refactor: improve comment formatting and streamline AI handling in findings processing
This commit is contained in:
+1
-1
@@ -63,7 +63,7 @@ export async function postNewCriticalComments(findings) {
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return;
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}
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for (const f of criticals) {
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const body = `## 🚨 嚴重問題\n\n| 審查員 | 位置 | 建議 |\n|--------|------|------|\n| ${f.role} | ${f.location} | ${f.suggestion} |`;
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const body = `## 🚨 嚴重問題\n\n${buildTable([f])}`;
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await postComment(body);
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console.log(` ✅ 嚴重問題 comment 發布: [${f.role}] ${f.location}`);
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}
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+17
-30
@@ -11,7 +11,6 @@ const LEVELS = ['critical', 'warning', 'info'];
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export async function analyzeWithRole(role, diff) {
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console.log(` [${role.name}] 開始分析...`);
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const findings = await chatJSON(role.system_prompt, `以下是 Git Diff 內容：\n\n${diff}`);
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// 確保每筆都有必要欄位，並標記為新問題
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const valid = findings.filter(f => f.level && f.role && f.location && f.suggestion)
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.map(f => ({ ...f, is_new: true }));
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console.log(` [${role.name}] 找到 ${valid.length} 個問題`);
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@@ -40,7 +39,6 @@ export function loadOldFindings(workspace) {
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/**
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* 合併新舊 findings，以 (role + location + suggestion前50字) 為 key 去除重複
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* 舊問題保留，新問題若與舊問題重複則捨棄
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*/
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export function mergeFindings(oldFindings, newFindings) {
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const key = f => `${f.role}|${f.location}|${String(f.suggestion).slice(0, 50)}`;
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@@ -63,8 +61,17 @@ export function sortByLevel(findings) {
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}
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/**
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* 呼叫 LLM 進行語意去重，回傳去重後的 findings
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* 失敗時降級回傳原始 findings
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* AI 呼叫失敗時的統一降級處理
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*/
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function fallback(label, findings, e) {
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const status = e.response?.status;
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const reason = (status === 402 || status === 429) ? `${status} 額度/限流` : e.message;
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console.log(` ⚠️ ${label}失敗（${reason}），降級：保留所有問題`);
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return findings;
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}
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/**
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* 呼叫 LLM 進行語意去重，失敗時降級回傳原始 findings
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*/
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export async function deduplicateWithAI(findings) {
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if (findings.length === 0) return findings;
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@@ -74,29 +81,20 @@ export async function deduplicateWithAI(findings) {
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保留等級較高的版本，優先保留 critical > warning > info。
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只回傳去重後的 JSON 陣列，不要有其他文字。`;
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const userContent = `以下是問題清單，請去除語意重複的項目：\n\n${JSON.stringify(findings, null, 2)}`;
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try {
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const result = await chatJSON(systemPrompt, userContent);
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const result = await chatJSON(systemPrompt, `以下是問題清單，請去除語意重複的項目：\n\n${JSON.stringify(findings, null, 2)}`);
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if (Array.isArray(result) && result.length > 0) {
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console.log(` AI 去重: ${findings.length} -> ${result.length} 筆`);
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return result;
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}
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throw new Error('AI 回傳空陣列');
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} catch (e) {
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const status = e.response?.status;
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if (status === 402 || status === 429) {
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console.log(` ⚠️ AI 去重失敗（${status} 額度/限流），降級：保留所有問題`);
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} else {
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console.log(` ⚠️ AI 去重失敗（${e.message}），降級：保留所有問題`);
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}
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return findings;
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return fallback('AI 去重', findings, e);
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}
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}
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/**
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* 讀取排除問題檔案（從 workspace 的 EXCLUSIONS_PATH）
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* 格式：[{ role, location, suggestion }]，欄位可部分省略，省略表示萬用
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*/
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export function loadExclusions(workspace) {
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const fullPath = path.join(workspace, EXCLUSIONS_PATH);
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@@ -125,17 +123,14 @@ export function applyExclusions(findings, exclusions) {
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const filtered = findings.filter(f => !exclusions.some(ex => {
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const fPath = String(f.location).split(':')[0];
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const exPath = ex.location ? String(ex.location).split(':')[0] : null;
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return (!exPath || fPath === exPath) &&
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(!ex.role || ex.role === f.role);
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return (!exPath || fPath === exPath) && (!ex.role || ex.role === f.role);
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}));
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console.log(` 排除過濾: ${before} -> ${filtered.length} 筆（排除 ${before - filtered.length} 筆）`);
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return filtered;
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}
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/**
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* 呼叫 AI 判斷哪些問題是誤報或不需處理，回傳需保留的 findings
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* exclusions 為已知誤報清單，供 AI 參考判斷
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* 失敗時降級回傳原始 findings
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* 呼叫 AI 判斷哪些問題是誤報或不需處理，失敗時降級回傳原始 findings
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*/
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export async function filterFalsePositivesWithAI(findings, exclusions = []) {
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if (findings.length === 0) return findings;
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@@ -152,22 +147,14 @@ export async function filterFalsePositivesWithAI(findings, exclusions = []) {
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3. 與已知誤報清單語意相近的問題（檔案路徑相同且建議內容相似）
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只回傳需要保留的問題 JSON 陣列，不要有其他文字。${exclusionHint}`;
