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.PHONY: setup build up down shell clean pull-data build-index smoke eval run-pipeline sync-deps
-include .env
export
NUM_SAMPLES ?= 20
QUESTION ?= What is the ratio of customers who pay in EUR against customers who pay in CZK?
DB_PATH ?= data_minidev/MINIDEV/dev_databases/debit_card_specializing/debit_card_specializing.sqlite
.env:
cp .env.example .env
@echo "Created .env from .env.example — configure API keys."
# -------- LOCAL VIRTUAL ENV --------
setup: .env
@echo "Setting up local venv with uv..."
curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv .venv
uv pip install -r pyproject.toml
@echo "Run: source .venv/bin/activate"
# -------- DOCKER --------
DOCKER_ENV = -e PYTHONPATH=/app/src:/app \
-e GENERATOR_PROVIDER=$(GENERATOR_PROVIDER) \
-e GENERATOR_MODEL=$(GENERATOR_MODEL) \
-e CRITIC_PROVIDER=$(CRITIC_PROVIDER) \
-e CRITIC_MODEL=$(CRITIC_MODEL)
DOCKER_EXEC = docker compose exec $(DOCKER_ENV) llm-eval
build:
docker compose build
up: .env
docker compose up -d
@echo "Use: make shell"
down:
docker compose down
pull-data:
$(DOCKER_EXEC) bash -c "sh scripts/pull_data.sh"
shell:
$(DOCKER_EXEC) bash
sync-deps:
$(DOCKER_EXEC) bash -c "uv pip install -r pyproject.toml --system"
# -------- AgentSQL --------
smoke: sync-deps
$(DOCKER_EXEC) python3 src/smoke_test_agent.py
# -------- Offline index (run once before MasterPipeline) --------
TABLES_JSON ?= data_minidev/MINIDEV/dev_tables.json
DB_ROOT ?= data_minidev/MINIDEV/dev_databases
INDEX_DIR ?= src/text2sql_agent/index
BGE_MODEL ?= BAAI/bge-small-en-v1.5
build-index: sync-deps
$(DOCKER_EXEC) python3 src/build_offline_index.py \
--tables_json $(TABLES_JSON) \
--db_root $(DB_ROOT) \
--output_dir $(INDEX_DIR) \
--model $(BGE_MODEL)
run-pipeline: sync-deps
$(DOCKER_EXEC) python3 src/text2sql_agent/tools/sequential_pipeline.py \
--question "$(QUESTION)" \
--db_path "$(DB_PATH)" \
--top_k 3
eval: sync-deps
@echo "AgentSQL LangGraph (SOTA) | Generator: $(GENERATOR_PROVIDER)/$(GENERATOR_MODEL) | Critic: $(CRITIC_PROVIDER)/$(CRITIC_MODEL)"
$(DOCKER_EXEC) python3 research/benchmark_eval.py --num_samples $(NUM_SAMPLES)
# -------- CLEANUP --------
clean:
rm -rf .venv
find . -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true