FastAPI + Celery + Next.js + Postgres/Redis app with company monitoring, source collection, LLM-based change analysis, enrichment, and account security (Turnstile, escalating lockout, email verification).
41 lines
1.8 KiB
Python
41 lines
1.8 KiB
Python
from __future__ import annotations
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import uuid
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from datetime import datetime
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from typing import Any
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from sqlalchemy import JSON, DateTime, Float, ForeignKey, Integer, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from app.db.base import Base, TimestampMixin, UUIDPrimaryKeyMixin
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class SourceDocument(Base, UUIDPrimaryKeyMixin, TimestampMixin):
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"""A single piece of collected content. Kept lean on purpose - raw HTML
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is not stored, only extracted text - per the "avoid saving unnecessary
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full HTML indefinitely" rule in the spec."""
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__tablename__ = "source_documents"
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source_id: Mapped[uuid.UUID] = mapped_column(
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ForeignKey("sources.id", ondelete="CASCADE"), index=True
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)
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company_id: Mapped[uuid.UUID] = mapped_column(
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ForeignKey("companies.id", ondelete="CASCADE"), index=True
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)
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url: Mapped[str] = mapped_column(String(1000))
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canonical_url: Mapped[str] = mapped_column(String(1000), index=True)
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title: Mapped[str | None] = mapped_column(String(500), nullable=True)
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author: Mapped[str | None] = mapped_column(String(200), nullable=True)
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publication_date: Mapped[datetime | None] = mapped_column(
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DateTime(timezone=True), nullable=True
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)
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retrieved_date: Mapped[datetime] = mapped_column(DateTime(timezone=True))
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content_text: Mapped[str] = mapped_column(Text)
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content_hash: Mapped[str] = mapped_column(String(64), index=True)
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metadata_json: Mapped[dict[str, Any]] = mapped_column(JSON, default=dict)
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language: Mapped[str | None] = mapped_column(String(16), nullable=True)
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http_status: Mapped[int | None] = mapped_column(Integer, nullable=True)
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extraction_method: Mapped[str] = mapped_column(String(50))
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trust_score: Mapped[float] = mapped_column(Float, default=0.7)
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