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Update review.yml
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PierreGode
GitHub
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145
.github/workflows/review.yml
vendored
145
.github/workflows/review.yml
vendored
@ -1,4 +1,5 @@
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name: Code Review Pipeline
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on:
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pull_request:
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types: [opened, synchronize, reopened]
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@ -30,101 +31,99 @@ jobs:
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import requests
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import json
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# Helper function to extract valid line numbers
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def extract_line_number(line_info):
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# Helper function to extract line numbers
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def extract_line_number(issue_text):
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try:
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return int(line_info.split(" ")[1]) # Extract integer after "Line"
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except (IndexError, ValueError):
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return None # Return None if conversion fails
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if "Line" in issue_text:
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line_part = issue_text.split("Line")[1].split(":")[0].strip()
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return int(line_part)
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except (ValueError, IndexError):
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pass
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return None
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# Gather GitHub event details
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event_path = os.environ.get('GITHUB_EVENT_PATH')
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# Load GitHub event data
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event_path = os.getenv("GITHUB_EVENT_PATH")
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with open(event_path, 'r') as f:
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event = json.load(f)
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# Extract PR and repo details
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pr_number = event['pull_request']['number']
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repo_full_name = event['repository']['full_name']
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token = os.environ.get('GITHUB_TOKEN')
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openai_key = os.environ.get('OPENAI_API_KEY')
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pr_number = event["pull_request"]["number"]
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repo_full_name = event["repository"]["full_name"]
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# Get PR diff
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# Fetch PR diff
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headers = {
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'Authorization': f'token {token}',
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'Accept': 'application/vnd.github.v3.diff',
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"Authorization": f'token {os.getenv("GITHUB_TOKEN")}',
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"Accept": "application/vnd.github.v3.diff",
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}
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diff_url = event['pull_request']['url'] + "/files"
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diff_url = event["pull_request"]["url"] + "/files"
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pr_files = requests.get(diff_url, headers=headers).json()
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inline_comments = [] # Collect inline comments to post
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# Prepare inline comments
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inline_comments = []
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# Loop through the files in the PR
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for fdata in pr_files:
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filename = fdata['filename']
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patch = fdata.get('patch', '')
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for file in pr_files:
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filename = file["filename"]
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patch = file.get("patch", "")
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# Debug: Log the patch content to ensure it's being sent correctly
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print(f"Reviewing file: {filename}")
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print(f"Patch:\n{patch}")
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if not patch.strip():
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continue
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# Call OpenAI for inline code analysis
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issues_prompt = f"""
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You are a code reviewer. Analyze the following code patch for issues such as:
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# Send patch to OpenAI for review
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prompt = f"""
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Analyze the following code patch and find:
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- Syntax errors
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- Logical errors
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- Best practices
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Provide specific inline comments that include:
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- The exact line number
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- A clear explanation of the issue
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- A suggested fix
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Analyze only the provided code:
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- Logical issues
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- Security vulnerabilities
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For each issue, specify:
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- Line number
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- Problem description
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- Suggested fix
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Patch:
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{patch}
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"""
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ai_headers = {"Content-Type": "application/json", "Authorization": f"Bearer {openai_key}"}
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data_issues = {
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"model": "gpt-4o-mini",
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"messages": [{"role": "user", "content": issues_prompt}],
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"temperature": 0.5
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openai_headers = {
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"Authorization": f'Bearer {os.getenv("OPENAI_API_KEY")}',
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"Content-Type": "application/json",
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}
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issues_response = requests.post("https://api.openai.com/v1/chat/completions", headers=ai_headers, json=data_issues)
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issues_response.raise_for_status()
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issues = issues_response.json()['choices'][0]['message']['content'].strip()
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openai_payload = {
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"model": "gpt-4o-mini",
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"messages": [{"role": "user", "content": prompt}],
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"temperature": 0.3,
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}
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response = requests.post(
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"https://api.openai.com/v1/chat/completions",
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headers=openai_headers,
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json=openai_payload,
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)
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response.raise_for_status()
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ai_output = response.json()["choices"][0]["message"]["content"]
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# Debug: Log the AI's response
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print(f"AI Response:\n{issues}")
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# Parse issues for inline comments
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if issues and "no issues found" not in issues.lower():
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for issue in issues.split("\\n- "):
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if issue.strip():
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# Example issue format: "Line X: Description of issue"
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if "Line " in issue:
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parts = issue.split(":")
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line_info = parts[0].strip()
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description = ":".join(parts[1:]).strip()
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# Extract valid line number
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line_number = extract_line_number(line_info)
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if line_number is not None:
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inline_comments.append({
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# Process AI output
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for issue in ai_output.split("\n"):
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if "Line" in issue:
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line_number = extract_line_number(issue)
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if line_number:
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description = issue.split(": ", 1)[-1].strip()
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inline_comments.append(
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{
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"path": filename,
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"line": line_number,
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"side": "RIGHT", # Changes are always on the "RIGHT" side in the diff
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"body": f"**AI Code Review:**\n{description}"
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})
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# Post inline comments as a single review
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if inline_comments:
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review_data = {
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"body": "AI-generated review comments for code issues.",
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"event": "COMMENT",
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"comments": inline_comments
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"side": "RIGHT",
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"body": f"**AI Code Review:**\n{description}",
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}
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review_response = requests.post(f"https://api.github.com/repos/{repo_full_name}/pulls/{pr_number}/reviews",
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headers={'Authorization': f'token {token}', 'Accept': 'application/vnd.github.v3+json'},
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json=review_data)
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)
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# Submit review comments
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if inline_comments:
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review_url = f"https://api.github.com/repos/{repo_full_name}/pulls/{pr_number}/reviews"
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review_data = {
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"event": "COMMENT",
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"body": "AI-generated inline comments for code review.",
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"comments": inline_comments,
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}
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review_response = requests.post(review_url, headers=headers, json=review_data)
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review_response.raise_for_status()
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print("Inline review comments posted successfully.")
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print("Code review comments posted successfully.")
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else:
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print("No issues found in the code.")
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EOF
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