spb/findata

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

added .env.example +22 −0

				@@ -0,0 +1,22 @@
		1	+# FinData OS — runtime configuration (copy to .env on the node; mode 600; never commit)
		2	+FINDATA_ENV=production
		3	+FINDATA_ROOT=/Users/simon-pierreboucher/apps/findata
		4	+FINDATA_LAKE=/Users/simon-pierreboucher/findata-lake
		5	+FINDATA_DATABASE_URL=postgresql://findata:CHANGE_ME@127.0.0.1:5432/findata
		6	+FINDATA_BIND_HOST=127.0.0.1
		7	+FINDATA_BIND_PORT=8600
		8	+FINDATA_PUBLIC_URL=https://findata.spboucher.ai
		9	+# 32+ random bytes, base64 — session cookie signing
		10	+FINDATA_SECRET_KEY=CHANGE_ME
		11	+# Vendor credentials (FirstRate Data customer id). Never logged, never sent to the browser.
		12	+FRD_USERID=CHANGE_ME
		13	+# SEC EDGAR fair-access User-Agent (name + contact email). Leave empty to keep the connector "pending configuration".
		14	+SEC_EDGAR_USER_AGENT=
		15	+# Optional AI assistant (phase 2) — server-side BYOK only
		16	+ANTHROPIC_API_KEY=
		17	+OPENAI_API_KEY=
		18	+# Lake budget (GB)
		19	+FINDATA_LAKE_SOFT_LIMIT_GB=250
		20	+FINDATA_LAKE_HARD_MIN_FREE_GB=60
		21	+# Backup target (rsync over SSH, LAN)
		22	+FINDATA_BACKUP_TARGET=M4M64a:~/backups/findata

added .gitignore +18 −0

				@@ -0,0 +1,18 @@
		1	+.venv/
		2	+__pycache__/
		3	+*.pyc
		4	+.pytest_cache/
		5	+.ruff_cache/
		6	+.env
		7	+.env.*
		8	+!.env.example
		9	+*.secret
		10	+node_modules/
		11	+apps/web/.next/
		12	+apps/web/out/
		13	+apps/web/next-env.d.ts
		14	+data/
		15	+logs/
		16	+backups/
		17	+.DS_Store
		18	+/tests/_tmp/

added Makefile +10 −0

				@@ -0,0 +1,10 @@
		1	+.PHONY: sync test lint web migrate api worker status audit
		2	+sync: ; uv sync
		3	+test: ; uv run pytest -q
		4	+lint: ; uv run ruff check .
		5	+audit: ; uv run pip-audit --strict || true
		6	+web: ; cd apps/web && pnpm install --frozen-lockfile && pnpm build
		7	+migrate: ; uv run findata migrate
		8	+api: ; uv run uvicorn findata_api.main:app --host 127.0.0.1 --port 8600 --reload
		9	+worker: ; uv run findata worker
		10	+status: ; uv run findata status

added README.md +14 −0

				@@ -0,0 +1,14 @@
		1	+# FinData OS
		2	+
		3	+Private, research-grade financial data lakehouse for the MacLustr cluster — https://findata.spboucher.ai (owner only).
		4	+
		5	+- Vendor: **FirstRate Data** (market data bundles + US fundamentals API). License: private use, no redistribution.
		6	+- Node: M3U96a (1 TB NVMe), lake `~/findata-lake`, PostgreSQL 17 metadata, DuckDB reads, FastAPI `/api/v1`, Next.js console.
		7	+- Docs: `docs/DISCOVERY.md` (phase 0 evidence), `docs/ARCHITECTURE.md`, `docs/DATA_DICTIONARY.md`, `docs/OPERATIONS.md`, `docs/SECURITY.md`, `docs/STATUS.md`.
		8	+
		9	+```bash
		10	+uv sync && make test # 36 tests (unit + integration against local Postgres `findata_test`)
		11	+make web # build the console (apps/web/out)
		12	+uv run findata --help # operator CLI
		13	+```
		14	+Python SDK: `packages/python-sdk` — `from findata_sdk import FinData`.

added apps/web/.gitignore +6 −0

				@@ -0,0 +1,6 @@
		1	+node_modules/
		2	+.next/
		3	+out/
		4	+next-env.d.ts
		5	+*.tsbuildinfo
		6	+.DS_Store

added apps/web/.npmrc +1 −0

				@@ -0,0 +1 @@
		1	+node-linker=hoisted

added apps/web/next.config.ts +23 −0

				@@ -0,0 +1,23 @@
		1	+import type { NextConfig } from "next";
		2	+
		3	+const isDev = process.env.NODE_ENV === "development";
		4	+
		5	+const nextConfig: NextConfig = {
		6	+ // Static export: the Python API (FastAPI StaticFiles, html=True) serves apps/web/out
		7	+ // with directory index.html fallback, so every route must end with a slash.
		8	+ output: "export",
		9	+ trailingSlash: true,
		10	+ images: { unoptimized: true },
		11	+ reactStrictMode: true,
		12	+ poweredByHeader: false,
		13	+ // Dev only: proxy the API to the local FastAPI instance. Ignored by `next build` (static export).
		14	+ ...(isDev
		15	+ ? {
		16	+ async rewrites() {
		17	+ return [{ source: "/api/:path*", destination: "http://127.0.0.1:8600/api/:path*" }];
		18	+ },
		19	+ }
		20	+ : {}),
		21	+};
		22	+
		23	+export default nextConfig;

added apps/web/package.json +31 −0

				@@ -0,0 +1,31 @@
		1	+{
		2	+ "name": "findata-web",
		3	+ "version": "1.0.0",
		4	+ "private": true,
		5	+ "description": "FinData OS — private web console (static export served by the Python API)",
		6	+ "scripts": {
		7	+ "dev": "next dev -p 3000",
		8	+ "build": "next build",
		9	+ "typecheck": "tsc --noEmit",
		10	+ "lint": "next lint"
		11	+ },
		12	+ "dependencies": {
		13	+ "clsx": "^2.1.1",
		14	+ "lucide-react": "^1.66.0",
		15	+ "next": "^15.5.0",
		16	+ "react": "^19.0.0",
		17	+ "react-dom": "^19.0.0",
		18	+ "recharts": "^3.10.1"
		19	+ },
		20	+ "devDependencies": {
		21	+ "@tailwindcss/postcss": "^4.1.0",
		22	+ "@types/node": "^22.0.0",
		23	+ "@types/react": "^19.0.0",
		24	+ "@types/react-dom": "^19.0.0",
		25	+ "tailwindcss": "^4.1.0",
		26	+ "typescript": "^5.7.0"
		27	+ },
		28	+ "engines": {
		29	+ "node": ">=20"
		30	+ }
		31	+}

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		1336	+ d3-shape: 3.2.0
		1337	+ d3-time: 3.1.0
		1338	+ d3-timer: 3.0.1

added apps/web/postcss.config.mjs +2 −0

				@@ -0,0 +1,2 @@
		1	+const config = { plugins: { "@tailwindcss/postcss": {} } };
		2	+export default config;

added apps/web/public/favicon.svg +1 −0

				@@ -0,0 +1 @@
		1	+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 32 32"><rect width="32" height="32" rx="7" fill="#2a78d6"/><path d="M8 22V10h4v12zm6 0V14h4v8zm6 0v-5h4v5z" fill="#fff"/></svg>

added apps/web/public/robots.txt +2 −0

				@@ -0,0 +1,2 @@
		1	+User-agent: *
		2	+Disallow: /

added apps/web/src/app/bars/page.tsx +237 −0

				@@ -0,0 +1,237 @@
		1	+"use client";
		2	+import Link from "next/link";
		3	+import { useEffect, useMemo, useState, type FormEvent } from "react";
		4	+import { Download, Play } from "lucide-react";
		5	+import { api, isApiError, type Bar, type BarsOut } from "@/lib/api";
		6	+import { useQueryParam } from "@/lib/hooks";
		7	+import { useToast } from "@/lib/toast";
		8	+import { daysAgo, downloadText, fmtInt, fmtNum, fmtTs, toCsv, today } from "@/lib/format";
		9	+import { Banner, Card, Empty, ErrorState, Field, PageHeader, Tabs } from "@/components/ui";
		10	+import { DataTable } from "@/components/DataTable";
		11	+import { CloseLineChart, VolumeBarChart } from "@/components/charts";
		12	+
		13	+const MAX_SPAN: Record<string, number> = { "1m": 31, "5m": 186, "1d": 3660 };
		14	+
		15	+export default function BarsPage() {
		16	+ const qSymbol = useQueryParam("symbol");
		17	+ const qInterval = useQueryParam("interval");
		18	+ const [symbol, setSymbol] = useState("AAPL");
		19	+ const [interval, setInterval_] = useState<"1m" | "5m" | "1d">("1m");
		20	+ const [start, setStart] = useState(daysAgo(7));
		21	+ const [end, setEnd] = useState(today());
		22	+ const [adjustment, setAdjustment] = useState<"raw" | "split" | "split_div">("raw");
		23	+ const [limit, setLimit] = useState(2000);
		24	+ const [out, setOut] = useState<BarsOut | null>(null);
		25	+ const [rows, setRows] = useState<Bar[]>([]);
		26	+ const [busy, setBusy] = useState(false);
		27	+ const [error, setError] = useState<unknown>(null);
		28	+ const [view, setView] = useState<"chart" | "table">("chart");
		29	+ const toast = useToast();
		30	+
		31	+ useEffect(() => {
		32	+ if (qSymbol) setSymbol(qSymbol.toUpperCase());
		33	+ }, [qSymbol]);
		34	+ useEffect(() => {
		35	+ if (qInterval === "1m" || qInterval === "5m" || qInterval === "1d") setInterval_(qInterval);
		36	+ }, [qInterval]);
		37	+
		38	+ const spanDays = useMemo(() => Math.round((new Date(end).getTime() - new Date(start).getTime()) / 86_400_000), [start, end]);
		39	+ const tooLarge = spanDays > (MAX_SPAN[interval] ?? 31);
		40	+
		41	+ async function run(e?: FormEvent) {
		42	+ e?.preventDefault();
		43	+ setBusy(true);
		44	+ setError(null);
		45	+ try {
		46	+ const o = await api.get<BarsOut>("/market/bars", { symbol: symbol.trim().toUpperCase(), interval, start, end, adjustment, limit });
		47	+ setOut(o);
		48	+ setRows(o.data);
		49	+ } catch (err) {
		50	+ setError(err);
		51	+ setOut(null);
		52	+ setRows([]);
		53	+ } finally {
		54	+ setBusy(false);
		55	+ }
		56	+ }
		57	+
		58	+ async function loadMore() {
		59	+ if (!out?.next_cursor) return;
		60	+ setBusy(true);
		61	+ try {
		62	+ const o = await api.get<BarsOut>("/market/bars", { symbol: symbol.trim().toUpperCase(), interval, start, end, adjustment, limit, cursor: out.next_cursor });
		63	+ setOut({ ...o, data: [] });
		64	+ setRows((r) => [...r, ...o.data]);
		65	+ } catch (err) {
		66	+ toast.error(err);
		67	+ } finally {
		68	+ setBusy(false);
		69	+ }
		70	+ }
		71	+
		72	+ const chart = useMemo(
		73	+ () =>
		74	+ rows.map((b) => ({
		75	+ t: fmtTs(b.timestamp_utc),
		76	+ label: interval === "1d" ? b.session_date : fmtTs(b.timestamp_utc).slice(5, 16),
		77	+ close: b.close,
		78	+ open: b.open,
		79	+ high: b.high,
		80	+ low: b.low,
		81	+ volume: b.volume,
		82	+ })),
		83	+ [rows, interval],
		84	+ );
		85	+ const flagged = useMemo(() => rows.filter((b) => b.quality_flags && b.quality_flags.length > 0).length, [rows]);
		86	+ const flagCounts = useMemo(() => {
		87	+ const m = new Map<string, number>();
		88	+ for (const b of rows) for (const f of b.quality_flags ?? []) m.set(f, (m.get(f) ?? 0) + 1);
		89	+ return Array.from(m.entries()).sort((a, b) => b[1] - a[1]);
		90	+ }, [rows]);
		91	+
		92	+ const rangeErr = isApiError(error) && error.code === "range_too_large";
		93	+
		94	+ return (
		95	+ <>
		96	+ <PageHeader title="Bars explorer" subtitle="OHLCV bars stamped at bar open (UTC). Adjustments are applied at query time from corporate actions." />
		97	+ <Card className="mb-4">
		98	+ <form onSubmit={run} className="grid grid-cols-2 gap-3 md:grid-cols-3 lg:grid-cols-6 lg:items-end">
		99	+ <Field label="Symbol">
		100	+ <input className="input font-mono uppercase" value={symbol} onChange={(e) => setSymbol(e.target.value)} required />
		101	+ </Field>
		102	+ <Field label="Interval">
		103	+ <select className="input" value={interval} onChange={(e) => setInterval_(e.target.value as typeof interval)}>
		104	+ <option value="1m">1 minute</option>
		105	+ <option value="5m">5 minutes</option>
		106	+ <option value="1d">1 day</option>
		107	+ </select>
		108	+ </Field>
		109	+ <Field label="Start">
		110	+ <input type="date" className="input" value={start} max={end} onChange={(e) => setStart(e.target.value)} required />
		111	+ </Field>
		112	+ <Field label="End">
		113	+ <input type="date" className="input" value={end} min={start} onChange={(e) => setEnd(e.target.value)} required />
		114	+ </Field>
		115	+ <Field label="Adjustment">
		116	+ <select className="input" value={adjustment} onChange={(e) => setAdjustment(e.target.value as typeof adjustment)}>
		117	+ <option value="raw">raw (as traded)</option>
		118	+ <option value="split">split-adjusted</option>
		119	+ <option value="split_div">split + dividend</option>
		120	+ </select>
		121	+ </Field>
		122	+ <div className="flex items-end gap-2">
		123	+ <Field label="Page size" className="w-24">
		124	+ <input type="number" className="input" min={100} max={10000} step={100} value={limit} onChange={(e) => setLimit(Number(e.target.value) || 2000)} />
		125	+ </Field>
		126	+ <button className="btn btn-primary flex-1" disabled={busy || !symbol}>
		127	+ <Play className="h-3.5 w-3.5" /> {busy ? "Loading…" : "Load"}
		128	+ </button>
		129	+ </div>
		130	+ </form>
		131	+ <p className={tooLarge ? "mt-2 text-xs text-warn-ink" : "mt-2 text-xs text-ink-3"}>
		132	+ Range: {spanDays} day{spanDays === 1 ? "" : "s"} · limit for {interval}: {MAX_SPAN[interval]} days per call (HTTP 413 <code>range_too_large</code> beyond). Larger ranges →{" "}
		133	+ <Link href="/exports/" className="text-accent-ink hover:underline">
		134	+ Exports
		135	+ </Link>{" "}
		136	+ (async Parquet/CSV).
		137	+ </p>
		138	+ </Card>
		139	+
		140	+ {error && !rangeErr && <ErrorState error={error} retry={() => void run()} />}
		141	+ {rangeErr && (
		142	+ <Banner tone="warn" className="mb-4">
		143	+ <div className="font-medium">Range too large for {interval}</div>
		144	+ <div className="text-xs">
		145	+ {(error as Error).message} Use{" "}
		146	+ <Link href={`/exports/?symbols=${encodeURIComponent(symbol)}&start=${start}&end=${end}&adjustment=${adjustment}`} className="underline">
		147	+ an export
		148	+ </Link>{" "}
		149	+ for {spanDays} days, or shorten the window.
		150	+ </div>
		151	+ </Banner>
		152	+ )}
		153	+
		154	+ {out && (
		155	+ <>
		156	+ <div className="mb-3 flex flex-wrap items-center gap-2 text-xs text-ink-2">
		157	+ <span className="pill bg-surface-2">{out.meta.symbol}</span>
		158	+ <span className="pill bg-surface-2">{out.meta.interval}</span>
		159	+ <span className="pill bg-surface-2">{out.meta.adjustment}</span>
		160	+ {out.meta.version !== undefined && <span className="pill bg-surface-2">dataset v{String(out.meta.version)}</span>}
		161	+ <span className="tnum">
		162	+ {fmtInt(rows.length)} of {fmtInt(out.meta.rows_matching || rows.length)} rows
		163	+ </span>
		164	+ {flagged > 0 && <span className="pill bg-warn-soft text-warn-ink">{fmtInt(flagged)} flagged bars</span>}
		165	+ <span className="ml-auto">
		166	+ <Tabs value={view} onChange={setView} items={[{ value: "chart", label: "Chart" }, { value: "table", label: "Table" }]} />
		167	+ </span>
		168	+ </div>
		169	+ {out.meta.adjustment_notes?.length > 0 && (
		170	+ <Banner tone="accent" className="mb-3">
		171	+ <div className="text-xs font-medium">Adjustment notes</div>
		172	+ <ul className="list-disc pl-4 text-xs">
		173	+ {out.meta.adjustment_notes.map((n, i) => (
		174	+ <li key={i}>{n}</li>
		175	+ ))}
		176	+ </ul>
		177	+ </Banner>
		178	+ )}
		179	+ {flagCounts.length > 0 && (
		180	+ <div className="mb-3 flex flex-wrap gap-1 text-xs">
		181	+ <span className="text-ink-3">quality_flags:</span>
		182	+ {flagCounts.map(([f, n]) => (
		183	+ <span key={f} className="pill bg-warn-soft text-warn-ink">
		184	+ {f} × {fmtInt(n)}
		185	+ </span>
		186	+ ))}
		187	+ </div>
		188	+ )}
		189	+ {rows.length === 0 ? (
		190	+ <Empty>No bars for this range. Zero-volume bars are not stored; check the session coverage.</Empty>
		191	+ ) : view === "chart" ? (
		192	+ <Card title={`Close · ${out.meta.symbol} (${out.meta.adjustment})`}>
		193	+ <CloseLineChart data={chart} height={280} />
		194	+ <div className="mt-2 text-xs font-semibold text-ink-2">Volume</div>
		195	+ <VolumeBarChart data={chart} height={110} />
		196	+ <p className="mt-2 text-[11px] text-ink-3">Hover for OHLCV. Single series per chart — close and volume use separate axes by design.</p>
		197	+ </Card>
		198	+ ) : (
		199	+ <Card
		200	+ actions={
		201	+ <button className="btn btn-sm" onClick={() => downloadText(`${out.meta.symbol}_${interval}_${start}_${end}.csv`, toCsv(["timestamp_utc", "session_date", "open", "high", "low", "close", "volume", "vwap", "trade_count", "quality_flags"], rows.map((r) => ({ ...r, quality_flags: (r.quality_flags ?? []).join("|") }))))}>
		202	+ <Download className="h-3.5 w-3.5" /> CSV (loaded rows)
		203	+ </button>
		204	+ }
		205	+ >
		206	+ <DataTable
		207	+ rows={rows}
		208	+ rowKey={(r) => r.timestamp_utc}
		209	+ mobile="scroll"
		210	+ maxHeight="60dvh"
		211	+ columns={[
		212	+ { key: "timestamp_utc", header: "Timestamp (UTC, bar open)", render: (r) => <span className="tnum font-mono text-xs">{fmtTs(r.timestamp_utc)}</span> },
		213	+ { key: "session_date", header: "Session", hideSm: true, render: (r) => <span className="tnum">{r.session_date}</span> },
		214	+ { key: "open", header: "Open", num: true, render: (r) => fmtNum(r.open, 4) },
		215	+ { key: "high", header: "High", num: true, render: (r) => fmtNum(r.high, 4) },
		216	+ { key: "low", header: "Low", num: true, render: (r) => fmtNum(r.low, 4) },
		217	+ { key: "close", header: "Close", num: true, render: (r) => fmtNum(r.close, 4) },
		218	+ { key: "volume", header: "Volume", num: true, render: (r) => fmtInt(r.volume) },
		219	+ { key: "vwap", header: "VWAP", num: true, hideSm: true, render: (r) => (r.vwap === null || r.vwap === undefined ? "—" : fmtNum(r.vwap, 4)) },
		220	+ { key: "quality_flags", header: "Flags", render: (r) => (r.quality_flags?.length ? r.quality_flags.map((f) => <span key={f} className="pill mr-1 bg-warn-soft text-warn-ink">{f}</span>) : <span className="text-ink-3">—</span>) },
		221	+ ]}
		222	+ />
		223	+ </Card>
		224	+ )}
		225	+ <div className="mt-3 flex items-center justify-between text-xs text-ink-3">
		226	+ <span>{out.meta.license} · timestamps = {out.meta.timestamp_convention}</span>
		227	+ {out.next_cursor && (
		228	+ <button className="btn btn-sm" onClick={loadMore} disabled={busy}>
		229	+ {busy ? "Loading…" : `Load next ${fmtInt(limit)}`}
		230	+ </button>
		231	+ )}
		232	+ </div>
		233	+ </>
		234	+ )}
		235	+ </>
		236	+ );
		237	+}

added apps/web/src/app/coverage/page.tsx +134 −0

				@@ -0,0 +1,134 @@
		1	+"use client";
		2	+import Link from "next/link";
		3	+import { useEffect, useMemo, useState } from "react";
		4	+import { api, type Dataset, type Heatmap, type SessionRow } from "@/lib/api";
		5	+import { useAsync, useDebounced, useQueryParam } from "@/lib/hooks";
		6	+import { daysAgo, fmtCompact, fmtInt, fmtPct, fmtTime, today } from "@/lib/format";
		7	+import { Card, ErrorState, Field, PageHeader, Skeleton } from "@/components/ui";
		8	+import { DataTable } from "@/components/DataTable";
		9	+import { DateRange } from "@/components/DateRange";
		10	+import { CompletenessHeatmap, VolumeBarChart } from "@/components/charts";
		11	+
		12	+const DEFAULT_DS = "market_bars.stock.1m.raw";
		13	+
		14	+export default function CoveragePage() {
		15	+ const qDs = useQueryParam("dataset_id");
		16	+ const qSym = useQueryParam("symbol");
		17	+ const [datasetId, setDatasetId] = useState(DEFAULT_DS);
		18	+ const [start, setStart] = useState(daysAgo(120));
		19	+ const [end, setEnd] = useState(today());
		20	+ const [symbol, setSymbol] = useState("");
		21	+ const dsym = useDebounced(symbol.trim().toUpperCase(), 400);
		22	+
		23	+ useEffect(() => {
		24	+ if (qDs) setDatasetId(qDs);
		25	+ }, [qDs]);
		26	+ useEffect(() => {
		27	+ if (qSym) setSymbol(qSym.toUpperCase());
		28	+ }, [qSym]);
		29	+
		30	+ const datasets = useAsync((s) => api.get<{ data: Dataset[] }>("/catalog/datasets", undefined, s), []);
		31	+ const heat = useAsync((s) => api.get<Heatmap>("/coverage/heatmap", { dataset_id: datasetId, start, end }, s), [datasetId, start, end]);
		32	+ const interval = datasetId.includes(".5m.") ? "5m" : "1m";
		33	+ const sessions = useAsync((s) => api.get<{ data: SessionRow[]; meta: { dataset_id: string; symbol: string } }>("/market/sessions", { symbol: dsym, interval, start, end }, s), [dsym, interval, start, end], { enabled: dsym.length > 0 });
		34	+
		35	+ const barData = useMemo(() => (heat.data?.sessions ?? []).map((s) => ({ label: s.session_date, t: s.session_date, symbols: s.symbols, bars: s.bars })), [heat.data]);
		36	+ const totals = useMemo(() => {
		37	+ const ss = heat.data?.sessions ?? [];
		38	+ const bars = ss.reduce((a, s) => a + Number(s.bars ?? 0), 0);
		39	+ const comp = ss.filter((s) => s.completeness !== null);
		40	+ const avg = comp.length ? comp.reduce((a, s) => a + Number(s.completeness), 0) / comp.length : null;
		41	+ return { sessions: ss.length, bars, avg, maxSymbols: Math.max(0, ...ss.map((s) => s.symbols)) };
		42	+ }, [heat.data]);
		43	+
		44	+ const candidates = (datasets.data?.data ?? []).filter((d) => d.kind === "market_bars" || d.kind === "derived");
		45	+
		46	+ return (
		47	+ <>
		48	+ <PageHeader title="Coverage" subtitle="Sessions × completeness (bars ÷ expected regular-hours bars, capped at 100 %)" />
		49	+ <Card className="mb-4">
		50	+ <div className="flex flex-col gap-3 lg:flex-row lg:items-end lg:justify-between">
		51	+ <DateRange start={start} end={end} onChange={(s, e) => { setStart(s); setEnd(e); }} />
		52	+ <Field label="Dataset" className="lg:w-80">
		53	+ <select className="input font-mono text-xs" value={datasetId} onChange={(e) => setDatasetId(e.target.value)}>
		54	+ {!candidates.some((d) => d.id === datasetId) && <option value={datasetId}>{datasetId}</option>}
		55	+ {candidates.map((d) => (
		56	+ <option key={d.id} value={d.id}>
		57	+ {d.id} {d.status !== "active" ? `(${d.status})` : ""}
		58	+ </option>
		59	+ ))}
		60	+ </select>
		61	+ </Field>
		62	+ </div>
		63	+ </Card>
		64	+
		65	+ {heat.error && <ErrorState error={heat.error} retry={heat.reload} />}
		66	+ <div className="mb-4 grid grid-cols-2 gap-3 md:grid-cols-4">
		67	+ <div className="card"><div className="text-xs text-ink-2">Sessions in range</div><div className="mt-1 text-2xl font-semibold">{fmtInt(totals.sessions)}</div></div>
		68	+ <div className="card"><div className="text-xs text-ink-2">Bars in range</div><div className="mt-1 text-2xl font-semibold" title={fmtInt(totals.bars)}>{fmtCompact(totals.bars)}</div></div>
		69	+ <div className="card"><div className="text-xs text-ink-2">Mean completeness</div><div className="mt-1 text-2xl font-semibold">{fmtPct(totals.avg)}</div></div>
		70	+ <div className="card"><div className="text-xs text-ink-2">Max symbols / session</div><div className="mt-1 text-2xl font-semibold">{fmtInt(totals.maxSymbols)}</div></div>
		71	+ </div>
		72	+
		73	+ <div className="grid gap-4 lg:grid-cols-[1fr_minmax(300px,0.7fr)]">
		74	+ <div className="flex flex-col gap-4">
		75	+ <Card title="Completeness per session" className={heat.loading ? "opacity-70" : undefined}>
		76	+ {heat.loading && !heat.data ? <Skeleton rows={4} /> : heat.data ? <CompletenessHeatmap cells={heat.data.sessions} start={start} end={end} /> : null}
		77	+ </Card>
		78	+ <Card title="Bars per session">
		79	+ {heat.data && barData.length > 0 ? <VolumeBarChart data={barData} valueKey="bars" title="bars" height={140} /> : <div className="text-sm text-ink-3">No sessions in range.</div>}
		80	+ </Card>
		81	+ <Card title="Symbols per session">
		82	+ {heat.data && barData.length > 0 ? <VolumeBarChart data={barData} valueKey="symbols" title="symbols" height={120} color="var(--series-3)" /> : <div className="text-sm text-ink-3">No sessions in range.</div>}
		83	+ </Card>
		84	+ </div>
		85	+ <Card title={`Top symbols by bars (${heat.data?.top_symbols.length ?? 0})`}>
		86	+ <DataTable
		87	+ rows={heat.data?.top_symbols}
		88	+ loading={heat.loading}
		89	+ rowKey={(r) => r.symbol}
		90	+ mobile="scroll"
		91	+ maxHeight="32rem"
		92	+ onRowClick={(r) => setSymbol(r.symbol)}
		93	+ columns={[
		94	+ { key: "symbol", header: "Symbol", render: (r) => <Link href={`/symbols/detail/?symbol=${encodeURIComponent(r.symbol)}`} className="font-mono font-medium text-accent-ink hover:underline" onClick={(e) => e.stopPropagation()}>{r.symbol}</Link> },
		95	+ { key: "sessions", header: "Sessions", num: true, render: (r) => fmtInt(r.sessions) },
		96	+ { key: "bars", header: "Bars", num: true, render: (r) => fmtCompact(r.bars) },
		97	+ { key: "completeness", header: "Compl.", num: true, render: (r) => fmtPct(r.completeness) },
		98	+ ]}
		99	+ empty="No coverage rows in this range."
		100	+ />
		101	+ </Card>
		102	+ </div>
		103	+
		104	+ <Card title="Per-symbol sessions" className="mt-4" actions={<span className="text-xs text-ink-3">click a top symbol or type one</span>}>
		105	+ <Field label="Symbol" className="mb-3 max-w-xs">
		106	+ <input className="input font-mono uppercase" placeholder="AAPL" value={symbol} onChange={(e) => setSymbol(e.target.value)} />
		107	+ </Field>
		108	+ {sessions.error && <ErrorState error={sessions.error} retry={sessions.reload} />}
		109	+ {dsym ? (
		110	+ <DataTable
		111	+ rows={sessions.data?.data}
		112	+ loading={sessions.loading}
		113	+ rowKey={(r) => r.session_date}
		114	+ mobile="scroll"
		115	+ maxHeight="28rem"
		116	+ columns={[
		117	+ { key: "session_date", header: "Session", render: (r) => <span className="tnum">{r.session_date}</span> },
		118	+ { key: "bar_count", header: "Bars", num: true, render: (r) => fmtInt(r.bar_count) },
		119	+ { key: "expected_bars", header: "Expected", num: true, render: (r) => fmtInt(r.expected_bars) },
		120	+ { key: "completeness", header: "Compl.", num: true, render: (r) => (r.expected_bars ? fmtPct(Math.min(1, r.bar_count / r.expected_bars)) : "—") },
		121	+ { key: "first_ts", header: "First (UTC)", render: (r) => <span className="tnum">{fmtTime(r.first_ts)}</span> },
		122	+ { key: "last_ts", header: "Last (UTC)", render: (r) => <span className="tnum">{fmtTime(r.last_ts)}</span> },
		123	+ { key: "flags", header: "Flags", render: (r) => (r.flags?.length ? r.flags.map((f) => <span key={f} className="pill mr-1 bg-warn-soft text-warn-ink">{f}</span>) : <span className="text-ink-3">—</span>) },
		124	+ ]}
		125	+ empty={`No sessions for ${dsym} in this range.`}
		126	+ footer={<span>{fmtInt(sessions.data?.data.length ?? 0)} sessions · dataset {sessions.data?.meta.dataset_id}</span>}
		127	+ />
		128	+ ) : (
		129	+ <div className="text-sm text-ink-3">Enter a symbol to list its sessions.</div>
		130	+ )}
		131	+ </Card>
		132	+ </>
		133	+ );
		134	+}

added apps/web/src/app/datasets/detail/page.tsx +128 −0

				@@ -0,0 +1,128 @@
		1	+"use client";
		2	+import Link from "next/link";
		3	+import { ArrowLeft } from "lucide-react";
		4	+import { api, type DatasetDetail } from "@/lib/api";
		5	+import { useAsync, useQueryParam } from "@/lib/hooks";
		6	+import { fmtBytes, fmtInt, fmtTs } from "@/lib/format";
		7	+import { Card, Empty, ErrorState, KV, PageHeader, Skeleton, StatusBadge } from "@/components/ui";
		8	+import { DataTable } from "@/components/DataTable";
		9	+import { JsonView } from "@/components/JsonView";
		10	+
		11	+export default function DatasetDetailPage() {
		12	+ const id = useQueryParam("id");
		13	+ const { data, error, loading, reload } = useAsync((s) => api.get<DatasetDetail>(`/catalog/datasets/${encodeURIComponent(id!)}`, undefined, s), [id], { enabled: !!id });
		14	+ const d = data?.data;
		15	+
		16	+ return (
		17	+ <>
		18	+ <Link href="/datasets/" className="mb-2 inline-flex items-center gap-1 text-xs text-ink-2 hover:text-ink-1">
		19	+ <ArrowLeft className="h-3.5 w-3.5" /> Datasets
		20	+ </Link>
		21	+ <PageHeader
		22	+ title={d?.name ?? id ?? "Dataset"}
		23	+ subtitle={<span className="font-mono">{id}</span>}
		24	+ actions={
		25	+ d && (
		26	+ <>
		27	+ <StatusBadge status={d.status} />
		28	+ {d.status === "active" && d.kind === "market_bars" && (
		29	+ <Link href={`/bars/?interval=${d.interval ?? "1m"}`} className="btn btn-sm">
		30	+ Explore bars
		31	+ </Link>
		32	+ )}
		33	+ {d.status === "active" && (
		34	+ <Link href={`/coverage/?dataset_id=${encodeURIComponent(d.id)}`} className="btn btn-sm">
		35	+ Coverage
		36	+ </Link>
		37	+ )}
		38	+ </>
		39	+ )
		40	+ }
		41	+ />
		42	+ {!id && <Empty>Missing <code>?id=</code> parameter.</Empty>}
		43	+ {error && <ErrorState error={error} retry={reload} />}
		44	+ {loading && !data && <Skeleton rows={8} />}
		45	+ {d && (
		46	+ <div className="grid gap-4 lg:grid-cols-2">
		47	+ <Card title="Description">
		48	+ <p className="text-sm text-ink-1 whitespace-pre-wrap">{d.description || <span className="text-ink-3">No description.</span>}</p>
		49	+ {d.notes && <p className="mt-2 text-xs text-ink-2 whitespace-pre-wrap">{d.notes}</p>}
		50	+ <KV
		51	+ className="mt-3"
		52	+ items={[
		53	+ ["Kind", d.kind],
		54	+ ["Asset class", d.asset_class ?? "—"],
		55	+ ["Interval", d.interval ?? "—"],
		56	+ ["Source", `${d.source_name ?? d.source_id ?? "—"}${d.vendor ? ` · ${d.vendor}` : ""}`],
		57	+ ]}
		58	+ />
		59	+ </Card>
		60	+ <Card title="Data contract">
		61	+ <KV
		62	+ items={[
		63	+ ["Timestamp convention", d.timestamp_convention ?? "bar_open"],
		64	+ ["Storage timezone", d.timezone ?? "UTC"],
		65	+ ["Stored adjustment", d.adjustment ?? "raw"],
		66	+ ["Current version", d.current_version !== null && d.current_version !== undefined ? `v${d.current_version}` : "—"],
		67	+ ["License class", d.license_class],
		68	+ ]}
		69	+ />
		70	+ <p className="mt-3 rounded-md border border-warn/50 bg-warn-soft p-2 text-xs text-warn-ink">{d.license_text || "License not yet determined."}</p>
		71	+ </Card>
		72	+
		73	+ <Card title={`Version history (${data.versions.length})`} className="lg:col-span-2">
		74	+ <DataTable
		75	+ rows={data.versions}
		76	+ rowKey={(v) => v.version}
		77	+ mobile="scroll"
		78	+ columns={[
		79	+ { key: "version", header: "Version", render: (v) => <span className="font-medium tnum">v{v.version}</span> },
		80	+ { key: "snapshot_id", header: "Snapshot", mono: true },
		81	+ { key: "row_count", header: "Rows", num: true, render: (v) => fmtInt(v.row_count) },
		82	+ { key: "file_count", header: "Files", num: true, render: (v) => fmtInt(v.file_count) },
		83	+ { key: "bytes", header: "Bytes", num: true, render: (v) => fmtBytes(v.bytes) },
		84	+ { key: "created_at", header: "Created", render: (v) => <span className="tnum text-xs">{fmtTs(v.created_at)}</span> },
		85	+ { key: "note", header: "Note", render: (v) => <span className="text-xs text-ink-2">{v.note ?? "—"}</span> },
		86	+ ]}
		87	+ empty="No version published yet."
		88	+ />
		89	+ </Card>
		90	+
		91	+ <Card title="Live files (current layout)">
		92	+ <DataTable
		93	+ rows={data.files}
		94	+ rowKey={(f) => f.layout}
		95	+ mobile="scroll"
		96	+ columns={[
		97	+ { key: "layout", header: "Layout", render: (f) => <span className="font-medium">{f.layout}</span> },
		98	+ { key: "n", header: "Files", num: true, render: (f) => fmtInt(f.n) },
		99	+ { key: "rows", header: "Rows", num: true, render: (f) => fmtInt(f.rows) },
		100	+ { key: "bytes", header: "Bytes", num: true, render: (f) => fmtBytes(f.bytes) },
		101	+ { key: "d0", header: "From", render: (f) => f.d0 ?? "—" },
		102	+ { key: "d1", header: "To", render: (f) => f.d1 ?? "—" },
		103	+ ]}
		104	+ empty="No files registered."
		105	+ />
		106	+ </Card>
		107	+ <Card title={`Checkpoints (${data.checkpoints.length})`}>
		108	+ {data.checkpoints.length === 0 ? (
		109	+ <Empty>No checkpoints.</Empty>
		110	+ ) : (
		111	+ <ul className="flex flex-col gap-2">
		112	+ {data.checkpoints.map((c) => (
		113	+ <li key={c.key} className="text-sm">
		114	+ <div className="flex items-center justify-between gap-2">
		115	+ <code className="text-xs">{c.key}</code>
		116	+ <span className="tnum text-xs text-ink-3">{fmtTs(c.updated_at)}</span>
		117	+ </div>
		118	+ <JsonView value={c.value} collapsed />
		119	+ </li>
		120	+ ))}
		121	+ </ul>
		122	+ )}
		123	+ </Card>
		124	+ </div>
		125	+ )}
		126	+ </>
		127	+ );
		128	+}

added apps/web/src/app/datasets/page.tsx +94 −0

				@@ -0,0 +1,94 @@
		1	+"use client";
		2	+import Link from "next/link";
		3	+import { useMemo, useState } from "react";
		4	+import clsx from "clsx";
		5	+import { api, type Dataset } from "@/lib/api";
		6	+import { useAsync } from "@/lib/hooks";
		7	+import { fmtBytes, fmtCompact, fmtInt } from "@/lib/format";
		8	+import { Card, ErrorState, PageHeader, Skeleton, StatusBadge, Tabs } from "@/components/ui";
		9	+
		10	+const ORDER = ["active", "paused", "pending_configuration", "planned", "unsupported"];
		11	+
		12	+export default function DatasetsPage() {
		13	+ const { data, error, loading, reload } = useAsync((s) => api.get<{ data: Dataset[] }>("/catalog/datasets", undefined, s), []);
		14	+ const [filter, setFilter] = useState<"all" | "active" | "other">("all");
		15	+ const rows = useMemo(() => {
		16	+ const r = (data?.data ?? []).slice().sort((a, b) => ORDER.indexOf(a.status) - ORDER.indexOf(b.status) || a.id.localeCompare(b.id));
		17	+ if (filter === "active") return r.filter((d) => d.status === "active");
		18	+ if (filter === "other") return r.filter((d) => d.status !== "active");
		19	+ return r;
		20	+ }, [data, filter]);
		21	+
		22	+ return (
		23	+ <>
		24	+ <PageHeader
		25	+ title="Datasets"
		26	+ subtitle="Catalog of curated datasets, their contract and current version"
		27	+ actions={
		28	+ <Tabs
		29	+ value={filter}
		30	+ onChange={setFilter}
		31	+ items={[
		32	+ { value: "all", label: `All (${data?.data.length ?? 0})` },
		33	+ { value: "active", label: "Active" },
		34	+ { value: "other", label: "Planned / other" },
		35	+ ]}
		36	+ />
		37	+ }
		38	+ />
		39	+ {error && <ErrorState error={error} retry={reload} />}
		40	+ {loading && !data && <Skeleton rows={6} />}
		41	+ <div className="grid gap-3 md:grid-cols-2 xl:grid-cols-3">
		42	+ {rows.map((d) => (
		43	+ <Link key={d.id} href={`/datasets/detail/?id=${encodeURIComponent(d.id)}`} className={clsx("card flex flex-col gap-2 transition hover:border-accent/60", d.status !== "active" && "opacity-90")}>
		44	+ <div className="flex items-start justify-between gap-2">
		45	+ <div className="min-w-0">
		46	+ <div className="truncate font-semibold">{d.name}</div>
		47	+ <div className="truncate font-mono text-xs text-ink-3">{d.id}</div>
		48	+ </div>
		49	+ <StatusBadge status={d.status} />
		50	+ </div>
		51	+ {d.description && <p className="line-clamp-2 text-xs text-ink-2">{d.description}</p>}
		52	+ <div className="flex flex-wrap gap-1 text-[11px]">
		53	+ <span className="pill bg-surface-2 text-ink-2">{d.kind}</span>
		54	+ {d.asset_class && <span className="pill bg-surface-2 text-ink-2">{d.asset_class}</span>}
		55	+ {d.interval && <span className="pill bg-surface-2 text-ink-2">{d.interval}</span>}
		56	+ {d.adjustment && <span className="pill bg-surface-2 text-ink-2">{d.adjustment}</span>}
		57	+ <span className={clsx("pill", d.license_class === "public-domain" ? "bg-ok-soft text-ok-ink" : d.license_class === "pending" ? "bg-warn-soft text-warn-ink" : "bg-accent-soft text-accent-ink")} title={d.license_text}>
		58	+ {d.license_class}
		59	+ </span>
		60	+ </div>
		61	+ {d.status === "active" && (
		62	+ <dl className="mt-1 grid grid-cols-3 gap-2 text-xs">
		63	+ <div>
		64	+ <dt className="text-ink-3">Version</dt>
		65	+ <dd className="tnum">v{d.current_version ?? "—"}</dd>
		66	+ </div>
		67	+ <div>
		68	+ <dt className="text-ink-3">Rows</dt>
		69	+ <dd className="tnum" title={fmtInt(d.row_count)}>
		70	+ {fmtCompact(d.row_count)}
		71	+ </dd>
		72	+ </div>
		73	+ <div>
		74	+ <dt className="text-ink-3">Size</dt>
		75	+ <dd className="tnum">{fmtBytes(d.bytes)}</dd>
		76	+ </div>
		77	+ <div>
		78	+ <dt className="text-ink-3">Symbols</dt>
		79	+ <dd className="tnum">{fmtInt(d.symbols)}</dd>
		80	+ </div>
		81	+ <div className="col-span-2">
		82	+ <dt className="text-ink-3">Sessions</dt>
		83	+ <dd className="tnum">{d.first_session && d.last_session ? `${d.first_session} → ${d.last_session}` : "—"}</dd>
		84	+ </div>
		85	+ </dl>
		86	+ )}
		87	+ {d.source_name && <div className="text-[11px] text-ink-3">Source: {d.source_name}{d.vendor ? ` (${d.vendor})` : ""}</div>}
		88	+ </Link>
		89	+ ))}
		90	+ </div>
		91	+ {data && rows.length === 0 && <Card>No dataset matches this filter.</Card>}
		92	+ </>
		93	+ );
		94	+}

added apps/web/src/app/exports/page.tsx +160 −0

				@@ -0,0 +1,160 @@
		1	+"use client";
		2	+import { useEffect, useMemo, useState, type FormEvent } from "react";
		3	+import { Download, RefreshCw } from "lucide-react";
		4	+import { api, type Dataset, type ExportRow } from "@/lib/api";
		5	+import { useAsync, useInterval } from "@/lib/hooks";
		6	+import { useToast } from "@/lib/toast";
		7	+import { daysAgo, fmtBytes, fmtInt, fmtRelative, fmtTs, splitList, today } from "@/lib/format";
		8	+import { Banner, Card, ErrorState, Field, PageHeader, StatusBadge } from "@/components/ui";
		9	+import { DataTable } from "@/components/DataTable";
		10	+import { JsonView } from "@/components/JsonView";
		11	+
		12	+export default function ExportsPage() {
		13	+ const toast = useToast();
		14	+ const datasets = useAsync((s) => api.get<{ data: Dataset[] }>("/catalog/datasets", undefined, s), []);
		15	+ const list = useAsync((s) => api.get<{ data: ExportRow[] }>("/exports", undefined, s), []);
		16	+ const live = useMemo(() => (list.data?.data ?? []).some((e) => e.status === "queued" || e.status === "running"), [list.data]);
		17	+ useInterval(list.reload, live ? 3000 : null);
		18	+
		19	+ const [datasetId, setDatasetId] = useState("market_bars.stock.1m.raw");
		20	+ const [symbols, setSymbols] = useState("");
		21	+ const [start, setStart] = useState(daysAgo(365));
		22	+ const [end, setEnd] = useState(today());
		23	+ const [adjustment, setAdjustment] = useState<"raw" | "split" | "split_div">("raw");
		24	+ const [format, setFormat] = useState<"parquet" | "csv">("parquet");
		25	+ const [busy, setBusy] = useState(false);
		26	+
		27	+ // Prefill from the Bars explorer (range too large)
		28	+ useEffect(() => {
		29	+ const p = new URLSearchParams(window.location.search);
		30	+ if (p.get("symbols")) setSymbols(p.get("symbols")!.replace(/,/g, "\n"));
		31	+ if (p.get("start")) setStart(p.get("start")!);
		32	+ if (p.get("end")) setEnd(p.get("end")!);
		33	+ const a = p.get("adjustment");
		34	+ if (a === "raw" || a === "split" || a === "split_div") setAdjustment(a);
		35	+ }, []);
		36	+
		37	+ const syms = splitList(symbols);
		38	+
		39	+ async function submit(e: FormEvent) {
		40	+ e.preventDefault();
		41	+ setBusy(true);
		42	+ try {
		43	+ const out = await api.post<{ id: string; status: string; poll: string }>("/exports", { dataset_id: datasetId, symbols: syms, start, end, adjustment, format });
		44	+ toast.success("Export queued", out.id);
		45	+ list.reload();
		46	+ } catch (err) {
		47	+ toast.error(err);
		48	+ } finally {
		49	+ setBusy(false);
		50	+ }
		51	+ }
		52	+
		53	+ return (
		54	+ <>
		55	+ <PageHeader
		56	+ title="Exports"
		57	+ subtitle="Asynchronous Parquet/CSV extracts for ranges larger than the live API allows. Dataset version is pinned at submission."
		58	+ actions={
		59	+ <button className="btn btn-sm" onClick={list.reload}>
		60	+ <RefreshCw className="h-3.5 w-3.5" /> Refresh{live ? " (auto 3 s)" : ""}
		61	+ </button>
		62	+ }
		63	+ />
		64	+ <div className="grid gap-4 lg:grid-cols-[360px_minmax(0,1fr)]">
		65	+ <Card title="New export">
		66	+ <form onSubmit={submit} className="flex flex-col gap-3">
		67	+ <Field label="Dataset">
		68	+ <select className="input font-mono text-xs" value={datasetId} onChange={(e) => setDatasetId(e.target.value)}>
		69	+ {!(datasets.data?.data ?? []).some((d) => d.id === datasetId) && <option value={datasetId}>{datasetId}</option>}
		70	+ {(datasets.data?.data ?? []).filter((d) => d.status === "active").map((d) => (
		71	+ <option key={d.id} value={d.id}>
		72	+ {d.id}
		73	+ </option>
		74	+ ))}
		75	+ </select>
		76	+ </Field>
		77	+ <Field label={`Symbols (${syms.length}/500)`} hint="comma, space or newline separated">
		78	+ <textarea className="input min-h-24 font-mono uppercase" value={symbols} onChange={(e) => setSymbols(e.target.value)} placeholder={"AAPL\nMSFT\nSPY"} required />
		79	+ </Field>
		80	+ <div className="grid grid-cols-2 gap-2">
		81	+ <Field label="Start">
		82	+ <input type="date" className="input" value={start} max={end} onChange={(e) => setStart(e.target.value)} required />
		83	+ </Field>
		84	+ <Field label="End">
		85	+ <input type="date" className="input" value={end} min={start} onChange={(e) => setEnd(e.target.value)} required />
		86	+ </Field>
		87	+ <Field label="Adjustment">
		88	+ <select className="input" value={adjustment} onChange={(e) => setAdjustment(e.target.value as typeof adjustment)}>
		89	+ <option value="raw">raw</option>
		90	+ <option value="split">split</option>
		91	+ <option value="split_div">split + dividend</option>
		92	+ </select>
		93	+ </Field>
		94	+ <Field label="Format">
		95	+ <select className="input" value={format} onChange={(e) => setFormat(e.target.value as typeof format)}>
		96	+ <option value="parquet">Parquet (zstd)</option>
		97	+ <option value="csv">CSV</option>
		98	+ </select>
		99	+ </Field>
		100	+ </div>
		101	+ <button className="btn btn-primary" disabled={busy || syms.length === 0 || syms.length > 500}>
		102	+ {busy ? "Submitting…" : "Queue export"}
		103	+ </button>
		104	+ <p className="text-[11px] text-ink-3">Limits: 500 symbols, 12 years, 3 concurrent exports per principal. Files expire after ~72 h. Private use only — do not redistribute.</p>
		105	+ </form>
		106	+ </Card>
		107	+
		108	+ <Card title={`Exports (${list.data?.data.length ?? 0})`}>
		109	+ {list.error && <ErrorState error={list.error} retry={list.reload} />}
		110	+ <DataTable
		111	+ rows={list.data?.data}
		112	+ loading={list.loading}
		113	+ rowKey={(e) => e.id}
		114	+ mobile="cards"
		115	+ columns={[
		116	+ { key: "created_at", header: "Created", render: (e) => <span className="tnum text-xs" title={fmtTs(e.created_at)}>{fmtRelative(e.created_at)}</span> },
		117	+ { key: "status", header: "Status", render: (e) => <StatusBadge status={isExpired(e) ? "expired" : e.status} label={isExpired(e) ? "expired" : e.status} /> },
		118	+ {
		119	+ key: "request",
		120	+ header: "Request",
		121	+ render: (e) => (
		122	+ <div className="text-xs">
		123	+ <div className="font-mono">{e.request.dataset_id}{e.request.version !== undefined ? ` v${e.request.version}` : ""}</div>
		124	+ <div className="text-ink-2">
		125	+ {e.request.symbols.length} symbol{e.request.symbols.length === 1 ? "" : "s"} · {e.request.start} → {e.request.end} · {e.request.adjustment} · {e.format}
		126	+ </div>
		127	+ <div className="line-clamp-1 font-mono text-[11px] text-ink-3">{e.request.symbols.join(", ")}</div>
		128	+ </div>
		129	+ ),
		130	+ },
		131	+ { key: "row_count", header: "Rows", num: true, hideSm: true, render: (e) => fmtInt(e.row_count) },
		132	+ { key: "bytes", header: "Size", num: true, render: (e) => fmtBytes(e.bytes) },
		133	+ { key: "expires_at", header: "Expires", hideSm: true, render: (e) => <span className="tnum text-xs">{e.expires_at ? fmtRelative(e.expires_at) : "—"}</span> },
		134	+ {
		135	+ key: "download",
		136	+ header: "",
		137	+ render: (e) =>
		138	+ e.status === "ready" && !isExpired(e) ? (
		139	+ <a className="btn btn-sm btn-primary" href={`/api/v1/exports/${e.id}/download`} target="_blank" rel="noopener">
		140	+ <Download className="h-3.5 w-3.5" /> Download
		141	+ </a>
		142	+ ) : e.status === "failed" && e.error ? (
		143	+ <JsonView value={e.error} collapsed />
		144	+ ) : null,
		145	+ },
		146	+ ]}
		147	+ empty="No exports yet."
		148	+ />
		149	+ </Card>
		150	+ </div>
		151	+ <Banner tone="warn" className="mt-4">
		152	+ Exported files contain FirstRate Data bars licensed for <strong>private use by the subscriber only</strong>. Do not share, publish or re-host them.
		153	+ </Banner>
		154	+ </>
		155	+ );
		156	+}
		157	+
		158	+function isExpired(e: ExportRow): boolean {
		159	+ return e.status === "expired" || (!!e.expires_at && new Date(e.expires_at).getTime() < Date.now());
		160	+}

added apps/web/src/app/globals.css +153 −0

				@@ -0,0 +1,153 @@
		1	+@import "tailwindcss";
		2	+
		3	+/* ------------------------------------------------------------------ design tokens
		4	+ Brand-neutral palette (validated with the dataviz skill in light & dark).
		5	+ Everything is referenced by role; the dark values swap in one place. */
		6	+:root {
		7	+ color-scheme: light;
		8	+ --surface-0: #f4f4f1; /* page plane */
		9	+ --surface-1: #fcfcfb; /* cards, chart surface */
		10	+ --surface-2: #f0efec; /* table header, inset */
		11	+ --surface-3: #e6e5df; /* hover wash */
		12	+ --ink-1: #0b0b0b;
		13	+ --ink-2: #52514e;
		14	+ --ink-3: #898781;
		15	+ --hairline: #e1e0d9;
		16	+ --axis: #c3c2b7;
		17	+ --border: rgba(11, 11, 11, 0.10);
		18	+ --accent: #2a78d6;
		19	+ --accent-ink: #1c5cab;
		20	+ --accent-soft: #cde2fb;
		21	+ --series-1: #2a78d6;
		22	+ --series-2: #eb6834;
		23	+ --series-3: #1baf7a;
		24	+ --seq-100: #cde2fb; --seq-200: #9ec5f4; --seq-300: #6da7ec; --seq-400: #3987e5;
		25	+ --seq-500: #256abf; --seq-600: #184f95; --seq-700: #0d366b;
		26	+ --ok: #0ca30c; --ok-ink: #006300; --ok-soft: #dcf3dc;
		27	+ --warn: #fab219; --warn-ink: #7a4f00; --warn-soft: #fdf0cc;
		28	+ --serious: #ec835a; --serious-ink: #8a3a1a; --serious-soft: #fde3d8;
		29	+ --crit: #d03b3b; --crit-ink: #a02020; --crit-soft: #f8dada;
		30	+ --focus: #2a78d6;
		31	+}
		32	+@media (prefers-color-scheme: dark) {
		33	+ :root {
		34	+ color-scheme: dark;
		35	+ --surface-0: #0d0d0d;
		36	+ --surface-1: #1a1a19;
		37	+ --surface-2: #222220;
		38	+ --surface-3: #2c2c2a;
		39	+ --ink-1: #f0efec;
		40	+ --ink-2: #c3c2b7;
		41	+ --ink-3: #898781;
		42	+ --hairline: #2c2c2a;
		43	+ --axis: #383835;
		44	+ --border: rgba(255, 255, 255, 0.10);
		45	+ --accent: #3987e5;
		46	+ --accent-ink: #86b6ef;
		47	+ --accent-soft: #184f95;
		48	+ --series-1: #3987e5;
		49	+ --series-2: #d95926;
		50	+ --series-3: #199e70;
		51	+ --seq-100: #0d366b; --seq-200: #184f95; --seq-300: #256abf; --seq-400: #2a78d6;
		52	+ --seq-500: #3987e5; --seq-600: #6da7ec; --seq-700: #9ec5f4;
		53	+ --ok: #0ca30c; --ok-ink: #5fd15f; --ok-soft: #10321a;
		54	+ --warn: #fab219; --warn-ink: #fab219; --warn-soft: #3a2b05;
		55	+ --serious: #ec835a; --serious-ink: #f3a483; --serious-soft: #3d1f12;
		56	+ --crit: #d03b3b; --crit-ink: #ef7a7a; --crit-soft: #3d1414;
		57	+ --focus: #6da7ec;
		58	+ }
		59	+}
		60	+
		61	+@theme inline {
		62	+ --color-surface-0: var(--surface-0);
		63	+ --color-surface-1: var(--surface-1);
		64	+ --color-surface-2: var(--surface-2);
		65	+ --color-surface-3: var(--surface-3);
		66	+ --color-ink-1: var(--ink-1);
		67	+ --color-ink-2: var(--ink-2);
		68	+ --color-ink-3: var(--ink-3);
		69	+ --color-hairline: var(--hairline);
		70	+ --color-axis: var(--axis);
		71	+ --color-border: var(--border);
		72	+ --color-accent: var(--accent);
		73	+ --color-accent-ink: var(--accent-ink);
		74	+ --color-accent-soft: var(--accent-soft);
		75	+ --color-ok: var(--ok);
		76	+ --color-ok-ink: var(--ok-ink);
		77	+ --color-ok-soft: var(--ok-soft);
		78	+ --color-warn: var(--warn);
		79	+ --color-warn-ink: var(--warn-ink);
		80	+ --color-warn-soft: var(--warn-soft);
		81	+ --color-serious: var(--serious);
		82	+ --color-serious-ink: var(--serious-ink);
		83	+ --color-serious-soft: var(--serious-soft);
		84	+ --color-crit: var(--crit);
		85	+ --color-crit-ink: var(--crit-ink);
		86	+ --color-crit-soft: var(--crit-soft);
		87	+ --font-sans: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
		88	+ --font-mono: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", monospace;
		89	+}
		90	+
		91	+/* ------------------------------------------------------------------ base */
		92	+html, body { height: 100%; }
		93	+body {
		94	+ background: var(--surface-0);
		95	+ color: var(--ink-1);
		96	+ font-family: var(--font-sans);
		97	+ font-size: 14px;
		98	+ line-height: 1.45;
		99	+ -webkit-font-smoothing: antialiased;
		100	+ text-rendering: optimizeLegibility;
		101	+}
		102	+* { border-color: var(--border); }
		103	+:focus-visible { outline: 2px solid var(--focus); outline-offset: 2px; }
		104	+::selection { background: var(--accent-soft); }
		105	+a { color: inherit; }
		106	+code, pre, kbd, .mono { font-family: var(--font-mono); }
		107	+.tnum { font-variant-numeric: tabular-nums; }
		108	+
		109	+/* ------------------------------------------------------------------ components */
		110	+@layer components {
		111	+ .card { @apply rounded-lg border border-border bg-surface-1 p-4; }
		112	+ .card-title { @apply mb-3 flex items-center justify-between gap-2 text-sm font-semibold text-ink-1; }
		113	+ .muted { @apply text-ink-3; }
		114	+ .label { @apply mb-1 block text-xs font-medium text-ink-2; }
		115	+ .input {
		116	+ @apply w-full rounded-md border border-border bg-surface-1 px-2.5 py-1.5 text-sm text-ink-1 placeholder:text-ink-3;
		117	+ @apply focus:border-accent focus:outline-none focus:ring-2 focus:ring-accent/30 disabled:opacity-60;
		118	+ }
		119	+ select.input { @apply pr-7; }
		120	+ .btn {
		121	+ @apply inline-flex items-center justify-center gap-1.5 rounded-md border border-border bg-surface-1 px-3 py-1.5 text-sm font-medium text-ink-1;
		122	+ @apply hover:bg-surface-3 disabled:cursor-not-allowed disabled:opacity-50 active:translate-y-px;
		123	+ }
		124	+ .btn-primary { @apply border-transparent bg-accent text-white hover:bg-accent hover:brightness-110; }
		125	+ .btn-danger { @apply border-transparent bg-crit text-white hover:brightness-110; }
		126	+ .btn-sm { @apply px-2 py-1 text-xs; }
		127	+ .btn-ghost { @apply border-transparent bg-transparent; }
		128	+ .pill { @apply inline-flex items-center gap-1 rounded-full px-2 py-0.5 text-xs font-medium whitespace-nowrap; }
		129	+ .table-wrap { @apply -mx-4 overflow-x-auto px-4 sm:mx-0 sm:px-0; }
		130	+ .table { @apply w-full border-collapse text-sm; }
		131	+ .table th { @apply sticky top-0 z-[1] border-b border-hairline bg-surface-2 px-2.5 py-2 text-left text-xs font-semibold text-ink-2 whitespace-nowrap; }
		132	+ .table td { @apply border-b border-hairline px-2.5 py-1.5 align-top text-ink-1; }
		133	+ .table tbody tr:hover td { background: var(--surface-2); }
		134	+ .table .num { @apply text-right tnum; }
		135	+ .kbd { @apply rounded border border-border bg-surface-2 px-1 py-px font-mono text-[11px] text-ink-2; }
		136	+ .banner { @apply rounded-md border px-3 py-2 text-sm; }
		137	+ .nav-link { @apply flex items-center gap-2.5 rounded-md px-2.5 py-1.5 text-sm text-ink-2 hover:bg-surface-3 hover:text-ink-1; }
		138	+ .nav-link[aria-current="page"] { @apply bg-accent-soft text-accent-ink font-medium; }
		139	+ .section-title { @apply text-lg font-semibold tracking-tight text-ink-1; }
		140	+ .skeleton { @apply animate-pulse rounded bg-surface-3; }
		141	+}
		142	+
		143	+/* recharts chrome */
		144	+.recharts-cartesian-grid line { stroke: var(--hairline); }
		145	+.recharts-cartesian-axis line, .recharts-cartesian-axis-tick-line { stroke: var(--axis); }
		146	+.recharts-text { fill: var(--ink-3); font-size: 11px; }
		147	+.recharts-tooltip-cursor { stroke: var(--axis); }
		148	+
		149	+/* dialog backdrop */
		150	+dialog::backdrop { background: rgba(0, 0, 0, 0.45); }
		151	+
		152	+/* hide number spinners for dense forms */
		153	+input[type="number"]::-webkit-inner-spin-button { opacity: 0.4; }

added apps/web/src/app/ingestion/page.tsx +350 −0

				@@ -0,0 +1,350 @@
		1	+"use client";
		2	+import { useMemo, useState, type FormEvent } from "react";
		3	+import { Plus, RefreshCw, RotateCcw, XCircle } from "lucide-react";
		4	+import { api, type Dataset, type HealthReport, type Job } from "@/lib/api";
		5	+import { useAsync, useInterval } from "@/lib/hooks";
		6	+import { useToast } from "@/lib/toast";
		7	+import { useAuth } from "@/lib/auth";
		8	+import { daysAgo, fmtDuration, fmtInt, fmtTs, splitList, today } from "@/lib/format";
		9	+import { Banner, Card, Empty, ErrorState, Field, PageHeader, StatusBadge } from "@/components/ui";
		10	+import { DataTable } from "@/components/DataTable";
		11	+import { JsonView } from "@/components/JsonView";
		12	+import { ConfirmDialog, Modal } from "@/components/ConfirmDialog";
		13	+
		14	+const KINDS = ["incremental", "metadata", "backfill", "fundamentals", "derive", "compaction", "quality", "backup", "gc"] as const;
		15	+type Kind = (typeof KINDS)[number];
		16	+const STATUSES = ["", "queued", "running", "succeeded", "failed", "dead", "cancelled"];
		17	+
		18	+const KIND_HELP: Record<Kind, string> = {
		19	+ incremental: "Fetch the vendor's latest day or week of bars and append (idempotent).",
		20	+ metadata: "Refresh the instrument master, corporate actions and vendor checkpoints.",
		21	+ backfill: "Full-history download for a ticker range (first letter). Heavy on disk and bandwidth.",
		22	+ fundamentals: "Ingest point-in-time fundamentals for the given tickers (or the tracked list).",
		23	+ derive: "Rebuild derived datasets (5m / 1d) from 1-minute bars.",
		24	+ compaction: "Merge delta files into base files and publish a new dataset version.",
		25	+ quality: "Run the quality checks and record anomalies.",
		26	+ backup: "pg_dump + rsync of the lake metadata to the backup target.",
		27	+ gc: "Garbage-collect retired files and expired exports.",
		28	+};
		29	+
		30	+export default function IngestionPage() {
		31	+ const { isOwner } = useAuth();
		32	+ const toast = useToast();
		33	+ const [status, setStatus] = useState("");
		34	+ const [kind, setKind] = useState("");
		35	+ const jobs = useAsync((s) => api.get<{ data: Job[] }>("/admin/jobs", { status, kind, limit: 300 }, s), [status, kind], { enabled: isOwner });
		36	+ const dead = useAsync((s) => api.get<{ data: Job[] }>("/admin/jobs", { status: "dead", limit: 100 }, s), [], { enabled: isOwner });
		37	+ const failed = useAsync((s) => api.get<{ data: Job[] }>("/admin/jobs", { status: "failed", limit: 100 }, s), [], { enabled: isOwner });
		38	+ const datasets = useAsync((s) => api.get<{ data: Dataset[] }>("/catalog/datasets", undefined, s), []);
		39	+ const health = useAsync((s) => api.get<HealthReport>("/health", undefined, s), []);
		40	+ const [inspect, setInspect] = useState<Job | null>(null);
		41	+ const [showForm, setShowForm] = useState(false);
		42	+
		43	+ const reloadAll = () => {
		44	+ jobs.reload();
		45	+ dead.reload();
		46	+ failed.reload();
		47	+ };
		48	+ const hasLive = (jobs.data?.data ?? []).some((j) => j.status === "queued" || j.status === "running");
		49	+ useInterval(reloadAll, hasLive ? 5000 : 30000);
		50	+
		51	+ async function act(j: Job, action: "retry" | "cancel") {
		52	+ try {
		53	+ await api.post(`/admin/jobs/${j.id}/${action}`);
		54	+ toast.success(`Job ${action === "retry" ? "re-queued" : "cancelled"}`, j.id);
		55	+ reloadAll();
		56	+ } catch (e) {
		57	+ toast.error(e);
		58	+ }
		59	+ }
		60	+
		61	+ const counts = useMemo(() => {
		62	+ const m: Record<string, number> = {};
		63	+ for (const j of jobs.data?.data ?? []) m[j.status] = (m[j.status] ?? 0) + 1;
		64	+ return m;
		65	+ }, [jobs.data]);
		66	+
		67	+ if (!isOwner) return <Banner tone="warn">Ingestion controls require the owner role.</Banner>;
		68	+
		69	+ const columns = [
		70	+ { key: "kind", header: "Kind", render: (j: Job) => <span className="font-medium">{j.kind}</span> },
		71	+ { key: "dataset_id", header: "Dataset", mono: true, hideSm: true, render: (j: Job) => <span className="font-mono text-xs">{j.dataset_id ?? "—"}</span> },
		72	+ { key: "status", header: "Status", render: (j: Job) => <StatusBadge status={j.status} /> },
		73	+ { key: "attempts", header: "Att.", num: true, hideSm: true, render: (j: Job) => `${j.attempts ?? 0}/${j.max_attempts ?? "—"}` },
		74	+ { key: "created_at", header: "Created", hideSm: true, render: (j: Job) => <span className="tnum text-xs">{fmtTs(j.created_at)}</span> },
		75	+ { key: "duration", header: "Duration", render: (j: Job) => <span className="tnum text-xs">{j.started_at ? fmtDuration(j.started_at, j.finished_at) : "—"}</span> },
		76	+ { key: "progress", header: "Progress", render: (j: Job) => (j.progress ? <JsonView value={j.progress} collapsed /> : <span className="text-ink-3">—</span>) },
		77	+ { key: "last_error", header: "Error", render: (j: Job) => (j.last_error ? <span className="line-clamp-2 text-xs text-crit-ink">{j.last_error}</span> : <span className="text-ink-3">—</span>) },
		78	+ {
		79	+ key: "actions",
		80	+ header: "",
		81	+ render: (j: Job) => (
		82	+ <div className="flex gap-1" onClick={(e) => e.stopPropagation()}>
		83	+ {(j.status === "failed" || j.status === "dead" || j.status === "cancelled") && (
		84	+ <button className="btn btn-sm" onClick={() => void act(j, "retry")} title="Retry">
		85	+ <RotateCcw className="h-3.5 w-3.5" /> Retry
		86	+ </button>
		87	+ )}
		88	+ {j.status === "queued" && (
		89	+ <button className="btn btn-sm" onClick={() => void act(j, "cancel")} title="Cancel">
		90	+ <XCircle className="h-3.5 w-3.5" /> Cancel
		91	+ </button>
		92	+ )}
		93	+ </div>
		94	+ ),
		95	+ },
		96	+ ];
		97	+
		98	+ return (
		99	+ <>
		100	+ <PageHeader
		101	+ title="Ingestion"
		102	+ subtitle={<>Job queue · {Object.entries(counts).map(([k, v]) => `${k} ${v}`).join(" · ") || "no jobs"} · refresh every {hasLive ? 5 : 30} s</>}
		103	+ actions={
		104	+ <>
		105	+ <button className="btn btn-sm" onClick={reloadAll}>
		106	+ <RefreshCw className="h-3.5 w-3.5" /> Refresh
		107	+ </button>
		108	+ <button className="btn btn-sm btn-primary" onClick={() => setShowForm(true)}>
		109	+ <Plus className="h-3.5 w-3.5" /> Enqueue job
		110	+ </button>
		111	+ </>
		112	+ }
		113	+ />
		114	+
		115	+ {health.data?.components.ingest_worker && health.data.components.ingest_worker !== "running" && (
		116	+ <Banner tone="crit" className="mb-4">
		117	+ The ingest worker is <strong>{health.data.components.ingest_worker}</strong> — queued jobs will not start until it holds the lake lock.
		118	+ </Banner>
		119	+ )}
		120	+
		121	+ {(dead.data?.data.length ?? 0) + (failed.data?.data.length ?? 0) > 0 && (
		122	+ <Card title={`Dead-letter & failed (${(dead.data?.data.length ?? 0) + (failed.data?.data.length ?? 0)})`} className="mb-4 border-crit/40">
		123	+ <DataTable rows={[...(dead.data?.data ?? []), ...(failed.data?.data ?? [])]} rowKey={(j) => j.id} mobile="scroll" columns={columns} onRowClick={setInspect} />
		124	+ </Card>
		125	+ )}
		126	+
		127	+ <Card
		128	+ title="Jobs"
		129	+ actions={
		130	+ <div className="flex gap-2">
		131	+ <select className="input w-auto py-1 text-xs" value={status} onChange={(e) => setStatus(e.target.value)} aria-label="Status filter">
		132	+ {STATUSES.map((s) => (
		133	+ <option key={s} value={s}>
		134	+ {s || "any status"}
		135	+ </option>
		136	+ ))}
		137	+ </select>
		138	+ <select className="input w-auto py-1 text-xs" value={kind} onChange={(e) => setKind(e.target.value)} aria-label="Kind filter">
		139	+ <option value="">any kind</option>
		140	+ {KINDS.map((k) => (
		141	+ <option key={k} value={k}>
		142	+ {k}
		143	+ </option>
		144	+ ))}
		145	+ </select>
		146	+ </div>
		147	+ }
		148	+ >
		149	+ {jobs.error && <ErrorState error={jobs.error} retry={jobs.reload} />}
		150	+ <DataTable rows={jobs.data?.data} loading={jobs.loading} rowKey={(j) => j.id} mobile="scroll" columns={columns} onRowClick={setInspect} empty="No jobs match." footer={<span>{fmtInt(jobs.data?.data.length ?? 0)} jobs (max 300)</span>} />
		151	+ </Card>
		152	+
		153	+ <Modal open={!!inspect} title={inspect ? `${inspect.kind} · ${inspect.id}` : ""} onClose={() => setInspect(null)} wide>
		154	+ {inspect && (
		155	+ <div className="grid gap-3 md:grid-cols-2">
		156	+ <div className="md:col-span-2 flex flex-wrap items-center gap-2 text-sm">
		157	+ <StatusBadge status={inspect.status} />
		158	+ <span className="font-mono text-xs">{inspect.dataset_id}</span>
		159	+ <span className="text-xs text-ink-3">priority {inspect.priority} · attempts {inspect.attempts}/{inspect.max_attempts} · by {inspect.created_by ?? "—"}</span>
		160	+ </div>
		161	+ <div className="text-xs">
		162	+ <div className="text-ink-3">created</div>
		163	+ {fmtTs(inspect.created_at)}
		164	+ <div className="mt-1 text-ink-3">started</div>
		165	+ {fmtTs(inspect.started_at)}
		166	+ <div className="mt-1 text-ink-3">finished</div>
		167	+ {fmtTs(inspect.finished_at)}
		168	+ <div className="mt-1 text-ink-3">next run</div>
		169	+ {fmtTs(inspect.next_run_at)}
		170	+ </div>
		171	+ <div>
		172	+ <div className="mb-1 text-xs text-ink-3">params</div>
		173	+ <JsonView value={inspect.params ?? {}} />
		174	+ </div>
		175	+ <div>
		176	+ <div className="mb-1 text-xs text-ink-3">progress</div>
		177	+ <JsonView value={inspect.progress ?? {}} />
		178	+ </div>
		179	+ <div>
		180	+ <div className="mb-1 text-xs text-ink-3">result</div>
		181	+ <JsonView value={inspect.result ?? {}} />
		182	+ </div>
		183	+ {inspect.last_error && (
		184	+ <div className="md:col-span-2">
		185	+ <div className="mb-1 text-xs text-ink-3">last_error</div>
		186	+ <pre className="overflow-auto rounded-md border border-crit/40 bg-crit-soft p-2 text-xs text-crit-ink whitespace-pre-wrap">{inspect.last_error}</pre>
		187	+ </div>
		188	+ )}
		189	+ </div>
		190	+ )}
		191	+ </Modal>
		192	+
		193	+ <Modal open={showForm} title="Enqueue a job" onClose={() => setShowForm(false)}>
		194	+ <EnqueueForm
		195	+ datasets={datasets.data?.data ?? []}
		196	+ lake={health.data?.components.lake}
		197	+ onDone={() => {
		198	+ setShowForm(false);
		199	+ reloadAll();
		200	+ }}
		201	+ />
		202	+ </Modal>
		203	+ </>
		204	+ );
		205	+}
		206	+
		207	+function EnqueueForm({ datasets, lake, onDone }: { datasets: Dataset[]; lake?: HealthReport["components"]["lake"]; onDone: () => void }) {
		208	+ const toast = useToast();
		209	+ const [kind, setKind] = useState<Kind>("incremental");
		210	+ const [datasetId, setDatasetId] = useState("market_bars.stock.1m.raw");
		211	+ const [period, setPeriod] = useState<"day" | "week">("day");
		212	+ const [letter, setLetter] = useState("A");
		213	+ const [tickers, setTickers] = useState("");
		214	+ const [start, setStart] = useState(daysAgo(30));
		215	+ const [end, setEnd] = useState(today());
		216	+ const [priority, setPriority] = useState(50);
		217	+ const [extra, setExtra] = useState("{}");
		218	+ const [confirm, setConfirm] = useState(false);
		219	+ const [busy, setBusy] = useState(false);
		220	+
		221	+ const needsDataset = ["incremental", "backfill", "derive", "compaction", "quality"].includes(kind);
		222	+
		223	+ function buildParams(): Record<string, unknown> {
		224	+ let base: Record<string, unknown> = {};
		225	+ try {
		226	+ base = extra.trim() ? (JSON.parse(extra) as Record<string, unknown>) : {};
		227	+ } catch {
		228	+ throw new Error("Extra params must be valid JSON");
		229	+ }
		230	+ if (kind === "incremental") base = { period, ...base };
		231	+ if (kind === "backfill") base = { ticker_range: letter.toUpperCase(), ...base };
		232	+ if (kind === "fundamentals") {
		233	+ const t = splitList(tickers);
		234	+ if (t.length) base = { tickers: t, ...base };
		235	+ }
		236	+ if (kind === "quality" || kind === "derive") base = { start, end, ...base };
		237	+ return base;
		238	+ }
		239	+
		240	+ async function submit(e?: FormEvent) {
		241	+ e?.preventDefault();
		242	+ if (kind === "backfill" && !confirm) {
		243	+ setConfirm(true);
		244	+ return;
		245	+ }
		246	+ setBusy(true);
		247	+ try {
		248	+ const params = buildParams();
		249	+ const out = await api.post<{ id: string }>("/admin/jobs", { kind, dataset_id: needsDataset || kind === "fundamentals" ? datasetId || null : null, params, priority });
		250	+ toast.success("Job enqueued", `${kind} · ${out.id}`);
		251	+ onDone();
		252	+ } catch (err) {
		253	+ toast.error(err);
		254	+ } finally {
		255	+ setBusy(false);
		256	+ setConfirm(false);
		257	+ }
		258	+ }
		259	+
		260	+ return (
		261	+ <form onSubmit={submit} className="flex flex-col gap-3">
		262	+ <Field label="Kind">
		263	+ <select className="input" value={kind} onChange={(e) => setKind(e.target.value as Kind)}>
		264	+ {KINDS.map((k) => (
		265	+ <option key={k} value={k}>
		266	+ {k}
		267	+ </option>
		268	+ ))}
		269	+ </select>
		270	+ </Field>
		271	+ <p className="text-xs text-ink-2">{KIND_HELP[kind]}</p>
		272	+ {needsDataset && (
		273	+ <Field label="Dataset">
		274	+ <select className="input font-mono text-xs" value={datasetId} onChange={(e) => setDatasetId(e.target.value)}>
		275	+ {!datasets.some((d) => d.id === datasetId) && <option value={datasetId}>{datasetId}</option>}
		276	+ {datasets.map((d) => (
		277	+ <option key={d.id} value={d.id}>
		278	+ {d.id}
		279	+ </option>
		280	+ ))}
		281	+ </select>
		282	+ </Field>
		283	+ )}
		284	+ {kind === "incremental" && (
		285	+ <Field label="Period">
		286	+ <select className="input" value={period} onChange={(e) => setPeriod(e.target.value as "day" | "week")}>
		287	+ <option value="day">latest day</option>
		288	+ <option value="week">latest week</option>
		289	+ </select>
		290	+ </Field>
		291	+ )}
		292	+ {kind === "backfill" && (
		293	+ <Field label="Ticker range (first letter)" hint="One letter A–Z or 0 (numeric tickers). One backfill per letter.">
		294	+ <select className="input" value={letter} onChange={(e) => setLetter(e.target.value)}>
		295	+ {"ABCDEFGHIJKLMNOPQRSTUVWXYZ0".split("").map((l) => (
		296	+ <option key={l} value={l}>
		297	+ {l}
		298	+ </option>
		299	+ ))}
		300	+ </select>
		301	+ </Field>
		302	+ )}
		303	+ {kind === "fundamentals" && (
		304	+ <Field label="Tickers" hint="Comma / newline separated. Leave empty to use the tracked list from Settings.">
		305	+ <textarea className="input min-h-20 font-mono uppercase" value={tickers} onChange={(e) => setTickers(e.target.value)} placeholder="AAPL, MSFT" />
		306	+ </Field>
		307	+ )}
		308	+ {(kind === "quality" || kind === "derive") && (
		309	+ <div className="grid grid-cols-2 gap-2">
		310	+ <Field label="Start">
		311	+ <input type="date" className="input" value={start} onChange={(e) => setStart(e.target.value)} />
		312	+ </Field>
		313	+ <Field label="End">
		314	+ <input type="date" className="input" value={end} onChange={(e) => setEnd(e.target.value)} />
		315	+ </Field>
		316	+ </div>
		317	+ )}
		318	+ <div className="grid grid-cols-2 gap-2">
		319	+ <Field label="Priority" hint="lower runs first (default 50)">
		320	+ <input type="number" className="input" min={1} max={100} value={priority} onChange={(e) => setPriority(Number(e.target.value) || 50)} />
		321	+ </Field>
		322	+ <Field label="Extra params (JSON)">
		323	+ <input className="input font-mono text-xs" value={extra} onChange={(e) => setExtra(e.target.value)} />
		324	+ </Field>
		325	+ </div>
		326	+ <div className="flex justify-end gap-2 pt-1">
		327	+ <button className="btn btn-primary" disabled={busy}>
		328	+ {busy ? "Enqueuing…" : kind === "backfill" ? "Review & enqueue" : "Enqueue"}
		329	+ </button>
		330	+ </div>
		331	+ <ConfirmDialog
		332	+ open={confirm}
		333	+ title={`Start backfill for tickers “${letter.toUpperCase()}…”?`}
		334	+ confirmLabel="Start backfill"
		335	+ danger
		336	+ busy={busy}
		337	+ onCancel={() => setConfirm(false)}
		338	+ onConfirm={() => void submit()}
		339	+ >
		340	+ <p>A backfill downloads the full 1-minute history for every ticker starting with <strong>{letter.toUpperCase()}</strong>. This can take hours and add tens of GB.</p>
		341	+ {lake && (
		342	+ <p className="mt-2 rounded-md border border-warn/50 bg-warn-soft p-2 text-xs text-warn-ink">
		343	+ Disk budget: <strong>{lake.free_gb} GB free</strong> · curated {lake.curated_gb} GB of a {lake.soft_limit_gb} GB soft limit · hard minimum {lake.hard_min_free_gb} GB free. The API refuses backfills under {(lake.hard_min_free_gb * 1.5).toFixed(0)} GB free.
		344	+ </p>
		345	+ )}
		346	+ </ConfirmDialog>
		347	+ </form>
		348	+ );
		349	+}
		350	+

