92cc62bcbd
- Add _parse_triage_update_marker() parser following existing marker pattern - Add [TRIAGE_UPDATE] instructions to system prompt with grounding rules - Add QuestionItem.options support in question parser - Wire triage extraction into both main and branch-aware chat paths - Auto-PATCH session: AI only fills null fields (manual edits win) - Evidence items: AI appends only, never modifies existing - Return triage_update in ChatMessageResponse for frontend header sync Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
1204 lines
41 KiB
Python
1204 lines
41 KiB
Python
"""FlowPilot AI session endpoints.
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CRUD and interaction endpoints for AI-powered troubleshooting sessions:
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POST /ai-sessions — Start a new session
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POST /ai-sessions/{id}/respond — Submit step response, get next step
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POST /ai-sessions/{id}/resolve — Resolve the session
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POST /ai-sessions/{id}/escalate — Escalate the session
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GET /ai-sessions — List user's sessions (paginated)
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GET /ai-sessions/{id} — Get session detail with all steps
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GET /ai-sessions/{id}/documentation — Get auto-generated documentation
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POST /ai-sessions/{id}/rate — Submit post-session rating
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"""
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import logging
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from datetime import datetime
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from typing import Annotated, Optional
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from uuid import UUID
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from fastapi import APIRouter, Depends, HTTPException, Query, Request, status
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from sqlalchemy import or_, select, func, text
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy.orm import selectinload
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from app.core.rate_limit import limiter
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from app.api.deps import get_current_active_user, get_db, require_engineer_or_admin
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from app.core.config import settings
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from app.core.ai_quota_service import check_ai_quota, record_ai_usage, get_user_plan
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from app.models.user import User
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from app.models.ai_session import AISession
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from app.schemas.ai_session import (
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AISessionCreateRequest,
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AISessionCreateResponse,
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StepResponseRequest,
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StepResponseResponse,
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ResolveSessionRequest,
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EscalateSessionRequest,
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SessionCloseResponse,
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SessionDocumentation,
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RateSessionRequest,
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StatusUpdateRequest,
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StatusUpdateResponse,
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PickupSessionRequest,
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LinkTicketRequest,
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AISessionSummary,
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AISessionDetail,
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AISessionStepResponse,
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AISessionSearchResult,
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StepOptionSchema,
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ChatSessionCreateResponse,
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ChatMessageRequest,
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ChatMessageResponse,
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SaveTaskLaneRequest,
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TriagePatchRequest,
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TriagePatchResponse,
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)
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from app.services import flowpilot_engine
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from app.services import unified_chat_service
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from app.services.psa_documentation_service import retry_failed_push
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/ai-sessions", tags=["ai-sessions"])
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def _build_session_detail(session: AISession) -> AISessionDetail:
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"""Build AISessionDetail from ORM session with properly mapped steps.
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AISessionDetail.model_validate(session) fails because the ORM steps
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relationship uses 'id' while AISessionStepResponse expects 'step_id'.
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This helper manually maps all fields to avoid that validation error.
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"""
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step_responses = []
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for step in (session.steps or []):
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options = []
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if step.options_presented:
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options = [
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StepOptionSchema(
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label=opt.get("label", ""),
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value=opt.get("value", ""),
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followup_hint=opt.get("followup_hint"),
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)
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for opt in step.options_presented
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]
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content = step.content or {}
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step_responses.append(AISessionStepResponse(
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step_id=step.id,
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step_order=step.step_order,
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step_type=step.step_type,
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content=content,
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context_message=step.context_message,
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options=options,
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allow_free_text=content.get("allow_free_text", True),
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allow_skip=content.get("allow_skip", True),
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confidence_tier=session.confidence_tier,
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confidence_score=step.confidence_at_step,
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))
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return AISessionDetail(
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id=session.id,
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session_type=getattr(session, 'session_type', 'guided'),
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title=getattr(session, 'title', None),
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status=session.status,
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intake_type=session.intake_type,
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intake_content=session.intake_content or {},
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problem_summary=session.problem_summary,
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problem_domain=session.problem_domain,
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confidence_tier=session.confidence_tier,
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step_count=session.step_count,
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session_rating=session.session_rating,
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psa_ticket_id=session.psa_ticket_id,
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psa_connection_id=session.psa_connection_id,
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escalation_reason=session.escalation_reason,
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matched_flow_id=session.matched_flow_id,
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match_score=getattr(session, 'match_score', None),
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resolution_summary=session.resolution_summary,
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resolution_action=getattr(session, 'resolution_action', None),
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session_feedback=session.session_feedback,
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ticket_data=session.ticket_data,
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created_at=session.created_at,
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resolved_at=session.resolved_at,
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steps=step_responses,
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conversation_messages=session.conversation_messages or [],
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pending_task_lane=session.pending_task_lane,
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is_branching=getattr(session, 'is_branching', False),
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active_branch_id=str(session.active_branch_id) if getattr(session, 'active_branch_id', None) else None,
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client_name=getattr(session, 'client_name', None),
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asset_name=getattr(session, 'asset_name', None),
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issue_category=getattr(session, 'issue_category', None),
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triage_hypothesis=getattr(session, 'triage_hypothesis', None),
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evidence_items=getattr(session, 'evidence_items', None),
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)
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def _require_ai_enabled() -> None:
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if not settings.ai_enabled:
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raise HTTPException(
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status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
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detail="AI is not configured. Set GOOGLE_AI_API_KEY or ANTHROPIC_API_KEY.",
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)
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async def _check_quota(user: User, db: AsyncSession) -> None:
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"""Check AI quota and raise 429 if exceeded."""
