Use structured outputs with Pydantic models instead of text parsing

main.py

@@ -7,7 +7,9 @@ import dspy
 class ErrorReport(BaseModel):
     error: str = Field(..., description="Error message")
     timestamp: str = Field(..., description="Timestamp of error")
-    line_located: int | None = Field(..., description="Line number where error occurred")
+    line_located: int | None = Field(
+        ..., description="Line number where error occurred"
+    )
     file_located: str | None = Field(..., description="File where error occurred")
     description: str = Field(..., description="Description of errors")
     reccomedated_fixes: list[str] = Field(..., description="List of recommended fixes")
@@ -37,24 +39,6 @@ def main():
         commit_message="Use structured outputs with Pydantic models instead of text parsing",
     )
 
-    # agent = AutoProgram.from_precompiled("farouk1/claude-code", signature=ClaudeCodeSignature, working_directory=".", permission_mode="acceptEdits", allowed_tools=["Read", "Write", "Bash"])
-    """
-    print("Running Claude Code...")
-    result = cc(log_file="log.txt")
-    print("Claude Code finished running!")
-    print("-" * 50)
-    print("Output: ", result.output)
-    print("Output type: ", type(result.output))
-    print("Usage: ", result.usage)
-    print("Output type: ", type(result.output))
-    print("-" * 50)
-
-    print()
-    print("Trace:")
-    for i, item in enumerate(result.trace):
-        print(f"  {i}: {item}")
-    """
-
 
 if __name__ == "__main__":
     main()