fix: update AI Code Review step to use OpenAI API instead of Gemini

Co-authored-by: Copilot <copilot@github.com>

.gitea/ai-review/exclusions.json

@@ -7,5 +7,10 @@
   {
     "location": "app/git.js",
     "suggestion": "GITEA_TOKEN 直接嵌入 URL 中"
+  },
+  {
+    "role": "Rex",
+    "location": "README.md",
+    "suggestion": "contents: write、pull-requests: write、issues: write 為此 Action 正常運作所必要的權限"
   }
 ]

.gitea/workflows/review.yaml

@@ -34,7 +34,8 @@ jobs:
       uses: https://gitea.jsc.idv.tw/jiantw83/code-review@v${{ needs.version.outputs.version }}
       with:
         OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-        OPENAI_BASE_URL: https://openrouter.ai/api/v1
+        OPENAI_BASE_URL: https://api.openai.com/v1
+        OPENAI_MODEL: ${{ vars.OPENAI_MODEL }}
     permissions:
       contents: write
       pull-requests: write

README.md

@@ -6,8 +6,8 @@
 
 1. 服務名稱、模型名稱、角色資訊(個性、符合個性的英文名稱、工作內容)，Comment 到 Push Request
 2. 每個角色個別分析 Git Diff 的內容產生新問題表格(問題等級、角色名稱、問題位置或行數、修改建議)
-3. 讀取所有未解決的舊問題(問題檔案存在於使用此 Action 的專案固定位置)加上新問題後，去除重複產生本次 Push Request 的問題表格(PR問題表格)覆蓋問題檔案
+3. 讀取所有未解決的舊問題(問題檔案 `.gitea/ai-review/findings.json` 存在於使用此 Action 的專案固定位置)加上新問題後，去除重複產生本次 Push Request 的問題表格(PR問題表格)覆蓋問題檔案
-4. 讀取排除問題檔案，用來過濾PR問題表格中不需要處理的問題
+4. 讀取排除問題檔案(`.gitea/ai-review/exclusions.json` 存在於使用此 Action 的專案固定位置)，用來過濾PR問題表格中不需要處理的問題
 5. 從PR問題表格中取出所有舊問題，依照等級排序後 Comment 到 Push Request
 6. 從PR問題表格中取出所有新問題，排除嚴重等級的問題後 Comment 到 Push Request
 7. 從PR問題表格中取出所有新問題，將每個嚴重等級的問題 Comment 到 Push Request
@@ -28,7 +28,7 @@
 2. 在 `.gitea/workflows` 資料夾中建立 `ai-review.yaml'
 3. 在 `ai-review.yaml` 中填入以下內容(選擇一個使用)：
 
-### 1. OpenAI（OpenRouter）
+### 1. OpenAI
 ```yaml
 name: AI
 on:
@@ -42,17 +42,39 @@ jobs:
     - name: AI Code Review
       uses: https://gitea.jsc.idv.tw/jiantw83/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
       with:
-        # Github (h3285@evertrust.com.tw)
-        # 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
         OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-        OPENAI_BASE_URL: https://openrouter.ai/api/v1
+        OPENAI_BASE_URL: https://api.openai.com/v1
+        OPENAI_MODEL: ${{ vars.OPENAI_MODEL }}
     permissions:
       contents: write
       pull-requests: write
       issues: write
 ```
 
-### 2. Anthropic Claude
+### 2. OpenRouter
+```yaml
+name: AI
+on:
+  pull_request:
+    types: [opened, synchronize]
+jobs:
+  code-review:
+    name: 'Code Review'
+    runs-on: ubuntu
+    steps:
+    - name: AI Code Review
+      uses: https://gitea.jsc.idv.tw/jiantw83/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
+      with:
+        OPENAI_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}  # OpenRouter 使用 OpenAI 相容介面，以 OPENAI_API_KEY 傳入
+        OPENAI_BASE_URL: https://openrouter.ai/api/v1
+        OPENAI_MODEL: ${{ vars.OPENROUTER_MODEL }}
+    permissions:
+      contents: write
+      pull-requests: write
+      issues: write
+```
+
+### 3. Anthropic Claude
 ```yaml
 name: AI
 on:
@@ -74,7 +96,7 @@ jobs:
       issues: write
 ```
 
-### 3. Google Gemini
+### 4. Google Gemini
 ```yaml
 name: AI
 on:
@@ -90,13 +112,14 @@ jobs:
       with:
         GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
         GEMINI_BASE_URL: https://generativelanguage.googleapis.com/v1beta
+        GEMINI_MODEL: ${{ vars.GEMINI_MODEL }}
     permissions:
       contents: write
       pull-requests: write
       issues: write
 ```
 