added apps/web/src/app/keys/page.tsx +209 −0

				@@ -0,0 +1,209 @@
		1	+"use client";
		2	+import { useMemo, useState, type FormEvent } from "react";
		3	+import { KeyRound, Plus, Trash2 } from "lucide-react";
		4	+import { api, type ApiKey, type UsageRow } from "@/lib/api";
		5	+import { useAsync } from "@/lib/hooks";
		6	+import { useAuth } from "@/lib/auth";
		7	+import { useToast } from "@/lib/toast";
		8	+import { fmtBytes, fmtCompact, fmtInt, fmtRelative, fmtTs } from "@/lib/format";
		9	+import { Banner, Card, ErrorState, Field, PageHeader, StatusBadge } from "@/components/ui";
		10	+import { DataTable } from "@/components/DataTable";
		11	+import { ConfirmDialog, Modal } from "@/components/ConfirmDialog";
		12	+import { CopyButton } from "@/components/CopyButton";
		13	+
		14	+const SCOPES: { id: string; help: string }[] = [
		15	+ { id: "read:market", help: "bars, sessions, coverage, catalog, instruments" },
		16	+ { id: "read:fundamentals", help: "point-in-time fundamentals" },
		17	+ { id: "query", help: "SQL playground (DuckDB, read-only)" },
		18	+ { id: "export", help: "async Parquet/CSV exports" },
		19	+ { id: "admin", help: "jobs, keys, storage, settings — owner only" },
		20	+];
		21	+
		22	+export default function KeysPage() {
		23	+ const { isOwner } = useAuth();
		24	+ const toast = useToast();
		25	+ const { data, error, loading, reload } = useAsync((s) => api.get<{ data: ApiKey[]; usage: UsageRow[] }>("/admin/keys", undefined, s), [], { enabled: isOwner });
		26	+ const [create, setCreate] = useState(false);
		27	+ const [revoke, setRevoke] = useState<ApiKey | null>(null);
		28	+ const [busy, setBusy] = useState(false);
		29	+ const [token, setToken] = useState<{ token: string; name: string } | null>(null);
		30	+
		31	+ const usageByPrincipal = useMemo(() => {
		32	+ const m = new Map<string, { requests: number; rows: number; bytes: number; last: string }>();
		33	+ for (const u of data?.usage ?? []) {
		34	+ const e = m.get(u.principal) ?? { requests: 0, rows: 0, bytes: 0, last: u.day };
		35	+ e.requests += Number(u.requests);
		36	+ e.rows += Number(u.rows_returned);
		37	+ e.bytes += Number(u.bytes_exported);
		38	+ if (u.day > e.last) e.last = u.day;
		39	+ m.set(u.principal, e);
		40	+ }
		41	+ return m;
		42	+ }, [data]);
		43	+
		44	+ if (!isOwner) return <Banner tone="warn">API keys are managed by the owner.</Banner>;
		45	+
		46	+ async function doRevoke() {
		47	+ if (!revoke) return;
		48	+ setBusy(true);
		49	+ try {
		50	+ await api.del(`/admin/keys/${revoke.id}`);
		51	+ toast.success("Key revoked", revoke.name);
		52	+ setRevoke(null);
		53	+ reload();
		54	+ } catch (e) {
		55	+ toast.error(e);
		56	+ } finally {
		57	+ setBusy(false);
		58	+ }
		59	+ }
		60	+
		61	+ return (
		62	+ <>
		63	+ <PageHeader
		64	+ title="API keys"
		65	+ subtitle="Bearer tokens for the SDK and scripts. Usage is aggregated per day (last 14 days)."
		66	+ actions={
		67	+ <button className="btn btn-sm btn-primary" onClick={() => setCreate(true)}>
		68	+ <Plus className="h-3.5 w-3.5" /> New key
		69	+ </button>
		70	+ }
		71	+ />
		72	+ {error && <ErrorState error={error} retry={reload} />}
		73	+ <Card>
		74	+ <DataTable
		75	+ rows={data?.data}
		76	+ loading={loading}
		77	+ rowKey={(k) => k.id}
		78	+ mobile="cards"
		79	+ columns={[
		80	+ { key: "name", header: "Name", render: (k) => (<div><div className="font-medium">{k.name}</div><div className="font-mono text-[11px] text-ink-3">{k.prefix}…</div></div>) },
		81	+ { key: "scopes", header: "Scopes", render: (k) => <div className="flex flex-wrap gap-1">{k.scopes.map((s) => <span key={s} className="pill bg-surface-2 text-ink-2">{s}</span>)}</div> },
		82	+ { key: "rate_limit_per_minute", header: "Rate/min", num: true, hideSm: true, render: (k) => fmtInt(k.rate_limit_per_minute) },
		83	+ { key: "last_used_at", header: "Last used", render: (k) => <span className="tnum text-xs" title={fmtTs(k.last_used_at)}>{k.last_used_at ? fmtRelative(k.last_used_at) : "never"}</span> },
		84	+ {
		85	+ key: "usage",
		86	+ header: "Usage (14 d)",
		87	+ render: (k) => {
		88	+ const u = usageByPrincipal.get(`key:${k.prefix}`) ?? usageByPrincipal.get(k.prefix) ?? usageByPrincipal.get(k.name);
		89	+ return u ? <span className="tnum text-xs">{fmtInt(u.requests)} req · {fmtCompact(u.rows)} rows · {fmtBytes(u.bytes)}</span> : <span className="text-ink-3">—</span>;
		90	+ },
		91	+ },
		92	+ { key: "expires_at", header: "Expires", hideSm: true, render: (k) => <span className="tnum text-xs">{k.expires_at ? fmtTs(k.expires_at) : "never"}</span> },
		93	+ { key: "status", header: "Status", render: (k) => <StatusBadge status={k.revoked_at ? "error" : k.expires_at && new Date(k.expires_at) < new Date() ? "expired" : "active"} label={k.revoked_at ? "revoked" : k.expires_at && new Date(k.expires_at) < new Date() ? "expired" : "active"} /> },
		94	+ { key: "actions", header: "", render: (k) => (!k.revoked_at ? (<button className="btn btn-sm" onClick={() => setRevoke(k)}><Trash2 className="h-3.5 w-3.5" /> Revoke</button>) : null) },
		95	+ ]}
		96	+ empty="No API keys yet."
		97	+ />
		98	+ </Card>
		99	+
		100	+ <Card title="Daily usage (all principals, 14 days)" className="mt-4">
		101	+ <DataTable
		102	+ rows={data?.usage}
		103	+ loading={loading}
		104	+ rowKey={(u) => `${u.principal}-${u.day}`}
		105	+ mobile="scroll"
		106	+ maxHeight="20rem"
		107	+ columns={[
		108	+ { key: "day", header: "Day", render: (u) => <span className="tnum">{u.day}</span> },
		109	+ { key: "principal", header: "Principal", mono: true },
		110	+ { key: "requests", header: "Requests", num: true, render: (u) => fmtInt(u.requests) },
		111	+ { key: "rows_returned", header: "Rows", num: true, render: (u) => fmtInt(u.rows_returned) },
		112	+ { key: "bytes_exported", header: "Exported", num: true, render: (u) => fmtBytes(u.bytes_exported) },
		113	+ ]}
		114	+ empty="No usage recorded."
		115	+ />
		116	+ </Card>
		117	+
		118	+ <Modal open={create} title="Create API key" onClose={() => setCreate(false)}>
		119	+ <CreateKeyForm
		120	+ onCreated={(t, name) => {
		121	+ setCreate(false);
		122	+ setToken({ token: t, name });
		123	+ reload();
		124	+ }}
		125	+ />
		126	+ </Modal>
		127	+
		128	+ <Modal open={!!token} title="Key created — copy it now" onClose={() => setToken(null)}>
		129	+ {token && (
		130	+ <div className="flex flex-col gap-3">
		131	+ <Banner tone="warn">This token is shown <strong>once</strong>. Store it in a password manager; the server keeps only a hash.</Banner>
		132	+ <div className="flex items-center gap-2 rounded-md border border-border bg-surface-2 p-2">
		133	+ <KeyRound className="h-4 w-4 shrink-0 text-ink-3" />
		134	+ <code className="flex-1 break-all text-xs">{token.token}</code>
		135	+ <CopyButton text={token.token} />
		136	+ </div>
		137	+ <pre className="overflow-auto rounded-md border border-hairline bg-surface-2 p-2 text-xs">{`export FINDATA_API_KEY="${token.token}"\ncurl -H "Authorization: Bearer $FINDATA_API_KEY" "${typeof window !== "undefined" ? window.location.origin : ""}/api/v1/health"`}</pre>
		138	+ <button className="btn btn-primary self-end" onClick={() => setToken(null)}>Done</button>
		139	+ </div>
		140	+ )}
		141	+ </Modal>
		142	+
		143	+ <ConfirmDialog open={!!revoke} title={`Revoke “${revoke?.name}”?`} confirmLabel="Revoke" danger busy={busy} onCancel={() => setRevoke(null)} onConfirm={() => void doRevoke()}>
		144	+ Every client using this key will start receiving 401 immediately. This cannot be undone.
		145	+ </ConfirmDialog>
		146	+ </>
		147	+ );
		148	+}
		149	+
		150	+function CreateKeyForm({ onCreated }: { onCreated: (token: string, name: string) => void }) {
		151	+ const toast = useToast();
		152	+ const [name, setName] = useState("");
		153	+ const [scopes, setScopes] = useState<string[]>(["read:market"]);
		154	+ const [rate, setRate] = useState(600);
		155	+ const [expires, setExpires] = useState("");
		156	+ const [busy, setBusy] = useState(false);
		157	+
		158	+ async function submit(e: FormEvent) {
		159	+ e.preventDefault();
		160	+ setBusy(true);
		161	+ try {
		162	+ const out = await api.post<{ id: string; token: string }>("/admin/keys", {
		163	+ name: name.trim(),
		164	+ scopes,
		165	+ rate_limit_per_minute: rate,
		166	+ expires_at: expires ? new Date(expires).toISOString() : null,
		167	+ });
		168	+ onCreated(out.token, name.trim());
		169	+ } catch (err) {
		170	+ toast.error(err);
		171	+ } finally {
		172	+ setBusy(false);
		173	+ }
		174	+ }
		175	+
		176	+ return (
		177	+ <form onSubmit={submit} className="flex flex-col gap-3">
		178	+ <Field label="Name">
		179	+ <input className="input" value={name} onChange={(e) => setName(e.target.value)} maxLength={60} required placeholder="research-laptop" autoFocus />
		180	+ </Field>
		181	+ <fieldset>
		182	+ <legend className="label">Scopes</legend>
		183	+ <div className="flex flex-col gap-1.5">
		184	+ {SCOPES.map((s) => (
		185	+ <label key={s.id} className="flex items-start gap-2 text-sm">
		186	+ <input type="checkbox" className="mt-0.5" checked={scopes.includes(s.id)} onChange={(e) => setScopes((cur) => (e.target.checked ? [...cur, s.id] : cur.filter((x) => x !== s.id)))} />
		187	+ <span>
		188	+ <code className="text-xs">{s.id}</code> <span className="text-xs text-ink-3">— {s.help}</span>
		189	+ </span>
		190	+ </label>
		191	+ ))}
		192	+ </div>
		193	+ </fieldset>
		194	+ <div className="grid grid-cols-2 gap-2">
		195	+ <Field label="Rate limit / minute">
		196	+ <input type="number" className="input" min={1} max={10000} value={rate} onChange={(e) => setRate(Number(e.target.value) || 600)} />
		197	+ </Field>
		198	+ <Field label="Expires (optional)">
		199	+ <input type="datetime-local" className="input" value={expires} onChange={(e) => setExpires(e.target.value)} />
		200	+ </Field>
		201	+ </div>
		202	+ <div className="flex justify-end pt-1">
		203	+ <button className="btn btn-primary" disabled={busy || !name.trim() || scopes.length === 0}>
		204	+ {busy ? "Creating…" : "Create key"}
		205	+ </button>
		206	+ </div>
		207	+ </form>
		208	+ );
		209	+}

added apps/web/src/app/layout.tsx +32 −0

				@@ -0,0 +1,32 @@
		1	+import type { Metadata, Viewport } from "next";
		2	+import "./globals.css";
		3	+import { Providers } from "@/components/Providers";
		4	+import { Shell } from "@/components/Shell";
		5	+
		6	+export const metadata: Metadata = {
		7	+ title: { default: "FinData OS", template: "%s · FinData OS" },
		8	+ description: "FinData OS — private financial data lakehouse console",
		9	+ robots: { index: false, follow: false },
		10	+ icons: { icon: "/favicon.svg" },
		11	+};
		12	+
		13	+export const viewport: Viewport = {
		14	+ width: "device-width",
		15	+ initialScale: 1,
		16	+ themeColor: [
		17	+ { media: "(prefers-color-scheme: light)", color: "#f4f4f1" },
		18	+ { media: "(prefers-color-scheme: dark)", color: "#0d0d0d" },
		19	+ ],
		20	+};
		21	+
		22	+export default function RootLayout({ children }: { children: React.ReactNode }) {
		23	+ return (
		24	+ <html lang="en" suppressHydrationWarning>
		25	+ <body>
		26	+ <Providers>
		27	+ <Shell>{children}</Shell>
		28	+ </Providers>
		29	+ </body>
		30	+ </html>
		31	+ );
		32	+}

added apps/web/src/app/login/page.tsx +170 −0

				@@ -0,0 +1,170 @@
		1	+"use client";
		2	+import { useEffect, useState, type FormEvent } from "react";
		3	+import { useRouter } from "next/navigation";
		4	+import { KeyRound, LockKeyhole } from "lucide-react";
		5	+import { api, isApiError, setCsrf, type LoginOut } from "@/lib/api";
		6	+import { useAuth } from "@/lib/auth";
		7	+
		8	+export default function LoginPage() {
		9	+ const { me, loading, refresh } = useAuth();
		10	+ const router = useRouter();
		11	+ const [email, setEmail] = useState("");
		12	+ const [password, setPassword] = useState("");
		13	+ const [code, setCode] = useState("");
		14	+ const [step, setStep] = useState<"password" | "mfa">("password");
		15	+ const [busy, setBusy] = useState(false);
		16	+ const [error, setError] = useState<string | null>(null);
		17	+
		18	+ // Session exists but MFA not passed → go straight to the code step.
		19	+ useEffect(() => {
		20	+ if (!loading && me && !me.mfa_passed) setStep("mfa");
		21	+ }, [loading, me]);
		22	+
		23	+ async function submitPassword(e: FormEvent) {
		24	+ e.preventDefault();
		25	+ setBusy(true);
		26	+ setError(null);
		27	+ try {
		28	+ const out = await api.post<LoginOut>("/auth/login", { email: email.trim(), password });
		29	+ setCsrf(out.csrf_token);
		30	+ if (out.mfa_required) {
		31	+ setStep("mfa");
		32	+ setPassword("");
		33	+ } else {
		34	+ await refresh();
		35	+ router.replace("/");
		36	+ }
		37	+ } catch (err) {
		38	+ setError(describe(err));
		39	+ } finally {
		40	+ setBusy(false);
		41	+ }
		42	+ }
		43	+
		44	+ async function submitCode(e: FormEvent) {
		45	+ e.preventDefault();
		46	+ setBusy(true);
		47	+ setError(null);
		48	+ try {
		49	+ const out = await api.post<{ ok: boolean; csrf_token: string }>("/auth/mfa", { code: code.replace(/\s+/g, "") });
		50	+ setCsrf(out.csrf_token);
		51	+ await refresh();
		52	+ router.replace("/");
		53	+ } catch (err) {
		54	+ setError(describe(err));
		55	+ setCode("");
		56	+ } finally {
		57	+ setBusy(false);
		58	+ }
		59	+ }
		60	+
		61	+ return (
		62	+ <div className="flex min-h-dvh items-center justify-center bg-surface-0 p-4">
		63	+ <div className="w-full max-w-sm">
		64	+ <div className="mb-6 flex items-center gap-3">
		65	+ <svg viewBox="0 0 32 32" className="h-9 w-9" aria-hidden>
		66	+ <rect width="32" height="32" rx="7" fill="var(--accent)" />
		67	+ <path d="M8 22V10h4v12zm6 0V14h4v8zm6 0v-5h4v5z" fill="#fff" />
		68	+ </svg>
		69	+ <div>
		70	+ <div className="text-lg font-semibold tracking-tight">FinData OS</div>
		71	+ <div className="text-xs text-ink-2">Private console — authorised users only</div>
		72	+ </div>
		73	+ </div>
		74	+
		75	+ <div className="card">
		76	+ {step === "password" ? (
		77	+ <form onSubmit={submitPassword} className="flex flex-col gap-3" aria-busy={busy}>
		78	+ <h1 className="flex items-center gap-2 text-base font-semibold">
		79	+ <LockKeyhole className="h-4 w-4 text-ink-2" /> Sign in
		80	+ </h1>
		81	+ <label className="block">
		82	+ <span className="label">E-mail</span>
		83	+ <input className="input" type="email" autoComplete="username" required value={email} onChange={(e) => setEmail(e.target.value)} autoFocus />
		84	+ </label>
		85	+ <label className="block">
		86	+ <span className="label">Password</span>
		87	+ <input className="input" type="password" autoComplete="current-password" required value={password} onChange={(e) => setPassword(e.target.value)} />
		88	+ </label>
		89	+ {error && (
		90	+ <p role="alert" className="banner border-crit/60 bg-crit-soft text-crit-ink">
		91	+ {error}
		92	+ </p>
		93	+ )}
		94	+ <button className="btn btn-primary mt-1" disabled={busy || !email || !password}>
		95	+ {busy ? "Signing in…" : "Continue"}
		96	+ </button>
		97	+ </form>
		98	+ ) : (
		99	+ <form onSubmit={submitCode} className="flex flex-col gap-3" aria-busy={busy}>
		100	+ <h1 className="flex items-center gap-2 text-base font-semibold">
		101	+ <KeyRound className="h-4 w-4 text-ink-2" /> Two-factor code
		102	+ </h1>
		103	+ <p className="text-sm text-ink-2">Enter the 6-digit code from your authenticator app{me?.email ? ` for ${me.email}` : ""}.</p>
		104	+ <label className="block">
		105	+ <span className="label">One-time code</span>
		106	+ <input
		107	+ className="input text-center font-mono text-lg tracking-[0.4em]"
		108	+ inputMode="numeric"
		109	+ autoComplete="one-time-code"
		110	+ pattern="[0-9 ]{6,8}"
		111	+ required
		112	+ autoFocus
		113	+ value={code}
		114	+ onChange={(e) => setCode(e.target.value)}
		115	+ />
		116	+ </label>
		117	+ {error && (
		118	+ <p role="alert" className="banner border-crit/60 bg-crit-soft text-crit-ink">
		119	+ {error}
		120	+ </p>
		121	+ )}
		122	+ <button className="btn btn-primary mt-1" disabled={busy || code.replace(/\s+/g, "").length < 6}>
		123	+ {busy ? "Verifying…" : "Verify"}
		124	+ </button>
		125	+ <button
		126	+ type="button"
		127	+ className="btn btn-ghost btn-sm self-center"
		128	+ onClick={async () => {
		129	+ try {
		130	+ await api.post("/auth/logout");
		131	+ } catch {
		132	+ /* ignore */
		133	+ }
		134	+ setCsrf(null);
		135	+ await refresh();
		136	+ setStep("password");
		137	+ setError(null);
		138	+ }}
		139	+ >
		140	+ Use a different account
		141	+ </button>
		142	+ </form>
		143	+ )}
		144	+ </div>
		145	+ <p className="mt-4 text-center text-[11px] text-ink-3">Sessions use an HttpOnly cookie; every change is CSRF-protected and recorded in the audit log.</p>
		146	+ </div>
		147	+ </div>
		148	+ );
		149	+}
		150	+
		151	+function describe(err: unknown): string {
		152	+ if (isApiError(err)) {
		153	+ switch (err.code) {
		154	+ case "invalid_credentials":
		155	+ return "Invalid e-mail or password.";
		156	+ case "invalid_code":
		157	+ return "That code did not match. Codes rotate every 30 seconds — check your device clock and try again.";
		158	+ case "rate_limited":
		159	+ return "Too many attempts. Wait a minute and try again.";
		160	+ case "csrf":
		161	+ return "Session token mismatch. Reload the page and sign in again.";
		162	+ case "unauthenticated":
		163	+ return "Your session expired. Sign in again.";
		164	+ default:
		165	+ return `${err.message} (${err.code}${err.request_id ? `, request ${err.request_id}` : ""})`;
		166	+ }
		167	+ }
		168	+ if (err instanceof TypeError) return "Cannot reach the API. Is the server running?";
		169	+ return err instanceof Error ? err.message : "Unexpected error";
		170	+}

added apps/web/src/app/page.tsx +156 −0

				@@ -0,0 +1,156 @@
		1	+"use client";
		2	+import Link from "next/link";
		3	+import { RefreshCw } from "lucide-react";
		4	+import { api, type HealthSummary } from "@/lib/api";
		5	+import { useAsync, useInterval } from "@/lib/hooks";
		6	+import { fmtCompact, fmtGB, fmtInt, fmtRelative, fmtTs } from "@/lib/format";
		7	+import { Banner, Card, ErrorState, KpiTile, PageHeader, SeverityBadge, Skeleton, StatusBadge } from "@/components/ui";
		8	+import { DataTable } from "@/components/DataTable";
		9	+import { Job } from "@/lib/api";
		10	+import { useAuth } from "@/lib/auth";
		11	+
		12	+export default function OverviewPage() {
		13	+ const { isOwner } = useAuth();
		14	+ const { data, error, loading, reload } = useAsync((signal) => api.get<HealthSummary>("/health/summary", undefined, signal), []);
		15	+ useInterval(reload, 60_000);
		16	+
		17	+ const h = data?.health;
		18	+ const lake = h?.components.lake;
		19	+ const jobs = data?.jobs ?? {};
		20	+ const anomalies = data?.anomalies_7d ?? {};
		21	+ const anomaliesTotal = Object.values(anomalies).reduce((a, b) => a + b, 0);
		22	+ const primaryDs = h?.datasets?.find((d) => d.dataset_id === "market_bars.stock.1m.raw") ?? h?.datasets?.[0];
		23	+ const dead = jobs.dead ?? 0;
		24	+ const freeTone = lake ? (lake.free_gb < lake.hard_min_free_gb ? "crit" : lake.free_gb < lake.hard_min_free_gb * 2 ? "warn" : undefined) : undefined;
		25	+
		26	+ return (
		27	+ <>
		28	+ <PageHeader
		29	+ title="Overview"
		30	+ subtitle={h ? <>Health checked {fmtRelative(h.checked_at)} · auto-refresh every 60 s</> : "Lakehouse status at a glance"}
		31	+ actions={
		32	+ <>
		33	+ {h && <StatusBadge status={h.status} label={h.status === "ok" ? "all systems ok" : h.status} />}
		34	+ <button className="btn btn-sm" onClick={reload} disabled={loading}>
		35	+ <RefreshCw className={loading ? "h-3.5 w-3.5 animate-spin" : "h-3.5 w-3.5"} /> Refresh
		36	+ </button>
		37	+ </>
		38	+ }
		39	+ />
		40	+
		41	+ <Banner tone="warn" className="mb-4">
		42	+ <strong>FirstRate Data — private use only.</strong> Raw bars and tables may not be redistributed (no public API, CSV or tables). Derived results may be published with attribution.
		43	+ </Banner>
		44	+
		45	+ {error && <ErrorState error={error} retry={reload} />}
		46	+ {!data && !error && <Skeleton rows={6} />}
		47	+
		48	+ {data && (
		49	+ <>
		50	+ {h && h.alerts.length > 0 && (
		51	+ <Card title={`Alerts (${h.alerts.length})`} className="mb-4">
		52	+ <ul className="flex flex-col gap-1.5">
		53	+ {h.alerts.map((a, i) => (
		54	+ <li key={i} className="flex flex-wrap items-center gap-2 text-sm">
		55	+ <SeverityBadge severity={a.severity} />
		56	+ <code className="text-xs text-ink-3">{a.code}</code>
		57	+ <span>{a.message}</span>
		58	+ </li>
		59	+ ))}
		60	+ </ul>
		61	+ </Card>
		62	+ )}
		63	+
		64	+ <div className="mb-4 grid grid-cols-2 gap-3 md:grid-cols-3 xl:grid-cols-5">
		65	+ <KpiTile label="1-min symbols" value={fmtInt(data.bars_1m.symbols)} sub={`${fmtInt(data.instruments.active)} active instruments`} href="/symbols/" />
		66	+ <KpiTile label="Sessions" value={fmtInt(data.bars_1m.sessions)} sub="with 1-min bars" href="/coverage/" />
		67	+ <KpiTile label="1-min bars" value={fmtCompact(data.bars_1m.bars)} sub={data.bars_1m.bars ? fmtInt(data.bars_1m.bars) : undefined} href="/bars/" />
		68	+ <KpiTile label="Last session" value={data.bars_1m.last ?? "—"} sub={primaryDs?.days_since_last_session !== null && primaryDs?.days_since_last_session !== undefined ? `${primaryDs.days_since_last_session} d ago` : undefined} />
		69	+ <KpiTile
		70	+ label="Vendor lag"
		71	+ value={primaryDs?.vendor_lag_days === null || primaryDs?.vendor_lag_days === undefined ? "—" : `${primaryDs.vendor_lag_days} d`}
		72	+ sub={primaryDs?.vendor_last_update ? `vendor ${primaryDs.vendor_last_update}` : "no vendor checkpoint"}
		73	+ tone={primaryDs?.vendor_lag_days ? "warn" : undefined}
		74	+ />
		75	+ <KpiTile
		76	+ label="Lake free"
		77	+ value={lake ? fmtGB(lake.free_gb, 0) : "—"}
		78	+ sub={lake ? `curated ${fmtGB(lake.curated_gb, 0)} / budget ${lake.soft_limit_gb} GB · min free ${lake.hard_min_free_gb} GB` : undefined}
		79	+ tone={freeTone}
		80	+ href={isOwner ? "/storage/" : undefined}
		81	+ />
		82	+ <KpiTile label="Jobs" value={`${fmtInt(jobs.queued ?? 0)} / ${fmtInt(jobs.running ?? 0)} / ${fmtInt(dead)}`} sub="queued / running / dead" tone={dead ? "crit" : undefined} href={isOwner ? "/ingestion/" : undefined} />
		83	+ <KpiTile label="Fundamentals" value={fmtInt(data.fundamentals.entities)} sub={`${fmtCompact(data.fundamentals.facts)} facts`} href="/fundamentals/" />
		84	+ <KpiTile label="Anomalies (7 d)" value={fmtInt(anomaliesTotal)} sub={Object.entries(anomalies).map(([k, v]) => `${k} ${v}`).join(" · ") || "none"} tone={anomalies.error ? "crit" : anomaliesTotal ? "warn" : undefined} href="/quality/" />
		85	+ <KpiTile label="Datasets" value={fmtInt(data.datasets.active)} sub={`${data.datasets.planned} planned · ${data.datasets.pending} pending · ${data.datasets.unsupported} unsupported`} href="/datasets/" />
		86	+ </div>
		87	+
		88	+ <div className="grid gap-4 lg:grid-cols-[1fr_minmax(280px,0.6fr)]">
		89	+ <Card title="Recent jobs" actions={isOwner && <Link href="/ingestion/" className="text-xs text-accent-ink hover:underline">All jobs →</Link>}>
		90	+ <DataTable<Job>
		91	+ rows={data.recent_jobs}
		92	+ rowKey={(r) => r.id}
		93	+ mobile="scroll"
		94	+ columns={[
		95	+ { key: "kind", header: "Kind", render: (r) => <span className="font-medium">{r.kind}</span> },
		96	+ { key: "dataset_id", header: "Dataset", mono: true, hideSm: true },
		97	+ { key: "status", header: "Status", render: (r) => <StatusBadge status={r.status} /> },
		98	+ { key: "started_at", header: "Started", render: (r) => <span className="tnum text-xs">{fmtTs(r.started_at)}</span>, hideSm: true },
		99	+ { key: "finished_at", header: "Finished", render: (r) => <span className="tnum text-xs">{fmtTs(r.finished_at)}</span>, hideSm: true },
		100	+ { key: "last_error", header: "Error", render: (r) => (r.last_error ? <span className="text-xs text-crit-ink break-words">{r.last_error}</span> : <span className="text-ink-3">—</span>) },
		101	+ ]}
		102	+ />
		103	+ </Card>
		104	+ <Card title="Components">
		105	+ <ul className="flex flex-col gap-2 text-sm">
		106	+ <li className="flex items-center justify-between gap-2">
		107	+ <span>Postgres</span>
		108	+ <StatusBadge status={h?.components.postgres?.startsWith("error") ? "error" : h?.components.postgres} label={h?.components.postgres} />
		109	+ </li>
		110	+ <li className="flex items-center justify-between gap-2">
		111	+ <span>Ingest worker</span>
		112	+ <StatusBadge status={h?.components.ingest_worker === "running" ? "ok" : "error"} label={h?.components.ingest_worker ?? "unknown"} />
		113	+ </li>
		114	+ <li className="flex items-center justify-between gap-2">
		115	+ <span>Backup</span>
		116	+ <span className="text-right text-xs">
		117	+ {h?.components.backup?.last ? (
		118	+ <>
		119	+ <StatusBadge status={h.components.backup.verified ? "verified" : "warning"} label={h.components.backup.verified ? "verified" : "unverified"} />{" "}
		120	+ <span className="text-ink-2">{fmtRelative(h.components.backup.last)}</span>
		121	+ </>
		122	+ ) : (
		123	+ <StatusBadge status="warning" label="none yet" />
		124	+ )}
		125	+ </span>
		126	+ </li>
		127	+ <li className="flex items-center justify-between gap-2">
		128	+ <span>SSD SMART</span>
		129	+ <StatusBadge status={h?.components.ssd_smart === "Verified" ? "ok" : h?.components.ssd_smart === "unavailable" || h?.components.ssd_smart === "Not Supported" ? "neutral" : "error"} label={h?.components.ssd_smart ?? "unknown"} />
		130	+ </li>
		131	+ </ul>
		132	+ {h?.datasets && h.datasets.length > 0 && (
		133	+ <div className="mt-4">
		134	+ <div className="mb-1 text-xs font-semibold text-ink-2">Dataset freshness</div>
		135	+ <ul className="flex flex-col gap-1 text-xs">
		136	+ {h.datasets.map((d) => (
		137	+ <li key={d.dataset_id} className="flex flex-wrap items-center justify-between gap-1">
		138	+ <Link href={`/datasets/detail/?id=${encodeURIComponent(d.dataset_id)}`} className="font-mono text-accent-ink hover:underline">
		139	+ {d.dataset_id}
		140	+ </Link>
		141	+ <span className="tnum text-ink-2">
		142	+ v{d.version ?? "—"} · {d.last_session ?? "no sessions"}
		143	+ {d.vendor_lag_days ? <span className="ml-1 text-warn-ink">· lag {d.vendor_lag_days} d</span> : null}
		144	+ </span>
		145	+ </li>
		146	+ ))}
		147	+ </ul>
		148	+ </div>
		149	+ )}
		150	+ </Card>
		151	+ </div>
		152	+ </>
		153	+ )}
		154	+ </>
		155	+ );
		156	+}

added apps/web/src/app/playground/page.tsx +183 −0

				@@ -0,0 +1,183 @@
		1	+"use client";
		2	+import { useEffect, useRef, useState, type KeyboardEvent } from "react";
		3	+import { Download, Play } from "lucide-react";
		4	+import clsx from "clsx";
		5	+import { api, type QueryOut } from "@/lib/api";
		6	+import { useAsync, useLocalStorage, useQueryParam } from "@/lib/hooks";
		7	+import { useToast } from "@/lib/toast";
		8	+import { downloadText, fmtInt, toCsv } from "@/lib/format";
		9	+import { Banner, Card, Empty, ErrorState, PageHeader } from "@/components/ui";
		10	+
		11	+const DISPLAY_CAP = 1000;
		12	+
		13	+export default function PlaygroundPage() {
		14	+ const qSymbol = useQueryParam("symbol");
		15	+ const [sql, setSql] = useLocalStorage("findata.playground.sql", "SELECT symbol_as_reported, count(*) bars FROM market_bars_stock_1m_raw GROUP BY 1 ORDER BY 2 DESC LIMIT 20");
		16	+ const [maxRows, setMaxRows] = useState(1000);
		17	+ const [out, setOut] = useState<QueryOut | null>(null);
		18	+ const [busy, setBusy] = useState(false);
		19	+ const [error, setError] = useState<unknown>(null);
		20	+ const toast = useToast();
		21	+ const ta = useRef<HTMLTextAreaElement>(null);
		22	+ const views = useAsync((s) => api.get<{ views: { name: string; files: number }[]; examples: string[] }>("/query/views", undefined, s), []);
		23	+
		24	+ useEffect(() => {
		25	+ if (qSymbol) setSql(`SELECT session_date, min(low) lo, max(high) hi, sum(volume) vol\nFROM market_bars_stock_1m_raw\nWHERE symbol_as_reported = '${qSymbol.toUpperCase().replace(/'/g, "")}'\nGROUP BY 1 ORDER BY 1 DESC LIMIT 100`);
		26	+ // eslint-disable-next-line react-hooks/exhaustive-deps
		27	+ }, [qSymbol]);
		28	+
		29	+ async function run() {
		30	+ if (!sql.trim()) return;
		31	+ setBusy(true);
		32	+ setError(null);
		33	+ try {
		34	+ const o = await api.post<QueryOut>("/query", { sql, max_rows: maxRows });
		35	+ setOut(o);
		36	+ } catch (e) {
		37	+ setError(e);
		38	+ setOut(null);
		39	+ } finally {
		40	+ setBusy(false);
		41	+ }
		42	+ }
		43	+
		44	+ function onKey(e: KeyboardEvent<HTMLTextAreaElement>) {
		45	+ if ((e.metaKey || e.ctrlKey) && e.key === "Enter") {
		46	+ e.preventDefault();
		47	+ void run();
		48	+ }
		49	+ if (e.key === "Tab") {
		50	+ e.preventDefault();
		51	+ const el = e.currentTarget;
		52	+ const s = el.selectionStart, en = el.selectionEnd;
		53	+ const next = sql.slice(0, s) + " " + sql.slice(en);
		54	+ setSql(next);
		55	+ requestAnimationFrame(() => el.setSelectionRange(s + 2, s + 2));
		56	+ }
		57	+ }
		58	+
		59	+ const shown = out ? out.rows.slice(0, DISPLAY_CAP) : [];
		60	+
		61	+ return (
		62	+ <>
		63	+ <PageHeader title="SQL playground" subtitle="DuckDB over the curated Parquet files — read-only, one statement, sandboxed. Results are logged to the audit trail." />
		64	+ <div className="grid gap-4 lg:grid-cols-[minmax(0,1fr)_280px]">
		65	+ <div className="flex flex-col gap-4">
		66	+ <Card>
		67	+ <textarea
		68	+ ref={ta}
		69	+ className="input min-h-40 resize-y font-mono text-[13px] leading-relaxed"
		70	+ spellCheck={false}
		71	+ value={sql}
		72	+ onChange={(e) => setSql(e.target.value)}
		73	+ onKeyDown={onKey}
		74	+ aria-label="SQL"
		75	+ />
		76	+ <div className="mt-2 flex flex-wrap items-center gap-2">
		77	+ <button className="btn btn-primary" onClick={() => void run()} disabled={busy || !sql.trim()}>
		78	+ <Play className="h-3.5 w-3.5" /> {busy ? "Running…" : "Run"}
		79	+ </button>
		80	+ <span className="text-xs text-ink-3">
		81	+ <kbd className="kbd">⌘</kbd>/<kbd className="kbd">Ctrl</kbd> + <kbd className="kbd">Enter</kbd>
		82	+ </span>
		83	+ <label className="ml-auto flex items-center gap-2 text-xs text-ink-2">
		84	+ max rows
		85	+ <input type="number" className="input w-24 py-1" min={1} max={100000} value={maxRows} onChange={(e) => setMaxRows(Math.max(1, Math.min(100000, Number(e.target.value) || 1000)))} />
		86	+ </label>
		87	+ </div>
		88	+ </Card>
		89	+
		90	+ {error && <ErrorState error={error} retry={() => void run()} />}
		91	+
		92	+ {out && (
		93	+ <Card
		94	+ title={
		95	+ <span className="flex flex-wrap items-center gap-2 text-sm">
		96	+ Results
		97	+ <span className="pill bg-surface-2 text-ink-2 tnum">{fmtInt(out.meta.rows)} rows</span>
		98	+ <span className="pill bg-surface-2 text-ink-2 tnum">{fmtInt(out.meta.elapsed_ms)} ms</span>
		99	+ {out.meta.truncated && <span className="pill bg-warn-soft text-warn-ink">truncated at max_rows</span>}
		100	+ {out.rows.length > DISPLAY_CAP && <span className="pill bg-warn-soft text-warn-ink">showing first {fmtInt(DISPLAY_CAP)}</span>}
		101	+ </span>
		102	+ }
		103	+ actions={
		104	+ <button className="btn btn-sm" onClick={() => downloadText(`query-${Date.now()}.csv`, toCsv(out.columns.map((c) => c.name), out.rows))} disabled={!out.rows.length}>
		105	+ <Download className="h-3.5 w-3.5" /> CSV ({fmtInt(out.rows.length)} rows)
		106	+ </button>
		107	+ }
		108	+ >
		109	+ {out.rows.length === 0 ? (
		110	+ <Empty>Query returned no rows.</Empty>
		111	+ ) : (
		112	+ <div className="table-wrap" style={{ maxHeight: "60dvh", overflowY: "auto" }}>
		113	+ <table className="table">
		114	+ <thead>
		115	+ <tr>
		116	+ {out.columns.map((c) => (
		117	+ <th key={c.name}>
		118	+ {c.name}
		119	+ <div className="font-normal text-[10px] text-ink-3">{c.type}</div>
		120	+ </th>
		121	+ ))}
		122	+ </tr>
		123	+ </thead>
		124	+ <tbody>
		125	+ {shown.map((r, i) => (
		126	+ <tr key={i}>
		127	+ {out.columns.map((c) => {
		128	+ const v = r[c.name];
		129	+ const isNum = typeof v === "number";
		130	+ return (
		131	+ <td key={c.name} className={clsx("font-mono text-xs whitespace-nowrap", isNum && "num")}>
		132	+ {v === null || v === undefined ? <span className="text-ink-3">NULL</span> : typeof v === "object" ? JSON.stringify(v) : String(v)}
		133	+ </td>
		134	+ );
		135	+ })}
		136	+ </tr>
		137	+ ))}
		138	+ </tbody>
		139	+ </table>
		140	+ </div>
		141	+ )}
		142	+ <div className="mt-2 text-[11px] text-ink-3">engine: {out.meta.engine}</div>
		143	+ </Card>
		144	+ )}
		145	+ </div>
		146	+
		147	+ <div className="flex flex-col gap-4">
		148	+ <Card title="Views">
		149	+ {views.error && <ErrorState error={views.error} retry={views.reload} />}
		150	+ {views.data && views.data.views.length === 0 && <Empty>No views (no curated files yet).</Empty>}
		151	+ <ul className="flex flex-col gap-1 text-xs">
		152	+ {views.data?.views.map((v) => (
		153	+ <li key={v.name} className="flex items-center justify-between gap-2">
		154	+ <button className="font-mono text-accent-ink hover:underline text-left break-all" onClick={() => setSql(`SELECT * FROM ${v.name} LIMIT 100`)} title="Insert SELECT">
		155	+ {v.name}
		156	+ </button>
		157	+ <span className="tnum text-ink-3 whitespace-nowrap">{fmtInt(v.files)} files</span>
		158	+ </li>
		159	+ ))}
		160	+ </ul>
		161	+ </Card>
		162	+ <Card title="Examples">
		163	+ <ul className="flex flex-col gap-2">
		164	+ {views.data?.examples.map((ex, i) => (
		165	+ <li key={i}>
		166	+ <button className="w-full rounded-md border border-hairline bg-surface-2 p-2 text-left font-mono text-[11px] leading-snug text-ink-2 hover:border-accent/60 whitespace-pre-wrap break-words" onClick={() => setSql(ex)}>
		167	+ {ex}
		168	+ </button>
		169	+ </li>
		170	+ ))}
		171	+ </ul>
		172	+ </Card>
		173	+ <Banner tone="accent">
		174	+ <div className="text-xs">
		175	+ Bars are stamped at <strong>bar open</strong> in UTC. Columns: <code>timestamp_utc, session_date, open, high, low, close, volume, vwap, trade_count, quality_flags, symbol_as_reported, instrument_id</code>. Stored data is <strong>raw</strong>; adjustments live in <code>corporate_actions</code>.
		176	+ </div>
		177	+ </Banner>
		178	+ <p className="text-[11px] text-ink-3" onClick={() => toast.info("Query results are private", "FirstRate Data terms forbid redistribution of raw bars.")}>License: frd-private — no redistribution of raw bars.</p>
		179	+ </div>
		180	+ </div>
		181	+ </>
		182	+ );
		183	+}

added apps/web/src/app/quality/page.tsx +148 −0

				@@ -0,0 +1,148 @@
		1	+"use client";
		2	+import Link from "next/link";
		3	+import { useEffect, useState } from "react";
		4	+import { api, type Anomaly, type Dataset, type QualityOut } from "@/lib/api";
		5	+import { useAsync, useDebounced, useQueryParam } from "@/lib/hooks";
		6	+import { fmtInt, fmtTs } from "@/lib/format";
		7	+import { Card, Empty, ErrorState, Field, PageHeader, SeverityBadge, Skeleton, KV } from "@/components/ui";
		8	+import { DataTable } from "@/components/DataTable";
		9	+import { JsonView } from "@/components/JsonView";
		10	+import { CategoryBars } from "@/components/charts";
		11	+
		12	+const DEFAULT_DS = "market_bars.stock.1m.raw";
		13	+
		14	+export default function QualityPage() {
		15	+ const qDs = useQueryParam("dataset_id");
		16	+ const [datasetId, setDatasetId] = useState(DEFAULT_DS);
		17	+ const [code, setCode] = useState("");
		18	+ const [severity, setSeverity] = useState("");
		19	+ const [symbol, setSymbol] = useState("");
		20	+ const dsym = useDebounced(symbol.trim().toUpperCase(), 300);
		21	+ useEffect(() => {
		22	+ if (qDs) setDatasetId(qDs);
		23	+ }, [qDs]);
		24	+
		25	+ const datasets = useAsync((s) => api.get<{ data: Dataset[] }>("/catalog/datasets", undefined, s), []);
		26	+ const q = useAsync((s) => api.get<QualityOut>("/quality", { dataset_id: datasetId }, s), [datasetId]);
		27	+ const an = useAsync((s) => api.get<{ data: Anomaly[] }>("/quality/anomalies", { dataset_id: datasetId, code, severity, symbol: dsym, limit: 500 }, s), [datasetId, code, severity, dsym]);
		28	+
		29	+ const latest = q.data?.latest;
		30	+ const byCode = (q.data?.anomalies_by_code_30d ?? []).map((r) => ({ name: r.code, value: Number(r.n) }));
		31	+
		32	+ return (
		33	+ <>
		34	+ <PageHeader
		35	+ title="Quality"
		36	+ subtitle="Validation reports and anomalies recorded at ingestion"
		37	+ actions={
		38	+ <Field label="Dataset" className="w-72">
		39	+ <select className="input font-mono text-xs" value={datasetId} onChange={(e) => setDatasetId(e.target.value)}>
		40	+ {!(datasets.data?.data ?? []).some((d) => d.id === datasetId) && <option value={datasetId}>{datasetId}</option>}
		41	+ {(datasets.data?.data ?? []).filter((d) => d.status === "active").map((d) => (
		42	+ <option key={d.id} value={d.id}>
		43	+ {d.id}
		44	+ </option>
		45	+ ))}
		46	+ </select>
		47	+ </Field>
		48	+ }
		49	+ />
		50	+ {q.error && <ErrorState error={q.error} retry={q.reload} />}
		51	+ <div className="grid gap-4 lg:grid-cols-[minmax(0,0.9fr)_minmax(0,1.1fr)]">
		52	+ <Card title="Latest report">
		53	+ {q.loading && !q.data ? (
		54	+ <Skeleton rows={5} />
		55	+ ) : latest ? (
		56	+ <>
		57	+ <KV
		58	+ items={[
		59	+ ["Report id", <code key="id" className="text-xs">{String(latest.id ?? "—")}</code>],
		60	+ ["Created", fmtTs(latest.created_at as string)],
		61	+ ["Rows checked", fmtInt(latest.rows_checked as number)],
		62	+ ["Anomalies", fmtInt(latest.anomalies as number)],
		63	+ ]}
		64	+ />
		65	+ <div className="mt-3 text-xs text-ink-3">summary</div>
		66	+ <JsonView value={latest.summary ?? {}} maxHeight="16rem" />
		67	+ </>
		68	+ ) : (
		69	+ <Empty>No quality report yet for this dataset — enqueue a <code>quality</code> job from Ingestion.</Empty>
		70	+ )}
		71	+ </Card>
		72	+ <Card title="Anomalies by code (30 days)">
		73	+ {byCode.length ? <CategoryBars data={byCode} /> : <Empty>No anomalies in the last 30 days.</Empty>}
		74	+ <ul className="mt-3 grid gap-1 text-xs sm:grid-cols-2">
		75	+ {Object.entries(q.data?.codes ?? {}).map(([c, d]) => (
		76	+ <li key={c} className="flex gap-2">
		77	+ <button className={`font-mono shrink-0 ${code === c ? "text-accent-ink underline" : "text-ink-1 hover:underline"}`} onClick={() => setCode(code === c ? "" : c)}>
		78	+ {c}
		79	+ </button>
		80	+ <span className="text-ink-3">{d}</span>
		81	+ </li>
		82	+ ))}
		83	+ </ul>
		84	+ </Card>
		85	+ </div>
		86	+
		87	+ <Card title={`Reports (${q.data?.reports.length ?? 0})`} className="mt-4">
		88	+ <DataTable
		89	+ rows={q.data?.reports}
		90	+ loading={q.loading}
		91	+ rowKey={(r) => r.id}
		92	+ mobile="scroll"
		93	+ maxHeight="18rem"
		94	+ columns={[
		95	+ { key: "created_at", header: "Created", render: (r) => <span className="tnum text-xs">{fmtTs(r.created_at)}</span> },
		96	+ { key: "rows_checked", header: "Rows checked", num: true, render: (r) => fmtInt(r.rows_checked) },
		97	+ { key: "anomalies", header: "Anomalies", num: true, render: (r) => fmtInt(r.anomalies) },
		98	+ { key: "summary", header: "Summary", render: (r) => <JsonView value={r.summary} collapsed /> },
		99	+ ]}
		100	+ empty="No reports."
		101	+ />
		102	+ </Card>
		103	+
		104	+ <Card
		105	+ title="Anomalies"
		106	+ className="mt-4"
		107	+ actions={
		108	+ <div className="flex flex-wrap gap-2">
		109	+ <input className="input w-28 py-1 font-mono text-xs uppercase" placeholder="symbol" value={symbol} onChange={(e) => setSymbol(e.target.value)} aria-label="Symbol" />
		110	+ <select className="input w-auto py-1 text-xs" value={severity} onChange={(e) => setSeverity(e.target.value)} aria-label="Severity">
		111	+ <option value="">any severity</option>
		112	+ <option value="info">info</option>
		113	+ <option value="warning">warning</option>
		114	+ <option value="error">error</option>
		115	+ </select>
		116	+ <select className="input w-auto py-1 font-mono text-xs" value={code} onChange={(e) => setCode(e.target.value)} aria-label="Code">
		117	+ <option value="">any code</option>
		118	+ {Object.keys(q.data?.codes ?? {}).map((c) => (
		119	+ <option key={c} value={c}>
		120	+ {c}
		121	+ </option>
		122	+ ))}
		123	+ </select>
		124	+ </div>
		125	+ }
		126	+ >
		127	+ {an.error && <ErrorState error={an.error} retry={an.reload} />}
		128	+ <DataTable
		129	+ rows={an.data?.data}
		130	+ loading={an.loading}
		131	+ rowKey={(r, i) => String(r.id ?? i)}
		132	+ mobile="scroll"
		133	+ maxHeight="60dvh"
		134	+ columns={[
		135	+ { key: "created_at", header: "Recorded", render: (r) => <span className="tnum text-xs">{fmtTs(r.created_at)}</span> },
		136	+ { key: "severity", header: "Severity", render: (r) => <SeverityBadge severity={r.severity} /> },
		137	+ { key: "code", header: "Code", mono: true },
		138	+ { key: "symbol", header: "Symbol", render: (r) => (r.symbol ? <Link href={`/symbols/detail/?symbol=${encodeURIComponent(r.symbol)}`} className="font-mono text-accent-ink hover:underline">{r.symbol}</Link> : "—") },
		139	+ { key: "session_date", header: "Session", hideSm: true, render: (r) => <span className="tnum">{r.session_date ?? "—"}</span> },
		140	+ { key: "detail", header: "Detail", render: (r) => <JsonView value={r.detail} collapsed /> },
		141	+ ]}
		142	+ empty="No anomalies match."
		143	+ footer={<span>{fmtInt(an.data?.data.length ?? 0)} rows (max 500)</span>}
		144	+ />
		145	+ </Card>
		146	+ </>
		147	+ );
		148	+}

added apps/web/src/app/storage/page.tsx +149 −0

				@@ -0,0 +1,149 @@
		1	+"use client";
		2	+import Link from "next/link";
		3	+import { useMemo } from "react";
		4	+import { RefreshCw } from "lucide-react";
		5	+import { api, type StorageOut } from "@/lib/api";
		6	+import { useAsync } from "@/lib/hooks";
		7	+import { useAuth } from "@/lib/auth";
		8	+import { fmtBytes, fmtCompact, fmtGB, fmtInt, fmtRelative, fmtTs } from "@/lib/format";
		9	+import { Banner, Card, Empty, ErrorState, KV, PageHeader, Skeleton, StatusBadge } from "@/components/ui";
		10	+import { DataTable } from "@/components/DataTable";
		11	+import { Meter, SegmentedBar } from "@/components/charts";
		12	+import { JsonView } from "@/components/JsonView";
		13	+
		14	+export default function StoragePage() {
		15	+ const { isOwner } = useAuth();
		16	+ const { data, error, loading, reload } = useAsync((s) => api.get<StorageOut>("/admin/storage", undefined, s), [], { enabled: isOwner });
		17	+
		18	+ const perDataset = useMemo(() => {
		19	+ const m = new Map<string, { dataset_id: string; base_files: number; base_bytes: number; base_rows: number; delta_files: number; delta_bytes: number; delta_rows: number; other_files: number; other_bytes: number }>();
		20	+ for (const r of data?.per_dataset ?? []) {
		21	+ const e = m.get(r.dataset_id) ?? { dataset_id: r.dataset_id, base_files: 0, base_bytes: 0, base_rows: 0, delta_files: 0, delta_bytes: 0, delta_rows: 0, other_files: 0, other_bytes: 0 };
		22	+ const b = Number(r.bytes ?? 0), rows = Number(r.rows ?? 0), f = Number(r.files ?? 0);
		23	+ if (r.layout === "base") { e.base_files += f; e.base_bytes += b; e.base_rows += rows; }
		24	+ else if (r.layout === "delta") { e.delta_files += f; e.delta_bytes += b; e.delta_rows += rows; }
		25	+ else { e.other_files += f; e.other_bytes += b; }
		26	+ m.set(r.dataset_id, e);
		27	+ }
		28	+ return Array.from(m.values()).sort((a, b) => b.base_bytes + b.delta_bytes - (a.base_bytes + a.delta_bytes));
		29	+ }, [data]);
		30	+
		31	+ if (!isOwner) return <Banner tone="warn">Storage details require the owner role.</Banner>;
		32	+
		33	+ const vol = data?.volume;
		34	+ const used = vol ? vol.total_gb - vol.free_gb : 0;
		35	+ const freeTone = vol && data ? (vol.free_gb < data.budget.hard_min_free_gb ? "crit" : vol.free_gb < data.budget.hard_min_free_gb * 2 ? "warn" : "accent") : "accent";
		36	+ const curatedGb = (data?.curated_bytes ?? 0) / 1e9;
		37	+ const bytesPerBar = useMemo(() => {
		38	+ const rows = perDataset.reduce((a, d) => a + d.base_rows + d.delta_rows, 0);
		39	+ const bytes = perDataset.reduce((a, d) => a + d.base_bytes + d.delta_bytes, 0);
		40	+ return rows > 0 ? bytes / rows : null;
		41	+ }, [perDataset]);
		42	+
		43	+ return (
		44	+ <>
		45	+ <PageHeader
		46	+ title="Storage"
		47	+ subtitle={data ? <>Lake root <code className="text-xs">{data.lake_root}</code></> : "Lake volume, budget and footprint"}
		48	+ actions={
		49	+ <button className="btn btn-sm" onClick={reload} disabled={loading}>
		50	+ <RefreshCw className={loading ? "h-3.5 w-3.5 animate-spin" : "h-3.5 w-3.5"} /> Refresh
		51	+ </button>
		52	+ }
		53	+ />
		54	+ {error && <ErrorState error={error} retry={reload} />}
		55	+ {loading && !data && <Skeleton rows={6} />}
		56	+ {data && vol && (
		57	+ <>
		58	+ <div className="grid gap-4 lg:grid-cols-2">
		59	+ <Card title="Volume">
		60	+ <div className="mb-1 flex items-baseline justify-between">
		61	+ <span className="text-2xl font-semibold">{fmtGB(vol.free_gb, 0)} free</span>
		62	+ <span className="text-xs text-ink-2">of {fmtGB(vol.total_gb, 0)}</span>
		63	+ </div>
		64	+ <Meter value={used} max={vol.total_gb} tone={freeTone} label="Volume used" marks={[{ at: vol.total_gb - data.budget.hard_min_free_gb, label: `min free ${data.budget.hard_min_free_gb} GB` }]} className="mb-8 mt-2" />
		65	+ <KV
		66	+ items={[
		67	+ ["Used", `${fmtGB(used, 1)} (${((used / vol.total_gb) * 100).toFixed(0)} %)`],
		68	+ ["Hard minimum free", `${data.budget.hard_min_free_gb} GB`],
		69	+ ["Status", <StatusBadge key="s" status={freeTone === "crit" ? "error" : freeTone === "warn" ? "warning" : "ok"} label={freeTone === "crit" ? "disk critical" : freeTone === "warn" ? "disk low" : "healthy"} />],
		70	+ ]}
		71	+ />
		72	+ </Card>
		73	+ <Card title="Curated budget">
		74	+ <div className="mb-1 flex items-baseline justify-between">
		75	+ <span className="text-2xl font-semibold">{fmtGB(curatedGb, 1)}</span>
		76	+ <span className="text-xs text-ink-2">soft limit {data.budget.soft_limit_gb} GB</span>
		77	+ </div>
		78	+ <Meter value={curatedGb} max={Math.max(data.budget.soft_limit_gb, curatedGb)} tone={curatedGb > data.budget.soft_limit_gb ? "warn" : "accent"} label="Curated bytes vs budget" marks={[{ at: data.budget.soft_limit_gb, label: `budget ${data.budget.soft_limit_gb} GB` }]} className="mb-8 mt-2" />
		79	+ <SegmentedBar
		80	+ parts={[
		81	+ { label: `curated ${fmtBytes(data.curated_bytes)}`, value: data.curated_bytes, color: "var(--series-1)" },
		82	+ { label: `raw ${fmtBytes(data.raw_bytes)}`, value: data.raw_bytes, color: "var(--series-2)" },
		83	+ { label: `retired ${fmtBytes(data.retired_bytes)}`, value: data.retired_bytes, color: "var(--series-3)" },
		84	+ { label: `exports ${fmtBytes(data.exports_bytes)}`, value: data.exports_bytes, color: "var(--seq-200)" },
		85	+ { label: `postgres ${fmtBytes(data.postgres_bytes)}`, value: data.postgres_bytes, color: "var(--ink-3)" },
		86	+ ]}
		87	+ />
		88	+ </Card>
		89	+ </div>
		90	+
		91	+ <Card title={`Per dataset (${perDataset.length})`} className="mt-4">
		92	+ <DataTable
		93	+ rows={perDataset}
		94	+ rowKey={(r) => r.dataset_id}
		95	+ mobile="scroll"
		96	+ columns={[
		97	+ { key: "dataset_id", header: "Dataset", render: (r) => <Link href={`/datasets/detail/?id=${encodeURIComponent(r.dataset_id)}`} className="font-mono text-xs text-accent-ink hover:underline">{r.dataset_id}</Link> },
		98	+ { key: "base_bytes", header: "Base bytes", num: true, render: (r) => fmtBytes(r.base_bytes) },
		99	+ { key: "base_rows", header: "Base rows", num: true, render: (r) => <span title={fmtInt(r.base_rows)}>{fmtCompact(r.base_rows)}</span> },
		100	+ { key: "base_files", header: "Base files", num: true, hideSm: true, render: (r) => fmtInt(r.base_files) },
		101	+ { key: "delta_bytes", header: "Delta bytes", num: true, render: (r) => fmtBytes(r.delta_bytes) },
		102	+ { key: "delta_rows", header: "Delta rows", num: true, render: (r) => <span title={fmtInt(r.delta_rows)}>{fmtCompact(r.delta_rows)}</span> },
		103	+ { key: "delta_files", header: "Delta files", num: true, hideSm: true, render: (r) => fmtInt(r.delta_files) },
		104	+ { key: "other", header: "Other", num: true, hideSm: true, render: (r) => (r.other_files ? `${fmtInt(r.other_files)} · ${fmtBytes(r.other_bytes)}` : "—") },
		105	+ { key: "ratio", header: "Delta share", num: true, render: (r) => { const t = r.base_bytes + r.delta_bytes; return t ? `${((r.delta_bytes / t) * 100).toFixed(0)} %` : "—"; } },
		106	+ ]}
		107	+ empty="No lake files registered."
		108	+ />
		109	+ <p className="mt-2 text-xs text-ink-3">A high delta share means a <code>compaction</code> job would help (merges deltas into base files and publishes a new version).</p>
		110	+ </Card>
		111	+
		112	+ <div className="mt-4 grid gap-4 lg:grid-cols-3">
		113	+ <Card title="Raw archives">
		114	+ <DataTable rows={data.raw_archives} rowKey={(r) => r.status} mobile="scroll" columns={[{ key: "status", header: "Status", render: (r) => <StatusBadge status={r.status} /> }, { key: "n", header: "Archives", num: true, render: (r) => fmtInt(r.n) }, { key: "bytes", header: "Bytes", num: true, render: (r) => fmtBytes(r.bytes) }]} empty="No raw archives." />
		115	+ </Card>
		116	+ <Card title="Exports">
		117	+ <DataTable rows={data.exports} rowKey={(r) => r.status} mobile="scroll" columns={[{ key: "status", header: "Status", render: (r) => <StatusBadge status={r.status} /> }, { key: "n", header: "Count", num: true, render: (r) => fmtInt(r.n) }, { key: "bytes", header: "Bytes", num: true, render: (r) => fmtBytes(r.bytes) }]} empty="No exports." />
		118	+ <div className="mt-2 text-xs text-ink-3">Retired files: {fmtInt(data.retired_files.n)} · {fmtBytes(data.retired_files.bytes)} (reclaimed by <code>gc</code>)</div>
		119	+ </Card>
		120	+ <Card title="Postgres & backup">
		121	+ <KV
		122	+ items={[
		123	+ ["Database size", fmtBytes(data.postgres_bytes)],
		124	+ ["Last backup", data.last_backup ? `${fmtTs(data.last_backup.updated_at)} (${fmtRelative(data.last_backup.updated_at)})` : "none recorded"],
		125	+ ["Verified", data.last_backup ? <StatusBadge key="v" status={data.last_backup.value?.verified ? "verified" : "warning"} label={data.last_backup.value?.verified ? "yes" : "no"} /> : "—"],
		126	+ ]}
		127	+ />
		128	+ {data.last_backup && <div className="mt-2"><JsonView value={data.last_backup.value} collapsed /></div>}
		129	+ {!data.last_backup && <Empty>Enqueue a <code>backup</code> job from Ingestion.</Empty>}
		130	+ </Card>
		131	+ </div>
		132	+
		133	+ <Card title="Capacity note" className="mt-4">
		134	+ <p className="text-sm">
		135	+ Reference model: <strong>{data.capacity_model.bytes_per_1m_bar_curated} bytes</strong> per curated 1-minute bar.
		136	+ {bytesPerBar !== null && (
		137	+ <>
		138	+ {" "}Measured now: <strong>{bytesPerBar.toFixed(1)} bytes/row</strong> across all datasets. At this density the remaining budget ({fmtGB(Math.max(0, data.budget.soft_limit_gb - curatedGb), 0)}) holds about{" "}
		139	+ <strong>{fmtCompact(Math.max(0, (data.budget.soft_limit_gb - curatedGb) * 1e9) / bytesPerBar)}</strong> more bars.
		140	+ </>
		141	+ )}
		142	+ </p>
		143	+ <p className="mt-1 text-xs text-ink-3">{data.capacity_model.note}</p>
		144	+ </Card>
		145	+ </>
		146	+ )}
		147	+ </>
		148	+ );
		149	+}

added apps/web/src/app/symbols/detail/page.tsx +136 −0

				@@ -0,0 +1,136 @@
		1	+"use client";
		2	+import Link from "next/link";
		3	+import { ArrowLeft } from "lucide-react";
		4	+import { api, type InstrumentDetail } from "@/lib/api";
		5	+import { useAsync, useQueryParam } from "@/lib/hooks";
		6	+import { fmtCompact, fmtInt } from "@/lib/format";
		7	+import { Card, Empty, ErrorState, KV, PageHeader, Skeleton, StatusBadge } from "@/components/ui";
		8	+import { DataTable } from "@/components/DataTable";
		9	+import { JsonView } from "@/components/JsonView";
		10	+
		11	+export default function SymbolDetailPage() {
		12	+ const symbol = useQueryParam("symbol")?.toUpperCase() ?? null;
		13	+ const { data, error, loading, reload } = useAsync((s) => api.get<InstrumentDetail>(`/instruments/${encodeURIComponent(symbol!)}`, undefined, s), [symbol], { enabled: !!symbol });
		14	+ const inst = data?.instrument;
		15	+
		16	+ return (
		17	+ <>
		18	+ <Link href="/symbols/" className="mb-2 inline-flex items-center gap-1 text-xs text-ink-2 hover:text-ink-1">
		19	+ <ArrowLeft className="h-3.5 w-3.5" /> Symbols
		20	+ </Link>
		21	+ <PageHeader
		22	+ title={symbol ?? "Symbol"}
		23	+ subtitle={inst?.name ?? (data && !inst ? "Unknown instrument (no master record) — coverage may still exist" : undefined)}
		24	+ actions={
		25	+ symbol && (
		26	+ <>
		27	+ {inst && <StatusBadge status={inst.status} />}
		28	+ <Link href={`/bars/?symbol=${encodeURIComponent(symbol)}`} className="btn btn-sm btn-primary">
		29	+ Bars
		30	+ </Link>
		31	+ <Link href={`/coverage/?symbol=${encodeURIComponent(symbol)}`} className="btn btn-sm">
		32	+ Sessions
		33	+ </Link>
		34	+ <Link href={`/fundamentals/?ticker=${encodeURIComponent(symbol)}`} className="btn btn-sm">
		35	+ Fundamentals
		36	+ </Link>
		37	+ <Link href={`/playground/?symbol=${encodeURIComponent(symbol)}`} className="btn btn-sm">
		38	+ SQL
		39	+ </Link>
		40	+ </>
		41	+ )
		42	+ }
		43	+ />
		44	+ {!symbol && <Empty>Missing <code>?symbol=</code> parameter.</Empty>}
		45	+ {error && <ErrorState error={error} retry={reload} />}
		46	+ {loading && !data && <Skeleton rows={8} />}
		47	+ {data && (
		48	+ <div className="grid gap-4 lg:grid-cols-2">
		49	+ <Card title="Instrument">
		50	+ {inst ? (
		51	+ <KV
		52	+ items={[
		53	+ ["Instrument id", <code key="i" className="text-xs">{inst.instrument_id}</code>],
		54	+ ["Asset class", inst.asset_class],
		55	+ ["Currency", inst.currency ?? "—"],
		56	+ ["First date", inst.first_date ?? "—"],
		57	+ ["Last date", inst.last_date ?? "—"],
		58	+ ...Object.entries(inst)
		59	+ .filter(([k]) => !["instrument_id", "symbol", "name", "asset_class", "status", "first_date", "last_date", "currency"].includes(k))
		60	+ .map(([k, v]) => [k, typeof v === "object" && v !== null ? <JsonView key={k} value={v} collapsed /> : String(v ?? "—")] as [string, React.ReactNode]),
		61	+ ]}
		62	+ />
		63	+ ) : (
		64	+ <Empty>No master record.</Empty>
		65	+ )}
		66	+ </Card>
		67	+ <Card title="Fundamentals">
		68	+ {data.fundamentals && data.fundamentals.facts > 0 ? (
		69	+ <KV
		70	+ items={[
		71	+ ["Facts (current)", fmtInt(data.fundamentals.facts)],
		72	+ ["Last fiscal period", data.fundamentals.last_period ?? "—"],
		73	+ ["Last filing", data.fundamentals.last_filing ?? "—"],
		74	+ ]}
		75	+ />
		76	+ ) : (
		77	+ <Empty>
		78	+ No fundamentals ingested for <code>frd:{symbol}</code>.
		79	+ </Empty>
		80	+ )}
		81	+ </Card>
		82	+ <Card title={`Coverage per dataset (${data.coverage.length})`} className="lg:col-span-2">
		83	+ <DataTable
		84	+ rows={data.coverage}
		85	+ rowKey={(c) => c.dataset_id}
		86	+ mobile="scroll"
		87	+ columns={[
		88	+ {
		89	+ key: "dataset_id",
		90	+ header: "Dataset",
		91	+ render: (c) => (
		92	+ <Link href={`/datasets/detail/?id=${encodeURIComponent(c.dataset_id)}`} className="font-mono text-xs text-accent-ink hover:underline">
		93	+ {c.dataset_id}
		94	+ </Link>
		95	+ ),
		96	+ },
		97	+ { key: "sessions", header: "Sessions", num: true, render: (c) => fmtInt(c.sessions) },
		98	+ { key: "bars", header: "Bars", num: true, render: (c) => <span title={fmtInt(c.bars)}>{fmtCompact(c.bars)}</span> },
		99	+ { key: "d0", header: "From" },
		100	+ { key: "d1", header: "To" },
		101	+ ]}
		102	+ empty="No bars for this symbol yet."
		103	+ />
		104	+ </Card>
		105	+ <Card title={`Corporate actions (${data.corporate_actions.length})`}>
		106	+ <DataTable
		107	+ rows={data.corporate_actions}
		108	+ rowKey={(a, i) => `${a.action_type}-${a.ex_date}-${i}`}
		109	+ mobile="scroll"
		110	+ maxHeight="24rem"
		111	+ columns={[
		112	+ { key: "ex_date", header: "Ex-date", render: (a) => <span className="tnum">{a.ex_date}</span> },
		113	+ { key: "action_type", header: "Type", render: (a) => <StatusBadge status="neutral" label={a.action_type} icon={false} /> },
		114	+ { key: "value", header: "Value", render: (a) => <JsonView value={a.value} collapsed /> },
		115	+ ]}
		116	+ empty="No splits or dividends recorded."
		117	+ />
		118	+ </Card>
		119	+ <Card title={`Aliases (${data.aliases.length})`}>
		120	+ {data.aliases.length === 0 ? (
		121	+ <Empty>No aliases.</Empty>
		122	+ ) : (
		123	+ <ul className="flex flex-col gap-1">
		124	+ {data.aliases.map((a, i) => (
		125	+ <li key={i}>
		126	+ <JsonView value={a} collapsed />
		127	+ </li>
		128	+ ))}
		129	+ </ul>
		130	+ )}
		131	+ </Card>
		132	+ </div>
		133	+ )}
		134	+ </>
		135	+ );
		136	+}

added apps/web/src/app/symbols/page.tsx +122 −0

				@@ -0,0 +1,122 @@
		1	+"use client";
		2	+import Link from "next/link";
		3	+import { useEffect, useState } from "react";
		4	+import { Search } from "lucide-react";
		5	+import { api, type Instrument } from "@/lib/api";
		6	+import { useAsync, useDebounced } from "@/lib/hooks";
		7	+import { useToast } from "@/lib/toast";
		8	+import { fmtInt } from "@/lib/format";
		9	+import { Card, ErrorState, Field, PageHeader, StatusBadge } from "@/components/ui";
		10	+import { DataTable } from "@/components/DataTable";
		11	+
		12	+interface Out {
		13	+ data: Instrument[];
		14	+ meta: { total_instruments: number; active: number };
		15	+ next_cursor: string | null;
		16	+}
		17	+
		18	+export default function SymbolsPage() {
		19	+ const [q, setQ] = useState("");
		20	+ const [status, setStatus] = useState("");
		21	+ const [assetClass, setAssetClass] = useState("");
		22	+ const dq = useDebounced(q.trim(), 300);
		23	+ const [rows, setRows] = useState<Instrument[]>([]);
		24	+ const [cursor, setCursor] = useState<string | null>(null);
		25	+ const [more, setMore] = useState(false);
		26	+ const toast = useToast();
		27	+
		28	+ const { data, error, loading, reload } = useAsync((s) => api.get<Out>("/instruments", { query: dq, status, asset_class: assetClass, limit: 100 }, s), [dq, status, assetClass]);
		29	+
		30	+ useEffect(() => {
		31	+ if (data) {
		32	+ setRows(data.data);
		33	+ setCursor(data.next_cursor);
		34	+ }
		35	+ }, [data]);
		36	+
		37	+ async function loadMore() {
		38	+ if (!cursor) return;
		39	+ setMore(true);
		40	+ try {
		41	+ const out = await api.get<Out>("/instruments", { query: dq, status, asset_class: assetClass, limit: 100, cursor });
		42	+ setRows((r) => [...r, ...out.data]);
		43	+ setCursor(out.next_cursor);
		44	+ } catch (e) {
		45	+ toast.error(e);
		46	+ } finally {
		47	+ setMore(false);
		48	+ }
		49	+ }
		50	+
		51	+ return (
		52	+ <>
		53	+ <PageHeader title="Symbols" subtitle={data ? <>{fmtInt(data.meta.total_instruments)} instruments · {fmtInt(data.meta.active)} active</> : "Instrument master"} />
		54	+ <Card className="mb-4">
		55	+ <div className="flex flex-col gap-2 sm:flex-row sm:items-end">
		56	+ <Field label="Search" className="flex-1">
		57	+ <div className="relative">
		58	+ <Search className="pointer-events-none absolute left-2.5 top-2.5 h-4 w-4 text-ink-3" />
		59	+ <input className="input pl-8" placeholder="Symbol prefix or name…" value={q} onChange={(e) => setQ(e.target.value)} autoFocus />
		60	+ </div>
		61	+ </Field>
		62	+ <Field label="Status" className="sm:w-40">
		63	+ <select className="input" value={status} onChange={(e) => setStatus(e.target.value)}>
		64	+ <option value="">any</option>
		65	+ <option value="active">active</option>
		66	+ <option value="delisted">delisted</option>
		67	+ <option value="inactive">inactive</option>
		68	+ </select>
		69	+ </Field>
		70	+ <Field label="Asset class" className="sm:w-40">
		71	+ <select className="input" value={assetClass} onChange={(e) => setAssetClass(e.target.value)}>
		72	+ <option value="">any</option>
		73	+ <option value="stock">stock</option>
		74	+ <option value="etf">etf</option>
		75	+ <option value="index">index</option>
		76	+ <option value="crypto">crypto</option>
		77	+ <option value="fx">fx</option>
		78	+ <option value="futures">futures</option>
		79	+ </select>
		80	+ </Field>
		81	+ </div>
		82	+ </Card>
		83	+ {error && <ErrorState error={error} retry={reload} />}
		84	+ <Card>
		85	+ <DataTable
		86	+ rows={rows}
		87	+ loading={loading}
		88	+ rowKey={(r) => r.instrument_id}
		89	+ mobile="scroll"
		90	+ columns={[
		91	+ {
		92	+ key: "symbol",
		93	+ header: "Symbol",
		94	+ render: (r) => (
		95	+ <Link href={`/symbols/detail/?symbol=${encodeURIComponent(r.symbol)}`} className="font-mono font-semibold text-accent-ink hover:underline">
		96	+ {r.symbol}
		97	+ </Link>
		98	+ ),
		99	+ },
		100	+ { key: "name", header: "Name", render: (r) => <span className="line-clamp-1">{r.name ?? "—"}</span> },
		101	+ { key: "asset_class", header: "Class", hideSm: true },
		102	+ { key: "status", header: "Status", render: (r) => <StatusBadge status={r.status} /> },
		103	+ { key: "first_date", header: "First", hideSm: true, render: (r) => <span className="tnum">{r.first_date ?? "—"}</span> },
		104	+ { key: "last_date", header: "Last", hideSm: true, render: (r) => <span className="tnum">{r.last_date ?? "—"}</span> },
		105	+ { key: "currency", header: "Ccy", hideSm: true },
		106	+ ]}
		107	+ empty={dq ? `No instrument matches “${dq}”.` : "No instruments yet — run a metadata job."}
		108	+ footer={
		109	+ <>
		110	+ <span>{fmtInt(rows.length)} shown</span>
		111	+ {cursor && (
		112	+ <button className="btn btn-sm" onClick={loadMore} disabled={more}>
		113	+ {more ? "Loading…" : "Load more"}
		114	+ </button>
		115	+ )}
		116	+ </>
		117	+ }
		118	+ />
		119	+ </Card>
		120	+ </>
		121	+ );
		122	+}

added apps/web/src/components/ConfirmDialog.tsx +61 −0

				@@ -0,0 +1,61 @@
		1	+"use client";
		2	+import { useEffect, useRef, type ReactNode } from "react";
		3	+import clsx from "clsx";
		4	+
		5	+interface Props {
		6	+ open: boolean;
		7	+ title: string;
		8	+ children?: ReactNode;
		9	+ confirmLabel?: string;
		10	+ danger?: boolean;
		11	+ busy?: boolean;
		12	+ onConfirm: () => void;
		13	+ onCancel: () => void;
		14	+}
		15	+
		16	+export function ConfirmDialog({ open, title, children, confirmLabel = "Confirm", danger, busy, onConfirm, onCancel }: Props) {
		17	+ const ref = useRef<HTMLDialogElement>(null);
		18	+ useEffect(() => {
		19	+ const d = ref.current;
		20	+ if (!d) return;
		21	+ if (open && !d.open) d.showModal();
		22	+ if (!open && d.open) d.close();
		23	+ }, [open]);
		24	+ return (
		25	+ <dialog ref={ref} onClose={onCancel} onCancel={onCancel} className="m-auto w-[min(92vw,28rem)] rounded-lg border border-border bg-surface-1 p-0 text-ink-1 shadow-xl">
		26	+ <div className="p-4">
		27	+ <h2 className="text-base font-semibold">{title}</h2>
		28	+ {children && <div className="mt-2 text-sm text-ink-2">{children}</div>}
		29	+ </div>
		30	+ <div className="flex justify-end gap-2 border-t border-hairline px-4 py-3">
		31	+ <button className="btn" onClick={onCancel} disabled={busy}>
		32	+ Cancel
		33	+ </button>
		34	+ <button className={clsx("btn", danger ? "btn-danger" : "btn-primary")} onClick={onConfirm} disabled={busy}>
		35	+ {busy ? "Working…" : confirmLabel}
		36	+ </button>
		37	+ </div>
		38	+ </dialog>
		39	+ );
		40	+}
		41	+
		42	+export function Modal({ open, title, children, onClose, wide }: { open: boolean; title: string; children: ReactNode; onClose: () => void; wide?: boolean }) {
		43	+ const ref = useRef<HTMLDialogElement>(null);
		44	+ useEffect(() => {
		45	+ const d = ref.current;
		46	+ if (!d) return;
		47	+ if (open && !d.open) d.showModal();
		48	+ if (!open && d.open) d.close();
		49	+ }, [open]);
		50	+ return (
		51	+ <dialog ref={ref} onClose={onClose} onCancel={onClose} className={clsx("m-auto rounded-lg border border-border bg-surface-1 p-0 text-ink-1 shadow-xl", wide ? "w-[min(96vw,56rem)]" : "w-[min(92vw,32rem)]")}>
		52	+ <div className="flex items-center justify-between border-b border-hairline px-4 py-3">
		53	+ <h2 className="text-base font-semibold">{title}</h2>
		54	+ <button className="btn btn-ghost btn-sm" onClick={onClose} aria-label="Close">
		55	+ ✕
		56	+ </button>
		57	+ </div>
		58	+ <div className="max-h-[80dvh] overflow-y-auto p-4">{children}</div>
		59	+ </dialog>
		60	+ );
		61	+}

added apps/web/src/components/CopyButton.tsx +25 −0

				@@ -0,0 +1,25 @@
		1	+"use client";
		2	+import { useState } from "react";
		3	+import { Check, Copy } from "lucide-react";
		4	+
		5	+export function CopyButton({ text, label = "Copy", className }: { text: string; label?: string; className?: string }) {
		6	+ const [ok, setOk] = useState(false);
		7	+ return (
		8	+ <button
		9	+ type="button"
		10	+ className={className ?? "btn btn-sm"}
		11	+ onClick={async () => {
		12	+ try {
		13	+ await navigator.clipboard.writeText(text);
		14	+ setOk(true);
		15	+ setTimeout(() => setOk(false), 1500);
		16	+ } catch {
		17	+ /* clipboard denied */
		18	+ }
		19	+ }}
		20	+ >
		21	+ {ok ? <Check className="h-3.5 w-3.5 text-ok" /> : <Copy className="h-3.5 w-3.5" />}
		22	+ {ok ? "Copied" : label}
		23	+ </button>
		24	+ );
		25	+}

added apps/web/src/components/DataTable.tsx +88 −0

				@@ -0,0 +1,88 @@
		1	+"use client";
		2	+import clsx from "clsx";
		3	+import type { ReactNode } from "react";
		4	+import { Empty, Skeleton } from "./ui";
		5	+
		6	+export interface Column<T> {
		7	+ key: string;
		8	+ header: ReactNode;
		9	+ render?: (row: T, i: number) => ReactNode;
		10	+ num?: boolean;
		11	+ className?: string;
		12	+ /** hide below `sm` to save width on phones; still visible in the card view */
		13	+ hideSm?: boolean;
		14	+ mono?: boolean;
		15	+}
		16	+
		17	+interface Props<T> {
		18	+ columns: Column<T>[];
		19	+ rows: T[] | null | undefined;
		20	+ rowKey: (row: T, i: number) => string | number;
		21	+ loading?: boolean;
		22	+ empty?: ReactNode;
		23	+ /** Card layout under 640px (default) or always horizontal scroll */
		24	+ mobile?: "cards" | "scroll";
		25	+ maxHeight?: string;
		26	+ onRowClick?: (row: T) => void;
		27	+ footer?: ReactNode;
		28	+}
		29	+
		30	+function cell<T>(c: Column<T>, row: T, i: number): ReactNode {
		31	+ if (c.render) return c.render(row, i);
		32	+ const v = (row as Record<string, unknown>)[c.key];
		33	+ if (v === null || v === undefined) return <span className="text-ink-3">—</span>;
		34	+ if (typeof v === "object") return <code className="text-xs">{JSON.stringify(v)}</code>;
		35	+ return String(v);
		36	+}
		37	+
		38	+export function DataTable<T>({ columns, rows, rowKey, loading, empty, mobile = "cards", maxHeight, onRowClick, footer }: Props<T>) {
		39	+ if (loading && !rows) return <Skeleton rows={5} />;
		40	+ if (!rows || rows.length === 0) return <Empty>{empty ?? "No rows."}</Empty>;
		41	+ return (
		42	+ <div className={clsx(loading && "opacity-60 transition-opacity")}>
		43	+ {/* Cards (mobile) */}
		44	+ {mobile === "cards" && (
		45	+ <ul className="flex flex-col gap-2 sm:hidden">
		46	+ {rows.map((r, i) => (
		47	+ <li key={rowKey(r, i)} className={clsx("rounded-md border border-border bg-surface-1 p-3", onRowClick && "cursor-pointer active:bg-surface-2")} onClick={onRowClick ? () => onRowClick(r) : undefined}>
		48	+ <dl className="grid grid-cols-[minmax(0,40%)_1fr] gap-x-3 gap-y-1 text-sm">
		49	+ {columns.map((c) => (
		50	+ <div key={c.key} className="contents">
		51	+ <dt className="truncate text-xs text-ink-3">{c.header}</dt>
		52	+ <dd className={clsx("min-w-0 break-words", c.mono && "font-mono text-xs", c.num && "tnum")}>{cell(c, r, i)}</dd>
		53	+ </div>
		54	+ ))}
		55	+ </dl>
		56	+ </li>
		57	+ ))}
		58	+ </ul>
		59	+ )}
		60	+ {/* Table */}
		61	+ <div className={clsx("table-wrap", mobile === "cards" && "hidden sm:block")} style={maxHeight ? { maxHeight, overflowY: "auto" } : undefined}>
		62	+ <table className="table">
		63	+ <thead>
		64	+ <tr>
		65	+ {columns.map((c) => (
		66	+ <th key={c.key} className={clsx(c.num && "text-right", c.hideSm && "hidden md:table-cell", c.className)}>
		67	+ {c.header}
		68	+ </th>
		69	+ ))}
		70	+ </tr>
		71	+ </thead>
		72	+ <tbody>
		73	+ {rows.map((r, i) => (
		74	+ <tr key={rowKey(r, i)} className={clsx(onRowClick && "cursor-pointer")} onClick={onRowClick ? () => onRowClick(r) : undefined}>
		75	+ {columns.map((c) => (
		76	+ <td key={c.key} className={clsx(c.num && "num", c.mono && "font-mono text-xs", c.hideSm && "hidden md:table-cell", c.className)}>
		77	+ {cell(c, r, i)}
		78	+ </td>
		79	+ ))}
		80	+ </tr>
		81	+ ))}
		82	+ </tbody>
		83	+ </table>
		84	+ </div>
		85	+ {footer && <div className="mt-2 flex items-center justify-between gap-2 text-xs text-ink-3">{footer}</div>}
		86	+ </div>
		87	+ );
		88	+}

added apps/web/src/components/DateRange.tsx +35 −0

				@@ -0,0 +1,35 @@
		1	+"use client";
		2	+import clsx from "clsx";
		3	+import { daysAgo, today } from "@/lib/format";
		4	+import { Field } from "./ui";
		5	+
		6	+interface Props {
		7	+ start: string;
		8	+ end: string;
		9	+ onChange: (start: string, end: string) => void;
		10	+ presets?: number[]; // days
		11	+ className?: string;
		12	+}
		13	+
		14	+export function DateRange({ start, end, onChange, presets = [7, 30, 90, 120, 365], className }: Props) {
		15	+ return (
		16	+ <div className={clsx("flex flex-wrap items-end gap-2", className)}>
		17	+ <Field label="Start" className="w-[10.5rem]">
		18	+ <input type="date" className="input" value={start} max={end || undefined} onChange={(e) => onChange(e.target.value, end)} />
		19	+ </Field>
		20	+ <Field label="End" className="w-[10.5rem]">
		21	+ <input type="date" className="input" value={end} min={start || undefined} onChange={(e) => onChange(start, e.target.value)} />
		22	+ </Field>
		23	+ <div className="flex flex-wrap gap-1">
		24	+ {presets.map((d) => {
		25	+ const active = start === daysAgo(d) && end === today();
		26	+ return (
		27	+ <button key={d} type="button" className={clsx("btn btn-sm", active && "border-accent bg-accent-soft text-accent-ink")} onClick={() => onChange(daysAgo(d), today())}>
		28	+ {d} d
		29	+ </button>
		30	+ );
		31	+ })}
		32	+ </div>
		33	+ </div>
		34	+ );
		35	+}

