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Update main.py
Browse files
main.py
CHANGED
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@@ -5,6 +5,7 @@ from bs4 import BeautifulSoup
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import feedparser
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import json
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import re
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from datetime import datetime
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from pathlib import Path
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from dateutil import parser as date_parser
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@@ -102,15 +103,24 @@ else:
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def analyze_with_ai(title, summary, source):
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if not hf_client:
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return "LOW - MONITOR", "AI Triage disabled (No API Key).", "N/A"
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prompt = f"""
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You are a D.C. AI policy analyst. Review this update:
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Source: {source}
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Title: {title}
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Summary: {summary}
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Extract 3 comma-separated keywords.
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Format output EXACTLY as:
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PRIORITY: [Flag]
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@@ -125,6 +135,10 @@ def analyze_with_ai(title, summary, source):
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priority = re.search(r'PRIORITY:\s*(.*)', text).group(1) if re.search(r'PRIORITY:\s*(.*)', text) else "LOW - MONITOR"
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analysis = re.search(r'ANALYSIS:\s*(.*)', text).group(1) if re.search(r'ANALYSIS:\s*(.*)', text) else "Could not generate analysis."
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keywords = re.search(r'KEYWORDS:\s*(.*)', text).group(1) if re.search(r'KEYWORDS:\s*(.*)', text) else "AI, Tech, Policy"
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return priority.strip(), analysis.strip(), keywords.strip()
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except Exception as e:
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print(f"AI Error: {e}")
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@@ -144,7 +158,7 @@ def save_db(db):
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def is_new_event(link, db):
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return link not in db
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# ---
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def extract_robust_date(text_blocks):
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date_patterns = [
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r'\b(?:Jan(?:uary)?|Feb(?:ruary)?|Mar(?:ch)?|Apr(?:il)?|May|Jun(?:e)?|Jul(?:y)?|Aug(?:ust)?|Sep(?:tember)?|Oct(?:ober)?|Nov(?:ember)?|Dec(?:ember)?)\s+\d{1,2}(?:st|nd|rd|th)?(?:,)?\s+\d{4}\b',
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@@ -215,7 +229,6 @@ def fetch_specific_committees():
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if len(title) < 15: continue
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href_lower = a['href'].lower()
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# Tighter filter: require specific event-related paths
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if any(x in href_lower for x in ["hearing", "event", "markup"]):
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if not is_relevant(title):
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@@ -227,8 +240,6 @@ def fetch_specific_committees():
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time_text = time_node["datetime"] if time_node and time_node.has_attr("datetime") else ""
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fmt_date = extract_robust_date([time_text, title, container_text])
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# STRICT RULE: If no valid date is extracted, it's likely a generic link, drop it.
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if not fmt_date:
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continue
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@@ -252,11 +263,12 @@ def fetch_committee_meetings():
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r = requests.get(url, params={"limit": 100, "format": "json"}, headers=headers, timeout=20)
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if r.status_code == 200:
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for m in r.json().get("committeeMeetings", []):
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# We removed the keyword bouncer here because API titles are too generic
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# (e.g., "Business Meeting"). We will let the AI Triage figure out if it's important.
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title = m.get("title", "Committee Meeting")
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summary = f"Location: {m.get('room', 'TBD')} {m.get('building', '')}"
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raw_date = m.get("date")
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if raw_date:
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fmt_date = pd.to_datetime(raw_date).tz_localize(None).to_pydatetime()
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@@ -273,36 +285,64 @@ def fetch_committee_meetings():
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except Exception as e:
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print(f"API Error: {e}")
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return results
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def fetch_legislation():
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print("Scanning Legislation...")
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results = []
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if not CONGRESS_API_KEY: return []
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headers = {"
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title = b.get("title", "")
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#
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if not is_relevant(title):
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continue
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results.append({
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"source": "Congress.gov
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"
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"
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"latest_action": b.get("latestAction", {}).get("text", "Introduced"),
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"link": b.get("url", "https://www.congress.gov"), "summary": "AI related legislation."
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})
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return results
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# --- MAIN EXECUTION ---
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import feedparser
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import json
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import re
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import time
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from datetime import datetime
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from pathlib import Path
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from dateutil import parser as date_parser
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def analyze_with_ai(title, summary, source):
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if not hf_client:
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return "LOW - MONITOR", "AI Triage disabled (No API Key).", "N/A"
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# Hard Filter: If the title is generic and has no AI keywords, don't ask the AI.
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if not is_relevant(title, summary) and "Committee API" in source:
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return "LOW - MONITOR", "Administrative update with no specific tech policy markers.", "Admin"
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prompt = f"""
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You are a ruthless D.C. AI policy analyst. Review this update:
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Source: {source}
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Title: {title}
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Summary: {summary}
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RULES:
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1. Categorize priority as exactly: "HIGH - ACTION REQUIRED", "MEDIUM - REVIEW", or "LOW - MONITOR".
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2. HIGH priority is ONLY for major AI legislation advancing, executive orders, or finalized rules.
