互联网搜索api修改

.gitignore

@@ -21,3 +21,20 @@
 .idea/vcs.xml
 /.idea
 /test_tool
+chatchat_data/tool_settings.yaml
+chatchat_data/prompt_settings.yaml
+chatchat_data/model_settings.yaml
+chatchat_data/basic_settings.yaml
+localconfig/data/knowledge_base/samples/content/分布式训练技术原理.md
+localconfig/data/knowledge_base/samples/content/大模型应用技术原理.md
+localconfig/data/knowledge_base/samples/content/大模型技术栈-实战与应用.md
+localconfig/data/knowledge_base/samples/content/大模型技术栈-算法与原理.md
+localconfig/data/knowledge_base/samples/content/大模型指令对齐训练原理.md
+localconfig/data/knowledge_base/samples/content/大模型推理优化策略.md
+localconfig/data/knowledge_base/samples/vector_store/bge-large-zh-v1.5/index.faiss
+localconfig/data/knowledge_base/samples/vector_store/bge-large-zh-v1.5/index.pkl
+localconfig/data/knowledge_base/info.db
+chatchat_data/basic_settings.yaml
+chatchat_data/model_settings.yaml
+chatchat_data/prompt_settings.yaml
+chatchat_data/tool_settings.yaml

libs/chatchat-server/chatchat/server/agent/tools_factory/search_internet.py

@@ -1,3 +1,4 @@
+import json
 import uuid
 from typing import Dict, List
 
@@ -19,6 +20,7 @@ from chatchat.utils import build_logger
 # from tavily import TavilyClient
 
 from .tools_registry import BaseToolOutput, regist_tool, format_context
+
 logger = build_logger()
 
 
@@ -91,6 +93,7 @@ def metaphor_search(
 
     return docs
 
+
 def tavily_search(text, config, top_k):
     # 配置tavily api key
     os.environ["TAVILY_API_KEY"] = config["tavily_api_key"]
@@ -109,7 +112,9 @@ def tavily_search(text, config, top_k):
     # print("=== 完整搜索返回值 ===")
     # print(search_results)
     return search_results
-def zhipu_search(text, config):
+
+
+def zhipu_search(text, config, top_k):
     api_key = config["zhipu_api_key"]
     msg = [
         {
@@ -132,9 +137,9 @@ def zhipu_search(text, config):
         headers={'Authorization': api_key},
         timeout=300
     )
-    print(resp.content.decode())
     return resp.content.decode()
 
+
 SEARCH_ENGINES = {
     "bing": bing_search,
     "duckduckgo": duckduckgo_search,
@@ -145,32 +150,24 @@ SEARCH_ENGINES = {
 }
 
 
-# tavily的解析
-# def search_result2docs_tavily(search_results) -> List[Document]:
-#     docs = []
-#     for result in search_results:
-#         doc = Document(
-#             page_content=result["content"] if "content" in result.keys() else "",
-#             metadata={
-#                 "source": result["url"] if "url" in result.keys() else "",
-#                 "filename": result["title"] if "title" in result.keys() else "",
-#             },
-#         )
-#         docs.append(doc)
-#     return docs
-
 def search_result2docs(search_results, engine_name) -> List[Document]:
     docs = []
     if engine_name == "zhipu_search":
         try:
-            results = search_results["choices"][0]["message"]["tool_calls"][1]["search_result"]
+            raw_result = json.loads(search_results)
+            results = raw_result["choices"][0]["message"]["tool_calls"][1]["search_result"]
         except (KeyError, IndexError) as e:
             print(f"结构异常: {e}")
             results = []
         # 遍历并处理每个结果
-        for idx, result in enumerate(search_results, 1):
-            docs.append(result.get('content', '无内容'))
-            print(f"内容:\n{result.get('content', '无内容')}\n")
+
+        for idx, result in enumerate(results, 1):
+            doc = Document(
+                page_content=result["content"],
+                metadata={"link": result["link"], "title": result["title"]}
+            )
+            docs.append(doc)
+            print(f"内容:\n{result}\n")
         return docs
     page_contents_key = "snippet" if engine_name != "tavily" else "content"
     metadata_key = "link" if engine_name != "tavily" else "url"
@@ -199,6 +196,7 @@ def search_engine(query: str, top_k:int=0, engine_name: str="", config: dict={})
 
     docs = [x for x in search_result2docs(results, engine_name) if x.page_content and x.page_content.strip()]
     print(f"len(docs): {len(docs)}")
+    print(f"docs: {docs}")
     return {"docs": docs, "search_engine": engine_name}