Pr advanced display #124
Pr advanced display #124
Found 11 items
AI Code Review Results
Annotations
Check warning on line 144 in main.py
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
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
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
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
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
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
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
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
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"