bvandeusenandClaude Opus 4.6
ba90ad8132
Both the /news discuss button and the briefing discuss button now call a shared seed_article_discussion() helper that stages the synthetic read_article tool exchange and the conversational seed prompt — behavior stays byte-identical across entry points. /news also auto-starts generation so the chat screen lands on an in-flight stream. First assistant reply in a seeded article conversation is persisted as a Note (tags: article-summary + article topics) and backlinked via rss_items.discussion_note_id, so the knowledge base stops being amnesiac about articles the user has engaged with. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
97 lines
4.0 KiB
Python
97 lines
4.0 KiB
Python
from datetime import datetime, timezone
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from sqlalchemy import ARRAY, BigInteger, DateTime, ForeignKey, Index, Integer, Text, UniqueConstraint
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from fabledassistant.models import Base
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class RssFeed(Base):
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__tablename__ = "rss_feeds"
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id: Mapped[int] = mapped_column(primary_key=True)
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user_id: Mapped[int] = mapped_column(Integer, ForeignKey("users.id", ondelete="CASCADE"))
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url: Mapped[str] = mapped_column(Text)
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title: Mapped[str] = mapped_column(Text, default="")
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category: Mapped[str | None] = mapped_column(Text, nullable=True)
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last_fetched_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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items: Mapped[list["RssItem"]] = relationship(
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back_populates="feed", cascade="all, delete-orphan"
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)
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__table_args__ = (
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UniqueConstraint("user_id", "url", name="uq_rss_feeds_user_url"),
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Index("ix_rss_feeds_user_id", "user_id"),
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)
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def to_dict(self) -> dict:
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return {
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"id": self.id,
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"url": self.url,
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"title": self.title,
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"category": self.category,
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"last_fetched_at": self.last_fetched_at.isoformat() if self.last_fetched_at else None,
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}
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class RssItem(Base):
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__tablename__ = "rss_items"
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id: Mapped[int] = mapped_column(primary_key=True)
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feed_id: Mapped[int] = mapped_column(Integer, ForeignKey("rss_feeds.id", ondelete="CASCADE"))
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guid: Mapped[str] = mapped_column(Text)
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title: Mapped[str] = mapped_column(Text, default="")
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url: Mapped[str] = mapped_column(Text, default="")
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published_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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# Truncated to 2000 chars to keep DB size reasonable
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content: Mapped[str] = mapped_column(Text, default="")
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# Full trafilatura-extracted article body, populated lazily on first
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# discuss-click / enrichment pass. Nullable — most items never get this
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# cached. Expires naturally with the item (90-day retention).
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content_full: Mapped[str | None] = mapped_column(Text, nullable=True)
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# Map-reduced conversation-ready context derived from content_full. See
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# services/article_context.py — populated on first discuss click so
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# repeat clicks skip both the fetch and the LLM map step.
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context_prepared: Mapped[str | None] = mapped_column(Text, nullable=True)
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content_fetched_at: Mapped[datetime | None] = mapped_column(
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DateTime(timezone=True), nullable=True
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)
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fetched_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
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)
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topics: Mapped[list[str]] = mapped_column(
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ARRAY(Text), nullable=False, default=list, server_default="{}"
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)
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classified_at: Mapped[datetime | None] = mapped_column(
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DateTime(timezone=True), nullable=True
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)
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# Note persisting the first-click discussion summary. Set by the article
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# discussion pipeline once the seeded chat completes its first assistant
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# reply; links back into RAG so re-discussing the same article lands the
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# prior summary in context.
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discussion_note_id: Mapped[int | None] = mapped_column(
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BigInteger, ForeignKey("notes.id", ondelete="SET NULL"), nullable=True
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)
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feed: Mapped["RssFeed"] = relationship(back_populates="items")
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__table_args__ = (
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UniqueConstraint("feed_id", "guid", name="uq_rss_items_feed_guid"),
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Index("ix_rss_items_feed_id", "feed_id"),
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Index("ix_rss_items_published_at", "published_at"),
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)
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def to_dict(self) -> dict:
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return {
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"id": self.id,
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"feed_id": self.feed_id,
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"guid": self.guid,
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"title": self.title,
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"url": self.url,
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"published_at": self.published_at.isoformat() if self.published_at else None,
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"content": self.content,
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"topics": self.topics or [],
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"classified_at": self.classified_at.isoformat() if self.classified_at else None,
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}
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