a6e6e2f54f
Architecture: - Moved backend/app/ to diligence/ Python package - Dialect-agnostic models (Uuid + JSON, no PostgreSQL imports) - Auto-detect database: empty DATABASE_URL → SQLite at ~/.diligence/data.db - Cross-dialect migrations (inspector-based, no raw PostgreSQL DDL) - FastAPI serves pre-built React frontend for pip path - CLI entry point: diligence [--port] [--no-browser] [--data-dir] - pyproject.toml with optional deps: [postgres], [mcp], [dev] - Docker path unchanged: docker compose up -d pip install path: pip install . && diligence Docker path: ./setup.sh && docker compose up -d
36 lines
1.8 KiB
Python
36 lines
1.8 KiB
Python
from __future__ import annotations
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import uuid
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from datetime import datetime, date, timezone
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from decimal import Decimal
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from sqlalchemy import String, Numeric, Date, DateTime, Text, ForeignKey, Index, Uuid, JSON
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from sqlalchemy.orm import Mapped, mapped_column
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from diligence.database import Base
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class FoodLog(Base):
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__tablename__ = "food_log"
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id: Mapped[uuid.UUID] = mapped_column(Uuid, primary_key=True, default=uuid.uuid4)
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user_id: Mapped[uuid.UUID] = mapped_column(Uuid, ForeignKey("users.id"), nullable=False)
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meal_type: Mapped[str] = mapped_column(String(20), nullable=False)
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food_name: Mapped[str] = mapped_column(String(300), nullable=False)
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brand: Mapped[str | None] = mapped_column(String(200))
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barcode: Mapped[str | None] = mapped_column(String(50))
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serving_size: Mapped[str | None] = mapped_column(String(100))
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servings: Mapped[Decimal] = mapped_column(Numeric(5, 2), default=1)
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calories: Mapped[Decimal | None] = mapped_column(Numeric(7, 1))
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protein_g: Mapped[Decimal | None] = mapped_column(Numeric(6, 1))
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carbs_g: Mapped[Decimal | None] = mapped_column(Numeric(6, 1))
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fat_g: Mapped[Decimal | None] = mapped_column(Numeric(6, 1))
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fiber_g: Mapped[Decimal | None] = mapped_column(Numeric(6, 1))
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sodium_mg: Mapped[Decimal | None] = mapped_column(Numeric(7, 1))
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sugar_g: Mapped[Decimal | None] = mapped_column(Numeric(6, 1))
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food_date: Mapped[date] = mapped_column(Date, nullable=False)
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logged_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc))
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off_product_id: Mapped[str | None] = mapped_column(String(50))
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off_data: Mapped[dict] = mapped_column(JSON, default=dict)
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__table_args__ = (
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Index("idx_food_log_user_date", "user_id", "food_date"),
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)
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