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const userContent = `請判斷以下問題清單，移除誤報或不需處理的問題：\n\n${JSON.stringify(findings, null, 2)}`;
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try {
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const result = await chatJSON(systemPrompt, userContent);
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const result = await chatJSON(systemPrompt, `請判斷以下問題清單，移除誤報或不需處理的問題：\n\n${JSON.stringify(findings, null, 2)}`);
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if (Array.isArray(result) && result.length > 0) {
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console.log(` AI 誤報過濾: ${findings.length} -> ${result.length} 筆`);
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return result;
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}
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throw new Error('AI 回傳空陣列或非陣列');
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} catch (e) {
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const status = e.response?.status;
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if (status === 402 || status === 429) {
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console.log(` ⚠️ AI 誤報過濾失敗（${status} 額度/限流），降級：保留所有問題`);
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} else {
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console.log(` ⚠️ AI 誤報過濾失敗（${e.message}），降級：保留所有問題`);
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}
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return findings;
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return fallback('AI 誤報過濾', findings, e);
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}
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}
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+35
-46
@@ -14,20 +14,26 @@ function makeRunner(spawn) {
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};
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}
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function withAskpass(workspace, fn) {
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const askpassScript = path.join(workspace, '.git-askpass.sh');
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fs.writeFileSync(askpassScript, '#!/bin/sh\necho "$GIT_TOKEN"\n', { mode: 0o700 });
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const credEnv = { ...process.env, GIT_ASKPASS: askpassScript, GIT_USERNAME: 'x-token', GIT_TOKEN: GITEA_TOKEN };
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try {
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return fn(credEnv);
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} finally {
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try { fs.unlinkSync(askpassScript); } catch {}
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}
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}
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/**
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* Clone PR head branch to workspace/repo (idempotent)
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*/
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export function cloneRepo(workspace, _spawnSync = spawnSync) {
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const run = makeRunner(_spawnSync);
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const baseUrl = GITEA_SERVER_URL.replace(/\/$/, '');
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const remoteUrl = `${baseUrl}/${GITEA_REPOSITORY}.git`;
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const remoteUrl = `${GITEA_SERVER_URL.replace(/\/$/, '')}/${GITEA_REPOSITORY}.git`;
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const repoDir = path.join(workspace, 'repo');
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const askpassScript = path.join(workspace, '.git-askpass.sh');
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fs.writeFileSync(askpassScript, '#!/bin/sh\necho "$GIT_TOKEN"\n', { mode: 0o700 });
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const credEnv = { ...process.env, GIT_ASKPASS: askpassScript, GIT_USERNAME: 'x-token', GIT_TOKEN: GITEA_TOKEN };
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try {
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return withAskpass(workspace, credEnv => {
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if (!fs.existsSync(repoDir)) {
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run(['clone', '--depth=1', '--branch', PR_HEAD_BRANCH, remoteUrl, repoDir], workspace, credEnv);
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console.log(` ✅ repo cloned to ${repoDir}`);
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@@ -36,57 +42,40 @@ export function cloneRepo(workspace, _spawnSync = spawnSync) {
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run(['checkout', PR_HEAD_BRANCH], repoDir);
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console.log(` ✅ repo already exists, fetched latest`);
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}
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} finally {
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try { fs.unlinkSync(askpassScript); } catch {}
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}
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return repoDir;
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return repoDir;
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});
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}
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export async function commitAndPush(workspace, _spawnSync = spawnSync) {
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const run = makeRunner(_spawnSync);
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const baseUrl = GITEA_SERVER_URL.replace(/\/$/, '');
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const remoteUrl = `${baseUrl}/${GITEA_REPOSITORY}.git`;
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const repoDir = path.join(workspace, 'repo');
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// Write a temporary askpass script that reads the token from an env var,
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// so the token value never appears in the script file itself
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const askpassScript = path.join(workspace, '.git-askpass.sh');
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fs.writeFileSync(askpassScript, '#!/bin/sh\necho "$GIT_TOKEN"\n', { mode: 0o700 });
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const credEnv = { ...process.env, GIT_ASKPASS: askpassScript, GIT_USERNAME: 'x-token', GIT_TOKEN: GITEA_TOKEN };
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const remoteUrl = `${GITEA_SERVER_URL.replace(/\/$/, '')}/${GITEA_REPOSITORY}.git`;
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try {
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if (!fs.existsSync(repoDir)) {
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run(['clone', '--depth=1', '--branch', PR_HEAD_BRANCH, remoteUrl, repoDir], workspace, credEnv);
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}
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const repoDir = cloneRepo(workspace, _spawnSync);
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run(['config', 'user.email', 'ai-review[bot]@gitea'], repoDir);
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run(['config', 'user.name', 'AI Review Bot'], repoDir);
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run(['fetch', 'origin', PR_HEAD_BRANCH], repoDir, credEnv);
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run(['checkout', PR_HEAD_BRANCH], repoDir);
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await withAskpass(workspace, async credEnv => {
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run(['config', 'user.email', 'ai-review[bot]@gitea'], repoDir);
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run(['config', 'user.name', 'AI Review Bot'], repoDir);
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// 將 findings.json 從 workspace 複製到 clone 的 repo
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const srcFindings = path.join(workspace, FINDINGS_PATH);
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const destFindings = path.join(repoDir, FINDINGS_PATH);
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fs.mkdirSync(path.dirname(destFindings), { recursive: true });
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fs.copyFileSync(srcFindings, destFindings);
