debt(D2): 统一预测结果类型为 PredictResult,路由去 dict 分支

- PredictResult 扩展可选字段 mode/agent_outputs/agent_weights/prompt_tokens/completion_tokens
- MultiPredictResult 变为 PredictResult 别名(保留 R4 守卫标记与 re-export)
- baseline 改返回 PredictResult(修复 backtest 对 baseline AttributeError 的潜伏 bug)
- 预测路由单一属性映射,删除全部 isinstance(result, dict) 分支
- _persist_baseline 属性化,baseline upsert 语义不变(prompt_version/token/latency 同前)
- TDD: 5 新测试 + test_baseline.py 属性化;全量 257 passed
This commit is contained in:
2026-09-21 19:23:50 +08:00
parent 3a9f3f5a0e
commit 5c7fdce0a3
6 changed files with 311 additions and 93 deletions
+7 -24
View File
@@ -6,14 +6,13 @@ import hashlib
import json
import logging
import time
from dataclasses import dataclass
from datetime import datetime, timezone
from src.core.config import settings
from src.db.base import AsyncSessionLocal
from src.db.models import Match, Prediction
from src.db.unit_of_work import get_uow
from src.llm.predict import _upsert_prediction
from src.llm.predict import PredictResult, _upsert_prediction
from src.llm.agents.base import AgentReport, AgentSpec, load_agent_prompt
from src.llm.context_builder import (
MatchHeader,
@@ -81,28 +80,12 @@ AGENT_LABELS_ZH: dict[str, str] = {
}
@dataclass
class MultiPredictResult:
prediction_id: int
provider: str
model: str
prompt_version: str
mode: str
pred_home_goals: float | None
pred_away_goals: float | None
alt_pred_home_goals: int | None
alt_pred_away_goals: int | None
pred_1x2: str | None
subjective_confidence: float | None
reasoning: str | None
context: str
agent_outputs: list[dict]
agent_weights: dict | None
status: str = "success"
latency_ms: int | None = None
prompt_tokens: int | None = None
completion_tokens: int | None = None
raw: dict | None = None
# D2(工程债): multi 结果类型与 single 统一 —— 扩展后的 PredictResult 用可选
# 字段(agent_outputs/agent_weights/prompt_tokens/completion_tokens/mode)承载
# 全部模式,此处仅保留别名。保留 `MultiPredictResult` 名字的原因:
# 1. predict_match_multi 签名 `-> MultiPredictResult:` 是 R4 源码守卫的标记;
# 2. src/llm/agents/__init__.py 对外 re-export 该名字。
MultiPredictResult = PredictResult
async def _agent_provider(agent_id: str, *, tier: str, model_override: str | None = None) -> LLMProvider: