90 lines
1.9 KiB
TOML
90 lines
1.9 KiB
TOML
[project]
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name = "enervision-ml"
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version = "0.1.0"
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description = "Pipeline d'entrainement et de scoring du modele de prediction EnerVision (LightGBM)"
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requires-python = ">=3.14,<3.15"
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dependencies = [
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"pandas>=3.0.5",
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"sqlalchemy>=2.0.52",
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"psycopg[binary]>=3.2",
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"lightgbm>=4.6",
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"scikit-learn>=1.7",
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"mlflow>=3.0",
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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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"mypy>=2.3.1",
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"pytest>=9.1.1",
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"pytest-cov>=7.1.0",
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"pandas-stubs>=3.0.5.260914",
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]
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[build-system]
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requires = ["hatchling>=1.32.0"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["enervision_ml"]
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[tool.ruff]
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line-length = 100
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target-version = "py314"
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src = ["enervision_ml", "tests"]
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[tool.ruff.lint]
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select = [
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"E", "W",
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"F",
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"I",
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"N",
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"UP",
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"B",
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"C4",
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"SIM",
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"TID",
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"RUF",
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"S",
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"PT",
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]
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# N806/N803 : `X`/`y` (donnees/cible) est la convention scikit-learn/LightGBM, pas une variable
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# ou un argument mal nomme.
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ignore = ["B008", "N806", "N803"]
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[tool.ruff.lint.per-file-ignores]
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"tests/**/*.py" = ["S101"]
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[tool.ruff.lint.isort]
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known-first-party = ["enervision_ml"]
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[tool.ruff.format]
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quote-style = "double"
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[tool.mypy]
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python_version = "3.14"
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strict = true
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warn_unreachable = true
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[[tool.mypy.overrides]]
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module = ["tests.*"]
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disallow_untyped_defs = false
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[[tool.mypy.overrides]]
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module = ["lightgbm.*", "mlflow.*", "sklearn.*"]
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ignore_missing_imports = true
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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addopts = "-q --strict-markers -m 'not integration' --cov=enervision_ml --cov-report=term-missing"
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markers = ["integration: requiert une base PostgreSQL joignable"]
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# Rapport lu par SonarCloud (`ml/coverage.xml`, cf. sonar-project.properties), meme mecanisme que
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# apps/backend. Pas de seuil ici : celui de la quality gate porte sur le code nouveau.
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[tool.coverage.run]
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source = ["enervision_ml"]
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branch = true
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[tool.coverage.report]
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show_missing = true
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