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const srcFindings = path.join(workspace, FINDINGS_PATH);
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const destFindings = path.join(repoDir, FINDINGS_PATH);
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fs.mkdirSync(path.dirname(destFindings), { recursive: true });
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fs.copyFileSync(srcFindings, destFindings);
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run(['add', FINDINGS_PATH], repoDir);
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run(['add', FINDINGS_PATH], repoDir);
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const status = run(['status', '--porcelain'], repoDir);
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if (!status) {
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console.log(' findings.json 無變更，跳過 commit');
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return;
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}
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const status = run(['status', '--porcelain'], repoDir);
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if (!status) {
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console.log(' findings.json 無變更，跳過 commit');
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return;
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}
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const out = run(['commit', '-m', 'chore: update ai-review findings [skip ci]'], repoDir);
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const commitHash = out.match(/\[.+ ([a-f0-9]+)\]/)?.[1] || 'unknown';
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run(['push', remoteUrl, PR_HEAD_BRANCH], repoDir, credEnv);
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console.log(` ✅ persisted findings commit=${commitHash} push=${PR_HEAD_BRANCH}`);
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const out = run(['commit', '-m', 'chore: update ai-review findings [skip ci]'], repoDir);
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const commitHash = out.match(/\[.+ ([a-f0-9]+)\]/)?.[1] || 'unknown';
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run(['push', remoteUrl, PR_HEAD_BRANCH], repoDir, credEnv);
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console.log(` ✅ persisted findings commit=${commitHash} push=${PR_HEAD_BRANCH}`);
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});
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} catch (e) {
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console.log(` ⚠️ Runner failed: commit/push 失敗: ${e.message}`);
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} finally {
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try { fs.unlinkSync(askpassScript); } catch {}
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}
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}
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+2
-3
@@ -12,9 +12,8 @@ export async function getPRDiff() {
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}
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function filterDiff(diff, excludePrefixes) {
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const blocks = diff.split(/(?=^diff --git )/m);
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return blocks
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.filter(block => !excludePrefixes.some(prefix => block.match(new RegExp(`^diff --git a/${prefix.replace(/\//g, '\\/')}`))))
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return diff.split(/(?=^diff --git )/m)
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.filter(block => !excludePrefixes.some(p => block.startsWith(`diff --git a/${p}`)))
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.join('');
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}
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+3
-4
@@ -29,12 +29,11 @@ export async function chat(systemPrompt, userContent) {
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}
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export async function chatJSON(systemPrompt, userContent) {
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const text = await chat(systemPrompt, userContent);
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try {
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let text = await chat(systemPrompt, userContent);
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text = text.trim().replace(/^```[^\n]*\n?/, '').replace(/```$/, '').trim();
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return JSON.parse(text);
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return JSON.parse(text.trim().replace(/^```[^\n]*\n?/, '').replace(/```$/, '').trim());
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} catch (e) {
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console.log(` [LLM] 解析失敗: ${e.message}`);
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console.log(` [LLM] JSON 解析失敗: ${e.message}`);
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return [];
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}
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}
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@@ -13,7 +13,6 @@ async function main() {
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console.log(` repo=${GITEA_REPOSITORY} PR=#${PR_NUMBER}`);
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console.log(` ${PR_HEAD_BRANCH} -> ${PR_BASE_BRANCH}`);
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// 偵測 LLM
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const { provider, baseURL, model } = getLLMConfig();
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if (!provider) {
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console.error('❌ 未設定任何 LLM API Key，請檢查 action inputs');
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@@ -21,11 +20,9 @@ async function main() {
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}
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console.log(` LLM: provider=${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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let diff;
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try {
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diff = await getPRDiff();
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@@ -40,7 +37,6 @@ async function main() {
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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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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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@@ -48,7 +44,6 @@ async function main() {
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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(' Step1 完成');
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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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@@ -65,7 +60,6 @@ async function main() {
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// Step3: 讀取舊 findings，合併去重（含 AI 語意去重）
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console.log('\n🔀 Step3: Findings 合併');
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// Clone repo 以讀取舊 findings 與排除清單
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let repoDir;
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try {
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repoDir = cloneRepo(WORKSPACE);
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@@ -91,7 +85,6 @@ async function main() {
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// Step5: 寫入 findings.json，依序發布 comment
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console.log('\n📝 Step5: Findings 寫入與 Comment 發布');
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saveFindings(WORKSPACE, filtered);
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try {
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await postOldFindingsComment(filtered);
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await postNewNonCriticalComment(filtered);
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@@ -114,7 +107,6 @@ async function main() {
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process.exit(1);
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}
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console.log(' ✅ 無嚴重問題');
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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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