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
122 lines
4.4 KiB
Python
122 lines
4.4 KiB
Python
from datetime import date, timedelta
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from fastapi import Depends
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from fastapi import APIRouter
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from sqlalchemy import desc, or_, select
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy.orm import selectinload
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from app.core.dependencies import get_optional_user
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from app.database import get_db
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from app.models import Bill, BillBrief, Follow, TrendScore
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from app.models.user import User
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from app.schemas.schemas import BillSchema
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router = APIRouter()
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async def _get_trending(db: AsyncSession) -> list[dict]:
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# Try progressively wider windows so stale scores still surface results
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for days_back in (1, 3, 7, 30):
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trending_result = await db.execute(
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select(Bill)
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.options(selectinload(Bill.sponsor), selectinload(Bill.briefs), selectinload(Bill.trend_scores))
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.join(TrendScore, Bill.bill_id == TrendScore.bill_id)
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.where(TrendScore.score_date >= date.today() - timedelta(days=days_back))
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.order_by(desc(TrendScore.composite_score))
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.limit(10)
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)
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trending_bills = trending_result.scalars().unique().all()
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if trending_bills:
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return [_serialize_bill(b) for b in trending_bills]
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return []
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def _serialize_bill(bill: Bill) -> dict:
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b = BillSchema.model_validate(bill)
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if bill.briefs:
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b.latest_brief = bill.briefs[0]
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if bill.trend_scores:
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b.latest_trend = bill.trend_scores[0]
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return b.model_dump()
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@router.get("")
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async def get_dashboard(
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db: AsyncSession = Depends(get_db),
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current_user: User | None = Depends(get_optional_user),
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):
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trending = await _get_trending(db)
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if current_user is None:
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return {"feed": [], "trending": trending, "follows": {"bills": 0, "members": 0, "topics": 0}}
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# Load follows for the current user
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follows_result = await db.execute(
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select(Follow).where(Follow.user_id == current_user.id)
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)
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follows = follows_result.scalars().all()
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followed_bill_ids = [f.follow_value for f in follows if f.follow_type == "bill"]
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followed_member_ids = [f.follow_value for f in follows if f.follow_type == "member"]
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followed_topics = [f.follow_value for f in follows if f.follow_type == "topic"]
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feed_bills: list[Bill] = []
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seen_ids: set[str] = set()
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# 1. Directly followed bills
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if followed_bill_ids:
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result = await db.execute(
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select(Bill)
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.options(selectinload(Bill.sponsor), selectinload(Bill.briefs), selectinload(Bill.trend_scores))
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.where(Bill.bill_id.in_(followed_bill_ids))
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.order_by(desc(Bill.latest_action_date))
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.limit(20)
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)
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for bill in result.scalars().all():
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if bill.bill_id not in seen_ids:
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feed_bills.append(bill)
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seen_ids.add(bill.bill_id)
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# 2. Bills from followed members
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if followed_member_ids:
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result = await db.execute(
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select(Bill)
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.options(selectinload(Bill.sponsor), selectinload(Bill.briefs), selectinload(Bill.trend_scores))
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.where(Bill.sponsor_id.in_(followed_member_ids))
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.order_by(desc(Bill.latest_action_date))
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.limit(20)
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)
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for bill in result.scalars().all():
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if bill.bill_id not in seen_ids:
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feed_bills.append(bill)
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seen_ids.add(bill.bill_id)
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# 3. Bills matching followed topics (single query with OR across all topics)
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if followed_topics:
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result = await db.execute(
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select(Bill)
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.options(selectinload(Bill.sponsor), selectinload(Bill.briefs), selectinload(Bill.trend_scores))
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.join(BillBrief, Bill.bill_id == BillBrief.bill_id)
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.where(or_(*[BillBrief.topic_tags.contains([t]) for t in followed_topics]))
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.order_by(desc(Bill.latest_action_date))
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.limit(20)
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)
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for bill in result.scalars().all():
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if bill.bill_id not in seen_ids:
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feed_bills.append(bill)
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seen_ids.add(bill.bill_id)
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# Sort feed by latest action date
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feed_bills.sort(key=lambda b: b.latest_action_date or date.min, reverse=True)
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return {
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"feed": [_serialize_bill(b) for b in feed_bills[:50]],
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"trending": trending,
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"follows": {
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"bills": len(followed_bill_ids),
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"members": len(followed_member_ids),
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"topics": len(followed_topics),
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},
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}
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