176 lines
6.7 KiB
JavaScript
176 lines
6.7 KiB
JavaScript
import path from 'path';
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import { GITEA_REPOSITORY, PR_NUMBER, PR_HEAD_BRANCH, PR_BASE_BRANCH, getLLMConfig, FINDINGS_PATH, EXCLUSIONS_PATH } from './config.js';
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import { loadRoles, getRoleIntro } from './roles.js';
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import { getPRDiff, postComment, getCommitMessageBySha, getBotReviewOutcome, shouldSkipBotCommit } from './gitea.js';
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import { analyzeWithRole, loadOldFindings, mergeFindings, sortByLevel, deduplicateWithAI, loadExclusions, applyExclusions, filterFalsePositivesWithAI } from './findings.js';
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import { saveFindings, postFindingsReview, formatFindingsStats } from './comments.js';
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import { cloneRepo, commitAndPush, getRepoState } from './git.js';
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import { validateJSONArrayFile, ensureJSONArrayFileExists } from './json.js';
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import { runPreflight } from './preflight.js';
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import { section, step, line, ok, warn, error } from './log.js';
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const WORKSPACE = process.env.GITHUB_WORKSPACE || '/workspace';
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function logFindingsStats(label, findings) {
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line(`${label}:`);
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for (const row of formatFindingsStats(findings).split('\n')) line(row);
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}
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async function main() {
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section('AI Code Review Pipeline');
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step('Step1', 'Pipeline 啟動');
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line(`repo=${GITEA_REPOSITORY} PR=#${PR_NUMBER}`);
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line(`${PR_HEAD_BRANCH} -> ${PR_BASE_BRANCH}`);
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if (!(await runPreflight(WORKSPACE))) {
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error('前置驗證未通過，終止流程');
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section('Pipeline 結束');
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process.exit(1);
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}
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const headSha = process.env.PR_HEAD_SHA || process.env.GITHUB_SHA || '';
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const headMessage = await getCommitMessageBySha(headSha);
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const headOutcome = getBotReviewOutcome(headMessage);
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line(`head check: sha=${headSha || 'empty'} outcome=${headOutcome}`);
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if (headMessage.includes('[ai-review-bot]') && headOutcome === 'failure') {
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error('偵測到 [ai-review-bot][failure]，直接讓 workflow 失敗');
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section('Pipeline 結束');
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process.exit(1);
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}
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if (await shouldSkipBotCommit()) {
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ok('偵測到 [ai-review-bot] 自動提交，直接完成 action');
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section('Pipeline 結束');
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process.exit(0);
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}
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const { provider, baseURL, model } = getLLMConfig();
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if (!provider) {
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error('未設定任何 LLM API Key，請檢查 action inputs');
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process.exit(1);
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}
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line(`LLM: provider=${provider} model=${model} base_url=${baseURL}`);
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const roles = loadRoles();
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line(`已載入 ${roles.length} 個角色: [${roles.map(r => r.name).join(', ')}]`);
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let diff;
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try {
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diff = await getPRDiff();
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line(`diff 長度: ${diff.length} 字元`);
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} catch (e) {
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error(`取得 diff 失敗: ${e.message}`);
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process.exit(1);
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}
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if (!diff.trim()) {
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warn('diff 為空，無需審查');
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process.exit(0);
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}
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try {
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const intro = getRoleIntro(roles) + `\n\n> 🔍 服務：${provider} 模型：${model}`;
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await postComment(intro);
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ok('角色介紹 comment 發布成功');
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} catch (e) {
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warn(`comment 發布失敗（繼續執行）: ${e.message}`);
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}
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step('Step3', 'Findings 產生');
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const results = await Promise.allSettled(roles.map(role => analyzeWithRole(role, diff)));
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const newFindings = [];
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for (let i = 0; i < results.length; i++) {
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if (results[i].status === 'fulfilled') {
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newFindings.push(...results[i].value);
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} else {
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warn(`[${roles[i].name}] 分析失敗（跳過）: ${results[i].reason?.message}`);
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}
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}
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ok(`Step3 完成: 新 findings 總計 ${newFindings.length} 筆`);
