Update tools/ai_tools.py

tools/ai_tools.py

@@ -1 +1,262 @@
-x
+class AITools():
+    @tool("Web Search Tool")
+    def web_search_tool(question: str) -> str:
+        """Given a question only, search the web to answer the question.
+    
+           Args:
+               question (str): Question to answer
+                
+           Returns:
+               str: Answer to the question
+                
+           Raises:
+               RuntimeError: If processing fails"""
+        try:
+            client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
+            
+            response = client.models.generate_content(
+                model=WEB_SEARCH_MODEL,
+                contents=question,
+                config=types.GenerateContentConfig(
+                    tools=[types.Tool(google_search=types.GoogleSearchRetrieval())]
+                )
+            )
+    
+            return response.text
+        except Exception as e:
+            raise RuntimeError(f"Processing failed: {str(e)}")
+    
+    @tool("Image Analysis Tool")
+    def image_analysis_tool(question: str, file_path: str) -> str:
+        """Given a question and image file, analyze the image to answer the question.
+    
+           Args:
+               question (str): Question about an image file
+               file_path (str): The image file path
+                
+           Returns:
+               str: Answer to the question about the image file
+                
+           Raises:
+               RuntimeError: If processing fails"""
+        try:
+            client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
+            
+            file = client.files.upload(file=file_path)
+    
+            response = client.models.generate_content(
+                model=IMAGE_ANALYSIS_MODEL,
+                contents=[file, question]
+            )
+          
+            return response.text
+        except Exception as e:
+            raise RuntimeError(f"Processing failed: {str(e)}")
+    
+    @tool("Audio Analysis Tool")
+    def audio_analysis_tool(question: str, file_path: str) -> str:
+        """Given a question and audio file, analyze the audio to answer the question.
+    
+           Args:
+               question (str): Question about an audio file
+               file_path (str): The audio file path
+                
+           Returns:
+               str: Answer to the question about the audio file
+                
+           Raises:
+               RuntimeError: If processing fails"""
+        try:
+            client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
+    
+            file = client.files.upload(file=file_path)
+            
+            response = client.models.generate_content(
+                model=AUDIO_ANALYSIS_MODEL, 
+                contents=[file, question]
+            )
+          
+            return response.text
+        except Exception as e:
+            raise RuntimeError(f"Processing failed: {str(e)}")
+    
+    @tool("Video Analysis Tool")
+    def video_analysis_tool(question: str, file_path: str) -> str:
+        """Given a question and video file, analyze the video to answer the question.
+    
+           Args:
+               question (str): Question about a video file
+               file_path (str): The video file path
+                
+           Returns:
+               str: Answer to the question about the video file
+                
+           Raises:
+               RuntimeError: If processing fails"""
+        try:
+            client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
+    
+            file = client.files.upload(file=file_path)
+            
+            response = client.models.generate_content(
+                model=VIDEO_ANALYSIS_MODEL, 
+                contents=[file, question]
+            )
+    
+            return response.text
+        except Exception as e:
+            raise RuntimeError(f"Processing failed: {str(e)}")
+            
+    @tool("YouTube Analysis Tool")
+    def youtube_analysis_tool(question: str, url: str) -> str:
+        """Given a question and YouTube URL, analyze the video to answer the question.
+    
+           Args:
+               question (str): Question about a YouTube video
+               url (str): The YouTube URL
+                
+           Returns:
+               str: Answer to the question about the YouTube video
+                
+           Raises:
+               RuntimeError: If processing fails"""
+        try:
+            client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
+    
+            return client.models.generate_content(
+                model=YOUTUBE_ANALYSIS_MODEL,
+                contents=types.Content(
+                    parts=[types.Part(file_data=types.FileData(file_uri=url)),
+                           types.Part(text=question)]
+                )
+            )
+        except Exception as e:
+            raise RuntimeError(f"Processing failed: {str(e)}")
+    
+    @tool("Document Analysis Tool")
+    def document_analysis_tool(question: str, file_path: str) -> str:
+        """Given a question and document file, analyze the document to answer the question.
+    
+           Args:
+               question (str): Question about a document file
+               file_path (str): The document file path
+                
+           Returns:
+               str: Answer to the question about the document file
+                
+           Raises:
+               RuntimeError: If processing fails"""
+        try:
+            client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
+    
+            contents = []
+            
+            if is_ext(file_path, ".docx"):
+                text_data = read_docx_text(file_path)
+                contents = [f"{question}\n{text_data}"]
+                print(f"=> Text data:\n{text_data}")
+            elif is_ext(file_path, ".pptx"):
+                text_data = read_pptx_text(file_path)
+                contents = [f"{question}\n{text_data}"]
+                print(f"=> Text data:\n{text_data}")
+            else:
+                file = client.files.upload(file=file_path)
+                contents = [file, question]
+            
+            response = client.models.generate_content(
+                model=DOCUMENT_ANALYSIS_MODEL,
+                contents=contents
+            )
+          
+            return response.text
+        except Exception as e:
+            raise RuntimeError(f"Processing failed: {str(e)}")
+    
+    @tool("Arithmetic Tool")
+    def arithmetic_tool(question: str, a: float, b: float) -> float:
+        """Given a question and two numbers, perform the calculation to answer the question.
+    
+           Args:
+               question (str): Question to answer
+               a (float): First number
+               b (float): Second number
+                
+           Returns:
+               float: Result number
+                
+           Raises:
+               RuntimeError: If processing fails"""
+        try:
+            client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
+            
+            response = client.models.generate_content(
+                model=ARITHMETIC_MODEL,
+                contents=question,
+                config=types.GenerateContentConfig(
+                    tools=[add, subtract, multiply, divide, modulus]
+                )
+            )
+    
+            return response.text
+        except Exception as e:
+            raise RuntimeError(f"Processing failed: {str(e)}")
+    
+    @tool("Code Execution Tool")
+    def code_execution_tool(question: str, file_path: str) -> str:
+        """Given a question and Python file, execute the file to answer the question.
+    
+           Args:
+               question (str): Question to answer
+               file_path (str): The Python file path
+                
+           Returns:
+               str: Answer to the question
+                
+           Raises:
+               RuntimeError: If processing fails"""
+        try:
+            client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
+    
+            file = client.files.upload(file=file_path)
+    
+            response = client.models.generate_content(
+                model=CODE_EXECUTION_MODEL,
+                contents=[file, question],
+                config=types.GenerateContentConfig(
+                    tools=[types.Tool(code_execution=types.ToolCodeExecution)]
+                ),
+            )
+            
+            for part in response.candidates[0].content.parts:
+                if part.code_execution_result is not None:
+                    return part.code_execution_result.output
+        except Exception as e:
+            raise RuntimeError(f"Processing failed: {str(e)}")
+    
+    @tool("Code Generation Tool")
+    def code_generation_tool(question: str, json_data: str) -> str:
+        """Given a question and JSON data, generate and execute code to answer the question.
+           Args:
+               question (str): Question to answer
+                file_path (str): The JSON data
+           Returns:
+               str: Answer to the question
+               
+           Raises:
+               RuntimeError: If processing fails"""
+        try:
+            client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
+                    
+            response = client.models.generate_content(
+                model=CODE_GENERATION_MODEL,
+                contents=[f"{question}\n{json_data}"],
+                config=types.GenerateContentConfig(
+                    tools=[types.Tool(code_execution=types.ToolCodeExecution)]
+                ),
+            )
+            
+            for part in response.candidates[0].content.parts:
+                if part.code_execution_result is not None:
+                    return part.code_execution_result.output
+        except Exception as e:
+            raise RuntimeError(f"Processing failed: {str(e)}")