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

tests/test_report_builder.py

@@ -113,10 +113,20 @@ class TestLlmCallRetry:
 
         return SimpleNamespace(chat=SimpleNamespace(completions=Completions())), n
 
+    @staticmethod
+    def _cfg():
+        from llm.client import LLMConfig
+
+        return LLMConfig(
+            provider="deepseek", model="deepseek-v4-flash",
+            api_key="sk-test", base_url="https://api.deepseek.com",
+            temperature=0.3,
+        )
+
     def test_success_first_try(self) -> None:
         from scheduler.reporter import _llm_call
         client, n = self._fake_client(0)
-        out = _llm_call(client, "deepseek-v4-flash", "p")
+        out = _llm_call(client, self._cfg(), "p")
         assert out == "今日要点摘要"
         assert n["count"] == 1
 
@@ -125,7 +135,7 @@ class TestLlmCallRetry:
         monkeypatch.setattr(rep, "_LLM_RETRY_TIMES", 3)
         monkeypatch.setattr(rep, "_LLM_RETRY_BACKOFF_SEC", 0.01)
         client, n = self._fake_client(2)  # 前 2 次失败，第 3 次成功
-        out = rep._llm_call(client, "deepseek-v4-flash", "p")
+        out = rep._llm_call(client, self._cfg(), "p")
         assert out == "今日要点摘要"
         assert n["count"] == 3
 
@@ -135,7 +145,7 @@ class TestLlmCallRetry:
         monkeypatch.setattr(rep, "_LLM_RETRY_BACKOFF_SEC", 0.01)
         client, n = self._fake_client(99)  # 一直失败
         with pytest.raises(ConnectionError):
-            rep._llm_call(client, "deepseek-v4-flash", "p")
+            rep._llm_call(client, self._cfg(), "p")
         assert n["count"] == 2  # 重试 2 次后放弃