Create libs/ai-services/ with FastAPI app providing: - POST /avm/predict — XGBoost-backed property price prediction (heuristic fallback) - POST /avm/extract-features — Vietnamese NLP feature extraction from listing text - POST /moderation/check — content moderation with rule-based flagging - GET /health — health check endpoint Includes Dockerfile (Python 3.12), docker-compose integration, Pydantic models, and 9 passing tests covering all endpoints. Co-Authored-By: Paperclip <noreply@paperclip.ing>
31 lines
684 B
TOML
31 lines
684 B
TOML
[project]
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name = "goodgo-ai-services"
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version = "0.1.0"
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description = "AI/ML services for Goodgo Platform — AVM, feature extraction, moderation"
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requires-python = ">=3.12"
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dependencies = [
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"fastapi>=0.115.0",
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"uvicorn[standard]>=0.32.0",
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"xgboost>=2.1.0",
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"numpy>=1.26.0",
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"underthesea>=6.8.0",
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"pydantic>=2.9.0",
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"pydantic-settings>=2.5.0",
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"httpx>=0.27.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.3.0",
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"pytest-asyncio>=0.24.0",
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"httpx>=0.27.0",
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]
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[build-system]
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requires = ["setuptools>=75.0"]
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build-backend = "setuptools.backends._legacy:_Backend"
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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asyncio_mode = "auto"
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