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allowed, quota_status = await check_ai_quota(
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user_id=user.id,
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account_id=user.account_id,
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db=db,
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billing_anchor=user.ai_billing_cycle_anchor_at,
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is_super_admin=user.is_super_admin,
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)
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if not allowed:
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reset_key = "daily_reset_at" if quota_status.get("deny_reason") == "daily" else "monthly_reset_at"
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raise HTTPException(
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status_code=status.HTTP_429_TOO_MANY_REQUESTS,
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detail={
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"message": f"AI limit exceeded ({quota_status['deny_reason']})",
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"reset_at": quota_status.get(reset_key),
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"quota": quota_status,
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},
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)
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async def _record_usage(
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user: User,
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db: AsyncSession,
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generation_type: str,
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input_tokens: int,
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output_tokens: int,
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succeeded: bool,
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session_id: Optional[UUID] = None,
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error_code: Optional[str] = None,
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) -> None:
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"""Record AI usage after an LLM call."""
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plan = await get_user_plan(user.account_id, db)
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estimated_cost = (
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input_tokens * 3.0 / 1_000_000
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+ output_tokens * 15.0 / 1_000_000
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)
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await record_ai_usage(
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user_id=user.id,
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account_id=user.account_id,
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conversation_id=None,
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generation_type=generation_type,
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tier=plan,
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input_tokens=input_tokens,
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output_tokens=output_tokens,
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estimated_cost=estimated_cost,
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succeeded=succeeded,
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counts_toward_quota=True,
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error_code=error_code,
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extra_data={"ai_session_id": str(session_id)} if session_id else None,
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db=db,
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)
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# ── Create session ──
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@router.post("", status_code=201)
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@limiter.limit("5/minute")
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async def create_session(
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request: Request,
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data: AISessionCreateRequest,
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current_user: Annotated[User, Depends(get_current_active_user)],
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db: Annotated[AsyncSession, Depends(get_db)],
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_: None = Depends(require_engineer_or_admin),
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):
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"""Start a new FlowPilot or chat session."""
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_require_ai_enabled()
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await _check_quota(current_user, db)
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# Chat sessions use a different creation path
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if data.session_type == "chat":
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try:
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session = await unified_chat_service.create_chat_session(
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user_id=current_user.id,
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account_id=current_user.account_id,
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team_id=current_user.team_id,
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intake_content=data.intake_content,
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db=db,
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)
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except Exception as e:
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logger.exception("Chat session creation failed: %s", e)
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail="Failed to create chat session",
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)
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await db.commit()
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return ChatSessionCreateResponse(
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session_id=session.id,
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title=session.title or "New Chat",
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status=session.status,
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)
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try:
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result = await flowpilot_engine.start_session(
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request=data,
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user_id=current_user.id,
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account_id=current_user.account_id,
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team_id=current_user.team_id,
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db=db,
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)
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except Exception as e:
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logger.exception("FlowPilot session start failed: %s", e)
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# Rollback the failed transaction before attempting usage recording
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await db.rollback()
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try:
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await _record_usage(
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current_user, db,
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generation_type="flowpilot_start",
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input_tokens=0, output_tokens=0,
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succeeded=False, error_code=type(e).__name__,
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)
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await db.commit()
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except Exception:
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logger.warning("Failed to record usage after session start failure", exc_info=True)
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raise HTTPException(
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status_code=status.HTTP_502_BAD_GATEWAY,
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detail=f"AI provider error ({type(e).__name__}). Please try again.",
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)
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await _record_usage(
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current_user, db,
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generation_type="flowpilot_start",
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input_tokens=result.first_step.confidence_score and 0, # Tracked on session
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output_tokens=0,
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succeeded=True,
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session_id=result.session_id,
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)
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await db.commit()
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return result
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# ── Chat message ──
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@router.post("/{session_id}/chat", response_model=ChatMessageResponse)
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@limiter.limit("10/minute")
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async def send_chat_message(
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request: Request,
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session_id: UUID,
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data: ChatMessageRequest,
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current_user: Annotated[User, Depends(get_current_active_user)],
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db: Annotated[AsyncSession, Depends(get_db)],
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_: None = Depends(require_engineer_or_admin),
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):
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"""Send a message in a chat session and get AI response."""
