feat(l1): flywheel capture on resolve + engineer notification on escalate
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
@@ -11,6 +11,7 @@ VALID_EVENTS = {
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"proposal.pending",
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"proposal.approved",
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"knowledge_gap.detected",
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"l1.session.escalated",
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}
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@@ -7,6 +7,7 @@ from datetime import datetime, timezone
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from typing import Optional
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from uuid import UUID
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.audit import log_audit
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@@ -15,6 +16,7 @@ from app.models.l1_walk_session import L1WalkSession
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from app.models.user import User
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from app.services import ai_tree_builder
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from app.services import internal_ticket_service
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from app.services.notification_service import notify
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def _resolve_acting_as(user: User) -> Optional[str]:
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@@ -263,6 +265,24 @@ async def resolve(
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if proposal:
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proposal.validated_by_outcome = True
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# Flywheel capture: persist a validated FlowProposal for ai_build sessions
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# resolved as helpful. Captures the AI-generated path as training signal.
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if helpful and session.session_kind == "ai_build" and session.walked_path:
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tree_structure = ai_tree_builder.normalize_walked_path(session.walked_path)
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db.add(FlowProposal(
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account_id=session.account_id,
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l1_session_id=session.id,
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source_session_id=None,
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proposal_type="new_flow",
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title=(session.resolution_notes or "AI L1 resolution")[:255],
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proposed_flow_data={"tree_structure": tree_structure, "match_keywords": []},
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source="ai_realtime_l1",
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validated_by_outcome=True,
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linked_ticket_id=session.ticket_id,
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linked_ticket_kind=session.ticket_kind,
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status="pending",
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))
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if session.ticket_kind == "internal":
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await internal_ticket_service.update_status(
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db,
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@@ -339,6 +359,28 @@ async def escalate(
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account_id=session.account_id,
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acting_as=session.acting_as,
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)
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# Notify engineers (owner/admin/engineer roles) about the escalation.
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eng_rows = await db.execute(
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select(User.id).where(
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User.account_id == session.account_id,
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User.is_active.is_(True),
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User.account_role.in_(("owner", "admin", "engineer")),
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)
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)
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target_ids = [r[0] for r in eng_rows.all()]
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await notify(
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"l1.session.escalated",
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session.account_id,
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{
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"problem_summary": session.ticket_id,
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"session_id": str(session.id),
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"reason_category": reason_category,
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},
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db,
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target_user_ids=target_ids,
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)
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await db.flush()
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return session
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@@ -381,6 +381,7 @@ def _build_notification_title(event: str, payload: dict[str, Any]) -> str:
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"proposal.pending": "New flow proposal: {title}",
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"proposal.approved": "Flow proposal approved: {title}",
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"knowledge_gap.detected": "Knowledge gap detected: {gap_type}",
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"l1.session.escalated": "L1 session escalated: {problem_summary}",
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"test": "Test Notification from ResolutionFlow",
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}
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@@ -415,6 +416,7 @@ def _build_notification_body(event: str, payload: dict[str, Any]) -> str:
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"proposal.pending": "A new flow proposal \"{title}\" is awaiting review in the review queue.",
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"proposal.approved": "The flow proposal \"{title}\" has been approved and is ready for use.",
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"knowledge_gap.detected": "A {gap_type} knowledge gap has been identified. Review recommended.",
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"l1.session.escalated": "L1 escalated a ticket: {problem_summary}",
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"test": "This is a test notification to verify your notification channel is working correctly.",
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}
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template = bodies.get(event, f"Event: {event}")
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@@ -437,6 +439,9 @@ def _build_notification_link(event: str, payload: dict[str, Any]) -> Optional[st
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"proposal.pending": "/review-queue",
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"proposal.approved": "/review-queue",
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"knowledge_gap.detected": "/analytics/flowpilot",
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# L1 AI-build escalations go to the escalations dashboard — not to
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# a specific pilot session, which may not have a pickup flow.
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"l1.session.escalated": "/escalations",
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}
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template = links.get(event)
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if template is None:
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