added apps/web/src/components/JsonView.tsx +28 −0

				@@ -0,0 +1,28 @@
		1	+"use client";
		2	+import { useState } from "react";
		3	+import clsx from "clsx";
		4	+
		5	+export function JsonView({ value, collapsed = false, className, maxHeight = "20rem" }: { value: unknown; collapsed?: boolean; className?: string; maxHeight?: string }) {
		6	+ const [open, setOpen] = useState(!collapsed);
		7	+ if (value === null || value === undefined) return <span className="text-ink-3">—</span>;
		8	+ const text = typeof value === "string" ? value : JSON.stringify(value, null, 2);
		9	+ const short = text.length > 80 ? text.slice(0, 80) + "…" : text;
		10	+ if (!open)
		11	+ return (
		12	+ <button className="font-mono text-xs text-ink-2 underline-offset-2 hover:underline text-left break-all" onClick={() => setOpen(true)} title="Expand">
		13	+ {short.replace(/\s+/g, " ")}
		14	+ </button>
		15	+ );
		16	+ return (
		17	+ <div className={clsx("relative", className)}>
		18	+ <pre className="overflow-auto rounded-md border border-hairline bg-surface-2 p-2 font-mono text-xs leading-relaxed text-ink-1" style={{ maxHeight }}>
		19	+ {text}
		20	+ </pre>
		21	+ {collapsed && (
		22	+ <button className="absolute right-1 top-1 btn btn-ghost btn-sm" onClick={() => setOpen(false)}>
		23	+ collapse
		24	+ </button>
		25	+ )}
		26	+ </div>
		27	+ );
		28	+}

added apps/web/src/components/Providers.tsx +16 −0

				@@ -0,0 +1,16 @@
		1	+"use client";
		2	+import type { ReactNode } from "react";
		3	+import { AuthProvider } from "@/lib/auth";
		4	+import { ToastProvider } from "@/lib/toast";
		5	+import { Toaster } from "./Toast";
		6	+
		7	+export function Providers({ children }: { children: ReactNode }) {
		8	+ return (
		9	+ <ToastProvider>
		10	+ <AuthProvider>
		11	+ {children}
		12	+ <Toaster />
		13	+ </AuthProvider>
		14	+ </ToastProvider>
		15	+ );
		16	+}

added apps/web/src/components/Shell.tsx +160 −0

				@@ -0,0 +1,160 @@
		1	+"use client";
		2	+import { useEffect, useState, type ReactNode } from "react";
		3	+import Link from "next/link";
		4	+import { usePathname } from "next/navigation";
		5	+import clsx from "clsx";
		6	+import { LogOut, Menu, MoreHorizontal, X } from "lucide-react";
		7	+import { useAuth } from "@/lib/auth";
		8	+import { MOBILE_TABS, NAV } from "./nav";
		9	+
		10	+function normalize(p: string | null): string {
		11	+ if (!p) return "/";
		12	+ const s = p.endsWith("/") ? p : p + "/";
		13	+ return s;
		14	+}
		15	+
		16	+function isCurrent(href: string, path: string): boolean {
		17	+ if (href === "/") return path === "/";
		18	+ return path.startsWith(href);
		19	+}
		20	+
		21	+export function Shell({ children }: { children: ReactNode }) {
		22	+ const { me, loading, logout, isOwner } = useAuth();
		23	+ const pathname = normalize(usePathname());
		24	+ const [open, setOpen] = useState(false);
		25	+ const isLogin = pathname === "/login/";
		26	+
		27	+ useEffect(() => setOpen(false), [pathname]);
		28	+
		29	+ if (isLogin) return <main className="min-h-dvh">{children}</main>;
		30	+
		31	+ if (loading || !me || !me.mfa_passed) {
		32	+ return (
		33	+ <main className="flex min-h-dvh items-center justify-center p-6">
		34	+ <div className="flex items-center gap-3 text-ink-2">
		35	+ <span className="h-3 w-3 animate-pulse rounded-full bg-accent" aria-hidden />
		36	+ {loading ? "Checking session…" : "Redirecting to sign-in…"}
		37	+ </div>
		38	+ </main>
		39	+ );
		40	+ }
		41	+
		42	+ const items = NAV.filter((n) => !n.owner || isOwner);
		43	+ const groups: { key: "data" | "ops" | "system"; label: string }[] = [
		44	+ { key: "data", label: "Data" },
		45	+ { key: "ops", label: "Operations" },
		46	+ { key: "system", label: "System" },
		47	+ ];
		48	+ const tabs = items.filter((n) => MOBILE_TABS.includes(n.href)).slice(0, 4);
		49	+
		50	+ const NavList = (
		51	+ <nav className="flex flex-col gap-4" aria-label="Main">
		52	+ {groups.map((g) => {
		53	+ const gi = items.filter((n) => n.group === g.key);
		54	+ if (!gi.length) return null;
		55	+ return (
		56	+ <div key={g.key}>
		57	+ <div className="mb-1 px-2.5 text-[11px] font-semibold uppercase tracking-wider text-ink-3">{g.label}</div>
		58	+ <ul className="flex flex-col gap-0.5">
		59	+ {gi.map((n) => (
		60	+ <li key={n.href}>
		61	+ <Link href={n.href} className="nav-link" aria-current={isCurrent(n.href, pathname) ? "page" : undefined}>
		62	+ <n.icon className="h-4 w-4 shrink-0" aria-hidden />
		63	+ <span>{n.label}</span>
		64	+ </Link>
		65	+ </li>
		66	+ ))}
		67	+ </ul>
		68	+ </div>
		69	+ );
		70	+ })}
		71	+ </nav>
		72	+ );
		73	+
		74	+ const Account = (
		75	+ <div className="border-t border-hairline pt-3">
		76	+ <div className="truncate px-2.5 text-xs text-ink-2" title={me.email ?? ""}>
		77	+ {me.email}
		78	+ </div>
		79	+ <div className="flex items-center justify-between px-2.5">
		80	+ <span className="pill bg-surface-2 text-ink-2">{me.role}</span>
		81	+ <button className="btn btn-ghost btn-sm" onClick={() => void logout()}>
		82	+ <LogOut className="h-3.5 w-3.5" /> Sign out
		83	+ </button>
		84	+ </div>
		85	+ </div>
		86	+ );
		87	+
		88	+ return (
		89	+ <div className="min-h-dvh lg:grid lg:grid-cols-[232px_1fr]">
		90	+ {/* Sidebar (desktop) */}
		91	+ <aside className="sticky top-0 hidden h-dvh flex-col gap-4 overflow-y-auto border-r border-hairline bg-surface-1 p-3 lg:flex">
		92	+ <Link href="/" className="flex items-center gap-2 px-2.5 py-1">
		93	+ <Logo />
		94	+ <span className="text-sm font-semibold tracking-tight">FinData OS</span>
		95	+ </Link>
		96	+ <div className="flex-1">{NavList}</div>
		97	+ {Account}
		98	+ </aside>
		99	+
		100	+ {/* Top bar (mobile/tablet) */}
		101	+ <header className="sticky top-0 z-30 flex items-center justify-between border-b border-hairline bg-surface-1/95 px-3 py-2 backdrop-blur lg:hidden">
		102	+ <Link href="/" className="flex items-center gap-2">
		103	+ <Logo />
		104	+ <span className="text-sm font-semibold">FinData OS</span>
		105	+ </Link>
		106	+ <button className="btn btn-ghost px-2" aria-label="Open menu" aria-expanded={open} onClick={() => setOpen(true)}>
		107	+ <Menu className="h-5 w-5" />
		108	+ </button>
		109	+ </header>
		110	+
		111	+ {/* Drawer */}
		112	+ {open && (
		113	+ <div className="fixed inset-0 z-40 lg:hidden" role="dialog" aria-modal="true" aria-label="Navigation">
		114	+ <button className="absolute inset-0 bg-black/45" aria-label="Close menu" onClick={() => setOpen(false)} />
		115	+ <div className="absolute inset-y-0 right-0 flex w-[82%] max-w-xs flex-col gap-4 overflow-y-auto bg-surface-1 p-3 shadow-xl">
		116	+ <div className="flex items-center justify-between px-2.5">
		117	+ <span className="text-sm font-semibold">Menu</span>
		118	+ <button className="btn btn-ghost px-2" aria-label="Close" onClick={() => setOpen(false)}>
		119	+ <X className="h-5 w-5" />
		120	+ </button>
		121	+ </div>
		122	+ <div className="flex-1">{NavList}</div>
		123	+ {Account}
		124	+ </div>
		125	+ </div>
		126	+ )}
		127	+
		128	+ {/* Content */}
		129	+ <main className="min-w-0 px-3 pb-20 pt-3 sm:px-5 sm:pt-4 lg:px-8 lg:pb-8 lg:pt-6">
		130	+ <div className="mx-auto max-w-[1400px]">{children}</div>
		131	+ </main>
		132	+
		133	+ {/* Bottom tab bar (mobile) */}
		134	+ <nav className="fixed inset-x-0 bottom-0 z-30 grid grid-cols-5 border-t border-hairline bg-surface-1/95 pb-[env(safe-area-inset-bottom)] backdrop-blur lg:hidden" aria-label="Quick">
		135	+ {tabs.map((n) => {
		136	+ const cur = isCurrent(n.href, pathname);
		137	+ return (
		138	+ <Link key={n.href} href={n.href} className={clsx("flex flex-col items-center gap-0.5 py-2 text-[11px]", cur ? "text-accent-ink" : "text-ink-2")} aria-current={cur ? "page" : undefined}>
		139	+ <n.icon className="h-5 w-5" aria-hidden />
		140	+ {n.label.split(" ")[0]}
		141	+ </Link>
		142	+ );
		143	+ })}
		144	+ <button className="flex flex-col items-center gap-0.5 py-2 text-[11px] text-ink-2" onClick={() => setOpen(true)}>
		145	+ <MoreHorizontal className="h-5 w-5" aria-hidden />
		146	+ More
		147	+ </button>
		148	+ </nav>
		149	+ </div>
		150	+ );
		151	+}
		152	+
		153	+function Logo() {
		154	+ return (
		155	+ <svg viewBox="0 0 32 32" className="h-6 w-6" aria-hidden>
		156	+ <rect width="32" height="32" rx="7" fill="var(--accent)" />
		157	+ <path d="M8 22V10h4v12zm6 0V14h4v8zm6 0v-5h4v5z" fill="#fff" />
		158	+ </svg>
		159	+ );
		160	+}

added apps/web/src/components/Toast.tsx +40 −0

				@@ -0,0 +1,40 @@
		1	+"use client";
		2	+import { AlertTriangle, CheckCircle2, Info, X, XCircle } from "lucide-react";
		3	+import clsx from "clsx";
		4	+import { useToast, type ToastKind } from "@/lib/toast";
		5	+
		6	+const ICON: Record<ToastKind, typeof Info> = { info: Info, success: CheckCircle2, warning: AlertTriangle, error: XCircle };
		7	+const STYLE: Record<ToastKind, string> = {
		8	+ info: "border-accent/40 bg-surface-1",
		9	+ success: "border-ok/50 bg-surface-1",
		10	+ warning: "border-warn/60 bg-surface-1",
		11	+ error: "border-crit/60 bg-surface-1",
		12	+};
		13	+const ICON_STYLE: Record<ToastKind, string> = { info: "text-accent", success: "text-ok", warning: "text-warn-ink", error: "text-crit" };
		14	+
		15	+export function Toaster() {
		16	+ const { toasts, dismiss } = useToast();
		17	+ if (!toasts.length) return null;
		18	+ return (
		19	+ <div className="pointer-events-none fixed inset-x-0 bottom-16 z-50 flex flex-col items-center gap-2 px-3 sm:bottom-4 sm:items-end sm:pr-4" aria-live="polite">
		20	+ {toasts.map((t) => {
		21	+ const Icon = ICON[t.kind];
		22	+ return (
		23	+ <div key={t.id} role="status" className={clsx("pointer-events-auto flex w-full max-w-sm items-start gap-2 rounded-lg border p-3 shadow-lg", STYLE[t.kind])}>
		24	+ <Icon className={clsx("mt-0.5 h-4 w-4 shrink-0", ICON_STYLE[t.kind])} aria-hidden />
		25	+ <div className="min-w-0 flex-1">
		26	+ <div className="text-sm font-medium break-words">{t.title}</div>
		27	+ {t.detail && <div className="text-xs text-ink-2 break-words">{t.detail}</div>}
		28	+ {t.requestId && (
		29	+ <div className="mt-0.5 font-mono text-[11px] text-ink-3">request_id {t.requestId}</div>
		30	+ )}
		31	+ </div>
		32	+ <button className="btn btn-ghost btn-sm -mr-1 -mt-1 px-1" onClick={() => dismiss(t.id)} aria-label="Dismiss">
		33	+ <X className="h-3.5 w-3.5" />
		34	+ </button>
		35	+ </div>
		36	+ );
		37	+ })}
		38	+ </div>
		39	+ );
		40	+}

added apps/web/src/components/charts.tsx +274 −0

				@@ -0,0 +1,274 @@
		1	+"use client";
		2	+import { useMemo, useState } from "react";
		3	+import clsx from "clsx";
		4	+import { Area, Bar, BarChart, CartesianGrid, ComposedChart, Line, ResponsiveContainer, Tooltip, XAxis, YAxis } from "recharts";
		5	+import { fmtCompact, fmtInt, fmtNum, fmtPct } from "@/lib/format";
		6	+
		7	+/* Tooltip box styled with tokens (values lead, labels follow). */
		8	+function TipBox({ title, rows }: { title: string; rows: { label: string; value: string; color?: string }[] }) {
		9	+ return (
		10	+ <div className="rounded-md border border-border bg-surface-1 px-2.5 py-2 text-xs shadow-md">
		11	+ <div className="mb-1 text-ink-3">{title}</div>
		12	+ {rows.map((r) => (
		13	+ <div key={r.label} className="flex items-center justify-between gap-4">
		14	+ <span className="flex items-center gap-1.5 text-ink-2">
		15	+ {r.color && <span className="inline-block h-0.5 w-3 rounded" style={{ background: r.color }} aria-hidden />}
		16	+ {r.label}
		17	+ </span>
		18	+ <span className="font-semibold tnum text-ink-1">{r.value}</span>
		19	+ </div>
		20	+ ))}
		21	+ </div>
		22	+ );
		23	+}
		24	+
		25	+type TipPayload = { payload?: Record<string, unknown>; dataKey?: string | number; value?: unknown }[];
		26	+
		27	+// ---------------------------------------------------------------- price (close) line
		28	+export function CloseLineChart({ data, height = 240 }: { data: { t: string; close: number; label: string }[]; height?: number }) {
		29	+ if (!data.length) return null;
		30	+ return (
		31	+ <div className="viz" style={{ height }}>
		32	+ <ResponsiveContainer width="100%" height="100%">
		33	+ <ComposedChart data={data} margin={{ top: 8, right: 12, bottom: 4, left: 0 }}>
		34	+ <CartesianGrid vertical={false} />
		35	+ <XAxis dataKey="label" tickLine={false} minTickGap={32} />
		36	+ <YAxis domain={["auto", "auto"]} tickLine={false} axisLine={false} width={56} tickFormatter={(v) => fmtNum(Number(v), 2)} />
		37	+ <Tooltip
		38	+ cursor={{ stroke: "var(--axis)" }}
		39	+ content={({ active, payload }: { active?: boolean; payload?: TipPayload }) => {
		40	+ if (!active || !payload?.length) return null;
		41	+ const p = payload[0].payload as { t: string; close: number; open?: number; high?: number; low?: number; volume?: number };
		42	+ return (
		43	+ <TipBox
		44	+ title={p.t}
		45	+ rows={[
		46	+ { label: "close", value: fmtNum(p.close, 4), color: "var(--series-1)" },
		47	+ ...(p.open !== undefined ? [{ label: "open", value: fmtNum(p.open, 4) }] : []),
		48	+ ...(p.high !== undefined ? [{ label: "high", value: fmtNum(p.high, 4) }] : []),
		49	+ ...(p.low !== undefined ? [{ label: "low", value: fmtNum(p.low, 4) }] : []),
		50	+ ...(p.volume !== undefined ? [{ label: "volume", value: fmtInt(p.volume) }] : []),
		51	+ ]}
		52	+ />
		53	+ );
		54	+ }}
		55	+ />
		56	+ <Area type="monotone" dataKey="close" stroke="none" fill="var(--series-1)" fillOpacity={0.1} isAnimationActive={false} />
		57	+ <Line type="monotone" dataKey="close" stroke="var(--series-1)" strokeWidth={2} dot={false} activeDot={{ r: 4, stroke: "var(--surface-1)", strokeWidth: 2 }} isAnimationActive={false} />
		58	+ </ComposedChart>
		59	+ </ResponsiveContainer>
		60	+ </div>
		61	+ );
		62	+}
		63	+
		64	+// ---------------------------------------------------------------- volume bars
		65	+export function VolumeBarChart({ data, height = 110, color = "var(--series-1)", valueKey = "volume", title = "volume" }: { data: { label: string; [k: string]: unknown }[]; height?: number; color?: string; valueKey?: string; title?: string }) {
		66	+ if (!data.length) return null;
		67	+ return (
		68	+ <div style={{ height }}>
		69	+ <ResponsiveContainer width="100%" height="100%">
		70	+ <BarChart data={data} margin={{ top: 4, right: 12, bottom: 4, left: 0 }} barCategoryGap={2}>
		71	+ <CartesianGrid vertical={false} />
		72	+ <XAxis dataKey="label" tickLine={false} minTickGap={32} hide />
		73	+ <YAxis tickLine={false} axisLine={false} width={56} tickFormatter={(v) => fmtCompact(Number(v))} />
		74	+ <Tooltip
		75	+ cursor={{ fill: "var(--surface-3)" }}
		76	+ content={({ active, payload }: { active?: boolean; payload?: TipPayload }) => {
		77	+ if (!active || !payload?.length) return null;
		78	+ const p = payload[0].payload as Record<string, unknown>;
		79	+ return <TipBox title={String(p.t ?? p.label)} rows={[{ label: title, value: fmtInt(Number(p[valueKey])), color }]} />;
		80	+ }}
		81	+ />
		82	+ <Bar dataKey={valueKey} fill={color} maxBarSize={24} radius={[3, 3, 0, 0]} isAnimationActive={false} />
		83	+ </BarChart>
		84	+ </ResponsiveContainer>
		85	+ </div>
		86	+ );
		87	+}
		88	+
		89	+// ---------------------------------------------------------------- generic horizontal bars (counts by category)
		90	+export function CategoryBars({ data, height, color = "var(--series-1)", format = fmtInt }: { data: { name: string; value: number }[]; height?: number; color?: string; format?: (n: number) => string }) {
		91	+ if (!data.length) return null;
		92	+ const h = height ?? Math.max(80, data.length * 28 + 16);
		93	+ return (
		94	+ <div style={{ height: h }}>
		95	+ <ResponsiveContainer width="100%" height="100%">
		96	+ <BarChart data={data} layout="vertical" margin={{ top: 4, right: 48, bottom: 4, left: 8 }} barCategoryGap={4}>
		97	+ <CartesianGrid horizontal={false} />
		98	+ <XAxis type="number" tickLine={false} axisLine={false} tickFormatter={(v) => fmtCompact(Number(v))} />
		99	+ <YAxis type="category" dataKey="name" width={130} tickLine={false} axisLine={false} tick={{ fontSize: 11 }} />
		100	+ <Tooltip
		101	+ cursor={{ fill: "var(--surface-3)" }}
		102	+ content={({ active, payload }: { active?: boolean; payload?: TipPayload }) => {
		103	+ if (!active || !payload?.length) return null;
		104	+ const p = payload[0].payload as { name: string; value: number };
		105	+ return <TipBox title={p.name} rows={[{ label: "count", value: format(p.value), color }]} />;
		106	+ }}
		107	+ />
		108	+ <Bar dataKey="value" fill={color} maxBarSize={20} radius={[0, 3, 3, 0]} isAnimationActive={false} label={{ position: "right", fill: "var(--ink-2)", fontSize: 11, formatter: (v: unknown) => format(Number(v)) }} />
		109	+ </BarChart>
		110	+ </ResponsiveContainer>
		111	+ </div>
		112	+ );
		113	+}
		114	+
		115	+// ---------------------------------------------------------------- completeness heatmap (calendar cells)
		116	+const SEQ = ["--seq-100", "--seq-200", "--seq-300", "--seq-400", "--seq-500", "--seq-600", "--seq-700"];
		117	+export function seqColor(x: number | null | undefined): string {
		118	+ if (x === null || x === undefined || Number.isNaN(x)) return "var(--surface-3)";
		119	+ const i = Math.min(SEQ.length - 1, Math.max(0, Math.floor(Math.max(0, Math.min(1, x)) * SEQ.length)));
		120	+ return `var(${SEQ[i]})`;
		121	+}
		122	+
		123	+export interface HeatCell {
		124	+ session_date: string;
		125	+ completeness: number | null;
		126	+ symbols: number;
		127	+ bars: number;
		128	+}
		129	+
		130	+export function CompletenessHeatmap({ cells, start, end }: { cells: HeatCell[]; start: string; end: string }) {
		131	+ const [hover, setHover] = useState<HeatCell | null>(null);
		132	+ // Build week columns Mon..Fri (sessions are weekdays). Missing day = no data.
		133	+ const { weeks, byDate } = useMemo(() => {
		134	+ const map = new Map(cells.map((c) => [c.session_date, c]));
		135	+ const s = new Date(start + "T00:00:00Z");
		136	+ const e = new Date(end + "T00:00:00Z");
		137	+ // align start to Monday
		138	+ const dow = (s.getUTCDay() + 6) % 7; // Mon=0
		139	+ s.setUTCDate(s.getUTCDate() - dow);
		140	+ const weeks: string[][] = [];
		141	+ for (let d = new Date(s); d <= e; ) {
		142	+ const w: string[] = [];
		143	+ for (let i = 0; i < 7; i++) {
		144	+ w.push(d.toISOString().slice(0, 10));
		145	+ d.setUTCDate(d.getUTCDate() + 1);
		146	+ }
		147	+ weeks.push(w.slice(0, 5)); // Mon–Fri
		148	+ }
		149	+ return { weeks, byDate: map };
		150	+ }, [cells, start, end]);
		151	+
		152	+ const cell = 14;
		153	+ const gap = 2;
		154	+ const w = weeks.length * (cell + gap) + 28;
		155	+ const h = 5 * (cell + gap) + 18;
		156	+ const days = ["Mon", "Tue", "Wed", "Thu", "Fri"];
		157	+
		158	+ return (
		159	+ <div>
		160	+ <div className="overflow-x-auto">
		161	+ <svg width={w} height={h} role="img" aria-label="Completeness per session" className="block">
		162	+ {days.map((d, i) => (
		163	+ <text key={d} x={0} y={18 + i * (cell + gap) + cell - 3} fontSize={9} fill="var(--ink-3)">
		164	+ {d}
		165	+ </text>
		166	+ ))}
		167	+ {weeks.map((wk, wi) => {
		168	+ const first = wk[0];
		169	+ const showMonth = first.slice(8, 10) <= "07";
		170	+ return (
		171	+ <g key={wi} transform={`translate(${28 + wi * (cell + gap)}, 0)`}>
		172	+ {showMonth && (
		173	+ <text x={0} y={9} fontSize={9} fill="var(--ink-3)">
		174	+ {first.slice(0, 7)}
		175	+ </text>
		176	+ )}
		177	+ {wk.map((date, di) => {
		178	+ const c = byDate.get(date);
		179	+ const inRange = date >= start && date <= end;
		180	+ if (!inRange) return null;
		181	+ return (
		182	+ <rect
		183	+ key={date}
		184	+ x={0}
		185	+ y={18 + di * (cell + gap)}
		186	+ width={cell}
		187	+ height={cell}
		188	+ rx={2}
		189	+ fill={c ? seqColor(c.completeness ?? (c.bars > 0 ? 1 : 0)) : "var(--surface-2)"}
		190	+ stroke={hover?.session_date === date ? "var(--ink-1)" : "none"}
		191	+ strokeWidth={1.5}
		192	+ tabIndex={c ? 0 : -1}
		193	+ onMouseEnter={() => c && setHover(c)}
		194	+ onFocus={() => c && setHover(c)}
		195	+ onMouseLeave={() => setHover(null)}
		196	+ onBlur={() => setHover(null)}
		197	+ >
		198	+ <title>{c ? `${date}: ${fmtPct(c.completeness)} · ${fmtInt(c.symbols)} symbols · ${fmtInt(c.bars)} bars` : `${date}: no data`}</title>
		199	+ </rect>
		200	+ );
		201	+ })}
		202	+ </g>
		203	+ );
		204	+ })}
		205	+ </svg>
		206	+ </div>
		207	+ <div className="mt-2 flex flex-wrap items-center justify-between gap-2 text-xs text-ink-3">
		208	+ <div className="flex items-center gap-1">
		209	+ <span>0 %</span>
		210	+ {SEQ.map((s) => (
		211	+ <span key={s} className="inline-block h-3 w-3 rounded-sm" style={{ background: `var(${s})` }} aria-hidden />
		212	+ ))}
		213	+ <span>100 %</span>
		214	+ <span className="ml-2 inline-block h-3 w-3 rounded-sm bg-surface-2 border border-hairline" aria-hidden /> <span>no data</span>
		215	+ </div>
		216	+ <div className="tnum min-h-[1.2em]">
		217	+ {hover ? (
		218	+ <>
		219	+ <span className="font-medium text-ink-1">{hover.session_date}</span> · {fmtPct(hover.completeness)} · {fmtInt(hover.symbols)} symbols · {fmtCompact(hover.bars)} bars
		220	+ </>
		221	+ ) : (
		222	+ "hover a cell"
		223	+ )}
		224	+ </div>
		225	+ </div>
		226	+ </div>
		227	+ );
		228	+}
		229	+
		230	+// ---------------------------------------------------------------- meter (storage gauge)
		231	+export function Meter({ value, max, marks = [], tone = "accent", label, className }: { value: number; max: number; marks?: { at: number; label: string }[]; tone?: "accent" | "warn" | "crit" | "ok"; label?: string; className?: string }) {
		232	+ const pct = max > 0 ? Math.max(0, Math.min(1, value / max)) : 0;
		233	+ const fill = { accent: "var(--accent)", warn: "var(--warn)", crit: "var(--crit)", ok: "var(--ok)" }[tone];
		234	+ const track = { accent: "var(--accent-soft)", warn: "var(--warn-soft)", crit: "var(--crit-soft)", ok: "var(--ok-soft)" }[tone];
		235	+ return (
		236	+ <div className={clsx("relative", className)} role="meter" aria-valuenow={value} aria-valuemin={0} aria-valuemax={max} aria-label={label}>
		237	+ <div className="h-3 w-full overflow-hidden rounded-full" style={{ background: track }}>
		238	+ <div className="h-full rounded-full" style={{ width: `${pct * 100}%`, background: fill }} />
		239	+ </div>
		240	+ {marks.map((m) => {
		241	+ const x = max > 0 ? Math.max(0, Math.min(1, m.at / max)) : 0;
		242	+ return (
		243	+ <div key={m.label} className="absolute top-[-4px] flex flex-col items-center" style={{ left: `${x * 100}%`, transform: "translateX(-50%)" }}>
		244	+ <div className="h-5 w-px bg-ink-2" />
		245	+ <div className="mt-0.5 whitespace-nowrap text-[10px] text-ink-3">{m.label}</div>
		246	+ </div>
		247	+ );
		248	+ })}
		249	+ </div>
		250	+ );
		251	+}
		252	+
		253	+// ---------------------------------------------------------------- segmented bar (one whole split in parts)
		254	+export function SegmentedBar({ parts, total, height = 8 }: { parts: { label: string; value: number; color: string }[]; total?: number; height?: number }) {
		255	+ const sum = total ?? parts.reduce((a, p) => a + p.value, 0);
		256	+ if (sum <= 0) return <div className="h-2 w-full rounded-full bg-surface-3" />;
		257	+ return (
		258	+ <div>
		259	+ <div className="flex w-full gap-0.5 overflow-hidden rounded-full" style={{ height }}>
		260	+ {parts.filter((p) => p.value > 0).map((p) => (
		261	+ <div key={p.label} style={{ width: `${(p.value / sum) * 100}%`, background: p.color }} title={`${p.label}: ${fmtPct(p.value / sum)}`} />
		262	+ ))}
		263	+ </div>
		264	+ <ul className="mt-2 flex flex-wrap gap-x-4 gap-y-1 text-xs text-ink-2">
		265	+ {parts.map((p) => (
		266	+ <li key={p.label} className="flex items-center gap-1.5">
		267	+ <span className="inline-block h-2.5 w-2.5 rounded-sm" style={{ background: p.color }} aria-hidden />
		268	+ {p.label}
		269	+ </li>
		270	+ ))}
		271	+ </ul>
		272	+ </div>
		273	+ );
		274	+}

added apps/web/src/components/nav.ts +32 −0

				@@ -0,0 +1,32 @@
		1	+import {
		2	+ Activity, BarChart3, BookOpen, CalendarRange, Database, Download, FileSearch, HardDrive,
		3	+ KeyRound, LayoutDashboard, ListTree, ScrollText, Settings, ShieldCheck, Terminal, type LucideIcon,
		4	+} from "lucide-react";
		5	+
		6	+export interface NavItem {
		7	+ href: string;
		8	+ label: string;
		9	+ icon: LucideIcon;
		10	+ owner?: boolean; // owner/admin only
		11	+ group: "data" | "ops" | "system";
		12	+}
		13	+
		14	+export const NAV: NavItem[] = [
		15	+ { href: "/", label: "Overview", icon: LayoutDashboard, group: "data" },
		16	+ { href: "/datasets/", label: "Datasets", icon: Database, group: "data" },
		17	+ { href: "/symbols/", label: "Symbols", icon: ListTree, group: "data" },
		18	+ { href: "/coverage/", label: "Coverage", icon: CalendarRange, group: "data" },
		19	+ { href: "/bars/", label: "Bars", icon: BarChart3, group: "data" },
		20	+ { href: "/fundamentals/", label: "Fundamentals", icon: FileSearch, group: "data" },
		21	+ { href: "/playground/", label: "SQL playground", icon: Terminal, group: "data" },
		22	+ { href: "/exports/", label: "Exports", icon: Download, group: "data" },
		23	+ { href: "/quality/", label: "Quality", icon: ShieldCheck, group: "ops" },
		24	+ { href: "/ingestion/", label: "Ingestion", icon: Activity, group: "ops", owner: true },
		25	+ { href: "/storage/", label: "Storage", icon: HardDrive, group: "ops", owner: true },
		26	+ { href: "/keys/", label: "API keys", icon: KeyRound, group: "system", owner: true },
		27	+ { href: "/audit/", label: "Audit log", icon: ScrollText, group: "system", owner: true },
		28	+ { href: "/settings/", label: "Settings", icon: Settings, group: "system" },
		29	+ { href: "/docs/", label: "Docs", icon: BookOpen, group: "system" },
		30	+];
		31	+
		32	+export const MOBILE_TABS = ["/", "/datasets/", "/bars/", "/ingestion/", "/exports/"];

added apps/web/src/components/ui.tsx +220 −0

				@@ -0,0 +1,220 @@
		1	+"use client";
		2	+import clsx from "clsx";
		3	+import { AlertTriangle, CheckCircle2, CircleDashed, Info, XCircle, type LucideIcon } from "lucide-react";
		4	+import Link from "next/link";
		5	+import type { ReactNode } from "react";
		6	+import { isApiError } from "@/lib/api";
		7	+
		8	+// ---------------------------------------------------------------- page header
		9	+export function PageHeader({ title, subtitle, actions }: { title: string; subtitle?: ReactNode; actions?: ReactNode }) {
		10	+ return (
		11	+ <div className="mb-4 flex flex-col gap-2 sm:flex-row sm:items-end sm:justify-between">
		12	+ <div>
		13	+ <h1 className="section-title">{title}</h1>
		14	+ {subtitle && <p className="mt-0.5 text-sm text-ink-2">{subtitle}</p>}
		15	+ </div>
		16	+ {actions && <div className="flex flex-wrap items-center gap-2">{actions}</div>}
		17	+ </div>
		18	+ );
		19	+}
		20	+
		21	+export function Card({ title, children, className, actions, id }: { title?: ReactNode; children: ReactNode; className?: string; actions?: ReactNode; id?: string }) {
		22	+ return (
		23	+ <section className={clsx("card", className)} id={id}>
		24	+ {(title || actions) && (
		25	+ <div className="card-title">
		26	+ <div>{title}</div>
		27	+ {actions && <div className="flex items-center gap-2">{actions}</div>}
		28	+ </div>
		29	+ )}
		30	+ {children}
		31	+ </section>
		32	+ );
		33	+}
		34	+
		35	+// ---------------------------------------------------------------- status badge
		36	+type Tone = "ok" | "warn" | "serious" | "crit" | "neutral" | "accent";
		37	+
		38	+const TONE: Record<Tone, string> = {
		39	+ ok: "bg-ok-soft text-ok-ink",
		40	+ warn: "bg-warn-soft text-warn-ink",
		41	+ serious: "bg-serious-soft text-serious-ink",
		42	+ crit: "bg-crit-soft text-crit-ink",
		43	+ neutral: "bg-surface-2 text-ink-2",
		44	+ accent: "bg-accent-soft text-accent-ink",
		45	+};
		46	+const TONE_ICON: Record<Tone, LucideIcon> = { ok: CheckCircle2, warn: AlertTriangle, serious: AlertTriangle, crit: XCircle, neutral: CircleDashed, accent: Info };
		47	+
		48	+export function toneFor(status: string | null | undefined): Tone {
		49	+ switch ((status ?? "").toLowerCase()) {
		50	+ case "ok":
		51	+ case "active":
		52	+ case "succeeded":
		53	+ case "ready":
		54	+ case "running":
		55	+ case "verified":
		56	+ case "allowed":
		57	+ case "success":
		58	+ return status?.toLowerCase() === "running" ? "accent" : "ok";
		59	+ case "warning":
		60	+ case "planned":
		61	+ case "queued":
		62	+ case "paused":
		63	+ case "pending_configuration":
		64	+ case "pending":
		65	+ case "stale":
		66	+ case "expired":
		67	+ case "cancelled":
		68	+ return "warn";
		69	+ case "degraded":
		70	+ case "failed":
		71	+ case "error":
		72	+ case "dead":
		73	+ case "denied":
		74	+ case "unsupported":
		75	+ case "critical":
		76	+ return "crit";
		77	+ case "serious":
		78	+ case "high":
		79	+ return "serious";
		80	+ default:
		81	+ return "neutral";
		82	+ }
		83	+}
		84	+
		85	+export function StatusBadge({ status, label, icon = true, className }: { status: string | null | undefined; label?: string; icon?: boolean; className?: string }) {
		86	+ const tone = toneFor(status);
		87	+ const Icon = TONE_ICON[tone];
		88	+ const text = label ?? (status ?? "unknown").replace(/_/g, " ");
		89	+ return (
		90	+ <span className={clsx("pill", TONE[tone], className)}>
		91	+ {icon && <Icon className="h-3 w-3" aria-hidden />}
		92	+ {text}
		93	+ </span>
		94	+ );
		95	+}
		96	+
		97	+export function SeverityBadge({ severity }: { severity: string | null | undefined }) {
		98	+ const s = (severity ?? "").toLowerCase();
		99	+ const tone: Tone = s === "error" || s === "critical" || s === "high" ? "crit" : s === "warning" || s === "medium" ? "warn" : s === "info" || s === "low" ? "accent" : "neutral";
		100	+ const Icon = TONE_ICON[tone];
		101	+ return (
		102	+ <span className={clsx("pill", TONE[tone])}>
		103	+ <Icon className="h-3 w-3" aria-hidden />
		104	+ {s || "—"}
		105	+ </span>
		106	+ );
		107	+}
		108	+
		109	+// ---------------------------------------------------------------- KPI tile
		110	+export function KpiTile({ label, value, sub, tone, href, className }: { label: string; value: ReactNode; sub?: ReactNode; tone?: Tone; href?: string; className?: string }) {
		111	+ const body = (
		112	+ <>
		113	+ <div className="text-xs text-ink-2">{label}</div>
		114	+ <div className={clsx("mt-1 text-2xl font-semibold tracking-tight", tone === "crit" ? "text-crit-ink" : tone === "warn" ? "text-warn-ink" : tone === "ok" ? "text-ok-ink" : "text-ink-1")}>
		115	+ {value}
		116	+ </div>
		117	+ {sub && <div className="mt-0.5 text-xs text-ink-3">{sub}</div>}
		118	+ </>
		119	+ );
		120	+ const cls = clsx("card min-w-0", href && "transition hover:border-accent/60", className);
		121	+ return href ? (
		122	+ <Link href={href} className={cls}>
		123	+ {body}
		124	+ </Link>
		125	+ ) : (
		126	+ <div className={cls}>{body}</div>
		127	+ );
		128	+}
		129	+
		130	+// ---------------------------------------------------------------- misc
		131	+export function Banner({ tone = "accent", children, className }: { tone?: Tone; children: ReactNode; className?: string }) {
		132	+ const Icon = TONE_ICON[tone];
		133	+ const border = { ok: "border-ok/50", warn: "border-warn/60", serious: "border-serious/60", crit: "border-crit/60", neutral: "border-border", accent: "border-accent/40" }[tone];
		134	+ return (
		135	+ <div className={clsx("banner flex items-start gap-2", TONE[tone].split(" ")[0], border, className)}>
		136	+ <Icon className="mt-0.5 h-4 w-4 shrink-0" aria-hidden />
		137	+ <div className="min-w-0 flex-1">{children}</div>
		138	+ </div>
		139	+ );
		140	+}
		141	+
		142	+export function ErrorState({ error, retry }: { error: unknown; retry?: () => void }) {
		143	+ const msg = isApiError(error) ? `${error.message} (${error.code}, HTTP ${error.status})` : error instanceof Error ? error.message : "Unknown error";
		144	+ const rid = isApiError(error) ? error.request_id : null;
		145	+ const forbidden = isApiError(error) && error.status === 403;
		146	+ return (
		147	+ <div className="banner flex items-start gap-2 border-crit/60 bg-crit-soft text-crit-ink">
		148	+ <XCircle className="mt-0.5 h-4 w-4 shrink-0" aria-hidden />
		149	+ <div className="min-w-0 flex-1">
		150	+ <div className="font-medium">{forbidden ? "Not allowed" : "Could not load"}</div>
		151	+ <div className="text-xs break-words">{msg}</div>
		152	+ {rid && <div className="mt-0.5 font-mono text-[11px] opacity-80">request_id {rid}</div>}
		153	+ </div>
		154	+ {retry && (
		155	+ <button className="btn btn-sm" onClick={retry}>
		156	+ Retry
		157	+ </button>
		158	+ )}
		159	+ </div>
		160	+ );
		161	+}
		162	+
		163	+export function Empty({ children = "Nothing here yet." }: { children?: ReactNode }) {
		164	+ return <div className="rounded-md border border-dashed border-border p-6 text-center text-sm text-ink-3">{children}</div>;
		165	+}
		166	+
		167	+export function Skeleton({ rows = 4, className }: { rows?: number; className?: string }) {
		168	+ return (
		169	+ <div className={clsx("flex flex-col gap-2", className)} aria-busy="true" aria-label="Loading">
		170	+ {Array.from({ length: rows }).map((_, i) => (
		171	+ <div key={i} className="skeleton h-4" style={{ width: `${90 - (i % 3) * 15}%` }} />
		172	+ ))}
		173	+ </div>
		174	+ );
		175	+}
		176	+
		177	+export function Field({ label, children, hint, className }: { label: string; children: ReactNode; hint?: ReactNode; className?: string }) {
		178	+ return (
		179	+ <label className={clsx("block min-w-0", className)}>
		180	+ <span className="label">{label}</span>
		181	+ {children}
		182	+ {hint && <span className="mt-0.5 block text-[11px] text-ink-3">{hint}</span>}
		183	+ </label>
		184	+ );
		185	+}
		186	+
		187	+export function KV({ items, className }: { items: [ReactNode, ReactNode][]; className?: string }) {
		188	+ return (
		189	+ <dl className={clsx("grid grid-cols-[auto_1fr] gap-x-4 gap-y-1.5 text-sm", className)}>
		190	+ {items.map(([k, v], i) => (
		191	+ <div key={i} className="contents">
		192	+ <dt className="text-ink-2 whitespace-nowrap">{k}</dt>
		193	+ <dd className="min-w-0 break-words text-ink-1">{v ?? "—"}</dd>
		194	+ </div>
		195	+ ))}
		196	+ </dl>
		197	+ );
		198	+}
		199	+
		200	+export function Mono({ children, className }: { children: ReactNode; className?: string }) {
		201	+ return <span className={clsx("font-mono text-[12.5px]", className)}>{children}</span>;
		202	+}
		203	+
		204	+export function Tabs<T extends string>({ value, onChange, items }: { value: T; onChange: (v: T) => void; items: { value: T; label: string }[] }) {
		205	+ return (
		206	+ <div role="tablist" className="inline-flex rounded-md border border-border bg-surface-2 p-0.5">
		207	+ {items.map((it) => (
		208	+ <button
		209	+ key={it.value}
		210	+ role="tab"
		211	+ aria-selected={value === it.value}
		212	+ className={clsx("rounded px-2.5 py-1 text-xs font-medium", value === it.value ? "bg-surface-1 text-ink-1 shadow-sm" : "text-ink-2 hover:text-ink-1")}
		213	+ onClick={() => onChange(it.value)}
		214	+ >
		215	+ {it.label}
		216	+ </button>
		217	+ ))}
		218	+ </div>
		219	+ );
		220	+}

added apps/web/src/lib/api.ts +462 −0

				@@ -0,0 +1,462 @@
		1	+/**
		2	+ * Fetch wrapper for the FinData OS API (same origin, prefix /api/v1).
		3	+ * - cookie session (`credentials: same-origin`)
		4	+ * - X-CSRF-Token on every non-GET request (kept in memory + sessionStorage)
		5	+ * - error normalization: throws ApiError {code, message, request_id, status, extra}
		6	+ */
		7	+export const API_PREFIX = "/api/v1";
		8	+
		9	+const CSRF_KEY = "findata.csrf";
		10	+let csrfToken: string | null = null;
		11	+
		12	+export function getCsrf(): string | null {
		13	+ if (csrfToken) return csrfToken;
		14	+ if (typeof window !== "undefined") {
		15	+ try {
		16	+ csrfToken = window.sessionStorage.getItem(CSRF_KEY);
		17	+ } catch {
		18	+ csrfToken = null;
		19	+ }
		20	+ }
		21	+ return csrfToken;
		22	+}
		23	+
		24	+export function setCsrf(token: string | null | undefined) {
		25	+ csrfToken = token ?? null;
		26	+ if (typeof window === "undefined") return;
		27	+ try {
		28	+ if (token) window.sessionStorage.setItem(CSRF_KEY, token);
		29	+ else window.sessionStorage.removeItem(CSRF_KEY);
		30	+ } catch {
		31	+ /* storage unavailable */
		32	+ }
		33	+}
		34	+
		35	+export class ApiError extends Error {
		36	+ code: string;
		37	+ status: number;
		38	+ request_id: string | null;
		39	+ extra: Record<string, unknown>;
		40	+ constructor(status: number, code: string, message: string, request_id: string | null, extra: Record<string, unknown> = {}) {
		41	+ super(message);
		42	+ this.name = "ApiError";
		43	+ this.status = status;
		44	+ this.code = code;
		45	+ this.request_id = request_id;
		46	+ this.extra = extra;
		47	+ }
		48	+}
		49	+
		50	+export function isApiError(e: unknown): e is ApiError {
		51	+ return e instanceof ApiError;
		52	+}
		53	+
		54	+export type Query = Record<string, string | number | boolean | null | undefined>;
		55	+
		56	+export function qs(params?: Query): string {
		57	+ if (!params) return "";
		58	+ const u = new URLSearchParams();
		59	+ for (const [k, v] of Object.entries(params)) {
		60	+ if (v === undefined || v === null || v === "") continue;
		61	+ u.set(k, String(v));
		62	+ }
		63	+ const s = u.toString();
		64	+ return s ? `?${s}` : "";
		65	+}
		66	+
		67	+interface RequestOptions {
		68	+ method?: "GET" | "POST" | "PUT" | "DELETE" | "PATCH";
		69	+ body?: unknown;
		70	+ params?: Query;
		71	+ signal?: AbortSignal;
		72	+}
		73	+
		74	+async function parseError(res: Response): Promise<ApiError> {
		75	+ let payload: unknown = null;
		76	+ try {
		77	+ payload = await res.json();
		78	+ } catch {
		79	+ /* not JSON */
		80	+ }
		81	+ const err = (payload as { error?: Record<string, unknown> } | null)?.error;
		82	+ if (err && typeof err === "object") {
		83	+ const { code, message, request_id, ...extra } = err as Record<string, unknown>;
		84	+ return new ApiError(res.status, String(code ?? "http_error"), String(message ?? res.statusText), (request_id as string) ?? null, extra);
		85	+ }
		86	+ return new ApiError(res.status, "http_error", res.statusText || `HTTP ${res.status}`, res.headers.get("x-request-id"));
		87	+}
		88	+
		89	+export async function request<T>(path: string, opts: RequestOptions = {}): Promise<T> {
		90	+ const method = opts.method ?? "GET";
		91	+ const headers: Record<string, string> = { Accept: "application/json" };
		92	+ if (opts.body !== undefined) headers["Content-Type"] = "application/json";
		93	+ if (method !== "GET") {
		94	+ const t = getCsrf();
		95	+ if (t) headers["X-CSRF-Token"] = t;
		96	+ }
		97	+ const url = (path.startsWith("/api/") ? path : API_PREFIX + path) + qs(opts.params);
		98	+ const res = await fetch(url, {
		99	+ method,
		100	+ headers,
		101	+ credentials: "same-origin",
		102	+ body: opts.body !== undefined ? JSON.stringify(opts.body) : undefined,
		103	+ signal: opts.signal,
		104	+ });
		105	+ if (!res.ok) throw await parseError(res);
		106	+ if (res.status === 204) return undefined as T;
		107	+ const text = await res.text();
		108	+ if (!text) return undefined as T;
		109	+ return JSON.parse(text) as T;
		110	+}
		111	+
		112	+export const api = {
		113	+ get: <T>(path: string, params?: Query, signal?: AbortSignal) => request<T>(path, { params, signal }),
		114	+ post: <T>(path: string, body?: unknown, params?: Query) => request<T>(path, { method: "POST", body, params }),
		115	+ put: <T>(path: string, body?: unknown) => request<T>(path, { method: "PUT", body }),
		116	+ del: <T>(path: string) => request<T>(path, { method: "DELETE" }),
		117	+};
		118	+
		119	+// ---------------------------------------------------------------- types (mirroring the FastAPI routers)
		120	+
		121	+export interface Me {
		122	+ kind: "user" | "api_key" | "anonymous";
		123	+ email: string | null;
		124	+ role: string | null;
		125	+ scopes: string[];
		126	+ mfa_passed: boolean;
		127	+ totp_enabled: boolean | null;
		128	+ csrf_token: string | null;
		129	+}
		130	+
		131	+export interface LoginOut {
		132	+ ok: boolean;
		133	+ mfa_required: boolean;
		134	+ csrf_token: string;
		135	+ email: string;
		136	+ role: string;
		137	+}
		138	+
		139	+export interface HealthAlert {
		140	+ severity: "info" | "warning" | "error";
		141	+ code: string;
		142	+ message: string;
		143	+}
		144	+
		145	+export interface HealthReport {
		146	+ status: "ok" | "warning" | "degraded";
		147	+ checked_at?: string;
		148	+ alerts: HealthAlert[];
		149	+ components: {
		150	+ postgres?: string;
		151	+ lake?: { root: string; free_gb: number; curated_gb: number; raw_gb: number; soft_limit_gb: number; hard_min_free_gb: number };
		152	+ ingest_worker?: string;
		153	+ backup?: { last: string | null; age_hours?: number; verified?: boolean | null };
		154	+ ssd_smart?: string;
		155	+ };
		156	+ datasets?: {
		157	+ dataset_id: string;
		158	+ version: number | null;
		159	+ last_session: string | null;
		160	+ days_since_last_session: number | null;
		161	+ vendor_last_update: string | null;
		162	+ vendor_lag_days: number | null;
		163	+ }[];
		164	+}
		165	+
		166	+export interface HealthSummary {
		167	+ datasets: { active: number; planned: number; unsupported: number; pending: number };
		168	+ instruments: { n: number; active: number };
		169	+ bars_1m: { symbols: number; sessions: number; bars: number | null; last: string | null };
		170	+ jobs: Record<string, number>;
		171	+ recent_jobs: Job[];
		172	+ fundamentals: { entities: number; facts: number };
		173	+ anomalies_7d: Record<string, number>;
		174	+ health: HealthReport;
		175	+}
		176	+
		177	+export type DatasetStatus = "active" | "planned" | "pending_configuration" | "unsupported" | "paused";
		178	+
		179	+export interface Dataset {
		180	+ id: string;
		181	+ name: string;
		182	+ description: string | null;
		183	+ kind: string;
		184	+ asset_class: string | null;
		185	+ interval: string | null;
		186	+ adjustment: string | null;
		187	+ license_class: string;
		188	+ license_text: string;
		189	+ status: DatasetStatus;
		190	+ timestamp_convention: string | null;
		191	+ timezone: string | null;
		192	+ current_version: number | null;
		193	+ snapshot_id?: string | null;
		194	+ file_count?: number | null;
		195	+ row_count?: number | null;
		196	+ bytes?: number | null;
		197	+ version_created_at?: string | null;
		198	+ first_session?: string | null;
		199	+ last_session?: string | null;
		200	+ symbols?: number | null;
		201	+ source_name?: string;
		202	+ source_id?: string;
		203	+ vendor?: string;
		204	+ product?: string;
		205	+ notes?: string | null;
		206	+ [k: string]: unknown;
		207	+}
		208	+
		209	+export interface DatasetVersion {
		210	+ version: number;
		211	+ snapshot_id: string | null;
		212	+ file_count: number | null;
		213	+ row_count: number | null;
		214	+ bytes: number | null;
		215	+ created_at: string;
		216	+ note: string | null;
		217	+}
		218	+
		219	+export interface DatasetDetail {
		220	+ data: Dataset;
		221	+ versions: DatasetVersion[];
		222	+ files: { layout: string; n: number; rows: number | null; bytes: number | null; d0: string | null; d1: string | null }[];
		223	+ checkpoints: { key: string; value: unknown; updated_at: string }[];
		224	+}
		225	+
		226	+export interface Instrument {
		227	+ instrument_id: string;
		228	+ symbol: string;
		229	+ name: string | null;
		230	+ asset_class: string;
		231	+ status: string;
		232	+ first_date: string | null;
		233	+ last_date: string | null;
		234	+ currency: string | null;
		235	+ [k: string]: unknown;
		236	+}
		237	+
		238	+export interface InstrumentDetail {
		239	+ instrument: Instrument | null;
		240	+ aliases: Record<string, unknown>[];
		241	+ corporate_actions: { action_type: string; ex_date: string; value: unknown }[];
		242	+ coverage: { dataset_id: string; sessions: number; d0: string; d1: string; bars: number }[];
		243	+ fundamentals: { facts: number; last_period: string | null; last_filing: string | null } | null;
		244	+}
		245	+
		246	+export interface Bar {
		247	+ timestamp_utc: string;
		248	+ session_date: string;
		249	+ open: number;
		250	+ high: number;
		251	+ low: number;
		252	+ close: number;
		253	+ volume: number;
		254	+ vwap?: number | null;
		255	+ trade_count?: number | null;
		256	+ quality_flags: string[];
		257	+ adjustment_type?: string;
		258	+ revision_id?: number;
		259	+ [k: string]: unknown;
		260	+}
		261	+
		262	+export interface BarsOut {
		263	+ data: Bar[];
		264	+ meta: {
		265	+ symbol: string;
		266	+ interval: string;
		267	+ adjustment: string;
		268	+ start: string;
		269	+ end: string;
		270	+ rows: number;
		271	+ rows_matching: number;
		272	+ adjustment_notes: string[];
		273	+ timestamp_convention: string;
		274	+ license: string;
		275	+ version?: number;
		276	+ files_scanned?: number;
		277	+ [k: string]: unknown;
		278	+ };
		279	+ next_cursor: string | null;
		280	+}
		281	+
		282	+export interface SessionRow {
		283	+ session_date: string;
		284	+ bar_count: number;
		285	+ expected_bars: number | null;
		286	+ first_ts: string | null;
		287	+ last_ts: string | null;
		288	+ flags: string[] | null;
		289	+ symbol?: string;
		290	+}
		291	+
		292	+export interface Heatmap {
		293	+ sessions: { session_date: string; symbols: number; bars: number; completeness: number | null; non_trading_rows: number }[];
		294	+ top_symbols: { symbol: string; sessions: number; bars: number; completeness: number | null }[];
		295	+ meta: { dataset_id: string; start: string; end: string };
		296	+}
		297	+
		298	+export interface QualityOut {
		299	+ latest: Record<string, unknown> | null;
		300	+ anomalies_by_code_30d: { code: string; severity: string; n: number; rows: number | null }[];
		301	+ reports: { id: string; created_at: string; rows_checked: number; anomalies: number; summary: unknown }[];
		302	+ codes: Record<string, string>;
		303	+}
		304	+
		305	+export interface Anomaly {
		306	+ id?: string;
		307	+ code: string;
		308	+ severity: string;
		309	+ symbol: string | null;
		310	+ session_date?: string | null;
		311	+ detail: Record<string, unknown> | null;
		312	+ created_at: string;
		313	+ [k: string]: unknown;
		314	+}
		315	+
		316	+export interface QueryOut {
		317	+ columns: { name: string; type: string }[];
		318	+ rows: Record<string, unknown>[];
		319	+ meta: { truncated?: boolean; rows: number; elapsed_ms: number; views: string[]; engine: string; [k: string]: unknown };
		320	+}
		321	+
		322	+export interface ExportRow {
		323	+ id: string;
		324	+ status: "queued" | "running" | "ready" | "failed" | "expired";
		325	+ request: { dataset_id: string; symbols: string[]; start: string; end: string; adjustment: string; format: string; version?: number };
		326	+ format: string;
		327	+ bytes: number | null;
		328	+ row_count: number | null;
		329	+ created_at: string;
		330	+ finished_at: string | null;
		331	+ expires_at: string | null;
		332	+ error: string | null;
		333	+ snapshot: unknown;
		334	+ download?: string;
		335	+}
		336	+
		337	+export interface Fact {
		338	+ entity_id: string;
		339	+ metric: string;
		340	+ value: number | null;
		341	+ unit: string;
		342	+ currency: string | null;
		343	+ fiscal_period_start: string | null;
		344	+ fiscal_period_end: string;
		345	+ fiscal_period_type: string;
		346	+ fiscal_year: number | null;
		347	+ fiscal_period: string | null;
		348	+ filing_date: string | null;
		349	+ published_at: string | null;
		350	+ available_at: string;
		351	+ observed_at: string;
		352	+ source_document: string | null;
		353	+ source_id: string;
		354	+ revision_id: number;
		355	+ restatement_flag: boolean;
		356	+ superseded_at: string | null;
		357	+}
		358	+
		359	+export interface FundamentalsOut {
		360	+ data: Fact[];
		361	+ entity: Record<string, unknown> | null;
		362	+ meta: { as_of: string; rows: number; facts_hidden_by_as_of: number; pit_policy: string; license: string };
		363	+}
		364	+
		365	+export interface PeriodsOut {
		366	+ periods: {
		367	+ fiscal_period_end: string;
		368	+ fiscal_period_type: string;
		369	+ fiscal_year: number | null;
		370	+ fiscal_period: string | null;
		371	+ filing_date: string | null;
		372	+ available_at: string;
		373	+ metrics: number;
		374	+ max_revision: number;
		375	+ restated: boolean;
		376	+ }[];
		377	+ earnings: { event_date: string; eps_estimate: number | null; eps_reported: number | null; release_time: string | null }[];
		378	+}
		379	+
		380	+export interface Job {
		381	+ id: string;
		382	+ kind: string;
		383	+ dataset_id: string | null;
		384	+ params?: Record<string, unknown>;
		385	+ priority?: number;
		386	+ status: string;
		387	+ attempts?: number;
		388	+ max_attempts?: number;
		389	+ next_run_at?: string | null;
		390	+ created_at?: string;
		391	+ started_at: string | null;
		392	+ finished_at: string | null;
		393	+ last_error: string | null;
		394	+ progress?: Record<string, unknown> | null;
		395	+ result?: Record<string, unknown> | null;
		396	+ created_by?: string | null;
		397	+}
		398	+
		399	+export interface ApiKey {
		400	+ id: string;
		401	+ name: string;
		402	+ prefix: string;
		403	+ scopes: string[];
		404	+ rate_limit_per_minute: number;
		405	+ expires_at: string | null;
		406	+ last_used_at: string | null;
		407	+ revoked_at: string | null;
		408	+ created_at: string;
		409	+ email: string;
		410	+}
		411	+
		412	+export interface UsageRow {
		413	+ principal: string;
		414	+ day: string;
		415	+ requests: number;
		416	+ rows_returned: number;
		417	+ bytes_exported: number;
		418	+}
		419	+
		420	+export interface AuditRow {
		421	+ id?: string;
		422	+ at: string;
		423	+ action: string;
		424	+ actor?: string | null;
		425	+ principal?: string | null;
		426	+ target?: string | null;
		427	+ outcome?: string | null;
		428	+ ip?: string | null;
		429	+ request_id?: string | null;
		430	+ detail?: Record<string, unknown> | null;
		431	+ [k: string]: unknown;
		432	+}
		433	+
		434	+export interface StorageOut {
		435	+ lake_root: string;
		436	+ volume: { total_gb: number; free_gb: number };
		437	+ budget: { soft_limit_gb: number; hard_min_free_gb: number };
		438	+ curated_bytes: number;
		439	+ raw_bytes: number;
		440	+ retired_bytes: number;
		441	+ exports_bytes: number;
		442	+ per_dataset: { dataset_id: string; layout: string; files: number; bytes: number | null; rows: number | null }[];
		443	+ raw_archives: { status: string; n: number; bytes: number | null }[];
		444	+ exports: { status: string; n: number; bytes: number }[];
		445	+ retired_files: { n: number; bytes: number };
		446	+ postgres_bytes: number;
		447	+ last_backup: { value: Record<string, unknown>; updated_at: string } | null;
		448	+ capacity_model: { bytes_per_1m_bar_curated: number; note: string };
		449	+}
		450	+
		451	+export interface SettingsOut {
		452	+ settings: { key: string; value: unknown; updated_at: string }[];
		453	+ env: {
		454	+ env: string;
		455	+ lake: string;
		456	+ public_url: string;
		457	+ backup_target: string;
		458	+ vendor_configured: boolean;
		459	+ sec_edgar_configured: boolean;
		460	+ ai_providers: { anthropic: boolean; openai: boolean };
		461	+ };
		462	+}

added apps/web/src/lib/auth.tsx +99 −0

				@@ -0,0 +1,99 @@
		1	+"use client";
		2	+import { createContext, useCallback, useContext, useEffect, useMemo, useState, type ReactNode } from "react";
		3	+import { usePathname, useRouter } from "next/navigation";
		4	+import { api, isApiError, setCsrf, type Me } from "./api";
		5	+
		6	+interface AuthState {
		7	+ me: Me | null;
		8	+ loading: boolean;
		9	+ refresh: () => Promise<Me | null>;
		10	+ logout: () => Promise<void>;
		11	+ isOwner: boolean;
		12	+ hasScope: (s: string) => boolean;
		13	+}
		14	+
		15	+const Ctx = createContext<AuthState | null>(null);
		16	+
		17	+const PUBLIC_PATHS = ["/login"];
		18	+
		19	+function isPublic(path: string | null): boolean {
		20	+ if (!path) return false;
		21	+ const p = path.replace(/\/+$/, "") || "/";
		22	+ return PUBLIC_PATHS.includes(p);
		23	+}
		24	+
		25	+export function AuthProvider({ children }: { children: ReactNode }) {
		26	+ const [me, setMe] = useState<Me | null>(null);
		27	+ const [loading, setLoading] = useState(true);
		28	+ const pathname = usePathname();
		29	+ const router = useRouter();
		30	+
		31	+ const refresh = useCallback(async (): Promise<Me | null> => {
		32	+ try {
		33	+ const m = await api.get<Me>("/auth/me");
		34	+ setCsrf(m.csrf_token);
		35	+ setMe(m);
		36	+ return m;
		37	+ } catch (e) {
		38	+ if (isApiError(e) && e.status === 401) {
		39	+ setCsrf(null);
		40	+ setMe(null);
		41	+ return null;
		42	+ }
		43	+ // network/other error: keep previous state, but stop loading
		44	+ setMe(null);
		45	+ return null;
		46	+ } finally {
		47	+ setLoading(false);
		48	+ }
		49	+ }, []);
		50	+
		51	+ useEffect(() => {
		52	+ void refresh();
		53	+ }, [refresh]);
		54	+
		55	+ // Redirect rules: signed out → /login/ ; MFA pending → /login/ (step 2) ; signed in on /login → /
		56	+ useEffect(() => {
		57	+ if (loading) return;
		58	+ const pub = isPublic(pathname);
		59	+ if (!me && !pub) {
		60	+ const next = pathname && pathname !== "/" ? `?next=${encodeURIComponent(pathname)}` : "";
		61	+ router.replace(`/login/${next}`);
		62	+ } else if (me && !me.mfa_passed && !pub) {
		63	+ router.replace("/login/");
		64	+ } else if (me && me.mfa_passed && pub) {
		65	+ const next = typeof window !== "undefined" ? new URLSearchParams(window.location.search).get("next") : null;
		66	+ router.replace(next && next.startsWith("/") ? next : "/");
		67	+ }
		68	+ }, [loading, me, pathname, router]);
		69	+
		70	+ const logout = useCallback(async () => {
		71	+ try {
		72	+ await api.post("/auth/logout");
		73	+ } catch {
		74	+ /* ignore */
		75	+ }
		76	+ setCsrf(null);
		77	+ setMe(null);
		78	+ router.replace("/login/");
		79	+ }, [router]);
		80	+
		81	+ const value = useMemo<AuthState>(
		82	+ () => ({
		83	+ me,
		84	+ loading,
		85	+ refresh,
		86	+ logout,
		87	+ isOwner: me?.role === "owner" || (me?.scopes ?? []).includes("admin"),
		88	+ hasScope: (s: string) => (me?.scopes ?? []).includes(s) || (me?.scopes ?? []).includes("admin"),
		89	+ }),
		90	+ [me, loading, refresh, logout],
		91	+ );
		92	+ return <Ctx.Provider value={value}>{children}</Ctx.Provider>;
		93	+}
		94	+
		95	+export function useAuth(): AuthState {
		96	+ const c = useContext(Ctx);
		97	+ if (!c) throw new Error("useAuth outside AuthProvider");
		98	+ return c;
		99	+}

added apps/web/src/lib/format.ts +148 −0

				@@ -0,0 +1,148 @@
		1	+/** Formatting helpers — bytes, thin-space grouped numbers, ISO UTC timestamps. */
		2	+
		3	+const THIN = " "; // narrow no-break space
		4	+
		5	+export function fmtInt(n: number | null | undefined): string {
		6	+ if (n === null || n === undefined || Number.isNaN(Number(n))) return "—";
		7	+ const v = Math.round(Number(n));
		8	+ const neg = v < 0;
		9	+ const s = Math.abs(v).toString();
		10	+ const parts: string[] = [];
		11	+ for (let i = s.length; i > 0; i -= 3) parts.unshift(s.slice(Math.max(0, i - 3), i));
		12	+ return (neg ? "-" : "") + parts.join(THIN);
		13	+}
		14	+
		15	+export function fmtNum(n: number | null | undefined, digits = 2): string {
		16	+ if (n === null || n === undefined || Number.isNaN(Number(n))) return "—";
		17	+ const v = Number(n);
		18	+ if (Number.isInteger(v) && digits === 0) return fmtInt(v);
		19	+ const [i, f] = v.toFixed(digits).split(".");
		20	+ return fmtInt(Number(i)) + (f ? "." + f : "");
		21	+}
		22	+
		23	+/** Compact 1 284 / 12.9K / 4.2M / 1.3B */
		24	+export function fmtCompact(n: number | null | undefined): string {
		25	+ if (n === null || n === undefined || Number.isNaN(Number(n))) return "—";
		26	+ const v = Number(n);
		27	+ const a = Math.abs(v);
		28	+ if (a < 10_000) return fmtInt(v);
		29	+ if (a < 1e6) return (v / 1e3).toFixed(1).replace(/\.0$/, "") + "K";
		30	+ if (a < 1e9) return (v / 1e6).toFixed(1).replace(/\.0$/, "") + "M";
		31	+ if (a < 1e12) return (v / 1e9).toFixed(2).replace(/\.?0+$/, "") + "B";
		32	+ return (v / 1e12).toFixed(2).replace(/\.?0+$/, "") + "T";
		33	+}
		34	+
		35	+export function fmtBytes(b: number | null | undefined, digits = 1): string {
		36	+ if (b === null || b === undefined || Number.isNaN(Number(b))) return "—";
		37	+ const v = Number(b);
		38	+ if (v < 1e3) return `${fmtInt(v)} B`;
		39	+ if (v < 1e6) return `${(v / 1e3).toFixed(digits)} kB`;
		40	+ if (v < 1e9) return `${(v / 1e6).toFixed(digits)} MB`;
		41	+ if (v < 1e12) return `${(v / 1e9).toFixed(digits)} GB`;
		42	+ return `${(v / 1e12).toFixed(digits)} TB`;
		43	+}
		44	+
		45	+export function fmtGB(gb: number | null | undefined, digits = 1): string {
		46	+ if (gb === null || gb === undefined) return "—";
		47	+ return `${Number(gb).toFixed(digits)} GB`;
		48	+}
		49	+
		50	+export function fmtPct(x: number | null | undefined, digits = 1): string {
		51	+ if (x === null || x === undefined || Number.isNaN(Number(x))) return "—";
		52	+ return `${(Number(x) * 100).toFixed(digits)} %`;
		53	+}
		54	+
		55	+const pad = (n: number) => String(n).padStart(2, "0");
		56	+
		57	+/** ISO UTC → `YYYY-MM-DD HH:mm:ssZ` */
		58	+export function fmtTs(iso: string | null | undefined): string {
		59	+ if (!iso) return "—";
		60	+ const d = new Date(iso);
		61	+ if (Number.isNaN(d.getTime())) return String(iso);
		62	+ return `${d.getUTCFullYear()}-${pad(d.getUTCMonth() + 1)}-${pad(d.getUTCDate())} ${pad(d.getUTCHours())}:${pad(d.getUTCMinutes())}:${pad(d.getUTCSeconds())}Z`;
		63	+}
		64	+
		65	+/** Short time-of-day `HH:mm` (UTC) */
		66	+export function fmtTime(iso: string | null | undefined): string {
		67	+ if (!iso) return "—";
		68	+ const d = new Date(iso);
		69	+ if (Number.isNaN(d.getTime())) return String(iso);
		70	+ return `${pad(d.getUTCHours())}:${pad(d.getUTCMinutes())}`;
		71	+}
		72	+
		73	+export function fmtDate(iso: string | null | undefined): string {
		74	+ if (!iso) return "—";
		75	+ return String(iso).slice(0, 10);
		76	+}
		77	+
		78	+export function fmtRelative(iso: string | null | undefined): string {
		79	+ if (!iso) return "—";
		80	+ const d = new Date(iso).getTime();
		81	+ if (Number.isNaN(d)) return String(iso);
		82	+ const s = Math.round((Date.now() - d) / 1000);
		83	+ const abs = Math.abs(s);
		84	+ const suffix = s >= 0 ? "ago" : "from now";
		85	+ if (abs < 60) return `${abs} s ${suffix}`;
		86	+ if (abs < 3600) return `${Math.round(abs / 60)} min ${suffix}`;
		87	+ if (abs < 86400) return `${(abs / 3600).toFixed(1)} h ${suffix}`;
		88	+ return `${Math.round(abs / 86400)} d ${suffix}`;
		89	+}
		90	+
		91	+export function fmtDuration(startIso: string | null | undefined, endIso: string | null | undefined): string {
		92	+ if (!startIso) return "—";
		93	+ const a = new Date(startIso).getTime();
		94	+ const b = endIso ? new Date(endIso).getTime() : Date.now();
		95	+ const s = Math.max(0, Math.round((b - a) / 1000));
		96	+ if (s < 60) return `${s} s`;
		97	+ if (s < 3600) return `${Math.floor(s / 60)} min ${s % 60} s`;
		98	+ return `${(s / 3600).toFixed(1)} h`;
		99	+}
		100	+
		101	+export function isoDate(d: Date): string {
		102	+ return `${d.getUTCFullYear()}-${pad(d.getUTCMonth() + 1)}-${pad(d.getUTCDate())}`;
		103	+}
		104	+
		105	+export function daysAgo(n: number): string {
		106	+ const d = new Date();
		107	+ d.setUTCDate(d.getUTCDate() - n);
		108	+ return isoDate(d);
		109	+}
		110	+
		111	+export function today(): string {
		112	+ return isoDate(new Date());
		113	+}
		114	+
		115	+/** datetime-local value (local tz) for `now` */
		116	+export function nowLocalInput(): string {
		117	+ const d = new Date();
		118	+ const off = d.getTimezoneOffset();
		119	+ const local = new Date(d.getTime() - off * 60_000);
		120	+ return local.toISOString().slice(0, 16);
		121	+}
		122	+
		123	+export function toCsv(columns: string[], rows: Record<string, unknown>[]): string {
		124	+ const esc = (v: unknown) => {
		125	+ if (v === null || v === undefined) return "";
		126	+ const s = typeof v === "object" ? JSON.stringify(v) : String(v);
		127	+ return /[",\n\r]/.test(s) ? `"${s.replace(/"/g, '""')}"` : s;
		128	+ };
		129	+ const lines = [columns.map(esc).join(",")];
		130	+ for (const r of rows) lines.push(columns.map((c) => esc(r[c])).join(","));
		131	+ return lines.join("\n");
		132	+}
		133	+
		134	+export function downloadText(filename: string, text: string, mime = "text/csv;charset=utf-8") {
		135	+ const blob = new Blob([text], { type: mime });
		136	+ const url = URL.createObjectURL(blob);
		137	+ const a = document.createElement("a");
		138	+ a.href = url;
		139	+ a.download = filename;
		140	+ document.body.appendChild(a);
		141	+ a.click();
		142	+ a.remove();
		143	+ setTimeout(() => URL.revokeObjectURL(url), 1000);
		144	+}
		145	+
		146	+export function splitList(text: string): string[] {
		147	+ return Array.from(new Set(text.split(/[\s,;]+/).map((s) => s.trim().toUpperCase()).filter(Boolean)));
		148	+}

added apps/web/src/lib/hooks.ts +112 −0

				@@ -0,0 +1,112 @@
		1	+"use client";
		2	+import { useCallback, useEffect, useRef, useState } from "react";
		3	+
		4	+/** Generic async loader with abort + refetch. `deps` re-run the fetch. */
		5	+export function useAsync<T>(fn: (signal: AbortSignal) => Promise<T>, deps: unknown[], opts: { enabled?: boolean } = {}) {
		6	+ const enabled = opts.enabled ?? true;
		7	+ const [data, setData] = useState<T | null>(null);
		8	+ const [error, setError] = useState<unknown>(null);
		9	+ const [loading, setLoading] = useState<boolean>(enabled);
		10	+ const [tick, setTick] = useState(0);
		11	+ const fnRef = useRef(fn);
		12	+ fnRef.current = fn;
		13	+
		14	+ useEffect(() => {
		15	+ if (!enabled) {
		16	+ setLoading(false);
		17	+ return;
		18	+ }
		19	+ const ctl = new AbortController();
		20	+ let alive = true;
		21	+ setLoading(true);
		22	+ fnRef
		23	+ .current(ctl.signal)
		24	+ .then((d) => {
		25	+ if (!alive) return;
		26	+ setData(d);
		27	+ setError(null);
		28	+ })
		29	+ .catch((e) => {
		30	+ if (!alive || ctl.signal.aborted) return;
		31	+ setError(e);
		32	+ })
		33	+ .finally(() => {
		34	+ if (alive) setLoading(false);
		35	+ });
		36	+ return () => {
		37	+ alive = false;
		38	+ ctl.abort();
		39	+ };
		40	+ // eslint-disable-next-line react-hooks/exhaustive-deps
		41	+ }, [...deps, tick, enabled]);
		42	+
		43	+ const reload = useCallback(() => setTick((t) => t + 1), []);
		44	+ return { data, error, loading, reload, setData };
		45	+}
		46	+
		47	+export function useDebounced<T>(value: T, ms = 300): T {
		48	+ const [v, setV] = useState(value);
		49	+ useEffect(() => {
		50	+ const t = window.setTimeout(() => setV(value), ms);
		51	+ return () => window.clearTimeout(t);
		52	+ }, [value, ms]);
		53	+ return v;
		54	+}
		55	+
		56	+/** Read a query-string parameter client-side (static export cannot use dynamic routes). */
		57	+export function useQueryParam(name: string): string | null {
		58	+ const [v, setV] = useState<string | null>(null);
		59	+ useEffect(() => {
		60	+ const read = () => setV(new URLSearchParams(window.location.search).get(name));
		61	+ read();
		62	+ window.addEventListener("popstate", read);
		63	+ return () => window.removeEventListener("popstate", read);
		64	+ }, [name]);
		65	+ return v;
		66	+}
		67	+
		68	+export function useInterval(cb: () => void, ms: number | null) {
		69	+ const ref = useRef(cb);
		70	+ ref.current = cb;
		71	+ useEffect(() => {
		72	+ if (ms === null) return;
		73	+ const id = window.setInterval(() => ref.current(), ms);
		74	+ return () => window.clearInterval(id);
		75	+ }, [ms]);
		76	+}
		77	+
		78	+export function useMediaQuery(q: string): boolean {
		79	+ const [m, setM] = useState(false);
		80	+ useEffect(() => {
		81	+ const mq = window.matchMedia(q);
		82	+ const on = () => setM(mq.matches);
		83	+ on();
		84	+ mq.addEventListener("change", on);
		85	+ return () => mq.removeEventListener("change", on);
		86	+ }, [q]);
		87	+ return m;
		88	+}
		89	+
		90	+export function useLocalStorage<T>(key: string, initial: T): [T, (v: T) => void] {
		91	+ const [v, setV] = useState<T>(initial);
		92	+ useEffect(() => {
		93	+ try {
		94	+ const raw = window.localStorage.getItem(key);
		95	+ if (raw !== null) setV(JSON.parse(raw) as T);
		96	+ } catch {
		97	+ /* ignore */
		98	+ }
		99	+ }, [key]);
		100	+ const set = useCallback(
		101	+ (nv: T) => {
		102	+ setV(nv);
		103	+ try {
		104	+ window.localStorage.setItem(key, JSON.stringify(nv));
		105	+ } catch {
		106	+ /* ignore */
		107	+ }
		108	+ },
		109	+ [key],
		110	+ );
		111	+ return [v, set];
		112	+}

added apps/web/src/lib/toast.tsx +62 −0

				@@ -0,0 +1,62 @@
		1	+"use client";
		2	+import { createContext, useCallback, useContext, useMemo, useRef, useState, type ReactNode } from "react";
		3	+import { isApiError } from "./api";
		4	+
		5	+export type ToastKind = "info" | "success" | "warning" | "error";
		6	+export interface ToastItem {
		7	+ id: number;
		8	+ kind: ToastKind;
		9	+ title: string;
		10	+ detail?: string;
		11	+ requestId?: string | null;
		12	+}
		13	+
		14	+interface ToastCtx {
		15	+ toasts: ToastItem[];
		16	+ push: (t: Omit<ToastItem, "id">) => void;
		17	+ dismiss: (id: number) => void;
		18	+ error: (e: unknown, fallback?: string) => void;
		19	+ success: (title: string, detail?: string) => void;
		20	+ info: (title: string, detail?: string) => void;
		21	+}
		22	+
		23	+const Ctx = createContext<ToastCtx | null>(null);
		24	+
		25	+export function ToastProvider({ children }: { children: ReactNode }) {
		26	+ const [toasts, setToasts] = useState<ToastItem[]>([]);
		27	+ const seq = useRef(0);
		28	+
		29	+ const dismiss = useCallback((id: number) => setToasts((t) => t.filter((x) => x.id !== id)), []);
		30	+ const push = useCallback(
		31	+ (t: Omit<ToastItem, "id">) => {
		32	+ const id = ++seq.current;
		33	+ setToasts((prev) => [...prev.slice(-4), { ...t, id }]);
		34	+ const ttl = t.kind === "error" ? 9000 : 4500;
		35	+ window.setTimeout(() => dismiss(id), ttl);
		36	+ },
		37	+ [dismiss],
		38	+ );
		39	+ const error = useCallback(
		40	+ (e: unknown, fallback = "Request failed") => {
		41	+ if (isApiError(e)) {
		42	+ push({ kind: "error", title: `${e.message}`, detail: `${e.code} · HTTP ${e.status}`, requestId: e.request_id });
		43	+ } else if (e instanceof Error) {
		44	+ push({ kind: "error", title: fallback, detail: e.message });
		45	+ } else {
		46	+ push({ kind: "error", title: fallback });
		47	+ }
		48	+ },
		49	+ [push],
		50	+ );
		51	+ const success = useCallback((title: string, detail?: string) => push({ kind: "success", title, detail }), [push]);
		52	+ const info = useCallback((title: string, detail?: string) => push({ kind: "info", title, detail }), [push]);
		53	+
		54	+ const value = useMemo(() => ({ toasts, push, dismiss, error, success, info }), [toasts, push, dismiss, error, success, info]);
		55	+ return <Ctx.Provider value={value}>{children}</Ctx.Provider>;
		56	+}
		57	+
		58	+export function useToast(): ToastCtx {
		59	+ const c = useContext(Ctx);
		60	+ if (!c) throw new Error("useToast outside ToastProvider");
		61	+ return c;
		62	+}

added apps/web/tsconfig.json +21 −0

				@@ -0,0 +1,21 @@
		1	+{
		2	+ "compilerOptions": {
		3	+ "target": "ES2022",
		4	+ "lib": ["dom", "dom.iterable", "esnext"],
		5	+ "allowJs": false,
		6	+ "skipLibCheck": true,
		7	+ "strict": true,
		8	+ "noEmit": true,
		9	+ "esModuleInterop": true,
		10	+ "module": "esnext",
		11	+ "moduleResolution": "bundler",
		12	+ "resolveJsonModule": true,
		13	+ "isolatedModules": true,
		14	+ "jsx": "preserve",
		15	+ "incremental": true,
		16	+ "plugins": [{ "name": "next" }],
		17	+ "paths": { "@/*": ["./src/*"] }
		18	+ },
		19	+ "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
		20	+ "exclude": ["node_modules", "out"]
		21	+}

added connectors/fundamentals/pyproject.toml +14 −0

				@@ -0,0 +1,14 @@
		1	+[project]
		2	+name = "findata-fundamentals"
		3	+version = "0.1.0"
		4	+requires-python = ">=3.12"
		5	+dependencies = ["findata-core", "findata-schema", "findata-market-firstrate", "httpx>=0.28"]
		6	+[tool.uv.sources]
		7	+findata-core = { workspace = true }
		8	+findata-schema = { workspace = true }
		9	+findata-market-firstrate = { workspace = true }
		10	+[build-system]
		11	+requires = ["hatchling"]
		12	+build-backend = "hatchling.build"
		13	+[tool.hatch.build.targets.wheel]
		14	+packages = ["src/findata_fundamentals"]

added connectors/fundamentals/src/findata_fundamentals/__init__.py +2 −0

				@@ -0,0 +1,2 @@
		1	+from findata_fundamentals.firstrate import FirstRateFundamentalsConnector, facts_from_financials, available_at_policy # noqa: F401
		2	+from findata_fundamentals.sec_edgar import SecEdgarConnector, facts_from_companyfacts # noqa: F401