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_require_ai_enabled()
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await _check_quota(current_user, db)
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user_id = current_user.id
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account_id = current_user.account_id
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# Fetch attached uploads from S3 (if any)
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images = None
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message = data.message
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if data.upload_ids:
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from app.services.storage_service import fetch_upload_images, fetch_upload_documents
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images = await fetch_upload_images(data.upload_ids, account_id, db) or None
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# Inject document text (PDFs, text files) as context in the message
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documents = await fetch_upload_documents(data.upload_ids, account_id, db)
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if documents:
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doc_parts = []
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for doc in documents:
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doc_parts.append(f"--- Attached file: {doc['filename']} ---\n{doc['text']}")
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doc_context = "\n\n".join(doc_parts)
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message = f"{message}\n\n[Attached document content]\n{doc_context}"
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try:
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ai_content, suggested_flows, session, fork_metadata, actions_data, questions_data, triage_update_data = await unified_chat_service.send_chat_message(
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session_id=session_id,
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user_id=user_id,
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account_id=account_id,
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message=message,
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db=db,
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images=images,
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)
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except ValueError as e:
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raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))
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except Exception as e:
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logger.exception("Chat message failed: %s", e)
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await db.rollback()
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try:
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await _record_usage(
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current_user, db,
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generation_type="chat_message",
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input_tokens=0, output_tokens=0,
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succeeded=False,
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session_id=session_id,
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error_code=type(e).__name__,
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)
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await db.commit()
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except Exception:
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logger.warning("Failed to record usage after chat failure", exc_info=True)
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raise HTTPException(
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status_code=status.HTTP_502_BAD_GATEWAY,
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detail=f"AI provider error ({type(e).__name__}). Please try again.",
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)
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await _record_usage(
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current_user, db,
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generation_type="chat_message",
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input_tokens=0, output_tokens=0,
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succeeded=True,
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session_id=session_id,
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)
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await db.commit()
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return ChatMessageResponse(
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content=ai_content,
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suggested_flows=suggested_flows,
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fork=fork_metadata,
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actions=actions_data,
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questions=questions_data,
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triage_update=triage_update_data,
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)
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# ── Respond to step ──
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@router.post("/{session_id}/respond", response_model=StepResponseResponse)
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@limiter.limit("15/minute")
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async def respond_to_step(
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request: Request,
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session_id: UUID,
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data: StepResponseRequest,
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current_user: Annotated[User, Depends(get_current_active_user)],
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db: Annotated[AsyncSession, Depends(get_db)],
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_: None = Depends(require_engineer_or_admin),
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):
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"""Submit an engineer's response to a FlowPilot step and get the next step."""
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_require_ai_enabled()
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await _check_quota(current_user, db)
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try:
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result = await flowpilot_engine.process_response(
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session_id=session_id,
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request=data,
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user_id=current_user.id,
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db=db,
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)
|
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except ValueError as e:
|
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raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))
|
|
except PermissionError as e:
|
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raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=str(e))
|
|
except Exception as e:
|
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logger.exception("FlowPilot response failed: %s", e)
|
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await db.rollback()
|
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try:
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await _record_usage(
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current_user, db,
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generation_type="flowpilot_respond",
|
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input_tokens=0, output_tokens=0,
|
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succeeded=False,
|
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session_id=session_id,
|
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error_code=type(e).__name__,
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)
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await db.commit()
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except Exception:
|
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logger.warning("Failed to record usage after response failure", exc_info=True)
|
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raise HTTPException(
|
|
status_code=status.HTTP_502_BAD_GATEWAY,
|
|
detail=f"AI provider error ({type(e).__name__}). Please try again.",
|
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)
|
|
|
|
await _record_usage(
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current_user, db,
|
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generation_type="flowpilot_respond",
|
|
input_tokens=0, output_tokens=0,
|
|
succeeded=True,
|
|
session_id=session_id,
|
|
)
|
|
await db.commit()
|
|
|
|
return result
|
|
|
|
|
|
# ── Resolve ──
|
|
|
|
@router.post("/{session_id}/resolve", response_model=SessionCloseResponse)
|
|
@limiter.limit("15/minute")
|
|
async def resolve_session(
|
|
request: Request,
|
|
session_id: UUID,
|
|
data: ResolveSessionRequest,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
_: None = Depends(require_engineer_or_admin),
|
|
):
|
|
"""Resolve a session. Returns immediately; use /documentation/stream for ticket notes."""
|
|
try:
|
|
result = await flowpilot_engine.resolve_session(
|
|
session_id=session_id,
|
|
request=data,
|
|
user_id=current_user.id,
|
|
db=db,
|
|
)
|
|
except ValueError as e:
|
|
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))
|
|
except PermissionError as e:
|
|
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=str(e))
|
|
|
|
await db.commit()
|
|
|
|
# Fire-and-forget: resolution outputs (don't block the response)
|
|
import asyncio
|
|
|
|
async def _post_resolve_tasks():
|
|
try:
|
|
from app.services.resolution_output_generator import ResolutionOutputGenerator
|
|
gen = ResolutionOutputGenerator(db)
|
|
await gen.generate_all(
|
|
session_id,
|
|
root_cause=data.root_cause,
|
|
steps_taken=data.steps_taken,
|
|
recommendations=data.recommendations,
|
|
)
|
|
except Exception:
|
|
logger.exception(f"Failed to generate resolution outputs for session {session_id}")
|
|
|
|
asyncio.create_task(_post_resolve_tasks())
|
|
|
|
return result
|
|
|
|
|
|
# ── Escalate ──
|
|
|
|
@router.post("/{session_id}/escalate", response_model=SessionCloseResponse)
|
|
@limiter.limit("15/minute")
|
|
async def escalate_session(
|
|
request: Request,
|
|
session_id: UUID,
|
|
data: EscalateSessionRequest,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
_: None = Depends(require_engineer_or_admin),
|
|
):
|
|
"""Escalate a FlowPilot session to another engineer."""
