Aissa
5d60d33db1
Volledige Foodlinkk Command Center uitbreiding met social automatisering, reclamefolder filters, Proxmox monitoring en documentatie.
81 lines
3.5 KiB
Python
81 lines
3.5 KiB
Python
from __future__ import annotations
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from datetime import datetime, timedelta
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from typing import Optional
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from psycopg2.extras import RealDictCursor
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from app.db import get_connection
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def sentiment_score(text: str) -> float:
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try:
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from textblob import TextBlob
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blob = TextBlob(text)
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score = (blob.sentiment.polarity + 1) * 2 + 1
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except Exception:
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t = text.lower()
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neg = sum(1 for w in ("bad", "teleurgest", "klacht", "lang", "duur", "fout") if w in t)
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pos = sum(1 for w in ("geweldig", "aanrader", "fantast", "mooi", "lekker", "top") if w in t)
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raw = 3.0 + (pos - neg) * 0.5
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score = max(1.0, min(5.0, raw))
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return max(1.0, min(5.0, round(float(score), 2)))
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def evaluate_agent_rules(mention_id: Optional[int] = None) -> None:
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with get_connection() as conn:
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with conn.cursor(cursor_factory=RealDictCursor) as cur:
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cur.execute("SELECT * FROM agent_rules WHERE is_active = TRUE")
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rules = cur.fetchall()
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for rule in rules:
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if rule["condition_type"] == "sentiment_below":
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threshold = rule["threshold"] or 2.0
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if mention_id:
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cur.execute(
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"SELECT id, text, sentiment_score FROM social_mentions WHERE id = %s AND sentiment_score < %s",
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(mention_id, threshold),
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)
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else:
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cur.execute(
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"SELECT id, text, sentiment_score FROM social_mentions WHERE sentiment_score < %s ORDER BY created_at DESC LIMIT 5",
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(threshold,),
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)
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matches = cur.fetchall()
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for m in matches:
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cur.execute(
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"SELECT 1 FROM agent_logs WHERE rule_id = %s AND message LIKE %s",
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(rule["id"], f"%mention #{m['id']}%"),
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)
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if cur.fetchone():
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continue
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msg = (
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f"ALERT [{rule['name']}]: Negatief sentiment ({m['sentiment_score']}/5) "
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f"op mention #{m['id']}: {(m['text'] or '')[:120]}"
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)
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cur.execute(
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"INSERT INTO agent_logs (rule_id, message) VALUES (%s, %s)",
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(rule["id"], msg),
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)
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elif rule["condition_type"] == "mention_spike":
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threshold = int(rule["threshold"] or 5)
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since = datetime.now() - timedelta(hours=24)
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cur.execute(
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"SELECT COUNT(*) AS cnt FROM social_mentions WHERE created_at > %s",
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(since,),
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)
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count = cur.fetchone()["cnt"]
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if count >= threshold:
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msg = f"ALERT [{rule['name']}]: {count} mentions in 24u (drempel: {threshold})"
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cur.execute(
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"SELECT 1 FROM agent_logs WHERE rule_id = %s AND message = %s AND created_at > %s",
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(rule["id"], msg, since),
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)
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if not cur.fetchone():
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cur.execute(
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"INSERT INTO agent_logs (rule_id, message) VALUES (%s, %s)",
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(rule["id"], msg),
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)
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