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Deploy: unbuffer pipeline logs
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import os
import sys
import json
import time
import logging
import base64
from io import BytesIO
from datetime import datetime, timezone
from dotenv import load_dotenv
from bs4 import BeautifulSoup
import PyPDF2
# Load environment variables from .env file
load_dotenv()
# Pipeline status tracking (no-op when running standalone)
_PIPELINE_SCRIPT = os.environ.get("PIPELINE_CURRENT_SCRIPT")
_pipeline = None
_last_status_write = 0.0
if _PIPELINE_SCRIPT:
try:
from pipeline_status import PipelineStatus
_pipeline = PipelineStatus()
except Exception:
pass
def _update_pipeline_progress(current, total, unit="bills", message=""):
global _last_status_write
if not _pipeline:
return
now = time.time()
if now - _last_status_write < 3.0:
return
_last_status_write = now
try:
_pipeline.update_progress(_PIPELINE_SCRIPT, current, total, unit, message)
except Exception:
pass
# Import shared LegiScan API helper
from legiscan_api import legi_request, API_KEY, RATE_LIMIT as _DEFAULT_RATE_LIMIT, get_api_call_count
if not API_KEY:
print("Error: Please set LEGISCAN_API_KEY in your .env file.")
sys.exit(1)
# Modes for testing (can also be enabled via PIPELINE_TEST_MODE env var)
# Quick test: pulls only TEST_MAX_BILLS bills
TESTING_MODE = os.getenv("PIPELINE_TEST_MODE", "").lower() in ("1", "true", "yes")
# Full test: pulls all bills for TEST_STATE and TEST_YEAR without bill count cap
FULL_TESTING_MODE = False
TEST_STATE = 'CA'
TEST_YEAR = 2026
TEST_MAX_BILLS = int(os.getenv("PIPELINE_TEST_MAX_BILLS", "3"))
# Output files
CACHE_FILE = "data/bill_cache.json" # Stores bill_id -> change_hash
OUTPUT_FILE = "data/known_bills.json" # Final bills data
# Query settings
QUERY = "artificial intelligence"
START_YEAR = 2023
END_YEAR = datetime.now(timezone.utc).year
# Include all state legislatures plus U.S. Congress (both chambers)
STATES = [
"AL","AK","AZ","AR","CA","CO","CT","DE","FL","GA",
"HI","ID","IL","IN","IA","KS","KY","LA","ME","MD",
"MA","MI","MN","MS","MO","MT","NE","NV","NH","NJ",
"NM","NY","NC","ND","OH","OK","OR","PA","RI","SC",
"SD","TN","TX","UT","VT","VA","WA","WV","WI","WY",
"US" # U.S. Congress
]
# Rate limiting (seconds between requests)
RATE_LIMIT = _DEFAULT_RATE_LIMIT
# Create logs directory if it doesn't exist
os.makedirs("data_updating_scripts/logs", exist_ok=True)
# Logging configuration
LOG_FILE = "data_updating_scripts/logs/fetch_ai_bills.log"
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] %(message)s",
handlers=[
logging.StreamHandler(sys.stdout),
logging.FileHandler(LOG_FILE)
]
)
logger = logging.getLogger(__name__)
# Apply testing overrides
if TESTING_MODE:
logger.info(f"*** TESTING MODE: fetching only {TEST_MAX_BILLS} bills from {TEST_STATE} ({TEST_YEAR}) ***")
STATES = [TEST_STATE]
if FULL_TESTING_MODE:
logger.info(f"*** FULL TESTING MODE: fetching all bills from {TEST_STATE} ({TEST_YEAR}) ***")
STATES = [TEST_STATE]
def load_json(path, default):
try:
with open(path, 'r') as f:
return json.load(f)
except (FileNotFoundError, json.JSONDecodeError):
return default
def save_json(path, data):
# Create directory if it doesn't exist
os.makedirs(os.path.dirname(path), exist_ok=True)
with open(path, 'w') as f:
json.dump(data, f, indent=2)
logger.info(f"Saved JSON to {path}")
def extract_plain_text(html_content: str) -> str:
soup = BeautifulSoup(html_content, "html.parser")
return soup.get_text(separator="\n", strip=True)
def main():
cache = load_json(CACHE_FILE, {})
existing = load_json(OUTPUT_FILE, [])
existing_map = {b.get("bill_id"): b for b in existing}
logger.info(f"Loaded cache entries: {len(cache)}, existing bills: {len(existing)}")
collected = []
total_fetched = 0
skipped_unchanged = 0
new_or_updated = 0
years = [TEST_YEAR] if (TESTING_MODE or FULL_TESTING_MODE) else list(range(START_YEAR, END_YEAR + 1))
for state in STATES:
for year in years:
page = 1
while True:
if TESTING_MODE and total_fetched >= TEST_MAX_BILLS:
logger.info("Reached TEST_MAX_BILLS limit, stopping early.")