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3. DO NOT flag generic meetings, "TBD" locations, or administrative updates as HIGH.
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4. If the update lacks specific AI or Tech policy details, it MUST be "LOW - MONITOR".
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Provide a 1-sentence analysis explaining the actual policy impact.
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Extract 3 comma-separated keywords.
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Format output EXACTLY as:
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PRIORITY: [Flag]
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priority = re.search(r'PRIORITY:\s*(.*)', text).group(1) if re.search(r'PRIORITY:\s*(.*)', text) else "LOW - MONITOR"
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analysis = re.search(r'ANALYSIS:\s*(.*)', text).group(1) if re.search(r'ANALYSIS:\s*(.*)', text) else "Could not generate analysis."
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keywords = re.search(r'KEYWORDS:\s*(.*)', text).group(1) if re.search(r'KEYWORDS:\s*(.*)', text) else "AI, Tech, Policy"
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if "TBD" in summary and "HIGH" in priority:
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priority = "LOW - MONITOR"
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return priority.strip(), analysis.strip(), keywords.strip()
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except Exception as e:
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print(f"AI Error: {e}")
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def is_new_event(link, db):
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return link not in db
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# --- DATE EXTRACTOR ---
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def extract_robust_date(text_blocks):
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date_patterns = [
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r'\b(?:Jan(?:uary)?|Feb(?:ruary)?|Mar(?:ch)?|Apr(?:il)?|May|Jun(?:e)?|Jul(?:y)?|Aug(?:ust)?|Sep(?:tember)?|Oct(?:ober)?|Nov(?:ember)?|Dec(?:ember)?)\s+\d{1,2}(?:st|nd|rd|th)?(?:,)?\s+\d{4}\b',
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if len(title) < 15: continue
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href_lower = a['href'].lower()
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if any(x in href_lower for x in ["hearing", "event", "markup"]):
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if not is_relevant(title):
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time_text = time_node["datetime"] if time_node and time_node.has_attr("datetime") else ""
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fmt_date = extract_robust_date([time_text, title, container_text])
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if not fmt_date:
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continue
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r = requests.get(url, params={"limit": 100, "format": "json"}, headers=headers, timeout=20)
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if r.status_code == 200:
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for m in r.json().get("committeeMeetings", []):
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title = m.get("title", "Committee Meeting")
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summary = f"Location: {m.get('room', 'TBD')} {m.get('building', '')}"
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if not is_relevant(title, summary):
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continue
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raw_date = m.get("date")
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if raw_date:
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fmt_date = pd.to_datetime(raw_date).tz_localize(None).to_pydatetime()
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except Exception as e:
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print(f"API Error: {e}")
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return results
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def fetch_legislation(target=2000):
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print("Scanning Legislation...")
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if not CONGRESS_API_KEY: return []
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results = []
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headers = {"Accept": "application/json"}
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BILL_TYPE_MAP = {
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"HR": "house-bill", "S": "senate-bill", "HRES": "house-resolution", "SRES": "senate-resolution",
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"HJRES": "house-joint-resolution", "SJRES": "senate-joint-resolution",
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"HCONRES": "house-concurrent-resolution", "SCONRES": "senate-concurrent-resolution"
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}
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for offset in range(0, target, 250):
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try:
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params = {
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"api_key": CONGRESS_API_KEY, "limit": 250, "offset": offset,
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"format": "json", "sort": "updateDate desc"
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}
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r = requests.get(f"{CONGRESS_API_BASE}/bill/{CURRENT_CONGRESS}", params=params, headers=headers, timeout=20)
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if r.status_code != 200: break
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bills = r.json().get("bills", [])
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if not bills: break
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for b in bills:
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title = b.get("title", "")
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# Apply our keyword filter so we only store tech policy bills
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if not is_relevant(title):
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continue
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action_data = b.get("latestAction")
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action_text = action_data.get("text", "Active") if action_data else "Active"
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action_date_raw = action_data.get("actionDate") if action_data else None
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if not action_date_raw:
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action_date_raw = b.get("updateDate")
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# Timezone-safe parsing to avoid UI crashes
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if action_date_raw:
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fmt_date = pd.to_datetime(action_date_raw).tz_localize(None).to_pydatetime()
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else:
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fmt_date = datetime.now().replace(tzinfo=None)
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raw_type = b.get("type", "HR").upper()
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url_type = BILL_TYPE_MAP.get(raw_type, "house-bill")
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proper_link = f"https://www.congress.gov/bill/{CURRENT_CONGRESS}th-congress/{url_type}/{b.get('number')}"
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results.append({
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"source": "Congress.gov", "type": "Legislation", "event_date": fmt_date,
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"time": "API Verified", "title": f"{b.get('type')}{b.get('number')}: {title}",
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"latest_action": action_text, "link": proper_link, "summary": "Legislative movement tracked via Congress.gov API."
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})
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time.sleep(1.5)
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except Exception as e:
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print(f"Legislation API Error at offset {offset}: {e}")
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break
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return results
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# --- MAIN EXECUTION ---
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