[project]
name = "wardrobe-os-ml-service"
version = "0.0.1"
description = "ML inference service for Wardrobe OS"
requires-python = ">=3.11"
dependencies = [
    "fastapi>=0.115.0",
    "uvicorn[standard]>=0.32.0",
    "pydantic>=2.10.0",
    "open-clip-torch>=2.29.0",
    "torch>=2.5.0",
    "torchvision>=0.20.0",
    "Pillow>=11.0.0",
    "python-multipart>=0.0.18",
    "psycopg[binary,pool]>=3.2.0",
    "replicate>=1.0.0",
    "transformers>=5.5.0",
    "xgboost>=2.0.0",
    "scikit-learn>=1.4.0",
    "joblib>=1.3.0",
    "chronos-forecasting>=2.0.0",
    "timesfm>=1.3.0",
    "pytrends>=4.9.0",
    "timm>=1.0.25",
    "einops>=0.8.2",
    "google-auth>=2.49.1",
    "google-api-python-client>=2.193.0",
    "cryptography>=46.0.5",
    "peft>=0.18.1",
    "trl>=0.19.1",
    "bitsandbytes>=0.49.2",
    "datasets>=4.8.4",
    "accelerate>=1.13.0",
    "pyyaml>=6.0.3",
    "gradio-client>=1.3.0",
    "lightgbm>=4.5.0",
    "sentry-sdk[fastapi]>=2.0.0",
]

[tool.uv]
# Gemma 4 需要 transformers>=5.5.0，但 chronos-forecasting 鎖定 <5。
# chronos 只用基礎 pipeline API，跨大版本相容，安全覆蓋。
override-dependencies = [
    "transformers>=5.5.0",
]
dev-dependencies = [
    "pytest>=8.0.0",
    "ruff>=0.8.0",
    "httpx>=0.28.0",
    "pytest-asyncio>=1.3.0",
]

[tool.ruff.lint.per-file-ignores]
# main.py 故意在 `from PIL import Image` 之後、重模型 import 之前設定
# Image.MAX_IMAGE_PIXELS（PIL decompression-bomb cap，memory
# feedback_pil_decompression_bomb_cap）→ 其後所有 import 必然不在檔案頂部，
# E402 是這個安全模式的預期結果，非疏漏。
"src/main.py" = ["E402"]
# newsletter_parser 延後 import email_parser._strip_code_fence（兩個 parser
# 模組互引，late import 規避 circular import），E402 是刻意的。
"src/services/newsletter_parser.py" = ["E402"]

[tool.pytest.ini_options]
asyncio_mode = "auto"