a66b5b4bcb
Adds Google Trends, NewsAPI, and Google News RSS scoring for members,
mirroring the existing bill interest pipeline. Member profiles now show
a Public Interest chart (with signal breakdown) and a Related News panel.
Key changes:
- New member_trend_scores + member_news_articles tables (migration 0008)
- fetch_gnews_articles() added to news_service for unlimited RSS article storage
- Bill news fetcher now combines NewsAPI + Google News RSS (more coverage)
- New member_interest Celery worker with scheduled news + trend tasks
- GET /members/{id}/trend and /news API endpoints
- TrendChart redesigned with signal breakdown badges and bar+line combo chart
- NewsPanel accepts generic article shape (bills and members)
Co-Authored-By: Jack Levy
42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
from sqlalchemy import Column, Integer, JSON, String, DateTime
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from sqlalchemy.orm import relationship
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from sqlalchemy.sql import func
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from app.database import Base
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class Member(Base):
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__tablename__ = "members"
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bioguide_id = Column(String, primary_key=True)
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name = Column(String, nullable=False)
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first_name = Column(String)
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last_name = Column(String)
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party = Column(String(50))
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state = Column(String(50))
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chamber = Column(String(50))
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district = Column(String(50))
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photo_url = Column(String)
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official_url = Column(String)
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congress_url = Column(String)
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birth_year = Column(String(10))
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address = Column(String)
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phone = Column(String(50))
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terms_json = Column(JSON)
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leadership_json = Column(JSON)
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sponsored_count = Column(Integer)
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cosponsored_count = Column(Integer)
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detail_fetched = Column(DateTime(timezone=True))
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
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bills = relationship("Bill", back_populates="sponsor", foreign_keys="Bill.sponsor_id")
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trend_scores = relationship(
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"MemberTrendScore", back_populates="member",
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order_by="desc(MemberTrendScore.score_date)", cascade="all, delete-orphan"
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)
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news_articles = relationship(
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"MemberNewsArticle", back_populates="member",
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order_by="desc(MemberNewsArticle.published_at)", cascade="all, delete-orphan"
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)
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