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logFindingsStats('Step3 統計', newFindings);
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step('Step4', 'Findings 合併與語意去重');
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let repoDir;
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try {
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repoDir = cloneRepo(WORKSPACE);
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} catch (e) {
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warn(`clone repo 失敗（繼續執行）: ${e.message}`);
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}
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const repoState = repoDir ? getRepoState(repoDir) : null;
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if (repoState) {
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line(`repo 狀態: branch=${repoState.branch || 'detached'} commit=${repoState.shortSha || 'unknown'} commit_time=${repoState.commitTime || 'unknown'} path=${repoState.repoDir}`);
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}
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const oldFindings = loadOldFindings(repoDir || WORKSPACE);
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logFindingsStats('Step4 舊 findings 統計', oldFindings);
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logFindingsStats('Step4 新 findings 統計', newFindings);
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const mergedFindings = mergeFindings(oldFindings, newFindings);
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ok(`Step4 merged findings total=${mergedFindings.length}`);
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logFindingsStats('Step4 合併後統計', mergedFindings);
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const deduped = await deduplicateWithAI(mergedFindings);
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logFindingsStats('Step4 AI 去重後統計', deduped);
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const sorted = sortByLevel(deduped);
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ok(`Step4 去重完成: ${mergedFindings.length} -> ${sorted.length} 筆`);
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logFindingsStats('Step4 排序後統計', sorted);
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step('Step5', 'AI 排除問題過濾');
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const exclusions = loadExclusions(repoDir || WORKSPACE, repoState, WORKSPACE);
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const ruleFiltered = applyExclusions(sorted, exclusions);
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logFindingsStats('Step5 規則排除後統計', ruleFiltered);
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const filtered = await filterFalsePositivesWithAI(ruleFiltered, exclusions);
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logFindingsStats('Step5 AI 誤報過濾後統計', filtered);
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ok(`Step5 完成: findings total=${filtered.length}`);
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step('Step6', 'Findings 寫入與 Review 發布');
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const reviewDir = repoDir || WORKSPACE;
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saveFindings(WORKSPACE, filtered, reviewDir);
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try {
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logFindingsStats('Step6 儲存 findings 統計', filtered);
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logFindingsStats('Step6 review summary 統計', filtered);
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logFindingsStats('Step6 review comments 統計', filtered);
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await postFindingsReview(filtered, {
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summaryFindings: filtered,
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commentFindings: filtered,
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});
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ok('Step6 完成');
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} catch (e) {
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warn(`review 發布失敗（繼續執行）: ${e.message}`);
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}
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step('Step7', 'JSON 格式驗證');
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const missingPaths = [];
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for (const relPath of [FINDINGS_PATH, EXCLUSIONS_PATH]) {
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const fullPath = path.join(reviewDir, relPath);
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try {
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const result = await validateJSONArrayFile(fullPath, relPath);
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if (!result.exists) missingPaths.push({ fullPath, relPath });
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} catch {
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process.exit(1);
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}
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}
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for (const { fullPath, relPath } of missingPaths) {
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ensureJSONArrayFileExists(fullPath, relPath);
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}
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step('Step8', '記憶區 Commit/Push');
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const reviewOutcome = filtered.some(f => f.level === 'critical') ? 'failure' : 'success';
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line(`review outcome=${reviewOutcome}`);
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await commitAndPush(WORKSPACE, repoDir || WORKSPACE, undefined, undefined, reviewOutcome);
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step('Step9', '嚴重問題檢查');
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const criticalCount = filtered.filter(f => f.level === 'critical').length;
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if (criticalCount > 0) {
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error(`發現 ${criticalCount} 個嚴重問題，workflow 結束（exit 1）`);
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section('Pipeline 結束');
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process.exit(1);
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}
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ok('無嚴重問題');
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ok('Pipeline 完成');
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section('Pipeline 結束');
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}
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main().catch(e => {
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error(`Runner failed: ${e.message}`);
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process.exit(1);
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});
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