14b09e1ac6
- 导出端点解析评测对象名与 completed 周期对比行（基线元信息、分析模型、现算机械 diff），渲染 `## 周期对比` 附录（趋势 + 指标变化表 + 问题演变 + 建议落实），紧跟智能分析之后；非 completed 则完全无痕 - 头部排版重优化：状态中文化、窗口与时段人类可读（24h、0h–1h）、友好时间戳、头部补评测对象名、「正式线」/「加速调试线 ×N」措辞（加速线附注压缩后实际耗时）；Run 级导出不动 - 测试：渲染器黄金断言更新 + 附录/头部/缺省用例，集成测试新增导出含对比、无对比行、failed 行三例
327 lines
13 KiB
Python
327 lines
13 KiB
Python
"""API routes for evaluation campaigns (评估活动).
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Creating a campaign starts its durable scheduler loop (``campaign_runner``),
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which spawns child Runs across the (optionally compressed) service-cycle window
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until it finishes. Progress is authoritative in the DB, so detail queries report
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the live window position and spawned/completed Run counts, and a campaign can be
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cancelled mid-flight.
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"""
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from fastapi import APIRouter, Body, Depends, HTTPException, Response
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from pydantic import BaseModel, Field
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from sqlmodel import Session
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from agenteval.evaluation.analysis import resolve_analysis_model, start_campaign_analysis
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from agenteval.evaluation.campaign_runner import campaign_progress, request_cancel, start_campaign
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from agenteval.evaluation.comparison import (
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build_campaign_report_dict,
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build_comparison_payload,
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compute_metric_diff,
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resolve_auto_baseline,
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start_campaign_comparison,
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)
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from agenteval.evaluation.report import (
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build_campaign_timeline,
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generate_campaign_report,
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summarize_campaign_progress,
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)
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from agenteval.evaluation.report_render import render_campaign_markdown
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from agenteval.models import Campaign, CampaignPlanEntry, CampaignStatus
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from agenteval.storage.db import iso_utc, utc_now
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from agenteval.storage.model_config_repository import ModelConfigRepository
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from agenteval.storage.repository import (
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CampaignAnalysisRepository,
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CampaignPeriodComparisonRepository,
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CampaignRepository,
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RunRepository,
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ScenarioRepository,
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TargetRepository,
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)
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from agenteval.web.deps import get_db
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router = APIRouter()
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class CreateCampaignRequest(BaseModel):
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name: str
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target_id: str
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window_seconds: int = Field(gt=0)
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time_scale: float = Field(default=1.0, gt=0)
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plan: list[CampaignPlanEntry] = Field(min_length=1)
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analysis_model_config_id: str | None = None
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@router.get("")
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async def list_campaigns(session: Session = Depends(get_db)) -> list[dict]:
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repo = CampaignRepository(session)
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run_repo = RunRepository(session)
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result = []
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for campaign in repo.list_all():
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data = campaign.model_dump()
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runs = run_repo.list_by_campaign(campaign.id)
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data["progress"] = summarize_campaign_progress(campaign, runs)
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result.append(data)
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return result
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@router.post("")
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async def create_campaign(
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request: CreateCampaignRequest,
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session: Session = Depends(get_db),
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) -> dict:
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if not TargetRepository(session).get(request.target_id):
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raise HTTPException(status_code=404, detail="target not found")
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scenario_repo = ScenarioRepository(session)
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for entry in request.plan:
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if not scenario_repo.get(entry.scenario_id):
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raise HTTPException(
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status_code=404,
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detail=f"scenario not found: {entry.scenario_id}",
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)
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if request.analysis_model_config_id is not None:
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if not ModelConfigRepository(session).get(request.analysis_model_config_id):
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raise HTTPException(status_code=400, detail="analysis model config not found")
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campaign = Campaign(
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name=request.name,
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target_id=request.target_id,
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window_seconds=request.window_seconds,
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time_scale=request.time_scale,
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plan=request.plan,
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analysis_model_config_id=request.analysis_model_config_id,
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)
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repo = CampaignRepository(session)
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campaign = repo.create(campaign)
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# Kick off the durable loop; it moves the campaign into RUNNING.
