Compare commits
27 Commits
| Author | SHA1 | Date | |
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| 8a8612b46d | |||
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| cf8dd629b2 |
@@ -6,11 +6,92 @@
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},
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{
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"location": "app/git.js",
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"suggestion": "GITEA_TOKEN 直接嵌入 URL 中"
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"suggestion": "GITEA_TOKEN 直接嵌入 URL 中,建議改以環境變數或 Gitea Secrets 注入"
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},
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{
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"role": "Rex",
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"location": "README.md",
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"suggestion": "contents: write、pull-requests: write、issues: write 為此 Action 正常運作所必要的權限"
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"suggestion": "contents: write、pull-requests: write、issues: write 為此 Action 正常運作所必要的權限,無法縮減"
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},
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{
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"location": "app/config.js",
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"suggestion": "getLLMConfig 在找不到任何符合條件的 provider 時已有預設回傳值 { provider: null, apiKey: null, baseURL: null, model: null },非誤報"
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},
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{
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"location": ".gitea/ai-review/exclusions.json",
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"suggestion": "exclusions.json 是排除規則檔,內容為問題描述字串,不是實際程式碼或 token,role 欄位為有效欄位"
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},
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{
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"location": "app/findings.js",
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"suggestion": "filterFalsePositivesWithAI 拋出的 Error 會被 catch 攔截並降級回傳原始 findings,不會中斷流程"
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},
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{
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"role": "Rex",
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"location": ".gitea/workflows/review.yaml",
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"suggestion": "contents: write、pull-requests: write、issues: write 為此 Action 正常運作所必要的權限,無法縮減"
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},
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{
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"role": "Rex",
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"location": ".gitea/workflows/review.yaml",
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"suggestion": "OPENAI_API_KEY 參數傳入的是 OPENROUTER_API_KEY secret,為 OpenRouter 使用 OpenAI 相容介面的正確做法"
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},
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{
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"role": "Aria",
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"location": "README.md",
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"suggestion": "章節編號連續且正確,無需調整"
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},
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{
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"role": "Maya",
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"location": ".gitea/workflows/review.yaml",
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"suggestion": "action.yaml 定義的參數名稱為 GEMINI_API_KEY、GEMINI_BASE_URL、GEMINI_MODEL,與 review.yaml 完全一致,無不匹配問題"
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},
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{
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"role": "Aria",
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"location": ".gitea/workflows/review.yaml",
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"suggestion": "review.yaml 已改用 Gemini,不再有 OPENAI_API_KEY 行,註解空格問題不存在"
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},
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{
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"role": "Aria",
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"location": "app/config.test.js",
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"suggestion": "檔案結尾已有換行符號,import 行長度合理,無需修改"
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},
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{
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"role": "Aria",
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"location": "action.yaml",
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"suggestion": "action.yaml 已整理,多餘空行已移除,結構整潔"
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},
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{
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"role": "Maya",
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"location": "app/",
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"suggestion": "LLM 整合測試需要真實 API key 與網路,不適合加入單元測試。llm.js 使用統一 OpenAI 相容介面,Gemini 透過相同介面呼叫,無特殊格式差異,現有測試已涵蓋 config/findings/git 邏輯"
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},
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{
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"role": "Rex",
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"location": "app/",
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"suggestion": "LLM 整合測試需要真實 API key 與網路,不適合加入單元測試。llm.js 使用統一 OpenAI 相容介面,Gemini 透過相同介面呼叫,無特殊格式差異"
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},
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{
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"role": "Rex",
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"location": "app/config.test.js",
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"suggestion": "import 語句長度合理,無需拆分為多行"
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},
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{
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"role": "Rex",
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"location": ".gitea/ai-review/findings.json",
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"suggestion": "findings.json 重複問題由 AI 去重與排除機制處理,不是程式碼問題"
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},
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{
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"role": "Rex",
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"location": "app/comments.js",
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"suggestion": "JSON 結尾換行符號為標準做法,不影響任何 JSON 解析器,無相容性問題"
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},
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{
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"location": ".gitea/ai-review/findings.json",
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"suggestion": "findings.json 是自動產生的問題記錄檔,不應對其內容提出審查問題"
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},
