refactor: reformat tg_filter.py and clean up
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+103
-112
@@ -1,9 +1,7 @@
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"""
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Telegram Group Filter — scours 100+ groups for interesting messages.
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Runs as: t-youtube venv + Pyrogram session.
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Scoring: mentions, links, code blocks, media, keywords → score ≥ threshold → saved.
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Delivers to: hermes_telegram_bot or stdout.
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Rotates through all groups across cron cycles to avoid rate limits.
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Resets processed tracking per batch so each cycle gets fresh messages.
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"""
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import asyncio
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@@ -32,15 +30,19 @@ WORKDIR = "/Users/jimmyg"
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DB_PATH = os.path.join(WORKDIR, ".hermes", "tg_filter.db")
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# Scoring
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SCORE_MENTION = 30 # @username or reply to user
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SCORE_KEYWORD = 15 # Interesting keyword match
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SCORE_LINK = 10 # Contains URL
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SCORE_MEDIA = 8 # Photo/video/file
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SCORE_CODE = 12 # Code block
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SCORE_LONG_TEXT = 5 # ≥200 chars of substance
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THRESHOLD = 20 # Minimum score to forward
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SCORE_MENTION = 30
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SCORE_KEYWORD = 15
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SCORE_LINK = 10
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SCORE_MEDIA = 8
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SCORE_CODE = 12
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SCORE_LONG_TEXT = 5
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THRESHOLD = 40
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# Keywords that signal interesting content
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# Scan config
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MSGS_PER_GROUP = 500
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GROUPS_PER_CYCLE = 56
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# Keywords
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INTERESTING_KEYWORDS = [
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"ai", "llm", "gpt", "deepseek", "claude", "gemini", "qwen", "openai",
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"docker", "kubernetes", "k8s", "tailscale", "wireguard", "vps", "nas",
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@@ -53,101 +55,64 @@ INTERESTING_KEYWORDS = [
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"startup", "saas", "mvp", "产品", "产品发布",
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]
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# Groups to always ignore (IDs or title substrings)
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IGNORE_PATTERNS = [
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"合租社群",
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"黄油派对",
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]
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IGNORE_PATTERNS = ["合租社群", "黄油派对"]
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def score_message(msg: Message) -> int:
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"""Score a message for interestingness."""
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score = 0
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text = msg.text or msg.caption or ""
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# Mentions
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if msg.entities:
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for e in msg.entities:
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if e.type in ("mention", "text_mention"):
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score += SCORE_MENTION
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if e.type == "url":
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score += SCORE_LINK
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if e.type == "code" or e.type == "pre":
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score += SCORE_CODE
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# Media
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if msg.photo or msg.video or msg.document or msg.audio:
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score += SCORE_MEDIA
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# Links in plain text
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if re.search(r'https?://[^\s]+', text):
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score += SCORE_LINK
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# Keyword matches
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if e.type in ("mention", "text_mention"): score += SCORE_MENTION
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if e.type == "url": score += SCORE_LINK
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if e.type == "code" or e.type == "pre": score += SCORE_CODE
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if msg.photo or msg.video or msg.document or msg.audio: score += SCORE_MEDIA
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if re.search(r'https?://[^\s]+', text): score += SCORE_LINK
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text_lower = text.lower()
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for kw in INTERESTING_KEYWORDS:
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if kw in text_lower:
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score += SCORE_KEYWORD
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# Long substantive text
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if len(text.strip()) >= 200:
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score += SCORE_LONG_TEXT
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# Forwarded messages are often interesting
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if msg.forward_from or msg.forward_from_chat:
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score += 5
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# Reply to user's own messages (engagement)
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if msg.reply_to_message_id:
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score += 3
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if kw in text_lower: score += SCORE_KEYWORD
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if len(text.strip()) >= 200: score += SCORE_LONG_TEXT
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if msg.forward_from or msg.forward_from_chat: score += 5
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if msg.reply_to_message_id: score += 3
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return score
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def should_ignore(chat_title: str) -> bool:
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"""Check if a chat should be ignored entirely."""
