chihlasm
a567d6d245
- Log `note_posted` and `time_entry_posted` activities to `psa_activity_logs` after each successful PSA push in `psa_documentation_service.py`; errors are caught and logged without blocking the main push flow - Add `PsaFunnel`, `PsaDailyTrend`, and `EnhancedPsaMetrics` Pydantic schemas - Add `GET /analytics/flowpilot/psa-metrics?period=30d` endpoint (team_admin, rate-limited 15/min) returning time entry totals, push funnel (sessions → linked → doc pushed → time entry logged), and daily trend Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
127 lines
2.9 KiB
Python
127 lines
2.9 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 CoverageDomainRow(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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resolution_rate: float
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escalation_rate: float
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guided_rate: float
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avg_resolution_minutes: float | None = None
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class CoverageResponse(BaseModel):
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domains: list[CoverageDomainRow]
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unmapped_session_count: int
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total_domains: int
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class FlowQualityRow(BaseModel):
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flow_id: str
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name: str
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tree_type: str
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usage_count: int
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success_rate: float | None = None
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last_matched_at: datetime | None = None
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avg_confidence: float | None = None
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quality_score: float
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class FlowQualityResponse(BaseModel):
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flows: list[FlowQualityRow]
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top_performers: list[FlowQualityRow]
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needs_attention: list[FlowQualityRow]
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class PsaFunnel(BaseModel):
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total_sessions: int
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linked_to_ticket: int
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doc_pushed: int
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time_entry_logged: int
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class PsaDailyTrend(BaseModel):
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date: str
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entries: int
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hours: float
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class EnhancedPsaMetrics(BaseModel):
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total_time_entries: int
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total_hours_logged: float
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avg_hours_per_session: float
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push_funnel: PsaFunnel
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daily_trend: list[PsaDailyTrend]
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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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