|
|
try:
|
|
result = await flowpilot_engine.escalate_session(
|
|
session_id=session_id,
|
|
request=data,
|
|
user_id=current_user.id,
|
|
db=db,
|
|
)
|
|
except ValueError as e:
|
|
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))
|
|
except PermissionError as e:
|
|
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=str(e))
|
|
|
|
await db.commit()
|
|
return result
|
|
|
|
|
|
# ── Pause ──
|
|
|
|
@router.post("/{session_id}/pause", status_code=204)
|
|
@limiter.limit("15/minute")
|
|
async def pause_session(
|
|
request: Request,
|
|
session_id: UUID,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
_: None = Depends(require_engineer_or_admin),
|
|
):
|
|
"""Pause an active FlowPilot session for later resume."""
|
|
try:
|
|
await flowpilot_engine.pause_session(
|
|
session_id=session_id,
|
|
user_id=current_user.id,
|
|
db=db,
|
|
)
|
|
except ValueError as e:
|
|
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))
|
|
except PermissionError as e:
|
|
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=str(e))
|
|
|
|
await db.commit()
|
|
|
|
|
|
# ── Save Task Lane ──
|
|
|
|
@router.put("/{session_id}/task-lane", status_code=204)
|
|
@limiter.limit("30/minute")
|
|
async def save_task_lane(
|
|
request: Request,
|
|
session_id: UUID,
|
|
body: SaveTaskLaneRequest,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
_: None = Depends(require_engineer_or_admin),
|
|
):
|
|
"""Save the current task lane state including user's in-progress responses."""
|
|
session = await db.get(AISession, session_id)
|
|
if not session:
|
|
raise HTTPException(status_code=404, detail="Session not found")
|
|
if session.user_id != current_user.id:
|
|
raise HTTPException(status_code=403, detail="Not your session")
|
|
|
|
payload = {
|
|
"questions": [q.model_dump() for q in body.questions],
|
|
"actions": [a.model_dump() for a in body.actions],
|
|
"responses": body.responses,
|
|
}
|
|
|
|
# Guard against oversized payloads (max 256KB serialized)
|
|
import json
|
|
if len(json.dumps(payload)) > 256 * 1024:
|
|
raise HTTPException(status_code=413, detail="Task lane payload too large")
|
|
|
|
session.pending_task_lane = payload
|
|
await db.commit()
|
|
|
|
|
|
# ── Triage Metadata ──
|
|
|
|
@router.patch("/{session_id}/triage", response_model=TriagePatchResponse)
|
|
@limiter.limit("30/minute")
|
|
async def update_triage(
|
|
request: Request,
|
|
session_id: UUID,
|
|
body: TriagePatchRequest,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
_: None = Depends(require_engineer_or_admin),
|
|
):
|
|
"""Update triage metadata on a session (incident header fields)."""
|
|
session = await db.get(AISession, session_id)
|
|
if not session:
|
|
raise HTTPException(status_code=404, detail="Session not found")
|
|
if session.user_id != current_user.id:
|
|
raise HTTPException(status_code=403, detail="Not your session")
|
|
|
|
patch_data = body.model_dump(exclude_unset=True)
|
|
for field, value in patch_data.items():
|
|
setattr(session, field, value)
|
|
|
|
await db.commit()
|
|
await db.refresh(session)
|
|
|
|
return TriagePatchResponse(
|
|
id=session.id,
|
|
client_name=session.client_name,
|
|
asset_name=session.asset_name,
|
|
issue_category=session.issue_category,
|
|
triage_hypothesis=session.triage_hypothesis,
|
|
evidence_items=session.evidence_items,
|
|
)
|
|
|
|
|
|
# ── Handoff Draft ──
|
|
|
|
@router.post("/{session_id}/handoff-draft")
|
|
@limiter.limit("10/minute")
|
|
async def handoff_draft(
|
|
request: Request,
|
|
session_id: UUID,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
_: None = Depends(require_engineer_or_admin),
|
|
):
|
|
"""Stream a structured handoff draft for the conclude modal."""