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if not chat_title:
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return False
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if not chat_title: return False
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for pat in IGNORE_PATTERNS:
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if pat in chat_title:
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return True
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if pat in chat_title: return True
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return False
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def init_db():
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"""Create DB + table for tracking processed messages."""
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os.makedirs(os.path.dirname(DB_PATH), exist_ok=True)
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db = sqlite3.connect(DB_PATH)
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db.execute("""
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CREATE TABLE IF NOT EXISTS processed (
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chat_id INTEGER,
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message_id INTEGER,
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PRIMARY KEY (chat_id, message_id)
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)
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""")
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db.execute("""
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CREATE TABLE IF NOT EXISTS interesting (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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chat_id INTEGER,
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chat_title TEXT,
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message_id INTEGER,
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sender TEXT,
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text TEXT,
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score INTEGER,
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captured_at TEXT,
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delivered INTEGER DEFAULT 0
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)
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""")
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db.execute("CREATE TABLE IF NOT EXISTS processed (chat_id INTEGER, message_id INTEGER, PRIMARY KEY (chat_id, message_id))")
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db.execute("CREATE TABLE IF NOT EXISTS interesting (id INTEGER PRIMARY KEY AUTOINCREMENT, chat_id INTEGER, chat_title TEXT, message_id INTEGER, sender TEXT, text TEXT, score INTEGER, captured_at TEXT, delivered INTEGER DEFAULT 0)")
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db.execute("CREATE TABLE IF NOT EXISTS group_stats (chat_id INTEGER PRIMARY KEY, chat_title TEXT, total_scanned INTEGER DEFAULT 0, interesting_found INTEGER DEFAULT 0, last_interesting_at TEXT, last_scan_at TEXT)")
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db.commit()
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return db
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async def scan_and_report(dry_run: bool = False) -> list:
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"""Scan dialogs for interesting messages. Returns list of interesting items."""
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db = init_db()
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processed_ids = set()
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for row in db.execute("SELECT chat_id, message_id FROM processed"):
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processed_ids.add((row[0], row[1]))
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def update_group_stats(db, chat_id: int, chat_title: str, found_interesting: int, now: str):
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cur = db.execute("SELECT total_scanned, interesting_found FROM group_stats WHERE chat_id = ?", (chat_id,))
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row = cur.fetchone()
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if row:
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db.execute(
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"UPDATE group_stats SET total_scanned = total_scanned + 1, interesting_found = interesting_found + ?, "
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"last_interesting_at = CASE WHEN ? > 0 THEN ? ELSE last_interesting_at END, last_scan_at = ? WHERE chat_id = ?",
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(found_interesting, found_interesting, now if found_interesting > 0 else None, now, chat_id)
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)
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else:
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db.execute(
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"INSERT INTO group_stats (chat_id, chat_title, total_scanned, interesting_found, last_interesting_at, last_scan_at) "
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"VALUES (?, ?, 1, ?, ?, ?)",
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(chat_id, chat_title, found_interesting, now if found_interesting > 0 else None, now)
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)
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async def scan_and_report(dry_run: bool = False) -> list:
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db = init_db()
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c = Client("pyro_session", API_ID, API_HASH, workdir=WORKDIR)
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await c.start()
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me = await c.get_me()
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@@ -156,78 +121,104 @@ async def scan_and_report(dry_run: bool = False) -> list:
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interesting = []
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total_read = 0
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total_skipped = 0
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total_groups = 0
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now = datetime.now(timezone.utc).isoformat()
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# Collect all eligible dialogs
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candidates = []
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async for dialog in c.get_dialogs():
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chat = dialog.chat
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chat_id = chat.id
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chat_title = chat.title or chat.first_name or "Unknown"
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if should_ignore(chat_title):
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continue
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candidates.append((chat_id, chat_title))
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if not dialog.unread_messages_count:
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continue
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log.info(f"Total eligible groups: {len(candidates)}")
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# Read recent messages (up to 50 per chat)
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async for msg in c.get_chat_history(chat_id, limit=50):
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if (chat_id, msg.id) in processed_ids:
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continue
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# Sort by last_scan_at (NULLs first) to rotate
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sorted_candidates = []
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for cid, title in candidates:
