4c86a5b9ca
Self-hosted US Congress monitoring platform with AI policy briefs, bill/member/topic follows, ntfy + RSS + email notifications, alignment scoring, collections, and draft-letter generator. Authored by: Jack Levy
46 lines
1.7 KiB
Python
46 lines
1.7 KiB
Python
import sqlalchemy as sa
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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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effectiveness_score = Column(sa.Float, nullable=True)
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effectiveness_percentile = Column(sa.Float, nullable=True)
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effectiveness_tier = Column(String(20), nullable=True) # junior | mid | senior
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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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