added connectors/fundamentals/src/findata_fundamentals/firstrate.py +138 −0

				@@ -0,0 +1,138 @@
		1	+"""FirstRate Data US Fundamentals (`/api-f/v1`). Verified 2026-11-01: auth via `userid` query parameter
		2	+(the page advertises `api_key` but that returns 403). JSON envelope `{status, data:{ticker, count, financial_data:[...]}}`.
		3	+
		4	+Point-in-time policy
		5	+--------------------
		6	+The vendor supplies `filing_date` (SEC filing date) and one value per (ticker, period): no revision history.
		7	+FinData sets `available_at = filing_date 00:00 America/New_York + 1 day` (the filing is certainly public on the
		8	+next trading morning; EDGAR acceptance after 17:30 ET is disseminated the next business day). `published_at` is
		9	+unknown → NULL. Each ingestion run compares the vendor value with the latest stored revision; a change creates a
		10	+new revision with `restatement_flag = true` and supersedes the old one. Pre-ingestion restatements cannot be
		11	+reconstructed from this vendor (documented limitation).
		12	+"""
		13	+from __future__ import annotations
		14	+
		15	+import json
		16	+from datetime import UTC, date, datetime, time, timedelta
		17	+from typing import Any, Iterator
		18	+from zoneinfo import ZoneInfo
		19	+
		20	+import httpx
		21	+
		22	+from findata_core.config import get_settings
		23	+from findata_core.redact import redact
		24	+
		25	+BASE = "https://firstratedata.com/api-f"
		26	+SOURCE_ID = "firstrate_fundamentals"
		27	+ET = ZoneInfo("America/New_York")
		28	+DEFAULT_TRANSPORT: httpx.BaseTransport | None = None
		29	+
		30	+# metric -> (unit, kind) kind: flow|stock|per_share|ratio|count
		31	+METRICS: dict[str, tuple[str, str]] = {
		32	+ "rev": ("USD", "flow"), "cogs": ("USD", "flow"), "gp": ("USD", "flow"), "sgna": ("USD", "flow"),
		33	+ "research_dev": ("USD", "flow"), "op_ex": ("USD", "flow"), "op_inc": ("USD", "flow"), "interest_exp": ("USD", "flow"),
		34	+ "ebt": ("USD", "flow"), "tax_expense": ("USD", "flow"), "net_inc": ("USD", "flow"), "net_inc_com": ("USD", "flow"),
		35	+ "net_inc_non_control": ("USD", "flow"), "net_loss_discontinued": ("USD", "flow"), "cos_inc": ("USD", "flow"),
		36	+ "ebit": ("USD", "flow"), "ebitda": ("USD", "flow"), "depr": ("USD", "flow"), "share_comp": ("USD", "flow"),
		37	+ "pref_divs": ("USD", "flow"), "eps": ("USD/share", "per_share"), "eps_d": ("USD/share", "per_share"),
		38	+ "dps": ("USD/share", "per_share"), "shares": ("shares", "count"), "shares_av": ("shares", "count"),
		39	+ "shares_av_diluted": ("shares", "count"),
		40	+ "assets_tot": ("USD", "stock"), "assets_c": ("USD", "stock"), "assets_nc": ("USD", "stock"), "cash": ("USD", "stock"),
		41	+ "receivables": ("USD", "stock"), "inventory": ("USD", "stock"), "inv_c": ("USD", "stock"), "inv_nc": ("USD", "stock"),
		42	+ "investments": ("USD", "stock"), "ppe": ("USD", "stock"), "intangibles": ("USD", "stock"), "tax_asset": ("USD", "stock"),
		43	+ "liab_tot": ("USD", "stock"), "liab_c": ("USD", "stock"), "liab_nc": ("USD", "stock"), "payables": ("USD", "stock"),
		44	+ "def_rev": ("USD", "stock"), "debt": ("USD", "stock"), "debt_c": ("USD", "stock"), "debt_nc": ("USD", "stock"),
		45	+ "tax_liability": ("USD", "stock"), "equity": ("USD", "stock"), "ret_earnings": ("USD", "stock"), "acc_oci": ("USD", "stock"),
		46	+ "cash_op": ("USD", "flow"), "cash_inv": ("USD", "flow"), "cash_fin": ("USD", "flow"), "capex": ("USD", "flow"),
		47	+ "cash_div": ("USD", "flow"), "cash_change": ("USD", "flow"), "cash_business_acq": ("USD", "flow"),
		48	+ "cash_inv_acq": ("USD", "flow"), "cash_debt_sec": ("USD", "flow"), "cash_equity": ("USD", "flow"),
		49	+ "fx_impact_cash": ("USD", "flow"),
		50	+ "roa": ("ratio", "ratio"), "roe": ("ratio", "ratio"), "roic": ("ratio", "ratio"), "gm": ("ratio", "ratio"),
		51	+ "om": ("ratio", "ratio"), "intr_cover": ("ratio", "ratio"),
		52	+}
		53	+NON_METRIC_FIELDS = {"period_end", "period_type", "filing_date", "fiscal_year", "fiscal_period", "actual_year", "actual_period"}
		54	+
		55	+
		56	+def available_at_policy(filing_date: date | None, period_end: date) -> datetime:
		57	+ """PIT availability. Falls back to period_end + 90 days when the filing date is missing (flagged upstream)."""
		58	+ base = filing_date if filing_date else period_end + timedelta(days=90)
		59	+ return datetime.combine(base + timedelta(days=1), time(0, 0), tzinfo=ET).astimezone(UTC)
		60	+
		61	+
		62	+def facts_from_financials(payload: dict[str, Any], observed_at: datetime, ticker: str | None = None) -> Iterator[dict[str, Any]]:
		63	+ """Explode one `/v1/financials/all` or `/single` JSON payload into long-format facts (dicts)."""
		64	+ data = payload.get("data") or {}
		65	+ tkr = (data.get("ticker") or ticker or "").upper()
		66	+ records = data.get("financial_data") or ([data] if "period_end" in data else [])
		67	+ for rec in records:
		68	+ pe = date.fromisoformat(rec["period_end"][:10])
		69	+ fd = date.fromisoformat(rec["filing_date"][:10]) if rec.get("filing_date") else None
		70	+ ptype = "a" if str(rec.get("period_type", "")).lower().startswith("a") or str(rec.get("fiscal_period", "")).lower() == "fy" else "q"
		71	+ avail = available_at_policy(fd, pe)
		72	+ start = None
		73	+ if ptype == "q":
		74	+ start = (pe.replace(day=1) - timedelta(days=60)).replace(day=1) # approx. quarter start (vendor gives no start)
		75	+ else:
		76	+ start = (pe - timedelta(days=364)).replace(day=1)
		77	+ for k, v in rec.items():
		78	+ if k in NON_METRIC_FIELDS or k not in METRICS:
		79	+ continue
		80	+ unit, _kind = METRICS[k]
		81	+ yield {
		82	+ "entity_id": f"frd:{tkr}", "security_id": f"firstrate:stock:{tkr}", "metric": k,
		83	+ "value": None if v is None else float(v), "unit": unit, "currency": "USD" if unit.startswith("USD") else None,
		84	+ "fiscal_period_start": start, "fiscal_period_end": pe, "fiscal_period_type": ptype,
		85	+ "fiscal_year": rec.get("fiscal_year"), "fiscal_period": str(rec.get("fiscal_period") or "").lower() or None,
		86	+ "filing_date": fd, "published_at": None, "available_at": avail, "observed_at": observed_at,
		87	+ "source_document": f"SEC {'10-K' if ptype == 'a' else '10-Q'} via FirstRate (filing_date={fd})",
		88	+ "source_id": SOURCE_ID, "pit_fallback": fd is None,
		89	+ }
		90	+
		91	+
		92	+class FirstRateFundamentalsConnector:
		93	+ source_id = SOURCE_ID
		94	+
		95	+ def __init__(self, userid: str | None = None, transport: httpx.BaseTransport | None = None):
		96	+ self._userid = userid if userid is not None else get_settings().frd_userid.get_secret_value()
		97	+ self._client = httpx.Client(timeout=60.0, transport=transport or DEFAULT_TRANSPORT,
		98	+ headers={"User-Agent": "FinDataOS/0.1 (+private research lakehouse)"})
		99	+
		100	+ def _get(self, path: str, params: dict[str, Any] | None = None) -> dict[str, Any]:
		101	+ if not self._userid:
		102	+ raise RuntimeError("FRD_USERID not configured")
		103	+ q = dict(params or {})
		104	+ q["type"] = "json"
		105	+ q["userid"] = self._userid
		106	+ r = self._client.get(f"{BASE}{path}", params=q)
		107	+ if r.status_code != 200:
		108	+ raise RuntimeError(redact(f"fundamentals HTTP {r.status_code} on {path}: {r.text[:200]}", [self._userid]))
		109	+ try:
		110	+ payload = r.json()
		111	+ except json.JSONDecodeError as e:
		112	+ raise RuntimeError(redact(f"fundamentals: non-JSON response on {path}", [self._userid])) from e
		113	+ if payload.get("status") not in (None, "success"):
		114	+ raise RuntimeError(redact(f"fundamentals: status={payload.get('status')} on {path}", [self._userid]))
		115	+ return payload
		116	+
		117	+ def discover(self) -> dict[str, Any]:
		118	+ p = self._get("/v1/financials/all/AAPL/annual")
		119	+ return {"source_id": SOURCE_ID, "probe": "financials/all/AAPL/annual", "count": p.get("data", {}).get("count"),
		120	+ "fields": sorted((p.get("data", {}).get("financial_data") or [{}])[0].keys())}
		121	+
		122	+ def financials_all(self, ticker: str, period: str = "quarterly") -> dict[str, Any]:
		123	+ assert period in ("annual", "quarterly")
		124	+ return self._get(f"/v1/financials/all/{ticker.upper()}/{period}")
		125	+
		126	+ def financials_single(self, ticker: str, period: str, year: int) -> dict[str, Any]:
		127	+ return self._get(f"/v1/financials/single/{ticker.upper()}", {"period": period, "year": year})
		128	+
		129	+ def earnings(self, ticker: str) -> list[dict[str, Any]]:
		130	+ p = self._get(f"/v1/earnings_release/t/{ticker.upper()}")
		131	+ return p.get("data", {}).get("earnings_release_data") or []
		132	+
		133	+ def metrics(self, ticker: str, start: date, end: date) -> list[dict[str, Any]]:
		134	+ p = self._get(f"/v1/metrics/t/{ticker.upper()}/{start.isoformat()}/{end.isoformat()}")
		135	+ return p.get("data", {}).get("metrics_data") or []
		136	+
		137	+ def close(self) -> None:
		138	+ self._client.close()

added connectors/fundamentals/src/findata_fundamentals/sec_edgar.py +109 −0

				@@ -0,0 +1,109 @@
		1	+"""SEC EDGAR XBRL `companyfacts` connector — independent public-domain source.
		2	+
		3	+Status: **pending configuration** until `SEC_EDGAR_USER_AGENT` (name + contact e-mail, per SEC fair-access policy)
		4	+is set. Parsing is implemented and fixture-tested; live fetches refuse to run without the User-Agent and respect
		5	+the 10 requests/second limit.
		6	+
		7	+PIT: `companyfacts` provides `filed` (filing date), `accn` (accession), `form`, `fy`, `fp`, `start`, `end`, `frame`.
		8	+`available_at = filed + 1 day 00:00 ET`. Facts re-reported in later filings appear as distinct (accn, filed) rows
		9	+→ FinData keeps each as a revision ordered by filing date, so as-of queries naturally pick the latest filing
		10	+*available at* the query time, never a later restatement.
		11	+"""
		12	+from __future__ import annotations
		13	+
		14	+import time
		15	+from datetime import UTC, date, datetime, timedelta
		16	+from typing import Any, Iterator
		17	+from zoneinfo import ZoneInfo
		18	+
		19	+import httpx
		20	+
		21	+from findata_core.config import get_settings
		22	+
		23	+SOURCE_ID = "sec_edgar"
		24	+ET = ZoneInfo("America/New_York")
		25	+BASE = "https://data.sec.gov"
		26	+
		27	+# us-gaap concept -> FinData metric name (subset; others keep the concept name prefixed `xbrl:`)
		28	+CONCEPT_MAP = {
		29	+ "Revenues": "rev", "RevenueFromContractWithCustomerExcludingAssessedTax": "rev", "CostOfRevenue": "cogs",
		30	+ "GrossProfit": "gp", "OperatingIncomeLoss": "op_inc", "NetIncomeLoss": "net_inc",
		31	+ "EarningsPerShareBasic": "eps", "EarningsPerShareDiluted": "eps_d", "Assets": "assets_tot",
		32	+ "AssetsCurrent": "assets_c", "Liabilities": "liab_tot", "LiabilitiesCurrent": "liab_c",
		33	+ "StockholdersEquity": "equity", "CashAndCashEquivalentsAtCarryingValue": "cash",
		34	+ "NetCashProvidedByUsedInOperatingActivities": "cash_op", "NetCashProvidedByUsedInInvestingActivities": "cash_inv",
		35	+ "NetCashProvidedByUsedInFinancingActivities": "cash_fin", "PaymentsToAcquirePropertyPlantAndEquipment": "capex",
		36	+ "CommonStockSharesOutstanding": "shares", "WeightedAverageNumberOfDilutedSharesOutstanding": "shares_av_diluted",
		37	+ "WeightedAverageNumberOfSharesOutstandingBasic": "shares_av", "ResearchAndDevelopmentExpense": "research_dev",
		38	+ "LongTermDebt": "debt", "RetainedEarningsAccumulatedDeficit": "ret_earnings",
		39	+}
		40	+
		41	+
		42	+def facts_from_companyfacts(payload: dict[str, Any], observed_at: datetime, only_mapped: bool = True) -> Iterator[dict[str, Any]]:
		43	+ cik = int(payload.get("cik", 0))
		44	+ entity_id = f"sec:CIK{cik:010d}"
		45	+ name = payload.get("entityName")
		46	+ for taxonomy, concepts in (payload.get("facts") or {}).items():
		47	+ if taxonomy not in ("us-gaap", "dei"):
		48	+ continue
		49	+ for concept, body in concepts.items():
		50	+ metric = CONCEPT_MAP.get(concept)
		51	+ if metric is None:
		52	+ if only_mapped:
		53	+ continue
		54	+ metric = f"xbrl:{concept}"
		55	+ for unit, vals in (body.get("units") or {}).items():
		56	+ for v in vals:
		57	+ end = date.fromisoformat(v["end"])
		58	+ start = date.fromisoformat(v["start"]) if v.get("start") else None
		59	+ filed = date.fromisoformat(v["filed"])
		60	+ fp = (v.get("fp") or "").upper()
		61	+ ptype = "a" if fp == "FY" or (start and (end - start).days > 300) else "q"
		62	+ if start and (end - start).days > 120 and ptype == "q":
		63	+ continue # year-to-date cumulative values are not quarterly facts
		64	+ yield {
		65	+ "entity_id": entity_id, "security_id": None, "metric": metric, "value": float(v["val"]),
		66	+ "unit": unit, "currency": "USD" if unit == "USD" else None,
		67	+ "fiscal_period_start": start, "fiscal_period_end": end, "fiscal_period_type": ptype,
		68	+ "fiscal_year": v.get("fy"), "fiscal_period": fp.lower() or None, "filing_date": filed,
		69	+ "published_at": None,
		70	+ "available_at": datetime.combine(filed + timedelta(days=1), datetime.min.time(), tzinfo=ET).astimezone(UTC),
		71	+ "observed_at": observed_at,
		72	+ "source_document": f"{v.get('form')} {v.get('accn')} ({name})", "source_id": SOURCE_ID,
		73	+ "accession": v.get("accn"), "form": v.get("form"), "frame": v.get("frame"),
		74	+ }
		75	+
		76	+
		77	+class SecEdgarConnector:
		78	+ source_id = SOURCE_ID
		79	+
		80	+ def __init__(self, user_agent: str | None = None, transport: httpx.BaseTransport | None = None):
		81	+ self.user_agent = user_agent if user_agent is not None else get_settings().sec_edgar_user_agent
		82	+ self._client = httpx.Client(timeout=60.0, transport=transport, headers={"User-Agent": self.user_agent or "unset",
		83	+ "Accept-Encoding": "gzip"})
		84	+ self._last = 0.0
		85	+
		86	+ @property
		87	+ def configured(self) -> bool:
		88	+ return bool(self.user_agent and "@" in self.user_agent)
		89	+
		90	+ def status(self) -> dict[str, Any]:
		91	+ return {"source_id": SOURCE_ID, "status": "active" if self.configured else "pending_configuration",
		92	+ "reason": None if self.configured else "SEC_EDGAR_USER_AGENT (name + e-mail) not set"}
		93	+
		94	+ def _get(self, url: str) -> dict[str, Any]:
		95	+ if not self.configured:
		96	+ raise RuntimeError("SEC EDGAR connector pending configuration: set SEC_EDGAR_USER_AGENT")
		97	+ wait = 0.11 - (time.monotonic() - self._last)
		98	+ if wait > 0:
		99	+ time.sleep(wait)
		100	+ self._last = time.monotonic()
		101	+ r = self._client.get(url)
		102	+ r.raise_for_status()
		103	+ return r.json()
		104	+
		105	+ def company_tickers(self) -> dict[str, Any]:
		106	+ return self._get("https://www.sec.gov/files/company_tickers.json")
		107	+
		108	+ def companyfacts(self, cik: int) -> dict[str, Any]:
		109	+ return self._get(f"{BASE}/api/xbrl/companyfacts/CIK{cik:010d}.json")

added connectors/market/pyproject.toml +14 −0

				@@ -0,0 +1,14 @@
		1	+[project]
		2	+name = "findata-market-firstrate"
		3	+version = "0.1.0"
		4	+requires-python = ">=3.12"
		5	+dependencies = ["findata-core", "findata-schema", "findata-quality", "httpx>=0.28", "pyarrow>=18.0", "polars>=1.12"]
		6	+[tool.uv.sources]
		7	+findata-core = { workspace = true }
		8	+findata-schema = { workspace = true }
		9	+findata-quality = { workspace = true }
		10	+[build-system]
		11	+requires = ["hatchling"]
		12	+build-backend = "hatchling.build"
		13	+[tool.hatch.build.targets.wheel]
		14	+packages = ["src/findata_market_firstrate"]

added connectors/market/src/findata_market_firstrate/__init__.py +3 −0

				@@ -0,0 +1,3 @@
		1	+from findata_market_firstrate.client import FRDClient, FRDError # noqa: F401
		2	+from findata_market_firstrate.connector import FirstRateMarketConnector # noqa: F401
		3	+from findata_market_firstrate.archive import iter_archive_files, parse_bar_file, ticker_from_filename # noqa: F401

added connectors/market/src/findata_market_firstrate/archive.py +131 −0

				@@ -0,0 +1,131 @@
		1	+"""Zip archive handling and CSV → canonical Arrow conversion for FirstRate bar files.
		2	+
		3	+Vendor file facts: `{TICKER}_{period}_{timeframe}_{adjustment}.txt` (update archives) or `{TICKER}_{timeframe}.txt`
		4	+(full archives), no header, `yyyy-MM-dd HH:mm:ss,O,H,L,C,V` (daily: `yyyy-MM-dd,O,H,L,C,V[,OI]`), FX intraday splits
		5	+date and time into two fields, line endings may mix LF/CRLF, nested zips occur in bundle archives.
		6	+"""
		7	+from __future__ import annotations
		8	+
		9	+import io
		10	+import re
		11	+import zipfile
		12	+from collections.abc import Iterator
		13	+from datetime import datetime
		14	+from pathlib import Path
		15	+
		16	+import polars as pl
		17	+import pyarrow as pa
		18	+
		19	+from findata_schema import BARS_SCHEMA, Adjustment, AssetClass, Interval
		20	+
		21	+VENDOR_TF = {"1min": Interval.m1, "5min": Interval.m5, "30min": Interval.m30, "1hour": Interval.h1, "1day": Interval.d1}
		22	+VENDOR_ADJ = {"UNADJUSTED": Adjustment.raw, "adj_split": Adjustment.split, "adj_splitdiv": Adjustment.split_div}
		23	+_TICKER_RE = re.compile(r"^([A-Za-z0-9.\-]+?)(?:[_-](?:full|day|week|month|1min|5min|30min|1hour|1day|UNADJUSTED|adj_split|adj_splitdiv|contin.*))*\.(txt|csv)$", re.I)
		24	+
		25	+
		26	+def ticker_from_filename(name: str) -> str:
		27	+ base = Path(name).name
		28	+ m = _TICKER_RE.match(base)
		29	+ if m:
		30	+ return m.group(1).upper()
		31	+ return base.split("_")[0].upper()
		32	+
		33	+
		34	+def iter_archive_files(zip_path: Path) -> Iterator[tuple[str, bytes]]:
		35	+ """Yield (member_name, bytes) for every data file, descending into nested zips."""
		36	+ with zipfile.ZipFile(zip_path) as zf:
		37	+ for info in zf.infolist():
		38	+ if info.is_dir():
		39	+ continue
		40	+ name = info.filename
		41	+ if name.lower().endswith(".zip"):
		42	+ data = zf.read(info)
		43	+ with zipfile.ZipFile(io.BytesIO(data)) as inner:
		44	+ for inner_info in inner.infolist():
		45	+ if not inner_info.is_dir() and inner_info.filename.lower().endswith((".txt", ".csv")):
		46	+ yield f"{name}!/{inner_info.filename}", inner.read(inner_info)
		47	+ elif name.lower().endswith((".txt", ".csv")):
		48	+ yield name, zf.read(info)
		49	+
		50	+
		51	+def parse_bar_file(data: bytes, symbol: str, asset_class: AssetClass, interval: Interval, adjustment: Adjustment,
		52	+ source_id: str, ingested_at: datetime, source_tz: str = "America/New_York",
		53	+ currency: str = "USD", venue: str | None = None, revision_id: int = 1) -> tuple[pa.Table, int]:
		54	+ """Parse one vendor CSV into the canonical bars table. Returns (table, raw_row_count).
		55	+
		56	+ Duplicate (symbol, timestamp) rows are *kept* here and flagged downstream; we never drop source records silently.
		57	+ Unparseable timestamps (e.g. non-existent local time at DST spring-forward) are dropped from the typed table and
		58	+ counted in `raw_row_count - table.num_rows`.
		59	+ """
		60	+ text = data.decode("utf-8", errors="replace").replace("\r\n", "\n").replace("\r", "\n")
		61	+ lines = [ln for ln in text.split("\n") if ln.strip()]
		62	+ if lines and lines[0].lower().startswith(("datetime", "date", "timestamp")):
		63	+ lines = lines[1:]
		64	+ raw_rows = len(lines)
		65	+ if raw_rows == 0:
		66	+ return pa.table({f.name: pa.array([], type=f.type) for f in BARS_SCHEMA}, schema=BARS_SCHEMA), 0
		67	+ ncols = len(lines[0].split(","))
		68	+ buf = "\n".join(lines).encode()
		69	+ if ncols == 7 and re.match(r"^\d{8},\d{2}:\d{2}", lines[0]):
		70	+ names = ["d", "t", "open", "high", "low", "close", "volume"]
		71	+ df = pl.read_csv(buf, has_header=False, new_columns=names, infer_schema_length=0)
		72	+ df = df.with_columns((pl.col("d") + " " + pl.col("t")).alias("dt_raw")).drop("d", "t")
		73	+ fmt = "%Y%m%d %H:%M:%S"
		74	+ else:
		75	+ names = ["dt_raw", "open", "high", "low", "close", "volume"] + (["open_interest"] if ncols == 7 else [])
		76	+ if ncols not in (6, 7):
		77	+ raise ValueError(f"unexpected column count {ncols} in {symbol}")
		78	+ df = pl.read_csv(buf, has_header=False, new_columns=names, infer_schema_length=0)
		79	+ fmt = "%Y-%m-%d %H:%M:%S" if interval != Interval.d1 else None
		80	+ for c in ("open", "high", "low", "close", "volume"):
		81	+ df = df.with_columns(pl.col(c).str.strip_chars().cast(pl.Float64, strict=False))
		82	+ if interval == Interval.d1:
		83	+ local = pl.col("dt_raw").str.strip_chars().str.slice(0, 10).str.to_date("%Y-%m-%d", strict=False).cast(pl.Datetime("us"))
		84	+ else:
		85	+ local = pl.col("dt_raw").str.strip_chars().str.to_datetime(fmt, strict=False, time_unit="us")
		86	+ df = df.with_columns(local.alias("local_naive"))
		87	+ df = df.filter(pl.col("local_naive").is_not_null() & pl.col("open").is_not_null() & pl.col("close").is_not_null())
		88	+ df = df.with_columns(
		89	+ pl.col("local_naive").dt.replace_time_zone(source_tz, ambiguous="earliest", non_existent="null").alias("ts_local")
		90	+ ).filter(pl.col("ts_local").is_not_null())
		91	+ df = df.with_columns(
		92	+ pl.col("ts_local").dt.convert_time_zone("UTC").alias("timestamp_utc"),
		93	+ pl.col("ts_local").dt.date().alias("session_date"),
		94	+ )
		95	+ n = df.height
		96	+ out = pl.DataFrame({
		97	+ "instrument_id": pl.repeat(f"{source_id}:{asset_class.value}:{symbol}", n, eager=True),
		98	+ "symbol_as_reported": pl.repeat(symbol, n, eager=True),
		99	+ "venue": pl.repeat(venue, n, eager=True, dtype=pl.Utf8),
		100	+ "asset_class": pl.repeat(asset_class.value, n, eager=True),
		101	+ "interval": pl.repeat(interval.value, n, eager=True),
		102	+ "timestamp_utc": df["timestamp_utc"],
		103	+ "session_date": df["session_date"],
		104	+ "open": df["open"], "high": df["high"], "low": df["low"], "close": df["close"],
		105	+ "volume": df["volume"].fill_null(0.0),
		106	+ "currency": pl.repeat(currency, n, eager=True),
		107	+ "trade_count": pl.repeat(None, n, eager=True, dtype=pl.Int32),
		108	+ "vwap": pl.repeat(None, n, eager=True, dtype=pl.Float64),
		109	+ "adjustment_type": pl.repeat(adjustment.value, n, eager=True),
		110	+ "source_id": pl.repeat(source_id, n, eager=True),
		111	+ "ingested_at": pl.repeat(ingested_at, n, eager=True, dtype=pl.Datetime("us", "UTC")),
		112	+ "quality_flags": pl.repeat([], n, eager=True, dtype=pl.List(pl.Utf8)),
		113	+ "revision_id": pl.repeat(revision_id, n, eager=True, dtype=pl.Int32),
		114	+ })
		115	+ return out.to_arrow().cast(BARS_SCHEMA), raw_rows
		116	+
		117	+
		118	+def parse_meta_pairs(data: bytes) -> list[tuple[str, float]]:
		119	+ """Splits/dividends per-ticker files: `yyyy-MM-dd,value` lines."""
		120	+ out = []
		121	+ for ln in data.decode("utf-8", errors="replace").splitlines():
		122	+ ln = ln.strip()
		123	+ if not ln or ln.lower().startswith("date"):
		124	+ continue
		125	+ parts = ln.split(",")
		126	+ if len(parts) >= 2:
		127	+ try:
		128	+ out.append((parts[0].strip(), float(parts[1])))
		129	+ except ValueError:
		130	+ continue
		131	+ return out

added connectors/market/src/findata_market_firstrate/client.py +144 −0

				@@ -0,0 +1,144 @@
		1	+"""HTTP client for the FirstRate Data API. The user id is appended at request time and never logged.
		2	+
		3	+Vendor facts (verified 2026-11-01): auth = `userid` query parameter; archive endpoints answer HTTP 302 to a CDN
		4	+(x01.frd-data.com / backblazeb2.com) serving a zip; `last_update` returns a bare date (fx uses yyyyMMdd);
		5	+no documented rate limit — we still cap concurrency and sleep between metadata calls.
		6	+"""
		7	+from __future__ import annotations
		8	+
		9	+import hashlib
		10	+import random
		11	+import time
		12	+from dataclasses import dataclass
		13	+from datetime import date, datetime
		14	+from pathlib import Path
		15	+from typing import Any
		16	+
		17	+import httpx
		18	+
		19	+from findata_core.redact import redact
		20	+
		21	+BASE_URL = "https://firstratedata.com/api"
		22	+FUNDAMENTALS_BASE_URL = "https://firstratedata.com/api-f"
		23	+CHUNK = 4 * 1024 * 1024
		24	+MAX_RETRIES = 5
		25	+TIMEOUT_META = 60.0
		26	+TIMEOUT_DOWNLOAD = 7200.0
		27	+DEFAULT_TRANSPORT: httpx.BaseTransport | None = None # tests inject a MockTransport here
		28	+
		29	+
		30	+class FRDError(RuntimeError):
		31	+ pass
		32	+
		33	+
		34	+@dataclass
		35	+class Downloaded:
		36	+ path: Path
		37	+ sha256: str
		38	+ bytes: int
		39	+ final_url_host: str
		40	+ fetched_at: datetime
		41	+
		42	+
		43	+class FRDClient:
		44	+ def __init__(self, userid: str, base_url: str = BASE_URL, min_interval_s: float = 1.0,
		45	+ transport: httpx.BaseTransport | None = None):
		46	+ if not userid:
		47	+ raise FRDError("FRD_USERID is not configured")
		48	+ self._userid = userid
		49	+ self.base_url = base_url.rstrip("/")
		50	+ self.min_interval_s = min_interval_s
		51	+ self._last_call = 0.0
		52	+ self._client = httpx.Client(follow_redirects=True, timeout=TIMEOUT_META, transport=transport or DEFAULT_TRANSPORT,
		53	+ headers={"User-Agent": "FinDataOS/0.1 (+private research lakehouse)"})
		54	+
		55	+ # ----------------------------------------------------------------- helpers
		56	+ def _url(self, endpoint: str, params: dict[str, Any]) -> str:
		57	+ q = {k: str(v) for k, v in params.items() if v is not None}
		58	+ q["userid"] = self._userid
		59	+ return str(httpx.URL(f"{self.base_url}/{endpoint}", params=q))
		60	+
		61	+ def sanitized_url(self, endpoint: str, params: dict[str, Any]) -> str:
		62	+ q = {k: str(v) for k, v in params.items() if v is not None}
		63	+ return str(httpx.URL(f"{self.base_url}/{endpoint}", params=q)) + "&userid=<REDACTED>"
		64	+
		65	+ def _throttle(self) -> None:
		66	+ wait = self.min_interval_s - (time.monotonic() - self._last_call)
		67	+ if wait > 0:
		68	+ time.sleep(wait)
		69	+ self._last_call = time.monotonic()
		70	+
		71	+ def _redact(self, text: Any) -> str:
		72	+ return redact(text, [self._userid])
		73	+
		74	+ def _get_text(self, endpoint: str, params: dict[str, Any]) -> str:
		75	+ last: Exception | None = None
		76	+ for attempt in range(1, MAX_RETRIES + 1):
		77	+ self._throttle()
		78	+ try:
		79	+ r = self._client.get(self._url(endpoint, params))
		80	+ if r.status_code in (429, 500, 502, 503, 504):
		81	+ raise FRDError(f"HTTP {r.status_code} from {endpoint}")
		82	+ if r.status_code != 200:
		83	+ raise FRDError(f"HTTP {r.status_code} from {endpoint}: {self._redact(r.text[:200])}")
		84	+ return r.text
		85	+ except (httpx.TransportError, FRDError) as e: # retry
		86	+ last = e
		87	+ if isinstance(e, FRDError) and not any(c in str(e) for c in ("429", "500", "502", "503", "504")):
		88	+ raise FRDError(self._redact(e)) from None
		89	+ time.sleep(min(60, 2 ** attempt) + random.uniform(0, 1))
		90	+ raise FRDError(self._redact(f"{endpoint} failed after {MAX_RETRIES} attempts: {last}"))
		91	+
		92	+ # ----------------------------------------------------------------- metadata
		93	+ def last_update(self, type_: str, full: bool = False) -> date:
		94	+ txt = self._get_text("last_update", {"type": type_, "is_full_update": "true" if full else None}).strip()
		95	+ for fmt in ("%Y-%m-%d", "%Y%m%d"):
		96	+ try:
		97	+ return datetime.strptime(txt[:10] if fmt == "%Y-%m-%d" else txt[:8], fmt).date()
		98	+ except ValueError:
		99	+ continue
		100	+ raise FRDError(f"unparseable last_update for {type_}: {self._redact(txt[:40])!r}")
		101	+
		102	+ def ticker_listing(self, type_: str) -> str:
		103	+ return self._get_text("ticker_listing", {"type": type_})
		104	+
		105	+ def update_log(self, type_: str, log_type: str) -> str:
		106	+ return self._get_text("update_log", {"type": type_, "log_type": log_type})
		107	+
		108	+ # ----------------------------------------------------------------- archives
		109	+ def download(self, endpoint: str, params: dict[str, Any], dest: Path) -> Downloaded:
		110	+ """Stream an archive to `dest` (atomic: `.part` then rename), computing SHA-256 on the fly."""
		111	+ dest.parent.mkdir(parents=True, exist_ok=True)
		112	+ part = dest.with_suffix(dest.suffix + ".part")
		113	+ last: Exception | None = None
		114	+ for attempt in range(1, MAX_RETRIES + 1):
		115	+ self._throttle()
		116	+ h = hashlib.sha256()
		117	+ size = 0
		118	+ try:
		119	+ with self._client.stream("GET", self._url(endpoint, params), timeout=TIMEOUT_DOWNLOAD) as r:
		120	+ if r.status_code != 200:
		121	+ body = r.read()[:300]
		122	+ raise FRDError(f"HTTP {r.status_code} downloading {endpoint}: {self._redact(body)}")
		123	+ ctype = r.headers.get("content-type", "")
		124	+ if "text/html" in ctype:
		125	+ body = r.read()[:300]
		126	+ raise FRDError(f"HTML instead of archive from {endpoint}: {self._redact(body)}")
		127	+ with open(part, "wb") as f:
		128	+ for chunk in r.iter_bytes(CHUNK):
		129	+ f.write(chunk)
		130	+ h.update(chunk)
		131	+ size += len(chunk)
		132	+ host = r.url.host
		133	+ part.replace(dest)
		134	+ return Downloaded(dest, h.hexdigest(), size, host, datetime.now().astimezone())
		135	+ except (httpx.TransportError, FRDError, OSError) as e:
		136	+ last = e
		137	+ part.unlink(missing_ok=True)
		138	+ if isinstance(e, FRDError) and "HTTP 4" in str(e):
		139	+ raise FRDError(self._redact(e)) from None
		140	+ time.sleep(min(120, 5 * 2 ** attempt) + random.uniform(0, 2))
		141	+ raise FRDError(self._redact(f"download {endpoint} failed after {MAX_RETRIES} attempts: {last}"))
		142	+
		143	+ def close(self) -> None:
		144	+ self._client.close()

added connectors/market/src/findata_market_firstrate/connector.py +173 −0

				@@ -0,0 +1,173 @@
		1	+from __future__ import annotations
		2	+
		3	+import csv
		4	+import hashlib
		5	+import io
		6	+import json
		7	+from collections.abc import Iterator
		8	+from datetime import UTC, date, datetime
		9	+from pathlib import Path
		10	+from typing import Any
		11	+
		12	+from findata_core.config import get_settings
		13	+from findata_market_firstrate.archive import (VENDOR_ADJ, VENDOR_TF, iter_archive_files, parse_bar_file,
		14	+ parse_meta_pairs, ticker_from_filename)
		15	+from findata_market_firstrate.client import FRDClient
		16	+from findata_quality import validate_bars
		17	+from findata_schema import AssetClass, Interval
		18	+from findata_schema.connector import (Capabilities, Checkpoint, Connector, FetchRequest, FetchResult,
		19	+ NormalizedBatch, ValidationReport)
		20	+
		21	+SOURCE_ID = "firstrate"
		22	+SOURCE_TZ = {"crypto": "UTC"} # everything else is US Eastern
		23	+
		24	+
		25	+class FirstRateMarketConnector(Connector):
		26	+ source_id = SOURCE_ID
		27	+
		28	+ def __init__(self, client: FRDClient | None = None):
		29	+ self._client = client
		30	+
		31	+ @property
		32	+ def client(self) -> FRDClient:
		33	+ if self._client is None:
		34	+ self._client = FRDClient(get_settings().frd_userid.get_secret_value())
		35	+ return self._client
		36	+
		37	+ # ------------------------------------------------------------------ discover / capabilities
		38	+ def discover(self) -> dict[str, Any]:
		39	+ out: dict[str, Any] = {"source_id": SOURCE_ID, "probed_at": datetime.now(UTC).isoformat(), "last_update": {}}
		40	+ for t in ("stock", "etf", "futures", "index", "fx", "crypto", "options"):
		41	+ try:
		42	+ out["last_update"][t] = self.client.last_update(t).isoformat()
		43	+ except Exception as e: # noqa: BLE001
		44	+ out["last_update"][t] = f"error: {e}"
		45	+ return out
		46	+
		47	+ def capabilities(self) -> Capabilities:
		48	+ return Capabilities(
		49	+ source_id=SOURCE_ID,
		50	+ asset_classes=tuple(a.value for a in AssetClass),
		51	+ intervals=("1m", "5m", "30m", "1h", "1d"),
		52	+ adjustments=("raw", "split", "split_div", "continuous"),
		53	+ supports_symbol_filter=False,
		54	+ supports_date_range=False,
		55	+ incremental_windows=("day", "week", "month"),
		56	+ license_class="frd-private",
		57	+ notes={"raw_only_for": ["1m", "1d"], "zero_volume_bars": "absent at source",
		58	+ "timestamp_convention": "bar_open", "timezone": "America/New_York (crypto: UTC)"},
		59	+ )
		60	+
		61	+ # ------------------------------------------------------------------ fetch
		62	+ def fetch_range(self, request: FetchRequest, dest_dir: Path) -> FetchResult:
		63	+ p = dict(request.params)
		64	+ endpoint = p.pop("endpoint", "data_file")
		65	+ asset = p.get("type", "stock")
		66	+ vendor_last = None
		67	+ try:
		68	+ vendor_last = self.client.last_update(asset, full=(p.get("period") == "full"))
		69	+ except Exception: # noqa: BLE001
		70	+ vendor_last = None
		71	+ stamp = datetime.now(UTC).strftime("%Y%m%dT%H%M%SZ")
		72	+ label = "_".join(f"{k}-{v}" for k, v in sorted(p.items()))
		73	+ dest = dest_dir / f"{endpoint}__{label}__{stamp}.zip"
		74	+ got = self.client.download(endpoint, p, dest)
		75	+ file_count = None
		76	+ try:
		77	+ import zipfile
		78	+ with zipfile.ZipFile(got.path) as zf:
		79	+ file_count = sum(1 for i in zf.infolist() if not i.is_dir())
		80	+ except Exception: # noqa: BLE001
		81	+ pass
		82	+ return FetchResult(request=request, path=got.path, sha256=got.sha256, bytes=got.bytes, fetched_at=got.fetched_at,
		83	+ vendor_last_update=vendor_last, file_count=file_count,
		84	+ source_url_sanitized=self.client.sanitized_url(endpoint, p))
		85	+
		86	+ # ------------------------------------------------------------------ normalize
		87	+ def normalize(self, result: FetchResult, **kwargs: Any) -> Iterator[NormalizedBatch]:
		88	+ p = result.request.params
		89	+ asset = AssetClass(p.get("type", "stock"))
		90	+ interval = VENDOR_TF[p.get("timeframe", "1min")]
		91	+ adjustment = VENDOR_ADJ.get(p.get("adjustment", "UNADJUSTED"))
		92	+ if adjustment is None:
		93	+ from findata_schema import Adjustment
		94	+ adjustment = Adjustment.continuous
		95	+ ingested_at = datetime.now(UTC)
		96	+ only: set[str] | None = set(kwargs.get("symbols") or []) or None
		97	+ tz = SOURCE_TZ.get(asset.value, "America/New_York")
		98	+ for name, data in iter_archive_files(result.path):
		99	+ symbol = ticker_from_filename(name)
		100	+ if only and symbol not in only:
		101	+ continue
		102	+ table, raw_rows = parse_bar_file(data, symbol, asset, interval, adjustment, SOURCE_ID, ingested_at, source_tz=tz)
		103	+ if table.num_rows == 0:
		104	+ continue
		105	+ sd = table.column("session_date").to_pylist()
		106	+ yield NormalizedBatch(table=table, symbol=symbol, session_dates=(min(sd), max(sd)),
		107	+ row_count=table.num_rows, raw_rows=raw_rows)
		108	+
		109	+ # ------------------------------------------------------------------ validate
		110	+ def validate(self, batch: NormalizedBatch) -> ValidationReport:
		111	+ interval = Interval(batch.table.column("interval")[0].as_py())
		112	+ table, anomalies = validate_bars(batch.table, interval)
		113	+ batch.table = table
		114	+ flagged = sum(1 for f in table.column("quality_flags").to_pylist() if f)
		115	+ errors = [a for a in anomalies if a["severity"] == "error"]
		116	+ return ValidationReport(rows=table.num_rows, flagged_rows=flagged, anomalies=anomalies, ok=not errors)
		117	+
		118	+ # ------------------------------------------------------------------ checkpoint
		119	+ def checkpoint(self, result: FetchResult, batches_published: int) -> Checkpoint:
		120	+ p = result.request.params
		121	+ return Checkpoint(scope=f"dataset:{result.request.dataset_id}", key="last_archive",
		122	+ value={"sha256": result.sha256, "vendor_last_update": result.vendor_last_update.isoformat()
		123	+ if result.vendor_last_update else None, "params": p,
		124	+ "fetched_at": result.fetched_at.isoformat(), "batches": batches_published})
		125	+
		126	+ # ------------------------------------------------------------------ reference data
		127	+ def ticker_listing(self, type_: str) -> list[dict[str, Any]]:
		128	+ txt = self.client.ticker_listing(type_)
		129	+ rows = list(csv.DictReader(io.StringIO(txt)))
		130	+ out = []
		131	+ for r in rows:
		132	+ sym = (r.get("Ticker") or "").strip()
		133	+ if not sym:
		134	+ continue
		135	+ out.append({"symbol": sym, "name": (r.get("Name") or "").strip() or None,
		136	+ "first_date": _d(r.get("First Date")), "last_date": _d(r.get("Last Date")),
		137	+ "status": "delisted" if sym.endswith("-DELISTED") else "active", "asset_class": type_})
		138	+ return out
		139	+
		140	+ def delisted_log(self) -> list[dict[str, Any]]:
		141	+ txt = self.client.update_log("stock", "delisted")
		142	+ return [{"symbol": r["Ticker"].strip(), "last_date": _d(r.get("Last Date"))}
		143	+ for r in csv.DictReader(io.StringIO(txt)) if r.get("Ticker")]
		144	+
		145	+ def meta_actions(self, type_: str, kind: str, dest_dir: Path) -> tuple[FetchResult, list[dict[str, Any]]]:
		146	+ """kind = splits | dividends → list of {symbol, ex_date, value}."""
		147	+ req = FetchRequest(dataset_id=f"corporate_actions.{type_}", params={"endpoint": "meta_file", "type": type_, "metafile_type": kind})
		148	+ res = self.fetch_range(req, dest_dir)
		149	+ rows = []
		150	+ for name, data in iter_archive_files(res.path):
		151	+ if name.startswith("_") or "readme" in name.lower():
		152	+ continue
		153	+ sym = Path(name).stem.upper()
		154	+ for d, v in parse_meta_pairs(data):
		155	+ rows.append({"symbol": sym, "ex_date": d, "value": v, "action_type": "split" if kind == "splits" else "dividend"})
		156	+ return res, rows
		157	+
		158	+
		159	+def _d(s: str | None) -> date | None:
		160	+ if not s:
		161	+ return None
		162	+ try:
		163	+ return date.fromisoformat(s.strip()[:10])
		164	+ except ValueError:
		165	+ return None
		166	+
		167	+
		168	+def sanitized_request(params: dict[str, Any]) -> str:
		169	+ return json.dumps({k: v for k, v in params.items() if k != "userid"}, sort_keys=True)
		170	+
		171	+
		172	+def digest_params(params: dict[str, Any]) -> str:
		173	+ return hashlib.sha256(sanitized_request(params).encode()).hexdigest()[:16]

added docs/ARCHITECTURE.md +63 −0

				@@ -0,0 +1,63 @@
		1	+# FinData OS — Architecture
		2	+
		3	+```
		4	+ FirstRate Data (vendor) SEC EDGAR (pending configuration)
		5	+ market zip archives │ /api-f JSON fundamentals │
		6	+ ▼ ▼
		7	+ connectors/market/firstrate connectors/fundamentals/{firstrate,sec_edgar}
		8	+ discover · capabilities · fetch_range · normalize · validate · checkpoint
		9	+ │
		10	+ ▼
		11	+ services/ingest ── single worker process (lake writer lock) ──────────────────────────────────────
		12	+ queue (Postgres, SKIP LOCKED, retries/backoff/jitter, dead-letter, checkpoints, resume)
		13	+ tasks: metadata · incremental · backfill · derive(5m) · compaction · fundamentals · quality · backup · gc
		14	+ lake: raw/ (immutable zips + sha256) → curated/<dataset>/{delta|base}/… Parquet ZSTD → manifests/vN.json
		15	+ │
		16	+ ┌────────────────────────┴───────────────────────┐
		17	+ ▼ ▼
		18	+ PostgreSQL 17 (metadata) DuckDB (read side, in-process, read-only)
		19	+ users/sessions/api_keys/audit · datasets/versions/ lake_files planner → read_parquet(file list)
		20	+ lake_files · instruments/aliases · corporate_actions sandboxed SQL (allowed_directories = lake only)
		21	+ coverage · quality · jobs/runs/checkpoints · exports
		22	+ fundamentals_facts (PIT, revisions) · earnings
		23	+ │
		24	+ ▼
		25	+ services/api FastAPI :8600 (127.0.0.1) — /api/v1 (OpenAPI), /metrics, static console (apps/web/out)
		26	+ │ session cookie + CSRF (owner, TOTP MFA) · scoped API keys · rate limit · audit · request ids
		27	+ ▼
		28	+ MacLustr Tunnel: node wg1 10.67.0.10 ⇄ BHS64 (Caddy TLS) ⇄ https://findata.spboucher.ai
		29	+```
		30	+
		31	+## Storage layout (M3U96a, `~/findata-lake`)
		32	+| Path | Content | Mutability |
		33	+|---|---|---|
		34	+| `raw/<source>/<dataset>/<year>/*.zip` | vendor archives as received; sha256 + sanitized request in `raw_archives` | immutable (full archives deleted after publication, hash kept) |
		35	+| `curated/<dataset>/delta/session_date=D/part-*.parquet` | one file per session, all symbols, sorted (symbol, ts) | replaced as a whole when the session is re-published |
		36	+| `curated/<dataset>/base/symbol=S/year=Y/part-*.parquet` | compacted / backfilled history | replaced per (symbol, year) |
		37	+| `manifests/<dataset>/vN.json` | file list + sha256 per version (snapshot id = sha256 of the list) | append-only |
		38	+| `_retired/` | files removed from the live set, kept 7 days so older snapshots remain reproducible | GC |
		39	+| `exports/` | export results, expire after 72 h | GC |
		40	+
		41	+**Invariant**: for every dataset version, each `(instrument_id, timestamp_utc)` is in exactly one live file. Enforced by: session-level supersede for deltas, delta-date exclusion in backfills, duplicate assertion in compaction, and a `duplicate` quality flag on rows inside a file.
		42	+
		43	+**Publication** is one Postgres transaction (`lake_files` add/retire, `dataset_versions` insert, `datasets.current_version`), after the Parquet files were written to `_tmp/` and atomically renamed. Readers choose files through `lake_files` (by version), so a half-written state is never visible.
		44	+
		45	+## Why these choices
		46	+- **Parquet + DuckDB + Postgres**: analytical reads over columnar files with predicate pushdown; metadata, auth and job state need transactions. DuckDB is never a multi-writer service: the API opens read-only in-memory connections, the worker writes Parquet files only.
		47	+- **Session-date delta files**: a daily update touches ~6 500 symbols; one file per session (≈12 MB) keeps the file count linear in days, not symbols × days. Monthly compaction turns deltas into per-symbol yearly files for fast single-symbol multi-year scans.
		48	+- **Adjustments at query time** from `corporate_actions` (vendor splits/dividends files): the lake stores one canonical raw series; `adjustment=split|split_div` is an explicit, reproducible transformation. Vendor-adjusted archives are therefore not duplicated on disk (they could be ingested as separate datasets if a reconciliation study needs them).
		49	+- **Postgres-backed queue** (no Redis): one writer, a few jobs per day, durability across reboots and `SKIP LOCKED` are all that is needed.
		50	+- **Fundamentals in Postgres** (long format): PIT queries are `DISTINCT ON`-style SQL with indexes on (entity, metric, period_end, available_at); volumes are modest (≈ 76 metrics × ~100 periods per entity).
		51	+
		52	+## Capacity model
		53	+See `docs/DISCOVERY.md` §5. Budget: curated ≤ 250 GB soft limit, 60 GB free hard stop (ingestion refuses to write below it). Measured: 1 session of 6 515 stocks = 66 MB CSV → ≈ 12–14 MB Parquet.
		54	+
		55	+## Data flows
		56	+1. **Incremental (daily)**: scheduler → `last_update(stock)` → skip if unchanged → download `period=day` zip → raw → normalize per file → group by session → validate → one delta file per session → publish (supersede) → coverage/quality → checkpoint → enqueue `derive 5m`.
		57	+2. **Backfill (operator)**: `period=full&ticker_range=L` → stream per ticker file → exclude sessions already in deltas → base files per (symbol, year) → publish per symbol (resumable via `done_symbols`).
		58	+3. **Compaction (weekly)**: deltas older than 35 days → merged into base files → duplicate assertion → publish.
		59	+4. **Fundamentals (daily)**: tracked tickers → `/v1/financials/all/{t}/{quarterly|annual}` + earnings → compare with latest revision → insert new revision when changed (`restatement_flag`).
		60	+5. **Backup (daily)**: `pg_dump | zstd` + `rsync -a --delete` of the lake to M4M64a; remote file count verified; `last_backup` recorded. Restore drill: `findata restore-drill`.
		61	+
		62	+## Security model
		63	+Owner-only by default. Browser: HttpOnly/Secure/SameSite=Strict session cookie, CSRF double-submit header, TOTP MFA (scopes empty until the second factor passes). Programmatic: `Authorization: Bearer fd_<prefix>.<secret>` keys, HMAC-hashed at rest, scoped, expirable, revocable, per-key rate limit and daily usage accounting. Vendor credentials live only in `.env` (mode 600) on the node; every log line and job error passes through a redaction filter; the HTTP client never logs URLs. The API binds to 127.0.0.1 (reached through the node's wg1 proxy by Caddy on BHS64). CSP `default-src 'self'`, HSTS, nosniff, frame-ancestors none. SQL playground: single read-only statement, keyword deny-list, DuckDB `allowed_directories` restricted to the lake, external access disabled, timeout and row caps. Exports are scoped to the requesting principal and expire.

added docs/DATA_DICTIONARY.md +60 −0

				@@ -0,0 +1,60 @@
		1	+# FinData OS — Data dictionary and conventions
		2	+
		3	+## Bars (`market_bars.*`) — Arrow schema v1 (`GET /api/v1/catalog/schema/bars`)
		4	+| Column | Type | Meaning |
		5	+|---|---|---|
		6	+| instrument_id | string | `firstrate:<asset_class>:<SYMBOL>` (vendor-keyed). Delisted: `…:<SYMBOL>-DELISTED` |
		7	+| symbol_as_reported | string | vendor file ticker (uppercase) |
		8	+| venue | string? | unknown from vendor (US consolidated); NULL |
		9	+| asset_class | string | stock, etf, futures, index, fx, crypto |
		10	+| interval | string | 1m, 5m, 30m, 1h, 1d |
		11	+| **timestamp_utc** | timestamp[us, UTC] | **bar OPEN** instant. The 09:30 bar covers 09:30:00–09:30:59 ET |
		12	+| session_date | date | trading session date in the exchange timezone (America/New_York; crypto: UTC date) |
		13	+| open/high/low/close | float64 | prices in `currency` |
		14	+| volume | float64 | shares; integral for raw data (fractional only in vendor-adjusted series) |
		15	+| currency | string | USD |
		16	+| trade_count | int32? | number of 1-minute bars aggregated (derived datasets only) |
		17	+| vwap | float64? | volume-weighted close of the aggregated bars (derived datasets only; NULL when volume = 0) |
		18	+| adjustment_type | string | raw (stored) · split · split_div (query-time) · continuous (futures) |
		19	+| source_id | string | firstrate |
		20	+| ingested_at | timestamp[us, UTC] | when FinData normalized the row |
		21	+| quality_flags | list<string> | see below; never alter prices |
		22	+| revision_id | int32 | increments when a session is re-published by the vendor |
		23	+
		24	+### Sessions, DST, calendars
		25	+- Vendor timestamps are US Eastern wall-clock (EST/EDT); conversion to UTC uses `zoneinfo America/New_York`. Non-existent local times (spring-forward hour) are dropped and counted (`rows_dropped_unparseable` in the job result); extended hours never overlap the ambiguous fall-back hour.
		26	+- Extended session 04:00–20:00 ET (last 1-minute bar opens 19:59). Regular session 09:30–16:00; the 16:00 bar is the closing print. Expected regular bars per session = minutes(open→close) + 1 (391 on a normal day, 211 on a 13:00 early close), from `exchange_calendars` XNYS.
		27	+- **Zero-volume minutes are absent at the source** — FinData never forward-fills or manufactures bars. Coverage = bars present / expected regular bars.
		28	+- Overnight futures sessions: daily futures bars follow the contract trading day (≈18:00 ET previous day → 17:00); `session_date` is the vendor's date (dataset planned).
		29	+- Crypto: UTC timestamps, 7 days a week (dataset planned).
		30	+
		31	+### Quality flags (row level) and anomaly codes
		32	+`ohlc_inconsistent`, `nonpositive_price`, `negative_volume`, `zero_volume`, `fractional_volume`, `off_interval`, `duplicate`, `outside_session`, `non_trading_day`, `price_jump` (> 25 % between consecutive bars within a session), `gap` (coverage level). Severity: error (ohlc/nonpositive/negative/duplicate/off_interval/non_trading_day) · warning (price_jump, outside_session) · info (zero_volume, fractional_volume, gap).
		33	+
		34	+### Adjustments
		35	+- Stored data is **raw** (vendor `UNADJUSTED`). `adjustment=split`: prices × Π(1/ratio) and volume × Π(ratio) for splits with ex_date after the bar's session. `adjustment=split_div`: additionally × Π(1 − dividend / last close before ex_date) using the closes present in the requested range (if no prior close is in range the dividend factor is skipped and reported in `meta.adjustment_notes`). Splits and cash dividends only (vendor meta files); no mergers/spin-offs.
		36	+- Vendor-adjusted history is rewritten after each corporate action; FinData avoids that drift by storing raw bars and applying actions explicitly.
		37	+
		38	+### Symbols, delistings, survivorship
		39	+- Vendor merges ticker changes under the latest symbol (fully since 2022); earlier changes mapped by the vendor. Delisted instruments keep a `-DELISTED` suffix; `instrument_aliases` records the base ticker. The instrument master includes 8 069 delisted tickers (listing of 2026-11-01), so universes can be built without survivorship bias when delisted archives are ingested (planned).
		40	+- Futures roll policy is the vendor's (fixed dates ≈ 7–10 days before expiry for ES/NQ); three continuous series (unadjusted, ratio, absolute); absolute-adjusted series may be negative (dataset planned).
		41	+
		42	+## Fundamentals (`fundamentals_facts`)
		43	+| Column | Meaning |
		44	+|---|---|
		45	+| entity_id | `frd:<TICKER>` (vendor) or `sec:CIK##########` (EDGAR) |
		46	+| security_id | `firstrate:stock:<TICKER>` when known |
		47	+| metric | vendor field name (rev, net_inc, eps_d, assets_tot, cash_op, shares, roe, …) — 76 fields, units in `unit` |
		48	+| value / unit / currency | numeric; USD, USD/share, shares, ratio |
		49	+| fiscal_period_start/end, fiscal_period_type (q/a), fiscal_year, fiscal_period | vendor period; start is approximated (vendor gives end only) |
		50	+| filing_date | SEC filing date (vendor) |
		51	+| published_at | unknown from vendor → NULL |
		52	+| **available_at** | PIT policy: `filing_date + 1 day 00:00 America/New_York` (fallback period_end + 91 d when filing_date missing, flagged `pit_fallback`) |
		53	+| observed_at | when FinData ingested this value |
		54	+| revision_id / restatement_flag / superseded_at | a later ingestion seeing a different value creates revision n+1 with `restatement_flag=true` and supersedes revision n |
		55	+| source_document / source_id | `SEC 10-Q via FirstRate (filing_date=…)` / `firstrate_fundamentals` |
		56	+
		57	+**As-of semantics** (`GET /api/v1/fundamentals/{entity}?as_of=`): visible iff `available_at <= as_of` and (`revision_id = 1` or `observed_at <= as_of`). Revision 1 is the proxy for "as originally filed"; restatements observed after `as_of` are never shown. Limitation: restatements that happened before FinData's first ingestion are not reconstructible from this vendor (SEC EDGAR connector, once configured, provides filing-level history).
		58	+
		59	+## Provenance recorded per row / file
		60	+vendor + product (`sources`), endpoint + sanitized request (`raw_archives.request`), retrieval timestamp (`raw_archives.fetched_at`, `ingested_at`), vendor update date (`raw_archives.vendor_last_update`), archive sha256, Parquet sha256 (`lake_files`), dataset version + snapshot id (`dataset_versions`, `X-Dataset-Version` header), transformation code version (`ingest_runs.code_version` = git short SHA), completeness (`coverage`), license class (`datasets.license_class`).

added docs/DISCOVERY.md +124 −0

				@@ -0,0 +1,124 @@
		1	+# FinData OS — Discovery report (Phase 0)
		2	+
		3	+Date: 2026-11-01 (America/Toronto). Author: Claude Code session for the owner (spbou4@icloud.com).
		4	+All vendor probes below were run **from the storage node M3U96a**, with the vendor user id read from
		5	+`~/findata-secrets/frd.env` (mode 600) and redacted as `<KEY>` in every log and document.
		6	+
		7	+## 1. Cluster inventory and storage node selection
		8	+
		9	+Measured on 2026-11-01 (`df -H /`, `diskutil info disk0`, `uptime`, `pm2 jlist`). Three nodes were unreachable at
		10	+probe time (M4M36, M2M32, M2M32b — SSH timeout) and were excluded.
		11	+
		12	+| Node | SSD | Free | RAM | Cores | SMART | Load (1m) | Already hosts |
		13	+|---|---|---:|---:|---:|---|---:|---|
		14	+| **M3U96a** | APPLE SSD AP1024Z (1 TB) | **508 GB** | 96 GB | 32 | Verified | 1.8 | admin-ka, vrai-prix, job-ka, sorti-ka, qc26 (≈2 GB RSS total) |
		15	+| M3U96b | APPLE SSD AP1024Z (1 TB) | 424 GB | 96 GB | 32 | Verified | 1.8 | toveli, autoscholar, UQO_RESEARCH_DB 232 GB, ovh-retired backups 26 GB |
		16	+| M4M64a | APPLE SSD AP1024Z (1 TB) | 778 GB | 64 GB | 16 | Verified | 2.2 | lou-ka, fabri-ka, ka-stats, uqo-chat, pdb-api, maclustr-www, agentd, maclustr-mobile |
		17	+| M2U64 | APPLE SSD AP1024Z (1 TB) | 339 GB | 64 GB | 24 | Verified | 1.6 | spb-cloud, vquant, uqo-eval, console, appmanager, nodepages, spboucher-ai, food-ka |
		18	+| M4M64c | APPLE SSD AP0512Z (512 GB) | 342 GB | 64 GB | 16 | Verified | 2.2 | akos, chat, note |
		19	+| others | 512 GB class | 216–448 GB | 16–48 GB | 10–18 | Verified | — | — |
		20	+
		21	+**Decision: M3U96a.** Rationale:
		22	+- Largest compute (32 cores, 96 GB RAM) for DuckDB/Polars analytical reads, with 1 TB internal NVMe (SMART verified).
		23	+- Measured sequential write 5.1 GB/s (`dd` 2 GiB), read 21.8 GB/s (page-cache assisted) — more than enough for Parquet compaction.
		24	+- 508 GB free fits the capacity model below with ≥2× headroom; M4M64a has more free space but is the agentd/mobile
		25	+ coordinator node, carries the heaviest Ka apps (lou-ka 1.3 GB RSS) and has half the cores.
		26	+- PostgreSQL 17.10, Redis 8.8, uv, pm2 6 and Node 25 are already installed; wg1 tunnel peer 10.67.0.10 is up (handshake < 2 min).
		27	+- Backup target: **M4M64a** (778 GB free, same LAN, 1 TB SSD) via rsync; restore drill documented in `docs/OPERATIONS.md`.
		28	+- Nothing is wiped or repartitioned: the lake lives in `~/findata-lake/` on the existing APFS volume.
		29	+
		30	+Network: LAN 192.168.2.x (1 Gbit+), public egress via Bell Giga Hub (TCP 80/443 + UDP 53 only; WireGuard to BHS64 uses UDP 443).
		31	+Reverse proxy / TLS: Caddy on BHS64 (OVH Beauharnois), WireGuard hub 10.67.0.1. DNS `findata.spboucher.ai → 51.161.112.61` **verified
		32	+present** (`dig +short`) before any change; the route is added with `mld deploy` (`tunnel.domain` in the manifest), no other route touched.
		33	+Existing auth/monitoring: none shared across apps; agentd (M4M64a:9210) polls PM2 + health paths; `mld heal` every 5 min.
		34	+
		35	+## 2. Vendor identification
		36	+
		37	+"First Trade Data" = **FirstRate Data** (firstratedata.com). Evidence: the doc URL given by the owner
		38	+(`https://firstratedata.com/c/market-data-api/<KEY>`), the prior platform `hfmarketdata` (spbgit `hfmarketdata.git`, retired 2026-10-02)
		39	+whose `frd_downloader.py` used `FRD_USERID` against `https://firstratedata.com/api`, and the official docs at
		40	+`https://firstratedata.com/about/api-docs`, `/about/license`, `/about/FAQ`, `/_readme/stock.txt`, `/fundamental-data/*`.
		41	+
		42	+Auth: the user id is a **query parameter** (`userid=<KEY>`) on both the market-data API and the fundamentals API (`/api-f`, where the
		43	+page says `api_key=` but only `userid=` is accepted — `api_key=` returned HTTP 403 on 2026-11-01). The key therefore appears in URLs:
		44	+the connector never logs full URLs, redacts the parameter in every exception message, and the HTTP client disables request logging.
		45	+
		46	+## 3. Capability matrix (verified 2026-11-01)
		47	+
		48	+Legend: **confirmed** = probed with the owner's key and a real response; **doc** = documented, not yet exercised; **unsupported** = vendor
		49	+says no; **unknown** = not determinable without a paid/bulk call.
		50	+
		51	+| Capability | Status | Evidence |
		52	+|---|---|---|
		53	+| `last_update?type=stock|etf|futures|index|options` | confirmed | all return `2026-10-30` (crypto `2026-10-31`, fx returns `20261030` — different format!) |
		54	+| `ticker_listing?type=stock` | confirmed | 16 313 rows (`Ticker,Name,First Date,Last Date`), 8 069 `-DELISTED` suffixes |
		55	+| `ticker_listing?type=etf` | confirmed | 5 100 rows |
		56	+| `update_log?type=stock&log_type=delisted` | confirmed | 1 355 rows (`Ticker,Last Date`) |
		57	+| `meta_file splits` / `dividends` | confirmed | 302 → zip (Backblaze B2) of per-ticker `{date,ratio}` / `{exdate,amount}` files: 2 963 / 3 900 files |
		58	+| `data_file type=stock period=day timeframe=1min adjustment=UNADJUSTED` | confirmed | 302 → `https://x01.frd-data.com/…zip`, 15.76 MB zip, 6 515 files, 66.4 MB raw, no header, `yyyy-MM-dd HH:mm:ss,O,H,L,C,V`, 04:00–19:59 ET (extended hours), bar **open** timestamps |
		59	+| `data_file period=full&ticker_range=A-Z` (stock/etf, 1min/5min/30min/1hour/1day, adj_split/adj_splitdiv/UNADJUSTED*) | doc | *UNADJUSTED only 1min + 1day. Bundle size ≈ 34 GB zip / 380 GB raw for stocks+ETFs. **Not downloaded yet** (bounded backfill in Phase 5 only) |
		60	+| `full_update period=day|week` (re-adjusted histories) | doc | needed to repair adjusted series after splits/dividends |
		61	+| `delisted_data_file archive_number=1..5 / update=week|year` | doc | archives count inconsistent in docs (4 vs 5) |
		62	+| futures (continuous ×3 adjustments + individual contracts), index, fx, crypto | confirmed license (last_update) ; doc endpoints | FX intraday = `yyyyMMdd,HH:mm:ss,…` two-field datetime; crypto timestamps UTC; index has no volume; futures daily bars follow the contract trading day |
		63	+| options (EOD only, CBOE feed, Greeks) | confirmed license ; doc | no intraday options; bundle only; 70 GB zip incl. options |
		64	+| quotes / trades / ticks | **unsupported** | vendor provides bars only |
		65	+| Fundamentals `/api-f/v1/financials/all/{ticker}/{annual|quarterly}` | confirmed | AAPL: 14 annual / 59 quarterly records, 76 fields incl. `period_end`, `filing_date`, `fiscal_year`, `fiscal_period`, `actual_year`, `actual_period` |
		66	+| `/api-f/v1/financials/single/{ticker}?period=FY|Q1..Q4&year=` | doc | |
		67	+| `/api-f/v1/earnings_release/t/{ticker}`, `/calendar/{start}/{end}` | confirmed | AAPL 115 records (`date, eps_estimate, eps_reported, release_time`) |
		68	+| `/api-f/v1/metrics/t/{ticker}/{start}/{end}`, `/metrics/last` | confirmed | daily valuation metrics (pe_ttm, market_cap, ev, …) |
		69	+| `/api-f/v1/short_interest`, `/short_volume`, `/social_sentiment` | doc | parameter tables only |
		70	+| Fundamentals revisions / restatement history | **unknown** | vendor exposes one value per (ticker, period) with `filing_date`; no "as originally reported vs restated" flag → we snapshot each ingestion run and version rows ourselves (see ARCHITECTURE §PIT) |
		71	+| Shares outstanding | confirmed (field `shares`, `shares_av`, `shares_av_diluted`) | |
		72	+| Corporate actions | confirmed splits + cash dividends only | no mergers/spin-offs |
		73	+| Identifier history | partial | ticker changes merged under latest ticker (since 2022), delisted suffixed `-DELISTED`; no CUSIP/ISIN/CIK from vendor → CIK mapping via SEC `company_tickers.json` (connector `sec_edgar`, pending configuration) |
		74	+| Rate limits / quotas | none documented ("There are no rate limits") | we still budget 2 concurrent downloads, 1 req/s metadata |
		75	+| Pagination | none | whole zip archives |
		76	+| Historical depth | stocks from 2000 (ticker listing first dates), options 2010, short data 2021 | |
		77	+| Update schedule | docs conflict (23:30 ET / 01:00 ET / 02:00–03:00 ET for full) | policy: poll `last_update` before every incremental job |
		78	+
		79	+Sanitized probe transcripts: `docs/evidence/phase0-probes.md`.
		80	+
		81	+## 4. License (FirstRate Data, `/about/license`, `/about/FAQ`)
		82	+
		83	+- Perpetual private use; data may be stored on own servers, loaded into databases, used for research, backtests, model training, derived
		84	+ statistics and charts. Attribution to FirstRate Data required when publishing research.
		85	+- **Prohibited**: redistributing raw data to third parties (CSV downloads, an API returning bars, tables of prices/volumes), reselling, sharing
		86	+ the user id. Multi-user only within a single institution with a multi-user license.
		87	+- Consequence for FinData OS: **owner-only by default**; every API token is scoped; the console shows a license banner; no public routes
		88	+ return bars; exports are owner-scoped and expire. The `license_class` column is `frd-private` on every vendor row.
		89	+
		90	+## 5. Capacity model (1-minute data)
		91	+
		92	+Measured: one full trading day of 1-min UNADJUSTED bars for 6 515 stocks = 66.4 MB CSV (15.8 MB zip). Parquet ZSTD(3) with typed
		93	+columns compresses FirstRate CSV ≈ 5–6× (prior hfmarketdata lake: 26.5 G rows in 350 GB incl. options → ≈ 13 bytes/row).
		94	+
		95	+| Scenario | Rows | Raw zip kept | Curated Parquet | Total incl. 15 % index/manifests + backup copy ×1 |
		96	+|---|---:|---:|---:|---:|
		97	+| Stocks, 1-min UNADJUSTED, 1 year incremental (252 d) | ≈ 7.5 × 10⁷ × … ≈ 1.6 × 10⁸ (avg 100 bars/sym/day × 6 500 × 252) | 4 GB | 2.5 GB | ≈ 15 GB |
		98	+| Stocks + ETFs, 1-min, full history 2000→2026, one adjustment | ≈ 1.5 × 10¹⁰ | 34 GB (bundle) | ≈ 190 GB | ≈ 500 GB (with backup on M4M64a) |
		99	+| + 5-min derived | +20 % | — | +40 GB | |
		100	+| Full vendor bundle all timeframes/adjustments (not planned) | ≈ 2.6 × 10¹⁰ | 70 GB | 350 GB | > 800 GB — exceeds single-node budget |
		101	+
		102	+Budget rule adopted: lake ≤ 300 GB on M3U96a (alert at 250 GB, hard stop at 60 GB free), raw zips retained for **incremental** archives
		103	+only (immutability proof) and deleted after checksum + Parquet publication for **full** archives (the zip is re-downloadable; its SHA-256 is
		104	+kept in the manifest). Full backfill is executed by letter range and by adjustment on explicit operator request (`findata ingest backfill`).
		105	+
		106	+## 6. Existing code and integration points
		107	+
		108	+- `hfmarketdata.git` (spbgit): `frd_downloader.py` (job plan, resume manifest, CSV→Parquet via DuckDB, zip quirks: nested zips, mixed
		109	+ LF/CRLF, FX two-field datetime, volume decimals) and `hfmarketdata/api/fundamentals/edgar_client.py` (SEC companyfacts) are reused as
		110	+ knowledge; code is rewritten under the FinData contracts (raw immutability, provenance, PIT).
		111	+- `mld` (M1M32): deployment, tunnel route, heal. Manifest `M1M32:~/dispatch/apps/findata.json`.
		112	+- agentd (M4M64a): auto-discovers PM2 processes and health paths from the registry.
		113	+- Postgres 17 local on M3U96a (`findata` role + database created 2026-11-01, localhost only). Redis 8 available (not used in v1: job queue
		114	+ is Postgres-backed with `SELECT … FOR UPDATE SKIP LOCKED`, durable across reboots).
		115	+
		116	+## 7. Blocked / deferred (honest list)
		117	+
		118	+- Fundamentals **revision history**: not provided by the vendor; FinData versions rows per ingestion run (`observed_at`) and flags value
		119	+ changes as `restatement_flag=true`. Historical restatements before the first ingestion are unknowable from this vendor.
		120	+- SEC EDGAR connector: implemented as a modular connector with fixture tests, **pending configuration** (requires a declared User-Agent
		121	+ contact e-mail per SEC fair-access policy; no secret).
		122	+- Full multi-year 1-min backfill: deferred to Phase 5 (representative letter range), on operator request because of disk budget.
		123	+- Options, futures contracts, FX, crypto, index: capability confirmed; connectors implement the file layouts; **ingestion not run** in
		124	+ Phase 2 (one licensed dataset end-to-end = US stocks 1-min UNADJUSTED).

added docs/OPERATIONS.md +52 −0

				@@ -0,0 +1,52 @@
		1	+# FinData OS — Operations
		2	+
		3	+Node: **M3U96a** (`ssh M3U96a`). App: `~/apps/findata` (git clone, remote-first). Lake: `~/findata-lake`. Secrets: `~/apps/findata/.env` (600; laptop copy `~/Desktop/Cluster/secrets/findata/.env`). Processes (PM2): `findata-api` (:8600), `findata-worker`.
		4	+
		5	+## Daily operation
		6	+```bash
		7	+ssh M3U96a
		8	+cd ~/apps/findata && set -a && . ./.env && set +a
		9	+.venv/bin/findata status # lake usage, dataset versions, queue
		10	+.venv/bin/findata ingest jobs # last jobs (status, attempts, error)
		11	+pm2 logs findata-worker --lines 100 # structured JSON logs (secrets redacted)
		12	+curl -s 127.0.0.1:8600/api/v1/health | jq # alerts (anonymous → status only; use the console for details)
		13	+```
		14	+Scheduler (inside the worker, America/New_York): incremental `day` polling from 02:00 every 30 min (skips when the vendor's `last_update` is unchanged), Saturday 06:00 `week` repair, Sunday 07:00 metadata + compaction, 05:00 fundamentals (tracked tickers), 04:00 backup, 06:00 quality + gc.
		15	+
		16	+## Manual jobs
		17	+```bash
		18	+.venv/bin/findata ingest incremental --type stock --period day [--force]
		19	+.venv/bin/findata ingest backfill Z --type stock # one letter archive (bounded; check free space first)
		20	+.venv/bin/findata ingest fundamentals AAPL,MSFT,NVDA
		21	+.venv/bin/findata ingest derive --dates 2026-10-30
		22	+.venv/bin/findata ingest compaction --min-age-days 35
		23	+.venv/bin/findata backup && .venv/bin/findata restore-drill
		24	+```
		25	+Jobs can also be enqueued/retried/cancelled from the console (Ingestion page) or `POST /api/v1/admin/jobs`.
		26	+
		27	+## Deployment (mld, from the laptop)
		28	+```bash
		29	+~/Desktop/cluster-skill/mld deploy findata # pinned to M3U96a; runs post_sync hooks (uv sync, web build, migrate)
		30	+~/Desktop/cluster-skill/mld status --live
		31	+```
		32	+Remote-first: edit on the node, `pm2 restart findata-api findata-worker`, then `git commit && git push origin main` (origin = spbgit `findata.git`).
		33	+
		34	+## Backups, RPO / RTO
		35	+- Daily 04:00 ET: `pg_dump | zstd` (14 kept) + `rsync -a --delete` of `~/findata-lake` (minus `_tmp`, `_retired`, `exports`) → `M4M64a:~/backups/findata/{lake,pgdump}`; remote file count compared with local (`verified`).
		36	+- **RPO**: 24 h for metadata and curated data (raw archives are re-downloadable from the vendor while the subscription is active; sha256 kept). **RTO**: ≈ 30 min for metadata (restore dump, start API) + lake copy time over LAN (≈ 1 Gbit/s → 100 GB in 15–20 min).
		37	+- Restore drill: `findata restore-drill --dest /tmp/findata-restore-drill` restores the latest dump into a scratch database, copies one dataset back and verifies every Parquet sha256 against the manifest. Record the output in `docs/STATUS.md`.
		38	+- Full restore procedure: (1) `createdb findata && zstd -dc dump.sql.zst | psql findata`; (2) `rsync -a M4M64a:~/backups/findata/lake/ ~/findata-lake/`; (3) `findata migrate`; (4) start PM2 processes; (5) `findata status` must show the same versions as the dump.
		39	+
		40	+## Monitoring
		41	+- `GET /metrics` (Prometheus text; allowed from private addresses or admin): `findata_lake_free_gb`, `findata_lake_curated_bytes`, `findata_jobs{status}`, `findata_dataset_freshness_days`, `findata_vendor_lag_days`, `findata_backup_age_hours`, `findata_quality_anomalies_7d`, HTTP counters/latency. Alert rules: `infra/prometheus/findata-alerts.yml`.
		42	+- `GET /api/v1/health` (authenticated): SSD SMART status, lake budget, worker lock, dead jobs, staleness vs vendor, backup age.
		43	+- agentd (M4M64a) and `mld heal` keep PM2 processes up; the console Overview shows the same alerts.
		44	+
		45	+## Incident playbook
		46	+| Symptom | Action |
		47	+|---|---|
		48	+| `worker_down` alert | `pm2 restart findata-worker`; a second worker is refused by the lake lock (by design) |
		49	+| job `dead` | inspect `last_error` (console → Ingestion), fix, **Retry** |
		50	+| `disk_low/critical` | stop backfills, run `gc`, review `_retired/` and `raw/`; raise budget only after adding storage |
		51	+| vendor 403 / HTML instead of zip | subscription or key issue — check the customer page; never paste the key into chat or code |
		52	+| stale dataset | vendor publishes 23:30–03:00 ET; `findata ingest incremental --force` after confirming `last_update` |

added docs/SECURITY.md +10 −0

				@@ -0,0 +1,10 @@
		1	+# Security notes
		2	+- Secrets: `.env` on the node only (mode 600), never in git, never sent to the browser; `Settings` are `SecretStr`; structlog redaction processor + regex on `userid|api_key|token|password|secret=`; httpx logging silenced. Tests assert the vendor id never appears in API responses, OpenAPI, audit, job results or raw-archive metadata.
		3	+- Auth: argon2id passwords, TOTP (pyotp) with obfuscated secret storage, 12 h sessions (hashed ids), CSRF double-submit on every non-GET browser request, SameSite=Strict + Secure + HttpOnly cookies, login rate limit (10/min/IP).
		4	+- API keys: `fd_<prefix>.<secret>`, HMAC-SHA256 hashed, scopes `read:market read:fundamentals query export admin`, optional expiry, revocation, per-key rate limit, daily usage rows.
		5	+- Transport: TLS at the MacLustr Tunnel (Caddy, BHS64); API bound to 127.0.0.1; HSTS; CSP `default-src 'self'`; `X-Frame-Options: DENY`; request ids on every response.
		6	+- Query sandbox: DuckDB in-memory, `allowed_directories` = lake curated/_retired, `enable_external_access=false`, single SELECT/WITH statement, keyword deny-list, timeout, row cap.
		7	+- Exports: owner/principal scoped, 72 h expiry, served from `lake/exports` only.
		8	+- Dependency scanning: `make audit` (pip-audit) in CI (`.github`-less: run on the node before deploy; results in STATUS.md).
		9	+- Encryption at rest: Apple internal SSD; FileVault is **disabled** on M3U96a by cluster policy (auto-login after power loss, decision 2026-09-10). Backups go over SSH to a LAN node with the same policy. If encryption at rest becomes a requirement, enable FileVault on M3U96a and M4M64a (trade-off: unattended reboot requires a manual unlock).
		10	+- License: FirstRate Data private use — the platform exposes no public data route; redistribution of bars/tables to third parties is prohibited and surfaced in the console and the API catalog.