-### 4. Amazon Q
+### 5. Amazon Q
 ```yaml
 name: AI
 on:
@@ -118,28 +141,6 @@ jobs:
       issues: write
 ```
 
-### 5. SonarQube
-```yaml
-name: AI
-on:
-  pull_request:
-    types: [opened, synchronize]
-jobs:
-  code-review:
-    name: 'Code Review'
-    runs-on: ubuntu
-    steps:
-    - name: AI Code Review
-      uses: https://gitea.jsc.idv.tw/jiantw83/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
-      with:
-        SONARQUBE_TOKEN: ${{ secrets.SONARQUBE_TOKEN }}
-        SONARQUBE_URL: https://sonarqube.example.com
-    permissions:
-      contents: write
-      pull-requests: write
-      issues: write
-```
-
 ### - Ollama
 
 ```yaml
@@ -155,7 +156,7 @@ jobs:
     - name: AI Code Review
         uses: https://gitea.jsc.idv.tw/jiantw83/code-review@${{ vars.ACTION_CODE_REVIEW_VERSION }}
         with:
-          OLLAMA_BASE_URL: ${{ vars.OLLAMA_BASE_URL }}
+          OLLAMA_BASE_URL: https://ollama.jsc.idv.me/v1
           OLLAMA_MODEL: ${{ vars.OLLAMA_MODEL }}
     permissions:
       contents: write

TODO.md

@@ -16,13 +16,13 @@
 - 完成
 
 ## 階段四：AI 排除問題過濾
-- 目標：讀取排除問題檔案（exclusions.json）進行規則過濾，並呼叫 AI 判斷剩餘問題是否為誤報或不適用，兩層過濾後產生最終問題清單。
+- 目標：讀取排除問題檔案（`.gitea/ai-review/exclusions.json`）進行規則過濾，並呼叫 AI 判斷剩餘問題是否為誤報或不適用，兩層過濾後產生最終問題清單。
 - 驗收：log 中能看到排除問題檔案讀取成功或不存在的訊息、規則過濾數量變化，以及「AI 誤報過濾: N -> M 筆」或降級訊息。
 - 完成
 
 ## 階段五：findings 寫入與 comment 發布
-- 目標：findings.jsonl 正確寫入，comment 發布順序正確（舊問題→非嚴重→嚴重），每步有 log。
+- 目標：`.gitea/ai-review/findings.json` 正確寫入，comment 發布順序正確（舊問題→非嚴重→嚴重），每步有 log。
-- 驗收：log 中能看到 findings.json 寫入、comment sync 的詳細訊息與順序。
+- 驗收：log 中能看到 `.gitea/ai-review/findings.json` 寫入、comment sync 的詳細訊息與順序。
 - 完成
 
 ## 階段六：記憶區 commit/push 與錯誤處理

action.yaml

@@ -72,53 +72,7 @@ inputs:
     description: 'Amazon Q Base URL'
     required: false
 
-  # SonarQube
-  SONARQUBE_TOKEN:
-    description: 'SonarQube Token'
-    required: false
-  SONARQUBE_URL:
-    description: 'SonarQube URL'
-    required: false
 
-  # Kilo Code
-  KILO_API_KEY:
-    description: 'Kilo Code API Key'
-    required: false
-  KILO_BASE_URL:
-    description: 'Kilo Code Base URL'
-    required: false
-
-  # Roo Code
-  ROO_API_KEY:
-    description: 'Roo Code API Key'
-    required: false
-  ROO_BASE_URL:
-    description: 'Roo Code Base URL'
-    required: false
-
-  # Cline
-  CLINE_API_KEY:
-    description: 'Cline API Key'
-    required: false
-  CLINE_BASE_URL:
-    description: 'Cline Base URL'
-    required: false
-
-  # Continue
-  CONTINUE_API_KEY:
-    description: 'Continue API Key'
-    required: false
-  CONTINUE_BASE_URL:
-    description: 'Continue Base URL'
-    required: false
-
-  # Kade
-  KADE_API_KEY:
-    description: 'Kade API Key'
-    required: false
-  KADE_BASE_URL:
-    description: 'Kade Base URL'
-    required: false
 
 runs:
   using: 'docker'
@@ -145,15 +99,3 @@ runs:
     OLLAMA_MODEL: ${{ inputs.OLLAMA_MODEL }}
     AMAZONQ_API_KEY: ${{ inputs.AMAZONQ_API_KEY }}
     AMAZONQ_BASE_URL: ${{ inputs.AMAZONQ_BASE_URL }}
-    SONARQUBE_TOKEN: ${{ inputs.SONARQUBE_TOKEN }}
-    SONARQUBE_URL: ${{ inputs.SONARQUBE_URL }}
-    KILO_API_KEY: ${{ inputs.KILO_API_KEY }}
-    KILO_BASE_URL: ${{ inputs.KILO_BASE_URL }}
-    ROO_API_KEY: ${{ inputs.ROO_API_KEY }}
-    ROO_BASE_URL: ${{ inputs.ROO_BASE_URL }}
-    CLINE_API_KEY: ${{ inputs.CLINE_API_KEY }}
-    CLINE_BASE_URL: ${{ inputs.CLINE_BASE_URL }}
