机器人 -- 开启用户指引

app/service/chat_robot/script/service/CallQWen.py

@@ -1,5 +1,4 @@
 import json
-from typing import Dict, Any
 
 from dashscope import Generation
 from retry import retry
@@ -8,8 +7,7 @@ from urllib3.exceptions import NewConnectionError
 from app.core.config import *
 from app.service.chat_robot.script.callbacks.qwen_callback_handler import QWenCallbackHandler
 from app.service.chat_robot.script.database import CustomDatabase
-from app.service.chat_robot.script.prompt import FASHION_CHAT_BOT_PREFIX, TOOLS_FUNCTIONS_SUFFIX
+from app.service.chat_robot.script.prompt import FASHION_CHAT_BOT_PREFIX, TOOLS_FUNCTIONS_SUFFIX, TUTORIAL_TOOL_RETURN
-
 
 get_database_table_description = "Input is an empty string, output is a comma separated list of tables in the database."
 
@@ -32,7 +30,10 @@ query_database_description = (
     "Example Input: 'SELECT img_name FROM female_skirt WHERE opening_type = 'Button' ORDER BY RAND() LIMIT 1'"
     "Example Input 2: 'SELECT img_name FROM female_top WHERE sleeve_length = 'Long' AND type = 'Blouse' "
     "order by rand() LIMIT 2'"
-        )
+)
+
+tutorial_description = ("Utilize this tool to retrieve specific statements related to user guidance tutorials."
+                        "Input is an empty string")
 
 tools = [
     # 工具一
@@ -97,6 +98,23 @@ tools = [
             },
             "required": ["sql_string"]
         }
+    },
+    # 工具四
+    {
+        "type": "function",
+        "function": {
+            "name": "tutorial_tool",
+            "description": tutorial_description,
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "sql_string": {
+                        "type": "string",
+                        "description": "由模型生成的sql语句"
+                    }
+                }
+            },
+        }
     }
 ]
 
@@ -106,6 +124,7 @@ db = CustomDatabase.from_uri(f'mysql+pymysql://{DB_USERNAME}:{DB_PASSWORD}@{DB_H
                              engine_args={"pool_recycle": 7200})
 qwen = QWenCallbackHandler()
 
+
 def search_from_internet(message):
     response = Generation.call(
         model='qwen-turbo',
@@ -118,15 +137,19 @@ def search_from_internet(message):
     )
     return response
 
+
 def get_database_table():
     return 'female_top, female_skirt, female_pants, female_dress, female_outwear, male_bottom, male_top, male_outwear'
 
+
 def get_table_info(table_names):
     return CustomDatabase.get_table_info(db, table_names)
 
+
 def query_database(sql_string):
     return CustomDatabase.run(db, sql_string)
 
+
 @retry(exceptions=NewConnectionError, tries=3, delay=1)
 def get_response(messages):
     response = Generation.call(
@@ -208,6 +231,10 @@ def call_with_messages(message):
             flag = False
             result_content = tool_info['content']
             response_type = "image"
+        elif assistant_output.tool_calls[0]['function']['name'] == 'tutorial_tool':
+            tool_info = {"name": "tutorial_tool", "role": "tool", 'content': tutorial_tool()}
+            flag = False
+            result_content = tool_info['content']
 
         print(f"工具输出信息：{tool_info['content']}\n")
         messages.append(tool_info)
@@ -217,8 +244,6 @@ def call_with_messages(message):
     final_output["response_type"] = response_type
     QWenCallbackHandler.on_chain_end(qwen, final_output)
 
-
-
     # 模型的第二轮调用，对工具的输出进行总结
     # if flag :
     #     second_response = get_response(messages)
@@ -229,9 +254,8 @@ def call_with_messages(message):
     return final_output
 
 
+def tutorial_tool():
+    return TUTORIAL_TOOL_RETURN
+
 if __name__ == '__main__':
     call_with_messages()
-
-
-
-