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changes error handling done

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Pr advanced display #124

changes error handling done
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pr-respond-test / AI Code Review succeeded Mar 26, 2025 in 1m 6s

Found 11 items

AI Code Review Results

Annotations

Check warning on line 144 in main.py

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@pr-respond-test pr-respond-test / AI Code Review

main.py#L129-L144

Generic error message in except block. Improve error message to include more context such as the operation that failed and the full exception details.
Raw output
Suggestion: Enhance the error message to include more context about the operation that failed and log the full exception details.

except Exception as e:
    operation = "Creating or updating check run"
    error_message = f"{operation} failed: {str(e)}"
    if check_run is not None:
        check_run.edit(
            status="completed",
            conclusion="failure",
            output={
                "title": "Analysis Failed",
                "summary": error_message
            }
        )
    else:
        print(f"Critical failure before check run creation: {error_message}")
    raise

Check failure on line 77 in llm_utils.py

See this annotation in the file changed.

@pr-respond-test pr-respond-test / AI Code Review

llm_utils.py#L70-L77

Missing error handling for API call. Add try/catch block around the API call and log any exceptions.
Raw output
Suggestion: Wrap the API call in a try/except block to handle potential exceptions and log them appropriately.

try:
    completion = client.beta.chat.completions.parse(
        model="gpt-4o-2024-08-06",
        messages=[
            {"role": "system", "content": "You are an experienced code reviewer."},
            {"role": "user", "content": prompt}
        ],
        response_format=ReviewModel,
    )
except Exception as e:
    print(f"Error during API call: {str(e)}")
    raise

Check failure on line 112 in github_utils.py

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@pr-respond-test pr-respond-test / AI Code Review

github_utils.py#L65-L112

Missing error handling for diff parsing. Add try/catch block around the parsing logic and log any exceptions.
Raw output
Suggestion: Wrap the parsing logic in a try/except block to handle exceptions and log them.

def parse_diff_file_line_numbers(diff_content: str) -> List[Dict]:
    """
    Parse a unified diff string and return a structured list of changes using
    actual file line numbers.
    """
    try:
        patch = PatchSet(diff_content)
        parsed_files = []
        
        for patched_file in patch:
            file_info = {
                "file_name": patched_file.path,
                "changes": []
            }
            for hunk in patched_file:
                for line in hunk:
                    # Decide which line number to use based on change type.
                    if line.is_added or not line.is_removed:
                        line_num = line.target_line_no
                    else:
                        line_num = line.source_line_no
                    
                    if line_num is None:
                        continue  # Skip lines without a valid number
                    
                    # Append each changed line along with its file-based line number.
                    file_info["changes"].append({
                        "type": "added" if line.is_added else "removed" if line.is_removed else "context",
                        "line_number": line_num,
                        "content": line.value.rstrip("\n")
                    })
            parsed_files.append(file_info)
        
        return parsed_files
    except Exception as e:
        print(f"Error parsing diff content: {str(e)}")
        raise

Check warning on line 14 in authenticate_github.py

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@pr-respond-test pr-respond-test / AI Code Review

authenticate_github.py#L12-L14

Missing logging for critical exceptions. Add logging to capture when environment variables are missing.
Raw output
Suggestion: Add logging to capture when critical environment variables are missing.

if not WEBHOOK_SECRET:
    print("Critical: WEBHOOK_SECRET environment variable is not set.")
    raise ValueError("WEBHOOK_SECRET not set")

Check notice on line 35 in authenticate_github.py

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@pr-respond-test pr-respond-test / AI Code Review

authenticate_github.py#L28-L35

Unused functions - These functions are defined but not used within the module, potentially leading to dead code.
Raw output
Suggestion: Remove unused functions or ensure they are called appropriately within the module.

None

Check notice on line 65 in llm_utils.py

See this annotation in the file changed.

@pr-respond-test pr-respond-test / AI Code Review

llm_utils.py#L35-L65

Complex prompt string - The prompt string is very long and complex, making it hard to maintain and modify. Consider breaking it into smaller parts or using a different approach to build the prompt.
Raw output
Suggestion: Break the prompt string into smaller parts or use a different approach to build the prompt for better maintainability.

prompt_intro = """
    Analyze the following code changes and provide detailed review comments.
    Focus on:
    - Code quality and best practices
    - Potential security vulnerabilities
    - Performance implications
    
    Important:
    - Provide insights in the comment section for each code segment. Provide improvements in suggestions when necessary.
    - Always output the codeSegmentToFix in the diff format (e.g., '+ added code', '- removed code', 'or nothing for normal code').
    - If there is a new line in the codeSegmentToFix (when there are multiple lines), you MUST indicate it with the new line symbol.
    - Ensure that you provide all the necessary code lines in the codeSegmentToFix field.
    - If there are multiple comments for the same code segment, provide the comments separated by commas.
    """

prompt_critical = """
    CRITICAL REQUIREMENTS:
    - Precisely mention the position where the comment should be placed.
    - The codeSegmentToFix should exactly start from the start_line_with_prefix and end at the end_line_with_prefix.
    - Use the file-based line numbers provided in the structured diff below.
    - You MUST provide exact start_line_with_prefix and end_line_with_prefix numbers for each comment.
    - Never omit line numbers or the system will fail.
    """

prompt_examples = """
    Examples for start_line_with_prefix when the start_line is from new file: "+5, +2, +51, +61" 
    Examples for start_line_with_prefix when the start_line is from old file: "-8, -1, -56, -20" 
    
    Examples for end_line_with_prefix when the start_line is from new file: "+10, +2, +77, +65" 
    Examples for end_line_with_prefix when the start_line is from old file: "-1, -5, -22, -44" 
    
    Diff content:
    {structured_diff_text}
    """

prompt = f"{prompt_intro}{prompt_critical}{prompt_examples}"

Check notice on line 127 in main.py

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@pr-respond-test pr-respond-test / AI Code Review

main.py#L13-L127

Long and complex function - The webhook function is too long and complex, violating the Single Responsibility Principle. It should be broken down into smaller, focused functions for better maintainability.
Raw output
Suggestion: Refactor the webhook function into smaller, focused functions to improve maintainability and adhere to the Single Responsibility Principle.

None

Check notice on line 13 in main.py

See this annotation in the file changed.

@pr-respond-test pr-respond-test / AI Code Review

main.py#L13

Missing docstring - The webhook function lacks a docstring, making it harder for developers to understand its purpose and functionality.
Raw output
Suggestion: Add a docstring to the webhook function to describe its purpose and functionality.

@app.post("/webhook")
async def webhook(request: Request, x_hub_signature: str = Header(None)):
    """
    Handle incoming webhook requests from GitHub.

    This function verifies the webhook signature, processes the payload to
    determine if it is a pull request event, and initiates a code review
    process if applicable.

    Args:
        request (Request): The incoming request object.
        x_hub_signature (str): The signature header from GitHub for verification.

    Returns:
        dict: An empty dictionary as a response.
    """

Check failure on line 70 in llm_utils.py

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@pr-respond-test pr-respond-test / AI Code Review

llm_utils.py#L70

The OpenAI model name is incorrect. The correct model name should be 'gpt-4o' or another valid OpenAI model name. The current name 'gpt-4o-2024-08-06' is not a valid model name provided by OpenAI.
Raw output
Suggestion: Update the model name to a valid OpenAI model name such as 'gpt-4o'.

model="gpt-4o"