|
|
from fastapi.responses import StreamingResponse
|
|
from app.services.assistant_chat_service import _call_ai
|
|
|
|
session = await db.get(AISession, session_id)
|
|
if not session:
|
|
raise HTTPException(status_code=404, detail="Session not found")
|
|
if session.user_id != current_user.id:
|
|
raise HTTPException(status_code=403, detail="Not your session")
|
|
|
|
# Build context from session data
|
|
context_parts = [
|
|
f"Problem: {session.problem_summary or 'Unknown'}",
|
|
f"Domain: {session.problem_domain or 'Unknown'}",
|
|
f"Client: {session.client_name or 'Unknown'}",
|
|
f"Asset: {session.asset_name or 'Unknown'}",
|
|
f"Hypothesis: {session.triage_hypothesis or 'None'}",
|
|
]
|
|
|
|
if session.evidence_items:
|
|
context_parts.append("\nEvidence collected:")
|
|
for item in session.evidence_items:
|
|
status_icon = {"confirmed": "✓", "ruled_out": "✗", "pending": "?"}.get(item.get("status", ""), "?")
|
|
context_parts.append(f" {status_icon} {item.get('text', '')}")
|
|
|
|
# Include task lane steps if available
|
|
if session.pending_task_lane:
|
|
actions = session.pending_task_lane.get("actions", [])
|
|
if actions:
|
|
context_parts.append("\nSteps taken:")
|
|
for a in actions:
|
|
context_parts.append(f" - {a.get('label', '')}")
|
|
|
|
# Include last 20 conversation messages
|
|
msgs = session.conversation_messages or []
|
|
if msgs:
|
|
context_parts.append("\nRecent conversation:")
|
|
for msg in msgs[-20:]:
|
|
role = msg.get("role", "unknown")
|
|
content = msg.get("content", "")[:300]
|
|
context_parts.append(f" [{role}]: {content}")
|
|
|
|
context = "\n".join(context_parts)
|
|
|
|
prompt = (
|
|
"Generate a structured handoff summary for this troubleshooting session.\n"
|
|
"Return ONLY valid JSON with exactly these four fields:\n"
|
|
'{"root_cause": "...", "resolution": "...", "steps_taken": ["step1", "step2"], "recommendations": "..."}\n\n'
|
|
f"Session context:\n{context}"
|
|
)
|
|
|
|
async def generate():
|
|
try:
|
|
content, _, _ = await _call_ai(
|
|
system_base="You are a concise technical documentation assistant for MSP teams. Return only JSON.",
|
|
rag_context="",
|
|
history=[],
|
|
new_message=prompt,
|
|
max_tokens=1024,
|
|
)
|
|
yield f"data: {content}\n\n"
|
|
except Exception as e:
|
|
logger.exception(f"Handoff draft generation failed for session {session_id}")
|
|
import json
|
|
yield f"data: {json.dumps({'error': str(e)})}\n\n"
|
|
|
|
return StreamingResponse(generate(), media_type="text/event-stream")
|
|
|
|
|
|
# ── Resume ──
|
|
|
|
@router.post("/{session_id}/resume", status_code=204)
|
|
@limiter.limit("15/minute")
|
|
async def resume_session(
|
|
request: Request,
|
|
session_id: UUID,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
_: None = Depends(require_engineer_or_admin),
|
|
):
|
|
"""Resume a paused FlowPilot session."""
|
|
try:
|
|
await flowpilot_engine.resume_session(
|
|
session_id=session_id,
|
|
user_id=current_user.id,
|
|
db=db,
|
|
)
|
|
except ValueError as e:
|
|
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))
|
|
except PermissionError as e:
|
|
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=str(e))
|
|
|
|
await db.commit()
|
|
|
|
|
|
# ── Abandon / Close ──
|
|
|
|
@router.post("/{session_id}/abandon", status_code=204)
|
|
@limiter.limit("15/minute")
|
|
async def abandon_session(
|
|
request: Request,
|
|
session_id: UUID,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
_: None = Depends(require_engineer_or_admin),
|
|
reason: str | None = None,
|
|
):
|
|
"""Close a session without resolving or escalating."""
|
|
try:
|
|
await flowpilot_engine.abandon_session(
|
|
session_id=session_id,
|
|
user_id=current_user.id,
|
|
reason=reason,
|
|
db=db,
|
|
)
|
|
except ValueError as e:
|
|
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))
|
|
except PermissionError as e:
|
|
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=str(e))
|
|
|
|
await db.commit()
|
|
|
|
|
|
# ── Delete ──
|
|
|
|
@router.delete("/{session_id}", status_code=204)
|
|
async def delete_session(
|
|
session_id: UUID,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
):
|
|
"""Delete a session (owner only)."""
|
|
result = await db.execute(
|
|
select(AISession).where(
|
|
AISession.id == session_id,
|
|
AISession.user_id == current_user.id,
|
|
)
|
|
)
|
|
session = result.scalar_one_or_none()
|
|
if not session:
|
|
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Session not found")
|
|
|
|
await db.delete(session)
|
|
await db.commit()
|
|
|
|
|
|
# ── Escalation Queue ──
|
|
|
|
@router.get("/escalation-queue", response_model=list[AISessionSummary])
|
|
@limiter.limit("30/minute")
|
|
async def get_escalation_queue(
|
|
request: Request,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
_: None = Depends(require_engineer_or_admin),
|
|
):
|
|
"""List sessions requesting escalation for the current user's team/account."""