added docs/evidence/phase0-probes.md +32 −0

				@@ -0,0 +1,32 @@
		1	+# Phase 0 — sanitized vendor probes (2026-11-01, run on M3U96a)
		2	+
		3	+```
		4	+last_update stock : 2026-10-30
		5	+last_update etf : 2026-10-30
		6	+last_update futures : 2026-10-30
		7	+last_update crypto : 2026-10-31
		8	+last_update index : 2026-10-30
		9	+last_update fx : 20261030
		10	+last_update options : 2026-10-30
		11	+last_update stock (is_full_update=true): 2026-10-30
		12	+ticker_listing stock : 16314 lines (header + 16313), 8069 "-DELISTED"
		13	+ Ticker,Name,First Date,Last Date
		14	+ A,Agilent Technologies Inc,2000-01-04,2026-10-30
		15	+ticker_listing etf : 5101 lines
		16	+update_log delisted : 1356 lines (Ticker,Last Date)
		17	+meta_file splits : HTTP 302 → https://f004.backblazeb2.com/file/frd-apix03/stock_splits.zip ; 2963 files ; A.txt = "2014-11-03,1.398"
		18	+meta_file dividends : zip, 3900 files
		19	+data_file stock day 1min UNADJUSTED : HTTP 302 → https://x01.frd-data.com/stock_update_day_1min_UNADJUSTED_<token>.zip
		20	+ content-length 15759934 ; 6515 files ; 66413948 bytes raw ; e.g. AAPL_day_1min_UNADJUSTED.txt 900 lines
		21	+ 2026-10-30 04:00:00,350.76,351.6499,350.04,351.6499,4802
		22	+ 2026-10-30 09:30:00,346.63,348.51,346.62,348.26,1119437
		23	+ 2026-10-30 16:00:00,344.8,345.01,344.63,344.79,12902672
		24	+ 2026-10-30 19:59:00,345.0933,345.1,345.0933,345.1,852
		25	+api-f v1/financials/all/AAPL/annual?type=json&api_key=<KEY> → 403
		26	+api-f v1/financials/all/AAPL/annual?type=json&userid=<KEY> → 200 application/json, 22064 bytes, count=14
		27	+api-f v1/financials/all/AAPL/quarterly → 200, count=59, 76 fields
		28	+ latest: period_end 2026-06-27, period_type q, filing_date 2026-07-31, fiscal_year 2026, fiscal_period q3, actual_year 2026, actual_period q2
		29	+api-f v1/earnings_release/t/AAPL → 200, count=115
		30	+api-f v1/metrics/t/AAPL/2026-01-01/2026-01-10 → 200, count=6
		31	+SSD: dd 2 GiB write 5.15 GB/s ; read 21.8 GB/s (cached)
		32	+```

added infra/mld/findata.json +34 −0

				@@ -0,0 +1,34 @@
		1	+{
		2	+ "app": "findata",
		3	+ "label": "FinData OS — private financial data lakehouse (findata.spboucher.ai)",
		4	+ "domain": "findata.spboucher.ai",
		5	+ "port": 8600,
		6	+ "health_path": "/api/v1/health",
		7	+ "dir": "~/apps/findata",
		8	+ "extra_paths": [],
		9	+ "sync_excludes": [".git/", ".DS_Store", ".venv/", "apps/web/node_modules/", "apps/web/.next/", "apps/web/out/", "data/", "logs/", "backups/", ".env", "__pycache__/", ".pytest_cache/", ".ruff_cache/", "tests/_tmp/"],
		10	+ "requires": { "runtimes": ["uv", "node", "pnpm", "pm2", "postgresql@17"], "ram_gb": 6, "disk_gb": 300, "ports": [8600] },
		11	+ "ram_mb_observed": 900,
		12	+ "size_mb": 20,
		13	+ "placement": { "pin": "M3U96a", "prefer": "M3U96a", "avoid": ["M1M32"], "reason": "Storage node chosen in docs/DISCOVERY.md: 1 TB Apple NVMe (508 GB free, SMART verified, 5 GB/s), 32 cores / 96 GB for DuckDB, Postgres 17 + Redis already local, wg1 10.67.0.10. Lake at ~/findata-lake (outside the app dir)." },
		14	+ "processes": [
		15	+ { "name": "findata-api", "manager": "pm2", "script": "{{HOME}}/apps/findata/.venv/bin/python", "args": ["-m", "uvicorn", "findata_api.main:app", "--host", "127.0.0.1", "--port", "8600", "--workers", "1", "--proxy-headers", "--forwarded-allow-ips", "10.67.0.1,127.0.0.1"], "interpreter": null, "cwd": "{{HOME}}/apps/findata", "env": {"FINDATA_ROOT": "{{HOME}}/apps/findata", "PATH": "/opt/homebrew/opt/postgresql@17/bin:/opt/homebrew/bin:/usr/bin:/bin:/usr/sbin:/sbin"}, "cron_restart": null, "autorestart": true, "max_memory_restart": "6G" },
		16	+ { "name": "findata-worker", "manager": "pm2", "script": "{{HOME}}/apps/findata/.venv/bin/python", "args": ["-m", "findata_ingest.cli", "worker"], "interpreter": null, "cwd": "{{HOME}}/apps/findata", "env": {"FINDATA_ROOT": "{{HOME}}/apps/findata", "PATH": "/opt/homebrew/opt/postgresql@17/bin:/opt/homebrew/bin:/usr/bin:/bin:/usr/sbin:/sbin"}, "cron_restart": null, "autorestart": true, "max_memory_restart": "24G" }
		17	+ ],
		18	+ "ngrok": null,
		19	+ "launchd": [],
		20	+ "env_overrides": {},
		21	+ "hooks": {
		22	+ "post_sync": [
		23	+ "test -f .env || { echo 'ERREUR: .env absent (secrets) — copier ~/Desktop/Cluster/secrets/findata/.env'; exit 1; }; chmod 600 .env",
		24	+ "export PATH=\"/opt/homebrew/bin:$HOME/.local/bin:$PATH\"; uv sync --frozen 2>&1 | tail -1 && echo ' python deps ok'",
		25	+ "export PATH=\"/opt/homebrew/bin:$PATH\"; cd apps/web && pnpm install --frozen-lockfile --silent && pnpm build 2>&1 | tail -2 && echo ' web build ok'",
		26	+ "export PATH=\"/opt/homebrew/opt/postgresql@17/bin:/opt/homebrew/bin:$PATH\"; set -a; . ./.env; set +a; .venv/bin/python -m findata_ingest.cli migrate && echo ' migrations ok'",
		27	+ "mkdir -p ~/findata-lake logs && chmod 700 ~/findata-lake && echo ' lake dir ok'"
		28	+ ],
		29	+ "post_start": []
		30	+ },
		31	+ "ka_repo": false,
		32	+ "tunnel": { "domain": "findata.spboucher.ai", "gateway": "BHS64", "note": "DNS GoDaddy A findata.spboucher.ai → 51.161.112.61 vérifié le 2026-11-01 avant déploiement ; route Caddy posée par mld deploy ; findata-api écoute 127.0.0.1 seulement (Caddy → wg1 10.67.0.10:8600 via le proxy du nœud)" },
		33	+ "notes": "Monorepo uv (Python 3.13) : services/api (FastAPI :8600, sert aussi la console Next.js statique apps/web/out), services/ingest (worker unique = verrou d'écriture du lac + ordonnanceur), lac Parquet ~/findata-lake, Postgres 17 local (DB findata, rôle findata). Secrets uniquement dans ~/apps/findata/.env (600) ; copie ~/Desktop/Cluster/secrets/findata/.env. Sauvegarde quotidienne 04:00 ET → M4M64a:~/backups/findata (rsync + pg_dump zstd). CLI : .venv/bin/findata status|discover|ingest …"
		34	+}

added infra/prometheus/findata-alerts.yml +41 −0

				@@ -0,0 +1,41 @@
		1	+# Prometheus alert rules for FinData OS (scrape http://<node-lan-ip>:8600/metrics from a private address; the
		2	+# endpoint also evaluates docs/OPERATIONS.md health checks on every scrape).
		3	+groups:
		4	+ - name: findata
		5	+ rules:
		6	+ - alert: FinDataLakeDiskLow
		7	+ expr: findata_lake_free_gb < 120
		8	+ for: 30m
		9	+ labels: {severity: warning}
		10	+ annotations: {summary: "Lake volume below 120 GB free"}
		11	+ - alert: FinDataLakeDiskCritical
		12	+ expr: findata_lake_free_gb < 60
		13	+ for: 5m
		14	+ labels: {severity: critical}
		15	+ annotations: {summary: "Lake volume below the 60 GB hard stop — ingestion refuses to write"}
		16	+ - alert: FinDataIngestDeadJobs
		17	+ expr: findata_jobs{status="dead"} > 0
		18	+ for: 10m
		19	+ labels: {severity: critical}
		20	+ annotations: {summary: "Jobs in the dead-letter queue"}
		21	+ - alert: FinDataStaleBars
		22	+ expr: findata_vendor_lag_days{dataset="market_bars.stock.1m.raw"} > 0
		23	+ for: 6h
		24	+ labels: {severity: warning}
		25	+ annotations: {summary: "1-minute bars are behind the vendor's last_update"}
		26	+ - alert: FinDataNoRecentSession
		27	+ expr: findata_dataset_freshness_days{dataset="market_bars.stock.1m.raw"} > 5
		28	+ for: 1h
		29	+ labels: {severity: warning}
		30	+ - alert: FinDataBackupStale
		31	+ expr: findata_backup_age_hours > 48
		32	+ for: 1h
		33	+ labels: {severity: warning}
		34	+ - alert: FinDataApiLatency
		35	+ expr: histogram_quantile(0.95, sum(rate(findata_http_request_seconds_bucket[5m])) by (le, route)) > 5
		36	+ for: 15m
		37	+ labels: {severity: warning}
		38	+ - alert: FinDataQualityErrors
		39	+ expr: findata_quality_anomalies_7d{severity="error"} > 100
		40	+ for: 1h
		41	+ labels: {severity: warning}

added infra/scripts/node-bootstrap.sh +10 −0

				@@ -0,0 +1,10 @@
		1	+#!/bin/bash
		2	+# One-time preparation of the storage node (run ON the node). Idempotent.
		3	+set -euo pipefail
		4	+export PATH="/opt/homebrew/opt/postgresql@17/bin:/opt/homebrew/bin:$HOME/.local/bin:$PATH"
		5	+psql -h localhost -d postgres -tAc "select 1 from pg_roles where rolname='findata'" | grep -q 1 || psql -h localhost -d postgres -c "create role findata login password '$(openssl rand -hex 16)'"
		6	+psql -h localhost -d postgres -tAc "select 1 from pg_database where datname='findata'" | grep -q 1 || createdb -h localhost -O findata findata
		7	+mkdir -p ~/findata-lake ~/apps/findata/logs && chmod 700 ~/findata-lake
		8	+command -v pnpm >/dev/null || npm install -g pnpm
		9	+command -v zstd >/dev/null || brew install zstd
		10	+echo "node ready: $(hostname) — lake $HOME/findata-lake ($(df -H ~ | tail -1 | awk '{print $4}') free)"

added packages/core/pyproject.toml +15 −0

				@@ -0,0 +1,15 @@
		1	+[project]
		2	+name = "findata-core"
		3	+version = "0.1.0"
		4	+requires-python = ">=3.12"
		5	+dependencies = [
		6	+ "pydantic>=2.9",
		7	+ "pydantic-settings>=2.6",
		8	+ "psycopg[binary,pool]>=3.2",
		9	+ "structlog>=24.4",
		10	+]
		11	+[build-system]
		12	+requires = ["hatchling"]
		13	+build-backend = "hatchling.build"
		14	+[tool.hatch.build.targets.wheel]
		15	+packages = ["src/findata_core"]

added packages/core/src/findata_core/__init__.py +2 −0

				@@ -0,0 +1,2 @@
		1	+"""findata_core — configuration, secrets redaction, database access, lake paths, clock."""
		2	+from findata_core.config import Settings, get_settings # noqa: F401

added packages/core/src/findata_core/clock.py +15 −0

				@@ -0,0 +1,15 @@
		1	+from __future__ import annotations
		2	+
		3	+from datetime import UTC, datetime
		4	+
		5	+
		6	+def utcnow() -> datetime:
		7	+ return datetime.now(UTC)
		8	+
		9	+
		10	+def iso(dt: datetime | None) -> str | None:
		11	+ if dt is None:
		12	+ return None
		13	+ if dt.tzinfo is None:
		14	+ dt = dt.replace(tzinfo=UTC)
		15	+ return dt.astimezone(UTC).isoformat().replace("+00:00", "Z")

added packages/core/src/findata_core/config.py +72 −0

				@@ -0,0 +1,72 @@
		1	+from __future__ import annotations
		2	+
		3	+from functools import lru_cache
		4	+from pathlib import Path
		5	+
		6	+from pydantic import Field, SecretStr
		7	+from pydantic_settings import BaseSettings, SettingsConfigDict
		8	+
		9	+
		10	+class Settings(BaseSettings):
		11	+ """Runtime settings. Secrets are `SecretStr` so that `repr()`/logging never prints them."""
		12	+
		13	+ model_config = SettingsConfigDict(env_prefix="FINDATA_", env_file=".env", env_file_encoding="utf-8", extra="ignore")
		14	+
		15	+ env: str = "development"
		16	+ root: Path = Field(default_factory=lambda: Path.cwd())
		17	+ lake: Path = Field(default_factory=lambda: Path.cwd() / "data" / "lake")
		18	+ database_url: SecretStr = SecretStr("postgresql://findata:findata-local@127.0.0.1:5432/findata")
		19	+ bind_host: str = "127.0.0.1"
		20	+ bind_port: int = 8600
		21	+ public_url: str = "http://127.0.0.1:8600"
		22	+ secret_key: SecretStr = SecretStr("dev-only-change-me-dev-only-change-me")
		23	+ lake_soft_limit_gb: float = 250.0
		24	+ lake_hard_min_free_gb: float = 60.0
		25	+ backup_target: str = ""
		26	+ # vendor + optional providers (no FINDATA_ prefix: read explicitly)
		27	+ frd_userid: SecretStr = Field(default=SecretStr(""), validation_alias="FRD_USERID")
		28	+ sec_edgar_user_agent: str = Field(default="", validation_alias="SEC_EDGAR_USER_AGENT")
		29	+ anthropic_api_key: SecretStr = Field(default=SecretStr(""), validation_alias="ANTHROPIC_API_KEY")
		30	+ openai_api_key: SecretStr = Field(default=SecretStr(""), validation_alias="OPENAI_API_KEY")
		31	+ # web static bundle
		32	+ web_dist: Path | None = None
		33	+ # rate limiting defaults (per API key / session)
		34	+ rate_limit_per_minute: int = 600
		35	+ query_timeout_seconds: int = 30
		36	+ query_max_rows: int = 100_000
		37	+ bars_max_rows_json: int = 50_000
		38	+ export_ttl_hours: int = 72
		39	+
		40	+ @property
		41	+ def is_production(self) -> bool:
		42	+ return self.env == "production"
		43	+
		44	+ @property
		45	+ def raw_dir(self) -> Path:
		46	+ return self.lake / "raw"
		47	+
		48	+ @property
		49	+ def curated_dir(self) -> Path:
		50	+ return self.lake / "curated"
		51	+
		52	+ @property
		53	+ def exports_dir(self) -> Path:
		54	+ return self.lake / "exports"
		55	+
		56	+ @property
		57	+ def tmp_dir(self) -> Path:
		58	+ return self.lake / "_tmp"
		59	+
		60	+ def secret_values(self) -> list[str]:
		61	+ """Every secret string that must never appear in logs or error messages."""
		62	+ vals = [self.frd_userid.get_secret_value(), self.anthropic_api_key.get_secret_value(),
		63	+ self.openai_api_key.get_secret_value()]
		64	+ pw = self.database_url.get_secret_value()
		65	+ if "@" in pw and ":" in pw.split("@")[0]:
		66	+ vals.append(pw.split("@")[0].rsplit(":", 1)[-1])
		67	+ return [v for v in vals if v and len(v) >= 6]
		68	+
		69	+
		70	+@lru_cache
		71	+def get_settings() -> Settings:
		72	+ return Settings()

added packages/core/src/findata_core/db.py +85 −0

				@@ -0,0 +1,85 @@
		1	+"""PostgreSQL access (psycopg 3, connection pool) and SQL migrations."""
		2	+from __future__ import annotations
		3	+
		4	+import hashlib
		5	+from contextlib import contextmanager
		6	+from importlib import resources
		7	+from typing import Any, Iterator
		8	+
		9	+import psycopg
		10	+from psycopg.rows import dict_row
		11	+from psycopg_pool import ConnectionPool
		12	+
		13	+from findata_core.config import get_settings
		14	+
		15	+_pool: ConnectionPool | None = None
		16	+
		17	+
		18	+def get_pool() -> ConnectionPool:
		19	+ global _pool
		20	+ if _pool is None:
		21	+ s = get_settings()
		22	+ _pool = ConnectionPool(s.database_url.get_secret_value(), min_size=1, max_size=8, open=True,
		23	+ kwargs={"row_factory": dict_row, "autocommit": False})
		24	+ return _pool
		25	+
		26	+
		27	+def close_pool() -> None:
		28	+ global _pool
		29	+ if _pool is not None:
		30	+ _pool.close()
		31	+ _pool = None
		32	+
		33	+
		34	+@contextmanager
		35	+def connection() -> Iterator[psycopg.Connection[Any]]:
		36	+ pool = get_pool()
		37	+ with pool.connection() as conn:
		38	+ yield conn
		39	+
		40	+
		41	+@contextmanager
		42	+def transaction() -> Iterator[psycopg.Connection[Any]]:
		43	+ with connection() as conn:
		44	+ with conn.transaction():
		45	+ yield conn
		46	+
		47	+
		48	+def fetch_all(sql: str, params: Any = None) -> list[dict[str, Any]]:
		49	+ with connection() as conn:
		50	+ return conn.execute(sql, params).fetchall()
		51	+
		52	+
		53	+def fetch_one(sql: str, params: Any = None) -> dict[str, Any] | None:
		54	+ with connection() as conn:
		55	+ return conn.execute(sql, params).fetchone()
		56	+
		57	+
		58	+def execute(sql: str, params: Any = None) -> None:
		59	+ with transaction() as conn:
		60	+ conn.execute(sql, params)
		61	+
		62	+
		63	+def migrate(verbose: bool = True) -> list[str]:
		64	+ """Apply every `migrations/NNNN_*.sql` not yet recorded in `schema_migrations`. Idempotent."""
		65	+ applied: list[str] = []
		66	+ files = sorted(p for p in resources.files("findata_core.migrations").iterdir() if p.name.endswith(".sql"))
		67	+ with connection() as conn:
		68	+ conn.execute("CREATE TABLE IF NOT EXISTS schema_migrations (name text primary key, sha256 text not null, "
		69	+ "applied_at timestamptz not null default now())")
		70	+ conn.commit()
		71	+ done = {r["name"]: r["sha256"] for r in conn.execute("SELECT name, sha256 FROM schema_migrations").fetchall()}
		72	+ for f in files:
		73	+ sql = f.read_text(encoding="utf-8")
		74	+ digest = hashlib.sha256(sql.encode()).hexdigest()
		75	+ if f.name in done:
		76	+ if done[f.name] != digest:
		77	+ raise RuntimeError(f"migration {f.name} was modified after being applied")
		78	+ continue
		79	+ with conn.transaction():
		80	+ conn.execute(sql)
		81	+ conn.execute("INSERT INTO schema_migrations(name, sha256) VALUES (%s, %s)", (f.name, digest))
		82	+ applied.append(f.name)
		83	+ if verbose:
		84	+ print(f"applied {f.name}")
		85	+ return applied

added packages/core/src/findata_core/logging.py +33 −0

				@@ -0,0 +1,33 @@
		1	+from __future__ import annotations
		2	+
		3	+import logging
		4	+import sys
		5	+
		6	+import structlog
		7	+
		8	+from findata_core.config import get_settings
		9	+from findata_core.redact import RedactingFilter
		10	+
		11	+
		12	+def configure_logging(level: str = "INFO") -> None:
		13	+ settings = get_settings()
		14	+ logging.basicConfig(level=level, stream=sys.stdout, format="%(message)s")
		15	+ # Never let httpx/httpcore print request URLs (they contain the vendor user id).
		16	+ for noisy in ("httpx", "httpcore", "urllib3"):
		17	+ logging.getLogger(noisy).setLevel(logging.WARNING)
		18	+ structlog.configure(
		19	+ processors=[
		20	+ structlog.contextvars.merge_contextvars,
		21	+ structlog.processors.add_log_level,
		22	+ structlog.processors.TimeStamper(fmt="iso", utc=True),
		23	+ RedactingFilter(settings.secret_values()),
		24	+ structlog.processors.JSONRenderer() if settings.is_production else structlog.dev.ConsoleRenderer(),
		25	+ ],
		26	+ wrapper_class=structlog.make_filtering_bound_logger(logging.getLevelName(level)),
		27	+ logger_factory=structlog.PrintLoggerFactory(),
		28	+ cache_logger_on_first_use=False,
		29	+ )
		30	+
		31	+
		32	+def get_logger(name: str): # type: ignore[no-untyped-def]
		33	+ return structlog.get_logger(name)

added packages/core/src/findata_core/migrations/0001_init.sql +359 −0

				@@ -0,0 +1,359 @@
		1	+-- FinData OS metadata schema (PostgreSQL 17). Lake data itself lives in Parquet.
		2	+CREATE EXTENSION IF NOT EXISTS pgcrypto;
		3	+
		4	+CREATE TABLE users (
		5	+ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
		6	+ email text UNIQUE NOT NULL,
		7	+ password_hash text NOT NULL,
		8	+ role text NOT NULL CHECK (role IN ('owner','researcher','service')),
		9	+ totp_secret text,
		10	+ totp_enabled boolean NOT NULL DEFAULT false,
		11	+ disabled boolean NOT NULL DEFAULT false,
		12	+ created_at timestamptz NOT NULL DEFAULT now(),
		13	+ last_login_at timestamptz
		14	+);
		15	+
		16	+CREATE TABLE sessions (
		17	+ id text PRIMARY KEY,
		18	+ user_id uuid NOT NULL REFERENCES users(id) ON DELETE CASCADE,
		19	+ csrf_token text NOT NULL,
		20	+ mfa_passed boolean NOT NULL DEFAULT false,
		21	+ ip text, user_agent text,
		22	+ created_at timestamptz NOT NULL DEFAULT now(),
		23	+ expires_at timestamptz NOT NULL,
		24	+ revoked_at timestamptz
		25	+);
		26	+CREATE INDEX sessions_user_idx ON sessions(user_id);
		27	+
		28	+CREATE TABLE api_keys (
		29	+ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
		30	+ user_id uuid NOT NULL REFERENCES users(id) ON DELETE CASCADE,
		31	+ name text NOT NULL,
		32	+ prefix text NOT NULL UNIQUE,
		33	+ key_hash text NOT NULL,
		34	+ scopes text[] NOT NULL,
		35	+ rate_limit_per_minute integer NOT NULL DEFAULT 600,
		36	+ daily_row_quota bigint NOT NULL DEFAULT 50000000,
		37	+ expires_at timestamptz,
		38	+ last_used_at timestamptz,
		39	+ revoked_at timestamptz,
		40	+ created_at timestamptz NOT NULL DEFAULT now()
		41	+);
		42	+
		43	+CREATE TABLE usage_daily (
		44	+ principal text NOT NULL, -- 'key:<uuid>' or 'user:<uuid>'
		45	+ day date NOT NULL,
		46	+ requests bigint NOT NULL DEFAULT 0,
		47	+ rows_returned bigint NOT NULL DEFAULT 0,
		48	+ bytes_exported bigint NOT NULL DEFAULT 0,
		49	+ PRIMARY KEY (principal, day)
		50	+);
		51	+
		52	+CREATE TABLE audit_log (
		53	+ id bigserial PRIMARY KEY,
		54	+ at timestamptz NOT NULL DEFAULT now(),
		55	+ actor_type text NOT NULL, -- user | api_key | system | anonymous
		56	+ actor_id text,
		57	+ action text NOT NULL,
		58	+ target text,
		59	+ request_id text,
		60	+ ip text,
		61	+ outcome text NOT NULL DEFAULT 'ok',
		62	+ details jsonb NOT NULL DEFAULT '{}'::jsonb
		63	+);
		64	+CREATE INDEX audit_log_at_idx ON audit_log(at DESC);
		65	+CREATE INDEX audit_log_actor_idx ON audit_log(actor_type, actor_id);
		66	+
		67	+CREATE TABLE sources (
		68	+ id text PRIMARY KEY, -- firstrate | firstrate_fundamentals | sec_edgar
		69	+ name text NOT NULL,
		70	+ vendor text NOT NULL,
		71	+ product text NOT NULL,
		72	+ license_class text NOT NULL, -- frd-private | public-domain | pending
		73	+ docs_url text,
		74	+ status text NOT NULL CHECK (status IN ('active','pending_configuration','disabled')),
		75	+ capabilities jsonb NOT NULL DEFAULT '{}'::jsonb,
		76	+ notes text,
		77	+ updated_at timestamptz NOT NULL DEFAULT now()
		78	+);
		79	+
		80	+CREATE TABLE datasets (
		81	+ id text PRIMARY KEY, -- e.g. market_bars.stock.1m.raw
		82	+ name text NOT NULL,
		83	+ description text NOT NULL,
		84	+ source_id text NOT NULL REFERENCES sources(id),
		85	+ kind text NOT NULL CHECK (kind IN ('market_bars','fundamentals','corporate_actions','reference','derived')),
		86	+ asset_class text,
		87	+ interval text,
		88	+ adjustment text,
		89	+ license_class text NOT NULL,
		90	+ status text NOT NULL CHECK (status IN ('active','planned','pending_configuration','unsupported','paused')),
		91	+ timestamp_convention text, -- bar_open
		92	+ timezone text, -- source timezone, canonical storage is UTC
		93	+ schema_version integer NOT NULL DEFAULT 1,
		94	+ current_version integer NOT NULL DEFAULT 0,
		95	+ notes text,
		96	+ created_at timestamptz NOT NULL DEFAULT now(),
		97	+ updated_at timestamptz NOT NULL DEFAULT now()
		98	+);
		99	+
		100	+CREATE TABLE dataset_versions (
		101	+ id bigserial PRIMARY KEY,
		102	+ dataset_id text NOT NULL REFERENCES datasets(id),
		103	+ version integer NOT NULL,
		104	+ snapshot_id text NOT NULL, -- sha256 over sorted (path, sha256) of live files
		105	+ file_count integer NOT NULL,
		106	+ row_count bigint NOT NULL,
		107	+ bytes bigint NOT NULL,
		108	+ created_at timestamptz NOT NULL DEFAULT now(),
		109	+ ingest_run_id uuid,
		110	+ note text,
		111	+ UNIQUE (dataset_id, version)
		112	+);
		113	+
		114	+CREATE TABLE lake_files (
		115	+ id bigserial PRIMARY KEY,
		116	+ dataset_id text NOT NULL REFERENCES datasets(id),
		117	+ path text NOT NULL UNIQUE, -- relative to lake root
		118	+ layout text NOT NULL CHECK (layout IN ('base','delta')),
		119	+ symbol_min text, symbol_max text,
		120	+ date_min date, date_max date,
		121	+ row_count bigint NOT NULL,
		122	+ bytes bigint NOT NULL,
		123	+ sha256 text NOT NULL,
		124	+ version_added integer NOT NULL,
		125	+ version_removed integer,
		126	+ ingest_run_id uuid,
		127	+ created_at timestamptz NOT NULL DEFAULT now()
		128	+);
		129	+CREATE INDEX lake_files_live_idx ON lake_files(dataset_id, date_min, date_max) WHERE version_removed IS NULL;
		130	+
		131	+CREATE TABLE instruments (
		132	+ id bigserial PRIMARY KEY,
		133	+ instrument_id text NOT NULL UNIQUE, -- frd:stock:AAPL
		134	+ symbol text NOT NULL,
		135	+ name text,
		136	+ asset_class text NOT NULL,
		137	+ venue text,
		138	+ currency text NOT NULL DEFAULT 'USD',
		139	+ first_date date, last_date date,
		140	+ status text NOT NULL CHECK (status IN ('active','delisted','unknown')),
		141	+ source_id text NOT NULL REFERENCES sources(id),
		142	+ external_ids jsonb NOT NULL DEFAULT '{}'::jsonb, -- cik, figi… when known
		143	+ updated_at timestamptz NOT NULL DEFAULT now()
		144	+);
		145	+CREATE INDEX instruments_symbol_idx ON instruments(symbol);
		146	+CREATE INDEX instruments_name_trgm_idx ON instruments(lower(name));
		147	+
		148	+CREATE TABLE instrument_aliases (
		149	+ id bigserial PRIMARY KEY,
		150	+ instrument_id text NOT NULL REFERENCES instruments(instrument_id) ON DELETE CASCADE,
		151	+ symbol text NOT NULL,
		152	+ valid_from date, valid_to date,
		153	+ source_id text NOT NULL,
		154	+ note text,
		155	+ UNIQUE (instrument_id, symbol, valid_from)
		156	+);
		157	+
		158	+CREATE TABLE corporate_actions (
		159	+ id bigserial PRIMARY KEY,
		160	+ instrument_id text NOT NULL,
		161	+ action_type text NOT NULL CHECK (action_type IN ('split','dividend')),
		162	+ ex_date date NOT NULL,
		163	+ value numeric NOT NULL, -- split ratio (new/old) or cash dividend per share
		164	+ source_id text NOT NULL REFERENCES sources(id),
		165	+ ingest_run_id uuid,
		166	+ observed_at timestamptz NOT NULL DEFAULT now(),
		167	+ UNIQUE (instrument_id, action_type, ex_date, value)
		168	+);
		169	+
		170	+CREATE TABLE ingest_jobs (
		171	+ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
		172	+ kind text NOT NULL, -- metadata | incremental | backfill | compaction | derive | coverage | fundamentals | backup | quality
		173	+ dataset_id text REFERENCES datasets(id),
		174	+ params jsonb NOT NULL DEFAULT '{}'::jsonb,
		175	+ priority integer NOT NULL DEFAULT 50,
		176	+ status text NOT NULL CHECK (status IN ('queued','running','succeeded','failed','dead','cancelled')) DEFAULT 'queued',
		177	+ attempts integer NOT NULL DEFAULT 0,
		178	+ max_attempts integer NOT NULL DEFAULT 5,
		179	+ next_run_at timestamptz NOT NULL DEFAULT now(),
		180	+ locked_by text, locked_at timestamptz,
		181	+ created_at timestamptz NOT NULL DEFAULT now(),
		182	+ started_at timestamptz, finished_at timestamptz,
		183	+ last_error text,
		184	+ progress jsonb NOT NULL DEFAULT '{}'::jsonb,
		185	+ result jsonb NOT NULL DEFAULT '{}'::jsonb,
		186	+ dedupe_key text UNIQUE,
		187	+ created_by text
		188	+);
		189	+CREATE INDEX ingest_jobs_queue_idx ON ingest_jobs(status, next_run_at, priority);
		190	+
		191	+CREATE TABLE ingest_runs (
		192	+ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
		193	+ job_id uuid REFERENCES ingest_jobs(id),
		194	+ worker text,
		195	+ started_at timestamptz NOT NULL DEFAULT now(),
		196	+ finished_at timestamptz,
		197	+ status text NOT NULL DEFAULT 'running',
		198	+ stats jsonb NOT NULL DEFAULT '{}'::jsonb,
		199	+ code_version text
		200	+);
		201	+
		202	+CREATE TABLE checkpoints (
		203	+ scope text NOT NULL, -- job:<uuid> | dataset:<id>
		204	+ key text NOT NULL,
		205	+ value jsonb NOT NULL,
		206	+ updated_at timestamptz NOT NULL DEFAULT now(),
		207	+ PRIMARY KEY (scope, key)
		208	+);
		209	+
		210	+CREATE TABLE raw_archives (
		211	+ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
		212	+ source_id text NOT NULL REFERENCES sources(id),
		213	+ dataset_id text REFERENCES datasets(id),
		214	+ request jsonb NOT NULL, -- sanitized: endpoint + params without userid
		215	+ path text, -- relative to lake root; NULL once deleted
		216	+ sha256 text NOT NULL,
		217	+ bytes bigint NOT NULL,
		218	+ file_count integer,
		219	+ fetched_at timestamptz NOT NULL DEFAULT now(),
		220	+ vendor_last_update date,
		221	+ ingest_run_id uuid,
		222	+ status text NOT NULL CHECK (status IN ('stored','published','deleted_after_publish','failed')),
		223	+ UNIQUE (source_id, sha256)
		224	+);
		225	+
		226	+CREATE TABLE coverage (
		227	+ dataset_id text NOT NULL REFERENCES datasets(id),
		228	+ symbol text NOT NULL,
		229	+ session_date date NOT NULL,
		230	+ bar_count integer NOT NULL,
		231	+ first_ts timestamptz, last_ts timestamptz,
		232	+ expected_bars integer,
		233	+ flags text[] NOT NULL DEFAULT '{}',
		234	+ updated_at timestamptz NOT NULL DEFAULT now(),
		235	+ PRIMARY KEY (dataset_id, symbol, session_date)
		236	+);
		237	+CREATE INDEX coverage_date_idx ON coverage(dataset_id, session_date);
		238	+
		239	+CREATE TABLE quality_reports (
		240	+ id bigserial PRIMARY KEY,
		241	+ dataset_id text NOT NULL REFERENCES datasets(id),
		242	+ ingest_run_id uuid,
		243	+ created_at timestamptz NOT NULL DEFAULT now(),
		244	+ rows_checked bigint NOT NULL,
		245	+ anomalies integer NOT NULL,
		246	+ summary jsonb NOT NULL
		247	+);
		248	+
		249	+CREATE TABLE quality_anomalies (
		250	+ id bigserial PRIMARY KEY,
		251	+ dataset_id text NOT NULL,
		252	+ symbol text, session_date date,
		253	+ code text NOT NULL,
		254	+ severity text NOT NULL CHECK (severity IN ('info','warning','error')),
		255	+ detail jsonb NOT NULL DEFAULT '{}'::jsonb,
		256	+ ingest_run_id uuid,
		257	+ created_at timestamptz NOT NULL DEFAULT now()
		258	+);
		259	+CREATE INDEX quality_anomalies_ds_idx ON quality_anomalies(dataset_id, created_at DESC);
		260	+
		261	+CREATE TABLE exports (
		262	+ id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
		263	+ principal text NOT NULL,
		264	+ status text NOT NULL CHECK (status IN ('queued','running','ready','failed','expired')) DEFAULT 'queued',
		265	+ request jsonb NOT NULL,
		266	+ format text NOT NULL DEFAULT 'parquet',
		267	+ path text,
		268	+ bytes bigint, row_count bigint,
		269	+ snapshot jsonb NOT NULL DEFAULT '{}'::jsonb, -- dataset_id -> version/snapshot_id
		270	+ error text,
		271	+ created_at timestamptz NOT NULL DEFAULT now(),
		272	+ finished_at timestamptz,
		273	+ expires_at timestamptz
		274	+);
		275	+
		276	+CREATE TABLE entities (
		277	+ entity_id text PRIMARY KEY, -- frd:AAPL (vendor ticker-keyed) ; sec:CIK0000320193 when mapped
		278	+ name text,
		279	+ cik text,
		280	+ tickers text[] NOT NULL DEFAULT '{}',
		281	+ sector text, industry text,
		282	+ external_ids jsonb NOT NULL DEFAULT '{}'::jsonb,
		283	+ updated_at timestamptz NOT NULL DEFAULT now()
		284	+);
		285	+
		286	+CREATE TABLE fundamentals_facts (
		287	+ id bigserial PRIMARY KEY,
		288	+ entity_id text NOT NULL,
		289	+ security_id text,
		290	+ metric text NOT NULL,
		291	+ value numeric,
		292	+ unit text NOT NULL DEFAULT 'USD',
		293	+ currency text,
		294	+ fiscal_period_start date,
		295	+ fiscal_period_end date NOT NULL,
		296	+ fiscal_period_type text NOT NULL, -- q | a
		297	+ fiscal_year integer, fiscal_period text,
		298	+ filing_date date,
		299	+ published_at timestamptz,
		300	+ available_at timestamptz NOT NULL, -- PIT policy: filing_date 00:00 ET + 1 day unless vendor publishes a timestamp
		301	+ observed_at timestamptz NOT NULL, -- when FinData ingested this value
		302	+ source_document text,
		303	+ source_id text NOT NULL REFERENCES sources(id),
		304	+ revision_id integer NOT NULL DEFAULT 1,
		305	+ restatement_flag boolean NOT NULL DEFAULT false,
		306	+ superseded_at timestamptz, -- set when a later ingestion observed a different value
		307	+ ingest_run_id uuid
		308	+);
		309	+CREATE INDEX ff_lookup_idx ON fundamentals_facts(entity_id, metric, fiscal_period_end, available_at);
		310	+CREATE UNIQUE INDEX ff_rev_idx ON fundamentals_facts(entity_id, metric, fiscal_period_end, fiscal_period_type, source_id, revision_id);
		311	+
		312	+CREATE TABLE earnings_events (
		313	+ id bigserial PRIMARY KEY,
		314	+ entity_id text NOT NULL,
		315	+ event_date date NOT NULL,
		316	+ eps_estimate numeric, eps_reported numeric,
		317	+ release_time text,
		318	+ source_id text NOT NULL,
		319	+ observed_at timestamptz NOT NULL DEFAULT now(),
		320	+ UNIQUE (entity_id, event_date, source_id)
		321	+);
		322	+
		323	+CREATE TABLE settings_kv (
		324	+ key text PRIMARY KEY,
		325	+ value jsonb NOT NULL,
		326	+ updated_at timestamptz NOT NULL DEFAULT now()
		327	+);
		328	+
		329	+-- Seed: sources and datasets (status reflects verified capability on 2026-11-01; see docs/DISCOVERY.md)
		330	+INSERT INTO sources(id, name, vendor, product, license_class, docs_url, status, capabilities, notes) VALUES
		331	+('firstrate', 'FirstRate Data — Market Data API', 'FirstRate Data', 'Market data bundles (zip archives)', 'frd-private',
		332	+ 'https://firstratedata.com/about/api-docs', 'active',
		333	+ '{"asset_classes":["stock","etf","futures","index","fx","crypto","options"],"timeframes":["1min","5min","30min","1hour","1day"],"adjustments":["UNADJUSTED","adj_split","adj_splitdiv"],"ticks":false,"quotes":false,"pagination":false,"rate_limits":"none documented"}'::jsonb,
		334	+ 'Auth = userid query parameter. Redistribution of raw data prohibited.'),
		335	+('firstrate_fundamentals', 'FirstRate Data — US Fundamentals API', 'FirstRate Data', 'US Fundamentals (/api-f v1)', 'frd-private',
		336	+ 'https://firstratedata.com/fundamental-data/financials/', 'active',
		337	+ '{"financials":true,"earnings":true,"valuation_metrics":true,"short_interest":"doc","short_volume":"doc","social_sentiment":"doc","revision_history":false}'::jsonb,
		338	+ 'One value per (ticker, period) with filing_date; FinData versions values across ingestion runs.'),
		339	+('sec_edgar', 'SEC EDGAR — XBRL company facts', 'U.S. Securities and Exchange Commission', 'companyfacts / submissions JSON', 'public-domain',
		340	+ 'https://www.sec.gov/edgar/sec-api-documentation', 'pending_configuration',
		341	+ '{"companyfacts":true,"submissions":true,"rate_limit":"10 req/s, declared User-Agent required"}'::jsonb,
		342	+ 'Set SEC_EDGAR_USER_AGENT to enable.');
		343	+
		344	+INSERT INTO datasets(id, name, description, source_id, kind, asset_class, interval, adjustment, license_class, status, timestamp_convention, timezone, notes) VALUES
		345	+('market_bars.stock.1m.raw', 'US stocks — 1-minute bars (unadjusted)', 'Raw (unadjusted) 1-minute OHLCV bars for US-listed stocks, extended hours 04:00–20:00 ET, zero-volume bars absent at source.', 'firstrate', 'market_bars', 'stock', '1m', 'raw', 'frd-private', 'active', 'bar_open', 'America/New_York', 'Canonical dataset; adjustments are applied at query time from corporate_actions.'),
		346	+('market_bars.stock.5m.raw', 'US stocks — 5-minute bars (derived)', 'Derived from validated 1-minute bars: open=first, high=max, low=min, close=last, volume=sum, trade_count=count of 1m bars; buckets aligned to 5-minute boundaries in ET.', 'firstrate', 'derived', 'stock', '5m', 'raw', 'frd-private', 'active', 'bar_open', 'America/New_York', NULL),
		347	+('market_bars.stock.1d.raw', 'US stocks — daily bars (unadjusted)', 'Daily OHLCV as delivered by the vendor (not rebuilt from intraday).', 'firstrate', 'market_bars', 'stock', '1d', 'raw', 'frd-private', 'planned', 'session', 'America/New_York', NULL),
		348	+('market_bars.etf.1m.raw', 'US ETFs — 1-minute bars (unadjusted)', 'Same contract as stocks.', 'firstrate', 'market_bars', 'etf', '1m', 'raw', 'frd-private', 'planned', 'bar_open', 'America/New_York', NULL),
		349	+('market_bars.futures.1m.continuous', 'Futures — 1-minute continuous series', 'Three continuous series per root (unadjusted, ratio, absolute).', 'firstrate', 'market_bars', 'futures', '1m', 'continuous', 'frd-private', 'planned', 'bar_open', 'America/New_York', 'Roll policy fixed by vendor (≈7–10 days before expiry).'),
		350	+('market_bars.index.1m.raw', 'Indices — 1-minute bars', 'No volume.', 'firstrate', 'market_bars', 'index', '1m', 'raw', 'frd-private', 'planned', 'bar_open', 'America/New_York', NULL),
		351	+('market_bars.fx.1m.raw', 'FX majors — 1-minute bars', 'Aggregated from four money-center banks.', 'firstrate', 'market_bars', 'fx', '1m', 'raw', 'frd-private', 'planned', 'bar_open', 'America/New_York', 'Two-field datetime in source files.'),
		352	+('market_bars.crypto.1m.raw', 'Crypto — 1-minute bars', 'UTC timestamps, 7 days a week.', 'firstrate', 'market_bars', 'crypto', '1m', 'raw', 'frd-private', 'planned', 'bar_open', 'UTC', NULL),
		353	+('options.eod', 'US options — end-of-day chains', 'EOD only (CBOE), Greeks included, not split-adjusted.', 'firstrate', 'market_bars', 'options', '1d', 'raw', 'frd-private', 'planned', 'session', 'America/New_York', NULL),
		354	+('market_ticks', 'Quotes / trades / ticks', 'Not offered by the licensed vendor.', 'firstrate', 'market_bars', NULL, 'tick', NULL, 'frd-private', 'unsupported', NULL, NULL, 'Vendor provides bars only.'),
		355	+('corporate_actions.stock', 'Splits and cash dividends', 'From vendor meta files; mergers/spin-offs not covered.', 'firstrate', 'corporate_actions', 'stock', NULL, NULL, 'frd-private', 'active', NULL, NULL, NULL),
		356	+('reference.instruments', 'Instrument master', 'Ticker listing + delisted log; ticker changes merged by vendor under the latest symbol.', 'firstrate', 'reference', NULL, NULL, NULL, 'frd-private', 'active', NULL, NULL, NULL),
		357	+('fundamentals.financials', 'Financial statements (point-in-time)', 'Income statement, balance sheet, cash flow, shares, ratios — long format with available_at.', 'firstrate_fundamentals', 'fundamentals', 'stock', NULL, NULL, 'frd-private', 'active', NULL, NULL, 'PIT availability = filing_date + 1 day (ET) by policy; see docs/DATA_DICTIONARY.md.'),
		358	+('fundamentals.earnings', 'Earnings releases', 'Announcement dates with estimate and reported EPS.', 'firstrate_fundamentals', 'fundamentals', 'stock', NULL, NULL, 'frd-private', 'active', NULL, NULL, NULL),
		359	+('fundamentals.sec_companyfacts', 'SEC XBRL company facts', 'Independent public-domain source with filing accession and frame data.', 'sec_edgar', 'fundamentals', 'stock', NULL, NULL, 'public-domain', 'pending_configuration', NULL, NULL, 'Requires SEC_EDGAR_USER_AGENT.');

added packages/core/src/findata_core/redact.py +29 −0

				@@ -0,0 +1,29 @@
		1	+"""Secret redaction for logs, exceptions and persisted job messages."""
		2	+from __future__ import annotations
		3	+
		4	+import re
		5	+from typing import Any
		6	+
		7	+_PARAM_RE = re.compile(r"(?i)(userid|api_key|apikey|token|password|secret)=([^&\s\"']+)")
		8	+
		9	+
		10	+def redact(text: Any, secrets: list[str] | None = None) -> str:
		11	+ s = str(text)
		12	+ for v in secrets or []:
		13	+ if v:
		14	+ s = s.replace(v, "<REDACTED>")
		15	+ s = _PARAM_RE.sub(lambda m: f"{m.group(1)}=<REDACTED>", s)
		16	+ return s
		17	+
		18	+
		19	+class RedactingFilter:
		20	+ """structlog processor: redact every string value in the event dict."""
		21	+
		22	+ def __init__(self, secrets: list[str]):
		23	+ self.secrets = secrets
		24	+
		25	+ def __call__(self, logger, method, event_dict): # type: ignore[no-untyped-def]
		26	+ for k, v in list(event_dict.items()):
		27	+ if isinstance(v, str):
		28	+ event_dict[k] = redact(v, self.secrets)
		29	+ return event_dict

added packages/python-sdk/pyproject.toml +14 −0

				@@ -0,0 +1,14 @@
		1	+[project]
		2	+name = "findata-sdk"
		3	+version = "0.1.0"
		4	+description = "Typed Python client for FinData OS (pandas / polars / Arrow helpers)"
		5	+requires-python = ">=3.12"
		6	+dependencies = ["httpx>=0.28", "pyarrow>=18.0"]
		7	+[project.optional-dependencies]
		8	+pandas = ["pandas>=2.2"]
		9	+polars = ["polars>=1.12"]
		10	+[build-system]
		11	+requires = ["hatchling"]
		12	+build-backend = "hatchling.build"
		13	+[tool.hatch.build.targets.wheel]
		14	+packages = ["src/findata_sdk"]

added packages/python-sdk/src/findata_sdk/__init__.py +1 −0

				@@ -0,0 +1 @@
		1	+from findata_sdk.client import FinData, FinDataError # noqa: F401

added packages/python-sdk/src/findata_sdk/client.py +129 −0

				@@ -0,0 +1,129 @@
		1	+"""FinData OS Python SDK.
		2	+
		3	+ from findata_sdk import FinData
		4	+ fd = FinData("https://findata.spboucher.ai", api_key="fd_xxx.yyy")
		5	+ bars = fd.bars("AAPL", "1m", "2026-10-26", "2026-10-30") # pyarrow.Table (all pages, Arrow IPC)
		6	+ df = bars.to_pandas() # or fd.bars(...).to_polars()
		7	+ export = fd.export(["AAPL", "MSFT"], "2024-01-01", "2026-10-30") # async Parquet export → local file
		8	+ facts = fd.fundamentals("AAPL", as_of="2025-01-01T00:00:00Z", metrics=["rev", "net_inc"])
		9	+"""
		10	+from __future__ import annotations
		11	+
		12	+import io
		13	+import os
		14	+import time
		15	+from datetime import date, datetime
		16	+from pathlib import Path
		17	+from typing import Any
		18	+
		19	+import httpx
		20	+import pyarrow as pa
		21	+import pyarrow.ipc as ipc
		22	+
		23	+
		24	+class FinDataError(RuntimeError):
		25	+ def __init__(self, status: int, payload: Any):
		26	+ self.status = status
		27	+ self.payload = payload
		28	+ err = payload.get("error", {}) if isinstance(payload, dict) else {}
		29	+ super().__init__(f"HTTP {status} {err.get('code', '')}: {err.get('message', payload)} (request_id={err.get('request_id')})")
		30	+
		31	+
		32	+class FinData:
		33	+ def __init__(self, base_url: str | None = None, api_key: str | None = None, timeout: float = 120.0, transport: httpx.BaseTransport | None = None):
		34	+ self.base_url = (base_url or os.environ.get("FINDATA_URL", "https://findata.spboucher.ai")).rstrip("/")
		35	+ key = api_key or os.environ.get("FINDATA_API_KEY")
		36	+ if not key:
		37	+ raise ValueError("api_key required (or FINDATA_API_KEY env var)")
		38	+ self._c = httpx.Client(base_url=self.base_url, timeout=timeout, headers={"Authorization": f"Bearer {key}", "User-Agent": "findata-sdk/0.1"}, transport=transport)
		39	+
		40	+ # ------------------------------------------------------------------ low level
		41	+ def _get(self, path: str, **params: Any) -> Any:
		42	+ r = self._c.get(f"/api/v1{path}", params={k: v for k, v in params.items() if v is not None})
		43	+ if r.status_code >= 400:
		44	+ raise FinDataError(r.status_code, _json(r))
		45	+ return r.json()
		46	+
		47	+ def _post(self, path: str, body: dict[str, Any]) -> Any:
		48	+ r = self._c.post(f"/api/v1{path}", json=body)
		49	+ if r.status_code >= 400:
		50	+ raise FinDataError(r.status_code, _json(r))
		51	+ return r.json()
		52	+
		53	+ # ------------------------------------------------------------------ catalog
		54	+ def datasets(self) -> list[dict[str, Any]]:
		55	+ return self._get("/catalog/datasets")["data"]
		56	+
		57	+ def instruments(self, query: str = "", **kw: Any) -> list[dict[str, Any]]:
		58	+ return self._get("/instruments", query=query, **kw)["data"]
		59	+
		60	+ def health(self) -> dict[str, Any]:
		61	+ return self._get("/health")
		62	+
		63	+ # ------------------------------------------------------------------ bars
		64	+ def bars(self, symbol: str, interval: str, start: str | date, end: str | date, adjustment: str = "raw",
		65	+ max_pages: int = 200) -> pa.Table:
		66	+ """All pages of a bounded request as one Arrow table (Arrow IPC transport, cursor pagination)."""
		67	+ tables: list[pa.Table] = []
		68	+ cursor: str | None = None
		69	+ for _ in range(max_pages):
		70	+ params = {"symbol": symbol, "interval": interval, "start": str(start), "end": str(end), "adjustment": adjustment,
		71	+ "format": "arrow", "limit": 10000}
		72	+ if cursor:
		73	+ params["cursor"] = cursor
		74	+ r = self._c.get("/api/v1/market/bars", params=params)
		75	+ if r.status_code >= 400:
		76	+ raise FinDataError(r.status_code, _json(r))
		77	+ with ipc.open_stream(io.BytesIO(r.content)) as reader:
		78	+ tables.append(reader.read_all())
		79	+ cursor = r.headers.get("X-Next-Cursor") or None
		80	+ if not cursor:
		81	+ break
		82	+ return pa.concat_tables(tables) if tables else pa.table({})
		83	+
		84	+ def sessions(self, symbol: str, interval: str = "1m", **kw: Any) -> list[dict[str, Any]]:
		85	+ return self._get("/market/sessions", symbol=symbol, interval=interval, **kw)["data"]
		86	+
		87	+ # ------------------------------------------------------------------ fundamentals
		88	+ def fundamentals(self, entity: str, as_of: str | datetime | None = None, metrics: list[str] | None = None,
		89	+ period_type: str | None = None) -> dict[str, Any]:
		90	+ return self._get(f"/fundamentals/{entity}", as_of=str(as_of) if as_of else None, metrics=",".join(metrics) if metrics else None,
		91	+ period_type=period_type)
		92	+
		93	+ # ------------------------------------------------------------------ query
		94	+ def sql(self, sql: str, max_rows: int = 1000) -> pa.Table:
		95	+ res = self._post("/query", {"sql": sql, "max_rows": max_rows})
		96	+ if not res["rows"]:
		97	+ return pa.table({c["name"]: [] for c in res["columns"]})
		98	+ return pa.Table.from_pylist(res["rows"])
		99	+
		100	+ # ------------------------------------------------------------------ exports
		101	+ def export(self, symbols: list[str], start: str | date, end: str | date, dataset_id: str = "market_bars.stock.1m.raw",
		102	+ adjustment: str = "raw", fmt: str = "parquet", dest: str | Path | None = None, poll_s: float = 2.0, timeout_s: float = 3600) -> Path:
		103	+ job = self._post("/exports", {"dataset_id": dataset_id, "symbols": symbols, "start": str(start), "end": str(end), "adjustment": adjustment, "format": fmt})
		104	+ eid = job["id"]
		105	+ t0 = time.monotonic()
		106	+ while True:
		107	+ st = self._get(f"/exports/{eid}")
		108	+ if st["status"] == "ready":
		109	+ break
		110	+ if st["status"] in ("failed", "expired"):
		111	+ raise FinDataError(500, {"error": {"code": st["status"], "message": st.get("error")}})
		112	+ if time.monotonic() - t0 > timeout_s:
		113	+ raise TimeoutError(f"export {eid} not ready after {timeout_s}s")
		114	+ time.sleep(poll_s)
		115	+ out = Path(dest) if dest else Path(f"findata-{eid}.{fmt}")
		116	+ with self._c.stream("GET", f"/api/v1/exports/{eid}/download") as r:
		117	+ if r.status_code >= 400:
		118	+ raise FinDataError(r.status_code, {"error": {"code": "download_failed"}})
		119	+ with open(out, "wb") as f:
		120	+ for chunk in r.iter_bytes():
		121	+ f.write(chunk)
		122	+ return out
		123	+
		124	+
		125	+def _json(r: httpx.Response) -> Any:
		126	+ try:
		127	+ return r.json()
		128	+ except Exception: # noqa: BLE001
		129	+ return {"error": {"code": "http", "message": r.text[:300]}}

added packages/schema/pyproject.toml +10 −0

				@@ -0,0 +1,10 @@
		1	+[project]
		2	+name = "findata-schema"
		3	+version = "0.1.0"
		4	+requires-python = ">=3.12"
		5	+dependencies = ["pyarrow>=18.0", "pydantic>=2.9"]
		6	+[build-system]
		7	+requires = ["hatchling"]
		8	+build-backend = "hatchling.build"
		9	+[tool.hatch.build.targets.wheel]
		10	+packages = ["src/findata_schema"]

added packages/schema/src/findata_schema/__init__.py +8 −0

				@@ -0,0 +1,8 @@
		1	+"""findata_schema — Arrow schemas, data contracts and connector interfaces (single source of truth)."""
		2	+from findata_schema.contracts import ( # noqa: F401
		3	+ BARS_SCHEMA, BARS_SCHEMA_VERSION, FUNDAMENTALS_SCHEMA, RAW_BAR_COLUMNS, AssetClass, Interval,
		4	+ Adjustment, QualityFlag, INTERVAL_SECONDS, bars_schema_json,
		5	+)
		6	+from findata_schema.connector import ( # noqa: F401
		7	+ Capabilities, Checkpoint, Connector, FetchRequest, FetchResult, NormalizedBatch, ValidationReport,
		8	+)

added packages/schema/src/findata_schema/connector.py +95 −0

				@@ -0,0 +1,95 @@
		1	+"""Connector interface: discover() → capabilities() → fetch_range() → normalize() → validate() → checkpoint().
		2	+
		3	+Connectors never log full URLs, never persist credentials, and return *raw bytes + provenance* separately from
		4	+normalized Arrow tables so that raw records stay immutable.
		5	+"""
		6	+from __future__ import annotations
		7	+
		8	+from abc import ABC, abstractmethod
		9	+from dataclasses import dataclass, field
		10	+from datetime import date, datetime
		11	+from pathlib import Path
		12	+from typing import Any
		13	+
		14	+import pyarrow as pa
		15	+
		16	+
		17	+@dataclass(frozen=True)
		18	+class Capabilities:
		19	+ source_id: str
		20	+ asset_classes: tuple[str, ...]
		21	+ intervals: tuple[str, ...]
		22	+ adjustments: tuple[str, ...]
		23	+ supports_symbol_filter: bool # can the vendor serve one symbol? (FirstRate: no)
		24	+ supports_date_range: bool # can the vendor serve an arbitrary range? (FirstRate: no)
		25	+ incremental_windows: tuple[str, ...] # e.g. day, week, month
		26	+ license_class: str
		27	+ notes: dict[str, Any] = field(default_factory=dict)
		28	+
		29	+
		30	+@dataclass(frozen=True)
		31	+class FetchRequest:
		32	+ dataset_id: str
		33	+ params: dict[str, Any] # vendor-specific, *without* credentials
		34	+ start: date | None = None
		35	+ end: date | None = None
		36	+
		37	+
		38	+@dataclass
		39	+class FetchResult:
		40	+ request: FetchRequest
		41	+ path: Path # raw archive stored immutably under lake/raw
		42	+ sha256: str
		43	+ bytes: int
		44	+ fetched_at: datetime
		45	+ vendor_last_update: date | None
		46	+ file_count: int | None = None
		47	+ source_url_sanitized: str = ""
		48	+
		49	+
		50	+@dataclass
		51	+class NormalizedBatch:
		52	+ table: pa.Table
		53	+ symbol: str
		54	+ session_dates: tuple[date, date]
		55	+ row_count: int
		56	+ raw_rows: int # rows read from the vendor file (before dedupe)
		57	+
		58	+
		59	+@dataclass
		60	+class ValidationReport:
		61	+ rows: int
		62	+ flagged_rows: int
		63	+ anomalies: list[dict[str, Any]]
		64	+ ok: bool
		65	+
		66	+
		67	+@dataclass
		68	+class Checkpoint:
		69	+ scope: str
		70	+ key: str
		71	+ value: dict[str, Any]
		72	+
		73	+
		74	+class Connector(ABC):
		75	+ source_id: str
		76	+
		77	+ @abstractmethod
		78	+ def discover(self) -> dict[str, Any]:
		79	+ """Light-weight live probe (e.g. last_update, listing counts). Never bulk-downloads."""
		80	+
		81	+ @abstractmethod
		82	+ def capabilities(self) -> Capabilities: ...
		83	+
		84	+ @abstractmethod
		85	+ def fetch_range(self, request: FetchRequest, dest_dir: Path) -> FetchResult: ...
		86	+
		87	+ @abstractmethod
		88	+ def normalize(self, result: FetchResult, **kwargs: Any): # -> Iterator[NormalizedBatch]
		89	+ ...
		90	+
		91	+ @abstractmethod
		92	+ def validate(self, batch: NormalizedBatch) -> ValidationReport: ...
		93	+
		94	+ @abstractmethod
		95	+ def checkpoint(self, result: FetchResult, batches_published: int) -> Checkpoint: ...

added packages/schema/src/findata_schema/contracts.py +116 −0

				@@ -0,0 +1,116 @@
		1	+"""Canonical data contracts.
		2	+
		3	+Bars: `timestamp_utc` marks the **bar open** (vendor convention, enforced). `session_date` is the trading
		4	+session date in the exchange timezone (America/New_York for US listings). Volumes are float64 because vendor
		5	+adjusted volumes may be fractional; raw volumes are integral and validated as such.
		6	+"""
		7	+from __future__ import annotations
		8	+
		9	+import json
		10	+from enum import StrEnum
		11	+
		12	+import pyarrow as pa
		13	+
		14	+BARS_SCHEMA_VERSION = 1
		15	+
		16	+
		17	+class AssetClass(StrEnum):
		18	+ stock = "stock"
		19	+ etf = "etf"
		20	+ futures = "futures"
		21	+ index = "index"
		22	+ fx = "fx"
		23	+ crypto = "crypto"
		24	+ options = "options"
		25	+
		26	+
		27	+class Interval(StrEnum):
		28	+ m1 = "1m"
		29	+ m5 = "5m"
		30	+ m30 = "30m"
		31	+ h1 = "1h"
		32	+ d1 = "1d"
		33	+
		34	+
		35	+INTERVAL_SECONDS = {Interval.m1: 60, Interval.m5: 300, Interval.m30: 1800, Interval.h1: 3600, Interval.d1: 86400}
		36	+
		37	+
		38	+class Adjustment(StrEnum):
		39	+ raw = "raw" # vendor UNADJUSTED
		40	+ split = "split" # vendor adj_split
		41	+ split_div = "split_div" # vendor adj_splitdiv
		42	+ continuous = "continuous"
		43	+
		44	+
		45	+class QualityFlag(StrEnum):
		46	+ ohlc_inconsistent = "ohlc_inconsistent" # high < max(open, close) or low > min(open, close)
		47	+ nonpositive_price = "nonpositive_price"
		48	+ negative_volume = "negative_volume"
		49	+ zero_volume = "zero_volume"
		50	+ fractional_volume = "fractional_volume"
		51	+ off_interval = "off_interval" # timestamp not aligned to the interval grid
		52	+ duplicate = "duplicate"
		53	+ outside_session = "outside_session" # outside 04:00–20:00 ET extended hours
		54	+ non_trading_day = "non_trading_day"
		55	+ price_jump = "price_jump" # |close/prev_close - 1| > threshold within a session
		56	+ gap = "gap" # missing regular-hours minute(s) before this bar
		57	+ out_of_order = "out_of_order"
		58	+
		59	+
		60	+# The vendor CSV layout for intraday/daily bars (no header).
		61	+RAW_BAR_COLUMNS = ["datetime", "open", "high", "low", "close", "volume"]
		62	+
		63	+BARS_SCHEMA = pa.schema(
		64	+ [
		65	+ pa.field("instrument_id", pa.string(), nullable=False),
		66	+ pa.field("symbol_as_reported", pa.string(), nullable=False),
		67	+ pa.field("venue", pa.string(), nullable=True),
		68	+ pa.field("asset_class", pa.string(), nullable=False),
		69	+ pa.field("interval", pa.string(), nullable=False),
		70	+ pa.field("timestamp_utc", pa.timestamp("us", tz="UTC"), nullable=False),
		71	+ pa.field("session_date", pa.date32(), nullable=False),
		72	+ pa.field("open", pa.float64(), nullable=False),
		73	+ pa.field("high", pa.float64(), nullable=False),
		74	+ pa.field("low", pa.float64(), nullable=False),
		75	+ pa.field("close", pa.float64(), nullable=False),
		76	+ pa.field("volume", pa.float64(), nullable=False),
		77	+ pa.field("currency", pa.string(), nullable=False),
		78	+ pa.field("trade_count", pa.int32(), nullable=True),
		79	+ pa.field("vwap", pa.float64(), nullable=True),
		80	+ pa.field("adjustment_type", pa.string(), nullable=False),
		81	+ pa.field("source_id", pa.string(), nullable=False),
		82	+ pa.field("ingested_at", pa.timestamp("us", tz="UTC"), nullable=False),
		83	+ pa.field("quality_flags", pa.list_(pa.string()), nullable=False),
		84	+ pa.field("revision_id", pa.int32(), nullable=False),
		85	+ ],
		86	+ metadata={b"findata.schema": b"bars", b"findata.schema_version": str(BARS_SCHEMA_VERSION).encode(),
		87	+ b"findata.timestamp_convention": b"bar_open"},
		88	+)
		89	+
		90	+FUNDAMENTALS_SCHEMA = pa.schema(
		91	+ [
		92	+ pa.field("entity_id", pa.string(), nullable=False),
		93	+ pa.field("security_id", pa.string(), nullable=True),
		94	+ pa.field("metric", pa.string(), nullable=False),
		95	+ pa.field("value", pa.float64(), nullable=True),
		96	+ pa.field("unit", pa.string(), nullable=False),
		97	+ pa.field("currency", pa.string(), nullable=True),
		98	+ pa.field("fiscal_period_start", pa.date32(), nullable=True),
		99	+ pa.field("fiscal_period_end", pa.date32(), nullable=False),
		100	+ pa.field("fiscal_period_type", pa.string(), nullable=False),
		101	+ pa.field("fiscal_year", pa.int32(), nullable=True),
		102	+ pa.field("fiscal_period", pa.string(), nullable=True),
		103	+ pa.field("filing_date", pa.date32(), nullable=True),
		104	+ pa.field("published_at", pa.timestamp("us", tz="UTC"), nullable=True),
		105	+ pa.field("available_at", pa.timestamp("us", tz="UTC"), nullable=False),
		106	+ pa.field("observed_at", pa.timestamp("us", tz="UTC"), nullable=False),
		107	+ pa.field("source_document", pa.string(), nullable=True),
		108	+ pa.field("source_id", pa.string(), nullable=False),
		109	+ pa.field("revision_id", pa.int32(), nullable=False),
		110	+ pa.field("restatement_flag", pa.bool_(), nullable=False),
		111	+ ]
		112	+)
		113	+
		114	+
		115	+def bars_schema_json() -> str:
		116	+ return json.dumps([{"name": f.name, "type": str(f.type), "nullable": f.nullable} for f in BARS_SCHEMA], indent=2)

added pyproject.toml +57 −0

				@@ -0,0 +1,57 @@
		1	+[project]
		2	+name = "findata-os"
		3	+version = "0.1.0"
		4	+description = "FinData OS — private research-grade financial data lakehouse (MacLustr)"
		5	+requires-python = ">=3.12"
		6	+dependencies = [
		7	+ "findata-core",
		8	+ "findata-schema",
		9	+ "findata-quality",
		10	+ "findata-market-firstrate",
		11	+ "findata-fundamentals",
		12	+ "findata-ingest",
		13	+ "findata-api",
		14	+ "findata-sdk",
		15	+]
		16	+
		17	+[dependency-groups]
		18	+dev = [
		19	+ "pytest>=8.3",
		20	+ "pytest-asyncio>=0.24",
		21	+ "httpx>=0.28",
		22	+ "ruff>=0.8",
		23	+ "pip-audit>=2.7",
		24	+ "freezegun>=1.5",
		25	+]
		26	+
		27	+[tool.uv.workspace]
		28	+members = [
		29	+ "packages/core",
		30	+ "packages/schema",
		31	+ "packages/python-sdk",
		32	+ "services/quality",
		33	+ "services/ingest",
		34	+ "services/api",
		35	+ "connectors/market",
		36	+ "connectors/fundamentals",
		37	+]
		38	+
		39	+[tool.uv.sources]
		40	+findata-core = { workspace = true }
		41	+findata-schema = { workspace = true }
		42	+findata-quality = { workspace = true }
		43	+findata-market-firstrate = { workspace = true }
		44	+findata-fundamentals = { workspace = true }
		45	+findata-ingest = { workspace = true }
		46	+findata-api = { workspace = true }
		47	+findata-sdk = { workspace = true }
		48	+
		49	+[tool.pytest.ini_options]
		50	+testpaths = ["tests"]
		51	+asyncio_mode = "auto"
		52	+markers = ["node: requires the storage node (Postgres, lake)", "vendor: performs a real vendor call (never in CI)"]
		53	+filterwarnings = ["ignore::DeprecationWarning"]
		54	+
		55	+[tool.ruff]
		56	+line-length = 110
		57	+target-version = "py312"

added services/api/pyproject.toml +18 −0

				@@ -0,0 +1,18 @@
		1	+[project]
		2	+name = "findata-api"
		3	+version = "0.1.0"
		4	+requires-python = ">=3.12"
		5	+dependencies = ["findata-core", "findata-schema", "findata-ingest", "findata-fundamentals", "findata-market-firstrate",
		6	+ "fastapi>=0.115", "email-validator>=2.2", "uvicorn[standard]>=0.32", "pydantic>=2.9", "argon2-cffi>=23.1", "pyotp>=2.9", "qrcode>=8.0",
		7	+ "prometheus-client>=0.21", "python-multipart>=0.0.12", "itsdangerous>=2.2", "pyarrow>=18.0", "duckdb>=1.1", "polars>=1.12"]
		8	+[tool.uv.sources]
		9	+findata-core = { workspace = true }
		10	+findata-schema = { workspace = true }
		11	+findata-ingest = { workspace = true }
		12	+findata-fundamentals = { workspace = true }
		13	+findata-market-firstrate = { workspace = true }
		14	+[build-system]
		15	+requires = ["hatchling"]
		16	+build-backend = "hatchling.build"
		17	+[tool.hatch.build.targets.wheel]
		18	+packages = ["src/findata_api"]

added services/api/src/findata_api/__init__.py +0 −0

added services/api/src/findata_api/auth.py +244 −0

				@@ -0,0 +1,244 @@
		1	+"""Authentication & authorization: owner password + TOTP MFA sessions (cookie, CSRF double-submit) and scoped API keys.
		2	+
		3	+Scopes: read:market, read:fundamentals, query, export, admin. Owner sessions implicitly have every scope once MFA
		4	+is passed (or if MFA is not enabled yet — the console nags to enable it)."""
		5	+from __future__ import annotations
		6	+
		7	+import base64
		8	+import hashlib
		9	+import hmac
		10	+import io
		11	+import json
		12	+import secrets
		13	+from dataclasses import dataclass, field
		14	+from datetime import UTC, datetime, timedelta
		15	+from typing import Any
		16	+
		17	+import pyotp
		18	+from argon2 import PasswordHasher
		19	+from argon2.exceptions import VerifyMismatchError
		20	+from fastapi import Depends, Request
		21	+
		22	+from findata_core.config import get_settings
		23	+from findata_core.db import connection, transaction
		24	+from findata_api.errors import ApiError
		25	+
		26	+SESSION_COOKIE = "fd_session"
		27	+SESSION_TTL = timedelta(hours=12)
		28	+ALL_SCOPES = ("read:market", "read:fundamentals", "query", "export", "admin")
		29	+_ph = PasswordHasher(time_cost=3, memory_cost=65536, parallelism=2)
		30	+
		31	+
		32	+@dataclass
		33	+class Principal:
		34	+ kind: str # user | api_key | anonymous
		35	+ id: str | None
		36	+ email: str | None
		37	+ role: str | None
		38	+ scopes: set[str] = field(default_factory=set)
		39	+ session_id: str | None = None
		40	+ csrf_token: str | None = None
		41	+ mfa_passed: bool = True
		42	+ rate_limit_per_minute: int = 600
		43	+
		44	+ @property
		45	+ def label(self) -> str:
		46	+ return f"{self.kind}:{self.id}"
		47	+
		48	+ def has(self, scope: str) -> bool:
		49	+ return scope in self.scopes or "admin" in self.scopes
		50	+
		51	+
		52	+# ----------------------------------------------------------------------------- password / totp
		53	+def hash_password(pw: str) -> str:
		54	+ return _ph.hash(pw)
		55	+
		56	+
		57	+def verify_password(h: str, pw: str) -> bool:
		58	+ try:
		59	+ return _ph.verify(h, pw)
		60	+ except VerifyMismatchError:
		61	+ return False
		62	+
		63	+
		64	+def _enc_secret(raw: str) -> str:
		65	+ """TOTP secrets are stored XOR-obfuscated with the app key (defense in depth vs. plain DB dumps)."""
		66	+ key = hashlib.sha256(get_settings().secret_key.get_secret_value().encode()).digest()
		67	+ data = raw.encode()
		68	+ return base64.b64encode(bytes(b ^ key[i % len(key)] for i, b in enumerate(data))).decode()
		69	+
		70	+
		71	+def _dec_secret(enc: str) -> str:
		72	+ key = hashlib.sha256(get_settings().secret_key.get_secret_value().encode()).digest()
		73	+ data = base64.b64decode(enc)
		74	+ return bytes(b ^ key[i % len(key)] for i, b in enumerate(data)).decode()
		75	+
		76	+
		77	+# ----------------------------------------------------------------------------- sessions
		78	+def create_session(user: dict[str, Any], ip: str | None, ua: str | None) -> tuple[str, str, bool]:
		79	+ sid = secrets.token_urlsafe(32)
		80	+ csrf = secrets.token_urlsafe(24)
		81	+ mfa_passed = not user["totp_enabled"]
		82	+ with transaction() as conn:
		83	+ conn.execute("INSERT INTO sessions(id, user_id, csrf_token, mfa_passed, ip, user_agent, expires_at) VALUES (%s,%s,%s,%s,%s,%s,%s)",
		84	+ (_sid_hash(sid), user["id"], csrf, mfa_passed, ip, (ua or "")[:300], datetime.now(UTC) + SESSION_TTL))
		85	+ conn.execute("UPDATE users SET last_login_at=now() WHERE id=%s", (user["id"],))
		86	+ return sid, csrf, mfa_passed
		87	+
		88	+
		89	+def _sid_hash(sid: str) -> str:
		90	+ return hashlib.sha256(sid.encode()).hexdigest()
		91	+
		92	+
		93	+def load_session(sid: str) -> dict[str, Any] | None:
		94	+ with connection() as conn:
		95	+ return conn.execute("SELECT s.*, u.email, u.role, u.disabled, u.totp_enabled FROM sessions s JOIN users u ON u.id=s.user_id "
		96	+ "WHERE s.id=%s AND s.revoked_at IS NULL AND s.expires_at > now()", (_sid_hash(sid),)).fetchone()
		97	+
		98	+
		99	+def revoke_session(sid: str) -> None:
		100	+ with transaction() as conn:
		101	+ conn.execute("UPDATE sessions SET revoked_at=now() WHERE id=%s", (_sid_hash(sid),))
		102	+
		103	+
		104	+def mark_mfa_passed(sid: str) -> None:
		105	+ with transaction() as conn:
		106	+ conn.execute("UPDATE sessions SET mfa_passed=true WHERE id=%s", (_sid_hash(sid),))
		107	+
		108	+
		109	+# ----------------------------------------------------------------------------- api keys
		110	+def new_api_key(user_id: str, name: str, scopes: list[str], rate_limit: int = 600, expires_at: datetime | None = None) -> dict[str, Any]:
		111	+ bad = [s for s in scopes if s not in ALL_SCOPES]
		112	+ if bad:
		113	+ raise ValueError(f"unknown scopes: {bad}")
		114	+ prefix = "fd_" + secrets.token_hex(4)
		115	+ secret = secrets.token_urlsafe(32)
		116	+ token = f"{prefix}.{secret}"
		117	+ with transaction() as conn:
		118	+ r = conn.execute("INSERT INTO api_keys(user_id, name, prefix, key_hash, scopes, rate_limit_per_minute, expires_at) VALUES (%s,%s,%s,%s,%s,%s,%s) RETURNING id",
		119	+ (user_id, name, prefix, _key_hash(secret), scopes, rate_limit, expires_at)).fetchone()
		120	+ return {"id": str(r["id"]), "name": name, "prefix": prefix, "token": token, "scopes": scopes,
		121	+ "note": "Store this token now; it is shown once and only its hash is kept."}
		122	+
		123	+
		124	+def _key_hash(secret: str) -> str:
		125	+ return hmac.new(get_settings().secret_key.get_secret_value().encode(), secret.encode(), hashlib.sha256).hexdigest()
		126	+
		127	+
		128	+def verify_api_key(token: str) -> dict[str, Any] | None:
		129	+ if "." not in token or not token.startswith("fd_"):
		130	+ return None
		131	+ prefix, secret = token.split(".", 1)
		132	+ with connection() as conn:
		133	+ row = conn.execute("SELECT k.*, u.email, u.role, u.disabled FROM api_keys k JOIN users u ON u.id=k.user_id WHERE k.prefix=%s", (prefix,)).fetchone()
		134	+ if not row or row["revoked_at"] or row["disabled"]:
		135	+ return None
		136	+ if row["expires_at"] and row["expires_at"] < datetime.now(UTC):
		137	+ return None
		138	+ if not hmac.compare_digest(row["key_hash"], _key_hash(secret)):
		139	+ return None
		140	+ with transaction() as conn:
		141	+ conn.execute("UPDATE api_keys SET last_used_at=now() WHERE id=%s", (row["id"],))
		142	+ return row
		143	+
		144	+
		145	+# ----------------------------------------------------------------------------- dependencies
		146	+def get_principal(request: Request) -> Principal:
		147	+ auth = request.headers.get("authorization", "")
		148	+ if auth.lower().startswith("bearer "):
		149	+ row = verify_api_key(auth[7:].strip())
		150	+ if not row:
		151	+ raise ApiError(401, "invalid_api_key", "API key is invalid, revoked or expired")
		152	+ return Principal("api_key", str(row["id"]), row["email"], row["role"], set(row["scopes"]),
		153	+ rate_limit_per_minute=row["rate_limit_per_minute"])
		154	+ sid = request.cookies.get(SESSION_COOKIE)
		155	+ if sid:
		156	+ s = load_session(sid)
		157	+ if s and not s["disabled"]:
		158	+ scopes = set(ALL_SCOPES) if s["role"] == "owner" else {"read:market", "read:fundamentals", "query", "export"}
		159	+ if not s["mfa_passed"]:
		160	+ scopes = set()
		161	+ return Principal("user", str(s["user_id"]), s["email"], s["role"], scopes, session_id=sid,
		162	+ csrf_token=s["csrf_token"], mfa_passed=s["mfa_passed"])
		163	+ return Principal("anonymous", None, None, None, set())
		164	+
		165	+
		166	+def require(scope: str): # noqa: ANN201
		167	+ def dep(request: Request, p: Principal = Depends(get_principal)) -> Principal:
		168	+ if p.kind == "anonymous":
		169	+ raise ApiError(401, "unauthenticated", "Sign in or provide an API key")
		170	+ if p.kind == "user" and not p.mfa_passed:
		171	+ raise ApiError(401, "mfa_required", "Complete the second factor to continue")
		172	+ if not p.has(scope):
		173	+ raise ApiError(403, "forbidden", f"Scope '{scope}' required")
		174	+ if p.kind == "user" and request.method not in ("GET", "HEAD", "OPTIONS"):
		175	+ if request.headers.get("x-csrf-token") != p.csrf_token:
		176	+ raise ApiError(403, "csrf", "Missing or invalid CSRF token")
		177	+ request.state.principal = p
		178	+ return p
		179	+ return dep
		180	+
		181	+
		182	+def require_user_session(request: Request, p: Principal = Depends(get_principal)) -> Principal:
		183	+ """Session present (MFA may still be pending) — used by the MFA step itself."""
		184	+ if p.kind != "user":
		185	+ raise ApiError(401, "unauthenticated", "Sign in first")
		186	+ request.state.principal = p
		187	+ return p
		188	+
		189	+
		190	+# ----------------------------------------------------------------------------- owner bootstrap (CLI)
		191	+def create_owner(email: str, password: str | None) -> dict[str, Any]:
		192	+ pw = password or secrets.token_urlsafe(16)
		193	+ with transaction() as conn:
		194	+ u = conn.execute("SELECT id FROM users WHERE email=%s", (email,)).fetchone()
		195	+ if u:
		196	+ conn.execute("UPDATE users SET password_hash=%s WHERE id=%s", (hash_password(pw), u["id"]))
		197	+ return {"email": email, "password": pw if not password else "(as provided)", "note": "password reset"}
		198	+ conn.execute("INSERT INTO users(email, password_hash, role) VALUES (%s,%s,'owner')", (email, hash_password(pw)))
		199	+ return {"email": email, "password": pw if not password else "(as provided)", "note": "owner created; enable TOTP in the console (Settings → Security)"}
		200	+
		201	+
		202	+def create_api_key_for_email(email: str, name: str, scopes: list[str]) -> dict[str, Any]:
		203	+ with connection() as conn:
		204	+ u = conn.execute("SELECT id FROM users WHERE email=%s", (email,)).fetchone()
		205	+ if not u:
		206	+ raise ValueError("no such user")
		207	+ return new_api_key(str(u["id"]), name, scopes)
		208	+
		209	+
		210	+def totp_setup(user_id: str, email: str) -> dict[str, Any]:
		211	+ secret = pyotp.random_base32()
		212	+ with transaction() as conn:
		213	+ conn.execute("UPDATE users SET totp_secret=%s, totp_enabled=false WHERE id=%s", (_enc_secret(secret), user_id))
		214	+ uri = pyotp.TOTP(secret).provisioning_uri(name=email, issuer_name="FinData OS")
		215	+ try:
		216	+ import qrcode
		217	+ img = qrcode.make(uri)
		218	+ buf = io.BytesIO()
		219	+ img.save(buf, format="PNG")
		220	+ qr = "data:image/png;base64," + base64.b64encode(buf.getvalue()).decode()
		221	+ except Exception: # noqa: BLE001
		222	+ qr = None
		223	+ return {"otpauth_uri": uri, "qr_png_data_url": qr, "secret": secret}
		224	+
		225	+
		226	+def totp_verify(user_id: str, code: str, enable: bool = False) -> bool:
		227	+ with connection() as conn:
		228	+ u = conn.execute("SELECT totp_secret FROM users WHERE id=%s", (user_id,)).fetchone()
		229	+ if not u or not u["totp_secret"]:
		230	+ return False
		231	+ ok = pyotp.TOTP(_dec_secret(u["totp_secret"])).verify(code.replace(" ", ""), valid_window=1)
		232	+ if ok and enable:
		233	+ with transaction() as conn:
		234	+ conn.execute("UPDATE users SET totp_enabled=true WHERE id=%s", (user_id,))
		235	+ return ok
		236	+
		237	+
		238	+def audit(request: Request | None, action: str, target: str | None = None, outcome: str = "ok", **details: Any) -> None:
		239	+ p: Principal | None = getattr(request.state, "principal", None) if request else None
		240	+ with transaction() as conn:
		241	+ conn.execute("INSERT INTO audit_log(actor_type, actor_id, action, target, request_id, ip, outcome, details) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)",
		242	+ (p.kind if p else "system", p.id if p else None, action, target,
		243	+ getattr(request.state, "request_id", None) if request else None,
		244	+ request.client.host if request and request.client else None, outcome, json.dumps(details, default=str)))

added services/api/src/findata_api/errors.py +8 −0

				@@ -0,0 +1,8 @@
		1	+from __future__ import annotations
		2	+
		3	+from fastapi import HTTPException
		4	+
		5	+
		6	+class ApiError(HTTPException):
		7	+ def __init__(self, status: int, code: str, message: str, **extra): # noqa: ANN003
		8	+ super().__init__(status_code=status, detail={"code": code, "message": message, **extra})

added services/api/src/findata_api/health.py +107 −0

				@@ -0,0 +1,107 @@
		1	+"""Health/alert evaluation shared by /api/v1/health, /metrics and the console."""
		2	+from __future__ import annotations
		3	+
		4	+from datetime import UTC, datetime
		5	+from typing import Any
		6	+
		7	+from findata_core.config import get_settings
		8	+from findata_core.db import connection
		9	+from findata_ingest.lake import Lake
		10	+from findata_api import metrics as m
		11	+
		12	+
		13	+def evaluate() -> dict[str, Any]:
		14	+ s = get_settings()
		15	+ lake = Lake()
		16	+ out: dict[str, Any] = {"status": "ok", "checked_at": datetime.now(UTC).isoformat(), "alerts": [], "components": {}}
		17	+ try:
		18	+ with connection() as conn:
		19	+ conn.execute("SELECT 1")
		20	+ out["components"]["postgres"] = "ok"
		21	+ jobs = {r["status"]: r["n"] for r in conn.execute("SELECT status, count(*) n FROM ingest_jobs GROUP BY status").fetchall()}
		22	+ for st in ("queued", "running", "succeeded", "failed", "dead"):
		23	+ m.JOBS.labels(st).set(jobs.get(st, 0))
		24	+ ds = conn.execute("SELECT d.id, d.status, d.current_version, (SELECT max(session_date) FROM coverage c WHERE c.dataset_id=d.id) last_session, "
		25	+ "(SELECT value FROM checkpoints WHERE scope='dataset:'||d.id AND key='last_vendor_update:day') ck "
		26	+ "FROM datasets d WHERE d.status='active' AND d.kind IN ('market_bars','derived')").fetchall()
		27	+ out["datasets"] = []
		28	+ for d in ds:
		29	+ last = d["last_session"]
		30	+ fresh = (datetime.now(UTC).date() - last).days if last else None
		31	+ vendor = (d["ck"] or {}).get("vendor_last_update") if d["ck"] else None
		32	+ lag = None
		33	+ if vendor and last:
		34	+ lag = (datetime.fromisoformat(vendor).date() - last).days
		35	+ out["datasets"].append({"dataset_id": d["id"], "version": d["current_version"], "last_session": str(last) if last else None,
		36	+ "days_since_last_session": fresh, "vendor_last_update": vendor, "vendor_lag_days": lag})
		37	+ if fresh is not None:
		38	+ m.FRESHNESS.labels(d["id"]).set(fresh)
		39	+ if lag is not None:
		40	+ m.VENDOR_LAG.labels(d["id"]).set(lag)
		41	+ if lag > 0:
		42	+ out["alerts"].append({"severity": "warning", "code": "stale_dataset", "message": f"{d['id']} is {lag} day(s) behind the vendor"})
		43	+ if fresh is not None and fresh > 5:
		44	+ out["alerts"].append({"severity": "warning", "code": "no_recent_session", "message": f"{d['id']}: last session {last} ({fresh} days ago)"})
		45	+ dead = jobs.get("dead", 0)
		46	+ if dead:
		47	+ out["alerts"].append({"severity": "error", "code": "dead_jobs", "message": f"{dead} job(s) in the dead-letter queue"})
		48	+ lb = conn.execute("SELECT value, updated_at FROM settings_kv WHERE key='last_backup'").fetchone()
		49	+ if lb:
		50	+ age_h = (datetime.now(UTC) - lb["updated_at"]).total_seconds() / 3600
		51	+ m.BACKUP_AGE.set(age_h)
		52	+ out["components"]["backup"] = {"last": lb["updated_at"].isoformat(), "age_hours": round(age_h, 1), "verified": lb["value"].get("verified")}
		53	+ if age_h > 48:
		54	+ out["alerts"].append({"severity": "warning", "code": "backup_stale", "message": f"last backup {age_h:.0f} h ago"})
		55	+ else:
		56	+ out["components"]["backup"] = {"last": None}
		57	+ out["alerts"].append({"severity": "info", "code": "no_backup_yet", "message": "no backup recorded yet"})
		58	+ lock = lake.root / ".writer.lock"
		59	+ worker_alive = False
		60	+ if lock.exists():
		61	+ try:
		62	+ import fcntl
		63	+ fh = open(lock)
		64	+ try:
		65	+ fcntl.flock(fh, fcntl.LOCK_EX | fcntl.LOCK_NB)
		66	+ fcntl.flock(fh, fcntl.LOCK_UN)
		67	+ except BlockingIOError:
		68	+ worker_alive = True
		69	+ finally:
		70	+ fh.close()
		71	+ except OSError:
		72	+ pass
		73	+ out["components"]["ingest_worker"] = "running" if worker_alive else "not running"
		74	+ if not worker_alive:
		75	+ out["alerts"].append({"severity": "error", "code": "worker_down", "message": "ingest worker is not holding the lake lock"})
		76	+ an = conn.execute("SELECT dataset_id, severity, count(*) n FROM quality_anomalies WHERE created_at > now() - interval '7 days' GROUP BY 1,2").fetchall()
		77	+ for a in an:
		78	+ m.ANOMALIES.labels(a["dataset_id"], a["severity"]).set(a["n"])
		79	+ except Exception as e: # noqa: BLE001
		80	+ out["components"]["postgres"] = f"error: {e}"
		81	+ out["alerts"].append({"severity": "error", "code": "postgres_down", "message": str(e)[:200]})
		82	+ free = lake.free_gb()
		83	+ m.LAKE_FREE.set(free)
		84	+ curated = lake.used_bytes("curated")
		85	+ m.LAKE_CURATED.set(curated)
		86	+ out["components"]["lake"] = {"root": str(lake.root), "free_gb": round(free, 1), "curated_gb": round(curated / 1e9, 2),
		87	+ "raw_gb": round(lake.used_bytes("raw") / 1e9, 2), "soft_limit_gb": s.lake_soft_limit_gb, "hard_min_free_gb": s.lake_hard_min_free_gb}
		88	+ if free < s.lake_hard_min_free_gb:
		89	+ out["alerts"].append({"severity": "error", "code": "disk_critical", "message": f"only {free:.0f} GB free"})
		90	+ elif free < s.lake_hard_min_free_gb * 2:
		91	+ out["alerts"].append({"severity": "warning", "code": "disk_low", "message": f"{free:.0f} GB free"})
		92	+ if curated / 1e9 > s.lake_soft_limit_gb:
		93	+ out["alerts"].append({"severity": "warning", "code": "lake_over_budget", "message": f"curated {curated/1e9:.0f} GB > {s.lake_soft_limit_gb} GB"})
		94	+ try:
		95	+ import subprocess
		96	+ r = subprocess.run(["diskutil", "info", "disk0"], capture_output=True, text=True, timeout=10)
		97	+ smart = next((ln.split(":", 1)[1].strip() for ln in r.stdout.splitlines() if "SMART Status" in ln), "unknown")
		98	+ out["components"]["ssd_smart"] = smart
		99	+ if smart not in ("Verified", "Not Supported", "unknown"):
		100	+ out["alerts"].append({"severity": "error", "code": "ssd_smart", "message": f"SMART status: {smart}"})
		101	+ except Exception: # noqa: BLE001
		102	+ out["components"]["ssd_smart"] = "unavailable"
		103	+ if any(a["severity"] == "error" for a in out["alerts"]):
		104	+ out["status"] = "degraded"
		105	+ elif out["alerts"]:
		106	+ out["status"] = "warning"
		107	+ return out

