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Pr check #93

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wants to merge 10 commits into from
Closed

Pr check #93

wants to merge 10 commits into from

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nithilanimraka
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@pr-respond-test
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Hi, I am a code reviewer bot. I will analyze the PR and provide detailed review comments.

Comment on lines +11 to +15
output={
"title": "Analyzing Changes",
"summary": "🔍 Scanning code changes with AI...",
"text": "This may take 20-30 seconds"
}

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Issue: The field 'text' in 'output' dictionary is not defined in GitHub API's check run output format.

Severity: error

Suggestion: Remove the 'text' field from the 'output' dictionary to comply with GitHub API standards.

output={
    "title": "Analyzing Changes",
    "summary": "🔍 Scanning code changes with AI..."
}

"annotation_level": map_severity(result['severity']),
"message": result['comment'],
"raw_details": f"Suggestion: {result['suggestion']}\n\n{result.get('suggestedCode', '')}"
}

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Issue: Formatted string 'raw_details' may expose sensitive information through 'suggestedCode'.

Severity: warning

Suggestion: Ensure that 'suggestedCode' does not contain any sensitive data or is appropriately sanitized before being used.

Comment on lines +46 to +47
# conclusion="success" if len(annotations) == 0 else "action_required",
conclusion="success",

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Issue: The 'conclusion' logic should dynamically determine success or failure based on annotations.

Severity: info

Suggestion: Uncomment and fix the original conditional logic to set the 'conclusion' field correctly.

conclusion="success" if len(annotations) == 0 else "action_required"

Comment on lines +65 to +111
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.

Returns a list of dicts, each representing a file change:
{
"file_name": str,
"changes": [
{
"type": "added" | "removed" | "context",
"line_number": int, # For added or context lines, this is target_line_no.
# For removed lines, use source_line_no.
"content": str
},
...
]
}
"""
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

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Issue: If 'diff_content' is overly large, initializing 'PatchSet' might be resource-intensive and cause memory issues.

Severity: performance

Suggestion: Consider paginating the 'diff_content' or processing it in parts to avoid potential memory overflows.

from pydantic import BaseModel, Field


api_key = os.environ.get('OPENAI_API_KEY')

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Issue: The 'api_key' retrieved from environment variables could potentially be null if not set, causing failures in API calls.

Severity: error

Suggestion: Add a validation check to ensure 'api_key' is not null and raise or handle exception transparently if it is.

api_key = os.environ.get('OPENAI_API_KEY')
if not api_key:
    raise EnvironmentError("OPENAI_API_KEY environment variable not set.")

@@ -5,6 +5,10 @@
from fastapi import FastAPI, Request, HTTPException, Header
from dotenv import load_dotenv
from github import Github, GithubIntegration
import requests

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Issue: Missing request timeout could lead to unresponsive waiting periods in network requests, especially when calling external APIs.

Severity: warning

Suggestion: Set a global timeout parameter for requests to avoid indefinite hangs and improve fault tolerance.

parsed_files = parse_diff_file_line_numbers(response.text)

# Build a structured diff text for the prompt.
structured_diff_text = build_review_prompt_with_file_line_numbers(parsed_files)

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Issue: Potential security risk if 'parsed_files' contains unverified data before being processed or logged.

Severity: warning

Suggestion: Ensure that 'parsed_files' data is sanitized and safe prior to further manipulation or logging.

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