|
|
# Match by team_id if available, otherwise fall back to account_id
|
|
if current_user.team_id:
|
|
scope_filter = AISession.team_id == current_user.team_id
|
|
elif current_user.account_id:
|
|
scope_filter = AISession.account_id == current_user.account_id
|
|
else:
|
|
return []
|
|
|
|
result = await db.execute(
|
|
select(AISession)
|
|
.where(
|
|
scope_filter,
|
|
AISession.status == "requesting_escalation",
|
|
)
|
|
.order_by(AISession.created_at.desc())
|
|
)
|
|
sessions = result.scalars().all()
|
|
return [AISessionSummary.model_validate(s) for s in sessions]
|
|
|
|
|
|
# ── Pickup Escalated Session ──
|
|
|
|
@router.post("/{session_id}/pickup", response_model=StepResponseResponse)
|
|
@limiter.limit("5/minute")
|
|
async def pickup_session(
|
|
request: Request,
|
|
session_id: UUID,
|
|
data: PickupSessionRequest,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
_: None = Depends(require_engineer_or_admin),
|
|
):
|
|
"""Pick up an escalated session as a new engineer."""
|
|
_require_ai_enabled()
|
|
await _check_quota(current_user, db)
|
|
|
|
try:
|
|
result = await flowpilot_engine.pickup_session(
|
|
session_id=session_id,
|
|
resume_mode=data.resume_mode,
|
|
additional_context=data.additional_context,
|
|
user_id=current_user.id,
|
|
team_id=current_user.team_id,
|
|
db=db,
|
|
)
|
|
except ValueError as e:
|
|
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))
|
|
except PermissionError as e:
|
|
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=str(e))
|
|
except Exception as e:
|
|
logger.exception("FlowPilot pickup failed: %s", e)
|
|
await db.rollback()
|
|
try:
|
|
await _record_usage(
|
|
current_user, db,
|
|
generation_type="flowpilot_pickup",
|
|
input_tokens=0, output_tokens=0,
|
|
succeeded=False,
|
|
session_id=session_id,
|
|
error_code=type(e).__name__,
|
|
)
|
|
await db.commit()
|
|
except Exception:
|
|
logger.warning("Failed to record usage after pickup failure", exc_info=True)
|
|
raise HTTPException(
|
|
status_code=status.HTTP_502_BAD_GATEWAY,
|
|
detail=f"AI provider error ({type(e).__name__}). Please try again.",
|
|
)
|
|
|
|
await _record_usage(
|
|
current_user, db,
|
|
generation_type="flowpilot_pickup",
|
|
input_tokens=0, output_tokens=0,
|
|
succeeded=True,
|
|
session_id=session_id,
|
|
)
|
|
await db.commit()
|
|
|
|
return result
|
|
|
|
|
|
# ── Link Ticket ──
|
|
|
|
@router.post("/{session_id}/link-ticket", response_model=AISessionDetail)
|
|
@limiter.limit("10/minute")
|
|
async def link_ticket_to_session(
|
|
request: Request,
|
|
session_id: UUID,
|
|
data: LinkTicketRequest,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
_: None = Depends(require_engineer_or_admin),
|
|
):
|
|
"""Link a PSA ticket to an in-progress session retroactively."""
|
|
try:
|
|
await flowpilot_engine.link_ticket(
|
|
session_id=session_id,
|
|
psa_ticket_id=data.psa_ticket_id,
|
|
psa_connection_id=data.psa_connection_id,
|
|
user_id=current_user.id,
|
|
db=db,
|
|
)
|
|
except ValueError as e:
|
|
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))
|
|
except PermissionError as e:
|
|
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=str(e))
|
|
|
|
await db.commit()
|
|
|
|
# Return updated session detail
|
|
result = await db.execute(
|
|
select(AISession)
|
|
.options(selectinload(AISession.steps))
|
|
.where(AISession.id == session_id)
|
|
)
|
|
session = result.scalar_one_or_none()
|
|
if not session:
|
|
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Session not found")
|
|
|
|
return _build_session_detail(session)
|
|
|
|
|
|
# ── Search sessions (Command Palette) ──
|
|
|
|
@router.get("/search", response_model=list[AISessionSearchResult])
|
|
@limiter.limit("30/minute")
|
|
async def search_sessions(
|
|
request: Request,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
q: str = Query(..., min_length=2, max_length=200),
|
|
limit: int = Query(5, ge=1, le=20),
|
|
):
|
|
"""Search AI sessions by content using full-text search. Used by Command Palette."""
