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https://github.com/hansjone/netx.git
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Make forward-on-clear a global monitor toggle, run key-alert DDL in an isolated startup transaction, and fix HelpHint popovers plus API errors when the server returns non-JSON responses. Co-authored-by: Cursor <cursoragent@cursor.com>
148 lines
4.1 KiB
Python
148 lines
4.1 KiB
Python
from __future__ import annotations
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import re
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import threading
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import time
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from typing import Any
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from sqlalchemy.orm import Session
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from .models import UmeKeyAlertRule
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from .ume_sync_service import _is_alarm_cleared, _pick, _s, notification_id_from_norm
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_RULE_CACHE_LOCK = threading.Lock()
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_RULE_CACHE: list[UmeKeyAlertRule] = []
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_RULE_CACHE_LOADED_AT = 0.0
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_RULE_CACHE_TTL_S = 30.0
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_ITEM_SEP_RE = re.compile(r"[,,;;|\n]+")
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def _fold(text: str) -> str:
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"""Case-insensitive compare key for keyword matching."""
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return str(text or "").strip().casefold()
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def parse_rule_items(text: str) -> list[str]:
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"""Split batch rule input (comma/semicolon/newline separated)."""
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raw = str(text or "").strip()
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if not raw:
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return []
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parts = [p.strip() for p in _ITEM_SEP_RE.split(raw) if p.strip()]
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seen: set[str] = set()
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out: list[str] = []
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for part in parts:
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key = _fold(part)
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if key in seen:
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continue
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seen.add(key)
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out.append(part)
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return out
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def normalize_match_type(value: str) -> str:
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mt = str(value or "").strip().lower()
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if mt in {"keyword", "keywords", "desc", "description", "cause"}:
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return "keyword"
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return "notification_id"
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def rule_storage_key(*, match_type: str, value: str) -> str:
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mt = normalize_match_type(match_type)
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v = str(value or "").strip()
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if not v:
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raise ValueError("match value is required")
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if mt == "keyword":
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return f"kw:{_fold(v)[:120]}"
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return v[:128]
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def rule_match_value(row: UmeKeyAlertRule) -> str:
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mv = str(getattr(row, "match_value", "") or "").strip()
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if mv:
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return mv
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pk = str(row.notification_id or "").strip()
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if pk.startswith("kw:"):
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return pk[3:]
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return pk
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def rule_match_type(row: UmeKeyAlertRule) -> str:
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mt = str(getattr(row, "match_type", "") or "").strip().lower()
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if mt in {"keyword", "notification_id"}:
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return mt
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pk = str(row.notification_id or "").strip()
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return "keyword" if pk.startswith("kw:") else "notification_id"
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def invalidate_key_alert_rule_cache() -> None:
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global _RULE_CACHE_LOADED_AT
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with _RULE_CACHE_LOCK:
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_RULE_CACHE.clear()
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_RULE_CACHE_LOADED_AT = 0.0
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def _load_enabled_rules(db: Session) -> list[UmeKeyAlertRule]:
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global _RULE_CACHE_LOADED_AT
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now = time.time()
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with _RULE_CACHE_LOCK:
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if _RULE_CACHE and (now - _RULE_CACHE_LOADED_AT) < _RULE_CACHE_TTL_S:
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return list(_RULE_CACHE)
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rows = (
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db.query(UmeKeyAlertRule)
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.filter(UmeKeyAlertRule.enabled == 1)
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.all()
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)
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with _RULE_CACHE_LOCK:
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_RULE_CACHE.clear()
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_RULE_CACHE.extend(rows)
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_RULE_CACHE_LOADED_AT = now
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return list(rows)
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def _alarm_search_text(norm: dict[str, Any]) -> str:
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parts = [
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notification_id_from_norm(norm),
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_s(_pick(norm, "nativeProbableCause", "native-probable-cause")),
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_s(_pick(norm, "objectName", "object-name")),
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_s(_pick(norm, "eventType", "event-type")),
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]
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return " ".join(p for p in parts if p).casefold()
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def _keyword_matches(norm: dict[str, Any], keyword: str) -> bool:
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kw = _fold(keyword)
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if not kw:
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return False
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return kw in _alarm_search_text(norm)
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def _rule_matches_norm(rule: UmeKeyAlertRule, norm: dict[str, Any]) -> bool:
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mt = rule_match_type(rule)
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mv = rule_match_value(rule)
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if mt == "keyword":
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return _keyword_matches(norm, mv)
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nid = notification_id_from_norm(norm)
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return bool(nid) and nid == mv
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def match_key_alert_rule(
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db: Session,
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*,
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norm: dict[str, Any],
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action: str,
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) -> UmeKeyAlertRule | None:
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act = str(action or "").strip().lower()
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for rule in _load_enabled_rules(db):
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if not _rule_matches_norm(rule, norm):
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continue
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if act in {"inserted", "updated"}:
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if _is_alarm_cleared(norm):
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continue
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return rule
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if act == "deleted":
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from .key_alert_config import is_forward_on_clear_enabled
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if is_forward_on_clear_enabled(db):
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return rule
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return None
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