feat: 大模型使用场景化配置与去重多源记录

- 新增 configs/llm_models.yaml: 4 个场景(event_extraction/daily_report/stock_report/embedding)
  可独立配置 provider/model/api_key_env/base_url_env/temperature 等,含用途与模型要求说明
- 新增 configs/loader.py: YAML 场景加载器(优先级: CLI 参数 > YAML > .env > 内置默认)
- llm/client.py: load_llm_config 支持 scene 参数,LLMConfig 增加 max_attempts
- embedding/factory+remote+local: provider/model/batch_limit 支持场景覆盖
- scheduler/reporter+stock_reporter: 日报/个股摘要接入场景配置
- dedup: Fingerprint.source_ids 多源记录 + 旧库自动迁移 + DedupResult 多源字段
- scripts/run_dedup: uniques JSON 的 sources 字段 + data/deduped/{day}/sources.json 汇总
- scripts/run_event_extraction: 接入 event_extraction 场景
- 补充测试: 场景优先级/零值、多源合并、旧库迁移、embedding 场景覆盖
This commit is contained in:
2026-08-12 07:57:10 +08:00
parent 0c032196d2
commit 3c65701449
21 changed files with 886 additions and 80 deletions
+14 -3
View File
@@ -1,9 +1,14 @@
"""Embedding provider 工厂:根据环境变量构造合适后端。"""
"""Embedding provider 工厂:根据配置构造合适后端。
配置优先级: 显式参数 > configs/llm_models.yaml scenes.embedding > .env > 默认。
"""
from __future__ import annotations
import os
from configs.loader import load_scene_config
from .base import AsyncEmbeddingProvider, EmbeddingProvider
from .models import EmbeddingError, EmbeddingProviderType
from .remote import (
@@ -20,14 +25,20 @@ def _read_env(key: str, default: str | None = None) -> str | None:
def resolve_provider_type(provider: str | None = None) -> EmbeddingProviderType:
"""根据 provider 参数 / env 解析出 EmbeddingProviderType。
"""根据 provider 参数 / YAML 场景 / env 解析出 EmbeddingProviderType。
映射:
dashscope / qwen / remote -> DASHSCOPE
local / local-bge / bge / bge-m3 -> LOCAL_BGE
默认 dashscope。
"""
p = (provider or _read_env("EMBEDDING_PROVIDER", "dashscope") or "dashscope").lower()
scene_provider = load_scene_config("embedding").get("provider")
p = (
provider
or scene_provider
or _read_env("EMBEDDING_PROVIDER", "dashscope")
or "dashscope"
).lower()
if p in ("dashscope", "qwen", "remote"):
return EmbeddingProviderType.DASHSCOPE
if p in ("local", "local-bge", "bge", "bge-m3"):