mirror of
https://github.com/PierreGode/Linux-Active-Directory-join-script.git
synced 2025-12-21 08:50:12 +01:00
130 lines
4.3 KiB
YAML
130 lines
4.3 KiB
YAML
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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jobs:
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code_review:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout Code
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uses: actions/checkout@v3
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- name: Set Up Python
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uses: actions/setup-python@v4
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with:
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python-version: '3.9'
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- name: Install Python Dependencies
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run: |
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python -m pip install --upgrade pip
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pip install requests
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- name: Run Code Review
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env:
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OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
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GITHUB_TOKEN: ${{ secrets.G_TOKEN }}
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run: |
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python - <<EOF
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import os
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import requests
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import json
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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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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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# 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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pr_number = event["pull_request"]["number"]
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repo_full_name = event["repository"]["full_name"]
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# Fetch PR diff
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headers = {
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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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pr_files = requests.get(diff_url, headers=headers).json()
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# Prepare inline comments
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inline_comments = []
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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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if not patch.strip():
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continue
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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 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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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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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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# 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",
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"body": f"**AI Code Review:**\n{description}",
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}
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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("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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