d0da0b8dce
Member Effectiveness Score
- New BillCosponsor table (migration 0018) with per-bill co-sponsor
party data required for the bipartisan multiplier
- bill_category column on Bill (substantive | commemorative | administrative)
set by a cheap one-shot LLM call after each brief is generated
- effectiveness_score / percentile / tier columns on Member
- New bill_classifier.py worker with 5 tasks:
classify_bill_category — triggered from llm_processor after brief
fetch_bill_cosponsors — triggered from congress_poller on new bill
calculate_effectiveness_scores — nightly at 5 AM UTC
backfill_bill_categories / backfill_all_bill_cosponsors — one-time
- Scoring: distance-traveled pts × bipartisan (1.5×) × substance (0.1×
for commemorative) × leadership (1.2× for committee chairs)
- Percentile normalised within (seniority tier × party) buckets
- Effectiveness card on member detail page with colour-coded bar
- Admin panel: 3 new backfill/calculate controls in Maintenance section
Representation Alignment View
- New GET /api/alignment endpoint: cross-references user's stanced bill
follows (pocket_veto/pocket_boost) with followed members' vote positions
- Efficient bulk queries — no N+1 loops
- New /alignment page with ranked member list and alignment bars
- Alignment added to sidebar nav (auth-required)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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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