chihlasm
bbe590bfec
Phase 2 of the FlowPilot-First Pivot connecting AI sessions to ConnectWise PSA: Slice 1 — PSA Ticket Intake: - FlowPilotEngine accepts psa_ticket intake with graceful CW API fallback - Ticket picker on intake screen (refactored TicketPickerModal for dual-mode) - Ticket context card in session sidebar Slice 2 — Auto Documentation Push: - PSA documentation service with resolution/escalation note formatting - Time entry creation via new ConnectWise provider method - Automatic retry scheduler (APScheduler, 5min interval, 3 retries) - PSA push status indicators in frontend with manual retry button - Member mapping warning when CW member not mapped Slice 3 — Session Pause/Resume & Escalation Handoff: - Pause/resume endpoints for same-engineer session bookmarking - Escalation flow: requesting_escalation status, self-escalation blocked - Enhanced escalation package with LLM-generated hypotheses/suggestions - Pickup endpoint with continue/fresh resume modes and briefing step - Escalation queue (sidebar nav + dedicated page) - SessionBriefing component with continue/fresh choice UI - EscalateModal with PSA-aware button text Slice 4 — Mid-Session Ticket Linking: - Link ticket retroactively with context injection into system prompt - Link Ticket button in session sidebar Slice 5 — FlowPilot PSA Settings: - Settings tab on IntegrationsPage with 7 configurable options - Stored as flowpilot_settings JSONB on PsaConnection Database: 2 migrations (flowpilot_settings, psa_post_log changes, status constraint) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
"""Background scheduler for retrying failed PSA documentation pushes.
|
|
|
|
Runs every 5 minutes via APScheduler, picks up PsaPostLog entries
|
|
with status='pending_retry' and next_retry_at <= now.
|
|
"""
|
|
import logging
|
|
from datetime import datetime, timezone
|
|
|
|
from sqlalchemy import select
|
|
from sqlalchemy.ext.asyncio import AsyncSession
|
|
|
|
from app.core.database import async_session_maker
|
|
from app.models.psa_post_log import PsaPostLog
|
|
from app.services.psa_documentation_service import retry_failed_push
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
async def process_pending_retries() -> None:
|
|
"""Process all pending PSA push retries that are due."""
|
|
async with async_session_maker() as db:
|
|
try:
|
|
result = await db.execute(
|
|
select(PsaPostLog)
|
|
.where(
|
|
PsaPostLog.status == "pending_retry",
|
|
PsaPostLog.next_retry_at <= datetime.now(timezone.utc),
|
|
PsaPostLog.retry_count < 3,
|
|
)
|
|
.limit(20) # Process in batches
|
|
)
|
|
entries = result.scalars().all()
|
|
|
|
if not entries:
|
|
return
|
|
|
|
logger.info("Processing %d pending PSA push retries", len(entries))
|
|
|
|
for entry in entries:
|
|
success = await retry_failed_push(entry, db)
|
|
if success:
|
|
logger.info("PSA retry succeeded for log %s", entry.id)
|
|
else:
|
|
logger.warning(
|
|
"PSA retry %d/%d failed for log %s",
|
|
entry.retry_count, 3, entry.id,
|
|
)
|
|
|
|
await db.commit()
|
|
except Exception as e:
|
|
logger.error("PSA retry scheduler error: %s", e)
|
|
await db.rollback()
|