feat(etl,ml): orchestre l'entrainement et le scoring LightGBM via deux DAGs Airflow
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[project]
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name = "enervision-airflow"
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version = "0.1.0"
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description = "DAGs d'orchestration EnerVision (Airflow)"
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requires-python = ">=3.12,<3.13"
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dependencies = [
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"apache-airflow==2.10.4",
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]
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[dependency-groups]
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dev = [
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"ruff>=0.16.7",
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"pytest>=9.1.1",
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]
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[tool.uv]
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package = false
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[tool.ruff]
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line-length = 100
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target-version = "py312"
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src = ["dags", "tests"]
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[tool.ruff.lint]
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select = ["E", "W", "F", "I", "N", "UP", "B", "SIM", "RUF"]
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[tool.ruff.format]
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quote-style = "double"
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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addopts = "-q"
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