Initial commit: 5 Why Root Cause Analyzer v1.0.0

Phase 0 & Phase 2 completed:
- Project structure setup
- Environment configuration (.env, .gitignore)
- Enterprise-grade dependencies (bcrypt, helmet, mysql2, etc.)
- Complete database schema with 8 tables + 2 views
- Database initialization scripts
- Comprehensive documentation

Database Tables:
- users (user management with 3-tier permissions)
- analyses (analysis records)
- analysis_perspectives (multi-angle analysis)
- analysis_whys (detailed 5 Why records)
- llm_configs (LLM API configurations)
- system_settings (system parameters)
- audit_logs (security audit trail)
- sessions (session management)

Tech Stack:
- Backend: Node.js + Express
- Frontend: React 18 + Vite + Tailwind CSS
- Database: MySQL 9.4.0
- AI: Ollama API (qwen2.5:3b)

Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>

server.js

@@ -0,0 +1,155 @@
+import express from 'express';
+import cors from 'cors';
+import axios from 'axios';
+
+const app = express();
+const PORT = 3001;
+
+// Ollama API 設定
+const OLLAMA_API_URL = "https://ollama_pjapi.theaken.com";
+const MODEL_NAME = "qwen2.5:3b"; // 使用 qwen2.5:3b 模型
+
+app.use(cors());
+app.use(express.json());
+
+// 健康檢查端點
+app.get('/health', (req, res) => {
+  res.json({ status: 'ok', message: 'Server is running' });
+});
+
+// 列出可用模型
+app.get('/api/models', async (req, res) => {
+  try {
+    const response = await axios.get(`${OLLAMA_API_URL}/v1/models`);
+    res.json(response.data);
+  } catch (error) {
+    console.error('Error fetching models:', error.message);
+    res.status(500).json({ error: 'Failed to fetch models', details: error.message });
+  }
+});
+
+// 5 Why 分析端點
+app.post('/api/analyze', async (req, res) => {
+  const { prompt } = req.body;
+
+  if (!prompt) {
+    return res.status(400).json({ error: 'Prompt is required' });
+  }
+
+  try {
+    console.log('Sending request to Ollama API...');
+
+    const chatRequest = {
+      model: MODEL_NAME,
+      messages: [
+        {
+          role: "system",
+          content: "You are an expert consultant specializing in 5 Why root cause analysis. You always respond in valid JSON format without any markdown code blocks."
+        },
+        {
+          role: "user",
+          content: prompt
+        }
+      ],
+      temperature: 0.7,
+      stream: false
+    };
+
+    const response = await axios.post(
+      `${OLLAMA_API_URL}/v1/chat/completions`,
+      chatRequest,
+      {
+        headers: {
+          'Content-Type': 'application/json'
+        },
+        timeout: 120000 // 120 seconds timeout
+      }
+    );
+
+    if (response.data && response.data.choices && response.data.choices[0]) {
+      const content = response.data.choices[0].message.content;
+      console.log('Received response from Ollama');
+      res.json({ content });
+    } else {
+      throw new Error('Invalid response format from Ollama API');
+    }
+
+  } catch (error) {
+    console.error('Error calling Ollama API:', error.message);
+    if (error.response) {
+      console.error('Response data:', error.response.data);
+      console.error('Response status:', error.response.status);
+    }
+    res.status(500).json({
+      error: 'Failed to analyze with Ollama API',
+      details: error.message,
+      responseData: error.response?.data
+    });
+  }
+});
+
+// 翻譯端點
+app.post('/api/translate', async (req, res) => {
+  const { prompt } = req.body;
+
+  if (!prompt) {
+    return res.status(400).json({ error: 'Prompt is required' });
+  }
+
+  try {
+    console.log('Translating with Ollama API...');
+
+    const chatRequest = {
+      model: MODEL_NAME,
+      messages: [
+        {
+          role: "system",
+          content: "You are a professional translator. You always respond in valid JSON format without any markdown code blocks."
+        },
+        {
+          role: "user",
+          content: prompt
+        }
+      ],
+      temperature: 0.3,
+      stream: false
+    };
+
+    const response = await axios.post(
+      `${OLLAMA_API_URL}/v1/chat/completions`,
+      chatRequest,
+      {
+        headers: {
+          'Content-Type': 'application/json'
+        },
+        timeout: 120000
+      }
+    );
+
+    if (response.data && response.data.choices && response.data.choices[0]) {
+      const content = response.data.choices[0].message.content;
+      console.log('Translation completed');
+      res.json({ content });
+    } else {
+      throw new Error('Invalid response format from Ollama API');
+    }
+
+  } catch (error) {
+    console.error('Error translating with Ollama API:', error.message);
+    if (error.response) {
+      console.error('Response data:', error.response.data);
+      console.error('Response status:', error.response.status);
+    }
+    res.status(500).json({
+      error: 'Failed to translate with Ollama API',
+      details: error.message,
+      responseData: error.response?.data
+    });
+  }
+});
+
+app.listen(PORT, () => {
+  console.log(`Server is running on http://localhost:${PORT}`);
+  console.log(`Ollama API URL: ${OLLAMA_API_URL}`);
+  console.log(`Using model: ${MODEL_NAME}`);
+});