Michael Chihlas
ac89e7b2fa
Server-assigns a uuid4 id to every AI-generated node (Finding 1 showstopper:
nodes had no id but the advance protocol keys on node_id, so ai_build walks
never advanced past question 1). Replaces the hidden {"node_type":"meta"}
walked_path convention with real category/problem_text/pending_node columns on
l1_walk_sessions (migration 61dda4f615c6) — fixes junk proposals + off-by-one
depth cap (Findings 8,9), and pending_node replays the served node on re-mount
(no duplicate paid LLM call). Intake honors explicit flow_id and adhoc=True
(Findings 4,5); flow_proposals.l1_session_id FK -> CASCADE (Finding 6 time
bomb); L1 category GET is owner+admin like PATCH and require_account_owner_or_admin
delegates to User.can_manage_account (Finding 7); escalate falls back to default
recipients + filters deleted_at + warns when empty (Finding 10). Cleanups: dead
ticket_ref removed, IntakeResponse per-outcome validator, unused acknowledged
dropped, escalations partial index, restored a deleted audit assertion.
Full Phase 2A backend set: 110 passed / 0 failed.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
78 lines
3.2 KiB
Python
78 lines
3.2 KiB
Python
"""Intake orchestrator: match published flows first, gate generic build behind
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the account's enabled categories (spec §3). Match runs BEFORE the category gate
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so an authored flow is never blocked by category settings (Finding 4)."""
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import logging
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import re
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from typing import Any, Optional
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from uuid import UUID
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.ai_provider import get_ai_provider
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from app.core.config import settings
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from app.services import flow_matching_engine
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from app.services.l1_category_service import (
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DEFAULT_L1_CATEGORIES, get_enabled_categories, is_category_enabled,
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)
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from app.services.llm_utils import parse_llm_json
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logger = logging.getLogger(__name__)
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MATCH_THRESHOLD = 0.75 # spec §5.3
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SUGGEST_THRESHOLD = 0.60 # spec §5.3
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_CLASSIFY_PROMPT = (
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"Classify the IT support problem into exactly one of these category keys, "
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"or 'unknown'. Return JSON {\"category\":\"<key>\"} only.\nKEYS: "
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+ ", ".join(DEFAULT_L1_CATEGORIES)
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)
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async def classify(problem_text: str) -> str:
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"""Map a problem to a category key via a short model call; keyword fallback."""
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try:
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provider = get_ai_provider(settings.get_model_for_action("l1_classify"))
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raw, _, _ = await provider.generate_json(
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system_prompt=_CLASSIFY_PROMPT,
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messages=[{"role": "user", "content": problem_text}],
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max_tokens=64,
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)
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cat = parse_llm_json(raw).get("category", "unknown")
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return cat if cat in DEFAULT_L1_CATEGORIES else "unknown"
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except Exception as e: # noqa: BLE001 — fall back, never hard-fail intake
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logger.warning("classify model call failed (%s); keyword fallback", e)
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text = problem_text.lower()
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for cat in DEFAULT_L1_CATEGORIES:
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if any(re.search(rf"\b{re.escape(tok)}\b", text) for tok in cat.split("_")):
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return cat
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return "unknown"
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async def match_or_build(
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account_id: UUID,
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problem_text: str,
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problem_domain: Optional[str],
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*,
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db: AsyncSession,
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force_build: bool = False,
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) -> dict[str, Any]:
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if not force_build:
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hits = await flow_matching_engine.find_matches(
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problem_text, problem_domain, account_id, db)
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best = max(hits, key=lambda h: h["score"], default=None) if hits else None
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# find_matches returns tree_id as a UUID object; normalize the public
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# contract to str so callers can re-parse with UUID(...) without TypeError.
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if best and best["score"] >= MATCH_THRESHOLD:
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return {"outcome": "matched", "flow_id": str(best["tree_id"]), "session_kind": "flow"}
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if best and best["score"] >= SUGGEST_THRESHOLD:
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return {"outcome": "suggest",
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"near_miss": {"flow_id": str(best["tree_id"]), "flow_name": best["tree_name"],
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"score": best["score"]},
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"can_build": True}
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category = await classify(problem_text)
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enabled = await get_enabled_categories(account_id, db)
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if not is_category_enabled(category, enabled):
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return {"outcome": "out_of_scope", "category": category}
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return {"outcome": "build", "session_kind": "ai_build", "category": category}
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