# UQO WP 27 — The Invisible Hand of Machines. One-command no-API replication: `make replicate`.
PY ?= .venv/bin/python
W  ?= 6

.PHONY: all setup test smoke calibrate scale classical pilot confirmatory library figures tables paper replicate clean

all: test classical figures tables paper

setup:
	uv sync --extra dev

test:
	$(PY) -m pytest tests -q

smoke:                                      # 100 agents, fixed seed, zero paid calls, accounting verified
	$(PY) scripts/smoke_test.py

calibrate:
	$(PY) scripts/10_calibration_sweep.py

scale:
	$(PY) scripts/11_scale_benchmark.py

classical:                                  # 16 cells x 30 matched seeds, no API
	$(PY) -m market_agents.cli design configs/classical_confirmatory.yaml --workers $(W) --root results/runs
	$(PY) -m market_agents.cli design configs/exploratory.yaml --workers $(W) --root results/runs

pilot:                                      # paid: ~3 USD (OpenAI). Requires OPENAI_API_KEY in .env
	$(PY) -m market_agents.cli budget configs/pilot_openai.yaml
	$(PY) -m market_agents.cli design configs/pilot_openai.yaml --workers 3 --cache results/cache/llm_cache.sqlite --root results/runs

confirmatory:                               # paid: ~30 USD (OpenAI)
	$(PY) -m market_agents.cli budget configs/confirmatory_openai.yaml
	$(PY) -m market_agents.cli design configs/confirmatory_openai.yaml --workers 5 --cache results/cache/llm_cache.sqlite --root results/runs

library:                                    # frozen decision library from recorded runs + replay at N = 1,000 (no API)
	$(PY) scripts/60_frozen_library.py

theory:
	$(PY) scripts/90_theory_checks.py

figures:
	$(PY) scripts/40_figures.py

tables:
	$(PY) scripts/50_tables.py
	mkdir -p paper/figures paper/tables
	cp results/figures/*.pdf paper/figures/
	cp results/tables/*.tex paper/tables/

paper: tables
	cd paper && latexmk -pdf main.tex

replicate: test smoke classical theory figures tables   # everything that needs no API key

clean:
	cd paper && latexmk -C