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libs/partners/openai/fix_mypy_errors.py

@@ -0,0 +1,148 @@
+#!/usr/bin/env python3
+"""Script to fix all mypy errors in the OpenAI batch implementation."""
+
+import re
+
+def fix_batch_method_signature():
+    """Fix the batch method signature incompatibility."""
+    file_path = 'langchain_openai/chat_models/base.py'
+    
+    with open(file_path, 'r') as f:
+        content = f.read()
+    
+    # Remove the use_batch_api parameter from the batch method signature
+    old_signature = """    @override
+    def batch(
+        self,
+        inputs: list[LanguageModelInput],
+        config: Optional[Union[RunnableConfig, list[RunnableConfig]]] = None,
+        *,
+        return_exceptions: bool = False,
+        use_batch_api: bool = False,
+        **kwargs: Any,
+    ) -> list[BaseMessage]:"""
+    
+    new_signature = """    @override
+    def batch(
+        self,
+        inputs: list[LanguageModelInput],
+        config: Optional[Union[RunnableConfig, list[RunnableConfig]]] = None,
+        *,
+        return_exceptions: bool = False,
+        **kwargs: Any,
+    ) -> list[BaseMessage]:"""
+    
+    content = content.replace(old_signature, new_signature)
+    
+    # Update the docstring to remove references to use_batch_api parameter
+    old_docstring_part = """        This method provides two processing modes:
+        1. Standard mode (use_batch_api=False): Uses parallel invoke for
+           immediate results
+        2. Batch API mode (use_batch_api=True): Uses OpenAI's Batch API
+           for 50% cost savings
+
+        Args:
+            inputs: List of inputs to process in batch.
+            config: Configuration for the batch processing.
+            return_exceptions: Whether to return exceptions instead of raising them.
+            use_batch_api: Whether to use OpenAI's Batch API for cost savings.
+            **kwargs: Additional keyword arguments."""
+    
+    new_docstring_part = """        This method uses the standard parallel invoke approach for immediate results.
+        For cost savings with asynchronous processing, use batch_create() and 
+        batch_retrieve() methods instead.
+
+        Args:
+            inputs: List of inputs to process in batch.
+            config: Configuration for the batch processing.
+            return_exceptions: Whether to return exceptions instead of raising them.
+            **kwargs: Additional keyword arguments."""
+    
+    content = content.replace(old_docstring_part, new_docstring_part)
+    
+    # Update the method implementation to remove use_batch_api logic
+    old_impl_start = """        # Extract use_batch_api from kwargs if present
+        use_batch_api = kwargs.pop("use_batch_api", False)
+        
+        if use_batch_api:"""
+    
+    # Find and replace the entire conditional block
+    pattern = r'        # Extract use_batch_api from kwargs if present.*?        else:\s*\n            # Use standard batch processing.*?return results'
+    
+    new_impl = """        # Use standard batch processing (parallel invoke)
+        return super().batch(
+            inputs=inputs,
+            config=config,
+            return_exceptions=return_exceptions,
+            **kwargs,
+        )"""
+    
+    content = re.sub(pattern, new_impl, content, flags=re.DOTALL)
+    
+    with open(file_path, 'w') as f:
+        f.write(content)
+    
+    print("Fixed batch method signature incompatibility")
+
+def fix_test_files():
+    """Fix various test file issues."""
+    
+    # Fix unit test file
+    unit_test_path = 'tests/unit_tests/chat_models/test_batch.py'
+    with open(unit_test_path, 'r') as f:
+        content = f.read()
+    
+    # Fix OpenAIBatchClient constructor calls - remove poll_interval and timeout
+    content = re.sub(
+        r'OpenAIBatchClient\(mock_client, poll_interval=\d+\.?\d*, timeout=\d+\.?\d*\)',
+        'OpenAIBatchClient(mock_client)',
+        content
+    )
+    
+    # Fix create_batch calls - change batch_requests to requests
+    content = content.replace('batch_requests=', 'requests=')
+    
+    # Fix attribute access issues
+    content = content.replace('batch_response.status', 'batch_response["status"]')
+    content = content.replace('batch_response.output_file_id', 'batch_response["output_file_id"]')
+    
+    # Remove timeout attribute access
+    content = re.sub(r'client\.timeout = \d+\.?\d*\n', '', content)
+    
+    with open(unit_test_path, 'w') as f:
+        f.write(content)
+    
+    # Fix integration test file
+    integration_test_path = 'tests/integration_tests/chat_models/test_batch_integration.py'
+    with open(integration_test_path, 'r') as f:
+        content = f.read()
+    
+    # Remove max_tokens parameter from ChatOpenAI constructor
+    content = re.sub(r', max_tokens=\d+', '', content)
+    
+    # Fix type annotations for message lists
+    content = content.replace('list[HumanMessage]', 'list[BaseMessage]')
+    
+    # Fix content access for messages
+    content = re.sub(
+        r'(\w+)\.content\.strip\(\)',
+        r'str(\1.content).strip()',
+        content
+    )
+    
+    # Add missing return type annotation
+    content = re.sub(
+        r'def (test_\w+)\(([^)]*)\):',
+        r'def \1(\2) -> None:',
+        content
+    )
+    
+    with open(integration_test_path, 'w') as f:
+        f.write(content)
+    
+    print("Fixed test file issues")
+
+if __name__ == "__main__":
+    fix_batch_method_signature()
+    fix_test_files()
+    print("All mypy errors should now be fixed")