break
params = {"state": state, "year": year, "query": QUERY, "page": page}
logger.info(f"Searching {state} for {year}, page {page}")
data = legi_request("getSearch", params)
if not data:
logger.warning(f"Search failed for {state} {year} page {page} after retries — skipping remaining pages")
break
results = data.get("searchresult", {})
summary = results.get("summary", {})
bills = [v for k, v in results.items() if k != "summary"]
if not bills:
logger.info(f"No bills on page {page} for {state} {year}")
break
logger.info(f"Found {len(bills)} bills on {state} {year} page {page}")
for bill in bills:
if TESTING_MODE and total_fetched >= TEST_MAX_BILLS:
break
bill_id = str(bill.get("bill_id"))
state_code = bill.get("state")
bill_num = bill.get("bill_number")
# Check change_hash from search result BEFORE calling getBill
# This avoids thousands of unnecessary API calls for unchanged bills
search_hash = bill.get("change_hash")
old_hash = cache.get(bill_id)
if search_hash and search_hash == old_hash and bill_id in existing_map:
existing_entry = existing_map[bill_id]
# Re-fetch if actions are empty (one-time backfill for history field fix)
if existing_entry.get("actions") in ([], None):
logger.info(f"Re-fetching {state_code}_{bill_num} (empty actions, need history backfill)")
else:
# Bill unchanged since last run - reuse existing entry entirely
entry = existing_entry
entry["lastUpdatedAt"] = datetime.now(timezone.utc).isoformat()
collected.append(entry)
total_fetched += 1
skipped_unchanged += 1
logger.info(f"Unchanged {state_code}_{bill_num} (ID: {bill_id}) - skipped API call")
continue
# Bill is new or changed - need full details from API
logger.info(f"Fetching details for {state_code}_{bill_num} (ID: {bill_id})")
details_resp = legi_request("getBill", {"id": bill_id})
if not details_resp:
continue
details = details_resp.get("bill", {})
sess_year = details.get("session", {}).get("year_start", 0)
if sess_year < START_YEAR:
continue
new_hash = details.get("change_hash")
now_iso = datetime.now(timezone.utc).isoformat()
# Extract all relevant dates
explicit = details.get("last_action_date")
status_date = details.get("status_date")
last_vote_date = details.get("last_vote_date")
last_amendment_date = details.get("last_amendment_date")
actions = details.get("history", details.get("actions", []))
action_dates = [a.get("date") or a.get("action_date") for a in actions if a.get("date") or a.get("action_date")]
most_recent_action = max(action_dates) if action_dates else None
candidates = [d for d in [explicit, status_date, last_vote_date, last_amendment_date, most_recent_action] if d]
last_action_date = max(candidates) if candidates else None
bill_url = details.get("url") # Bill detail page URL
# Fetch bill text for new or changed bills
plain_text = None
texts = details.get("texts", [])
if texts:
doc_id = texts[0].get("doc_id")
text_resp = legi_request("getBillText", {"id": doc_id})
if text_resp and "text" in text_resp:
raw_b64 = text_resp["text"].get("doc", "")
try:
decoded = base64.b64decode(raw_b64)
if decoded[:4] == b'%PDF':
# PDF document - extract with PyPDF2
reader = PyPDF2.PdfReader(BytesIO(decoded))
pages = [p.extract_text() for p in reader.pages if p.extract_text()]
plain_text = "\n".join(pages).strip() if pages else None
if plain_text:
logger.info(f"Extracted {len(plain_text)} chars from PDF for {bill_id}")
else:
logger.warning(f"PDF extraction returned no text for {bill_id}")
else:
# HTML document
html = decoded.decode("utf-8", errors="ignore")
plain_text = extract_plain_text(html)
except Exception as e:
logger.error(f"Failed decoding text for {bill_id}: {e}")
# If bill existed before, preserve its text if we failed to fetch new text
if plain_text is None and bill_id in existing_map:
plain_text = existing_map[bill_id].get("text")
entry = {
"bill_id": bill_id,
"state": state_code,
"bill_number": bill_num,
"session_year": f"{details.get('session', {}).get('year_start', '')}-{details.get('session', {}).get('year_end', '')}",
"title": details.get("title"),
"description": details.get("description"),
"status": details.get("status"),
"sponsors": [s.get("name") for s in details.get("sponsors", [])],
"text": plain_text,
"last_action_date": last_action_date,
"status_date": status_date,
"last_vote_date": last_vote_date,
"last_amendment_date": last_amendment_date,
"actions": actions,
"bill_url": bill_url,
"change_hash": new_hash,
"lastUpdatedAt": now_iso
}
cache[bill_id] = new_hash
new_or_updated += 1
logger.info(
f"{'Updated' if bill_id in existing_map else 'New'} bill: title='{entry['title']}', "
f"sponsors={len(entry['sponsors'])}, status={entry['status']}, last_action_date={entry['last_action_date']}"
)
collected.append(entry)
total_fetched += 1
_update_pipeline_progress(total_fetched, total_fetched, "bills",
f"Fetched {total_fetched} bills ({new_or_updated} new, {skipped_unchanged} unchanged)")
time.sleep(RATE_LIMIT)
if page >= summary.get("page_total", 1):
break
page += 1
time.sleep(RATE_LIMIT)
if TESTING_MODE and total_fetched >= TEST_MAX_BILLS:
break
if TESTING_MODE and total_fetched >= TEST_MAX_BILLS:
break
dedup = {e["bill_id"]: e for e in collected}
# Preserve existing bills not found in this run's search results.
# Bills can be missed if search pages time out or LegiScan changes indexing.
preserved = 0
for bill_id, bill in existing_map.items():
if bill_id not in dedup:
dedup[bill_id] = bill
preserved += 1
if preserved:
logger.info(f"Preserved {preserved} existing bills not in current search results")
all_bills = list(dedup.values())
save_json(OUTPUT_FILE, all_bills)
save_json(CACHE_FILE, cache)
_update_pipeline_progress(len(all_bills), len(all_bills), "bills",
f"Done: {len(all_bills)} bills ({new_or_updated} new, {skipped_unchanged} unchanged)")
api_calls = get_api_call_count()
logger.info(f"Completed run, saved {len(all_bills)} bills to {OUTPUT_FILE}")
logger.info(f" Unchanged (skipped API calls): {skipped_unchanged}")
logger.info(f" New or updated (fetched from API): {new_or_updated}")
logger.info(f" Total LegiScan API calls this run: {api_calls}")
if skipped_unchanged > 0:
logger.info(f" Saved ~{skipped_unchanged * 2} API calls by skipping unchanged bills")
if __name__ == "__main__":
main()