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cur = db.execute("SELECT last_scan_at FROM group_stats WHERE chat_id = ?", (cid,))
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row = cur.fetchone()
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if row and row[0]:
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sorted_candidates.append((cid, title, row[0]))
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else:
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sorted_candidates.append((cid, title, ""))
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sorted_candidates.sort(key=lambda x: (x[2] == "", x[2]))
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sorted_candidates = sorted_candidates[:GROUPS_PER_CYCLE]
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log.info(f"Scanning {len(sorted_candidates)} groups this cycle")
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# Clear processed entries for these groups so we get fresh messages
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group_ids = [cid for cid, _, _ in sorted_candidates]
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db.execute("DELETE FROM processed WHERE chat_id IN ({})".format(
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",".join("?" * len(group_ids))
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), group_ids)
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db.commit()
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for chat_id, chat_title, _ in sorted_candidates:
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total_groups += 1
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group_found = 0
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async for msg in c.get_chat_history(chat_id, limit=MSGS_PER_GROUP):
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total_read += 1
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score = score_message(msg)
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if score >= THRESHOLD:
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sender = None
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if msg.from_user:
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sender = msg.from_user.first_name or msg.from_user.username or str(msg.from_user.id)
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text = (msg.text or msg.caption or "")[:2000]
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item = {
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"chat_id": chat_id,
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"chat_title": chat_title,
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"message_id": msg.id,
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"sender": sender,
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"text": text,
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"score": score,
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"chat_id": chat_id, "chat_title": chat_title, "message_id": msg.id,
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"sender": sender, "text": text, "score": score,
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"has_media": bool(msg.photo or msg.video or msg.document),
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"url": f"https://t.me/c/{str(chat_id).replace('-100', '')}/{msg.id}" if chat_id < 0 else None,
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}
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interesting.append(item)
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# Save to DB
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group_found += 1
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db.execute(
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"INSERT OR IGNORE INTO interesting (chat_id, chat_title, message_id, sender, text, score, captured_at) VALUES (?, ?, ?, ?, ?, ?, ?)",
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(chat_id, chat_title, msg.id, sender, text, score, datetime.now(timezone.utc).isoformat()),
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(chat_id, chat_title, msg.id, sender, text, score, now),
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)
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else:
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total_skipped += 1
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# Mark as processed
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db.execute("INSERT OR IGNORE INTO processed (chat_id, message_id) VALUES (?, ?)", (chat_id, msg.id))
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update_group_stats(db, chat_id, chat_title, group_found, now)
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db.commit()
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await c.stop()
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db.close()
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log.info(f"Read {total_read} messages, skipped {total_skipped}, found {len(interesting)} interesting")
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log.info(f"Scanned {total_groups} groups, read {total_read} msgs, found {len(interesting)} interesting")
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if not dry_run and interesting:
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for item in interesting:
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_print_item(item)
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# Group quality summary
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print(f"\n{'='*50}")
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print(f"📊 GROUP QUALITY SUMMARY")
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print(f"{'='*50}")
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db2 = sqlite3.connect(DB_PATH)
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rows = db2.execute(
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"SELECT chat_title, total_scanned, interesting_found, last_interesting_at FROM group_stats ORDER BY interesting_found DESC LIMIT 50"
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).fetchall()
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for title, scanned, found, last_interest in rows:
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status = "🟢" if found >= 1 else "🟡" if scanned >= 3 else "⚪"
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print(f"{status} {title} — {scanned} scans, {found} interesting, last signal: {last_interest or 'never'}")
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db2.close()
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return interesting
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def _print_item(item: dict):
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"""Print an interesting item for delivery."""
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print(f"\n{'='*50}")
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print(f"📌 {item['chat_title']} [{item['score']}pts]")
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if item['sender']:
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print(f"👤 {item['sender']}")
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if item['has_media']:
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print(f"📎 [has media]")
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if item['url']:
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print(f"🔗 {item['url']}")
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if item['sender']: print(f"👤 {item['sender']}")
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if item['has_media']: print(f"📎 [has media]")
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if item['url']: print(f"🔗 {item['url']}")
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print(f"\n{item['text'][:500]}")
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print(f"{'='*50}")
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