swadhinbiswas Wire Hugging Face dataset docs, card generator and repo defaults · 9/16/2026
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.PHONY: setup bootstrap run test lint format dashboard dbt api streamlit verify quality clean dbt-docs dbt-test web web-data web-build web-install collector collector-once sink sink-loop live lake-pull-silver lake-push-silver hf-card hf-card-push motherduck reference-data
PYTHON ?= .venv/bin/python
setup:
uv venv --python 3.12 --clear
uv pip install -e ".[dev]"
bootstrap: setup
mkdir -p warehouse/raw warehouse/bronze warehouse/silver warehouse/gold warehouse/quarantine warehouse/checkpoints
cp -n .env.example .env || true
@echo "Bootstrap complete. Dirs created."
# ── Pipeline commands ─────────────────────────────────────────────────────────
run:
$(PYTHON) -m pipelines.orchestrator
run-full: run dbt
# ── VPS collector + live API ──────────────────────────────────────────────────
collector:
$(PYTHON) -m services.collector
collector-once:
$(PYTHON) -m services.collector --once
live:
$(PYTHON) -m services.collector --no-api
# ── Kafka sink (Kafka → Bronze Parquet → Hugging Face) ────────────────────────
sink:
$(PYTHON) -m services.sink
sink-loop:
$(PYTHON) -m services.sink --loop
# ── Lake / warehouse publishing ───────────────────────────────────────────────
lake-pull-bronze:
$(PYTHON) -m scripts.lake_sync pull-bronze
lake-pull-silver:
$(PYTHON) -m scripts.lake_sync pull-silver
lake-push-silver:
$(PYTHON) -m scripts.lake_sync push-silver
motherduck:
$(PYTHON) -m scripts.publish_motherduck
# Regenerate the aircraft/operator reference data used by the classifier.
reference-data:
$(PYTHON) -m scripts.build_reference_data
# ── Hugging Face dataset card ─────────────────────────────────────────────────
# Render the Hub README locally, or push it (needs HF_TOKEN; refuses anything
# but swadhinbiswas/air-traffic and refuses private repos).
hf-card:
$(PYTHON) -m scripts.hf_dataset_card
hf-card-push:
$(PYTHON) -m scripts.hf_dataset_card --push
# ── API & Dashboard ───────────────────────────────────────────────────────────
api:
$(PYTHON) -m uvicorn apps.main:app --host 0.0.0.0 --port 8000 --reload
streamlit:
$(PYTHON) -m streamlit run streamlit_app.py --server.port 8501
dashboard:
$(PYTHON) -m scripts.build_dashboard
# ── React dashboard (God's Eye View) ──────────────────────────────────────────
# Runtime data: the app reads from the API. `web-data` only generates the
# optional offline bundle for a fully static deployment.
web-data:
$(PYTHON) -m scripts.build_web_bundle
web-install:
cd web && npm install
web:
cd web && npm run dev
web-build:
cd web && npm run build
# ── dbt commands ──────────────────────────────────────────────────────────────
dbt:
cd dbt && ../.venv/bin/dbt build --profiles-dir .
dbt-test:
cd dbt && ../.venv/bin/dbt test --profiles-dir .
dbt-docs:
cd dbt && ../.venv/bin/dbt docs generate --profiles-dir . && ../.venv/bin/dbt docs serve --profiles-dir .
dbt-freshness:
cd dbt && ../.venv/bin/dbt source freshness --profiles-dir .
# ── Development ──────────────────────────────────────────────────────────────
test:
$(PYTHON) -m pytest tests/ -v
lint:
$(PYTHON) -m ruff check .
format:
$(PYTHON) -m ruff check --fix .
$(PYTHON) -m ruff format .
typecheck:
$(PYTHON) -m mypy config ingestion pipelines apps scripts --ignore-missing-imports
verify: lint typecheck test
quality:
$(PYTHON) -m pipelines.quality
quality-full: quality dbt-test dbt-freshness
# ── Docker ────────────────────────────────────────────────────────────────────
superset:
docker compose -f docker/docker-compose.yml up -d superset
docker-up:
docker compose -f docker/docker-compose.yml up -d
# ── Cleanup ──────────────────────────────────────────────────────────────────
clean:
rm -rf warehouse/raw warehouse/bronze warehouse/silver warehouse/gold warehouse/quarantine warehouse/checkpoints
rm -f warehouse/*.duckdb warehouse/*.duckdb.wal
clean-all: clean
rm -rf dbt/target dbt/logs