"""Greenhouse job board — public endpoint used by every `boards.greenhouse.io/<token>` page:
`GET https://boards-api.greenhouse.io/v1/boards/{token}/jobs?content=false` → {"jobs":[{id, title, absolute_url, location:{name}, updated_at,
first_published, departments?, offices?, requisition_id}]}. Verified 2026-09-12 against the `stripe` board (fixture trimmed to 20 jobs)."""
from __future__ import annotations

import re
from collections.abc import Mapping
from typing import Any

from companyatlas.connectors._ats_base import AtsConnector
from companyatlas.connectors._util import parse_date, text_of
from companyatlas.sdk.connector import ConnectorMeta, register
from companyatlas.sdk.models import ExtractedJob
from companyatlas.taxonomy import FetchMode, Surface


@register
class GreenhouseConnector(AtsConnector):
    vendor = "greenhouse"
    token_re = re.compile(r"boards-api\.greenhouse\.io/v1/boards/([a-z0-9_-]+)", re.IGNORECASE)
    meta = ConnectorMeta(connector_id="greenhouse-v1", name="Greenhouse job board", version="1", category=Surface.JOBS_BOARD,
                         fetch_mode=FetchMode.JSON, supports_discovery=False, supports_incremental=True, default_interval_s=6 * 3600,
                         url_pattern=r"boards-api\.greenhouse\.io/v1/boards/", priority=50, pattern_required=True, accept="application/json",
                         description="Public Greenhouse Job Board API (jobs list without descriptions)")

    def parse_jobs(self, data: Any, sensor: Mapping[str, Any]) -> list[ExtractedJob]:
        items = data.get("jobs") if isinstance(data, dict) else data
        out: list[ExtractedJob] = []
        for j in items or []:
            if not isinstance(j, dict) or not j.get("title"):
                continue
            depts = j.get("departments") or []
            offices = j.get("offices") or []
            out.append(ExtractedJob(
                title=str(j["title"]), url=j.get("absolute_url"), external_id=str(j.get("id") or j.get("internal_job_id") or ""),
                department=text_of(depts[0]) if depts else None, location_text=text_of(j.get("location")),
                posted_at=parse_date(j.get("first_published") or j.get("updated_at")),
                raw={"requisition_id": j.get("requisition_id"), "updated_at": j.get("updated_at"), "offices": [text_of(o) for o in offices][:5],
                     "language": j.get("language")},
            ))
        return out