DonaldFang 方士碩
a6af297623
變更內容： - 所有資料表加上 HR_position_ 前綴 - 整理完整欄位顯示名稱與 ID 對照表 - 模組化 JS 檔案 (admin.js, ai.js, csv.js 等) - 專案結構優化 (docs/, scripts/, tests/ 等) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
111 lines
3.8 KiB
Python
111 lines
3.8 KiB
Python
import re
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with open('index.html', 'r', encoding='utf-8') as f:
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content = f.read()
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# 備份
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with open('index.html.backup', 'w', encoding='utf-8') as f:
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f.write(content)
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print("Backup created: index.html.backup")
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# 舊代碼
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old = ''' async function callClaudeAPI(prompt) {
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try {
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const response = await fetch("https://api.anthropic.com/v1/messages", {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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},
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body: JSON.stringify({
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model: "claude-sonnet-4-20250514",
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max_tokens: 2000,
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messages: [
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{ role: "user", content: prompt }
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]
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})
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});
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if (!response.ok) {
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throw new Error(`API request failed: ${response.status}`);
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}
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const data = await response.json();
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let responseText = data.content[0].text;
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responseText = responseText.replace(/```json\\n?/g, "").replace(/```\\n?/g, "").trim();
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return JSON.parse(responseText);
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} catch (error) {
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console.error("Error calling Claude API:", error);
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throw error;
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}
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}'''
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# 新代碼
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new = ''' async function callClaudeAPI(prompt, api = 'gemini') {
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try {
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// 調用後端 Flask API，避免 CORS 錯誤
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const response = await fetch("/api/llm/generate", {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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},
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body: JSON.stringify({
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api: api,
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prompt: prompt,
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max_tokens: 2000
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})
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});
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if (!response.ok) {
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const errorData = await response.json();
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throw new Error(errorData.error || `API 請求失敗: ${response.status}`);
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}
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const data = await response.json();
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if (!data.success) {
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throw new Error(data.error || 'API 調用失敗');
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}
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let responseText = data.text;
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responseText = responseText.replace(/```json\\n?/g, "").replace(/```\\n?/g, "").trim();
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return JSON.parse(responseText);
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} catch (error) {
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console.error("Error calling LLM API:", error);
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alert(`AI 生成錯誤: ${error.message}\\n\\n請確保：\\n1. Flask 後端已啟動 (python app_updated.py)\\n2. 已在 .env 文件中配置 LLM API Key\\n3. 網路連線正常`);
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throw error;
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}
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}'''
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# 替換
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new_content = content.replace(old, new)
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if new_content == content:
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print("ERROR: Pattern not found, trying alternative method...")
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# 使用更簡單的替換
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new_content = content.replace(
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'const response = await fetch("https://api.anthropic.com/v1/messages", {',
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'const response = await fetch("/api/llm/generate", {'
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)
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new_content = new_content.replace(
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'async function callClaudeAPI(prompt) {',
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'async function callClaudeAPI(prompt, api = \'gemini\') {'
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)
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if new_content != content:
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print("SUCCESS: Applied simple replacement")
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else:
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print("ERROR: Could not fix the file")
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exit(1)
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else:
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print("SUCCESS: Pattern replaced")
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# 寫回
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with open('index.html', 'w', encoding='utf-8') as f:
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f.write(new_content)
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print("File updated: index.html")
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print("\nNext steps:")
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print("1. Start Flask backend: python app_updated.py")
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print("2. Reload browser page (Ctrl+F5)")
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print("3. Test AI generation")
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