105 lines
3.8 KiB
JavaScript
105 lines
3.8 KiB
JavaScript
import { GITEA_REPOSITORY, PR_NUMBER, PR_HEAD_BRANCH, PR_BASE_BRANCH, getLLMConfig } from './config.js';
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import { loadRoles, getRoleIntro } from './roles.js';
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import { getPRDiff, postComment } from './gitea.js';
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import { analyzeWithRole, loadOldFindings, mergeFindings, sortByLevel, deduplicateWithAI } from './findings.js';
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import { saveFindings, postOldFindingsComment, postNewNonCriticalComment, postNewCriticalComments } from './comments.js';
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const WORKSPACE = process.env.GITHUB_WORKSPACE || '/workspace';
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async function main() {
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console.log('='.repeat(60));
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console.log('🚀 Step1: Pipeline 啟動');
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console.log(` repo=${GITEA_REPOSITORY} PR=#${PR_NUMBER}`);
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console.log(` ${PR_HEAD_BRANCH} -> ${PR_BASE_BRANCH}`);
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// 偵測 LLM
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const { provider, baseURL, model } = getLLMConfig();
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if (!provider) {
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console.error('❌ 未設定任何 LLM API Key,請檢查 action inputs');
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process.exit(1);
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}
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console.log(` LLM: provider=${provider} model=${model} base_url=${baseURL}`);
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// 載入角色
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const roles = loadRoles();
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console.log(` 已載入 ${roles.length} 個角色: [${roles.map(r => r.name).join(', ')}]`);
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// 取得 PR diff
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console.log('\n📋 Step1: 取得 PR Diff');
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let diff;
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try {
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diff = await getPRDiff();
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console.log(` diff 長度: ${diff.length} 字元`);
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} catch (e) {
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console.error(` ❌ 取得 diff 失敗: ${e.message}`);
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process.exit(1);
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}
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if (!diff.trim()) {
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console.log(' ⚠️ diff 為空,無需審查');
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process.exit(0);
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}
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// 發布角色介紹 comment
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console.log('\n💬 Step1: 發布角色介紹 Comment');
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try {
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const intro = getRoleIntro(roles) + `\n\n> 🔍 服務:${provider} 模型:${model}`;
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await postComment(intro);
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console.log(' ✅ 角色介紹 comment 發布成功');
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} catch (e) {
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console.log(` ⚠️ comment 發布失敗(繼續執行): ${e.message}`);
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}
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// Step2: 各角色分析 diff 產生新 findings
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console.log('\n📊 Step2: Findings 產生');
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const newFindings = [];
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for (const role of roles) {
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try {
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const found = await analyzeWithRole(role, diff);
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newFindings.push(...found);
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} catch (e) {
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console.log(` ⚠️ [${role.name}] 分析失敗(跳過): ${e.message}`);
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}
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}
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console.log(` Step2 完成: 新 findings 總計 ${newFindings.length} 筆`);
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// Step3: 讀取舊 findings,合併去重
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console.log('\n🔀 Step3: Findings 合併');
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const oldFindings = loadOldFindings(WORKSPACE);
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const mergedFindings = mergeFindings(oldFindings, newFindings);
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console.log(` Step3 merged findings total=${mergedFindings.length}`);
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// Step3b: AI 語意去重
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console.log('\n🤖 Step3b: AI 語意去重');
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const deduped = await deduplicateWithAI(mergedFindings);
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const sorted = sortByLevel(deduped);
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console.log(` Step3b dedup findings total=${sorted.length} (critical=${sorted.filter(f=>f.level==='critical').length} warning=${sorted.filter(f=>f.level==='warning').length} info=${sorted.filter(f=>f.level==='info').length})`);
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// Step4: 寫入 findings.json,依序發布 comment
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console.log('\n📝 Step4: Findings 寫入與 Comment 發布');
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saveFindings(WORKSPACE, sorted);
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try {
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await postOldFindingsComment(sorted);
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await postNewNonCriticalComment(sorted);
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await postNewCriticalComments(sorted);
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console.log(' Step4 完成');
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} catch (e) {
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console.log(` ⚠️ comment 發布失敗(繼續執行): ${e.message}`);
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}
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console.log('\n💾 Step5: 記憶區 Commit/Push(待實作)');
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console.log(' [stub] commit & push findings.json...');
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console.log('\n🚦 Step6: 嚴重問題檢查(待實作)');
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console.log(' [stub] 檢查 critical findings...');
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console.log('\n✅ Pipeline 完成');
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console.log('='.repeat(60));
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}
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main().catch(e => {
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console.error('❌ Runner failed:', e.message);
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process.exit(1);
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});
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