33db5aeb10
- Replay models: StepType enum, ReplayStep, ReplayPage frozen dataclasses
- Checkpoint transformer: PostgresSaver JSONB -> structured timeline steps
- Replay API: GET /api/conversations (paginated), GET /api/replay/{thread_id}
- Analytics models: AgentUsage, InterruptStats, AnalyticsResult
- Analytics event recorder: Protocol + PostgresAnalyticsRecorder + NoOp
- Analytics queries: resolution_rate, agent_usage, escalation_rate, cost, interrupts
- Analytics API: GET /api/analytics?range=Xd with envelope response
- DB migration: analytics_events table + conversations column additions
- 74 new tests, 399 total passing, 92.87% coverage
39 lines
830 B
Python
39 lines
830 B
Python
"""Value objects for analytics dashboard."""
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from __future__ import annotations
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from dataclasses import dataclass
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@dataclass(frozen=True)
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class AgentUsage:
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"""Agent usage statistics within a time range."""
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agent: str
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count: int
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percentage: float
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@dataclass(frozen=True)
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class InterruptStats:
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"""Interrupt approval/rejection statistics within a time range."""
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total: int = 0
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approved: int = 0
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rejected: int = 0
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expired: int = 0
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@dataclass(frozen=True)
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class AnalyticsResult:
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"""Full analytics result for a given time range."""
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range: str
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total_conversations: int
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resolution_rate: float
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escalation_rate: float
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avg_turns_per_conversation: float
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avg_cost_per_conversation_usd: float
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agent_usage: tuple[AgentUsage, ...]
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interrupt_stats: InterruptStats
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