-    CONTINUE_API_KEY: ${{ inputs.CONTINUE_API_KEY }}
-    CONTINUE_BASE_URL: ${{ inputs.CONTINUE_BASE_URL }}
-    KADE_API_KEY: ${{ inputs.KADE_API_KEY }}
-    KADE_BASE_URL: ${{ inputs.KADE_BASE_URL }}

app/config.js

@@ -12,14 +12,9 @@ export function getLLMConfig() {
   const checks = [
     ['openai',   process.env.OPENAI_API_KEY,   process.env.OPENAI_BASE_URL || 'https://api.openai.com/v1',   process.env.OPENAI_MODEL || 'gpt-4o-mini'],
     ['claude',   process.env.CLAUDE_API_KEY,   process.env.CLAUDE_BASE_URL || 'https://api.anthropic.com/v1', process.env.CLAUDE_MODEL || 'claude-3-haiku-20240307'],
-    ['gemini',   process.env.GEMINI_API_KEY,   process.env.GEMINI_BASE_URL || 'https://generativelanguage.googleapis.com/v1beta', process.env.GEMINI_MODEL || 'gemini-1.5-flash'],
+    ['gemini',   process.env.GEMINI_API_KEY,   process.env.GEMINI_BASE_URL || 'https://generativelanguage.googleapis.com/v1beta', process.env.GEMINI_MODEL || 'gemini-2.5-flash'],
     ['ollama',   'ollama',                      process.env.OLLAMA_BASE_URL,  process.env.OLLAMA_MODEL],
-    ['amazonq',  process.env.AMAZONQ_API_KEY,  process.env.AMAZONQ_BASE_URL || 'https://q.api.aws', process.env.OPENAI_MODEL || 'amazon-q'],
+    ['amazonq',  process.env.AMAZONQ_API_KEY,  process.env.AMAZONQ_BASE_URL  || 'https://q.api.aws',              process.env.AMAZONQ_MODEL  || 'amazon-q'],
-    ['kilo',     process.env.KILO_API_KEY,     process.env.KILO_BASE_URL || 'https://api.kilocode.com/v1', process.env.OPENAI_MODEL || 'kilo-default'],
-    ['roo',      process.env.ROO_API_KEY,      process.env.ROO_BASE_URL || 'https://api.roocode.com/v1', process.env.OPENAI_MODEL || 'roo-default'],
-    ['cline',    process.env.CLINE_API_KEY,    process.env.CLINE_BASE_URL || 'https://api.cline.dev/v1', process.env.OPENAI_MODEL || 'cline-default'],
-    ['continue', process.env.CONTINUE_API_KEY, process.env.CONTINUE_BASE_URL || 'https://api.continue.dev/v1', process.env.OPENAI_MODEL || 'continue-default'],
-    ['kade',     process.env.KADE_API_KEY,     process.env.KADE_BASE_URL || 'https://api.kade.dev/v1', process.env.OPENAI_MODEL || 'kade-default'],
   ];
   for (const [provider, key, baseURL, model] of checks) {
     if (key && baseURL) return { provider, apiKey: key, baseURL, model };

app/config.test.js

@@ -0,0 +1,101 @@
+import { describe, it, beforeEach, afterEach } from 'node:test';
+import assert from 'node:assert/strict';
+import { getLLMConfig } from './config.js';
+
+const ENV_KEYS = [
+  'OPENAI_API_KEY', 'OPENAI_BASE_URL', 'OPENAI_MODEL',
+  'CLAUDE_API_KEY', 'CLAUDE_BASE_URL', 'CLAUDE_MODEL',
+  'GEMINI_API_KEY', 'GEMINI_BASE_URL', 'GEMINI_MODEL',
+  'OLLAMA_BASE_URL', 'OLLAMA_MODEL',
+  'AMAZONQ_API_KEY', 'AMAZONQ_BASE_URL', 'AMAZONQ_MODEL',
+];
+
+let saved = {};
+beforeEach(() => {
+  saved = {};
+  for (const k of ENV_KEYS) { saved[k] = process.env[k]; delete process.env[k]; }
+});
+afterEach(() => {
+  for (const k of ENV_KEYS) {
+    if (saved[k] === undefined) delete process.env[k];
+    else process.env[k] = saved[k];
+  }
+});
+
+describe('getLLMConfig', () => {
+  it('returns null provider when no env vars set', () => {
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, null);
+    assert.equal(cfg.apiKey, null);
+  });
+
+  it('detects openai with defaults', () => {
