chihlasm
9bad49d568
Phase 3 implementation: - AI session analysis service that generates flow proposals from resolved sessions - APScheduler job for batch processing pending analyses (max_instances=1) - Knowledge gap detection (weak options, high escalation signals) - Flow proposals CRUD with team admin review workflow (approve/edit/dismiss/reject) - FlowPilot analytics dashboard with confidence tiers, PSA metrics, knowledge gaps - In-session script generator component - Review queue page with filtering and proposal detail panel Bug fixes from review (12 total): - Fix "Edit & Publish" navigating to non-existent /editor/new route - Hide Approve button for enhancement proposals (require Edit & Publish) - Add max_instances=1 to scheduler to prevent TOCTOU race - Fix eventual_success case() double-counting failed retries - Add tree_structure validation before creating tree from proposal - Simplify script generator rendering condition - Add severity style fallback, toFixed on rates, Link instead of <a href> - Add toast.warning on dismiss failure, fix dedup for domain-less sessions - Cast Decimal to int in knowledge gap evidence dicts Also updates CLAUDE.md with lessons 67-71 and Phase 3 project structure. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
73 lines
1.7 KiB
Python
73 lines
1.7 KiB
Python
"""Pydantic schemas for FlowPilot analytics dashboard."""
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from __future__ import annotations
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from typing import Optional, Any
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from datetime import datetime
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from pydantic import BaseModel
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class MTTRDataPoint(BaseModel):
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date: str
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mttr_minutes: float
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session_count: int
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class DomainBreakdown(BaseModel):
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domain: str
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total: int
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resolved: int
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escalated: int
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resolution_rate: float
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class ConfidenceBreakdown(BaseModel):
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guided_sessions: int
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guided_resolution_rate: float
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exploring_sessions: int
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exploring_resolution_rate: float
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discovery_sessions: int
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discovery_resolution_rate: float
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class DomainCoverage(BaseModel):
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domain: str
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flow_count: int
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session_count: int
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guided_rate: float
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class KnowledgeCoverage(BaseModel):
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total_flows: int
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ai_generated_flows: int
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total_proposals_pending: int
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proposals_approved_this_period: int
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proposals_rejected_this_period: int
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coverage_by_domain: list[DomainCoverage] = []
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class PsaMetrics(BaseModel):
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ticket_link_rate: float
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auto_push_success_rate: float
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auto_push_retry_success_rate: float
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total_time_entries_logged: int
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total_hours_logged: float
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class FlowPilotDashboard(BaseModel):
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period: str
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total_sessions: int
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resolved_sessions: int
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escalated_sessions: int
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abandoned_sessions: int
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resolution_rate: float
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avg_steps_to_resolution: float
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avg_session_duration_minutes: float
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avg_rating: float | None = None
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mttr_minutes: float | None = None
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mttr_trend: list[MTTRDataPoint] = []
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sessions_by_domain: list[DomainBreakdown] = []
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confidence_breakdown: ConfidenceBreakdown
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knowledge_coverage: KnowledgeCoverage
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psa_metrics: PsaMetrics | None = None
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