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start_campaign(campaign.id, session)
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return (repo.get(campaign.id) or campaign).model_dump()
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@router.post("/{campaign_id}/cancel")
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async def cancel_campaign(campaign_id: str, session: Session = Depends(get_db)) -> dict:
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repo = CampaignRepository(session)
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campaign = repo.get(campaign_id)
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if not campaign:
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raise HTTPException(status_code=404, detail="campaign not found")
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if campaign.status not in (CampaignStatus.PLANNED, CampaignStatus.RUNNING):
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raise HTTPException(status_code=400, detail="campaign is not in a cancellable state")
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campaign.status = CampaignStatus.CANCELLED
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campaign.completed_at = utc_now()
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repo.update(campaign)
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request_cancel(campaign_id)
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return campaign.model_dump()
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@router.get("/{campaign_id}/report")
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async def get_campaign_report(campaign_id: str, session: Session = Depends(get_db)) -> dict:
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campaign = CampaignRepository(session).get(campaign_id)
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if not campaign:
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raise HTTPException(status_code=404, detail="campaign not found")
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runs = RunRepository(session).list_by_campaign(campaign_id)
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scenario_names = {s.id: s.name for s in ScenarioRepository(session).list_all()}
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return generate_campaign_report(campaign, runs, scenario_names=scenario_names)
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@router.get("/{campaign_id}/report/markdown")
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async def get_campaign_report_markdown(campaign_id: str, session: Session = Depends(get_db)) -> Response:
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campaign = CampaignRepository(session).get(campaign_id)
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if not campaign:
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raise HTTPException(status_code=404, detail="campaign not found")
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runs = RunRepository(session).list_by_campaign(campaign_id)
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scenario_names = {s.id: s.name for s in ScenarioRepository(session).list_all()}
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analysis_row = CampaignAnalysisRepository(session).get_by_campaign(campaign_id)
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analysis = analysis_row.get_result() if analysis_row and analysis_row.status == "completed" else None
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target = TargetRepository(session).get(campaign.target_id)
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target_name = target.name if target else None
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comparison = None
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cmp_row = CampaignPeriodComparisonRepository(session).get_by_campaign(campaign_id)
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if cmp_row is not None and cmp_row.status == "completed" and cmp_row.get_result():
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baseline = CampaignRepository(session).get(cmp_row.baseline_campaign_id)
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metric_diff = (
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compute_metric_diff(
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build_campaign_report_dict(baseline, session),
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build_campaign_report_dict(campaign, session),
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)
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if baseline is not None
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else None
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)
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model_cfg = ModelConfigRepository(session).get(cmp_row.model_config_id) if cmp_row.model_config_id else None
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model_label = f"{model_cfg.name}（{model_cfg.model_name}）" if model_cfg and model_cfg.model_name else (
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model_cfg.name if model_cfg else None
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)
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comparison = {
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"result": cmp_row.get_result(),
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"baseline_name": baseline.name if baseline else None,
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"baseline_completed_at": iso_utc(baseline.completed_at) if baseline else None,
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"model_name": model_label,
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"updated_at": iso_utc(cmp_row.updated_at),
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"metric_diff": metric_diff,
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}
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md = render_campaign_markdown(
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generate_campaign_report(campaign, runs, scenario_names=scenario_names),
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analysis=analysis,
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comparison=comparison,
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target_name=target_name,
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scenario_names=scenario_names,
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)
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return Response(
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content=md,
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media_type="text/markdown; charset=utf-8",
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headers={"Content-Disposition": f'attachment; filename="campaign-report-{campaign_id}.md"'},
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)
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@router.get("/{campaign_id}/timeline")
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async def get_campaign_timeline(campaign_id: str, session: Session = Depends(get_db)) -> dict:
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campaign = CampaignRepository(session).get(campaign_id)
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if not campaign:
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raise HTTPException(status_code=404, detail="campaign not found")
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runs = RunRepository(session).list_by_campaign(campaign_id)
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scenario_names = {s.id: s.name for s in ScenarioRepository(session).list_all()}
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return {"entries": build_campaign_timeline(campaign, runs, scenario_names=scenario_names)}
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@router.get("/{campaign_id}/analysis")
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async def get_campaign_analysis(campaign_id: str, session: Session = Depends(get_db)) -> dict:
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if not CampaignRepository(session).get(campaign_id):
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raise HTTPException(status_code=404, detail="campaign not found")
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row = CampaignAnalysisRepository(session).get_by_campaign(campaign_id)
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if row is None:
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return {"status": "none"}
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return {
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"status": row.status,
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"result": row.get_result(),
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"error": row.error,
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"model_config_id": row.model_config_id,
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"triggered_by": row.triggered_by,
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"updated_at": iso_utc(row.updated_at),
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}
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@router.post("/{campaign_id}/analysis")
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async def trigger_campaign_analysis(campaign_id: str, session: Session = Depends(get_db)) -> dict:
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campaign = CampaignRepository(session).get(campaign_id)
