Profeto Agent
835d7217d0
后端： - settle_prediction 拒绝 degraded/failed（明确错误信息） - get_eval_summary 支持 provider/model/prompt_version/mode 筛选 - 返回 filtered_settled/evaluated/skipped_degraded 等计数 - matches 游标分页方向修复（scheduled ASC 用 > 条件） - available_at 加 2h 缓冲（近似完赛时间） - bzzziro 统计字段映射注释（待真实响应验证） - injuries 区分 no_local_data 与 success 空名单 前端： - 新增 EvalPage（筛选控件 + 汇总卡片 + 准确率表格） - 挂载 /admin/eval 路由与导航 测试： - test_matches_cursor.py：游标方向 - test_available_at.py：2h 缓冲与回测防泄漏 - test_bzzoirot_stats.py：统计字段映射 - test_injuries_no_local_data.py：no_local_data vs success - test_injuries_inserted_count.py：失败批不计入 - test_eval_excludes_degraded.py：degraded 排除准确率
132 lines
3.3 KiB
Python
132 lines
3.3 KiB
Python
"""Pydantic schemas。"""
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from __future__ import annotations
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from datetime import date, datetime
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from typing import Any
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from pydantic import BaseModel, Field
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class LeagueOut(BaseModel):
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id: int
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code: str
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name: str
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country: str | None
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class MatchOut(BaseModel):
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id: int
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league_code: str | None
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season: str | None
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home_team: str
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away_team: str
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home_team_zh: str | None
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away_team_zh: str | None
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match_date: datetime
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match_status: str
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home_goals: int | None
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away_goals: int | None
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match_stage: str | None
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home_xg: float | None = None
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away_xg: float | None = None
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class MatchListOut(BaseModel):
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items: list[MatchOut]
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next_cursor: str | None
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has_more: bool
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class PredictRequest(BaseModel):
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match_id: int
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provider: str | None = None
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model: str | None = None
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prompt_version: str | None = None
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mode: str = "multi" # multi(默认, 5专家+终裁) | single(单次调用)
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class PredictOut(BaseModel):
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prediction_id: int
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provider: str
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model: str
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prompt_version: str | None = None
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mode: str = "single"
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pred_home_goals: float | None
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pred_away_goals: float | None
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alt_pred_home_goals: int | None = None
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alt_pred_away_goals: int | None = None
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pred_1x2: str | None
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subjective_confidence: float | None
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reasoning: str | None
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agent_outputs: list[dict] | None = None
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agent_weights: dict | None = None
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context: str
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latency_ms: int | None
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class PredictionOut(BaseModel):
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id: int
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match_id: int
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provider: str
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model: str
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prompt_version: str
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mode: str = "single"
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pred_home_goals: float | None
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pred_away_goals: float | None
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alt_pred_home_goals: int | None = None
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alt_pred_away_goals: int | None = None
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pred_1x2: str | None
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subjective_confidence: float | None
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reasoning: str | None
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agent_outputs: list[dict] | None = None
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created_at: datetime
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actual_home_goals: int | None
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actual_away_goals: int | None
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settled: bool
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class IngestBzzoiroRequest(BaseModel):
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leagues: list[str] = Field(default_factory=list, description="联赛代码列表,如 ['E0','SP1'];空 = 全部已知联赛")
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date_from: str | None = None
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date_to: str | None = None
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status: str | None = Field(None, description="finished/scheduled;空 = 两者都采集")
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class IngestResponse(BaseModel):
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leagues: dict
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total_inserted: int
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total_updated: int
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errors: list[str] = []
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class IngestUnderstatRequest(BaseModel):
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league: str | None = Field(None, description="联赛代码,如 'E0';空 = 全部已知联赛")
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season: int = Field(default_factory=lambda: date.today().year, description="赛季起始年,如 2025 表示 2025-2026 赛季")
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class IngestInjuriesRequest(BaseModel):
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date: str | None = Field(None, description="日期 YYYY-MM-DD,为空则采集当天")
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class IngestSimpleResponse(BaseModel):
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count: int = 0
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updated: int = 0
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skipped: int = 0
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unmatched: int = 0
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errors: list[str] = []
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class SettleRequest(BaseModel):
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prediction_id: int
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home_goals: int = Field(ge=0, le=30)
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away_goals: int = Field(ge=0, le=30)
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class EvalSummaryOut(BaseModel):
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summary: list[dict[str, Any]]
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total_settled: int
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filtered_settled: int
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evaluated: int
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skipped_degraded: int
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skipped_incomplete: int = 0
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