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{
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"role": "Rex",
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"location": ".gitea/workflows/review.yaml",
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"suggestion": "切換 LLM 服務提供商的維護建議屬過度謹慎,不是實際程式碼問題"
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}
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]
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@@ -1 +1,2 @@
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[]
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[
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]
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@@ -33,7 +33,7 @@ jobs:
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- name: AI Code Review
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uses: https://gitea.jsc.idv.tw/jiantw83/code-review@v${{ needs.version.outputs.version }}
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with:
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GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
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GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY_1 }}
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GEMINI_BASE_URL: https://generativelanguage.googleapis.com/v1beta
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GEMINI_MODEL: ${{ vars.GEMINI_MODEL }}
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permissions:
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@@ -72,8 +72,6 @@ inputs:
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description: 'Amazon Q Base URL'
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required: false
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runs:
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using: 'docker'
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image: 'Dockerfile'
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+1
-1
@@ -21,7 +21,7 @@ function buildTable(findings) {
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export function saveFindings(workspace, findings) {
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const fullPath = path.join(workspace, FINDINGS_PATH);
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fs.mkdirSync(path.dirname(fullPath), { recursive: true });
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fs.writeFileSync(fullPath, JSON.stringify(findings, null, 2), 'utf8');
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fs.writeFileSync(fullPath, JSON.stringify(findings, null, 2) + '\n', 'utf8');
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console.log(` ✅ findings 寫入: ${fullPath} (${findings.length} 筆)`);
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}
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+15
-8
@@ -117,33 +117,40 @@ export function loadExclusions(workspace) {
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/**
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* 套用排除規則,過濾掉符合排除條件的 findings
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* 排除條件:role/location/suggestion 皆符合(省略的欄位視為萬用)
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* location 只比對檔案路徑(忽略行數),suggestion 省略時視為萬用
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*/
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export function applyExclusions(findings, exclusions) {
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if (exclusions.length === 0) return findings;
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const before = findings.length;
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const filtered = findings.filter(f => !exclusions.some(ex =>
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(!ex.role || ex.role === f.role) &&
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(!ex.location || String(f.location).includes(ex.location)) &&
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(!ex.suggestion || String(f.suggestion).includes(String(ex.suggestion).slice(0, 20)))
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));
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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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}));
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console.log(` 排除過濾: ${before} -> ${filtered.length} 筆(排除 ${before - filtered.length} 筆)`);
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return filtered;
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}
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/**
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* 呼叫 AI 判斷哪些問題是誤報或不需處理,回傳需保留的 findings
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* exclusions 為已知誤報清單,供 AI 參考判斷
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* 失敗時降級回傳原始 findings
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*/
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export async function filterFalsePositivesWithAI(findings) {
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export async function filterFalsePositivesWithAI(findings, exclusions = []) {
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if (findings.length === 0) return findings;
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const exclusionHint = exclusions.length > 0
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? `\n\n以下是已知的誤報或不需處理的問題清單(供參考,相同檔案路徑且語意相近的問題應一併排除):\n${JSON.stringify(exclusions, null, 2)}`
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: '';
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const systemPrompt = `你是一位資深程式碼審查專家,負責判斷審查問題是否為誤報或不需處理。
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給你一份問題清單(JSON 陣列),每筆包含 level、role、location、suggestion。
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請移除以下類型的問題:
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1. 誤報:問題描述與實際程式碼不符(例如:程式碼已正確使用環境變數或 secrets,卻被標記為硬編碼敏感資料)
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2. 不適用:問題在此專案情境下不需處理(例如:CI/CD action 本來就需要透過環境變數傳遞 token)
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只回傳需要保留的問題 JSON 陣列,不要有其他文字。`;
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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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+1
-1
@@ -85,7 +85,7 @@ async function main() {
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console.log('\n🚫 Step4: AI 排除問題過濾');
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const exclusions = loadExclusions(repoDir || WORKSPACE);
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const ruleFiltered = applyExclusions(sorted, exclusions);
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const filtered = await filterFalsePositivesWithAI(ruleFiltered);
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const filtered = await filterFalsePositivesWithAI(ruleFiltered, exclusions);
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console.log(` Step4 完成: findings total=${filtered.length}`);
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// Step5: 寫入 findings.json,依序發布 comment
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Reference in New Issue
Block a user