|
|
result = await db.execute(
|
|
select(AISession)
|
|
.where(
|
|
or_(
|
|
AISession.user_id == current_user.id,
|
|
AISession.account_id == current_user.account_id,
|
|
),
|
|
text("ai_sessions.search_vector @@ plainto_tsquery('english', :q)"),
|
|
)
|
|
.params(q=q)
|
|
.order_by(AISession.created_at.desc())
|
|
.limit(limit)
|
|
)
|
|
sessions = result.scalars().all()
|
|
return [
|
|
AISessionSearchResult(
|
|
id=s.id,
|
|
problem_summary=s.problem_summary,
|
|
problem_domain=s.problem_domain,
|
|
status=s.status,
|
|
created_at=s.created_at,
|
|
)
|
|
for s in sessions
|
|
]
|
|
|
|
|
|
# ── Similar Sessions ──
|
|
|
|
@router.get("/{session_id}/similar")
|
|
@limiter.limit("15/minute")
|
|
async def get_similar_sessions(
|
|
request: Request,
|
|
session_id: UUID,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
limit: int = Query(5, ge=1, le=20),
|
|
):
|
|
"""Find sessions semantically similar to this one using vector embeddings."""
|
|
from app.services.session_embedding_service import find_similar_sessions
|
|
|
|
if not current_user.account_id:
|
|
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="No account")
|
|
|
|
results = await find_similar_sessions(
|
|
session_id=session_id,
|
|
account_id=current_user.account_id,
|
|
db=db,
|
|
limit=limit,
|
|
)
|
|
return results
|
|
|
|
|
|
# ── List sessions ──
|
|
|
|
@router.get("", response_model=list[AISessionSummary])
|
|
@limiter.limit("30/minute")
|
|
async def list_sessions(
|
|
request: Request,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
session_status: Optional[str] = Query(None, alias="status"),
|
|
skip: int = Query(0, ge=0),
|
|
limit: int = Query(20, ge=1, le=100),
|
|
problem_domain: Optional[str] = Query(None),
|
|
matched_flow_id: Optional[UUID] = Query(None),
|
|
confidence_tier: Optional[str] = Query(None, pattern="^(guided|exploring|discovery)$"),
|
|
ticket_id: Optional[str] = Query(None),
|
|
session_type: Optional[str] = Query(None, pattern="^(guided|chat)$"),
|
|
date_from: Optional[datetime] = Query(None),
|
|
date_to: Optional[datetime] = Query(None),
|
|
q: Optional[str] = Query(None, min_length=2, max_length=200),
|
|
):
|
|
"""List the current user's AI sessions (owned or picked up)."""
|
|
user_id_str = str(current_user.id)
|
|
query = (
|
|
select(AISession)
|
|
.where(
|
|
or_(
|
|
AISession.user_id == current_user.id,
|
|
AISession.escalation_package["picked_up_by"].as_string() == user_id_str,
|
|
)
|
|
)
|
|
.order_by(AISession.created_at.desc())
|
|
.offset(skip)
|
|
.limit(limit)
|
|
)
|
|
|
|
if session_type:
|
|
query = query.where(AISession.session_type == session_type)
|
|
if session_status:
|
|
query = query.where(AISession.status == session_status)
|
|
if problem_domain:
|
|
query = query.where(AISession.problem_domain == problem_domain)
|
|
if matched_flow_id:
|
|
query = query.where(AISession.matched_flow_id == matched_flow_id)
|
|
if confidence_tier:
|
|
query = query.where(AISession.confidence_tier == confidence_tier)
|
|
if ticket_id:
|
|
query = query.where(AISession.psa_ticket_id == ticket_id)
|
|
if date_from:
|
|
query = query.where(AISession.created_at >= date_from)
|
|
if date_to:
|
|
query = query.where(AISession.created_at <= date_to)
|
|
if q:
|
|
query = query.where(
|
|
text("ai_sessions.search_vector @@ plainto_tsquery('english', :q)")
|
|
).params(q=q)
|
|
|
|
result = await db.execute(query)
|
|
sessions = result.scalars().all()
|
|
|
|
return [AISessionSummary.model_validate(s) for s in sessions]
|
|
|
|
|
|
# ── Get session detail ──
|
|
|
|
@router.get("/{session_id}", response_model=AISessionDetail)
|
|
@limiter.limit("30/minute")
|
|
async def get_session(
|
|
request: Request,
|
|
session_id: UUID,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
):
|
|
"""Get full session detail with all steps."""
|
|
result = await db.execute(
|
|
select(AISession)
|
|
.options(selectinload(AISession.steps))
|
|
.where(AISession.id == session_id)
|
|
)
|
|
session = result.scalar_one_or_none()
|
|
|
|
if not session:
|
|
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Session not found")
|
|
|
|
# Allow access if user is owner, escalation target, or picked-up handler
|
|
pkg = session.escalation_package or {}
|
|
is_handler = pkg.get("picked_up_by") == str(current_user.id)
|
|
if session.user_id != current_user.id and session.escalated_to_id != current_user.id and not is_handler:
|
|
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Not authorized")
|
|
|
|
return _build_session_detail(session)
|
|
|
|
|
|
# ── Documentation ──
|
|
|
|
@router.get("/{session_id}/documentation", response_model=SessionDocumentation)
|
|
@limiter.limit("30/minute")
|
|
async def get_documentation(
|
|
request: Request,
|
|
session_id: UUID,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
):
|
|
"""Get auto-generated documentation for a session."""
