| """ |
| US Congress Trading Disclosures (PIT) — collection recipe. |
| |
| Contract (ziplime PIT recipe, design doc §9): |
| |
| async def fetch(since: datetime) -> pl.DataFrame |
| |
| Returns rows in the PIT schema for `congress-trading`: |
| system: entity_id, event_date, knowledge_date, knowledge_estimated |
| values: representative, chamber, transaction_type, asset_ticker, amount_low, amount_high, disclosure_lag_days |
| |
| The shared harness (ingest.py) stamps `ingested_at`, dedups against existing rows and |
| appends to the Delta bundle. This recipe only fetches and shapes. |
| """ |
| from __future__ import annotations |
| from datetime import datetime, timezone |
|
|
|
|
| async def fetch(since: datetime): |
| import polars as pl |
| import httpx |
| import polars as pl |
|
|
| |
| rows = [] |
| for chamber, endpoint in CHAMBER_ENDPOINTS.items(): |
| resp = httpx.get(endpoint, params={"since": since.date().isoformat()}, timeout=60) |
| for f in resp.json()["filings"]: |
| rows.append({ |
| "entity_id": f["ticker"], |
| "event_date": f["transaction_date"], |
| "knowledge_date": f["filed_at"] or _statutory_cap(f["transaction_date"]), |
| "knowledge_estimated": f["filed_at"] is None, |
| "representative": f["member"], |
| "chamber": chamber, |
| "transaction_type": f["type"], |
| "asset_ticker": f["ticker"], |
| "amount_low": f["amount_range"][0], |
| "amount_high": f["amount_range"][1], |
| "disclosure_lag_days": f["lag_days"], |
| }) |
| return pl.DataFrame(rows) |
|
|
|
|
| if __name__ == "__main__": |
| import asyncio, polars as pl |
| df = asyncio.run(fetch(datetime(2025, 1, 1, tzinfo=timezone.utc))) |
| print(df.head()) |
|
|