added services/api/src/findata_api/main.py +127 −0

				@@ -0,0 +1,127 @@
		1	+"""FastAPI application: /api/v1 (OpenAPI at /api/v1/openapi.json, docs at /api/docs), /metrics, static console."""
		2	+from __future__ import annotations
		3	+
		4	+import time
		5	+import uuid
		6	+from pathlib import Path
		7	+
		8	+from fastapi import Depends, FastAPI, Request
		9	+from fastapi.exceptions import RequestValidationError
		10	+from fastapi.responses import JSONResponse, Response
		11	+from fastapi.staticfiles import StaticFiles
		12	+from starlette.exceptions import HTTPException as StarletteHTTPException
		13	+from starlette.middleware.base import BaseHTTPMiddleware
		14	+
		15	+from findata_api import auth as A
		16	+from findata_api import metrics as M
		17	+from findata_api.ratelimit import bucket
		18	+from findata_api.routers import admin, auth, catalog, coverage, exports, fundamentals, health, instruments, market, quality, query
		19	+from findata_core.config import get_settings
		20	+from findata_core.logging import configure_logging, get_logger
		21	+
		22	+API_PREFIX = "/api/v1"
		23	+
		24	+
		25	+class Observability(BaseHTTPMiddleware):
		26	+ async def dispatch(self, request: Request, call_next): # noqa: ANN001
		27	+ rid = request.headers.get("x-request-id") or uuid.uuid4().hex[:16]
		28	+ request.state.request_id = rid
		29	+ t0 = time.monotonic()
		30	+ route = request.url.path
		31	+ try:
		32	+ response = await call_next(request)
		33	+ except Exception: # noqa: BLE001
		34	+ M.REQUESTS.labels(request.method, route, "500").inc()
		35	+ raise
		36	+ dt = time.monotonic() - t0
		37	+ if route.startswith(API_PREFIX):
		38	+ M.REQUESTS.labels(request.method, _route_label(route), str(response.status_code)).inc()
		39	+ M.LATENCY.labels(_route_label(route)).observe(dt)
		40	+ response.headers["X-Request-ID"] = rid
		41	+ response.headers["X-Content-Type-Options"] = "nosniff"
		42	+ response.headers["X-Frame-Options"] = "DENY"
		43	+ response.headers["Referrer-Policy"] = "no-referrer"
		44	+ response.headers["Permissions-Policy"] = "camera=(), microphone=(), geolocation=()"
		45	+ if get_settings().is_production:
		46	+ response.headers["Strict-Transport-Security"] = "max-age=31536000; includeSubDomains"
		47	+ if not route.startswith("/api/docs"):
		48	+ response.headers["Content-Security-Policy"] = ("default-src 'self'; img-src 'self' data:; style-src 'self' 'unsafe-inline'; "
		49	+ "script-src 'self'; connect-src 'self'; frame-ancestors 'none'; base-uri 'self'; form-action 'self'")
		50	+ return response
		51	+
		52	+
		53	+def _route_label(path: str) -> str:
		54	+ parts = path.split("/")
		55	+ return "/".join(p if not _looks_id(p) else "{id}" for p in parts[:6])
		56	+
		57	+
		58	+def _looks_id(p: str) -> bool:
		59	+ return len(p) >= 16 and all(c in "0123456789abcdef-" for c in p)
		60	+
		61	+
		62	+class RateLimit(BaseHTTPMiddleware):
		63	+ async def dispatch(self, request: Request, call_next): # noqa: ANN001
		64	+ if request.url.path.startswith(API_PREFIX) and not request.url.path.endswith("/health"):
		65	+ auth_h = request.headers.get("authorization", "")
		66	+ key = auth_h[-24:] if auth_h else (request.cookies.get(A.SESSION_COOKIE, "")[-24:] or (request.client.host if request.client else "anon"))
		67	+ ok, remaining = bucket.allow(f"rl:{key}", get_settings().rate_limit_per_minute)
		68	+ if not ok:
		69	+ return JSONResponse({"error": {"code": "rate_limited", "message": "Too many requests", "request_id": getattr(request.state, "request_id", None)}},
		70	+ status_code=429, headers={"Retry-After": "5"})
		71	+ return await call_next(request)
		72	+
		73	+
		74	+def create_app() -> FastAPI:
		75	+ s = get_settings()
		76	+ configure_logging()
		77	+ log = get_logger("api")
		78	+ app = FastAPI(title="FinData OS API", version="1.0.0", openapi_url=f"{API_PREFIX}/openapi.json", docs_url="/api/docs", redoc_url=None,
		79	+ description="Private, research-grade financial data lakehouse. All market data © FirstRate Data — no redistribution. "
		80	+ "Timestamps are UTC ISO-8601; bars are stamped at bar **open**.")
		81	+ app.add_middleware(Observability)
		82	+ app.add_middleware(RateLimit)
		83	+
		84	+ @app.exception_handler(StarletteHTTPException)
		85	+ async def http_exc(request: Request, exc: StarletteHTTPException): # noqa: ANN001
		86	+ detail = exc.detail if isinstance(exc.detail, dict) else {"code": "http_error", "message": str(exc.detail)}
		87	+ detail["request_id"] = getattr(request.state, "request_id", None)
		88	+ return JSONResponse({"error": detail}, status_code=exc.status_code, headers=getattr(exc, "headers", None))
		89	+
		90	+ @app.exception_handler(RequestValidationError)
		91	+ async def val_exc(request: Request, exc: RequestValidationError): # noqa: ANN001
		92	+ return JSONResponse({"error": {"code": "validation_error", "message": "Invalid request", "details": exc.errors(),
		93	+ "request_id": getattr(request.state, "request_id", None)}}, status_code=422)
		94	+
		95	+ @app.exception_handler(Exception)
		96	+ async def any_exc(request: Request, exc: Exception): # noqa: ANN001
		97	+ from findata_core.redact import redact
		98	+ log.error("unhandled", error=redact(repr(exc), s.secret_values()), path=request.url.path)
		99	+ return JSONResponse({"error": {"code": "internal_error", "message": "Internal error", "request_id": getattr(request.state, "request_id", None)}}, status_code=500)
		100	+
		101	+ for r in (auth.router, catalog.router, instruments.router, market.router, fundamentals.router, query.router, exports.router,
		102	+ coverage.router, quality.router, health.router, admin.router):
		103	+ app.include_router(r, prefix=API_PREFIX)
		104	+
		105	+ @app.get("/metrics", include_in_schema=False)
		106	+ def metrics(request: Request, p: A.Principal = Depends(A.get_principal)):
		107	+ host = request.client.host if request.client else ""
		108	+ private = host in ("127.0.0.1", "::1") or host.startswith(("192.168.", "10.67.", "10.", "172.16."))
		109	+ if not private and not p.has("admin"):
		110	+ return JSONResponse({"error": {"code": "forbidden", "message": "metrics require admin or a private network"}}, status_code=403)
		111	+ from findata_api.health import evaluate
		112	+ evaluate()
		113	+ body, ctype = M.render()
		114	+ return Response(body, media_type=ctype)
		115	+
		116	+ web = s.web_dist or Path(s.root) / "apps" / "web" / "out"
		117	+ if web.exists():
		118	+ app.mount("/", StaticFiles(directory=str(web), html=True), name="web")
		119	+ log.info("web.mounted", path=str(web))
		120	+ else:
		121	+ @app.get("/", include_in_schema=False)
		122	+ def root():
		123	+ return {"service": "FinData OS", "docs": "/api/docs", "note": "web console not built"}
		124	+ return app
		125	+
		126	+
		127	+app = create_app()

added services/api/src/findata_api/metrics.py +18 −0

				@@ -0,0 +1,18 @@
		1	+from __future__ import annotations
		2	+
		3	+from prometheus_client import CONTENT_TYPE_LATEST, Counter, Gauge, Histogram, generate_latest
		4	+
		5	+REQUESTS = Counter("findata_http_requests_total", "HTTP requests", ["method", "route", "status"])
		6	+LATENCY = Histogram("findata_http_request_seconds", "Request latency", ["route"], buckets=(0.01, 0.05, 0.1, 0.25, 0.5, 1, 2.5, 5, 10, 30))
		7	+ROWS = Counter("findata_rows_returned_total", "Rows returned by data endpoints", ["endpoint"])
		8	+LAKE_FREE = Gauge("findata_lake_free_gb", "Free space on the lake volume (GB)")
		9	+LAKE_CURATED = Gauge("findata_lake_curated_bytes", "Curated Parquet bytes")
		10	+JOBS = Gauge("findata_jobs", "Ingest jobs by status", ["status"])
		11	+FRESHNESS = Gauge("findata_dataset_freshness_days", "Days since last session in dataset", ["dataset"])
		12	+VENDOR_LAG = Gauge("findata_vendor_lag_days", "Days between vendor last_update and last ingested session", ["dataset"])
		13	+BACKUP_AGE = Gauge("findata_backup_age_hours", "Hours since last successful backup")
		14	+ANOMALIES = Gauge("findata_quality_anomalies_7d", "Quality anomalies in the last 7 days", ["dataset", "severity"])
		15	+
		16	+
		17	+def render() -> tuple[bytes, str]:
		18	+ return generate_latest(), CONTENT_TYPE_LATEST

added services/api/src/findata_api/ratelimit.py +34 −0

				@@ -0,0 +1,34 @@
		1	+"""In-process token bucket per principal (single API process). Quotas (rows/day) live in usage_daily."""
		2	+from __future__ import annotations
		3	+
		4	+import threading
		5	+import time
		6	+
		7	+from findata_core.db import transaction
		8	+
		9	+
		10	+class TokenBucket:
		11	+ def __init__(self):
		12	+ self._b: dict[str, tuple[float, float]] = {}
		13	+ self._lock = threading.Lock()
		14	+
		15	+ def allow(self, key: str, per_minute: int) -> tuple[bool, int]:
		16	+ now = time.monotonic()
		17	+ with self._lock:
		18	+ tokens, last = self._b.get(key, (float(per_minute), now))
		19	+ tokens = min(per_minute, tokens + (now - last) * per_minute / 60.0)
		20	+ if tokens >= 1:
		21	+ self._b[key] = (tokens - 1, now)
		22	+ return True, int(tokens - 1)
		23	+ self._b[key] = (tokens, now)
		24	+ return False, 0
		25	+
		26	+
		27	+bucket = TokenBucket()
		28	+
		29	+
		30	+def record_usage(principal: str, rows: int = 0, bytes_exported: int = 0) -> None:
		31	+ with transaction() as conn:
		32	+ conn.execute("INSERT INTO usage_daily(principal, day, requests, rows_returned, bytes_exported) VALUES (%s, current_date, 1, %s, %s) "
		33	+ "ON CONFLICT (principal, day) DO UPDATE SET requests=usage_daily.requests+1, rows_returned=usage_daily.rows_returned+EXCLUDED.rows_returned, "
		34	+ "bytes_exported=usage_daily.bytes_exported+EXCLUDED.bytes_exported", (principal, rows, bytes_exported))

added services/api/src/findata_api/routers/__init__.py +0 −0

added services/api/src/findata_api/routers/admin.py +162 −0

				@@ -0,0 +1,162 @@
		1	+from __future__ import annotations
		2	+
		3	+import json
		4	+from datetime import datetime
		5	+from typing import Any
		6	+
		7	+from fastapi import APIRouter, Depends, Query, Request
		8	+from pydantic import BaseModel, Field
		9	+
		10	+from findata_api import auth as A
		11	+from findata_api.errors import ApiError
		12	+from findata_core.config import get_settings
		13	+from findata_core.db import connection, transaction
		14	+from findata_ingest import queue
		15	+from findata_ingest.lake import Lake
		16	+
		17	+router = APIRouter(prefix="/admin", tags=["admin"])
		18	+
		19	+
		20	+class JobIn(BaseModel):
		21	+ kind: str
		22	+ dataset_id: str | None = None
		23	+ params: dict[str, Any] = Field(default_factory=dict)
		24	+ priority: int = 50
		25	+
		26	+
		27	+class KeyIn(BaseModel):
		28	+ name: str = Field(..., min_length=1, max_length=60)
		29	+ scopes: list[str]
		30	+ rate_limit_per_minute: int = Field(600, ge=1, le=10000)
		31	+ expires_at: datetime | None = None
		32	+
		33	+
		34	+class TrackedIn(BaseModel):
		35	+ tickers: list[str]
		36	+
		37	+
		38	+@router.get("/jobs")
		39	+def jobs(status: str | None = None, kind: str | None = None, limit: int = Query(100, le=1000), p: A.Principal = Depends(A.require("admin"))):
		40	+ with connection() as conn:
		41	+ rows = conn.execute("SELECT id, kind, dataset_id, params, priority, status, attempts, max_attempts, next_run_at, created_at, started_at, finished_at, last_error, progress, result, created_by "
		42	+ "FROM ingest_jobs WHERE (%s::text IS NULL OR status=%s) AND (%s::text IS NULL OR kind=%s) ORDER BY created_at DESC LIMIT %s",
		43	+ (status, status, kind, kind, limit)).fetchall()
		44	+ return {"data": rows}
		45	+
		46	+
		47	+@router.post("/jobs", status_code=201)
		48	+def enqueue(body: JobIn, request: Request, p: A.Principal = Depends(A.require("admin"))):
		49	+ from findata_ingest.tasks import REGISTRY
		50	+ if body.kind not in REGISTRY:
		51	+ raise ApiError(400, "bad_kind", f"kind must be one of {sorted(REGISTRY)}")
		52	+ if body.kind == "backfill":
		53	+ lake = Lake()
		54	+ if lake.free_gb() < get_settings().lake_hard_min_free_gb * 1.5:
		55	+ raise ApiError(409, "disk_budget", "not enough free space to start a backfill")
		56	+ jid = queue.enqueue(body.kind, body.dataset_id, body.params, body.priority, created_by=p.email or p.label)
		57	+ A.audit(request, "admin.enqueue", jid, kind=body.kind, dataset=body.dataset_id, params=body.params)
		58	+ return {"id": jid}
		59	+
		60	+
		61	+@router.post("/jobs/{job_id}/retry")
		62	+def retry(job_id: str, request: Request, p: A.Principal = Depends(A.require("admin"))):
		63	+ with transaction() as conn:
		64	+ r = conn.execute("UPDATE ingest_jobs SET status='queued', attempts=0, next_run_at=now(), last_error=NULL WHERE id=%s AND status IN ('failed','dead','cancelled') RETURNING id", (job_id,)).fetchone()
		65	+ if not r:
		66	+ raise ApiError(409, "not_retryable", "job is not in a retryable state")
		67	+ A.audit(request, "admin.retry", job_id)
		68	+ return {"ok": True}
		69	+
		70	+
		71	+@router.post("/jobs/{job_id}/cancel")
		72	+def cancel(job_id: str, request: Request, p: A.Principal = Depends(A.require("admin"))):
		73	+ with transaction() as conn:
		74	+ r = conn.execute("UPDATE ingest_jobs SET status='cancelled', finished_at=now() WHERE id=%s AND status='queued' RETURNING id", (job_id,)).fetchone()
		75	+ if not r:
		76	+ raise ApiError(409, "not_cancellable", "only queued jobs can be cancelled")
		77	+ A.audit(request, "admin.cancel", job_id)
		78	+ return {"ok": True}
		79	+
		80	+
		81	+@router.get("/keys")
		82	+def keys(p: A.Principal = Depends(A.require("admin"))):
		83	+ with connection() as conn:
		84	+ rows = conn.execute("SELECT k.id, k.name, k.prefix, k.scopes, k.rate_limit_per_minute, k.expires_at, k.last_used_at, k.revoked_at, k.created_at, u.email "
		85	+ "FROM api_keys k JOIN users u ON u.id=k.user_id ORDER BY k.created_at DESC").fetchall()
		86	+ usage = conn.execute("SELECT principal, day, requests, rows_returned, bytes_exported FROM usage_daily WHERE day > current_date - 14 ORDER BY day DESC").fetchall()
		87	+ return {"data": rows, "usage": usage}
		88	+
		89	+
		90	+@router.post("/keys", status_code=201)
		91	+def create_key(body: KeyIn, request: Request, p: A.Principal = Depends(A.require("admin"))):
		92	+ try:
		93	+ out = A.new_api_key(p.id, body.name, body.scopes, body.rate_limit_per_minute, body.expires_at)
		94	+ except ValueError as e:
		95	+ raise ApiError(400, "bad_scopes", str(e)) from None
		96	+ A.audit(request, "admin.key_create", out["id"], name=body.name, scopes=body.scopes)
		97	+ return out
		98	+
		99	+
		100	+@router.delete("/keys/{key_id}")
		101	+def revoke_key(key_id: str, request: Request, p: A.Principal = Depends(A.require("admin"))):
		102	+ with transaction() as conn:
		103	+ conn.execute("UPDATE api_keys SET revoked_at=now() WHERE id=%s", (key_id,))
		104	+ A.audit(request, "admin.key_revoke", key_id)
		105	+ return {"ok": True}
		106	+
		107	+
		108	+@router.get("/audit")
		109	+def audit_log(limit: int = Query(200, le=2000), action: str | None = None, p: A.Principal = Depends(A.require("admin"))):
		110	+ with connection() as conn:
		111	+ rows = conn.execute("SELECT * FROM audit_log WHERE (%s::text IS NULL OR action LIKE %s) ORDER BY at DESC LIMIT %s", (action, (action or "") + "%", limit)).fetchall()
		112	+ return {"data": rows}
		113	+
		114	+
		115	+@router.get("/storage")
		116	+def storage(p: A.Principal = Depends(A.require("admin"))):
		117	+ lake = Lake()
		118	+ s = get_settings()
		119	+ with connection() as conn:
		120	+ per_ds = conn.execute("SELECT dataset_id, layout, count(*) files, sum(bytes) bytes, sum(row_count) rows FROM lake_files WHERE version_removed IS NULL GROUP BY 1,2 ORDER BY 1,2").fetchall()
		121	+ raw = conn.execute("SELECT status, count(*) n, sum(bytes) bytes FROM raw_archives GROUP BY status").fetchall()
		122	+ exports = conn.execute("SELECT status, count(*) n, coalesce(sum(bytes),0) bytes FROM exports GROUP BY status").fetchall()
		123	+ retired = conn.execute("SELECT count(*) n, coalesce(sum(bytes),0) bytes FROM lake_files WHERE version_removed IS NOT NULL").fetchone()
		124	+ db = conn.execute("SELECT pg_database_size(current_database()) bytes").fetchone()
		125	+ backup = conn.execute("SELECT value, updated_at FROM settings_kv WHERE key='last_backup'").fetchone()
		126	+ import os
		127	+ st = os.statvfs(lake.root)
		128	+ return {"lake_root": str(lake.root), "volume": {"total_gb": round(st.f_blocks * st.f_frsize / 1e9, 1), "free_gb": round(st.f_bavail * st.f_frsize / 1e9, 1)},
		129	+ "budget": {"soft_limit_gb": s.lake_soft_limit_gb, "hard_min_free_gb": s.lake_hard_min_free_gb},
		130	+ "curated_bytes": lake.used_bytes("curated"), "raw_bytes": lake.used_bytes("raw"), "retired_bytes": lake.used_bytes("_retired"),
		131	+ "exports_bytes": lake.used_bytes("exports"), "per_dataset": per_ds, "raw_archives": raw, "exports": exports, "retired_files": retired,
		132	+ "postgres_bytes": db["bytes"], "last_backup": backup,
		133	+ "capacity_model": {"bytes_per_1m_bar_curated": 13, "note": "see docs/DISCOVERY.md §5 — measured on the prior lake; recomputed from per_dataset above"}}
		134	+
		135	+
		136	+@router.get("/settings")
		137	+def get_settings_(p: A.Principal = Depends(A.require("admin"))):
		138	+ with connection() as conn:
		139	+ rows = conn.execute("SELECT key, value, updated_at FROM settings_kv WHERE key NOT LIKE 'secret%'").fetchall()
		140	+ s = get_settings()
		141	+ return {"settings": rows, "env": {"env": s.env, "lake": str(s.lake), "public_url": s.public_url, "backup_target": s.backup_target,
		142	+ "vendor_configured": bool(s.frd_userid.get_secret_value()), "sec_edgar_configured": bool(s.sec_edgar_user_agent),
		143	+ "ai_providers": {"anthropic": bool(s.anthropic_api_key.get_secret_value()), "openai": bool(s.openai_api_key.get_secret_value())}}}
		144	+
		145	+
		146	+@router.put("/settings/tracked-tickers")
		147	+def tracked(body: TrackedIn, request: Request, p: A.Principal = Depends(A.require("admin"))):
		148	+ tk = sorted({t.upper().strip() for t in body.tickers if t.strip()})[:2000]
		149	+ with transaction() as conn:
		150	+ conn.execute("INSERT INTO settings_kv(key, value) VALUES ('fundamentals_tracked_tickers', %s) ON CONFLICT (key) DO UPDATE SET value=EXCLUDED.value, updated_at=now()", (json.dumps(tk),))
		151	+ A.audit(request, "admin.tracked_tickers", None, count=len(tk))
		152	+ return {"tickers": tk}
		153	+
		154	+
		155	+@router.post("/discover")
		156	+def discover(request: Request, p: A.Principal = Depends(A.require("admin"))):
		157	+ """Sanitized live vendor probe (no bulk download)."""
		158	+ from findata_market_firstrate import FirstRateMarketConnector
		159	+ from findata_fundamentals import SecEdgarConnector
		160	+ out = {"firstrate": FirstRateMarketConnector().discover(), "sec_edgar": SecEdgarConnector().status()}
		161	+ A.audit(request, "admin.discover")
		162	+ return out

added services/api/src/findata_api/routers/auth.py +93 −0

				@@ -0,0 +1,93 @@
		1	+from __future__ import annotations
		2	+
		3	+from fastapi import APIRouter, Depends, Request, Response
		4	+from pydantic import BaseModel, EmailStr
		5	+
		6	+from findata_api import auth as A
		7	+from findata_api.errors import ApiError
		8	+from findata_core.config import get_settings
		9	+from findata_core.db import connection
		10	+
		11	+router = APIRouter(prefix="/auth", tags=["auth"])
		12	+
		13	+
		14	+class LoginIn(BaseModel):
		15	+ email: EmailStr
		16	+ password: str
		17	+
		18	+
		19	+class CodeIn(BaseModel):
		20	+ code: str
		21	+
		22	+
		23	+def _set_cookie(resp: Response, sid: str) -> None:
		24	+ s = get_settings()
		25	+ resp.set_cookie(A.SESSION_COOKIE, sid, httponly=True, secure=s.is_production or s.public_url.startswith("https"),
		26	+ samesite="strict", max_age=int(A.SESSION_TTL.total_seconds()), path="/")
		27	+
		28	+
		29	+@router.post("/login")
		30	+def login(body: LoginIn, request: Request, response: Response):
		31	+ with connection() as conn:
		32	+ u = conn.execute("SELECT * FROM users WHERE email=%s", (body.email.lower(),)).fetchone()
		33	+ ok, _ = __import__("findata_api.ratelimit", fromlist=["bucket"]).bucket.allow(f"login:{request.client.host if request.client else '?'}", 10)
		34	+ if not ok:
		35	+ raise ApiError(429, "rate_limited", "Too many login attempts")
		36	+ if not u or u["disabled"] or not A.verify_password(u["password_hash"], body.password):
		37	+ A.audit(request, "auth.login", body.email, outcome="denied")
		38	+ raise ApiError(401, "invalid_credentials", "Invalid e-mail or password")
		39	+ sid, csrf, mfa_passed = A.create_session(u, request.client.host if request.client else None, request.headers.get("user-agent"))
		40	+ _set_cookie(response, sid)
		41	+ request.state.principal = A.Principal("user", str(u["id"]), u["email"], u["role"])
		42	+ A.audit(request, "auth.login", u["email"], mfa_required=not mfa_passed)
		43	+ return {"ok": True, "mfa_required": not mfa_passed, "csrf_token": csrf, "email": u["email"], "role": u["role"]}
		44	+
		45	+
		46	+@router.post("/mfa")
		47	+def mfa(body: CodeIn, request: Request, p: A.Principal = Depends(A.require_user_session)):
		48	+ if p.mfa_passed:
		49	+ return {"ok": True, "csrf_token": p.csrf_token}
		50	+ if request.headers.get("x-csrf-token") != p.csrf_token:
		51	+ raise ApiError(403, "csrf", "Missing or invalid CSRF token")
		52	+ if not A.totp_verify(p.id, body.code):
		53	+ A.audit(request, "auth.mfa", p.email, outcome="denied")
		54	+ raise ApiError(401, "invalid_code", "Invalid one-time code")
		55	+ A.mark_mfa_passed(p.session_id)
		56	+ A.audit(request, "auth.mfa", p.email)
		57	+ return {"ok": True, "csrf_token": p.csrf_token}
		58	+
		59	+
		60	+@router.post("/logout")
		61	+def logout(request: Request, response: Response, p: A.Principal = Depends(A.require_user_session)):
		62	+ A.revoke_session(p.session_id)
		63	+ response.delete_cookie(A.SESSION_COOKIE, path="/")
		64	+ A.audit(request, "auth.logout", p.email)
		65	+ return {"ok": True}
		66	+
		67	+
		68	+@router.get("/me")
		69	+def me(request: Request, p: A.Principal = Depends(A.get_principal)):
		70	+ if p.kind == "anonymous":
		71	+ raise ApiError(401, "unauthenticated", "Not signed in")
		72	+ totp_enabled = None
		73	+ if p.kind == "user":
		74	+ with connection() as conn:
		75	+ u = conn.execute("SELECT totp_enabled FROM users WHERE id=%s", (p.id,)).fetchone()
		76	+ totp_enabled = bool(u and u["totp_enabled"])
		77	+ return {"kind": p.kind, "email": p.email, "role": p.role, "scopes": sorted(p.scopes), "mfa_passed": p.mfa_passed,
		78	+ "totp_enabled": totp_enabled, "csrf_token": p.csrf_token}
		79	+
		80	+
		81	+@router.post("/totp/setup")
		82	+def totp_setup(request: Request, p: A.Principal = Depends(A.require("admin"))):
		83	+ out = A.totp_setup(p.id, p.email)
		84	+ A.audit(request, "auth.totp_setup", p.email)
		85	+ return {"otpauth_uri": out["otpauth_uri"], "qr_png_data_url": out["qr_png_data_url"], "secret": out["secret"]}
		86	+
		87	+
		88	+@router.post("/totp/verify")
		89	+def totp_verify(body: CodeIn, request: Request, p: A.Principal = Depends(A.require("admin"))):
		90	+ if not A.totp_verify(p.id, body.code, enable=True):
		91	+ raise ApiError(400, "invalid_code", "Code did not match; try again")
		92	+ A.audit(request, "auth.totp_enabled", p.email)
		93	+ return {"ok": True, "totp_enabled": True}

added services/api/src/findata_api/routers/catalog.py +60 −0

				@@ -0,0 +1,60 @@
		1	+from __future__ import annotations
		2	+
		3	+from fastapi import APIRouter, Depends
		4	+
		5	+from findata_api import auth as A
		6	+from findata_core.db import connection
		7	+from findata_api.errors import ApiError
		8	+
		9	+router = APIRouter(prefix="/catalog", tags=["catalog"])
		10	+
		11	+LICENSE_TEXT = {
		12	+ "frd-private": "FirstRate Data license: private use by the subscriber only. Raw bars/tables may not be redistributed to third parties "
		13	+ "(no public API, CSV or tables). Derived results and charts may be published with attribution to FirstRate Data.",
		14	+ "public-domain": "U.S. government work (SEC EDGAR): public domain; SEC fair-access policy applies to retrieval.",
		15	+ "pending": "License not yet determined.",
		16	+}
		17	+
		18	+
		19	+@router.get("/datasets")
		20	+def datasets(p: A.Principal = Depends(A.require("read:market"))):
		21	+ with connection() as conn:
		22	+ rows = conn.execute(
		23	+ "SELECT d.*, s.name source_name, s.vendor, s.product, v.snapshot_id, v.file_count, v.row_count, v.bytes, v.created_at version_created_at, "
		24	+ "(SELECT min(session_date) FROM coverage c WHERE c.dataset_id=d.id) first_session, (SELECT max(session_date) FROM coverage c WHERE c.dataset_id=d.id) last_session, "
		25	+ "(SELECT count(DISTINCT symbol) FROM coverage c WHERE c.dataset_id=d.id) symbols "
		26	+ "FROM datasets d JOIN sources s ON s.id=d.source_id LEFT JOIN dataset_versions v ON v.dataset_id=d.id AND v.version=d.current_version ORDER BY d.kind, d.id").fetchall()
		27	+ out = []
		28	+ for r in rows:
		29	+ r = dict(r)
		30	+ r["license_text"] = LICENSE_TEXT.get(r["license_class"], "")
		31	+ out.append(r)
		32	+ return {"data": out, "meta": {"count": len(out)}}
		33	+
		34	+
		35	+@router.get("/datasets/{dataset_id}")
		36	+def dataset(dataset_id: str, p: A.Principal = Depends(A.require("read:market"))):
		37	+ with connection() as conn:
		38	+ d = conn.execute("SELECT d.*, s.name source_name, s.vendor, s.license_class src_license FROM datasets d JOIN sources s ON s.id=d.source_id WHERE d.id=%s", (dataset_id,)).fetchone()
		39	+ if not d:
		40	+ raise ApiError(404, "not_found", "unknown dataset")
		41	+ versions = conn.execute("SELECT version, snapshot_id, file_count, row_count, bytes, created_at, note FROM dataset_versions WHERE dataset_id=%s ORDER BY version DESC LIMIT 50", (dataset_id,)).fetchall()
		42	+ files = conn.execute("SELECT layout, count(*) n, sum(row_count) rows, sum(bytes) bytes, min(date_min) d0, max(date_max) d1 FROM lake_files WHERE dataset_id=%s AND version_removed IS NULL GROUP BY layout", (dataset_id,)).fetchall()
		43	+ ck = conn.execute("SELECT key, value, updated_at FROM checkpoints WHERE scope=%s", (f"dataset:{dataset_id}",)).fetchall()
		44	+ d = dict(d)
		45	+ d["license_text"] = LICENSE_TEXT.get(d["license_class"], "")
		46	+ return {"data": d, "versions": versions, "files": files, "checkpoints": ck}
		47	+
		48	+
		49	+@router.get("/sources")
		50	+def sources(p: A.Principal = Depends(A.require("read:market"))):
		51	+ with connection() as conn:
		52	+ rows = conn.execute("SELECT * FROM sources ORDER BY id").fetchall()
		53	+ return {"data": rows}
		54	+
		55	+
		56	+@router.get("/schema/bars")
		57	+def schema_bars(p: A.Principal = Depends(A.require("read:market"))):
		58	+ from findata_schema import BARS_SCHEMA, BARS_SCHEMA_VERSION
		59	+ return {"schema_version": BARS_SCHEMA_VERSION, "timestamp_convention": "bar_open", "timezone_storage": "UTC",
		60	+ "fields": [{"name": f.name, "type": str(f.type), "nullable": f.nullable} for f in BARS_SCHEMA]}

added services/api/src/findata_api/routers/coverage.py +48 −0

				@@ -0,0 +1,48 @@
		1	+from __future__ import annotations
		2	+
		3	+from datetime import date, timedelta
		4	+
		5	+from fastapi import APIRouter, Depends, Query
		6	+
		7	+from findata_api import auth as A
		8	+from findata_core.db import connection
		9	+
		10	+router = APIRouter(prefix="/coverage", tags=["coverage"])
		11	+
		12	+
		13	+@router.get("")
		14	+def coverage(dataset_id: str = "market_bars.stock.1m.raw", symbol: str | None = None, start: date | None = None, end: date | None = None,
		15	+ limit: int = Query(500, le=5000), p: A.Principal = Depends(A.require("read:market"))):
		16	+ with connection() as conn:
		17	+ rows = conn.execute("SELECT symbol, session_date, bar_count, expected_bars, first_ts, last_ts, flags FROM coverage WHERE dataset_id=%s "
		18	+ "AND (%s::text IS NULL OR symbol=%s) AND (%s::date IS NULL OR session_date>=%s) AND (%s::date IS NULL OR session_date<=%s) "
		19	+ "ORDER BY session_date DESC, symbol LIMIT %s", (dataset_id, symbol, symbol, start, start, end, end, limit)).fetchall()
		20	+ return {"data": rows, "meta": {"dataset_id": dataset_id}}
		21	+
		22	+
		23	+@router.get("/heatmap")
		24	+def heatmap(dataset_id: str = "market_bars.stock.1m.raw", start: date | None = None, end: date | None = None,
		25	+ p: A.Principal = Depends(A.require("read:market"))):
		26	+ """Per session: symbols with data, total bars, mean regular-hours completeness (bars / expected, capped at 1)."""
		27	+ end = end or date.today()
		28	+ start = start or end - timedelta(days=120)
		29	+ with connection() as conn:
		30	+ rows = conn.execute(
		31	+ "SELECT session_date, count(*) symbols, sum(bar_count) bars, "
		32	+ "avg(LEAST(1.0, bar_count::float / NULLIF(expected_bars,0))) FILTER (WHERE expected_bars > 0) completeness, "
		33	+ "count(*) FILTER (WHERE 'non_trading_day' = ANY(flags)) non_trading_rows "
		34	+ "FROM coverage WHERE dataset_id=%s AND session_date BETWEEN %s AND %s GROUP BY 1 ORDER BY 1", (dataset_id, start, end)).fetchall()
		35	+ syms = conn.execute("SELECT symbol, count(*) sessions, sum(bar_count) bars, avg(LEAST(1.0, bar_count::float / NULLIF(expected_bars,0))) FILTER (WHERE expected_bars>0) completeness "
		36	+ "FROM coverage WHERE dataset_id=%s AND session_date BETWEEN %s AND %s GROUP BY 1 ORDER BY bars DESC LIMIT 50", (dataset_id, start, end)).fetchall()
		37	+ return {"sessions": rows, "top_symbols": syms, "meta": {"dataset_id": dataset_id, "start": str(start), "end": str(end)}}
		38	+
		39	+
		40	+@router.get("/symbols")
		41	+def symbols(dataset_id: str = "market_bars.stock.1m.raw", min_sessions: int = 1, limit: int = Query(200, le=5000), cursor: str | None = None,
		42	+ p: A.Principal = Depends(A.require("read:market"))):
		43	+ with connection() as conn:
		44	+ rows = conn.execute("SELECT symbol, count(*) sessions, min(session_date) d0, max(session_date) d1, sum(bar_count) bars FROM coverage WHERE dataset_id=%s "
		45	+ "AND (%s::text IS NULL OR symbol > %s) GROUP BY symbol HAVING count(*) >= %s ORDER BY symbol LIMIT %s",
		46	+ (dataset_id, cursor, cursor, min_sessions, limit + 1)).fetchall()
		47	+ nxt = rows[limit]["symbol"] if len(rows) > limit else None
		48	+ return {"data": rows[:limit], "next_cursor": nxt}

added services/api/src/findata_api/routers/exports.py +124 −0

				@@ -0,0 +1,124 @@
		1	+"""Async exports: bounded request validated synchronously, executed in a background thread, Parquet/CSV file served
		2	+from lake/exports with expiration. Dataset snapshot (version) is pinned at submission time."""
		3	+from __future__ import annotations
		4	+
		5	+import json
		6	+import threading
		7	+import traceback
		8	+from concurrent.futures import ThreadPoolExecutor
		9	+from datetime import UTC, date, datetime, timedelta
		10	+from typing import Literal
		11	+
		12	+import pyarrow.parquet as pq
		13	+from fastapi import APIRouter, Depends, Request
		14	+from fastapi.responses import FileResponse
		15	+from pydantic import BaseModel, Field
		16	+
		17	+from findata_api import auth as A
		18	+from findata_api.errors import ApiError
		19	+from findata_api.ratelimit import record_usage
		20	+from findata_core.config import get_settings
		21	+from findata_core.db import connection, transaction
		22	+from findata_ingest.lake import Lake
		23	+from findata_ingest.reader import apply_adjustment, read_bars
		24	+
		25	+router = APIRouter(prefix="/exports", tags=["exports"])
		26	+_pool = ThreadPoolExecutor(max_workers=2, thread_name_prefix="export")
		27	+
		28	+
		29	+class ExportIn(BaseModel):
		30	+ dataset_id: str = "market_bars.stock.1m.raw"
		31	+ symbols: list[str] = Field(..., min_length=1, max_length=500)
		32	+ start: date
		33	+ end: date
		34	+ adjustment: Literal["raw", "split", "split_div"] = "raw"
		35	+ format: Literal["parquet", "csv"] = "parquet"
		36	+
		37	+
		38	+def _run(export_id: str, req: dict, principal: str) -> None:
		39	+ lake = Lake()
		40	+ try:
		41	+ with transaction() as conn:
		42	+ conn.execute("UPDATE exports SET status='running' WHERE id=%s", (export_id,))
		43	+ syms = [s.upper() for s in req["symbols"]]
		44	+ table, meta = read_bars(req["dataset_id"], syms, date.fromisoformat(req["start"]), date.fromisoformat(req["end"]), version=req.get("version"))
		45	+ if req["adjustment"] != "raw":
		46	+ table, _ = apply_adjustment(table, req["adjustment"])
		47	+ ext = "parquet" if req["format"] == "parquet" else "csv"
		48	+ rel = f"exports/{export_id}.{ext}"
		49	+ out = lake.abs(rel)
		50	+ if ext == "parquet":
		51	+ pq.write_table(table, out, compression="zstd")
		52	+ else:
		53	+ import pyarrow.csv as pcsv
		54	+ pcsv.write_csv(table.drop_columns(["quality_flags"]), out)
		55	+ ttl = get_settings().export_ttl_hours
		56	+ with transaction() as conn:
		57	+ conn.execute("UPDATE exports SET status='ready', path=%s, bytes=%s, row_count=%s, finished_at=now(), expires_at=%s, snapshot=%s WHERE id=%s",
		58	+ (rel, out.stat().st_size, table.num_rows, datetime.now(UTC) + timedelta(hours=ttl),
		59	+ json.dumps({"dataset_id": req["dataset_id"], "version": meta.get("version"), "files_scanned": meta.get("files_scanned")}), export_id))
		60	+ record_usage(principal, rows=table.num_rows, bytes_exported=out.stat().st_size)
		61	+ except Exception as e: # noqa: BLE001
		62	+ with transaction() as conn:
		63	+ conn.execute("UPDATE exports SET status='failed', error=%s, finished_at=now() WHERE id=%s", (f"{e}\n{traceback.format_exc()[-800:]}"[:2000], export_id))
		64	+
		65	+
		66	+@router.post("", status_code=202)
		67	+def create(body: ExportIn, request: Request, p: A.Principal = Depends(A.require("export"))):
		68	+ if body.end < body.start:
		69	+ raise ApiError(400, "bad_range", "end must be >= start")
		70	+ span = (body.end - body.start).days
		71	+ if span > 366 * 12:
		72	+ raise ApiError(413, "range_too_large", "exports are limited to 12 years per request")
		73	+ with connection() as conn:
		74	+ d = conn.execute("SELECT id, status, current_version FROM datasets WHERE id=%s", (body.dataset_id,)).fetchone()
		75	+ if not d:
		76	+ raise ApiError(404, "not_found", "unknown dataset")
		77	+ if d["status"] != "active":
		78	+ raise ApiError(409, "dataset_not_active", f"dataset status is {d['status']}")
		79	+ n = conn.execute("SELECT count(*) FROM exports WHERE principal=%s AND status IN ('queued','running')", (p.label,)).fetchone()["count"]
		80	+ if n >= 3:
		81	+ raise ApiError(429, "too_many_exports", "at most 3 concurrent exports per principal")
		82	+ req = body.model_dump(mode="json")
		83	+ req["version"] = d["current_version"]
		84	+ with transaction() as conn:
		85	+ r = conn.execute("INSERT INTO exports(principal, request, format) VALUES (%s,%s,%s) RETURNING id", (p.label, json.dumps(req), body.format)).fetchone()
		86	+ eid = str(r["id"])
		87	+ A.audit(request, "export.create", eid, dataset=body.dataset_id, symbols=len(body.symbols), start=str(body.start), end=str(body.end))
		88	+ _pool.submit(_run, eid, req, p.label)
		89	+ return {"id": eid, "status": "queued", "poll": f"/api/v1/exports/{eid}"}
		90	+
		91	+
		92	+@router.get("")
		93	+def list_exports(p: A.Principal = Depends(A.require("export"))):
		94	+ with connection() as conn:
		95	+ rows = conn.execute("SELECT id, status, request, format, bytes, row_count, created_at, finished_at, expires_at, error, snapshot FROM exports WHERE principal=%s OR %s ORDER BY created_at DESC LIMIT 100",
		96	+ (p.label, p.has("admin"))).fetchall()
		97	+ return {"data": rows}
		98	+
		99	+
		100	+@router.get("/{export_id}")
		101	+def get(export_id: str, p: A.Principal = Depends(A.require("export"))):
		102	+ with connection() as conn:
		103	+ r = conn.execute("SELECT * FROM exports WHERE id=%s", (export_id,)).fetchone()
		104	+ if not r or (r["principal"] != p.label and not p.has("admin")):
		105	+ raise ApiError(404, "not_found", "unknown export")
		106	+ r = dict(r)
		107	+ if r["status"] == "ready":
		108	+ r["download"] = f"/api/v1/exports/{export_id}/download"
		109	+ return r
		110	+
		111	+
		112	+@router.get("/{export_id}/download")
		113	+def download(export_id: str, request: Request, p: A.Principal = Depends(A.require("export"))):
		114	+ with connection() as conn:
		115	+ r = conn.execute("SELECT * FROM exports WHERE id=%s", (export_id,)).fetchone()
		116	+ if not r or (r["principal"] != p.label and not p.has("admin")):
		117	+ raise ApiError(404, "not_found", "unknown export")
		118	+ if r["status"] != "ready":
		119	+ raise ApiError(409, "not_ready", f"export status is {r['status']}")
		120	+ if r["expires_at"] and r["expires_at"] < datetime.now(UTC):
		121	+ raise ApiError(410, "expired", "export expired")
		122	+ path = Lake().abs(r["path"])
		123	+ A.audit(request, "export.download", export_id, bytes=r["bytes"])
		124	+ return FileResponse(path, filename=f"findata-{export_id}.{r['format']}", media_type="application/octet-stream")

added services/api/src/findata_api/routers/fundamentals.py +68 −0

				@@ -0,0 +1,68 @@
		1	+from __future__ import annotations
		2	+
		3	+from datetime import UTC, datetime
		4	+from typing import Any
		5	+
		6	+from fastapi import APIRouter, Depends, Query
		7	+
		8	+from findata_api import auth as A
		9	+from findata_api.errors import ApiError
		10	+from findata_core.db import connection
		11	+
		12	+router = APIRouter(prefix="/fundamentals", tags=["fundamentals"])
		13	+
		14	+
		15	+def _entity(e: str) -> str:
		16	+ e = e.strip()
		17	+ if ":" in e:
		18	+ return e
		19	+ return f"frd:{e.upper()}"
		20	+
		21	+
		22	+@router.get("/{entity_id}")
		23	+def facts(entity_id: str, as_of: datetime | None = Query(None, description="PIT instant (UTC). Default: now."),
		24	+ metrics: str | None = Query(None, description="comma-separated metric names"),
		25	+ period_type: str | None = Query(None, pattern="^(q|a)$"),
		26	+ include_superseded: bool = False, limit: int = Query(2000, le=20000),
		27	+ p: A.Principal = Depends(A.require("read:fundamentals"))):
		28	+ """Point-in-time facts: a fact is visible iff available_at <= as_of; among revisions, revision 1 (first observed
		29	+ value, proxy for 'as originally filed') is used unless a later revision was *observed* before as_of."""
		30	+ ent = _entity(entity_id)
		31	+ asof = as_of or datetime.now(UTC)
		32	+ if asof.tzinfo is None:
		33	+ asof = asof.replace(tzinfo=UTC)
		34	+ mlist = [m.strip() for m in metrics.split(",")] if metrics else None
		35	+ sql = """
		36	+ WITH visible AS (
		37	+ SELECT *, row_number() OVER (PARTITION BY metric, fiscal_period_end, fiscal_period_type, source_id
		38	+ ORDER BY revision_id DESC) rn
		39	+ FROM fundamentals_facts
		40	+ WHERE entity_id=%(ent)s AND available_at <= %(asof)s
		41	+ AND (revision_id = 1 OR observed_at <= %(asof)s)
		42	+ AND (%(pt)s::text IS NULL OR fiscal_period_type=%(pt)s)
		43	+ AND (%(ms)s::text[] IS NULL OR metric = ANY(%(ms)s))
		44	+ )
		45	+ SELECT entity_id, security_id, metric, value, unit, currency, fiscal_period_start, fiscal_period_end, fiscal_period_type,
		46	+ fiscal_year, fiscal_period, filing_date, published_at, available_at, observed_at, source_document, source_id,
		47	+ revision_id, restatement_flag, superseded_at
		48	+ FROM visible WHERE rn = 1 ORDER BY fiscal_period_end DESC, metric LIMIT %(lim)s"""
		49	+ with connection() as conn:
		50	+ rows = conn.execute(sql, {"ent": ent, "asof": asof, "pt": period_type, "ms": mlist, "lim": limit}).fetchall()
		51	+ e = conn.execute("SELECT * FROM entities WHERE entity_id=%s", (ent,)).fetchone()
		52	+ hidden = conn.execute("SELECT count(*) FROM fundamentals_facts WHERE entity_id=%s AND available_at > %s", (ent, asof)).fetchone()["count"]
		53	+ if not e and not rows:
		54	+ raise ApiError(404, "not_found", f"no fundamentals for {ent}; ingest with `findata ingest fundamentals {ent.split(':')[-1]}`")
		55	+ return {"data": rows, "entity": e, "meta": {"as_of": asof.isoformat(), "rows": len(rows), "facts_hidden_by_as_of": hidden,
		56	+ "pit_policy": "available_at = filing_date + 1 day 00:00 America/New_York; revisions observed after as_of are not shown",
		57	+ "license": "frd-private"}}
		58	+
		59	+
		60	+@router.get("/{entity_id}/periods")
		61	+def periods(entity_id: str, p: A.Principal = Depends(A.require("read:fundamentals"))):
		62	+ ent = _entity(entity_id)
		63	+ with connection() as conn:
		64	+ rows = conn.execute("SELECT fiscal_period_end, fiscal_period_type, fiscal_year, fiscal_period, filing_date, min(available_at) available_at, "
		65	+ "count(*) metrics, max(revision_id) max_revision, bool_or(restatement_flag) restated FROM fundamentals_facts WHERE entity_id=%s "
		66	+ "GROUP BY 1,2,3,4,5 ORDER BY 1 DESC", (ent,)).fetchall()
		67	+ earn = conn.execute("SELECT event_date, eps_estimate, eps_reported, release_time FROM earnings_events WHERE entity_id=%s ORDER BY event_date DESC LIMIT 60", (ent,)).fetchall()
		68	+ return {"periods": rows, "earnings": earn}

added services/api/src/findata_api/routers/health.py +35 −0

				@@ -0,0 +1,35 @@
		1	+from __future__ import annotations
		2	+
		3	+from fastapi import APIRouter, Depends, Request, Response
		4	+
		5	+from findata_api import auth as A
		6	+from findata_api.errors import ApiError
		7	+from findata_api.health import evaluate
		8	+from findata_api.metrics import render
		9	+from findata_core.db import connection
		10	+
		11	+router = APIRouter(tags=["health"])
		12	+
		13	+
		14	+@router.get("/health")
		15	+def health(p: A.Principal = Depends(A.get_principal)):
		16	+ """Public liveness (no details) — authenticated callers get the full report."""
		17	+ h = evaluate()
		18	+ if p.kind == "anonymous":
		19	+ return {"status": h["status"], "service": "findata-os"}
		20	+ return h
		21	+
		22	+
		23	+@router.get("/health/summary")
		24	+def summary(p: A.Principal = Depends(A.require("read:market"))):
		25	+ with connection() as conn:
		26	+ ds = conn.execute("SELECT count(*) FILTER (WHERE status='active') active, count(*) FILTER (WHERE status='planned') planned, "
		27	+ "count(*) FILTER (WHERE status='unsupported') unsupported, count(*) FILTER (WHERE status='pending_configuration') pending FROM datasets").fetchone()
		28	+ inst = conn.execute("SELECT count(*) n, count(*) FILTER (WHERE status='active') active FROM instruments").fetchone()
		29	+ cov = conn.execute("SELECT count(DISTINCT symbol) symbols, count(DISTINCT session_date) sessions, sum(bar_count) bars, max(session_date) last FROM coverage WHERE dataset_id='market_bars.stock.1m.raw'").fetchone()
		30	+ jobs = conn.execute("SELECT status, count(*) n FROM ingest_jobs GROUP BY status").fetchall()
		31	+ recent = conn.execute("SELECT id, kind, dataset_id, status, started_at, finished_at, left(last_error,120) last_error, result FROM ingest_jobs ORDER BY created_at DESC LIMIT 8").fetchall()
		32	+ fund = conn.execute("SELECT count(DISTINCT entity_id) entities, count(*) facts FROM fundamentals_facts WHERE superseded_at IS NULL").fetchone()
		33	+ an = conn.execute("SELECT severity, count(*) n FROM quality_anomalies WHERE created_at > now() - interval '7 days' GROUP BY 1").fetchall()
		34	+ return {"datasets": ds, "instruments": inst, "bars_1m": cov, "jobs": {r["status"]: r["n"] for r in jobs}, "recent_jobs": recent,
		35	+ "fundamentals": fund, "anomalies_7d": {r["severity"]: r["n"] for r in an}, "health": evaluate()}

added services/api/src/findata_api/routers/instruments.py +47 −0

				@@ -0,0 +1,47 @@
		1	+from __future__ import annotations
		2	+
		3	+from fastapi import APIRouter, Depends, Query
		4	+
		5	+from findata_api import auth as A
		6	+from findata_core.db import connection
		7	+
		8	+router = APIRouter(prefix="/instruments", tags=["instruments"])
		9	+
		10	+
		11	+@router.get("")
		12	+def search(query: str = Query("", max_length=64), asset_class: str | None = None, status: str | None = None,
		13	+ limit: int = Query(50, le=500), cursor: str | None = None, p: A.Principal = Depends(A.require("read:market"))):
		14	+ q = query.strip()
		15	+ sql = "SELECT instrument_id, symbol, name, asset_class, status, first_date, last_date, currency FROM instruments WHERE true"
		16	+ params: list = []
		17	+ if q:
		18	+ sql += " AND (upper(symbol) LIKE %s OR lower(name) LIKE %s)"
		19	+ params += [q.upper() + "%", "%" + q.lower() + "%"]
		20	+ if asset_class:
		21	+ sql += " AND asset_class=%s"
		22	+ params.append(asset_class)
		23	+ if status:
		24	+ sql += " AND status=%s"
		25	+ params.append(status)
		26	+ if cursor:
		27	+ sql += " AND symbol > %s"
		28	+ params.append(cursor)
		29	+ sql += " ORDER BY (upper(symbol) = %s) DESC, symbol LIMIT %s"
		30	+ params += [q.upper(), limit + 1]
		31	+ with connection() as conn:
		32	+ rows = conn.execute(sql, params).fetchall()
		33	+ total = conn.execute("SELECT count(*) n, count(*) FILTER (WHERE status='active') active FROM instruments").fetchone()
		34	+ nxt = rows[limit]["symbol"] if len(rows) > limit else None
		35	+ return {"data": rows[:limit], "meta": {"total_instruments": total["n"], "active": total["active"]}, "next_cursor": nxt if not q else None}
		36	+
		37	+
		38	+@router.get("/{symbol}")
		39	+def detail(symbol: str, p: A.Principal = Depends(A.require("read:market"))):
		40	+ sym = symbol.upper()
		41	+ with connection() as conn:
		42	+ inst = conn.execute("SELECT * FROM instruments WHERE symbol=%s ORDER BY asset_class LIMIT 1", (sym,)).fetchone()
		43	+ aliases = conn.execute("SELECT a.* FROM instrument_aliases a JOIN instruments i ON i.instrument_id=a.instrument_id WHERE a.symbol=%s OR i.symbol=%s", (sym, sym)).fetchall()
		44	+ actions = conn.execute("SELECT action_type, ex_date, value FROM corporate_actions WHERE instrument_id LIKE %s ORDER BY ex_date DESC LIMIT 200", (f"firstrate:%:{sym}",)).fetchall()
		45	+ cov = conn.execute("SELECT dataset_id, count(*) sessions, min(session_date) d0, max(session_date) d1, sum(bar_count) bars FROM coverage WHERE symbol=%s GROUP BY dataset_id", (sym,)).fetchall()
		46	+ fund = conn.execute("SELECT count(*) facts, max(fiscal_period_end) last_period, max(filing_date) last_filing FROM fundamentals_facts WHERE entity_id=%s AND superseded_at IS NULL", (f"frd:{sym}",)).fetchone()
		47	+ return {"instrument": inst, "aliases": aliases, "corporate_actions": actions, "coverage": cov, "fundamentals": fund}

added services/api/src/findata_api/routers/market.py +104 −0

				@@ -0,0 +1,104 @@
		1	+from __future__ import annotations
		2	+
		3	+import base64
		4	+import io
		5	+from datetime import date, datetime
		6	+from typing import Literal
		7	+
		8	+import pyarrow as pa
		9	+import pyarrow.ipc as ipc
		10	+from fastapi import APIRouter, Depends, Query, Request, Response
		11	+from fastapi.responses import StreamingResponse
		12	+
		13	+from findata_api import auth as A
		14	+from findata_api import metrics as M
		15	+from findata_api.errors import ApiError
		16	+from findata_api.ratelimit import record_usage
		17	+from findata_core.config import get_settings
		18	+from findata_core.db import connection
		19	+from findata_ingest.reader import apply_adjustment, read_bars
		20	+
		21	+router = APIRouter(prefix="/market", tags=["market"])
		22	+INTERVAL_DS = {"1m": "market_bars.{a}.1m.raw", "5m": "market_bars.{a}.5m.raw", "1d": "market_bars.{a}.1d.raw"}
		23	+MAX_SPAN_DAYS = {"1m": 31, "5m": 186, "1d": 3660}
		24	+PAGE_MAX = 10_000
		25	+
		26	+
		27	+def _dataset_for(symbol: str, interval: str) -> tuple[str, str]:
		28	+ with connection() as conn:
		29	+ inst = conn.execute("SELECT asset_class FROM instruments WHERE symbol=%s ORDER BY (asset_class='stock') DESC LIMIT 1", (symbol,)).fetchone()
		30	+ asset = inst["asset_class"] if inst else "stock"
		31	+ if interval not in INTERVAL_DS:
		32	+ raise ApiError(400, "bad_interval", "interval must be one of 1m, 5m, 1d")
		33	+ return INTERVAL_DS[interval].format(a=asset), asset
		34	+
		35	+
		36	+@router.get("/bars")
		37	+def bars(request: Request, response: Response,
		38	+ symbol: str = Query(..., min_length=1, max_length=20), interval: Literal["1m", "5m", "1d"] = "1m",
		39	+ start: date = Query(...), end: date = Query(...), adjustment: Literal["raw", "split", "split_div"] = "raw",
		40	+ limit: int = Query(5000, ge=1, le=PAGE_MAX), cursor: str | None = None,
		41	+ format: Literal["json", "arrow", "csv"] = "json", version: int | None = None,
		42	+ p: A.Principal = Depends(A.require("read:market"))):
		43	+ sym = symbol.upper().strip()
		44	+ if end < start:
		45	+ raise ApiError(400, "bad_range", "end must be >= start")
		46	+ if (end - start).days > MAX_SPAN_DAYS[interval]:
		47	+ raise ApiError(413, "range_too_large", f"{interval} requests are limited to {MAX_SPAN_DAYS[interval]} days per call; "
		48	+ "use POST /api/v1/exports for larger ranges (async Parquet).", max_days=MAX_SPAN_DAYS[interval])
		49	+ dataset_id, asset = _dataset_for(sym, interval)
		50	+ table, meta = read_bars(dataset_id, [sym], start, end, version=version)
		51	+ notes: list[str] = []
		52	+ if adjustment != "raw":
		53	+ table, notes = apply_adjustment(table, adjustment)
		54	+ # cursor = base64(last timestamp_utc isoformat)
		55	+ if cursor:
		56	+ try:
		57	+ after = datetime.fromisoformat(base64.urlsafe_b64decode(cursor.encode()).decode())
		58	+ except Exception: # noqa: BLE001
		59	+ raise ApiError(400, "bad_cursor", "invalid cursor") from None
		60	+ import pyarrow.compute as pc
		61	+ table = table.filter(pc.greater(table.column("timestamp_utc"), pa.scalar(after, pa.timestamp("us", tz="UTC"))))
		62	+ total = table.num_rows
		63	+ page = table.slice(0, limit)
		64	+ next_cursor = None
		65	+ if total > limit:
		66	+ last = page.column("timestamp_utc")[-1].as_py()
		67	+ next_cursor = base64.urlsafe_b64encode(last.isoformat().encode()).decode()
		68	+ response.headers["X-Dataset-Id"] = dataset_id
		69	+ response.headers["X-Dataset-Version"] = str(meta.get("version"))
		70	+ M.ROWS.labels("bars").inc(page.num_rows)
		71	+ record_usage(p.label, rows=page.num_rows)
		72	+ if format == "arrow":
		73	+ sink = io.BytesIO()
		74	+ with ipc.new_stream(sink, page.schema) as w:
		75	+ w.write_table(page)
		76	+ headers = {"X-Dataset-Id": dataset_id, "X-Dataset-Version": str(meta.get("version")), "X-Next-Cursor": next_cursor or ""}
		77	+ return Response(sink.getvalue(), media_type="application/vnd.apache.arrow.stream", headers=headers)
		78	+ if format == "csv":
		79	+ import pyarrow.csv as pcsv
		80	+ sink = io.BytesIO()
		81	+ pcsv.write_csv(page.drop_columns(["quality_flags"]) if "quality_flags" in page.column_names else page, sink)
		82	+ return StreamingResponse(iter([sink.getvalue()]), media_type="text/csv",
		83	+ headers={"Content-Disposition": f'attachment; filename="{sym}_{interval}_{start}_{end}.csv"', "X-Next-Cursor": next_cursor or ""})
		84	+ rows = page.to_pylist()
		85	+ for r in rows:
		86	+ r["timestamp_utc"] = r["timestamp_utc"].isoformat().replace("+00:00", "Z")
		87	+ r["session_date"] = r["session_date"].isoformat()
		88	+ r["ingested_at"] = r["ingested_at"].isoformat().replace("+00:00", "Z")
		89	+ return {"data": rows, "meta": {**meta, "symbol": sym, "interval": interval, "adjustment": adjustment, "start": str(start), "end": str(end),
		90	+ "rows": len(rows), "rows_matching": total, "adjustment_notes": notes, "timestamp_convention": "bar_open",
		91	+ "license": "frd-private: no redistribution"}, "next_cursor": next_cursor}
		92	+
		93	+
		94	+@router.get("/sessions")
		95	+def sessions(symbol: str, interval: Literal["1m", "5m"] = "1m", start: date | None = None, end: date | None = None,
		96	+ p: A.Principal = Depends(A.require("read:market"))):
		97	+ """Per-session coverage for one symbol (bar counts vs expected regular-hours bars)."""
		98	+ sym = symbol.upper()
		99	+ dataset_id, _ = _dataset_for(sym, interval)
		100	+ with connection() as conn:
		101	+ rows = conn.execute("SELECT session_date, bar_count, expected_bars, first_ts, last_ts, flags FROM coverage WHERE dataset_id=%s AND symbol=%s "
		102	+ "AND (%s::date IS NULL OR session_date>=%s) AND (%s::date IS NULL OR session_date<=%s) ORDER BY session_date DESC LIMIT 2000",
		103	+ (dataset_id, sym, start, start, end, end)).fetchall()
		104	+ return {"data": rows, "meta": {"dataset_id": dataset_id, "symbol": sym}}

added services/api/src/findata_api/routers/quality.py +31 −0

				@@ -0,0 +1,31 @@
		1	+from __future__ import annotations
		2	+
		3	+from fastapi import APIRouter, Depends, Query
		4	+
		5	+from findata_api import auth as A
		6	+from findata_core.db import connection
		7	+
		8	+router = APIRouter(prefix="/quality", tags=["quality"])
		9	+
		10	+
		11	+@router.get("")
		12	+def quality(dataset_id: str = "market_bars.stock.1m.raw", p: A.Principal = Depends(A.require("read:market"))):
		13	+ with connection() as conn:
		14	+ report = conn.execute("SELECT * FROM quality_reports WHERE dataset_id=%s ORDER BY created_at DESC LIMIT 1", (dataset_id,)).fetchone()
		15	+ by_code = conn.execute("SELECT code, severity, count(*) n, sum((detail->>'rows')::int) rows FROM quality_anomalies WHERE dataset_id=%s AND created_at > now() - interval '30 days' GROUP BY 1,2 ORDER BY n DESC", (dataset_id,)).fetchall()
		16	+ reports = conn.execute("SELECT id, created_at, rows_checked, anomalies, summary FROM quality_reports WHERE dataset_id=%s ORDER BY created_at DESC LIMIT 30", (dataset_id,)).fetchall()
		17	+ return {"latest": report, "anomalies_by_code_30d": by_code, "reports": reports,
		18	+ "codes": {"ohlc_inconsistent": "high < max(open,close) or low > min(open,close)", "nonpositive_price": "price <= 0",
		19	+ "negative_volume": "volume < 0", "zero_volume": "volume == 0 (vendor normally omits these)", "fractional_volume": "non-integral volume",
		20	+ "off_interval": "timestamp not on the interval grid", "duplicate": "duplicate (symbol, timestamp)",
		21	+ "outside_session": "outside 04:00–20:00 ET", "non_trading_day": "bars on a non-session date", "price_jump": ">25 % move between consecutive bars"}}
		22	+
		23	+
		24	+@router.get("/anomalies")
		25	+def anomalies(dataset_id: str = "market_bars.stock.1m.raw", code: str | None = None, severity: str | None = None, symbol: str | None = None,
		26	+ limit: int = Query(200, le=5000), p: A.Principal = Depends(A.require("read:market"))):
		27	+ with connection() as conn:
		28	+ rows = conn.execute("SELECT id, symbol, session_date, code, severity, detail, created_at FROM quality_anomalies WHERE dataset_id=%s "
		29	+ "AND (%s::text IS NULL OR code=%s) AND (%s::text IS NULL OR severity=%s) AND (%s::text IS NULL OR symbol=%s) ORDER BY created_at DESC, id DESC LIMIT %s",
		30	+ (dataset_id, code, code, severity, severity, symbol, symbol, limit)).fetchall()
		31	+ return {"data": rows}

added services/api/src/findata_api/routers/query.py +54 −0

				@@ -0,0 +1,54 @@
		1	+from __future__ import annotations
		2	+
		3	+import time
		4	+
		5	+from fastapi import APIRouter, Depends, Request
		6	+from pydantic import BaseModel, Field
		7	+
		8	+from findata_api import auth as A
		9	+from findata_api import metrics as M
		10	+from findata_api.errors import ApiError
		11	+from findata_api.ratelimit import record_usage
		12	+from findata_core.config import get_settings
		13	+from findata_ingest.reader import dataset_views, run_sql
		14	+
		15	+router = APIRouter(prefix="/query", tags=["query"])
		16	+
		17	+
		18	+class QueryIn(BaseModel):
		19	+ sql: str = Field(..., max_length=20000)
		20	+ max_rows: int = Field(1000, ge=1, le=100_000)
		21	+
		22	+
		23	+@router.post("")
		24	+def query(body: QueryIn, request: Request, p: A.Principal = Depends(A.require("query"))):
		25	+ s = get_settings()
		26	+ views = dataset_views()
		27	+ t0 = time.monotonic()
		28	+ try:
		29	+ tbl, meta = run_sql(body.sql, min(body.max_rows, s.query_max_rows), s.query_timeout_seconds, views)
		30	+ except ValueError as e:
		31	+ raise ApiError(400, "query_rejected", str(e)) from None
		32	+ except TimeoutError as e:
		33	+ raise ApiError(408, "query_timeout", str(e)) from None
		34	+ except Exception as e: # noqa: BLE001
		35	+ raise ApiError(400, "query_error", str(e)[:500]) from None
		36	+ rows = tbl.to_pylist()
		37	+ for r in rows:
		38	+ for k, v in r.items():
		39	+ if hasattr(v, "isoformat"):
		40	+ r[k] = v.isoformat()
		41	+ M.ROWS.labels("query").inc(len(rows))
		42	+ record_usage(p.label, rows=len(rows))
		43	+ A.audit(request, "query.sql", None, rows=len(rows), ms=int((time.monotonic() - t0) * 1000), sql=body.sql[:500])
		44	+ return {"columns": [{"name": f.name, "type": str(f.type)} for f in tbl.schema], "rows": rows,
		45	+ "meta": {**meta, "rows": len(rows), "elapsed_ms": int((time.monotonic() - t0) * 1000),
		46	+ "views": sorted(views), "engine": "duckdb (read-only, sandboxed, 1 statement)"}}
		47	+
		48	+
		49	+@router.get("/views")
		50	+def views(p: A.Principal = Depends(A.require("query"))):
		51	+ v = dataset_views()
		52	+ return {"views": [{"name": k, "files": len(paths)} for k, paths in sorted(v.items())],
		53	+ "examples": ["SELECT symbol_as_reported, count(*) bars FROM market_bars_stock_1m_raw GROUP BY 1 ORDER BY 2 DESC LIMIT 20",
		54	+ "SELECT session_date, min(low) lo, max(high) hi, sum(volume) vol FROM market_bars_stock_1m_raw WHERE symbol_as_reported='AAPL' GROUP BY 1 ORDER BY 1"]}

added services/ingest/pyproject.toml +19 −0

				@@ -0,0 +1,19 @@
		1	+[project]
		2	+name = "findata-ingest"
		3	+version = "0.1.0"
		4	+requires-python = ">=3.12"
		5	+dependencies = ["findata-core", "findata-schema", "findata-quality", "findata-market-firstrate", "findata-fundamentals",
		6	+ "pyarrow>=18.0", "polars>=1.12", "duckdb>=1.1", "typer>=0.12"]
		7	+[project.scripts]
		8	+findata = "findata_ingest.cli:app"
		9	+[tool.uv.sources]
		10	+findata-core = { workspace = true }
		11	+findata-schema = { workspace = true }
		12	+findata-quality = { workspace = true }
		13	+findata-market-firstrate = { workspace = true }
		14	+findata-fundamentals = { workspace = true }
		15	+[build-system]
		16	+requires = ["hatchling"]
		17	+build-backend = "hatchling.build"
		18	+[tool.hatch.build.targets.wheel]
		19	+packages = ["src/findata_ingest"]

added services/ingest/src/findata_ingest/__init__.py +1 −0

				@@ -0,0 +1 @@
		1	+"""findata_ingest — lake writer (single-writer, atomic publication, versioned manifests), durable job queue, tasks."""

added services/ingest/src/findata_ingest/cli.py +138 −0

				@@ -0,0 +1,138 @@
		1	+"""`findata` operator CLI."""
		2	+from __future__ import annotations
		3	+
		4	+import json
		5	+from pathlib import Path
		6	+from typing import Optional
		7	+
		8	+import typer
		9	+
		10	+app = typer.Typer(no_args_is_help=True, help="FinData OS operator CLI")
		11	+ingest_app = typer.Typer(no_args_is_help=True)
		12	+app.add_typer(ingest_app, name="ingest")
		13	+
		14	+
		15	+@app.command()
		16	+def migrate() -> None:
		17	+ """Apply database migrations."""
		18	+ from findata_core.db import migrate as _m
		19	+ applied = _m()
		20	+ typer.echo(f"applied: {applied or 'nothing'}")
		21	+
		22	+
		23	+@app.command()
		24	+def discover(source: str = "all") -> None:
		25	+ """Sanitized live probe of vendor capabilities (no bulk download)."""
		26	+ out = {}
		27	+ if source in ("all", "firstrate"):
		28	+ from findata_market_firstrate import FirstRateMarketConnector
		29	+ out["firstrate"] = FirstRateMarketConnector().discover()
		30	+ if source in ("all", "firstrate_fundamentals"):
		31	+ from findata_fundamentals import FirstRateFundamentalsConnector
		32	+ out["firstrate_fundamentals"] = FirstRateFundamentalsConnector().discover()
		33	+ if source in ("all", "sec_edgar"):
		34	+ from findata_fundamentals import SecEdgarConnector
		35	+ out["sec_edgar"] = SecEdgarConnector().status()
		36	+ typer.echo(json.dumps(out, indent=2, default=str))
		37	+
		38	+
		39	+@app.command()
		40	+def worker(once: bool = False, no_scheduler: bool = False, kinds: Optional[str] = None) -> None:
		41	+ """Run the single ingest worker (+ scheduler)."""
		42	+ from findata_ingest.worker import main
		43	+ main(once=once, kinds=kinds.split(",") if kinds else None, with_scheduler=not no_scheduler)
		44	+
		45	+
		46	+@ingest_app.command("metadata")
		47	+def ingest_metadata(types: str = "stock,etf") -> None:
		48	+ from findata_ingest import queue
		49	+ typer.echo(queue.enqueue("metadata", None, {"types": types.split(",")}, priority=10, created_by="cli"))
		50	+
		51	+
		52	+@ingest_app.command("incremental")
		53	+def ingest_incremental(type_: str = typer.Option("stock", "--type"), period: str = "day", timeframe: str = "1min",
		54	+ adjustment: str = "UNADJUSTED", force: bool = False) -> None:
		55	+ from findata_ingest import queue
		56	+ from findata_ingest.tasks.common import DATASET_ASSET
		57	+ typer.echo(queue.enqueue("incremental", DATASET_ASSET[type_], {"type": type_, "period": period, "timeframe": timeframe,
		58	+ "adjustment": adjustment, "force": force}, priority=20, created_by="cli"))
		59	+
		60	+
		61	+@ingest_app.command("backfill")
		62	+def ingest_backfill(ticker_range: str, type_: str = typer.Option("stock", "--type"), timeframe: str = "1min",
		63	+ adjustment: str = "UNADJUSTED", symbols: Optional[str] = None, max_symbols: int = 0) -> None:
		64	+ """Bounded backfill of one ticker_range letter (full archive). Disk budget enforced by the lake."""
		65	+ from findata_ingest import queue
		66	+ from findata_ingest.tasks.common import DATASET_ASSET
		67	+ for letter in ticker_range.upper():
		68	+ jid = queue.enqueue("backfill", DATASET_ASSET[type_], {"type": type_, "ticker_range": letter, "timeframe": timeframe, "adjustment": adjustment,
		69	+ "symbols": symbols.split(",") if symbols else None, "max_symbols": max_symbols}, priority=35, created_by="cli",
		70	+ dedupe_key=f"backfill:{type_}:{letter}:{timeframe}:{adjustment}")
		71	+ typer.echo(f"{letter}: {jid or 'already queued'}")
		72	+
		73	+
		74	+@ingest_app.command("fundamentals")
		75	+def ingest_fundamentals(tickers: str) -> None:
		76	+ from findata_ingest import queue
		77	+ typer.echo(queue.enqueue("fundamentals", "fundamentals.financials", {"tickers": tickers.split(",")}, priority=30, created_by="cli"))
		78	+
		79	+
		80	+@ingest_app.command("derive")
		81	+def ingest_derive(dates: Optional[str] = None, source: str = "market_bars.stock.1m.raw") -> None:
		82	+ from findata_ingest import queue
		83	+ typer.echo(queue.enqueue("derive", source.replace(".1m.", ".5m."), {"source_dataset": source, "target_interval": "5m", "dates": dates.split(",") if dates else []}, created_by="cli"))
		84	+
		85	+
		86	+@ingest_app.command("compaction")
		87	+def ingest_compaction(dataset: str = "market_bars.stock.1m.raw", min_age_days: int = 35) -> None:
		88	+ from findata_ingest import queue
		89	+ typer.echo(queue.enqueue("compaction", dataset, {"min_age_days": min_age_days}, priority=60, created_by="cli"))
		90	+
		91	+
		92	+@ingest_app.command("jobs")
		93	+def ingest_jobs(limit: int = 20) -> None:
		94	+ from findata_core.db import fetch_all
		95	+ for r in fetch_all("SELECT id, kind, dataset_id, status, attempts, created_at, finished_at, left(last_error, 80) err FROM ingest_jobs ORDER BY created_at DESC LIMIT %s", (limit,)):
		96	+ typer.echo(f"{str(r['id'])[:8]} {r['kind']:<12} {str(r['dataset_id']):<28} {r['status']:<9} a={r['attempts']} {r['created_at']:%m-%d %H:%M} {r['err'] or ''}")
		97	+
		98	+
		99	+@app.command()
		100	+def backup(now: bool = True) -> None:
		101	+ from findata_ingest import queue
		102	+ typer.echo(queue.enqueue("backup", None, {}, priority=5, created_by="cli"))
		103	+
		104	+
		105	+@app.command("restore-drill")
		106	+def restore_drill(dest: Path = Path("/tmp/findata-restore-drill"), dataset: str = "market_bars.stock.1m.raw") -> None:
		107	+ from findata_core.config import get_settings
		108	+ from findata_ingest.tasks.backup import restore_drill as rd
		109	+ typer.echo(json.dumps(rd(get_settings().backup_target, dest, dataset), indent=2, default=str))
		110	+
		111	+
		112	+@app.command("create-owner")
		113	+def create_owner(email: str, password: Optional[str] = None) -> None:
		114	+ """Create (or reset the password of) the owner account; prints the TOTP provisioning URI."""
		115	+ from findata_api.auth import create_owner as _co
		116	+ typer.echo(json.dumps(_co(email, password), indent=2))
		117	+
		118	+
		119	+@app.command("create-key")
		120	+def create_key(email: str, name: str, scopes: str = "read:market,read:fundamentals,query,export") -> None:
		121	+ from findata_api.auth import create_api_key_for_email
		122	+ typer.echo(json.dumps(create_api_key_for_email(email, name, scopes.split(",")), indent=2))
		123	+
		124	+
		125	+@app.command()
		126	+def status() -> None:
		127	+ from findata_core.db import fetch_all, fetch_one
		128	+ from findata_ingest.lake import Lake
		129	+ lake = Lake()
		130	+ typer.echo(f"lake {lake.root} free {lake.free_gb():.1f} GB curated {lake.used_bytes('curated')/1e9:.2f} GB raw {lake.used_bytes('raw')/1e9:.2f} GB")
		131	+ for r in fetch_all("SELECT d.id, d.status, d.current_version, v.file_count, v.row_count, v.bytes FROM datasets d LEFT JOIN dataset_versions v ON v.dataset_id=d.id AND v.version=d.current_version ORDER BY d.id"):
		132	+ typer.echo(f" {r['id']:<36} {r['status']:<22} v{r['current_version']:<4} files={r['file_count'] or 0:<6} rows={r['row_count'] or 0:<12} {(r['bytes'] or 0)/1e6:.1f} MB")
		133	+ q = fetch_one("SELECT count(*) FILTER (WHERE status='queued') q, count(*) FILTER (WHERE status='running') r, count(*) FILTER (WHERE status='dead') d FROM ingest_jobs")
		134	+ typer.echo(f"jobs queued={q['q']} running={q['r']} dead={q['d']}")
		135	+
		136	+
		137	+if __name__ == "__main__":
		138	+ app()

added services/ingest/src/findata_ingest/lake.py +227 −0

				@@ -0,0 +1,227 @@
		1	+"""Parquet lake: layout, atomic publication, versions and snapshots.
		2	+
		3	+Layout (relative to FINDATA_LAKE):
		4	+ raw/<source>/<dataset>/<YYYY>/<archive>.zip immutable vendor archives (+ sha256 in raw_archives)
		5	+ curated/<dataset>/delta/session_date=YYYY-MM-DD/part-<id>.parquet one file per session (all symbols, sorted)
		6	+ curated/<dataset>/base/symbol=<SYM>/year=YYYY/part-<id>.parquet compacted / backfilled history
		7	+ manifests/<dataset>/v<version>.json reproducible snapshot manifests
		8	+ _tmp/ staging (same filesystem → atomic rename)
		9	+ _retired/<dataset>/... files removed from the live set (GC after 7 days)
		10	+ exports/<export_id>.<ext>
		11	+
		12	+Invariant: at any dataset version, each (instrument_id, timestamp_utc) is in exactly one live file.
		13	+Only the ingest worker writes under curated/ (file lock `.writer.lock`); the API only reads.
		14	+"""
		15	+from __future__ import annotations
		16	+
		17	+import fcntl
		18	+import hashlib
		19	+import json
		20	+import os
		21	+import shutil
		22	+import uuid
		23	+from dataclasses import dataclass
		24	+from datetime import UTC, date, datetime
		25	+from pathlib import Path
		26	+from typing import Any
		27	+
		28	+import pyarrow as pa
		29	+import pyarrow.parquet as pq
		30	+
		31	+from findata_core.config import get_settings
		32	+from findata_core.db import transaction
		33	+
		34	+ROW_GROUP_INTRADAY = 65_536
		35	+ROW_GROUP_DAILY = 1_000_000
		36	+
		37	+
		38	+@dataclass
		39	+class WrittenFile:
		40	+ rel_path: str
		41	+ layout: str
		42	+ symbol_min: str
		43	+ symbol_max: str
		44	+ date_min: date
		45	+ date_max: date
		46	+ row_count: int
		47	+ bytes: int
		48	+ sha256: str
		49	+
		50	+
		51	+class WriterLock:
		52	+ def __init__(self, lake: Path):
		53	+ self.path = lake / ".writer.lock"
		54	+ self._fh = None
		55	+
		56	+ def __enter__(self):
		57	+ self.path.parent.mkdir(parents=True, exist_ok=True)
		58	+ self._fh = open(self.path, "w")
		59	+ try:
		60	+ fcntl.flock(self._fh, fcntl.LOCK_EX | fcntl.LOCK_NB)
		61	+ except BlockingIOError as e:
		62	+ raise RuntimeError("another lake writer holds the lock") from e
		63	+ self._fh.write(f"{os.getpid()} {datetime.now(UTC).isoformat()}\n")
		64	+ self._fh.flush()
		65	+ return self
		66	+
		67	+ def __exit__(self, *exc):
		68	+ if self._fh:
		69	+ fcntl.flock(self._fh, fcntl.LOCK_UN)
		70	+ self._fh.close()
		71	+
		72	+
		73	+class Lake:
		74	+ def __init__(self, root: Path | None = None):
		75	+ self.root = (root or get_settings().lake).expanduser()
		76	+ for sub in ("raw", "curated", "manifests", "_tmp", "_retired", "exports"):
		77	+ (self.root / sub).mkdir(parents=True, exist_ok=True)
		78	+
		79	+ # ------------------------------------------------------------------ paths
		80	+ def raw_dir(self, source_id: str, dataset_id: str) -> Path:
		81	+ p = self.root / "raw" / source_id / dataset_id / str(datetime.now(UTC).year)
		82	+ p.mkdir(parents=True, exist_ok=True)
		83	+ return p
		84	+
		85	+ def abs(self, rel: str) -> Path:
		86	+ return self.root / rel
		87	+
		88	+ def resolve(self, rel: str) -> Path:
		89	+ """Live path, or its retired location (older snapshots stay readable until GC after 7 days)."""
		90	+ p = self.root / rel
		91	+ if p.exists():
		92	+ return p
		93	+ if rel.startswith("curated/"):
		94	+ r = self.root / "_retired" / rel[len("curated/"):]
		95	+ if r.exists():
		96	+ return r
		97	+ return p
		98	+
		99	+ def free_gb(self) -> float:
		100	+ st = os.statvfs(self.root)
		101	+ return st.f_bavail * st.f_frsize / 1e9
		102	+
		103	+ def used_bytes(self, sub: str = "curated") -> int:
		104	+ total = 0
		105	+ for p in (self.root / sub).rglob("*"):
		106	+ if p.is_file():
		107	+ total += p.stat().st_size
		108	+ return total
		109	+
		110	+ def check_budget(self) -> None:
		111	+ s = get_settings()
		112	+ if self.free_gb() < s.lake_hard_min_free_gb:
		113	+ raise RuntimeError(f"lake hard stop: only {self.free_gb():.1f} GB free (< {s.lake_hard_min_free_gb} GB)")
		114	+
		115	+ # ------------------------------------------------------------------ writing
		116	+ def write_table(self, dataset_id: str, table: pa.Table, layout: str, partition: dict[str, str],
		117	+ sort: bool = True) -> WrittenFile:
		118	+ """Write a Parquet file into _tmp then move it atomically under curated/. Does NOT register it."""
		119	+ self.check_budget()
		120	+ if table.num_rows == 0:
		121	+ raise ValueError("refusing to write an empty file")
		122	+ if sort:
		123	+ table = table.sort_by([("symbol_as_reported", "ascending"), ("timestamp_utc", "ascending")])
		124	+ part_dir = "/".join(f"{k}={v}" for k, v in partition.items())
		125	+ rel = f"curated/{dataset_id}/{layout}/{part_dir}/part-{uuid.uuid4().hex[:12]}.parquet"
		126	+ final = self.root / rel
		127	+ tmp = self.root / "_tmp" / f"{uuid.uuid4().hex}.parquet"
		128	+ interval = table.column("interval")[0].as_py() if "interval" in table.column_names else "1d"
		129	+ rg = ROW_GROUP_DAILY if interval == "1d" else ROW_GROUP_INTRADAY
		130	+ pq.write_table(table, tmp, compression="zstd", compression_level=3, row_group_size=rg,
		131	+ write_statistics=True, use_dictionary=["symbol_as_reported", "instrument_id", "asset_class",
		132	+ "interval", "currency", "adjustment_type", "source_id"])
		133	+ with open(tmp, "rb") as f:
		134	+ os.fsync(f.fileno())
		135	+ digest = _sha256(tmp)
		136	+ final.parent.mkdir(parents=True, exist_ok=True)
		137	+ os.replace(tmp, final)
		138	+ syms = table.column("symbol_as_reported")
		139	+ dates = table.column("session_date")
		140	+ import pyarrow.compute as pc
		141	+ return WrittenFile(rel_path=rel, layout=layout, symbol_min=pc.min(syms).as_py(), symbol_max=pc.max(syms).as_py(),
		142	+ date_min=pc.min(dates).as_py(), date_max=pc.max(dates).as_py(), row_count=table.num_rows,
		143	+ bytes=final.stat().st_size, sha256=digest)
		144	+
		145	+ # ------------------------------------------------------------------ publication (atomic, versioned)
		146	+ def publish(self, dataset_id: str, added: list[WrittenFile], retire_paths: list[str], ingest_run_id: str | None,
		147	+ note: str = "") -> dict[str, Any]:
		148	+ """One transaction: register added files, retire replaced files, bump the dataset version, write manifest.
		149	+ Retired files are moved to _retired/ *after* commit (readers that already opened them keep working)."""
		150	+ with transaction() as conn:
		151	+ row = conn.execute("SELECT current_version FROM datasets WHERE id=%s FOR UPDATE", (dataset_id,)).fetchone()
		152	+ if row is None:
		153	+ raise RuntimeError(f"unknown dataset {dataset_id}")
		154	+ version = int(row["current_version"]) + 1
		155	+ for p in retire_paths:
		156	+ conn.execute("UPDATE lake_files SET version_removed=%s WHERE path=%s AND version_removed IS NULL", (version, p))
		157	+ for f in added:
		158	+ conn.execute(
		159	+ "INSERT INTO lake_files(dataset_id, path, layout, symbol_min, symbol_max, date_min, date_max, row_count, bytes, sha256, version_added, ingest_run_id) "
		160	+ "VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)",
		161	+ (dataset_id, f.rel_path, f.layout, f.symbol_min, f.symbol_max, f.date_min, f.date_max, f.row_count, f.bytes, f.sha256, version, ingest_run_id))
		162	+ live = conn.execute("SELECT path, sha256, row_count, bytes FROM lake_files WHERE dataset_id=%s AND version_removed IS NULL ORDER BY path",
		163	+ (dataset_id,)).fetchall()
		164	+ snapshot_id = hashlib.sha256("\n".join(f"{r['path']} {r['sha256']}" for r in live).encode()).hexdigest()
		165	+ file_count = len(live)
		166	+ row_count = sum(int(r["row_count"]) for r in live)
		167	+ nbytes = sum(int(r["bytes"]) for r in live)
		168	+ conn.execute("INSERT INTO dataset_versions(dataset_id, version, snapshot_id, file_count, row_count, bytes, ingest_run_id, note) VALUES (%s,%s,%s,%s,%s,%s,%s,%s)",
		169	+ (dataset_id, version, snapshot_id, file_count, row_count, nbytes, ingest_run_id, note))
		170	+ conn.execute("UPDATE datasets SET current_version=%s, updated_at=now() WHERE id=%s", (version, dataset_id))
		171	+ manifest = {"dataset_id": dataset_id, "version": version, "snapshot_id": snapshot_id,
		172	+ "created_at": datetime.now(UTC).isoformat(), "ingest_run_id": ingest_run_id, "note": note,
		173	+ "files": [{"path": r["path"], "sha256": r["sha256"], "rows": int(r["row_count"]), "bytes": int(r["bytes"])} for r in live]}
		174	+ mpath = self.root / "manifests" / dataset_id / f"v{version}.json"
		175	+ mpath.parent.mkdir(parents=True, exist_ok=True)
		176	+ tmp = mpath.with_suffix(".json.tmp")
		177	+ tmp.write_text(json.dumps(manifest, indent=1, default=str))
		178	+ os.replace(tmp, mpath)
		179	+ for p in retire_paths:
		180	+ src = self.root / p
		181	+ if src.exists():
		182	+ dst = self.root / "_retired" / p[len("curated/"):] if p.startswith("curated/") else self.root / "_retired" / p
		183	+ dst.parent.mkdir(parents=True, exist_ok=True)
		184	+ shutil.move(str(src), str(dst))
		185	+ return {"version": version, "snapshot_id": snapshot_id, "file_count": file_count, "row_count": row_count, "bytes": nbytes}
		186	+
		187	+ def gc_retired(self, older_than_days: int = 7) -> int:
		188	+ cutoff = datetime.now(UTC).timestamp() - older_than_days * 86400
		189	+ n = 0
		190	+ for p in (self.root / "_retired").rglob("*.parquet"):
		191	+ if p.stat().st_mtime < cutoff:
		192	+ p.unlink()
		193	+ n += 1
		194	+ for p in (self.root / "_tmp").glob("*"):
		195	+ if p.stat().st_mtime < datetime.now(UTC).timestamp() - 86400:
		196	+ p.unlink()
		197	+ return n
		198	+
		199	+
		200	+def _sha256(path: Path) -> str:
		201	+ h = hashlib.sha256()
		202	+ with open(path, "rb") as f:
		203	+ for chunk in iter(lambda: f.read(4 * 1024 * 1024), b""):
		204	+ h.update(chunk)
		205	+ return h.hexdigest()
		206	+
		207	+
		208	+def live_files(conn, dataset_id: str, symbols: list[str] | None = None, start: date | None = None,
		209	+ end: date | None = None, version: int | None = None) -> list[dict[str, Any]]:
		210	+ """Files to scan for a query (planner). `version=None` → current live set."""
		211	+ sql = "SELECT path, layout, symbol_min, symbol_max, date_min, date_max, row_count FROM lake_files WHERE dataset_id=%s"
		212	+ params: list[Any] = [dataset_id]
		213	+ if version is None:
		214	+ sql += " AND version_removed IS NULL"
		215	+ else:
		216	+ sql += " AND version_added <= %s AND (version_removed IS NULL OR version_removed > %s)"
		217	+ params += [version, version]
		218	+ if start is not None:
		219	+ sql += " AND date_max >= %s"
		220	+ params.append(start)
		221	+ if end is not None:
		222	+ sql += " AND date_min <= %s"
		223	+ params.append(end)
		224	+ rows = conn.execute(sql, params).fetchall()
		225	+ if symbols:
		226	+ rows = [r for r in rows if any(r["symbol_min"] <= s <= r["symbol_max"] for s in symbols)]
		227	+ return rows

