buenosairesam
f66d3a273f
- root pyproject.toml replaces requirements.txt and requirements-worker.txt (worker = root + ffmpeg-python which root already had); test deps moved to [dependency-groups] dev - core/gpu/pyproject.toml replaces core/gpu/requirements.txt; uses [tool.uv.sources] to pin torch/torchvision and paddlepaddle-gpu to their CUDA index URLs, replacing the manual reinstall dance from old comments - Dockerfiles use uv sync --frozen against uv.lock for reproducible builds; PATH includes /app/.venv/bin so k8s manifests' bare uvicorn/celery commands resolve without wrapping in uv run - core/gpu/run.sh local mode now does uv sync + uv run python server.py; errors out cleanly if uv is missing
43 lines
949 B
TOML
43 lines
949 B
TOML
[project]
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name = "mpr"
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version = "0.1.0"
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description = "MPR — multi-pipeline runtime (api, admin, worker)"
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requires-python = ">=3.11"
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dependencies = [
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"Django>=4.2,<5.0",
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"django-environ>=0.11.2",
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"fastapi>=0.109.0",
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"uvicorn[standard]>=0.27.0",
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"pydantic>=2.5.0",
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"celery[redis]>=5.3.0",
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"redis>=5.0.0",
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"grpcio>=1.60.0",
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"grpcio-tools>=1.60.0",
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"boto3>=1.34.0",
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"requests>=2.31.0",
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"google-cloud-run>=0.10.0",
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"strawberry-graphql[fastapi]>=0.311.0",
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"langfuse>=2.0.0",
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"anthropic>=0.40.0",
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"sqlmodel>=0.0.14",
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"psycopg2-binary>=2.9.9",
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"opencv-python-headless>=4.8.0",
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"numpy>=1.24.0",
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"Pillow>=10.0.0",
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"imagehash>=4.3.0",
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"ffmpeg-python>=0.2.0",
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"langgraph>=0.0.30",
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"rapidfuzz>=3.0.0",
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]
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[dependency-groups]
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dev = [
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"pytest>=7.4.0",
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"pytest-django>=4.7.0",
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"pytest-asyncio>=0.23.0",
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"httpx>=0.26.0",
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]
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[tool.uv]
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package = false
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