|
|
try:
|
|
return await flowpilot_engine.get_session_documentation(
|
|
session_id=session_id,
|
|
user_id=current_user.id,
|
|
db=db,
|
|
)
|
|
except ValueError as e:
|
|
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))
|
|
except PermissionError as e:
|
|
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=str(e))
|
|
|
|
|
|
@router.get("/{session_id}/documentation/stream")
|
|
@limiter.limit("20/minute")
|
|
async def stream_documentation(
|
|
request: Request,
|
|
session_id: UUID,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
):
|
|
"""Stream AI-generated ticket notes as Server-Sent Events."""
|
|
from starlette.responses import StreamingResponse
|
|
|
|
# Verify session ownership
|
|
result = await db.execute(
|
|
select(AISession).where(AISession.id == session_id)
|
|
)
|
|
session = result.scalar_one_or_none()
|
|
if not session:
|
|
raise HTTPException(status_code=404, detail="Session not found")
|
|
if session.user_id != current_user.id:
|
|
raise HTTPException(status_code=403, detail="Not authorized")
|
|
|
|
async def event_generator():
|
|
try:
|
|
async for chunk in flowpilot_engine.stream_ticket_notes(
|
|
session_id=session_id,
|
|
user_id=current_user.id,
|
|
db=db,
|
|
):
|
|
# SSE format: data: <text>\n\n
|
|
yield f"data: {chunk}\n\n"
|
|
yield "data: [DONE]\n\n"
|
|
except Exception as e:
|
|
logger.exception("SSE stream error for session %s: %s", session_id, e)
|
|
yield f"data: [ERROR] {str(e)}\n\n"
|
|
|
|
return StreamingResponse(
|
|
event_generator(),
|
|
media_type="text/event-stream",
|
|
headers={
|
|
"Cache-Control": "no-cache",
|
|
"Connection": "keep-alive",
|
|
"X-Accel-Buffering": "no", # Disable nginx buffering
|
|
},
|
|
)
|
|
|
|
|
|
# ── Status Update ──
|
|
|
|
@router.post("/{session_id}/status-update", response_model=StatusUpdateResponse)
|
|
@limiter.limit("20/minute")
|
|
async def create_status_update(
|
|
request: Request,
|
|
session_id: UUID,
|
|
data: StatusUpdateRequest,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
):
|
|
"""Generate a status update for ticket notes, client, or email."""
|
|
try:
|
|
return await flowpilot_engine.generate_status_update(
|
|
session_id=session_id,
|
|
request=data,
|
|
user_id=current_user.id,
|
|
db=db,
|
|
)
|
|
except ValueError as e:
|
|
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))
|
|
except PermissionError as e:
|
|
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=str(e))
|
|
|
|
|
|
# ── Rate ──
|
|
|
|
@router.post("/{session_id}/rate", status_code=204)
|
|
@limiter.limit("15/minute")
|
|
async def rate_session(
|
|
request: Request,
|
|
session_id: UUID,
|
|
data: RateSessionRequest,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
_: None = Depends(require_engineer_or_admin),
|
|
):
|
|
"""Submit a post-session rating."""
|
|
try:
|
|
await flowpilot_engine.rate_session(
|
|
session_id=session_id,
|
|
rating=data.rating,
|
|
feedback=data.feedback,
|
|
user_id=current_user.id,
|
|
db=db,
|
|
)
|
|
except ValueError as e:
|
|
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))
|
|
except PermissionError as e:
|
|
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=str(e))
|
|
|
|
await db.commit()
|
|
|
|
|
|
# ── Retry PSA Push ──
|
|
|
|
@router.post("/{session_id}/retry-psa-push")
|
|
@limiter.limit("5/minute")
|
|
async def retry_psa_push_endpoint(
|
|
request: Request,
|
|
session_id: UUID,
|
|
current_user: Annotated[User, Depends(get_current_active_user)],
|
|
db: Annotated[AsyncSession, Depends(get_db)],
|
|
_: None = Depends(require_engineer_or_admin),
|
|
):
|
|
"""Manually retry a failed PSA documentation push."""
|
|
from app.models.psa_post_log import PsaPostLog
|
|
|
|
# Find the latest failed push log for this session
|
|
result = await db.execute(
|
|
select(PsaPostLog)
|
|
.where(
|
|
PsaPostLog.ai_session_id == session_id,
|
|
PsaPostLog.status.in_(["failed", "pending_retry"]),
|
|
)
|
|
.order_by(PsaPostLog.posted_at.desc())
|
|
.limit(1)
|
|
)
|
|
log_entry = result.scalar_one_or_none()
|
|
|
|
if not log_entry:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="No failed PSA push found for this session",
|
|
)
|
|
|
|
# Reset to pending_retry and attempt immediately
|
|
log_entry.status = "pending_retry"
|
|
log_entry.retry_count = max(0, log_entry.retry_count - 1) # Give one more attempt
|
|
|
|
success = await retry_failed_push(log_entry, db)
|
|
await db.commit()
|
|
|
|
return {
|
|
"psa_push_status": "sent" if success else log_entry.status,
|
|
"psa_push_error": log_entry.error_message if not success else None,
|
|
}
|