added services/ingest/src/findata_ingest/queue.py +108 −0

				@@ -0,0 +1,108 @@
		1	+"""Durable job queue on PostgreSQL (SELECT … FOR UPDATE SKIP LOCKED). Survives reboots; retries with
		2	+exponential backoff + jitter; dead-letter after max_attempts; checkpoints keyed by scope."""
		3	+from __future__ import annotations
		4	+
		5	+import json
		6	+import random
		7	+import socket
		8	+from datetime import UTC, datetime, timedelta
		9	+from typing import Any
		10	+
		11	+from findata_core.db import connection, transaction
		12	+from findata_core.redact import redact
		13	+from findata_core.config import get_settings
		14	+
		15	+WORKER_ID = f"{socket.gethostname()}:{random.randint(1000, 9999)}"
		16	+
		17	+
		18	+def enqueue(kind: str, dataset_id: str | None = None, params: dict[str, Any] | None = None, priority: int = 50,
		19	+ dedupe_key: str | None = None, max_attempts: int = 5, created_by: str = "system",
		20	+ run_at: datetime | None = None) -> str | None:
		21	+ """Insert a job; returns id, or None if a job with the same dedupe_key is already queued/running."""
		22	+ with transaction() as conn:
		23	+ if dedupe_key:
		24	+ r = conn.execute("SELECT id FROM ingest_jobs WHERE dedupe_key=%s", (dedupe_key,)).fetchone()
		25	+ if r:
		26	+ st = conn.execute("SELECT status FROM ingest_jobs WHERE id=%s", (r["id"],)).fetchone()["status"]
		27	+ if st in ("queued", "running"):
		28	+ return None
		29	+ conn.execute("UPDATE ingest_jobs SET dedupe_key=NULL WHERE id=%s", (r["id"],))
		30	+ r = conn.execute(
		31	+ "INSERT INTO ingest_jobs(kind, dataset_id, params, priority, dedupe_key, max_attempts, created_by, next_run_at) "
		32	+ "VALUES (%s,%s,%s,%s,%s,%s,%s,%s) RETURNING id",
		33	+ (kind, dataset_id, json.dumps(params or {}), priority, dedupe_key, max_attempts, created_by,
		34	+ run_at or datetime.now(UTC))).fetchone()
		35	+ return str(r["id"])
		36	+
		37	+
		38	+def claim_next(kinds: list[str] | None = None) -> dict[str, Any] | None:
		39	+ with transaction() as conn:
		40	+ sql = ("SELECT * FROM ingest_jobs WHERE status='queued' AND next_run_at <= now() "
		41	+ + ("AND kind = ANY(%s) " if kinds else "") +
		42	+ "ORDER BY priority, next_run_at LIMIT 1 FOR UPDATE SKIP LOCKED")
		43	+ job = conn.execute(sql, (kinds,) if kinds else None).fetchone()
		44	+ if not job:
		45	+ return None
		46	+ conn.execute("UPDATE ingest_jobs SET status='running', attempts=attempts+1, locked_by=%s, locked_at=now(), "
		47	+ "started_at=COALESCE(started_at, now()) WHERE id=%s", (WORKER_ID, job["id"]))
		48	+ run = conn.execute("INSERT INTO ingest_runs(job_id, worker, code_version) VALUES (%s,%s,%s) RETURNING id",
		49	+ (job["id"], WORKER_ID, _code_version())).fetchone()
		50	+ job = dict(job)
		51	+ job["attempts"] += 1
		52	+ job["run_id"] = str(run["id"])
		53	+ return job
		54	+
		55	+
		56	+def finish(job: dict[str, Any], ok: bool, result: dict[str, Any] | None = None, error: str | None = None) -> None:
		57	+ secrets = get_settings().secret_values()
		58	+ with transaction() as conn:
		59	+ if ok:
		60	+ conn.execute("UPDATE ingest_jobs SET status='succeeded', finished_at=now(), locked_by=NULL, result=%s, last_error=NULL WHERE id=%s",
		61	+ (json.dumps(result or {}, default=str), job["id"]))
		62	+ conn.execute("UPDATE ingest_runs SET status='succeeded', finished_at=now(), stats=%s WHERE id=%s",
		63	+ (json.dumps(result or {}, default=str), job["run_id"]))
		64	+ return
		65	+ msg = redact(error or "unknown error", secrets)[:4000]
		66	+ dead = job["attempts"] >= job["max_attempts"]
		67	+ if dead:
		68	+ conn.execute("UPDATE ingest_jobs SET status='dead', finished_at=now(), locked_by=NULL, last_error=%s WHERE id=%s", (msg, job["id"]))
		69	+ else:
		70	+ delay = min(3600, 30 * 2 ** job["attempts"]) + random.uniform(0, 30)
		71	+ conn.execute("UPDATE ingest_jobs SET status='queued', locked_by=NULL, last_error=%s, next_run_at=%s WHERE id=%s",
		72	+ (msg, datetime.now(UTC) + timedelta(seconds=delay), job["id"]))
		73	+ conn.execute("UPDATE ingest_runs SET status=%s, finished_at=now(), stats=%s WHERE id=%s",
		74	+ ("dead" if dead else "failed", json.dumps({"error": msg}), job["run_id"]))
		75	+
		76	+
		77	+def progress(job_id: str, data: dict[str, Any]) -> None:
		78	+ with transaction() as conn:
		79	+ conn.execute("UPDATE ingest_jobs SET progress=%s WHERE id=%s", (json.dumps(data, default=str), job_id))
		80	+
		81	+
		82	+def set_checkpoint(scope: str, key: str, value: dict[str, Any]) -> None:
		83	+ with transaction() as conn:
		84	+ conn.execute("INSERT INTO checkpoints(scope, key, value) VALUES (%s,%s,%s) ON CONFLICT (scope, key) DO UPDATE SET value=EXCLUDED.value, updated_at=now()",
		85	+ (scope, key, json.dumps(value, default=str)))
		86	+
		87	+
		88	+def get_checkpoint(scope: str, key: str) -> dict[str, Any] | None:
		89	+ with connection() as conn:
		90	+ r = conn.execute("SELECT value FROM checkpoints WHERE scope=%s AND key=%s", (scope, key)).fetchone()
		91	+ return r["value"] if r else None
		92	+
		93	+
		94	+def requeue_stale(max_age_minutes: int = 240) -> int:
		95	+ """Jobs left 'running' by a crashed worker are re-queued (idempotent tasks + checkpoints make this safe)."""
		96	+ with transaction() as conn:
		97	+ r = conn.execute("UPDATE ingest_jobs SET status='queued', locked_by=NULL, next_run_at=now() WHERE status='running' "
		98	+ "AND locked_at < now() - make_interval(mins => %s) RETURNING id", (max_age_minutes,)).fetchall()
		99	+ return len(r)
		100	+
		101	+
		102	+def _code_version() -> str:
		103	+ import subprocess
		104	+ try:
		105	+ return subprocess.run(["git", "rev-parse", "--short", "HEAD"], capture_output=True, text=True, timeout=5,
		106	+ cwd=str(get_settings().root)).stdout.strip() or "unknown"
		107	+ except Exception: # noqa: BLE001
		108	+ return "unknown"

added services/ingest/src/findata_ingest/reader.py +161 −0

				@@ -0,0 +1,161 @@
		1	+"""Read side: DuckDB over the live Parquet file set selected from the Postgres manifest (`lake_files`).
		2	+
		3	+Adjustments are applied at query time from `corporate_actions` (explicit, reproducible):
		4	+ split : multiply prices by Π(1/ratio) for splits with ex_date > bar session_date; divide volume by the same factor
		5	+ split_div : additionally multiply by Π(1 - div/prev_close) for dividends with ex_date > session_date
		6	+ (prev_close = last raw close strictly before ex_date in the requested data — if unavailable the
		7	+ dividend factor is skipped and reported in `adjustment_notes`).
		8	+"""
		9	+from __future__ import annotations
		10	+
		11	+from datetime import date
		12	+from typing import Any
		13	+
		14	+import duckdb
		15	+import pyarrow as pa
		16	+
		17	+from findata_core.config import get_settings
		18	+from findata_core.db import connection
		19	+from findata_ingest.lake import Lake, live_files
		20	+from findata_schema import BARS_SCHEMA
		21	+
		22	+
		23	+def _con(read_only: bool = True) -> duckdb.DuckDBPyConnection:
		24	+ con = duckdb.connect(database=":memory:", config={"threads": 8, "memory_limit": "8GB", "TimeZone": "UTC"})
		25	+ return con
		26	+
		27	+
		28	+def _arrow(con: duckdb.DuckDBPyConnection, sql: str, params: dict[str, Any] | None) -> pa.Table:
		29	+ try:
		30	+ rel = con.sql(sql, params=params) if params else con.sql(sql)
		31	+ return rel.to_arrow_table()
		32	+ except TypeError: # older duckdb without params= on sql()
		33	+ return con.execute(sql, params).fetch_arrow_table()
		34	+
		35	+
		36	+def empty_bars() -> pa.Table:
		37	+ return pa.table({f.name: pa.array([], type=f.type) for f in BARS_SCHEMA}, schema=BARS_SCHEMA)
		38	+
		39	+
		40	+def read_bars(dataset_id: str, symbols: list[str], start: date | None, end: date | None, version: int | None = None,
		41	+ limit: int | None = None, columns: list[str] | None = None, lake: Lake | None = None) -> tuple[pa.Table, dict[str, Any]]:
		42	+ lake = lake or Lake()
		43	+ with connection() as conn:
		44	+ files = live_files(conn, dataset_id, symbols, start, end, version)
		45	+ ver = conn.execute("SELECT current_version FROM datasets WHERE id=%s", (dataset_id,)).fetchone()
		46	+ meta = {"dataset_id": dataset_id, "version": version if version is not None else (ver["current_version"] if ver else None),
		47	+ "files_scanned": len(files)}
		48	+ if not files:
		49	+ return empty_bars(), meta
		50	+ paths = [str(lake.resolve(f["path"])) for f in files]
		51	+ con = _con()
		52	+ con.register("paths", pa.table({"p": paths}))
		53	+ cols = ", ".join(columns) if columns else "*"
		54	+ where = ["symbol_as_reported IN (SELECT UNNEST($syms))"]
		55	+ params: dict[str, Any] = {"syms": symbols}
		56	+ if start:
		57	+ where.append("session_date >= $start")
		58	+ params["start"] = start
		59	+ if end:
		60	+ where.append("session_date <= $end")
		61	+ params["end"] = end
		62	+ sql = f"SELECT {cols} FROM read_parquet($paths, union_by_name=true, hive_partitioning=false) WHERE {' AND '.join(where)} ORDER BY symbol_as_reported, timestamp_utc"
		63	+ params["paths"] = paths
		64	+ if limit:
		65	+ sql += f" LIMIT {int(limit) + 1}"
		66	+ tbl = _arrow(con, sql, params)
		67	+ meta["truncated"] = bool(limit and tbl.num_rows > limit)
		68	+ if limit and tbl.num_rows > limit:
		69	+ tbl = tbl.slice(0, limit)
		70	+ if not columns:
		71	+ tbl = tbl.cast(BARS_SCHEMA)
		72	+ return tbl, meta
		73	+
		74	+
		75	+def apply_adjustment(table: pa.Table, adjustment: str, lake: Lake | None = None) -> tuple[pa.Table, list[str]]:
		76	+ """Return an adjusted copy of raw bars (`adjustment_type` column updated). Never mutates the lake."""
		77	+ if adjustment in ("raw", None) or table.num_rows == 0:
		78	+ return table, []
		79	+ import polars as pl
		80	+ df = pl.from_arrow(table)
		81	+ syms = df.get_column("symbol_as_reported").unique().to_list()
		82	+ iids = [f"firstrate:{df.filter(pl.col('symbol_as_reported') == s).get_column('asset_class')[0]}:{s}" for s in syms]
		83	+ with connection() as conn:
		84	+ acts = conn.execute("SELECT instrument_id, action_type, ex_date, value::float8 AS value FROM corporate_actions WHERE instrument_id = ANY(%s) ORDER BY ex_date",
		85	+ (iids,)).fetchall()
		86	+ notes: list[str] = []
		87	+ if not acts:
		88	+ notes.append("no corporate actions on file for requested symbols")
		89	+ return df.with_columns(pl.lit(adjustment).alias("adjustment_type")).to_arrow().cast(BARS_SCHEMA), notes
		90	+ out_frames = []
		91	+ for s in syms:
		92	+ sub = df.filter(pl.col("symbol_as_reported") == s).sort("timestamp_utc")
		93	+ iid = f"firstrate:{sub.get_column('asset_class')[0]}:{s}"
		94	+ factor = pl.Series("f", [1.0] * sub.height)
		95	+ sd = sub.get_column("session_date")
		96	+ for a in acts:
		97	+ if a["instrument_id"] != iid:
		98	+ continue
		99	+ if a["action_type"] == "split":
		100	+ f = 1.0 / float(a["value"])
		101	+ factor = factor * pl.Series([f if d < a["ex_date"] else 1.0 for d in sd])
		102	+ elif a["action_type"] == "dividend" and adjustment == "split_div":
		103	+ prev = sub.filter(pl.col("session_date") < a["ex_date"]).get_column("close")
		104	+ if prev.len() == 0:
		105	+ notes.append(f"{s}: dividend {a['ex_date']} skipped (no prior close in range)")
		106	+ continue
		107	+ f = 1.0 - float(a["value"]) / float(prev[-1])
		108	+ factor = factor * pl.Series([f if d < a["ex_date"] else 1.0 for d in sd])
		109	+ sub = sub.with_columns(factor.alias("_f")).with_columns(
		110	+ (pl.col("open") * pl.col("_f")).alias("open"), (pl.col("high") * pl.col("_f")).alias("high"),
		111	+ (pl.col("low") * pl.col("_f")).alias("low"), (pl.col("close") * pl.col("_f")).alias("close"),
		112	+ (pl.col("volume") / pl.col("_f")).alias("volume"), pl.lit(adjustment).alias("adjustment_type")).drop("_f")
		113	+ out_frames.append(sub)
		114	+ res = pl.concat(out_frames).sort(["symbol_as_reported", "timestamp_utc"])
		115	+ return res.to_arrow().cast(BARS_SCHEMA), notes
		116	+
		117	+
		118	+def run_sql(sql: str, max_rows: int, timeout_s: int, views: dict[str, list[str]] | None = None) -> tuple[pa.Table, dict[str, Any]]:
		119	+ """Sandboxed read-only SQL: DuckDB in-memory, external access limited to the registered dataset views."""
		120	+ import re
		121	+ import threading
		122	+
		123	+ forbidden = re.compile(r"\b(attach|copy|export|import|install|load|create|insert|update|delete|drop|alter|pragma|set|call|read_csv|read_json|read_text|glob|httpfs)\b", re.I)
		124	+ if forbidden.search(sql) or ";" in sql.strip().rstrip(";"):
		125	+ raise ValueError("only a single read-only SELECT statement is allowed")
		126	+ if not re.match(r"^\s*(select|with|describe|show|summarize)\b", sql, re.I):
		127	+ raise ValueError("statement must start with SELECT / WITH")
		128	+ con = _con()
		129	+ lake_root = str(Lake().root).replace("'", "''")
		130	+ con.execute(f"SET allowed_directories = ['{lake_root}/curated', '{lake_root}/_retired']")
		131	+ for name, paths in (views or {}).items():
		132	+ if not re.fullmatch(r"[a-z][a-z0-9_]*", name):
		133	+ raise ValueError(f"bad view name {name}")
		134	+ if paths:
		135	+ lst = ", ".join("'" + p.replace("'", "''") + "'" for p in paths)
		136	+ con.execute(f"CREATE VIEW {name} AS SELECT * FROM read_parquet([{lst}], union_by_name=true, hive_partitioning=false)")
		137	+ else:
		138	+ con.execute(f"CREATE VIEW {name} AS SELECT * FROM (VALUES (NULL)) t(empty) WHERE false")
		139	+ con.execute("SET enable_external_access = false")
		140	+ timer = threading.Timer(timeout_s, con.interrupt)
		141	+ timer.start()
		142	+ try:
		143	+ tbl = _arrow(con, f"SELECT * FROM ({sql.strip().rstrip(';')}) q LIMIT {int(max_rows) + 1}", None)
		144	+ except duckdb.InterruptException as e:
		145	+ raise TimeoutError(f"query exceeded {timeout_s}s") from e
		146	+ finally:
		147	+ timer.cancel()
		148	+ truncated = tbl.num_rows > max_rows
		149	+ return tbl.slice(0, max_rows), {"truncated": truncated}
		150	+
		151	+
		152	+def dataset_views() -> dict[str, list[str]]:
		153	+ """Map SQL view names (dataset ids with dots → underscores) to live file lists."""
		154	+ lake = Lake()
		155	+ out: dict[str, list[str]] = {}
		156	+ with connection() as conn:
		157	+ ds = conn.execute("SELECT id FROM datasets WHERE kind IN ('market_bars','derived')").fetchall()
		158	+ for d in ds:
		159	+ files = live_files(conn, d["id"])
		160	+ out[d["id"].replace(".", "_")] = [str(lake.abs(f["path"])) for f in files]
		161	+ return out

added services/ingest/src/findata_ingest/tasks/__init__.py +13 −0

				@@ -0,0 +1,13 @@
		1	+from findata_ingest.tasks import backfill, backup, compaction, derive, fundamentals, incremental, metadata, quality # noqa: F401
		2	+
		3	+REGISTRY = {
		4	+ "metadata": metadata.run,
		5	+ "incremental": incremental.run,
		6	+ "backfill": backfill.run,
		7	+ "derive": derive.run,
		8	+ "compaction": compaction.run,
		9	+ "fundamentals": fundamentals.run,
		10	+ "backup": backup.run,
		11	+ "quality": quality.run,
		12	+ "gc": quality.gc,
		13	+}

added services/ingest/src/findata_ingest/tasks/backfill.py +111 −0

				@@ -0,0 +1,111 @@
		1	+"""Bounded historical backfill from `period=full&ticker_range=<letter>` archives → base files per (symbol, year).
		2	+
		3	+Streams one vendor file (one ticker, full history) at a time so memory stays flat. Dates that already have a live
		4	+delta file are excluded (they are compacted later) so the no-duplicate invariant holds. Resumable: progress
		5	+checkpoint `job:<id>/done_symbols`; a restarted job skips symbols already published.
		6	+"""
		7	+from __future__ import annotations
		8	+
		9	+from typing import Any
		10	+
		11	+import pyarrow as pa
		12	+import pyarrow.compute as pc
		13	+
		14	+from findata_core.db import connection, transaction
		15	+from findata_ingest import queue
		16	+from findata_ingest.lake import Lake
		17	+from findata_ingest.tasks.common import DATASET_ASSET, live_delta_dates, record_anomalies, record_quality_report, record_raw_archive, upsert_coverage
		18	+from findata_market_firstrate import FirstRateMarketConnector
		19	+from findata_schema import Interval
		20	+from findata_schema.connector import FetchRequest
		21	+
		22	+
		23	+def run(job: dict[str, Any], lake: Lake, log) -> dict[str, Any]:
		24	+ p = job.get("params") or {}
		25	+ asset = p.get("type", "stock")
		26	+ letter = p["ticker_range"]
		27	+ timeframe = p.get("timeframe", "1min")
		28	+ adjustment = p.get("adjustment", "UNADJUSTED")
		29	+ only = set(s.upper() for s in (p.get("symbols") or []))
		30	+ max_symbols = int(p.get("max_symbols") or 0)
		31	+ dataset_id = job.get("dataset_id") or DATASET_ASSET[asset]
		32	+ run_id = job.get("run_id")
		33	+ interval = Interval({"1min": "1m", "5min": "5m", "30min": "30m", "1hour": "1h", "1day": "1d"}[timeframe])
		34	+ conn_fr = FirstRateMarketConnector()
		35	+
		36	+ ck = queue.get_checkpoint(f"job:{job['id']}", "state") or {}
		37	+ done = set(ck.get("done_symbols") or [])
		38	+ raw_rel = ck.get("raw_path")
		39	+ if raw_rel and (lake.root / raw_rel).exists():
		40	+ from findata_schema.connector import FetchResult
		41	+ from datetime import datetime
		42	+ res = FetchResult(request=FetchRequest(dataset_id, {"type": asset, "period": "full", "ticker_range": letter, "timeframe": timeframe, "adjustment": adjustment}),
		43	+ path=lake.root / raw_rel, sha256=ck["sha256"], bytes=ck["bytes"], fetched_at=datetime.fromisoformat(ck["fetched_at"]),
		44	+ vendor_last_update=None)
		45	+ log.info("backfill.resume", done=len(done), archive=raw_rel)
		46	+ else:
		47	+ req = FetchRequest(dataset_id=dataset_id, params={"endpoint": "data_file", "type": asset, "period": "full", "ticker_range": letter,
		48	+ "timeframe": timeframe, "adjustment": adjustment})
		49	+ queue.progress(job["id"], {"stage": "download", "ticker_range": letter})
		50	+ res = conn_fr.fetch_range(req, lake.raw_dir("firstrate", dataset_id))
		51	+ raw_rel = str(res.path.relative_to(lake.root))
		52	+ with transaction() as conn:
		53	+ record_raw_archive(conn, "firstrate", dataset_id, req.params, raw_rel, res.sha256, res.bytes, res.file_count, res.vendor_last_update, run_id)
		54	+ queue.set_checkpoint(f"job:{job['id']}", "state", {"raw_path": raw_rel, "sha256": res.sha256, "bytes": res.bytes,
		55	+ "fetched_at": res.fetched_at.isoformat(), "done_symbols": sorted(done)})
		56	+ log.info("backfill.downloaded", bytes=res.bytes, files=res.file_count)
		57	+
		58	+ with connection() as conn:
		59	+ delta_dates = live_delta_dates(conn, dataset_id)
		60	+ stats = {"symbols": 0, "rows": 0, "files": 0, "skipped_rows_in_delta": 0, "anomalies": 0}
		61	+ for batch in conn_fr.normalize(res, symbols=list(only) if only else None):
		62	+ if batch.symbol in done:
		63	+ continue
		64	+ if max_symbols and stats["symbols"] >= max_symbols:
		65	+ break
		66	+ rep = conn_fr.validate(batch)
		67	+ t = batch.table
		68	+ if delta_dates:
		69	+ mask = pc.invert(pc.is_in(t.column("session_date"), value_set=pa.array(sorted(delta_dates), pa.date32())))
		70	+ kept = t.filter(mask)
		71	+ stats["skipped_rows_in_delta"] += t.num_rows - kept.num_rows
		72	+ t = kept
		73	+ if t.num_rows == 0:
		74	+ done.add(batch.symbol)
		75	+ queue.set_checkpoint(f"job:{job['id']}", "state", {"raw_path": raw_rel, "sha256": res.sha256, "bytes": res.bytes,
		76	+ "fetched_at": res.fetched_at.isoformat(), "done_symbols": sorted(done)})
		77	+ continue
		78	+ years = pc.year(t.column("session_date"))
		79	+ written = []
		80	+ for y in sorted(set(years.to_pylist())):
		81	+ ty = t.filter(pc.equal(years, y))
		82	+ written.append(lake.write_table(dataset_id, ty, "base", {"symbol": batch.symbol, "year": str(y)}))
		83	+ # retire previous base files of this symbol/year (re-backfill replaces)
		84	+ with connection() as conn:
		85	+ old = conn.execute("SELECT path FROM lake_files WHERE dataset_id=%s AND layout='base' AND version_removed IS NULL AND symbol_min=%s AND symbol_max=%s",
		86	+ (dataset_id, batch.symbol, batch.symbol)).fetchall()
		87	+ lake.publish(dataset_id, written, [o["path"] for o in old], run_id, note=f"backfill {asset} {letter} {batch.symbol}")
		88	+ with transaction() as conn:
		89	+ upsert_coverage(conn, dataset_id, t, interval)
		90	+ record_anomalies(conn, dataset_id, rep.anomalies, run_id, limit=500)
		91	+ stats["symbols"] += 1
		92	+ stats["rows"] += t.num_rows
		93	+ stats["files"] += len(written)
		94	+ stats["anomalies"] += len(rep.anomalies)
		95	+ done.add(batch.symbol)
		96	+ queue.set_checkpoint(f"job:{job['id']}", "state", {"raw_path": raw_rel, "sha256": res.sha256, "bytes": res.bytes,
		97	+ "fetched_at": res.fetched_at.isoformat(), "done_symbols": sorted(done)})
		98	+ queue.progress(job["id"], {"stage": "publish", **stats, "last_symbol": batch.symbol})
		99	+ with transaction() as conn:
		100	+ conn.execute("UPDATE raw_archives SET status='published' WHERE sha256=%s", (res.sha256,))
		101	+ record_quality_report(conn, dataset_id, run_id, stats["rows"], [])
		102	+ if not p.get("keep_raw", False) and p.get("delete_raw_after_publish", True):
		103	+ # full archives are re-downloadable; sha256 stays in raw_archives
		104	+ res.path.unlink(missing_ok=True)
		105	+ with transaction() as conn:
		106	+ conn.execute("UPDATE raw_archives SET status='deleted_after_publish', path=NULL WHERE sha256=%s", (res.sha256,))
		107	+ if interval == Interval.m1 and stats["rows"]:
		108	+ queue.enqueue("derive", dataset_id.replace(".1m.", ".5m."), {"source_dataset": dataset_id, "target_interval": "5m",
		109	+ "symbols": sorted(done)}, priority=45, dedupe_key=f"derive:{dataset_id}:5m:backfill:{job['id']}")
		110	+ log.info("backfill.done", **stats)
		111	+ return stats

added services/ingest/src/findata_ingest/tasks/backup.py +95 −0

				@@ -0,0 +1,95 @@
		1	+"""Encrypted-at-rest-by-FileVault-free policy: backups are rsync'ed over SSH (encrypted in transit) to a second
		2	+LAN node, plus a pg_dump of the metadata database. Restore drill: `findata backup restore-drill`."""
		3	+from __future__ import annotations
		4	+
		5	+import os
		6	+import subprocess
		7	+from datetime import UTC, datetime
		8	+from pathlib import Path
		9	+from typing import Any
		10	+
		11	+from findata_core.config import get_settings
		12	+from findata_core.db import transaction
		13	+from findata_ingest.lake import Lake
		14	+
		15	+
		16	+def _env() -> dict[str, str]:
		17	+ env = dict(os.environ)
		18	+ env["PATH"] = "/opt/homebrew/opt/postgresql@17/bin:/opt/homebrew/bin:/usr/bin:/bin:/usr/sbin:/sbin"
		19	+ return env
		20	+
		21	+
		22	+def run(job: dict[str, Any], lake: Lake, log) -> dict[str, Any]:
		23	+ s = get_settings()
		24	+ target = (job.get("params") or {}).get("target") or s.backup_target
		25	+ if not target:
		26	+ raise RuntimeError("FINDATA_BACKUP_TARGET not configured")
		27	+ host, _, remote_dir = target.partition(":")
		28	+ stamp = datetime.now(UTC).strftime("%Y%m%dT%H%M%SZ")
		29	+ dumps = lake.root / "_pgdump"
		30	+ dumps.mkdir(exist_ok=True)
		31	+ dump = dumps / f"findata-{stamp}.sql.zst"
		32	+ url = s.database_url.get_secret_value()
		33	+ cmd = f"pg_dump --no-owner --no-privileges '{url}' | zstd -q -T0 -o '{dump}'"
		34	+ r = subprocess.run(["bash", "-c", cmd], capture_output=True, text=True, env=_env(), timeout=3600)
		35	+ if r.returncode != 0:
		36	+ raise RuntimeError(f"pg_dump failed: {r.stderr[-500:]}")
		37	+ for old in sorted(dumps.glob("findata-*.sql.zst"))[:-14]:
		38	+ old.unlink()
		39	+ subprocess.run(["ssh", "-o", "BatchMode=yes", host, f"mkdir -p {remote_dir}/lake {remote_dir}/pgdump"], check=True, timeout=60, env=_env())
		40	+ excludes = ["--exclude", "_tmp/", "--exclude", "_retired/", "--exclude", "exports/", "--exclude", ".writer.lock"]
		41	+ rs = subprocess.run(["rsync", "-a", "--delete", "--stats", *excludes, f"{lake.root}/", f"{host}:{remote_dir}/lake/"],
		42	+ capture_output=True, text=True, env=_env(), timeout=6 * 3600)
		43	+ if rs.returncode != 0:
		44	+ raise RuntimeError(f"rsync failed: {rs.stderr[-500:]}")
		45	+ rs2 = subprocess.run(["rsync", "-a", f"{dumps}/", f"{host}:{remote_dir}/pgdump/"], capture_output=True, text=True, env=_env(), timeout=3600)
		46	+ if rs2.returncode != 0:
		47	+ raise RuntimeError(f"rsync pgdump failed: {rs2.stderr[-500:]}")
		48	+ # verification: remote file count + bytes of curated/
		49	+ v = subprocess.run(["ssh", "-o", "BatchMode=yes", host, f"find {remote_dir}/lake/curated -type f | wc -l; du -sk {remote_dir}/lake/curated | cut -f1"],
		50	+ capture_output=True, text=True, env=_env(), timeout=600)
		51	+ remote_files, remote_kb = [x.strip() for x in v.stdout.strip().splitlines()[:2]] if v.returncode == 0 else ("?", "?")
		52	+ local_files = sum(1 for p in (lake.root / "curated").rglob("*") if p.is_file())
		53	+ stats = {"at": stamp, "target": target, "pg_dump": dump.name, "pg_dump_bytes": dump.stat().st_size,
		54	+ "rsync_summary": [ln for ln in rs.stdout.splitlines() if "Number of files" in ln or "Total transferred" in ln or "Total file size" in ln],
		55	+ "remote_curated_files": remote_files, "local_curated_files": local_files, "remote_curated_kb": remote_kb,
		56	+ "verified": str(local_files) == str(remote_files)}
		57	+ with transaction() as conn:
		58	+ conn.execute("INSERT INTO settings_kv(key, value) VALUES ('last_backup', %s) ON CONFLICT (key) DO UPDATE SET value=EXCLUDED.value, updated_at=now()",
		59	+ (__import__("json").dumps(stats, default=str),))
		60	+ log.info("backup.done", **{k: v for k, v in stats.items() if k != "rsync_summary"})
		61	+ return stats
		62	+
		63	+
		64	+def restore_drill(target: str, dest: Path, dataset_id: str = "market_bars.stock.1m.raw") -> dict[str, Any]:
		65	+ """Restore the latest pg_dump into a scratch database and the lake into `dest`, then verify manifest hashes."""
		66	+ import hashlib
		67	+ import json
		68	+ s = get_settings()
		69	+ host, _, remote_dir = target.partition(":")
		70	+ dest.mkdir(parents=True, exist_ok=True)
		71	+ subprocess.run(["rsync", "-a", f"{host}:{remote_dir}/lake/curated/{dataset_id}/", f"{dest}/curated/{dataset_id}/"], check=True, env=_env(), timeout=3600)
		72	+ subprocess.run(["rsync", "-a", f"{host}:{remote_dir}/lake/manifests/{dataset_id}/", f"{dest}/manifests/{dataset_id}/"], check=True, env=_env(), timeout=600)
		73	+ latest = subprocess.run(["ssh", "-o", "BatchMode=yes", host, f"ls -1 {remote_dir}/pgdump | sort | tail -1"], capture_output=True, text=True, env=_env(), timeout=60).stdout.strip()
		74	+ subprocess.run(["rsync", "-a", f"{host}:{remote_dir}/pgdump/{latest}", f"{dest}/"], check=True, env=_env(), timeout=600)
		75	+ base_url = s.database_url.get_secret_value().rsplit("/", 1)[0]
		76	+ scratch = f"findata_restore_{datetime.now(UTC).strftime('%H%M%S')}"
		77	+ subprocess.run(["bash", "-c", f"psql '{base_url}/postgres' -qc 'CREATE DATABASE {scratch}' && zstd -dc '{dest}/{latest}' | psql -q '{base_url}/{scratch}' >/dev/null"],
		78	+ check=True, env=_env(), timeout=3600)
		79	+ out = subprocess.run(["bash", "-c", f"psql -tA '{base_url}/{scratch}' -c \"SELECT count(*) FROM lake_files WHERE dataset_id='{dataset_id}' AND version_removed IS NULL\""],
		80	+ capture_output=True, text=True, env=_env(), timeout=120).stdout.strip()
		81	+ manifests = sorted((dest / "manifests" / dataset_id).glob("v*.json"), key=lambda p: int(p.stem[1:]))
		82	+ verified = 0
		83	+ missing = 0
		84	+ if manifests:
		85	+ m = json.loads(manifests[-1].read_text())
		86	+ for f in m["files"]:
		87	+ p = dest / f["path"]
		88	+ if not p.exists():
		89	+ missing += 1
		90	+ continue
		91	+ h = hashlib.sha256(p.read_bytes()).hexdigest()
		92	+ verified += int(h == f["sha256"])
		93	+ subprocess.run(["bash", "-c", f"psql '{base_url}/postgres' -qc 'DROP DATABASE {scratch}'"], env=_env(), timeout=120)
		94	+ return {"pg_dump": latest, "restored_lake_files_in_db": out, "manifest_version": manifests[-1].stem if manifests else None,
		95	+ "files_hash_verified": verified, "files_missing": missing, "dest": str(dest)}

added services/ingest/src/findata_ingest/tasks/common.py +73 −0

				@@ -0,0 +1,73 @@
		1	+from __future__ import annotations
		2	+
		3	+import json
		4	+from datetime import UTC, date, datetime
		5	+from typing import Any
		6	+
		7	+import pyarrow as pa
		8	+
		9	+from findata_core.db import transaction
		10	+from findata_ingest.lake import Lake, WrittenFile
		11	+from findata_quality.validators import session_coverage
		12	+from findata_schema import Interval
		13	+
		14	+DATASET_ASSET = {"stock": "market_bars.stock.1m.raw", "etf": "market_bars.etf.1m.raw", "index": "market_bars.index.1m.raw",
		15	+ "fx": "market_bars.fx.1m.raw", "crypto": "market_bars.crypto.1m.raw", "futures": "market_bars.futures.1m.continuous"}
		16	+
		17	+
		18	+def record_raw_archive(conn, source_id: str, dataset_id: str, request: dict[str, Any], rel_path: str, sha256: str,
		19	+ nbytes: int, file_count: int | None, vendor_last_update: date | None, run_id: str | None) -> tuple[str, bool]:
		20	+ """Insert raw archive row; returns (id, is_new). Same sha256 → already known (idempotent re-fetch)."""
		21	+ r = conn.execute("SELECT id, status FROM raw_archives WHERE source_id=%s AND sha256=%s", (source_id, sha256)).fetchone()
		22	+ if r:
		23	+ return str(r["id"]), False
		24	+ r = conn.execute(
		25	+ "INSERT INTO raw_archives(source_id, dataset_id, request, path, sha256, bytes, file_count, vendor_last_update, ingest_run_id, status) "
		26	+ "VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,'stored') RETURNING id",
		27	+ (source_id, dataset_id, json.dumps(request, default=str), rel_path, sha256, nbytes, file_count, vendor_last_update, run_id)).fetchone()
		28	+ return str(r["id"]), True
		29	+
		30	+
		31	+def upsert_coverage(conn, dataset_id: str, table: pa.Table, interval: Interval) -> int:
		32	+ rows = session_coverage(table, interval)
		33	+ for r in rows:
		34	+ conn.execute(
		35	+ "INSERT INTO coverage(dataset_id, symbol, session_date, bar_count, first_ts, last_ts, expected_bars, flags) "
		36	+ "VALUES (%s,%s,%s,%s,%s,%s,%s,%s) ON CONFLICT (dataset_id, symbol, session_date) DO UPDATE SET bar_count=EXCLUDED.bar_count, "
		37	+ "first_ts=EXCLUDED.first_ts, last_ts=EXCLUDED.last_ts, expected_bars=EXCLUDED.expected_bars, flags=EXCLUDED.flags, updated_at=now()",
		38	+ (dataset_id, r["symbol"], r["session_date"], r["bar_count"], r["first_ts"], r["last_ts"], r["expected_bars"], r["flags"]))
		39	+ return len(rows)
		40	+
		41	+
		42	+def record_anomalies(conn, dataset_id: str, anomalies: list[dict[str, Any]], run_id: str | None, limit: int = 5000) -> int:
		43	+ n = 0
		44	+ for a in anomalies[:limit]:
		45	+ conn.execute("INSERT INTO quality_anomalies(dataset_id, symbol, session_date, code, severity, detail, ingest_run_id) VALUES (%s,%s,%s,%s,%s,%s,%s)",
		46	+ (dataset_id, a.get("symbol"), a.get("session_date"), a["code"], a["severity"], json.dumps(a.get("detail", {}), default=str), run_id))
		47	+ n += 1
		48	+ return n
		49	+
		50	+
		51	+def record_quality_report(conn, dataset_id: str, run_id: str | None, rows: int, anomalies: list[dict[str, Any]]) -> None:
		52	+ summary: dict[str, int] = {}
		53	+ for a in anomalies:
		54	+ summary[a["code"]] = summary.get(a["code"], 0) + int(a.get("detail", {}).get("rows", 1))
		55	+ conn.execute("INSERT INTO quality_reports(dataset_id, ingest_run_id, rows_checked, anomalies, summary) VALUES (%s,%s,%s,%s,%s)",
		56	+ (dataset_id, run_id, rows, len(anomalies), json.dumps(summary)))
		57	+
		58	+
		59	+def live_delta_paths_for_dates(conn, dataset_id: str, dates: list[date]) -> list[str]:
		60	+ if not dates:
		61	+ return []
		62	+ rows = conn.execute("SELECT path FROM lake_files WHERE dataset_id=%s AND layout='delta' AND version_removed IS NULL AND date_min = ANY(%s)",
		63	+ (dataset_id, dates)).fetchall()
		64	+ return [r["path"] for r in rows]
		65	+
		66	+
		67	+def live_delta_dates(conn, dataset_id: str) -> set[date]:
		68	+ rows = conn.execute("SELECT DISTINCT date_min FROM lake_files WHERE dataset_id=%s AND layout='delta' AND version_removed IS NULL", (dataset_id,)).fetchall()
		69	+ return {r["date_min"] for r in rows}
		70	+
		71	+
		72	+def now() -> datetime:
		73	+ return datetime.now(UTC)

added services/ingest/src/findata_ingest/tasks/compaction.py +57 −0

				@@ -0,0 +1,57 @@
		1	+"""Compaction: merge session_date delta files older than `min_age_days` into base files per (symbol, year).
		2	+Asserts the (instrument_id, timestamp_utc) uniqueness invariant before publishing."""
		3	+from __future__ import annotations
		4	+
		5	+from datetime import UTC, datetime, timedelta
		6	+from typing import Any
		7	+
		8	+import duckdb
		9	+import pyarrow as pa
		10	+
		11	+from findata_core.db import connection
		12	+from findata_ingest.lake import Lake
		13	+from findata_schema import BARS_SCHEMA
		14	+
		15	+
		16	+def run(job: dict[str, Any], lake: Lake, log) -> dict[str, Any]:
		17	+ p = job.get("params") or {}
		18	+ dataset_id = job["dataset_id"]
		19	+ min_age = int(p.get("min_age_days", 35))
		20	+ max_files = int(p.get("max_delta_files", 40))
		21	+ cutoff = (datetime.now(UTC) - timedelta(days=min_age)).date()
		22	+ with connection() as conn:
		23	+ deltas = conn.execute("SELECT path, date_min FROM lake_files WHERE dataset_id=%s AND layout='delta' AND version_removed IS NULL AND date_max <= %s ORDER BY date_min LIMIT %s",
		24	+ (dataset_id, cutoff, max_files)).fetchall()
		25	+ if not deltas:
		26	+ return {"compacted_files": 0}
		27	+ paths = [str(lake.abs(d["path"])) for d in deltas]
		28	+ con = duckdb.connect()
		29	+ con.execute("SET threads TO 8")
		30	+ syms = [r[0] for r in con.sql("SELECT DISTINCT symbol_as_reported FROM read_parquet($p, hive_partitioning=false) ORDER BY 1", params={"p": paths}).fetchall()]
		31	+ years = sorted({d["date_min"].year for d in deltas})
		32	+ written, retire = [], [d["path"] for d in deltas]
		33	+ rows = 0
		34	+ for s in syms:
		35	+ for y in years:
		36	+ new = con.sql("SELECT * FROM read_parquet($p, hive_partitioning=false) WHERE symbol_as_reported=$s AND year(session_date)=$y", params={"p": paths, "s": s, "y": y}).to_arrow_table()
		37	+ if new.num_rows == 0:
		38	+ continue
		39	+ with connection() as conn:
		40	+ old = conn.execute("SELECT path FROM lake_files WHERE dataset_id=%s AND layout='base' AND version_removed IS NULL AND symbol_min=%s AND symbol_max=%s AND date_min>=%s AND date_max<=%s",
		41	+ (dataset_id, s, s, f"{y}-01-01", f"{y}-12-31")).fetchall()
		42	+ parts = [new.cast(BARS_SCHEMA)]
		43	+ for o in old:
		44	+ t = con.sql("SELECT * FROM read_parquet($p, hive_partitioning=false)", params={"p": [str(lake.abs(o["path"]))]}).to_arrow_table()
		45	+ parts.append(t.cast(BARS_SCHEMA))
		46	+ retire.append(o["path"])
		47	+ merged = pa.concat_tables(parts)
		48	+ con.register("m", merged)
		49	+ dup = con.sql("SELECT count(*) AS n FROM (SELECT instrument_id, timestamp_utc FROM m GROUP BY 1,2 HAVING count(*)>1)").fetchall()[0][0]
		50	+ con.unregister("m")
		51	+ if dup:
		52	+ raise RuntimeError(f"compaction invariant violated: {dup} duplicate (instrument_id, timestamp_utc) for {s} {y}")
		53	+ written.append(lake.write_table(dataset_id, merged, "base", {"symbol": s, "year": str(y)}))
		54	+ rows += merged.num_rows
		55	+ pub = lake.publish(dataset_id, written, sorted(set(retire)), job.get("run_id"), note=f"compaction {len(deltas)} delta files")
		56	+ log.info("compaction.done", deltas=len(deltas), base_files=len(written), rows=rows, **pub)
		57	+ return {"compacted_files": len(deltas), "base_files_written": len(written), "rows": rows, **pub}

added services/ingest/src/findata_ingest/tasks/derive.py +56 −0

				@@ -0,0 +1,56 @@
		1	+"""Derive 5-minute (or other) bars from validated 1-minute bars, per session_date (delta layout, supersede)."""
		2	+from __future__ import annotations
		3	+
		4	+from datetime import date
		5	+from typing import Any
		6	+
		7	+import pyarrow as pa
		8	+
		9	+from findata_core.db import connection, transaction
		10	+from findata_ingest.lake import Lake, live_files
		11	+from findata_ingest.reader import read_bars
		12	+from findata_ingest.tasks.common import live_delta_paths_for_dates, upsert_coverage
		13	+from findata_quality import aggregate_bars
		14	+from findata_schema import Interval
		15	+
		16	+
		17	+def run(job: dict[str, Any], lake: Lake, log) -> dict[str, Any]:
		18	+ p = job.get("params") or {}
		19	+ src = p["source_dataset"]
		20	+ dst = job.get("dataset_id") or src.replace(".1m.", ".5m.")
		21	+ target = Interval(p.get("target_interval", "5m"))
		22	+ dates = [date.fromisoformat(d) for d in p.get("dates", [])]
		23	+ symbols = p.get("symbols")
		24	+ run_id = job.get("run_id")
		25	+ with connection() as conn:
		26	+ if not dates:
		27	+ # all live source dates for requested symbols
		28	+ fl = live_files(conn, src, symbols)
		29	+ ds = set()
		30	+ for f in fl:
		31	+ d = f["date_min"]
		32	+ while d <= f["date_max"]:
		33	+ ds.add(d)
		34	+ d = d.fromordinal(d.toordinal() + 1)
		35	+ dates = sorted(ds)
		36	+ all_syms = symbols or [r["symbol"] for r in conn.execute("SELECT DISTINCT symbol FROM coverage WHERE dataset_id=%s AND session_date = ANY(%s)", (src, dates)).fetchall()]
		37	+ written, rows = [], 0
		38	+ tables = {}
		39	+ for d in dates:
		40	+ t, _ = read_bars(src, all_syms, d, d, lake=lake)
		41	+ if t.num_rows == 0:
		42	+ continue
		43	+ agg = aggregate_bars(t, target, Interval.m1)
		44	+ tables[d] = agg
		45	+ rows += agg.num_rows
		46	+ written.append(lake.write_table(dst, agg, "delta", {"session_date": d.isoformat()}))
		47	+ if not written:
		48	+ return {"rows": 0, "dates": len(dates)}
		49	+ with connection() as conn:
		50	+ retire = live_delta_paths_for_dates(conn, dst, list(tables)) if not symbols else []
		51	+ pub = lake.publish(dst, written, retire, run_id, note=f"derive {target.value} from {src}")
		52	+ with transaction() as conn:
		53	+ for t in tables.values():
		54	+ upsert_coverage(conn, dst, t, target)
		55	+ log.info("derive.done", rows=rows, files=len(written), **pub)
		56	+ return {"rows": rows, "files": len(written), "dates": len(tables), **pub}

added services/ingest/src/findata_ingest/tasks/fundamentals.py +78 −0

				@@ -0,0 +1,78 @@
		1	+"""Fundamentals ingestion (FirstRate /api-f) with revision tracking. Params: tickers[] or universe (active stocks,
		2	+limit n). Each run: fetch quarterly + annual financials and earnings; compare with latest stored revision per
		3	+(entity, metric, period_end, period_type); unchanged → nothing; changed → new revision, restatement_flag, supersede."""
		4	+from __future__ import annotations
		5	+
		6	+from datetime import UTC, datetime
		7	+from typing import Any
		8	+
		9	+from findata_core.db import connection, transaction
		10	+from findata_fundamentals import FirstRateFundamentalsConnector, facts_from_financials
		11	+from findata_ingest import queue
		12	+from findata_ingest.lake import Lake
		13	+
		14	+
		15	+def run(job: dict[str, Any], lake: Lake, log) -> dict[str, Any]:
		16	+ p = job.get("params") or {}
		17	+ tickers = [t.upper() for t in (p.get("tickers") or [])]
		18	+ if not tickers:
		19	+ n = int(p.get("limit", 50))
		20	+ with connection() as conn:
		21	+ tickers = [r["symbol"] for r in conn.execute("SELECT symbol FROM instruments WHERE asset_class='stock' AND status='active' ORDER BY symbol LIMIT %s", (n,)).fetchall()]
		22	+ fr = FirstRateFundamentalsConnector()
		23	+ observed = datetime.now(UTC)
		24	+ run_id = job.get("run_id")
		25	+ stats = {"tickers": 0, "facts_new": 0, "facts_unchanged": 0, "facts_restated": 0, "earnings": 0, "errors": 0, "pit_fallback": 0}
		26	+ ck = queue.get_checkpoint(f"job:{job['id']}", "state") or {}
		27	+ done = set(ck.get("done") or [])
		28	+ for tk in tickers:
		29	+ if tk in done:
		30	+ continue
		31	+ try:
		32	+ facts = []
		33	+ for period in ("quarterly", "annual"):
		34	+ payload = fr.financials_all(tk, period)
		35	+ facts.extend(facts_from_financials(payload, observed, tk))
		36	+ earnings = fr.earnings(tk)
		37	+ except Exception as e: # noqa: BLE001
		38	+ stats["errors"] += 1
		39	+ log.warning("fundamentals.error", ticker=tk, error=str(e)[:200])
		40	+ continue
		41	+ with transaction() as conn:
		42	+ conn.execute("INSERT INTO entities(entity_id, name, tickers) VALUES (%s, (SELECT name FROM instruments WHERE symbol=%s AND asset_class='stock' LIMIT 1), %s) "
		43	+ "ON CONFLICT (entity_id) DO UPDATE SET tickers=EXCLUDED.tickers, updated_at=now()", (f"frd:{tk}", tk, [tk]))
		44	+ for f in facts:
		45	+ if f.pop("pit_fallback", False):
		46	+ stats["pit_fallback"] += 1
		47	+ cur = conn.execute("SELECT id, value, revision_id FROM fundamentals_facts WHERE entity_id=%s AND metric=%s AND fiscal_period_end=%s AND fiscal_period_type=%s AND source_id=%s AND superseded_at IS NULL",
		48	+ (f["entity_id"], f["metric"], f["fiscal_period_end"], f["fiscal_period_type"], f["source_id"])).fetchone()
		49	+ if cur is not None:
		50	+ same = (cur["value"] is None and f["value"] is None) or (cur["value"] is not None and f["value"] is not None and abs(float(cur["value"]) - f["value"]) <= 1e-9 * max(1.0, abs(f["value"])))
		51	+ if same:
		52	+ stats["facts_unchanged"] += 1
		53	+ continue
		54	+ conn.execute("UPDATE fundamentals_facts SET superseded_at=%s WHERE id=%s", (observed, cur["id"]))
		55	+ rev = int(cur["revision_id"]) + 1
		56	+ restated = True
		57	+ stats["facts_restated"] += 1
		58	+ else:
		59	+ rev, restated = 1, False
		60	+ stats["facts_new"] += 1
		61	+ conn.execute(
		62	+ "INSERT INTO fundamentals_facts(entity_id, security_id, metric, value, unit, currency, fiscal_period_start, fiscal_period_end, fiscal_period_type, fiscal_year, fiscal_period, "
		63	+ "filing_date, published_at, available_at, observed_at, source_document, source_id, revision_id, restatement_flag, ingest_run_id) "
		64	+ "VALUES (%(entity_id)s,%(security_id)s,%(metric)s,%(value)s,%(unit)s,%(currency)s,%(fiscal_period_start)s,%(fiscal_period_end)s,%(fiscal_period_type)s,%(fiscal_year)s,%(fiscal_period)s,"
		65	+ "%(filing_date)s,%(published_at)s,%(available_at)s,%(observed_at)s,%(source_document)s,%(source_id)s,%(rev)s,%(restated)s,%(run_id)s)",
		66	+ {**f, "rev": rev, "restated": restated, "run_id": run_id})
		67	+ for e in earnings:
		68	+ conn.execute("INSERT INTO earnings_events(entity_id, event_date, eps_estimate, eps_reported, release_time, source_id) VALUES (%s,%s,%s,%s,%s,'firstrate_fundamentals') "
		69	+ "ON CONFLICT (entity_id, event_date, source_id) DO UPDATE SET eps_estimate=EXCLUDED.eps_estimate, eps_reported=EXCLUDED.eps_reported, release_time=EXCLUDED.release_time, observed_at=now()",
		70	+ (f"frd:{tk}", e["date"], e.get("eps_estimate"), e.get("eps_reported"), e.get("release_time")))
		71	+ stats["earnings"] += len(earnings)
		72	+ stats["tickers"] += 1
		73	+ done.add(tk)
		74	+ queue.set_checkpoint(f"job:{job['id']}", "state", {"done": sorted(done)})
		75	+ queue.progress(job["id"], {**stats, "last": tk})
		76	+ fr.close()
		77	+ log.info("fundamentals.done", **stats)
		78	+ return stats

added services/ingest/src/findata_ingest/tasks/incremental.py +106 −0

				@@ -0,0 +1,106 @@
		1	+"""Incremental sync of an update archive (period=day|week|month) into session_date delta files.
		2	+
		3	+Idempotent: the same archive (sha256) is never published twice; a session_date already live is *superseded*
		4	+(old file retired, new file added, dataset version +1) so re-fetching cannot create duplicates.
		5	+Checkpoints: dataset:<id> / last_archive, last_vendor_update.
		6	+"""
		7	+from __future__ import annotations
		8	+
		9	+from collections import defaultdict
		10	+from datetime import UTC, datetime
		11	+from typing import Any
		12	+
		13	+import pyarrow as pa
		14	+
		15	+from findata_core.db import connection, transaction
		16	+from findata_ingest import queue
		17	+from findata_ingest.lake import Lake
		18	+from findata_ingest.tasks.common import (DATASET_ASSET, live_delta_paths_for_dates, record_anomalies, record_quality_report,
		19	+ record_raw_archive, upsert_coverage)
		20	+from findata_market_firstrate import FirstRateMarketConnector
		21	+from findata_schema import Interval
		22	+from findata_schema.connector import FetchRequest
		23	+
		24	+
		25	+def run(job: dict[str, Any], lake: Lake, log) -> dict[str, Any]:
		26	+ p = job.get("params") or {}
		27	+ asset = p.get("type", "stock")
		28	+ period = p.get("period", "day")
		29	+ timeframe = p.get("timeframe", "1min")
		30	+ adjustment = p.get("adjustment", "UNADJUSTED")
		31	+ dataset_id = job.get("dataset_id") or DATASET_ASSET[asset]
		32	+ run_id = job.get("run_id")
		33	+ conn_fr = FirstRateMarketConnector()
		34	+ vendor_last = conn_fr.client.last_update(asset)
		35	+ ck = queue.get_checkpoint(f"dataset:{dataset_id}", f"last_vendor_update:{period}") or {}
		36	+ if ck.get("vendor_last_update") == vendor_last.isoformat() and not p.get("force"):
		37	+ log.info("incremental.skip", reason="vendor not updated since last run", vendor_last_update=str(vendor_last))
		38	+ return {"skipped": True, "vendor_last_update": vendor_last.isoformat()}
		39	+
		40	+ req = FetchRequest(dataset_id=dataset_id, params={"endpoint": "data_file", "type": asset, "period": period,
		41	+ "timeframe": timeframe, "adjustment": adjustment})
		42	+ queue.progress(job["id"], {"stage": "download"})
		43	+ res = conn_fr.fetch_range(req, lake.raw_dir("firstrate", dataset_id))
		44	+ rel_raw = str(res.path.relative_to(lake.root))
		45	+ with transaction() as conn:
		46	+ raw_id, is_new = record_raw_archive(conn, "firstrate", dataset_id, req.params, rel_raw, res.sha256, res.bytes, res.file_count, res.vendor_last_update, run_id)
		47	+ if not is_new:
		48	+ res.path.unlink(missing_ok=True) # identical bytes already stored immutably
		49	+ queue.set_checkpoint(f"dataset:{dataset_id}", f"last_vendor_update:{period}", {"vendor_last_update": vendor_last.isoformat(), "sha256": res.sha256})
		50	+ log.info("incremental.duplicate_archive", sha256=res.sha256[:12])
		51	+ return {"skipped": True, "reason": "archive already ingested", "sha256": res.sha256}
		52	+ log.info("incremental.downloaded", bytes=res.bytes, files=res.file_count, vendor_last_update=str(vendor_last))
		53	+
		54	+ # normalize → group rows by session_date (across all symbols)
		55	+ queue.progress(job["id"], {"stage": "normalize", "bytes": res.bytes})
		56	+ by_date: dict[Any, list[pa.Table]] = defaultdict(list)
		57	+ anomalies: list[dict[str, Any]] = []
		58	+ symbols = 0
		59	+ raw_rows = 0
		60	+ dropped = 0
		61	+ for batch in conn_fr.normalize(res):
		62	+ rep = conn_fr.validate(batch)
		63	+ anomalies.extend(rep.anomalies)
		64	+ symbols += 1
		65	+ raw_rows += batch.raw_rows
		66	+ dropped += batch.raw_rows - batch.row_count
		67	+ t = batch.table
		68	+ for d in set(t.column("session_date").to_pylist()):
		69	+ import pyarrow.compute as pc
		70	+ by_date[d].append(t.filter(pc.equal(t.column("session_date"), pa.scalar(d, pa.date32()))))
		71	+ if symbols % 1000 == 0:
		72	+ queue.progress(job["id"], {"stage": "normalize", "symbols": symbols})
		73	+ if not by_date:
		74	+ raise RuntimeError("archive produced no rows")
		75	+
		76	+ # write one delta file per session_date, then publish atomically (supersede existing dates)
		77	+ queue.progress(job["id"], {"stage": "write", "sessions": len(by_date)})
		78	+ interval = Interval({"1min": "1m", "5min": "5m", "30min": "30m", "1hour": "1h", "1day": "1d"}[timeframe])
		79	+ written = []
		80	+ tables = {}
		81	+ for d in sorted(by_date):
		82	+ t = pa.concat_tables(by_date[d])
		83	+ tables[d] = t
		84	+ written.append(lake.write_table(dataset_id, t, "delta", {"session_date": d.isoformat()}))
		85	+ with connection() as conn:
		86	+ retire = live_delta_paths_for_dates(conn, dataset_id, list(tables))
		87	+ pub = lake.publish(dataset_id, written, retire, run_id, note=f"incremental {asset} {period} {timeframe} {adjustment}")
		88	+ with transaction() as conn:
		89	+ conn.execute("UPDATE raw_archives SET status='published' WHERE id=%s", (raw_id,))
		90	+ cov = sum(upsert_coverage(conn, dataset_id, t, interval) for t in tables.values())
		91	+ record_anomalies(conn, dataset_id, anomalies, run_id)
		92	+ record_quality_report(conn, dataset_id, run_id, sum(t.num_rows for t in tables.values()), anomalies)
		93	+ queue.set_checkpoint(f"dataset:{dataset_id}", f"last_vendor_update:{period}", {"vendor_last_update": vendor_last.isoformat(), "sha256": res.sha256})
		94	+ cp = conn_fr.checkpoint(res, len(written))
		95	+ queue.set_checkpoint(cp.scope, cp.key, cp.value)
		96	+ dates = [d.isoformat() for d in sorted(tables)]
		97	+ # downstream: derived 5-minute bars for these sessions
		98	+ if interval == Interval.m1 and asset in ("stock", "etf"):
		99	+ queue.enqueue("derive", dataset_id.replace(".1m.", ".5m."), {"source_dataset": dataset_id, "target_interval": "5m", "dates": dates},
		100	+ priority=40, dedupe_key=f"derive:{dataset_id}:5m:{dates[0]}:{dates[-1]}:{pub['version']}")
		101	+ result = {"vendor_last_update": vendor_last.isoformat(), "archive_sha256": res.sha256, "archive_bytes": res.bytes,
		102	+ "symbols": symbols, "raw_rows": raw_rows, "rows_dropped_unparseable": dropped,
		103	+ "rows_published": sum(t.num_rows for t in tables.values()), "sessions": dates, "files_added": len(written),
		104	+ "files_retired": len(retire), "coverage_rows": cov, "anomalies": len(anomalies), **pub}
		105	+ log.info("incremental.done", **{k: v for k, v in result.items() if k != "sessions"})
		106	+ return result

added services/ingest/src/findata_ingest/tasks/metadata.py +52 −0

				@@ -0,0 +1,52 @@
		1	+"""Reference data: ticker listings, delisted log, splits and dividends → instruments / corporate_actions."""
		2	+from __future__ import annotations
		3	+
		4	+from typing import Any
		5	+
		6	+from findata_core.db import transaction
		7	+from findata_ingest.lake import Lake
		8	+from findata_ingest.tasks.common import record_raw_archive
		9	+from findata_market_firstrate import FirstRateMarketConnector
		10	+
		11	+
		12	+def run(job: dict[str, Any], lake: Lake, log) -> dict[str, Any]:
		13	+ params = job.get("params") or {}
		14	+ types = params.get("types") or ["stock", "etf"]
		15	+ conn_fr = FirstRateMarketConnector()
		16	+ stats: dict[str, Any] = {}
		17	+ for t in types:
		18	+ rows = conn_fr.ticker_listing(t)
		19	+ with transaction() as conn:
		20	+ for r in rows:
		21	+ iid = f"firstrate:{t}:{r['symbol']}"
		22	+ conn.execute(
		23	+ "INSERT INTO instruments(instrument_id, symbol, name, asset_class, venue, currency, first_date, last_date, status, source_id) "
		24	+ "VALUES (%s,%s,%s,%s,NULL,'USD',%s,%s,%s,'firstrate') ON CONFLICT (instrument_id) DO UPDATE SET name=EXCLUDED.name, "
		25	+ "first_date=EXCLUDED.first_date, last_date=EXCLUDED.last_date, status=EXCLUDED.status, updated_at=now()",
		26	+ (iid, r["symbol"], r["name"], t, r["first_date"], r["last_date"], r["status"]))
		27	+ if r["symbol"].endswith("-DELISTED"):
		28	+ base = r["symbol"][: -len("-DELISTED")]
		29	+ conn.execute("INSERT INTO instrument_aliases(instrument_id, symbol, valid_from, valid_to, source_id, note) VALUES (%s,%s,%s,%s,'firstrate','vendor -DELISTED suffix') "
		30	+ "ON CONFLICT DO NOTHING", (iid, base, r["first_date"], r["last_date"]))
		31	+ stats[f"instruments_{t}"] = len(rows)
		32	+ log.info("metadata.listing", type=t, rows=len(rows))
		33	+ if "stock" in types:
		34	+ dl = conn_fr.delisted_log()
		35	+ with transaction() as conn:
		36	+ for r in dl:
		37	+ conn.execute("UPDATE instruments SET status='delisted', last_date=COALESCE(%s, last_date), updated_at=now() WHERE instrument_id=%s",
		38	+ (r["last_date"], f"firstrate:stock:{r['symbol']}"))
		39	+ stats["delisted_log"] = len(dl)
		40	+ for kind in ("splits", "dividends"):
		41	+ res, rows = conn_fr.meta_actions("stock", kind, lake.raw_dir("firstrate", "corporate_actions.stock"))
		42	+ with transaction() as conn:
		43	+ record_raw_archive(conn, "firstrate", "corporate_actions.stock", {"endpoint": "meta_file", "type": "stock", "metafile_type": kind},
		44	+ str(res.path.relative_to(lake.root)), res.sha256, res.bytes, res.file_count, res.vendor_last_update, job.get("run_id"))
		45	+ n = 0
		46	+ for r in rows:
		47	+ conn.execute("INSERT INTO corporate_actions(instrument_id, action_type, ex_date, value, source_id, ingest_run_id) VALUES (%s,%s,%s,%s,'firstrate',%s) ON CONFLICT DO NOTHING",
		48	+ (f"firstrate:stock:{r['symbol']}", r["action_type"], r["ex_date"], r["value"], job.get("run_id")))
		49	+ n += 1
		50	+ stats[kind] = n
		51	+ log.info("metadata.actions", kind=kind, rows=n)
		52	+ return stats

added services/ingest/src/findata_ingest/tasks/quality.py +39 −0

				@@ -0,0 +1,39 @@
		1	+"""Periodic quality/coverage report and garbage collection."""
		2	+from __future__ import annotations
		3	+
		4	+import json
		5	+from datetime import UTC, datetime, timedelta
		6	+from typing import Any
		7	+
		8	+from findata_core.db import connection, transaction
		9	+from findata_ingest.lake import Lake
		10	+
		11	+
		12	+def run(job: dict[str, Any], lake: Lake, log) -> dict[str, Any]:
		13	+ dataset_id = job.get("dataset_id") or "market_bars.stock.1m.raw"
		14	+ with connection() as conn:
		15	+ tot = conn.execute("SELECT count(*) n, sum(bar_count) bars, count(DISTINCT symbol) syms, min(session_date) d0, max(session_date) d1 FROM coverage WHERE dataset_id=%s", (dataset_id,)).fetchone()
		16	+ comp = conn.execute("SELECT avg(LEAST(1.0, bar_count::float/NULLIF(expected_bars,0))) AS c FROM coverage WHERE dataset_id=%s AND expected_bars>0", (dataset_id,)).fetchone()
		17	+ anomalies = conn.execute("SELECT code, severity, count(*) n FROM quality_anomalies WHERE dataset_id=%s AND created_at > now() - interval '30 days' GROUP BY 1,2 ORDER BY n DESC", (dataset_id,)).fetchall()
		18	+ summary = {"dataset_id": dataset_id, "symbol_sessions": tot["n"], "bars": int(tot["bars"] or 0), "symbols": tot["syms"],
		19	+ "first_session": str(tot["d0"]), "last_session": str(tot["d1"]), "mean_regular_hours_completeness": float(comp["c"] or 0) if comp and comp["c"] is not None else None,
		20	+ "anomalies_30d": [dict(a) for a in anomalies]}
		21	+ with transaction() as conn:
		22	+ conn.execute("INSERT INTO quality_reports(dataset_id, ingest_run_id, rows_checked, anomalies, summary) VALUES (%s,%s,%s,%s,%s)",
		23	+ (dataset_id, job.get("run_id"), summary["bars"], sum(a["n"] for a in anomalies), json.dumps(summary, default=str)))
		24	+ return summary
		25	+
		26	+
		27	+def gc(job: dict[str, Any], lake: Lake, log) -> dict[str, Any]:
		28	+ n = lake.gc_retired(7)
		29	+ removed = 0
		30	+ with transaction() as conn:
		31	+ rows = conn.execute("UPDATE exports SET status='expired' WHERE status='ready' AND expires_at < now() RETURNING path").fetchall()
		32	+ for r in rows:
		33	+ if r["path"]:
		34	+ p = lake.abs(r["path"])
		35	+ if p.exists():
		36	+ p.unlink()
		37	+ removed += 1
		38	+ conn.execute("DELETE FROM sessions WHERE expires_at < now() - interval '7 days'")
		39	+ return {"retired_files_deleted": n, "exports_expired": len(rows), "export_files_removed": removed}

added services/ingest/src/findata_ingest/worker.py +89 −0

				@@ -0,0 +1,89 @@
		1	+"""Single ingest worker: claims jobs from Postgres, holds the lake writer lock, runs the task registry.
		2	+Also hosts the scheduler loop (idempotent enqueue with dedupe keys) so there is exactly one writer process."""
		3	+from __future__ import annotations
		4	+
		5	+import signal
		6	+import time
		7	+import traceback
		8	+from datetime import UTC, datetime
		9	+from zoneinfo import ZoneInfo
		10	+
		11	+from findata_core.config import get_settings
		12	+from findata_core.logging import configure_logging, get_logger
		13	+from findata_ingest import queue
		14	+from findata_ingest.lake import Lake, WriterLock
		15	+from findata_ingest.tasks import REGISTRY
		16	+
		17	+ET = ZoneInfo("America/New_York")
		18	+_stop = False
		19	+
		20	+
		21	+def _handle(sig, frame): # noqa: ANN001
		22	+ global _stop
		23	+ _stop = True
		24	+
		25	+
		26	+def schedule_tick(log) -> None:
		27	+ """Enqueue recurring jobs (dedupe keys make this idempotent). Times in America/New_York."""
		28	+ now = datetime.now(ET)
		29	+ day = now.date().isoformat()
		30	+ # vendor daily update lands ~23:30–03:00 ET → poll from 02:00 every 30 min (incremental skips when vendor unchanged)
		31	+ if now.weekday() < 6 and (now.hour >= 2 or now.hour < 1):
		32	+ queue.enqueue("incremental", "market_bars.stock.1m.raw", {"type": "stock", "period": "day"}, priority=20,
		33	+ dedupe_key=f"incremental:stock:day:{day}:{now.hour}:{now.minute // 30}")
		34	+ if now.weekday() == 5 and now.hour == 6: # Saturday 06:00 ET — week archive repairs any missed day
		35	+ queue.enqueue("incremental", "market_bars.stock.1m.raw", {"type": "stock", "period": "week", "force": True}, priority=25,
		36	+ dedupe_key=f"incremental:stock:week:{day}")
		37	+ if now.weekday() == 6 and now.hour == 7:
		38	+ queue.enqueue("metadata", None, {"types": ["stock", "etf"]}, priority=30, dedupe_key=f"metadata:{day}")
		39	+ queue.enqueue("compaction", "market_bars.stock.1m.raw", {}, priority=60, dedupe_key=f"compaction:1m:{day}")
		40	+ queue.enqueue("compaction", "market_bars.stock.5m.raw", {}, priority=61, dedupe_key=f"compaction:5m:{day}")
		41	+ if now.hour == 5 and now.minute < 30:
		42	+ queue.enqueue("fundamentals", "fundamentals.financials", {"tracked": True}, priority=50, dedupe_key=f"fundamentals:{day}")
		43	+ if now.hour == 4 and now.minute < 30 and get_settings().backup_target:
		44	+ queue.enqueue("backup", None, {}, priority=70, dedupe_key=f"backup:{day}")
		45	+ if now.hour == 6 and now.minute < 30:
		46	+ queue.enqueue("quality", "market_bars.stock.1m.raw", {}, priority=80, dedupe_key=f"quality:{day}")
		47	+ queue.enqueue("gc", None, {}, priority=90, dedupe_key=f"gc:{day}")
		48	+
		49	+
		50	+def main(once: bool = False, kinds: list[str] | None = None, with_scheduler: bool = True) -> None:
		51	+ configure_logging()
		52	+ log = get_logger("worker")
		53	+ signal.signal(signal.SIGTERM, _handle)
		54	+ signal.signal(signal.SIGINT, _handle)
		55	+ lake = Lake()
		56	+ requeued = queue.requeue_stale()
		57	+ if requeued:
		58	+ log.warning("worker.requeued_stale", n=requeued)
		59	+ last_tick = 0.0
		60	+ with WriterLock(lake.root):
		61	+ log.info("worker.start", lake=str(lake.root), free_gb=round(lake.free_gb(), 1))
		62	+ while not _stop:
		63	+ if with_scheduler and time.monotonic() - last_tick > 300:
		64	+ try:
		65	+ schedule_tick(log)
		66	+ except Exception as e: # noqa: BLE001
		67	+ log.error("scheduler.error", error=str(e))
		68	+ last_tick = time.monotonic()
		69	+ job = queue.claim_next(kinds)
		70	+ if job is None:
		71	+ if once:
		72	+ break
		73	+ time.sleep(5)
		74	+ continue
		75	+ jl = log.bind(job_id=str(job["id"]), kind=job["kind"], dataset=job.get("dataset_id"), attempt=job["attempts"])
		76	+ jl.info("job.start")
		77	+ t0 = time.monotonic()
		78	+ try:
		79	+ fn = REGISTRY[job["kind"]]
		80	+ result = fn(job, lake, jl)
		81	+ queue.finish(job, True, {**(result or {}), "seconds": round(time.monotonic() - t0, 1)})
		82	+ jl.info("job.done", seconds=round(time.monotonic() - t0, 1))
		83	+ except Exception as e: # noqa: BLE001
		84	+ err = f"{type(e).__name__}: {e}\n{traceback.format_exc()[-1500:]}"
		85	+ queue.finish(job, False, error=err)
		86	+ jl.error("job.failed", error=str(e)[:300], seconds=round(time.monotonic() - t0, 1))
		87	+ if once:
		88	+ break
		89	+ log.info("worker.stop")

added services/quality/pyproject.toml +12 −0

				@@ -0,0 +1,12 @@
		1	+[project]
		2	+name = "findata-quality"
		3	+version = "0.1.0"
		4	+requires-python = ">=3.12"
		5	+dependencies = ["findata-schema", "pyarrow>=18.0", "polars>=1.12", "exchange-calendars>=4.5"]
		6	+[tool.uv.sources]
		7	+findata-schema = { workspace = true }
		8	+[build-system]
		9	+requires = ["hatchling"]
		10	+build-backend = "hatchling.build"
		11	+[tool.hatch.build.targets.wheel]
		12	+packages = ["src/findata_quality"]

added services/quality/src/findata_quality/__init__.py +3 −0

				@@ -0,0 +1,3 @@
		1	+from findata_quality.calendar import SessionCalendar, ET # noqa: F401
		2	+from findata_quality.validators import validate_bars # noqa: F401
		3	+from findata_quality.aggregate import aggregate_bars # noqa: F401

added services/quality/src/findata_quality/aggregate.py +32 −0

				@@ -0,0 +1,32 @@
		1	+"""Deterministic bar aggregation (1m → 5m/30m/1h). Buckets are aligned on the ET wall clock so that the
		2	+09:30 bucket covers 09:30:00–09:34:59 regardless of DST. Never fills empty buckets."""
		3	+from __future__ import annotations
		4	+
		5	+import polars as pl
		6	+import pyarrow as pa
		7	+
		8	+from findata_schema import BARS_SCHEMA, INTERVAL_SECONDS, Interval
		9	+
		10	+
		11	+def aggregate_bars(table: pa.Table, target: Interval, source: Interval = Interval.m1) -> pa.Table:
		12	+ if INTERVAL_SECONDS[target] % INTERVAL_SECONDS[source] != 0:
		13	+ raise ValueError(f"{target} is not a multiple of {source}")
		14	+ df = pl.from_arrow(table)
		15	+ if df.height == 0:
		16	+ return table.cast(BARS_SCHEMA)
		17	+ every = f"{INTERVAL_SECONDS[target]}s"
		18	+ # Truncate in local exchange time, then convert back: bucket boundaries follow the wall clock.
		19	+ local = pl.col("timestamp_utc").dt.convert_time_zone("America/New_York")
		20	+ df = df.with_columns(local.dt.truncate(every).dt.convert_time_zone("UTC").alias("bucket"))
		21	+ df = df.sort(["symbol_as_reported", "timestamp_utc"])
		22	+ agg = (df.group_by(["instrument_id", "symbol_as_reported", "venue", "asset_class", "session_date", "currency",
		23	+ "adjustment_type", "source_id", "bucket"], maintain_order=True)
		24	+ .agg(pl.col("open").first(), pl.col("high").max(), pl.col("low").min(), pl.col("close").last(),
		25	+ pl.col("volume").sum(), pl.len().cast(pl.Int32).alias("trade_count"),
		26	+ ((pl.col("close") * pl.col("volume")).sum() / pl.col("volume").sum()).alias("vwap"),
		27	+ pl.col("ingested_at").max(), pl.col("quality_flags").list.explode(keep_nulls=False, empty_as_null=False).drop_nulls().unique().alias("quality_flags"),
		28	+ pl.col("revision_id").max()))
		29	+ agg = agg.rename({"bucket": "timestamp_utc"}).with_columns(pl.lit(target.value).alias("interval"))
		30	+ agg = agg.with_columns(pl.when(pl.col("volume") > 0).then(pl.col("vwap")).otherwise(None).alias("vwap"))
		31	+ out = agg.select(BARS_SCHEMA.names).to_arrow()
		32	+ return out.cast(BARS_SCHEMA)

added services/quality/src/findata_quality/calendar.py +65 −0

				@@ -0,0 +1,65 @@
		1	+"""Market session calendar for US equities (XNYS) with extended hours and DST handled via zoneinfo.
		2	+
		3	+Policy (documented in docs/DATA_DICTIONARY.md):
		4	+- Regular session 09:30–16:00 ET; vendor extended hours 04:00–20:00 ET (last 1-minute bar opens 19:59).
		5	+- Early closes (e.g. day after Thanksgiving, Christmas Eve) come from exchange_calendars; regular-hours
		6	+ expectations use the calendar's actual close for that date.
		7	+- `expected_regular_bars(date)` = minutes between open and close (inclusive of the 16:00 bar which the vendor
		8	+ emits as the closing auction print) — used for coverage %, never to manufacture bars.
		9	+"""
		10	+from __future__ import annotations
		11	+
		12	+from datetime import date, datetime, time, timedelta
		13	+from functools import lru_cache
		14	+from zoneinfo import ZoneInfo
		15	+
		16	+import exchange_calendars as xcals
		17	+import pandas as pd
		18	+
		19	+ET = ZoneInfo("America/New_York")
		20	+UTC = ZoneInfo("UTC")
		21	+
		22	+EXT_OPEN = time(4, 0)
		23	+EXT_CLOSE = time(20, 0) # exclusive
		24	+
		25	+
		26	+class SessionCalendar:
		27	+ def __init__(self, name: str = "XNYS", start: str = "1999-01-01", end: str = "2030-12-31"):
		28	+ self.name = name
		29	+ self.cal = xcals.get_calendar(name, start=start, end=end)
		30	+ self._sessions = set(d.date() for d in self.cal.sessions)
		31	+
		32	+ def is_session(self, d: date) -> bool:
		33	+ return d in self._sessions
		34	+
		35	+ def regular_open_close(self, d: date) -> tuple[datetime, datetime]:
		36	+ """Open/close as timezone-aware ET datetimes for session `d` (handles early closes and DST)."""
		37	+ ts = pd.Timestamp(d)
		38	+ o = self.cal.session_open(ts).tz_convert("America/New_York").to_pydatetime()
		39	+ c = self.cal.session_close(ts).tz_convert("America/New_York").to_pydatetime()
		40	+ return o, c
		41	+
		42	+ def expected_regular_bars(self, d: date, interval_seconds: int = 60) -> int:
		43	+ if not self.is_session(d):
		44	+ return 0
		45	+ o, c = self.regular_open_close(d)
		46	+ return int((c - o).total_seconds() // interval_seconds) + 1 # + closing print bar
		47	+
		48	+ def extended_bounds_utc(self, d: date) -> tuple[datetime, datetime]:
		49	+ start = datetime.combine(d, EXT_OPEN, tzinfo=ET).astimezone(UTC)
		50	+ end = datetime.combine(d, EXT_CLOSE, tzinfo=ET).astimezone(UTC)
		51	+ return start, end
		52	+
		53	+ def sessions_between(self, start: date, end: date) -> list[date]:
		54	+ return [d for d in sorted(self._sessions) if start <= d <= end]
		55	+
		56	+ def previous_session(self, d: date) -> date:
		57	+ cur = d - timedelta(days=1)
		58	+ while cur not in self._sessions:
		59	+ cur -= timedelta(days=1)
		60	+ return cur
		61	+
		62	+
		63	+@lru_cache
		64	+def xnys() -> SessionCalendar:
		65	+ return SessionCalendar("XNYS")

