[project]
name = "customer-churn-mlops"
version = "0.1.0"
description = "Customer churn prediction MLOps platform"
requires-python = ">=3.10,<3.12"

dependencies = [
    # Core data / ML
    "pandas>=2.0",
    "numpy>=1.26",
    "scikit-learn>=1.4",
    "xgboost>=2.0",
    "lightgbm>=4.3",
    "catboost>=1.2",
    "imbalanced-learn>=0.12",
    "optuna>=3.6",
    "shap>=0.45",
    # MLflow
    "mlflow>=2.13",
    # API
    "fastapi>=0.111",
    "uvicorn[standard]>=0.30",
    "pydantic>=2.7",
    "pydantic-settings>=2.3",
    "httpx>=0.27",
    "prometheus-fastapi-instrumentator>=7.0",
    # UI
    "streamlit>=1.35",
    "requests>=2.32",
    # Monitoring
    "evidently==0.7.21",
    # Visualisation (dev/notebook)
    "matplotlib>=3.8",
    # Data validation
    "pandera>=0.19",
    # GenAI — OpenAI-compatible client used for Gemini and Groq endpoints
    "openai>=1.0",
    # RAG — semantic search over the retention-playbook corpus
    "sentence-transformers>=2.7",
    "faiss-cpu>=1.8",
    # Data versioning — DVC with S3-compatible remote (used for DagsHub dataset storage)
    "dvc>=3.0",
    "dvc-s3>=3.0",
]

[project.optional-dependencies]
nn = [
    "torch>=2.3",
]
dev = [
    "pytest>=8.2",
    "ruff>=0.4",
    "jupyter>=1.0",
    "nbconvert>=7.0",
    "ipykernel>=6.0",
    "seaborn>=0.13",
    "locust>=2.29",
]

[dependency-groups]
dev = [
    "pytest>=8.2",
    "ruff>=0.4",
    "jupyter>=1.0",
    "nbconvert>=7.0",
    "ipykernel>=6.0",
    "seaborn>=0.13",
    "locust>=2.29",
]

[tool.ruff]
line-length = 100
target-version = "py311"
# Only lint new Tier-1 code; existing modules are linted by their own future PRs.
include = ["churn/**/*.py", "tests/test_churn_*.py", "api/**/*.py", "tests/test_api.py"]

[tool.ruff.lint]
select = ["E", "F", "W", "I"]
ignore = ["E501"]

[tool.pytest.ini_options]
pythonpath = ["."]
testpaths = ["tests"]