+    process.env.OPENAI_API_KEY = 'sk-test';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'openai');
+    assert.equal(cfg.apiKey, 'sk-test');
+    assert.equal(cfg.baseURL, 'https://api.openai.com/v1');
+    assert.equal(cfg.model, 'gpt-4o-mini');
+  });
+
+  it('detects openai with custom base url and model', () => {
+    process.env.OPENAI_API_KEY = 'sk-test';
+    process.env.OPENAI_BASE_URL = 'https://openrouter.ai/api/v1';
+    process.env.OPENAI_MODEL = 'gpt-4o';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'openai');
+    assert.equal(cfg.baseURL, 'https://openrouter.ai/api/v1');
+    assert.equal(cfg.model, 'gpt-4o');
+  });
+
+  it('detects gemini with defaults', () => {
+    process.env.GEMINI_API_KEY = 'gemini-key';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'gemini');
+    assert.equal(cfg.model, 'gemini-2.5-flash');
+  });
+
+  it('detects gemini with custom model', () => {
+    process.env.GEMINI_API_KEY = 'gemini-key';
+    process.env.GEMINI_MODEL = 'gemini-2.0-flash';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.model, 'gemini-2.0-flash');
+  });
+
+  it('detects claude with defaults', () => {
+    process.env.CLAUDE_API_KEY = 'claude-key';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'claude');
+    assert.equal(cfg.model, 'claude-3-haiku-20240307');
+  });
+
+  it('detects amazonq with its own model env', () => {
+    process.env.AMAZONQ_API_KEY = 'aq-key';
+    process.env.AMAZONQ_MODEL = 'my-amazon-model';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'amazonq');
+    assert.equal(cfg.model, 'my-amazon-model');
+  });
+
+  it('openai takes priority over gemini when both set', () => {
+    process.env.OPENAI_API_KEY = 'sk-test';
+    process.env.GEMINI_API_KEY = 'gemini-key';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'openai');
+  });
+
+  it('empty string api key is treated as not set', () => {
+    process.env.OPENAI_API_KEY = '';
+    process.env.GEMINI_API_KEY = 'gemini-key';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'gemini');
+  });
+
+  it('detects ollama without api key', () => {
+    process.env.OLLAMA_BASE_URL = 'http://localhost:11434';
+    process.env.OLLAMA_MODEL = 'llama3';
+    const cfg = getLLMConfig();
+    assert.equal(cfg.provider, 'ollama');
+    assert.equal(cfg.model, 'llama3');
+  });
+});

app/findings.js

@@ -149,11 +149,11 @@ export async function filterFalsePositivesWithAI(findings) {
 
   try {
     const result = await chatJSON(systemPrompt, userContent);
-    if (Array.isArray(result)) {
+    if (Array.isArray(result) && result.length > 0) {
       console.log(`  AI 誤報過濾: ${findings.length} -> ${result.length} 筆`);
       return result;
     }
-    throw new Error('AI 回傳非陣列');
+    throw new Error('AI 回傳空陣列或非陣列');
   } catch (e) {
     const status = e.response?.status;
     if (status === 402 || status === 429) {

app/roles.js

@@ -12,9 +12,13 @@ export function loadRoles() {
 }
 
 export function getRoleIntro(roles) {
-  const lines = ['## 🤖 AI Code Review 團隊', ''];
+  const lines = [
+    '## 🤖 AI Code Review 團隊', '',
+    '| 👤 名稱 | 🎯 職責 | 🧠 個性 |',
+    '|--------|--------|--------|',
+  ];
   for (const r of roles) {
-    lines.push(`- **${r.name}** (${r.role})：${r.personality}`);
+    lines.push(`| **${r.name}** | ${r.role} | ${r.personality} |`);
   }
   return lines.join('\n');
 }