fix: fix embedding config load (#309)

* fix: fix embedding config load

* Update examples/rag/e2e_RAG_eval_with_mockRAG_fiqa.py

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

---------

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

Author: e06084

dingo/model/llm/base_openai.py

@@ -40,7 +40,15 @@ def create_client(cls):
 
             # 如果配置了 embedding_config，初始化 Embedding 客户端
             if cls.dynamic_config.embedding_config:
+                from dingo.config.input_args import EmbeddingConfigArgs
+
                 embedding_cfg = cls.dynamic_config.embedding_config
+
+                # 处理 embedding_config 可能是字典或对象的情况
+                if isinstance(embedding_cfg, dict):
+                    # 如果是字典，转换为 EmbeddingConfigArgs 对象
+                    embedding_cfg = EmbeddingConfigArgs(**embedding_cfg)
+
                 if not embedding_cfg.api_url:
                     raise ValueError("embedding_config must provide api_url")
 

examples/rag/e2e_RAG_eval_with_mockRAG_fiqa.py

@@ -406,6 +406,8 @@ async def main():
     print("FiQA 端到端 RAG 系统评测")
     print("=" * 80)
     print(f"数据集: {FIQA_DATASET} (从 HuggingFace 自动下载)")
+    print(f"API Key: {('sk-...' + OPENAI_API_KEY[-4:]) if OPENAI_API_KEY else 'Not set'}")
+    print(f"API Base URL: {OPENAI_BASE_URL}")
     print(f"模型: {OPENAI_MODEL}")
     print(f"Top-K: {args.top_k}")
     print("=" * 80)