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Introduces a workflow that uses an OpenAI model to analyze code changes on the development branch. If an issue is detected in the diff, the script automatically creates a GitHub issue with relevant details, labels, and assignees.
169 lines
5.8 KiB
JavaScript
169 lines
5.8 KiB
JavaScript
#!/usr/bin/env node
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const { execSync } = require('child_process');
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const https = require('https');
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function run(cmd) {
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try {
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return execSync(cmd, { encoding: 'utf8' });
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} catch (e) {
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return '';
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}
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}
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const GITHUB_SHA = process.env.GITHUB_SHA || run('git rev-parse HEAD').trim();
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const REPO = process.env.GITHUB_REPOSITORY || (run('git remote get-url origin').trim().replace(/.*github.com[:\/]/, '').replace(/\.git$/, ''));
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const GITHUB_TOKEN = process.env.GITHUB_TOKEN;
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const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
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const MAX_DIFF_CHARS = parseInt(process.env.MAX_DIFF_CHARS || '20000', 10);
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const DEFAULT_ASSIGNEE = process.env.DEFAULT_ASSIGNEE || '';
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const DEFAULT_LABELS = (process.env.DEFAULT_LABELS || 'ai-review').split(',').map(s => s.trim()).filter(Boolean);
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const OPENAI_MODEL = process.env.OPENAI_MODEL || 'gpt-4o-mini';
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if (!GITHUB_TOKEN) {
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console.error('GITHUB_TOKEN not provided');
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process.exit(1);
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}
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if (!OPENAI_API_KEY) {
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console.error('OPENAI_API_KEY not provided');
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process.exit(1);
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}
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// Compute diff vs previous commit (if exists)
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let diff = '';
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try {
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execSync(`git rev-parse ${GITHUB_SHA}^`, { stdio: 'ignore' });
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diff = run(`git diff --no-prefix --unified=0 ${GITHUB_SHA}^ ${GITHUB_SHA}`);
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} catch (e) {
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diff = run(`git show ${GITHUB_SHA}`);
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}
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if (!diff) {
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console.log('No diff to analyze.');
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process.exit(0);
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}
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if (diff.length > MAX_DIFF_CHARS) diff = diff.slice(0, MAX_DIFF_CHARS) + '\n...[truncated]';
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// Build prompt requesting ONLY JSON output
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const prompt = `
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You are an automated code reviewer. Analyze the following git diff and determine whether there is a problem that requires opening a GitHub issue.
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Return ONLY a single JSON object (no extra text, no surrounding backticks) with these fields:
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- problem_found: true or false
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- title: short issue title (string) — present if problem_found is true
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- body: detailed issue body (string) — present if problem_found is true
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- labels: array of label strings (can be empty)
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- assignees: array of usernames to assign (can be empty)
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Diff:
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${diff}
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`;
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// Call OpenAI Chat Completions API (v1/chat/completions)
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function openaiChat(prompt, model) {
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return new Promise((resolve, reject) => {
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const payload = JSON.stringify({
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model,
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messages: [
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{ role: 'system', content: 'You are a precise code-review assistant. Answer only with JSON as requested.' },
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{ role: 'user', content: prompt }
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],
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max_tokens: 800,
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temperature: 0.0
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});
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const req = https.request({
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hostname: 'api.openai.com',
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path: '/v1/chat/completions',
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Content-Length': Buffer.byteLength(payload),
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'Authorization': `Bearer ${OPENAI_API_KEY}`
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}
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}, res => {
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let data = '';
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res.on('data', d => data += d);
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res.on('end', () => {
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try {
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const parsed = JSON.parse(data);
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const content = (parsed.choices && parsed.choices[0] && (parsed.choices[0].message?.content || parsed.choices[0].text)) || '';
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resolve(content);
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} catch (err) {
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reject(new Error('OpenAI response parse error: ' + err.message + '\nRaw:' + data));
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}
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});
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});
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req.on('error', reject);
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req.write(payload);
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req.end();
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});
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}
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function createIssue(title, body, labels = [], assignees = []) {
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return new Promise((resolve, reject) => {
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const post = JSON.stringify({ title, body, labels, assignees });
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const [owner, repo] = REPO.split('/');
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const options = {
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hostname: 'api.github.com',
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path: `/repos/${owner}/${repo}/issues`,
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method: 'POST',
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headers: {
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'User-Agent': 'ai-code-review-action',
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'Accept': 'application/vnd.github+json',
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'Authorization': `Bearer ${GITHUB_TOKEN}`,
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'Content-Type': 'application/json',
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'Content-Length': Buffer.byteLength(post)
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}
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};
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const req = https.request(options, res => {
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let data = '';
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res.on('data', d => data += d);
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res.on('end', () => {
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try {
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const parsed = JSON.parse(data);
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resolve(parsed);
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} catch (err) {
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reject(new Error('GitHub response parse error: ' + err.message + '\nRaw:' + data));
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}
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});
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});
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req.on('error', reject);
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req.write(post);
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req.end();
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});
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}
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(async () => {
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try {
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console.log('Calling OpenAI to analyze diff (truncated to %d chars)', MAX_DIFF_CHARS);
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const aiReply = await openaiChat(prompt, OPENAI_MODEL);
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console.log('AI raw reply snippet:', aiReply.slice(0, 1000));
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// Try to extract JSON object from AI reply
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const jsonMatch = aiReply.match(/\{[\s\S]*\}$/);
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const jsonText = jsonMatch ? jsonMatch[0] : aiReply;
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let aiObj = null;
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try {
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aiObj = JSON.parse(jsonText);
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} catch (err) {
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console.error('Could not parse AI response as JSON:', err.message);
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console.error('Full AI reply:', aiReply);
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process.exit(0); // assume no problem to avoid false positives
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}
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if (!aiObj.problem_found) {
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console.log('AI determined no problem.');
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process.exit(0);
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}
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const title = aiObj.title || 'Automated code review found an issue';
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const body = aiObj.body || 'AI reported an issue. Please review the diff and details.';
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const labels = (Array.isArray(aiObj.labels) && aiObj.labels.length) ? aiObj.labels : DEFAULT_LABELS;
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const assignees = (Array.isArray(aiObj.assignees) && aiObj.assignees.length) ? aiObj.assignees : (DEFAULT_ASSIGNEE ? [DEFAULT_ASSIGNEE] : []);
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console.log('Creating issue:', title);
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const created = await createIssue(title, body, labels, assignees);
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console.log('Issue created:', created.html_url || created.url);
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} catch (err) {
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console.error('Error in AI review script:', err);
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process.exit(1);
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}
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})(); |