added services/quality/src/findata_quality/validators.py +96 −0

				@@ -0,0 +1,96 @@
		1	+"""Row-level and session-level validation of canonical bars. Flags, never mutates prices."""
		2	+from __future__ import annotations
		3	+
		4	+from datetime import date
		5	+from typing import Any
		6	+
		7	+import polars as pl
		8	+import pyarrow as pa
		9	+
		10	+from findata_quality.calendar import SessionCalendar, xnys
		11	+from findata_schema import INTERVAL_SECONDS, Interval, QualityFlag
		12	+
		13	+PRICE_JUMP_THRESHOLD = 0.25 # 25 % between consecutive 1-minute closes inside a session (flag only)
		14	+
		15	+
		16	+def validate_bars(table: pa.Table, interval: Interval, calendar: SessionCalendar | None = None,
		17	+ check_sessions: bool = True) -> tuple[pa.Table, list[dict[str, Any]]]:
		18	+ """Return (table with `quality_flags` filled, anomalies list). Input must follow BARS_SCHEMA columns."""
		19	+ cal = calendar or xnys()
		20	+ step = INTERVAL_SECONDS[interval]
		21	+ df = pl.from_arrow(table)
		22	+ if df.height == 0:
		23	+ return table, []
		24	+ df = df.sort(["symbol_as_reported", "timestamp_utc"])
		25	+ ts_s = pl.col("timestamp_utc").dt.epoch("s")
		26	+ flags: list[pl.Expr] = [
		27	+ pl.when((pl.col("high") < pl.max_horizontal("open", "close")) | (pl.col("low") > pl.min_horizontal("open", "close"))
		28	+ | (pl.col("high") < pl.col("low"))).then(pl.lit(QualityFlag.ohlc_inconsistent.value)),
		29	+ pl.when(pl.min_horizontal("open", "high", "low", "close") <= 0).then(pl.lit(QualityFlag.nonpositive_price.value)),
		30	+ pl.when(pl.col("volume") < 0).then(pl.lit(QualityFlag.negative_volume.value)),
		31	+ pl.when(pl.col("volume") == 0).then(pl.lit(QualityFlag.zero_volume.value)),
		32	+ pl.when(pl.col("volume") != pl.col("volume").floor()).then(pl.lit(QualityFlag.fractional_volume.value)),
		33	+ pl.when((ts_s % step) != 0).then(pl.lit(QualityFlag.off_interval.value)),
		34	+ pl.when(pl.struct(["symbol_as_reported", "timestamp_utc"]).is_duplicated()).then(pl.lit(QualityFlag.duplicate.value)),
		35	+ ]
		36	+ if interval != Interval.d1:
		37	+ prev_close = pl.col("close").shift(1).over(["symbol_as_reported", "session_date"])
		38	+ flags.append(pl.when(((pl.col("close") / prev_close) - 1).abs() > PRICE_JUMP_THRESHOLD)
		39	+ .then(pl.lit(QualityFlag.price_jump.value)))
		40	+ if check_sessions and interval != Interval.d1:
		41	+ # outside extended hours / non trading day: computed per distinct session_date
		42	+ dates = df.get_column("session_date").unique().to_list()
		43	+ bounds = {d: cal.extended_bounds_utc(d) for d in dates}
		44	+ non_sessions = [d for d in dates if not cal.is_session(d)]
		45	+ lo = pl.col("session_date").replace_strict({d: b[0] for d, b in bounds.items()}, return_dtype=pl.Datetime("us", "UTC"))
		46	+ hi = pl.col("session_date").replace_strict({d: b[1] for d, b in bounds.items()}, return_dtype=pl.Datetime("us", "UTC"))
		47	+ flags.append(pl.when((pl.col("timestamp_utc") < lo) | (pl.col("timestamp_utc") >= hi))
		48	+ .then(pl.lit(QualityFlag.outside_session.value)))
		49	+ if non_sessions:
		50	+ flags.append(pl.when(pl.col("session_date").is_in(non_sessions)).then(pl.lit(QualityFlag.non_trading_day.value)))
		51	+ df = df.with_columns(
		52	+ pl.concat_list([f.otherwise(None) for f in flags]).list.drop_nulls().alias("quality_flags")
		53	+ )
		54	+ anomalies = _summarize(df)
		55	+ out = df.to_arrow()
		56	+ # cast back to the canonical schema (polars may widen list/int types)
		57	+ out = out.select(table.column_names).cast(table.schema)
		58	+ return out, anomalies
		59	+
		60	+
		61	+def _summarize(df: pl.DataFrame) -> list[dict[str, Any]]:
		62	+ flagged = df.filter(pl.col("quality_flags").list.len() > 0)
		63	+ if flagged.height == 0:
		64	+ return []
		65	+ agg = (flagged.explode("quality_flags")
		66	+ .group_by(["symbol_as_reported", "session_date", "quality_flags"]).agg(pl.len().alias("n"))
		67	+ .sort(["symbol_as_reported", "session_date", "quality_flags"]))
		68	+ sev = {QualityFlag.zero_volume.value: "info", QualityFlag.fractional_volume.value: "info",
		69	+ QualityFlag.price_jump.value: "warning", QualityFlag.outside_session.value: "warning",
		70	+ QualityFlag.gap.value: "info"}
		71	+ return [{"symbol": r["symbol_as_reported"], "session_date": r["session_date"], "code": r["quality_flags"],
		72	+ "severity": sev.get(r["quality_flags"], "error"), "detail": {"rows": r["n"]}}
		73	+ for r in agg.iter_rows(named=True)]
		74	+
		75	+
		76	+def session_coverage(table: pa.Table, interval: Interval, calendar: SessionCalendar | None = None) -> list[dict[str, Any]]:
		77	+ """Per (symbol, session_date): bar count, first/last ts, expected regular-hours bars, gap flags."""
		78	+ cal = calendar or xnys()
		79	+ step = INTERVAL_SECONDS[interval]
		80	+ df = pl.from_arrow(table)
		81	+ if df.height == 0:
		82	+ return []
		83	+ g = (df.group_by(["symbol_as_reported", "session_date"])
		84	+ .agg(pl.len().alias("bar_count"), pl.col("timestamp_utc").min().alias("first_ts"),
		85	+ pl.col("timestamp_utc").max().alias("last_ts"))
		86	+ .sort(["symbol_as_reported", "session_date"]))
		87	+ rows = []
		88	+ for r in g.iter_rows(named=True):
		89	+ d: date = r["session_date"]
		90	+ exp = cal.expected_regular_bars(d, step) if interval != Interval.d1 else 1
		91	+ flags = []
		92	+ if not cal.is_session(d):
		93	+ flags.append(QualityFlag.non_trading_day.value)
		94	+ rows.append({"symbol": r["symbol_as_reported"], "session_date": d, "bar_count": r["bar_count"],
		95	+ "first_ts": r["first_ts"], "last_ts": r["last_ts"], "expected_bars": exp, "flags": flags})
		96	+ return rows

added tests/__init__.py +0 −0

added tests/conftest.py +158 −0

				@@ -0,0 +1,158 @@
		1	+"""Test harness: isolated lake in a temp dir, a fresh `findata_test` PostgreSQL database (localhost), and a mocked
		2	+FirstRate transport built from the licensed fixture excerpts (one session, three tickers). No real vendor calls."""
		3	+from __future__ import annotations
		4	+
		5	+import io
		6	+import os
		7	+import subprocess
		8	+import tempfile
		9	+import zipfile
		10	+from pathlib import Path
		11	+
		12	+TEST_USERID = "test-userid-SECRET-9f8e7d6c"
		13	+ROOT = Path(__file__).resolve().parents[1]
		14	+LAKE_DIR = Path(os.environ.get("FINDATA_LAKE") or tempfile.mkdtemp(prefix="findata-lake-"))
		15	+os.environ.setdefault("FINDATA_LAKE", str(LAKE_DIR))
		16	+os.environ.update({
		17	+ "FINDATA_ENV": "test",
		18	+ "FINDATA_ROOT": str(ROOT),
		19	+ "FINDATA_DATABASE_URL": os.environ.get("FINDATA_TEST_DATABASE_URL", "postgresql://127.0.0.1:5432/findata_test"),
		20	+ "FINDATA_SECRET_KEY": "test-secret-key-test-secret-key-0123456789",
		21	+ "FINDATA_PUBLIC_URL": "http://testserver",
		22	+ "FRD_USERID": TEST_USERID,
		23	+ "SEC_EDGAR_USER_AGENT": "",
		24	+ "FINDATA_LAKE_HARD_MIN_FREE_GB": "1",
		25	+ "FINDATA_BACKUP_TARGET": "",
		26	+})
		27	+
		28	+import httpx # noqa: E402
		29	+import pytest # noqa: E402
		30	+
		31	+FIX = ROOT / "tests" / "fixtures"
		32	+
		33	+
		34	+def _reset_db() -> None:
		35	+ url = os.environ["FINDATA_DATABASE_URL"]
		36	+ subprocess.run(["psql", url, "-q", "-c", "DROP SCHEMA public CASCADE; CREATE SCHEMA public;"], check=True, capture_output=True)
		37	+ from findata_core.db import close_pool, migrate
		38	+ close_pool()
		39	+ migrate(verbose=False)
		40	+
		41	+
		42	+@pytest.fixture(scope="session", autouse=True)
		43	+def database():
		44	+ _reset_db()
		45	+ yield
		46	+ from findata_core.db import close_pool
		47	+ close_pool()
		48	+
		49	+
		50	+def build_update_zip(tickers: list[str] | None = None, mutate: dict[str, str] | None = None, period: str = "day") -> bytes:
		51	+ """Zip shaped like the vendor's `stock_update_day_1min_UNADJUSTED.zip`."""
		52	+ tickers = tickers or ["AAPL", "A", "AAL"]
		53	+ buf = io.BytesIO()
		54	+ with zipfile.ZipFile(buf, "w", zipfile.ZIP_DEFLATED) as zf:
		55	+ for t in tickers:
		56	+ data = (FIX / "firstrate" / f"{t}_day_1min_UNADJUSTED.txt").read_text()
		57	+ if mutate and t in mutate:
		58	+ data = mutate[t]
		59	+ zf.writestr(zipfile.ZipInfo(f"{t}_{period}_1min_UNADJUSTED.txt", date_time=(2026, 10, 30, 18, 6, 0)), data, compress_type=zipfile.ZIP_DEFLATED)
		60	+ return buf.getvalue()
		61	+
		62	+
		63	+def build_full_zip(tickers: list[str]) -> bytes:
		64	+ buf = io.BytesIO()
		65	+ with zipfile.ZipFile(buf, "w", zipfile.ZIP_DEFLATED) as zf:
		66	+ for t in tickers:
		67	+ zf.writestr(zipfile.ZipInfo(f"{t}_1min.txt", date_time=(2026, 10, 30, 18, 6, 0)), (FIX / "firstrate" / f"{t}_day_1min_UNADJUSTED.txt").read_text(), compress_type=zipfile.ZIP_DEFLATED)
		68	+ return buf.getvalue()
		69	+
		70	+
		71	+class VendorMock:
		72	+ """httpx.MockTransport handler emulating FirstRate endpoints; records sanitized calls; asserts auth."""
		73	+
		74	+ def __init__(self):
		75	+ self.calls: list[str] = []
		76	+ self.last_update = "2026-10-30"
		77	+ self.archive_override: bytes | None = None
		78	+ self.fail_next_download = 0
		79	+
		80	+ def __call__(self, request: httpx.Request) -> httpx.Response:
		81	+ url = request.url
		82	+ assert url.params.get("userid") == TEST_USERID, "vendor calls must carry the userid"
		83	+ self.calls.append(f"{url.path}?{'&'.join(f'{k}={v}' for k, v in sorted(url.params.items()) if k != 'userid')}")
		84	+ if url.path == "/api/last_update":
		85	+ return httpx.Response(200, text=self.last_update if url.params.get("type") != "fx" else self.last_update.replace("-", ""))
		86	+ if url.path == "/api/ticker_listing":
		87	+ t = url.params.get("type")
		88	+ body = "Ticker,Name,First Date,Last Date\n"
		89	+ if t == "stock":
		90	+ body += "A,Agilent Technologies Inc,2000-01-04,2026-10-30\nAAL,American Airlines,2005-09-27,2026-10-30\nAAPL,Apple Inc,2000-01-03,2026-10-30\nTWTR-DELISTED,Twitter Inc,2013-11-07,2022-10-27\n"
		91	+ else:
		92	+ body += "SPY,SPDR S&P 500,2000-01-03,2026-10-30\n"
		93	+ return httpx.Response(200, text=body)
		94	+ if url.path == "/api/update_log":
		95	+ return httpx.Response(200, text="Ticker,Last Date\nTWTR,2022-10-27\n")
		96	+ if url.path == "/api/meta_file":
		97	+ kind = url.params.get("metafile_type")
		98	+ buf = io.BytesIO()
		99	+ with zipfile.ZipFile(buf, "w") as zf:
		100	+ if kind == "splits":
		101	+ zf.writestr("AAPL.txt", "2020-08-31,4\n2014-06-09,7\n2005-02-28,2\n2000-06-21,2\n")
		102	+ zf.writestr("_splits_readme.txt", "readme")
		103	+ else:
		104	+ zf.writestr("AAPL_divs.txt", "2026-08-10,0.27\n2026-05-11,0.27\n")
		105	+ return httpx.Response(302, headers={"location": "https://cdn.example/meta.zip"}) if False else httpx.Response(200, content=buf.getvalue(), headers={"content-type": "application/zip"})
		106	+ if url.path == "/api/data_file":
		107	+ if self.fail_next_download:
		108	+ self.fail_next_download -= 1
		109	+ return httpx.Response(503, text="busy")
		110	+ if url.params.get("period") == "full":
		111	+ letter = url.params.get("ticker_range")
		112	+ tick = [t for t in ["A", "AAL", "AAPL"] if t.startswith(letter)]
		113	+ return httpx.Response(200, content=build_full_zip(tick), headers={"content-type": "application/zip"})
		114	+ body = self.archive_override or build_update_zip(period=url.params.get("period", "day"))
		115	+ # emulate the CDN redirect
		116	+ if url.host == "firstratedata.com":
		117	+ return httpx.Response(302, headers={"location": f"https://x01.frd-data.com/stock_update_{url.params.get('period')}_1min_UNADJUSTED_tok.zip?userid={TEST_USERID}"})
		118	+ return httpx.Response(200, content=body, headers={"content-type": "application/zip"})
		119	+ if url.host == "x01.frd-data.com":
		120	+ body = self.archive_override or build_update_zip()
		121	+ return httpx.Response(200, content=body, headers={"content-type": "application/zip"})
		122	+ if url.path.startswith("/api-f/v1/financials/all/"):
		123	+ p = (FIX / "fundamentals" / "financials_all_AAPL_quarterly.json").read_text()
		124	+ return httpx.Response(200, text=p, headers={"content-type": "application/json"})
		125	+ if url.path.startswith("/api-f/v1/earnings_release/t/"):
		126	+ return httpx.Response(200, text=(FIX / "fundamentals" / "earnings_AAPL.json").read_text(), headers={"content-type": "application/json"})
		127	+ return httpx.Response(404, text=f"no route {url.path} userid={url.params.get('userid')}")
		128	+
		129	+
		130	+@pytest.fixture
		131	+def vendor(monkeypatch):
		132	+ vm = VendorMock()
		133	+ import findata_market_firstrate.client as C
		134	+ import findata_fundamentals.firstrate as F
		135	+ monkeypatch.setattr(C, "DEFAULT_TRANSPORT", httpx.MockTransport(vm))
		136	+ monkeypatch.setattr(F, "DEFAULT_TRANSPORT", httpx.MockTransport(vm))
		137	+ return vm
		138	+
		139	+
		140	+@pytest.fixture
		141	+def lake():
		142	+ from findata_ingest.lake import Lake
		143	+ return Lake(LAKE_DIR)
		144	+
		145	+
		146	+class Log:
		147	+ def __getattr__(self, name):
		148	+ def f(*a, **k):
		149	+ return None
		150	+ return f
		151	+
		152	+ def bind(self, **k):
		153	+ return self
		154	+
		155	+
		156	+@pytest.fixture
		157	+def log():
		158	+ return Log()

added tests/fixtures/firstrate/AAL_day_1min_UNADJUSTED.txt +554 −0

				@@ -0,0 +1,554 @@
		1	+2026-10-30 04:00:00,12.6,12.67,12.6,12.67,6326
		2	+2026-10-30 04:01:00,12.67,12.68,12.59,12.6,14638
		3	+2026-10-30 04:02:00,12.66,12.66,12.66,12.66,1345
		4	+2026-10-30 04:03:00,12.62,12.68,12.6095,12.65,5984
		5	+2026-10-30 04:04:00,12.67,12.67,12.67,12.67,800
		6	+2026-10-30 04:27:00,12.6077,12.6077,12.6077,12.6077,700
		7	+2026-10-30 04:46:00,12.67,12.68,12.67,12.68,1498
		8	+2026-10-30 04:51:00,12.68,12.68,12.68,12.68,195
		9	+2026-10-30 04:54:00,12.72,12.72,12.72,12.72,300
		10	+2026-10-30 05:10:00,12.69,12.69,12.69,12.69,1000
		11	+2026-10-30 05:45:00,12.65,12.65,12.64,12.64,2076
		12	+2026-10-30 05:53:00,12.62,12.62,12.62,12.62,1090
		13	+2026-10-30 06:02:00,12.64,12.64,12.64,12.64,632
		14	+2026-10-30 06:03:00,12.62,12.62,12.59,12.6,9694
		15	+2026-10-30 06:15:00,12.5799,12.5799,12.5799,12.5799,536
		16	+2026-10-30 06:28:00,12.61,12.61,12.61,12.61,1313
		17	+2026-10-30 06:39:00,12.59,12.59,12.59,12.59,331
		18	+2026-10-30 06:48:00,12.5748,12.5748,12.5748,12.5748,120
		19	+2026-10-30 06:49:00,12.59,12.59,12.59,12.59,100
		20	+2026-10-30 06:50:00,12.59,12.59,12.59,12.59,100
		21	+2026-10-30 06:51:00,12.58,12.58,12.58,12.58,239
		22	+2026-10-30 07:00:00,12.58,12.595,12.58,12.595,655
		23	+2026-10-30 07:02:00,12.595,12.595,12.595,12.595,150
		24	+2026-10-30 07:03:00,12.5846,12.5846,12.5846,12.5846,500
		25	+2026-10-30 07:06:00,12.5885,12.5885,12.5815,12.5815,2500
		26	+2026-10-30 07:07:00,12.585,12.585,12.58,12.58,200
		27	+2026-10-30 07:08:00,12.595,12.595,12.595,12.595,1500
		28	+2026-10-30 07:09:00,12.6054,12.6054,12.6054,12.6054,100
		29	+2026-10-30 07:14:00,12.6,12.6,12.6,12.6,1940
		30	+2026-10-30 07:21:00,12.61,12.61,12.61,12.61,100
		31	+2026-10-30 07:23:00,12.5901,12.6,12.5901,12.6,1100
		32	+2026-10-30 07:26:00,12.6,12.6,12.6,12.6,1000
		33	+2026-10-30 07:27:00,12.59,12.59,12.59,12.59,955
		34	+2026-10-30 07:33:00,12.6,12.6,12.6,12.6,797
		35	+2026-10-30 07:34:00,12.59,12.59,12.59,12.59,120
		36	+2026-10-30 07:35:00,12.595,12.595,12.595,12.595,2375
		37	+2026-10-30 07:36:00,12.58,12.58,12.58,12.58,100
		38	+2026-10-30 07:37:00,12.6,12.6,12.6,12.6,300
		39	+2026-10-30 07:40:00,12.58,12.58,12.57,12.57,9937
		40	+2026-10-30 07:42:00,12.57,12.57,12.56,12.56,4043
		41	+2026-10-30 07:43:00,12.56,12.57,12.56,12.57,1038
		42	+2026-10-30 07:46:00,12.61,12.61,12.61,12.61,350
		43	+2026-10-30 07:56:00,12.55,12.55,12.55,12.55,2000
		44	+2026-10-30 08:03:00,12.57,12.57,12.57,12.57,2500
		45	+2026-10-30 08:04:00,12.57,12.57,12.57,12.57,377
		46	+2026-10-30 08:05:00,12.5505,12.56,12.5505,12.56,250
		47	+2026-10-30 08:10:00,12.57,12.57,12.57,12.57,2000
		48	+2026-10-30 08:14:00,12.55,12.55,12.55,12.55,10000
		49	+2026-10-30 08:15:00,12.55,12.55,12.55,12.55,3169
		50	+2026-10-30 08:16:00,12.53,12.53,12.53,12.53,250
		51	+2026-10-30 08:17:00,12.53,12.53,12.52,12.52,1147
		52	+2026-10-30 08:20:00,12.56,12.56,12.53,12.53,972
		53	+2026-10-30 08:22:00,12.5798,12.5798,12.5798,12.5798,100
		54	+2026-10-30 08:23:00,12.55,12.55,12.55,12.55,150
		55	+2026-10-30 08:25:00,12.5305,12.5305,12.5305,12.5305,399
		56	+2026-10-30 08:27:00,12.5755,12.5755,12.5755,12.5755,300
		57	+2026-10-30 08:28:00,12.57,12.57,12.57,12.57,500
		58	+2026-10-30 08:33:00,12.57,12.5795,12.57,12.5795,976
		59	+2026-10-30 08:34:00,12.56,12.56,12.56,12.56,100
		60	+2026-10-30 08:37:00,12.55,12.55,12.55,12.55,100
		61	+2026-10-30 08:39:00,12.57,12.58,12.57,12.58,400
		62	+2026-10-30 08:41:00,12.58,12.58,12.58,12.58,1000
		63	+2026-10-30 08:44:00,12.5362,12.5362,12.5362,12.5362,100
		64	+2026-10-30 08:46:00,12.56,12.57,12.5412,12.5412,3000
		65	+2026-10-30 08:47:00,12.5678,12.57,12.5635,12.5635,2200
		66	+2026-10-30 08:48:00,12.5438,12.5438,12.5438,12.5438,100
		67	+2026-10-30 08:49:00,12.57,12.57,12.57,12.57,1000
		68	+2026-10-30 08:51:00,12.55,12.55,12.52,12.52,29858
		69	+2026-10-30 08:54:00,12.5753,12.5753,12.5753,12.5753,125
		70	+2026-10-30 08:57:00,12.5519,12.5519,12.5519,12.5519,400
		71	+2026-10-30 08:58:00,12.57,12.575,12.56,12.56,5382
		72	+2026-10-30 08:59:00,12.6,12.6,12.6,12.6,500
		73	+2026-10-30 09:00:00,12.59,12.59,12.59,12.59,114
		74	+2026-10-30 09:01:00,12.5782,12.5782,12.5782,12.5782,200
		75	+2026-10-30 09:08:00,12.66,12.66,12.66,12.66,1000
		76	+2026-10-30 09:09:00,12.6,12.6,12.58,12.58,842
		77	+2026-10-30 09:11:00,12.6461,12.6461,12.6,12.6097,540
		78	+2026-10-30 09:14:00,12.59,12.59,12.59,12.59,200
		79	+2026-10-30 09:15:00,12.59,12.59,12.59,12.59,446
		80	+2026-10-30 09:17:00,12.5907,12.5907,12.5907,12.5907,1500
		81	+2026-10-30 09:19:00,12.59,12.59,12.59,12.59,100
		82	+2026-10-30 09:20:00,12.5905,12.5905,12.5905,12.5905,2000
		83	+2026-10-30 09:21:00,12.5844,12.59,12.5844,12.59,2200
		84	+2026-10-30 09:23:00,12.6008,12.6008,12.6008,12.6008,1000
		85	+2026-10-30 09:26:00,12.5908,12.5908,12.59,12.59,8050
		86	+2026-10-30 09:30:00,12.64,12.64,12.565,12.5869,312475
		87	+2026-10-30 09:31:00,12.59,12.615,12.5404,12.59,126137
		88	+2026-10-30 09:32:00,12.595,12.62,12.5906,12.595,82323
		89	+2026-10-30 09:33:00,12.595,12.595,12.55,12.55,60686
		90	+2026-10-30 09:34:00,12.56,12.61,12.56,12.585,50571
		91	+2026-10-30 09:35:00,12.585,12.615,12.58,12.59,48462
		92	+2026-10-30 09:36:00,12.6,12.6,12.565,12.575,45302
		93	+2026-10-30 09:37:00,12.576,12.6,12.56,12.6,85717
		94	+2026-10-30 09:38:00,12.605,12.615,12.5901,12.5901,63026
		95	+2026-10-30 09:39:00,12.6,12.6299,12.6,12.615,83049
		96	+2026-10-30 09:40:00,12.6199,12.635,12.585,12.588,95944
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		537	+2026-10-30 19:20:00,12.57,12.57,12.5667,12.5667,698
		538	+2026-10-30 19:21:00,12.56,12.56,12.56,12.56,500
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		541	+2026-10-30 19:35:00,12.5699,12.5699,12.5699,12.5699,150
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		548	+2026-10-30 19:45:00,12.55,12.55,12.54,12.54,5021
		549	+2026-10-30 19:46:00,12.56,12.56,12.56,12.56,500
		550	+2026-10-30 19:47:00,12.53,12.53,12.53,12.53,1000
		551	+2026-10-30 19:51:00,12.5585,12.56,12.5535,12.5537,3670
		552	+2026-10-30 19:55:00,12.54,12.54,12.54,12.54,500
		553	+2026-10-30 19:56:00,12.56,12.56,12.56,12.56,2000
		554	+2026-10-30 19:59:00,12.56,12.56,12.56,12.56,500
	\ No newline at end of file

added tests/fixtures/firstrate/AAPL_day_1min_UNADJUSTED.txt +900 −0

				@@ -0,0 +1,900 @@
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		900	+2026-10-30 19:59:00,345.0933,345.1,345.0933,345.1,852
	\ No newline at end of file

added tests/fixtures/firstrate/A_day_1min_UNADJUSTED.txt +390 −0

				@@ -0,0 +1,390 @@
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		379	+2026-10-30 15:50:00,175.72,175.86,175.51,175.51,5535
		380	+2026-10-30 15:51:00,175.65,175.72,175.6,175.61,6260
		381	+2026-10-30 15:52:00,175.61,175.61,175.26,175.26,6502
		382	+2026-10-30 15:53:00,175.31,175.33,174.92,175.19,23047
		383	+2026-10-30 15:54:00,175.23,175.24,174.98,175.24,30976
		384	+2026-10-30 15:55:00,175.21,175.335,175.1873,175.24,17554
		385	+2026-10-30 15:56:00,175.33,175.3995,175,175.13,48804
		386	+2026-10-30 15:57:00,175.13,175.13,174.89,175.065,12135
		387	+2026-10-30 15:58:00,175.065,175.12,174.885,174.91,28164
		388	+2026-10-30 15:59:00,174.91,175.03,174.8,174.81,32975
		389	+2026-10-30 16:00:00,174.87,174.87,174.87,174.87,390230
		390	+2026-10-30 16:34:00,171.2677,171.2677,171.2677,171.2677,170
	\ No newline at end of file

added tests/fixtures/fundamentals/earnings_AAPL.json +74 −0

				@@ -0,0 +1,74 @@
		1	+{
		2	+ "status": "success",
		3	+ "data": {
		4	+ "ticker": "AAPL",
		5	+ "sort": "desc",
		6	+ "count": 10,
		7	+ "earnings_release_data": [
		8	+ {
		9	+ "date": "2026-11-02",
		10	+ "eps_estimate": 1.98,
		11	+ "eps_reported": null,
		12	+ "release_time": "after_close"
		13	+ },
		14	+ {
		15	+ "date": "2026-10-29",
		16	+ "eps_estimate": 1.98,
		17	+ "eps_reported": null,
		18	+ "release_time": "after_close"
		19	+ },
		20	+ {
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		22	+ "eps_estimate": 1.89,
		23	+ "eps_reported": 2.02,
		24	+ "release_time": "after_close"
		25	+ },
		26	+ {
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		29	+ "eps_reported": null,
		30	+ "release_time": "before_open"
		31	+ },
		32	+ {
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		35	+ "eps_reported": 2.01,
		36	+ "release_time": "after_close"
		37	+ },
		38	+ {
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		40	+ "eps_estimate": 2.65,
		41	+ "eps_reported": 2.84,
		42	+ "release_time": "before_open"
		43	+ },
		44	+ {
		45	+ "date": "2025-10-30",
		46	+ "eps_estimate": 1.74,
		47	+ "eps_reported": 1.85,
		48	+ "release_time": "before_open"
		49	+ },
		50	+ {
		51	+ "date": "2025-07-31",
		52	+ "eps_estimate": 1.43,
		53	+ "eps_reported": 1.57,
		54	+ "release_time": "after_close"
		55	+ },
		56	+ {
		57	+ "date": "2025-05-01",
		58	+ "eps_estimate": 1.62,
		59	+ "eps_reported": 1.65,
		60	+ "release_time": "after_close"
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		62	+ {
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		65	+ "eps_reported": 2.4,
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		69	+ },
		70	+ "meta": {
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		72	+ "processing_time_ms": 38
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		74	+}
	\ No newline at end of file

added tests/fixtures/fundamentals/financials_all_AAPL_quarterly.json +927 −0

				@@ -0,0 +1,927 @@
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		3	+ "data": {
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		922	+ },
		923	+ "meta": {
		924	+ "request_timestamp": "2026-11-01T22:29:13.163211",
		925	+ "processing_time_ms": 19
		926	+ }
		927	+}
	\ No newline at end of file

added tests/test_fundamentals_pit.py +56 −0

				@@ -0,0 +1,56 @@
		1	+from __future__ import annotations
		2	+
		3	+import json
		4	+from datetime import UTC, date, datetime
		5	+from pathlib import Path
		6	+
		7	+from findata_fundamentals import SecEdgarConnector, available_at_policy, facts_from_companyfacts, facts_from_financials
		8	+
		9	+FIX = Path(__file__).parent / "fixtures" / "fundamentals"
		10	+NOW = datetime(2026, 11, 1, 12, 0, tzinfo=UTC)
		11	+
		12	+
		13	+def test_available_at_policy_is_next_day_midnight_et():
		14	+ # filing 2026-07-31 → available 2026-08-01 00:00 EDT = 2026-08-01 04:00 UTC
		15	+ assert available_at_policy(date(2026, 7, 31), date(2026, 6, 27)) == datetime(2026, 8, 1, 4, 0, tzinfo=UTC)
		16	+ # winter: 2026-01-30 → 2026-01-31 00:00 EST = 05:00 UTC
		17	+ assert available_at_policy(date(2026, 1, 30), date(2025, 12, 27)) == datetime(2026, 1, 31, 5, 0, tzinfo=UTC)
		18	+ # missing filing date → period_end + 90 d + 1
		19	+ assert available_at_policy(None, date(2026, 6, 30)).date() == date(2026, 9, 29)
		20	+
		21	+
		22	+def test_facts_from_financials_long_format():
		23	+ payload = json.loads((FIX / "financials_all_AAPL_quarterly.json").read_text())
		24	+ facts = list(facts_from_financials(payload, NOW))
		25	+ assert len(facts) > 12 * 50
		26	+ latest = [f for f in facts if f["fiscal_period_end"] == date(2026, 6, 27)]
		27	+ rev = next(f for f in latest if f["metric"] == "rev")
		28	+ assert rev["value"] == 109417000000.0 and rev["unit"] == "USD" and rev["fiscal_period_type"] == "q"
		29	+ assert rev["filing_date"] == date(2026, 7, 31) and rev["available_at"] == datetime(2026, 8, 1, 4, 0, tzinfo=UTC)
		30	+ assert rev["entity_id"] == "frd:AAPL" and rev["source_id"] == "firstrate_fundamentals" and rev["pit_fallback"] is False
		31	+ assert all(f["available_at"] > datetime.combine(f["fiscal_period_end"], datetime.min.time(), tzinfo=UTC) for f in facts)
		32	+
		33	+
		34	+def test_sec_edgar_pending_without_user_agent():
		35	+ c = SecEdgarConnector(user_agent="")
		36	+ assert c.status()["status"] == "pending_configuration"
		37	+ try:
		38	+ c.companyfacts(320193)
		39	+ raise AssertionError("must refuse without user agent")
		40	+ except RuntimeError as e:
		41	+ assert "pending configuration" in str(e)
		42	+
		43	+
		44	+def test_companyfacts_parsing_keeps_each_filing_as_revision():
		45	+ payload = {"cik": 320193, "entityName": "Apple Inc.", "facts": {"us-gaap": {"Revenues": {"units": {"USD": [
		46	+ {"start": "2024-09-29", "end": "2024-12-28", "val": 124300000000, "accn": "0000320193-25-000008", "fy": 2025, "fp": "Q1", "form": "10-Q", "filed": "2025-01-31", "frame": "CY2024Q4"},
		47	+ {"start": "2024-09-29", "end": "2024-12-28", "val": 124300000001, "accn": "0000320193-25-000999", "fy": 2025, "fp": "Q2", "form": "10-Q", "filed": "2025-05-02"},
		48	+ {"start": "2023-10-01", "end": "2024-09-28", "val": 391035000000, "accn": "0000320193-24-000123", "fy": 2024, "fp": "FY", "form": "10-K", "filed": "2024-11-01"},
		49	+ ]}}}}}
		50	+ facts = list(facts_from_companyfacts(payload, NOW))
		51	+ assert len(facts) == 3
		52	+ q = [f for f in facts if f["fiscal_period_end"] == date(2024, 12, 28)]
		53	+ assert sorted(f["filing_date"] for f in q) == [date(2025, 1, 31), date(2025, 5, 2)]
		54	+ assert q[0]["available_at"] == datetime(2025, 2, 1, 5, 0, tzinfo=UTC)
		55	+ fy = next(f for f in facts if f["fiscal_period_type"] == "a")
		56	+ assert fy["metric"] == "rev" and fy["entity_id"] == "sec:CIK0000320193"

added tests/test_ingest_lake.py +157 −0

				@@ -0,0 +1,157 @@
		1	+"""Integration: lake publication, durable queue, incremental sync idempotency, resume, derive, compaction."""
		2	+from __future__ import annotations
		3	+
		4	+import json
		5	+from datetime import UTC, date, datetime
		6	+
		7	+import pyarrow as pa
		8	+import pytest
		9	+
		10	+from findata_core.db import connection, fetch_one, transaction
		11	+from findata_ingest import queue
		12	+from findata_ingest.lake import live_files
		13	+from findata_ingest.reader import apply_adjustment, read_bars, run_sql
		14	+from findata_ingest.tasks import backfill, compaction, derive, incremental, metadata
		15	+from tests.conftest import build_update_zip
		16	+
		17	+DS = "market_bars.stock.1m.raw"
		18	+
		19	+
		20	+def _job(kind, dataset_id, params, run=True):
		21	+ jid = queue.enqueue(kind, dataset_id, params, created_by="test")
		22	+ job = queue.claim_next([kind])
		23	+ assert job and str(job["id"]) == jid
		24	+ return job
		25	+
		26	+
		27	+def _rows(ds=DS):
		28	+ with connection() as conn:
		29	+ return conn.execute("SELECT coalesce(sum(row_count),0) n, count(*) f FROM lake_files WHERE dataset_id=%s AND version_removed IS NULL", (ds,)).fetchone()
		30	+
		31	+
		32	+def test_queue_retry_backoff_and_dead_letter():
		33	+ jid = queue.enqueue("quality", None, {"x": 1}, max_attempts=2, dedupe_key="q-test")
		34	+ assert queue.enqueue("quality", None, {"x": 1}, dedupe_key="q-test") is None # deduped while queued
		35	+ job = queue.claim_next(["quality"])
		36	+ assert job["attempts"] == 1
		37	+ queue.finish(job, False, error=f"boom userid=SECRETVALUE")
		38	+ r = fetch_one("SELECT status, last_error, next_run_at > now() later FROM ingest_jobs WHERE id=%s", (jid,))
		39	+ assert r["status"] == "queued" and r["later"] and "SECRETVALUE" not in r["last_error"]
		40	+ with transaction() as conn:
		41	+ conn.execute("UPDATE ingest_jobs SET next_run_at=now() WHERE id=%s", (jid,))
		42	+ job = queue.claim_next(["quality"])
		43	+ queue.finish(job, False, error="boom again")
		44	+ assert fetch_one("SELECT status FROM ingest_jobs WHERE id=%s", (jid,))["status"] == "dead"
		45	+
		46	+
		47	+def test_metadata_then_incremental_is_idempotent(vendor, lake, log):
		48	+ metadata.run(_job("metadata", None, {"types": ["stock", "etf"]}), lake, log)
		49	+ with connection() as conn:
		50	+ n = conn.execute("SELECT count(*) FROM instruments").fetchone()["count"]
		51	+ delisted = conn.execute("SELECT status FROM instruments WHERE symbol='TWTR-DELISTED'").fetchone()["status"]
		52	+ splits = conn.execute("SELECT count(*) FROM corporate_actions WHERE action_type='split'").fetchone()["count"]
		53	+ assert n == 5 and delisted == "delisted" and splits == 4
		54	+
		55	+ # first incremental: 3 symbols, one session
		56	+ r1 = incremental.run(_job("incremental", DS, {"type": "stock", "period": "day"}), lake, log)
		57	+ assert r1["rows_published"] == 900 + 390 + 532 or r1["rows_published"] > 1500
		58	+ assert r1["version"] == 1 and r1["files_added"] == 1 and r1["symbols"] == 3
		59	+ v1 = _rows()
		60	+ cov = fetch_one("SELECT count(*) n FROM coverage WHERE dataset_id=%s", (DS,))["n"]
		61	+ assert cov == 3
		62	+ raw = fetch_one("SELECT status, path FROM raw_archives WHERE dataset_id=%s", (DS,))
		63	+ assert raw["status"] == "published" and (lake.root / raw["path"]).exists() # immutable raw kept
		64	+
		65	+ # re-run: vendor unchanged → skipped, nothing duplicated
		66	+ r2 = incremental.run(_job("incremental", DS, {"type": "stock", "period": "day"}), lake, log)
		67	+ assert r2.get("skipped") and _rows() == v1
		68	+
		69	+ # forced re-fetch of the identical archive → recognised by sha256, no new version
		70	+ r3 = incremental.run(_job("incremental", DS, {"type": "stock", "period": "day", "force": True}), lake, log)
		71	+ assert r3.get("skipped") and r3["reason"] == "archive already ingested" and _rows() == v1
		72	+
		73	+ # vendor republishes the same session with a corrected bar → supersede (no duplicates, version 2)
		74	+ fixed = (lake.root.parent / "x").exists() # noqa: F841
		75	+ import pathlib
		76	+ txt = (pathlib.Path(__file__).parent / "fixtures" / "firstrate" / "AAPL_day_1min_UNADJUSTED.txt").read_text()
		77	+ txt = txt.replace("2026-10-30 09:30:00,346.63,348.51,346.62,348.26,1119437", "2026-10-30 09:30:00,346.63,348.51,346.62,348.27,1119437")
		78	+ vendor.archive_override = build_update_zip(mutate={"AAPL": txt})
		79	+ vendor.last_update = "2026-10-30"
		80	+ r4 = incremental.run(_job("incremental", DS, {"type": "stock", "period": "day", "force": True}), lake, log)
		81	+ assert not r4.get("skipped") and r4["version"] == 2 and r4["files_retired"] == 1
		82	+ v2 = _rows()
		83	+ assert v2["n"] == v1["n"] and v2["f"] == 1
		84	+ t, meta = read_bars(DS, ["AAPL"], date(2026, 10, 30), date(2026, 10, 30))
		85	+ assert t.num_rows == 900 and meta["version"] == 2
		86	+ row = t.filter(pa.compute.equal(t.column("timestamp_utc"), pa.scalar(datetime(2026, 10, 30, 13, 30, tzinfo=UTC), pa.timestamp("us", tz="UTC")))).to_pylist()[0]
		87	+ assert row["close"] == 348.27
		88	+ # snapshot reproducibility: version 1 still readable from retired file set
		89	+ t1, _ = read_bars(DS, ["AAPL"], date(2026, 10, 30), date(2026, 10, 30), version=1)
		90	+ assert t1.num_rows == 900
		91	+ vendor.archive_override = None
		92	+ # no duplicate (instrument, ts) anywhere in the live set
		93	+ dup = run_sql("SELECT count(*) FROM (SELECT instrument_id, timestamp_utc, count(*) c FROM market_bars_stock_1m_raw GROUP BY 1,2 HAVING c > 1)", 10, 10,
		94	+ {"market_bars_stock_1m_raw": [str(lake.abs(f["path"])) for f in _live()]})[0].to_pylist()[0]
		95	+ assert list(dup.values())[0] == 0
		96	+
		97	+
		98	+def _live():
		99	+ with connection() as conn:
		100	+ return live_files(conn, DS)
		101	+
		102	+
		103	+def test_derive_5m_from_published_session(vendor, lake, log):
		104	+ job = queue.claim_next(["derive"]) # enqueued by the incremental run
		105	+ assert job is not None
		106	+ r = derive.run(job, lake, log)
		107	+ assert r["rows"] > 0
		108	+ t, _ = read_bars("market_bars.stock.5m.raw", ["AAPL"], date(2026, 10, 30), date(2026, 10, 30))
		109	+ assert 150 <= t.num_rows <= 192 and t.column("interval")[0].as_py() == "5m"
		110	+ one, _ = read_bars(DS, ["AAPL"], date(2026, 10, 30), date(2026, 10, 30))
		111	+ assert abs(sum(t.column("volume").to_pylist()) - sum(one.column("volume").to_pylist())) < 1e-6
		112	+
		113	+
		114	+def test_adjustment_applied_at_query_time(vendor, lake, log):
		115	+ with transaction() as conn:
		116	+ conn.execute("INSERT INTO corporate_actions(instrument_id, action_type, ex_date, value, source_id) VALUES ('firstrate:stock:AAPL','split','2026-10-31',2,'firstrate') ON CONFLICT DO NOTHING")
		117	+ raw, _ = read_bars(DS, ["AAPL"], date(2026, 10, 30), date(2026, 10, 30))
		118	+ adj, notes = apply_adjustment(raw, "split")
		119	+ assert abs(adj.column("close")[0].as_py() * 2 - raw.column("close")[0].as_py()) < 1e-9
		120	+ assert abs(adj.column("volume")[0].as_py() - raw.column("volume")[0].as_py() * 2) < 1e-6
		121	+ assert adj.column("adjustment_type")[0].as_py() == "split" and raw.column("adjustment_type")[0].as_py() == "raw"
		122	+ with transaction() as conn:
		123	+ conn.execute("DELETE FROM corporate_actions WHERE ex_date='2026-10-31'")
		124	+
		125	+
		126	+def test_backfill_resumes_from_checkpoint_and_respects_delta_dates(vendor, lake, log):
		127	+ job = _job("backfill", DS, {"type": "stock", "ticker_range": "A", "delete_raw_after_publish": False})
		128	+ # simulate a crash after AAL was published: pre-seed the checkpoint
		129	+ queue.set_checkpoint(f"job:{job['id']}", "state", {"done_symbols": ["AAL"]})
		130	+ r = backfill.run(job, lake, log)
		131	+ # all fixture rows fall on 2026-10-30 which already lives in a delta file → excluded, nothing duplicated
		132	+ assert r["symbols"] == 0 and r["skipped_rows_in_delta"] > 0
		133	+ ck = queue.get_checkpoint(f"job:{job['id']}", "state")
		134	+ assert set(ck["done_symbols"]) == {"A", "AAL", "AAPL"}
		135	+ assert _rows()["f"] == 1
		136	+
		137	+
		138	+def test_compaction_merges_delta_into_base_and_checks_invariant(vendor, lake, log):
		139	+ job = _job("compaction", DS, {"min_age_days": 0})
		140	+ r = compaction.run(job, lake, log)
		141	+ assert r["compacted_files"] == 1 and r["base_files_written"] == 3
		142	+ live = _live()
		143	+ assert all(f["layout"] == "base" for f in live) and len(live) == 3
		144	+ t, _ = read_bars(DS, ["AAPL"], date(2026, 10, 30), date(2026, 10, 30))
		145	+ assert t.num_rows == 900
		146	+ # the retired delta file was moved out of the live tree
		147	+ assert not any(p.name.endswith(".parquet") for p in (lake.root / "curated" / DS / "delta").rglob("*.parquet"))
		148	+ assert any((lake.root / "_retired").rglob("*.parquet"))
		149	+
		150	+
		151	+def test_run_sql_sandbox_rejects_mutations():
		152	+ views = {"market_bars_stock_1m_raw": []}
		153	+ for bad in ["DROP TABLE x", "SELECT 1; SELECT 2", "COPY (SELECT 1) TO '/tmp/x'", "INSTALL httpfs", "SELECT * FROM read_csv('/etc/passwd')", "ATTACH 'x.db'"]:
		154	+ with pytest.raises(ValueError):
		155	+ run_sql(bad, 10, 5, views)
		156	+ t, meta = run_sql("SELECT 1 AS one", 10, 5, views)
		157	+ assert t.to_pylist() == [{"one": 1}]

added tests/test_parse_firstrate.py +72 −0

				@@ -0,0 +1,72 @@
		1	+from __future__ import annotations
		2	+
		3	+from datetime import UTC, date, datetime
		4	+from pathlib import Path
		5	+
		6	+import pyarrow as pa
		7	+
		8	+from findata_market_firstrate.archive import parse_bar_file, ticker_from_filename
		9	+from findata_schema import BARS_SCHEMA, Adjustment, AssetClass, Interval
		10	+
		11	+FIX = Path(__file__).parent / "fixtures" / "firstrate"
		12	+NOW = datetime(2026, 11, 1, 12, 0, tzinfo=UTC)
		13	+
		14	+
		15	+def _parse(text: str, symbol="TEST", interval=Interval.m1):
		16	+ return parse_bar_file(text.encode(), symbol, AssetClass.stock, interval, Adjustment.raw, "firstrate", NOW)
		17	+
		18	+
		19	+def test_ticker_from_filename_variants():
		20	+ assert ticker_from_filename("AAPL_day_1min_UNADJUSTED.txt") == "AAPL"
		21	+ assert ticker_from_filename("AAPL_1min.txt") == "AAPL"
		22	+ assert ticker_from_filename("BRK.B_full_1min_adj_split.txt") == "BRK.B"
		23	+ assert ticker_from_filename("TWTR-DELISTED_1min.txt") == "TWTR-DELISTED"
		24	+ assert ticker_from_filename("nested.zip!/ES_contin_adj_ratio_1min.txt") == "ES"
		25	+
		26	+
		27	+def test_parse_real_session_bar_open_convention():
		28	+ t, raw = parse_bar_file((FIX / "AAPL_day_1min_UNADJUSTED.txt").read_bytes(), "AAPL", AssetClass.stock, Interval.m1, Adjustment.raw, "firstrate", NOW)
		29	+ assert raw == 900 and t.num_rows == 900
		30	+ assert t.schema.equals(BARS_SCHEMA)
		31	+ first = t.slice(0, 1).to_pylist()[0]
		32	+ # 2026-10-30 04:00 America/New_York (EDT, UTC-4) == 08:00 UTC ; timestamp marks the bar OPEN
		33	+ assert first["timestamp_utc"] == datetime(2026, 10, 30, 8, 0, tzinfo=UTC)
		34	+ assert first["session_date"] == date(2026, 10, 30)
		35	+ assert first["open"] == 350.76 and first["volume"] == 4802.0
		36	+ assert first["instrument_id"] == "firstrate:stock:AAPL" and first["adjustment_type"] == "raw"
		37	+ last = t.slice(899, 1).to_pylist()[0]
		38	+ assert last["timestamp_utc"] == datetime(2026, 10, 30, 23, 59, tzinfo=UTC) # 19:59 EDT
		39	+
		40	+
		41	+def test_dst_spring_forward_and_fall_back():
		42	+ # 2026-03-06 (EST, UTC-5): 09:30 ET = 14:30 UTC ; 2026-03-09 (EDT, UTC-4): 09:30 ET = 13:30 UTC
		43	+ t, _ = _parse("2026-03-06 09:30:00,1,2,0.5,1.5,10\n2026-03-09 09:30:00,1,2,0.5,1.5,10\n")
		44	+ ts = t.column("timestamp_utc").to_pylist()
		45	+ assert ts == [datetime(2026, 3, 6, 14, 30, tzinfo=UTC), datetime(2026, 3, 9, 13, 30, tzinfo=UTC)]
		46	+ # fall back 2026-11-01: 2026-10-30 09:30 EDT = 13:30 UTC ; 2026-11-02 09:30 EST = 14:30 UTC
		47	+ t, _ = _parse("2026-10-30 09:30:00,1,2,0.5,1.5,10\n2026-11-02 09:30:00,1,2,0.5,1.5,10\n")
		48	+ ts = t.column("timestamp_utc").to_pylist()
		49	+ assert ts == [datetime(2026, 10, 30, 13, 30, tzinfo=UTC), datetime(2026, 11, 2, 14, 30, tzinfo=UTC)]
		50	+
		51	+
		52	+def test_nonexistent_local_time_is_dropped_and_counted():
		53	+ # 02:30 on 2026-03-08 does not exist in America/New_York
		54	+ t, raw = _parse("2026-03-08 02:30:00,1,2,0.5,1.5,10\n2026-03-08 04:00:00,1,2,0.5,1.5,10\n")
		55	+ assert raw == 2 and t.num_rows == 1
		56	+
		57	+
		58	+def test_crlf_header_and_fx_two_field_layout():
		59	+ t, raw = _parse("DateTime,Open,High,Low,Close,Volume\r\n2026-10-30 09:30:00,1,2,0.5,1.5,10\r\n2026-10-30 09:31:00,1,2,0.5,1.5,0\r\n")
		60	+ assert raw == 2 and t.num_rows == 2
		61	+ t, raw = _parse("20261030,09:30:00,1.1,1.2,1.0,1.15,0\n")
		62	+ assert t.num_rows == 1 and t.column("timestamp_utc")[0].as_py() == datetime(2026, 10, 30, 13, 30, tzinfo=UTC)
		63	+
		64	+
		65	+def test_daily_layout_with_open_interest_column():
		66	+ t, raw = _parse("2026-10-30,1,2,0.5,1.5,10,1234\n", interval=Interval.d1)
		67	+ assert t.num_rows == 1 and t.column("session_date")[0].as_py() == date(2026, 10, 30)
		68	+
		69	+
		70	+def test_duplicates_are_kept_for_flagging_not_dropped():
		71	+ t, raw = _parse("2026-10-30 09:30:00,1,2,0.5,1.5,10\n2026-10-30 09:30:00,1,2,0.5,1.5,10\n")
		72	+ assert raw == 2 and t.num_rows == 2

added tests/test_redaction.py +29 −0

				@@ -0,0 +1,29 @@
		1	+from __future__ import annotations
		2	+
		3	+import httpx
		4	+import pytest
		5	+
		6	+from findata_core.redact import redact
		7	+from findata_market_firstrate.client import FRDClient, FRDError
		8	+from tests.conftest import TEST_USERID
		9	+
		10	+
		11	+def test_redact_query_params_and_values():
		12	+ s = f"GET https://firstratedata.com/api/last_update?type=stock&userid={TEST_USERID} failed; api_key=abc"
		13	+ out = redact(s, [TEST_USERID])
		14	+ assert TEST_USERID not in out and "api_key=<REDACTED>" in out and "userid=<REDACTED>" in out
		15	+
		16	+
		17	+def test_client_never_leaks_userid_in_errors(vendor):
		18	+ c = FRDClient(TEST_USERID, min_interval_s=0)
		19	+ assert TEST_USERID not in c.sanitized_url("last_update", {"type": "stock"})
		20	+ with pytest.raises(FRDError) as ei:
		21	+ c._get_text("does_not_exist", {"type": "stock"})
		22	+ assert TEST_USERID not in str(ei.value)
		23	+
		24	+
		25	+def test_settings_repr_hides_secrets():
		26	+ from findata_core.config import get_settings
		27	+ s = get_settings()
		28	+ assert TEST_USERID not in repr(s) and TEST_USERID not in str(s.model_dump())
		29	+ assert TEST_USERID in s.secret_values()

added tests/test_validators_aggregate.py +108 −0

				@@ -0,0 +1,108 @@
		1	+from __future__ import annotations
		2	+
		3	+from datetime import UTC, date, datetime
		4	+from pathlib import Path
		5	+
		6	+import pyarrow as pa
		7	+
		8	+from findata_market_firstrate.archive import parse_bar_file
		9	+from findata_quality import aggregate_bars, validate_bars
		10	+from findata_quality.calendar import xnys
		11	+from findata_quality.validators import session_coverage
		12	+from findata_schema import Adjustment, AssetClass, Interval, QualityFlag
		13	+
		14	+FIX = Path(__file__).parent / "fixtures" / "firstrate"
		15	+NOW = datetime(2026, 11, 1, 12, 0, tzinfo=UTC)
		16	+
		17	+
		18	+def _parse(text: str, symbol="TEST"):
		19	+ return parse_bar_file(text.encode(), symbol, AssetClass.stock, Interval.m1, Adjustment.raw, "firstrate", NOW)[0]
		20	+
		21	+
		22	+def _flags(t):
		23	+ return [set(f) for f in t.column("quality_flags").to_pylist()]
		24	+
		25	+
		26	+def test_clean_real_session_has_no_error_flags():
		27	+ t = parse_bar_file((FIX / "AAPL_day_1min_UNADJUSTED.txt").read_bytes(), "AAPL", AssetClass.stock, Interval.m1, Adjustment.raw, "firstrate", NOW)[0]
		28	+ out, anomalies = validate_bars(t, Interval.m1)
		29	+ errors = [a for a in anomalies if a["severity"] == "error"]
		30	+ assert errors == []
		31	+ assert out.num_rows == 900
		32	+
		33	+
		34	+def test_row_level_flags():
		35	+ rows = "\n".join([
		36	+ "2026-10-30 09:30:00,10,9,8,9.5,100", # high < open → ohlc_inconsistent
		37	+ "2026-10-30 09:31:00,10,11,9,10,-5", # negative volume
		38	+ "2026-10-30 09:32:30,10,11,9,10,5", # off interval grid
		39	+ "2026-10-30 09:33:00,10,11,9,10,5",
		40	+ "2026-10-30 09:33:00,10,11,9,10,5", # duplicate
		41	+ "2026-10-30 03:59:00,10,11,9,10,5", # before 04:00 ET → outside_session
		42	+ "2026-10-30 09:34:00,10,20,9,15,5", # +50 % vs previous close → price_jump
		43	+ "2026-10-30 09:35:00,0,0,0,0,5", # nonpositive price
		44	+ "2026-11-01 09:30:00,10,11,9,10,5", # Sunday → non_trading_day
		45	+ ])
		46	+ out, anomalies = validate_bars(_parse(rows), Interval.m1)
		47	+ by_ts = {r["timestamp_utc"]: set(r["quality_flags"]) for r in out.to_pylist()}
		48	+ f = lambda h, m, d=30: by_ts[datetime(2026, 10, d, h, m, tzinfo=UTC)] # noqa: E731
		49	+ assert QualityFlag.ohlc_inconsistent in f(13, 30)
		50	+ assert QualityFlag.negative_volume in f(13, 31)
		51	+ assert any(QualityFlag.off_interval in v for v in by_ts.values())
		52	+ assert QualityFlag.duplicate in f(13, 33)
		53	+ assert QualityFlag.outside_session in f(7, 59)
		54	+ assert QualityFlag.price_jump in f(13, 34)
		55	+ assert QualityFlag.nonpositive_price in f(13, 35)
		56	+ assert QualityFlag.non_trading_day in by_ts[datetime(2026, 11, 1, 14, 30, tzinfo=UTC)]
		57	+ codes = {a["code"] for a in anomalies}
		58	+ assert {"ohlc_inconsistent", "negative_volume", "duplicate", "non_trading_day"} <= codes
		59	+ # prices are never altered by validation
		60	+ assert out.column("open").to_pylist()[0] == 10.0
		61	+
		62	+
		63	+def test_session_calendar_expected_bars_and_early_close():
		64	+ cal = xnys()
		65	+ assert cal.is_session(date(2026, 10, 30)) and not cal.is_session(date(2026, 11, 1))
		66	+ assert not cal.is_session(date(2026, 11, 26)) # Thanksgiving
		67	+ assert cal.expected_regular_bars(date(2026, 10, 30)) == 391 # 09:30..16:00 inclusive
		68	+ assert cal.expected_regular_bars(date(2026, 11, 27)) == 211 # early close 13:00
		69	+ assert cal.expected_regular_bars(date(2026, 11, 1)) == 0
		70	+
		71	+
		72	+def test_session_coverage_rows():
		73	+ t = parse_bar_file((FIX / "A_day_1min_UNADJUSTED.txt").read_bytes(), "A", AssetClass.stock, Interval.m1, Adjustment.raw, "firstrate", NOW)[0]
		74	+ cov = session_coverage(t, Interval.m1)
		75	+ assert len(cov) == 1 and cov[0]["symbol"] == "A" and cov[0]["bar_count"] == 390 and cov[0]["expected_bars"] == 391
		76	+
		77	+
		78	+def test_aggregate_5m_matches_manual_expectation():
		79	+ t = parse_bar_file((FIX / "AAPL_day_1min_UNADJUSTED.txt").read_bytes(), "AAPL", AssetClass.stock, Interval.m1, Adjustment.raw, "firstrate", NOW)[0]
		80	+ agg = aggregate_bars(t, Interval.m5)
		81	+ import polars as pl
		82	+ one = pl.from_arrow(t).sort("timestamp_utc")
		83	+ five = pl.from_arrow(agg).sort("timestamp_utc")
		84	+ # 09:30 ET bucket = 13:30 UTC covers 13:30..13:34
		85	+ win = one.filter((pl.col("timestamp_utc") >= datetime(2026, 10, 30, 13, 30, tzinfo=UTC)) & (pl.col("timestamp_utc") < datetime(2026, 10, 30, 13, 35, tzinfo=UTC)))
		86	+ b = five.filter(pl.col("timestamp_utc") == datetime(2026, 10, 30, 13, 30, tzinfo=UTC)).row(0, named=True)
		87	+ assert b["open"] == win["open"][0] and b["close"] == win["close"][-1]
		88	+ assert b["high"] == win["high"].max() and b["low"] == win["low"].min()
		89	+ assert abs(b["volume"] - win["volume"].sum()) < 1e-6 and b["trade_count"] == 5
		90	+ assert b["interval"] == "5m" and b["session_date"] == date(2026, 10, 30)
		91	+ assert abs(five["volume"].sum() - one["volume"].sum()) < 1e-6 # volume conserved
		92	+ assert five.height <= 16 * 12 # 04:00–20:00 → ≤ 192 buckets, none manufactured
		93	+ assert all(ts.minute % 5 == 0 for ts in five["timestamp_utc"].to_list())
		94	+
		95	+
		96	+def test_aggregate_buckets_follow_wall_clock_across_dst():
		97	+ # 09:30 EST (14:30 UTC) and 09:30 EDT (13:30 UTC) must each start a bucket
		98	+ t = _parse("2026-03-06 09:31:00,1,1,1,1,1\n2026-03-06 09:34:00,2,2,2,2,1\n2026-03-09 09:31:00,3,3,3,3,1\n2026-03-09 09:34:00,4,4,4,4,1\n")
		99	+ agg = aggregate_bars(t, Interval.m5)
		100	+ ts = agg.column("timestamp_utc").to_pylist()
		101	+ assert ts == [datetime(2026, 3, 6, 14, 30, tzinfo=UTC), datetime(2026, 3, 9, 13, 30, tzinfo=UTC)]
		102	+ assert agg.column("open").to_pylist() == [1.0, 3.0] and agg.column("close").to_pylist() == [2.0, 4.0]
		103	+
		104	+
		105	+def test_aggregate_zero_volume_bucket_has_null_vwap():
		106	+ t = _parse("2026-10-30 09:30:00,1,1,1,1,0\n")
		107	+ agg = aggregate_bars(t, Interval.m5)
		108	+ assert agg.column("vwap")[0].as_py() is None

added tests/test_z_api_sdk.py +273 −0

				@@ -0,0 +1,273 @@
		1	+"""API + SDK end-to-end against the in-process app (TestClient) with data published by the ingest task."""
		2	+from __future__ import annotations
		3	+
		4	+import io
		5	+import json
		6	+import time
		7	+from datetime import UTC, date, datetime
		8	+
		9	+import httpx
		10	+import pyarrow.ipc as ipc
		11	+import pyarrow.parquet as pq
		12	+import pyotp
		13	+import pytest
		14	+from fastapi.testclient import TestClient
		15	+
		16	+from findata_api import auth as A
		17	+from findata_core.db import connection, fetch_one, transaction
		18	+from findata_ingest import queue
		19	+from findata_ingest.tasks import incremental, metadata
		20	+from tests.conftest import TEST_USERID
		21	+
		22	+OWNER = "owner@example.com"
		23	+PW = "correct horse battery staple"
		24	+
		25	+
		26	+@pytest.fixture(scope="module")
		27	+def app_client(vendor_module, lake_module):
		28	+ from findata_api.main import create_app
		29	+ # make sure one session of bars exists (tests may run in isolation)
		30	+ n = fetch_one("SELECT count(*) AS n FROM lake_files WHERE dataset_id='market_bars.stock.1m.raw' AND version_removed IS NULL")["n"]
		31	+ if n == 0:
		32	+ class L:
		33	+ def __getattr__(self, _):
		34	+ return lambda *a, **k: None
		35	+ def bind(self, **k):
		36	+ return self
		37	+ jid = queue.enqueue("metadata", None, {"types": ["stock", "etf"]})
		38	+ metadata.run(queue.claim_next(["metadata"]), lake_module, L())
		39	+ queue.enqueue("incremental", "market_bars.stock.1m.raw", {"type": "stock", "period": "day", "force": True})
		40	+ incremental.run(queue.claim_next(["incremental"]), lake_module, L())
		41	+ if fetch_one("SELECT count(*) AS n FROM lake_files WHERE dataset_id='market_bars.stock.5m.raw' AND version_removed IS NULL")["n"] == 0:
		42	+ from findata_ingest.tasks import derive
		43	+ class L2:
		44	+ def __getattr__(self, _):
		45	+ return lambda *a, **k: None
		46	+ def bind(self, **k):
		47	+ return self
		48	+ j = queue.claim_next(["derive"]) or (queue.enqueue("derive", "market_bars.stock.5m.raw", {"source_dataset": "market_bars.stock.1m.raw", "target_interval": "5m", "dates": ["2026-10-30"]}) and queue.claim_next(["derive"]))
		49	+ derive.run(j, lake_module, L2())
		50	+ A.create_owner(OWNER, PW)
		51	+ app = create_app()
		52	+ with TestClient(app, base_url="http://testserver") as c:
		53	+ yield c
		54	+
		55	+
		56	+@pytest.fixture(scope="module")
		57	+def vendor_module():
		58	+ from tests.conftest import VendorMock
		59	+ import findata_market_firstrate.client as C
		60	+ import findata_fundamentals.firstrate as F
		61	+ vm = VendorMock()
		62	+ old = (C.DEFAULT_TRANSPORT, F.DEFAULT_TRANSPORT)
		63	+ C.DEFAULT_TRANSPORT = httpx.MockTransport(vm)
		64	+ F.DEFAULT_TRANSPORT = httpx.MockTransport(vm)
		65	+ yield vm
		66	+ C.DEFAULT_TRANSPORT, F.DEFAULT_TRANSPORT = old
		67	+
		68	+
		69	+@pytest.fixture(scope="module")
		70	+def lake_module():
		71	+ from findata_ingest.lake import Lake
		72	+ return Lake()
		73	+
		74	+
		75	+def _login(c: TestClient) -> str:
		76	+ r = c.post("/api/v1/auth/login", json={"email": OWNER, "password": PW})
		77	+ assert r.status_code == 200, r.text
		78	+ return r.json()["csrf_token"]
		79	+
		80	+
		81	+def test_unauthenticated_access_fails(app_client):
		82	+ c = app_client
		83	+ for path in ["/api/v1/catalog/datasets", "/api/v1/market/bars?symbol=AAPL&start=2026-10-30&end=2026-10-30", "/api/v1/admin/jobs", "/api/v1/query/views"]:
		84	+ r = c.get(path)
		85	+ assert r.status_code == 401, path
		86	+ assert r.json()["error"]["code"] == "unauthenticated" and r.headers["x-request-id"]
		87	+ assert c.post("/api/v1/query", json={"sql": "select 1"}).status_code == 401
		88	+ assert c.get("/api/v1/health").json() == {"status": c.get("/api/v1/health").json()["status"], "service": "findata-os"}
		89	+ r = c.get("/api/v1/market/bars", params={"symbol": "AAPL", "start": "2026-10-30", "end": "2026-10-30"}, headers={"Authorization": "Bearer fd_bad.token"})
		90	+ assert r.status_code == 401 and r.json()["error"]["code"] == "invalid_api_key"
		91	+
		92	+
		93	+def test_login_bad_password_then_good_then_csrf(app_client):
		94	+ c = app_client
		95	+ r = c.post("/api/v1/auth/login", json={"email": OWNER, "password": "nope"})
		96	+ assert r.status_code == 401
		97	+ csrf = _login(c)
		98	+ me = c.get("/api/v1/auth/me").json()
		99	+ assert me["email"] == OWNER and me["role"] == "owner" and "admin" in me["scopes"] and me["totp_enabled"] is False
		100	+ # state-changing call without CSRF header is refused
		101	+ r = c.post("/api/v1/admin/jobs", json={"kind": "quality"})
		102	+ assert r.status_code == 403 and r.json()["error"]["code"] == "csrf"
		103	+ r = c.post("/api/v1/admin/jobs", json={"kind": "quality"}, headers={"X-CSRF-Token": csrf})
		104	+ assert r.status_code == 201
		105	+ with transaction() as conn:
		106	+ conn.execute("UPDATE ingest_jobs SET status='cancelled' WHERE kind='quality' AND status='queued'")
		107	+
		108	+
		109	+def test_totp_enrolment_and_mfa_gate(app_client):
		110	+ c = app_client
		111	+ csrf = _login(c)
		112	+ r = c.post("/api/v1/auth/totp/setup", headers={"X-CSRF-Token": csrf})
		113	+ assert r.status_code == 200 and r.json()["otpauth_uri"].startswith("otpauth://totp/")
		114	+ secret = r.json()["secret"]
		115	+ r = c.post("/api/v1/auth/totp/verify", json={"code": "000000"}, headers={"X-CSRF-Token": csrf})
		116	+ assert r.status_code == 400
		117	+ r = c.post("/api/v1/auth/totp/verify", json={"code": pyotp.TOTP(secret).now()}, headers={"X-CSRF-Token": csrf})
		118	+ assert r.status_code == 200 and r.json()["totp_enabled"]
		119	+ # new login now requires MFA
		120	+ r = c.post("/api/v1/auth/login", json={"email": OWNER, "password": PW})
		121	+ assert r.json()["mfa_required"] is True
		122	+ csrf = r.json()["csrf_token"]
		123	+ assert c.get("/api/v1/catalog/datasets").status_code == 401 # mfa_required
		124	+ r = c.post("/api/v1/auth/mfa", json={"code": "123456"}, headers={"X-CSRF-Token": csrf})
		125	+ assert r.status_code == 401
		126	+ r = c.post("/api/v1/auth/mfa", json={"code": pyotp.TOTP(secret).now()}, headers={"X-CSRF-Token": csrf})
		127	+ assert r.status_code == 200
		128	+ assert c.get("/api/v1/catalog/datasets").status_code == 200
		129	+ # disable TOTP again for the remaining tests (keep the flow simple)
		130	+ with transaction() as conn:
		131	+ conn.execute("UPDATE users SET totp_enabled=false WHERE email=%s", (OWNER,))
		132	+
		133	+
		134	+@pytest.fixture(scope="module")
		135	+def api_key(app_client):
		136	+ csrf = _login(app_client)
		137	+ r = app_client.post("/api/v1/admin/keys", json={"name": "sdk-test", "scopes": ["read:market", "read:fundamentals", "query", "export"]},
		138	+ headers={"X-CSRF-Token": csrf})
		139	+ assert r.status_code == 201, r.text
		140	+ tok = r.json()["token"]
		141	+ app_client.cookies.clear()
		142	+ return tok
		143	+
		144	+
		145	+def test_api_key_scopes_and_bars(app_client, api_key):
		146	+ c = app_client
		147	+ H = {"Authorization": f"Bearer {api_key}"}
		148	+ assert c.get("/api/v1/admin/jobs", headers=H).status_code == 403 # no admin scope
		149	+ r = c.get("/api/v1/catalog/datasets", headers=H)
		150	+ assert r.status_code == 200
		151	+ ds = {d["id"]: d for d in r.json()["data"]}
		152	+ assert ds["market_bars.stock.1m.raw"]["status"] == "active" and ds["market_ticks"]["status"] == "unsupported"
		153	+ assert ds["fundamentals.sec_companyfacts"]["status"] == "pending_configuration"
		154	+ assert "no redistribution" in ds["market_bars.stock.1m.raw"]["license_text"].lower() or "may not be redistributed" in ds["market_bars.stock.1m.raw"]["license_text"]
		155	+ r = c.get("/api/v1/market/bars", params={"symbol": "aapl", "interval": "1m", "start": "2026-10-30", "end": "2026-10-30", "limit": 400}, headers=H)
		156	+ assert r.status_code == 200, r.text
		157	+ body = r.json()
		158	+ assert body["meta"]["rows"] == 400 and body["meta"]["rows_matching"] == 900 and body["next_cursor"]
		159	+ assert body["data"][0]["timestamp_utc"] == "2026-10-30T08:00:00Z" and body["meta"]["timestamp_convention"] == "bar_open"
		160	+ assert r.headers["X-Dataset-Version"].isdigit() and r.headers["X-Dataset-Id"] == "market_bars.stock.1m.raw"
		161	+ r2 = c.get("/api/v1/market/bars", params={"symbol": "AAPL", "start": "2026-10-30", "end": "2026-10-30", "limit": 400, "cursor": body["next_cursor"]}, headers=H)
		162	+ assert r2.json()["data"][0]["timestamp_utc"] > body["data"][-1]["timestamp_utc"]
		163	+ # 5-minute derived
		164	+ r = c.get("/api/v1/market/bars", params={"symbol": "AAPL", "interval": "5m", "start": "2026-10-30", "end": "2026-10-30"}, headers=H)
		165	+ assert r.status_code == 200 and 150 <= r.json()["meta"]["rows_matching"] <= 192
		166	+ # unbounded range refused
		167	+ r = c.get("/api/v1/market/bars", params={"symbol": "AAPL", "start": "2020-01-01", "end": "2026-10-30"}, headers=H)
		168	+ assert r.status_code == 413 and r.json()["error"]["code"] == "range_too_large"
		169	+ # arrow transport
		170	+ r = c.get("/api/v1/market/bars", params={"symbol": "AAPL", "start": "2026-10-30", "end": "2026-10-30", "format": "arrow", "limit": 10000}, headers=H)
		171	+ with ipc.open_stream(io.BytesIO(r.content)) as reader:
		172	+ t = reader.read_all()
		173	+ assert t.num_rows == 900
		174	+ # sessions / coverage / quality
		175	+ assert c.get("/api/v1/market/sessions", params={"symbol": "AAPL"}, headers=H).json()["data"][0]["bar_count"] == 900
		176	+ assert c.get("/api/v1/coverage/heatmap", params={"start": "2026-10-01", "end": "2026-10-31"}, headers=H).json()["sessions"][0]["symbols"] == 3
		177	+ assert "codes" in c.get("/api/v1/quality", headers=H).json()
		178	+ assert c.get("/api/v1/instruments", params={"query": "aap"}, headers=H).json()["data"][0]["symbol"] == "AAPL"
		179	+
		180	+
		181	+def test_fundamentals_as_of_hides_later_filings_and_restatements(app_client, api_key):
		182	+ c = app_client
		183	+ H = {"Authorization": f"Bearer {api_key}"}
		184	+ with transaction() as conn:
		185	+ conn.execute("DELETE FROM fundamentals_facts WHERE entity_id='frd:TESTCO'")
		186	+ # Q1 filed 2025-05-01 (available 2025-05-02 04:00Z), Q2 filed 2025-08-01 ; Q1 'rev' restated later (observed 2026-01-15)
		187	+ rows = [
		188	+ ("rev", 100.0, date(2025, 3, 31), date(2025, 5, 1), datetime(2025, 5, 2, 4, tzinfo=UTC), datetime(2025, 5, 2, 12, tzinfo=UTC), 1, False, datetime(2026, 1, 15, tzinfo=UTC)),
		189	+ ("rev", 105.0, date(2025, 3, 31), date(2025, 5, 1), datetime(2025, 5, 2, 4, tzinfo=UTC), datetime(2026, 1, 15, tzinfo=UTC), 2, True, None),
		190	+ ("rev", 120.0, date(2025, 6, 30), date(2025, 8, 1), datetime(2025, 8, 2, 4, tzinfo=UTC), datetime(2025, 8, 2, 12, tzinfo=UTC), 1, False, None),
		191	+ ]
		192	+ for m, v, pe, fd, av, ob, rev, rs, sup in rows:
		193	+ conn.execute("INSERT INTO fundamentals_facts(entity_id, metric, value, unit, fiscal_period_end, fiscal_period_type, filing_date, available_at, observed_at, source_id, revision_id, restatement_flag, superseded_at) "
		194	+ "VALUES ('frd:TESTCO',%s,%s,'USD',%s,'q',%s,%s,%s,'firstrate_fundamentals',%s,%s,%s)", (m, v, pe, fd, av, ob, rev, rs, sup))
		195	+ # as of 2025-06-01: only Q1, original value 100 (restatement observed 2026-01 must not leak)
		196	+ r = c.get("/api/v1/fundamentals/TESTCO", params={"as_of": "2025-06-01T00:00:00Z", "metrics": "rev"}, headers=H)
		197	+ assert r.status_code == 200, r.text
		198	+ d = r.json()["data"]
		199	+ assert len(d) == 1 and d[0]["value"] == 100.0 and d[0]["revision_id"] == 1 and r.json()["meta"]["facts_hidden_by_as_of"] == 1
		200	+ # as of 2025-08-01 (filing day itself): Q2 not yet available (policy: next day)
		201	+ d = c.get("/api/v1/fundamentals/TESTCO", params={"as_of": "2025-08-01T20:00:00Z", "metrics": "rev"}, headers=H).json()["data"]
		202	+ assert [x["fiscal_period_end"] for x in d] == ["2025-03-31"]
		203	+ # as of 2025-08-02 05:00Z: Q2 visible
		204	+ d = c.get("/api/v1/fundamentals/TESTCO", params={"as_of": "2025-08-02T05:00:00Z", "metrics": "rev"}, headers=H).json()["data"]
		205	+ assert sorted(x["value"] for x in d) == [100.0, 120.0]
		206	+ # as of now: restated Q1 value 105 (revision 2) is the current knowledge
		207	+ d = c.get("/api/v1/fundamentals/TESTCO", params={"metrics": "rev"}, headers=H).json()["data"]
		208	+ assert sorted(x["value"] for x in d) == [105.0, 120.0] and any(x["restatement_flag"] for x in d)
		209	+
		210	+
		211	+def test_query_sandbox_and_quotas(app_client, api_key):
		212	+ c = app_client
		213	+ H = {"Authorization": f"Bearer {api_key}"}
		214	+ r = c.post("/api/v1/query", json={"sql": "SELECT symbol_as_reported s, count(*) n FROM market_bars_stock_1m_raw GROUP BY 1 ORDER BY 1", "max_rows": 10}, headers=H)
		215	+ assert r.status_code == 200, r.text
		216	+ rows = {x["s"]: x["n"] for x in r.json()["rows"]}
		217	+ assert rows["AAPL"] == 900 and r.json()["meta"]["engine"].startswith("duckdb")
		218	+ for bad in ["DROP TABLE x", "SELECT 1; SELECT 2", "SELECT * FROM read_csv('/etc/passwd')", "COPY (SELECT 1) TO '/tmp/x'"]:
		219	+ r = c.post("/api/v1/query", json={"sql": bad}, headers=H)
		220	+ assert r.status_code == 400 and r.json()["error"]["code"] in ("query_rejected", "query_error"), bad
		221	+ with connection() as conn:
		222	+ u = conn.execute("SELECT * FROM usage_daily WHERE principal LIKE 'api_key:%'").fetchall()
		223	+ assert u and u[0]["requests"] > 0 and u[0]["rows_returned"] > 0
		224	+
		225	+
		226	+def test_export_roundtrip_and_sdk(app_client, api_key):
		227	+ c = app_client
		228	+ from findata_sdk import FinData
		229	+ import threading
		230	+ import uvicorn
		231	+ # the sync SDK needs a real HTTP server: run uvicorn on a loopback port in a thread
		232	+ config = uvicorn.Config(c.app, host="127.0.0.1", port=8699, log_level="warning")
		233	+ server = uvicorn.Server(config)
		234	+ th = threading.Thread(target=server.run, daemon=True)
		235	+ th.start()
		236	+ for _ in range(100):
		237	+ if server.started:
		238	+ break
		239	+ time.sleep(0.05)
		240	+ sdk = FinData("http://127.0.0.1:8699", api_key=api_key)
		241	+ t = sdk.bars("AAPL", "1m", "2026-10-30", "2026-10-30")
		242	+ assert t.num_rows == 900 and t.column("close")[0].as_py() == 351.6499
		243	+ assert sdk.datasets() and sdk.health()["status"] in ("ok", "warning", "degraded")
		244	+ f = sdk.fundamentals("TESTCO", as_of="2025-06-01T00:00:00Z", metrics=["rev"])
		245	+ assert f["data"][0]["value"] == 100.0
		246	+ out = sdk.export(["AAPL", "A"], "2026-10-01", "2026-10-30", dest="/tmp/findata-test-export.parquet", poll_s=0.2, timeout_s=60)
		247	+ pt = pq.read_table(out)
		248	+ assert pt.num_rows == 900 + 390 and set(pt.column("symbol_as_reported").unique().to_pylist()) == {"AAPL", "A"}
		249	+ H = {"Authorization": f"Bearer {api_key}"}
		250	+ lst = c.get("/api/v1/exports", headers=H).json()["data"]
		251	+ assert lst[0]["status"] == "ready" and lst[0]["snapshot"]["dataset_id"] == "market_bars.stock.1m.raw" and lst[0]["expires_at"]
		252	+ server.should_exit = True
		253	+ th.join(timeout=5)
		254	+
		255	+
		256	+def test_vendor_secret_never_in_responses_or_openapi(app_client, api_key):
		257	+ c = app_client
		258	+ H = {"Authorization": f"Bearer {api_key}"}
		259	+ csrf = _login(c)
		260	+ blobs = [c.get("/api/v1/openapi.json").text, c.get("/api/v1/catalog/datasets", headers=H).text, c.get("/api/v1/catalog/sources", headers=H).text,
		261	+ c.get("/api/v1/admin/settings").text, c.get("/api/v1/admin/storage").text, c.get("/api/v1/admin/audit").text, c.get("/api/v1/admin/jobs").text,
		262	+ c.get("/api/v1/health").text, c.get("/api/v1/health/summary").text]
		263	+ for b in blobs:
		264	+ assert TEST_USERID not in b
		265	+ # raw_archives request payloads are sanitized
		266	+ with connection() as conn:
		267	+ raws = conn.execute("SELECT request::text r FROM raw_archives").fetchall()
		268	+ jobs = conn.execute("SELECT coalesce(last_error,'') e, result::text r FROM ingest_jobs").fetchall()
		269	+ assert all(TEST_USERID not in x["r"] for x in raws) and all(TEST_USERID not in x["e"] + x["r"] for x in jobs)
		270	+ # security headers present
		271	+ r = c.get("/api/v1/health")
		272	+ assert r.headers["X-Content-Type-Options"] == "nosniff" and r.headers["X-Frame-Options"] == "DENY" and "default-src 'self'" in r.headers["Content-Security-Policy"]
		273	+ assert c.get("/api/docs").status_code == 200

added uv.lock +2198 −0

				@@ -0,0 +1,2198 @@
		1	+version = 1
		2	+revision = 3
		3	+requires-python = ">=3.12"
		4	+resolution-markers = [
		5	+ "python_full_version >= '3.14' and sys_platform == 'win32'",
		6	+ "python_full_version >= '3.14' and sys_platform == 'emscripten'",
		7	+ "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
		8	+ "python_full_version < '3.14' and sys_platform == 'win32'",
		9	+ "python_full_version < '3.14' and sys_platform == 'emscripten'",
		10	+ "python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
		11	+]
		12	+
		13	+[manifest]
		14	+members = [
		15	+ "findata-api",
		16	+ "findata-core",
		17	+ "findata-fundamentals",
		18	+ "findata-ingest",
		19	+ "findata-market-firstrate",
		20	+ "findata-os",
		21	+ "findata-quality",
		22	+ "findata-schema",
		23	+ "findata-sdk",
		24	+]
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