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if not campaign:
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raise HTTPException(status_code=404, detail="campaign not found")
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if campaign.status in (CampaignStatus.PLANNED, CampaignStatus.RUNNING):
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raise HTTPException(status_code=400, detail="活动完成后才能生成智能分析")
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if resolve_analysis_model(campaign, session) is None:
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raise HTTPException(
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status_code=400,
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detail="未配置分析模型：请在模型配置中心将某个 chat 配置设为「分析默认」，或为该活动指定分析模型",
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)
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start_campaign_analysis(campaign_id, triggered_by="manual")
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return {"status": "generating"}
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@router.get("/{campaign_id}/comparison")
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async def get_campaign_comparison(campaign_id: str, session: Session = Depends(get_db)) -> dict:
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"""周期对比（v0.8）：自动基线配对 + 叙述行状态 + 机械 diff（现算，不存储）。
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``metric_diff`` 对应「生效基线」：已有对比行时为该行记录的基线，
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否则为自动基线；两者都没有时为 null。
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"""
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campaign = CampaignRepository(session).get(campaign_id)
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if not campaign:
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raise HTTPException(status_code=404, detail="campaign not found")
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payload = build_comparison_payload(campaign, session)
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row = CampaignPeriodComparisonRepository(session).get_by_campaign(campaign_id)
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if row is None:
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return {"status": "none", "comparison": None, **payload}
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baseline = CampaignRepository(session).get(row.baseline_campaign_id)
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metric_diff = (
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compute_metric_diff(
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build_campaign_report_dict(baseline, session),
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build_campaign_report_dict(campaign, session),
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)
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if baseline is not None
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else None
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)
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comparison = {
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"baseline_campaign_id": row.baseline_campaign_id,
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"baseline": (
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{
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"id": baseline.id,
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"name": baseline.name,
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"completed_at": iso_utc(baseline.completed_at),
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}
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if baseline
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else None
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),
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"result": row.get_result(),
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"error": row.error,
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"model_config_id": row.model_config_id,
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"triggered_by": row.triggered_by,
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"updated_at": iso_utc(row.updated_at),
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}
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return {
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"status": row.status,
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"comparison": comparison,
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"auto_baseline": payload["auto_baseline"],
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"metric_diff": metric_diff,
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}
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class GenerateComparisonRequest(BaseModel):
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baseline_campaign_id: str | None = None
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@router.post("/{campaign_id}/comparison")
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async def trigger_campaign_comparison(
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campaign_id: str,
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request: GenerateComparisonRequest = Body(default=None),
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session: Session = Depends(get_db),
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) -> dict:
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campaign = CampaignRepository(session).get(campaign_id)
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if not campaign:
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raise HTTPException(status_code=404, detail="campaign not found")
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if campaign.status in (CampaignStatus.PLANNED, CampaignStatus.RUNNING):
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raise HTTPException(status_code=400, detail="活动完成后才能生成周期对比")
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analyses = CampaignAnalysisRepository(session)
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current_analysis = analyses.get_by_campaign(campaign_id)
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if current_analysis is None or current_analysis.status != "completed":
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raise HTTPException(status_code=400, detail="请先生成本期活动的智能分析")
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if resolve_analysis_model(campaign, session) is None:
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raise HTTPException(
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status_code=400,
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detail="未配置分析模型：请在模型配置中心将某个 chat 配置设为「分析默认」，或为该活动指定分析模型",
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)
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explicit_baseline_id = request.baseline_campaign_id if request else None
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if explicit_baseline_id:
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baseline = CampaignRepository(session).get(explicit_baseline_id)
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if baseline is None:
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raise HTTPException(status_code=400, detail=f"基线活动不存在: {explicit_baseline_id}")
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baseline_analysis = analyses.get_by_campaign(explicit_baseline_id)
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if baseline_analysis is None or baseline_analysis.status != "completed":
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raise HTTPException(status_code=400, detail="基线活动没有已完成的智能分析，请先生成基线活动的分析")
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else:
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baseline = resolve_auto_baseline(campaign, session)
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if baseline is None:
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raise HTTPException(
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status_code=400,
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detail="未找到自动基线：历史活动中没有同计划指纹且已完成分析的活动，可手动选择基线活动",
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)
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start_campaign_comparison(campaign_id, triggered_by="manual", baseline_campaign_id=baseline.id)
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return {"status": "generating"}
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@router.get("/{campaign_id}")
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async def get_campaign(campaign_id: str, session: Session = Depends(get_db)) -> dict:
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campaign = CampaignRepository(session).get(campaign_id)
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if not campaign:
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raise HTTPException(status_code=404, detail="campaign not found")
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runs = RunRepository(session).list_by_campaign(campaign_id)
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data = campaign.model_dump()
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data["progress"] = campaign_progress(campaign, runs)
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return data
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