feat(bot): add DeepSeek crisis fallback engine for Jev failure and remove difflib heuristics
- Add app/fallback_matcher.py for intelligent crisis entity matching with token and latency observability - Route Jev failure/timeouts in app/matching.py to DeepSeek fallback engine - Handle MatchingFailureError defensively in handlers/__init__.py with honest error message - Enforce strict 'new' entity status in handlers/quote.py and implement defensive get_or_create on commit - Clean up app/resolve.py to eliminate difflib and character ratio heuristics - Pass all smoke tests (59/59), fallback matching tests (15/15), and matching unit tests (13/13)
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@@ -229,16 +229,30 @@ async def handle_message(ctx: BotContext, chat_id: int, message: dict) -> None:
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await obs.event(trace_id, "entities.extracted",
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payload={"patch": patch, "intent": intent, "entity_mentions": mentions})
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# Phase 3: Jev per-field matching — only when it can be applied (flag-gated;
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# a failure leaves jev_map empty and the difflib path runs unchanged).
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# Entity matching (Jev primary, DeepSeek crisis fallback)
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jev_map: dict = {}
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if settings.JEV_ENABLED and mentions and intent in ("register_quote", "update_draft", "add_material"):
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if mentions and intent in ("register_quote", "update_draft", "add_material"):
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try:
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from app import matching
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jev_map = await matching.resolve_mentions(ctx, patch, mentions, trace_id)
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jev_map = await matching.resolve_mentions(
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ctx, patch, mentions, trace_id=trace_id, raw_input=input_payload
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)
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except matching.MatchingFailureError:
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logger.error("entity matching failed completely (crisis fallback failed)")
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await ctx.send(
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chat_id,
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"⚠️ سامانه در پردازش هوشمند موجودیتها با اختلال مواجه شد. لطفاً دوباره پیام را ارسال کنید.",
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reply_to=message_id,
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)
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return
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except Exception:
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logger.exception("jev matching failed")
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jev_map = {}
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logger.exception("unexpected matching failure")
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await ctx.send(
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chat_id,
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"⚠️ سامانه در پردازش هوشمند موجودیتها با اختلال مواجه شد. لطفاً دوباره پیام را ارسال کنید.",
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reply_to=message_id,
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)
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return
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if source == "voice":
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await ctx._log(chat_id, "in", "voice", consensus_text)
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