Initial commit: HR Position System
- Database schema with MySQL support - LLM API integration (Gemini 2.5 Flash, DeepSeek, OpenAI) - Error handling with copyable error messages - CORS fix for API calls - Complete setup documentation 🤖 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
286
start_server.py
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286
start_server.py
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"""
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啟動 Flask 服務器（解決 Windows 編碼問題）
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"""
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import sys
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import os
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# 設置 UTF-8 編碼
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if sys.platform == 'win32':
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import codecs
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sys.stdout = codecs.getwriter('utf-8')(sys.stdout.buffer, 'strict')
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sys.stderr = codecs.getwriter('utf-8')(sys.stderr.buffer, 'strict')
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# 導入並啟動 app
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from flask import Flask, request, jsonify, send_from_directory
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from flask_cors import CORS
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from datetime import datetime
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import json
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# Import LLM configuration
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try:
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from llm_config import LLMConfig
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llm_config = LLMConfig()
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LLM_ENABLED = True
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except ImportError:
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print("Warning: llm_config not found. LLM features will be disabled.")
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LLM_ENABLED = False
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app = Flask(__name__, static_folder='.')
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CORS(app)
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# 模擬資料庫
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positions_db = {}
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jobs_db = {}
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# 預設崗位資料
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default_positions = {
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"MGR-001": {
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"id": "MGR-001",
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"basicInfo": {
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"positionCode": "MGR-001",
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"positionName": "管理職-資深班長",
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"positionCategory": "02",
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"positionCategoryName": "管理職",
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"positionNature": "FT",
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"positionNatureName": "全職",
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"headcount": "5",
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"positionLevel": "L3",
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"effectiveDate": "2001-01-01",
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"positionDesc": "負責生產線的日常管理與人員調度",
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"positionRemark": ""
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},
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"recruitInfo": {
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"minEducation": "JC",
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"requiredGender": "",
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"salaryRange": "C",
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"workExperience": "3",
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"minAge": "25",
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"maxAge": "45",
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"jobType": "FT",
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"recruitPosition": "MGR",
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"jobTitle": "資深班長",
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"jobDesc": "",
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"positionReq": "",
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"titleReq": "",
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"majorReq": "",
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"skillReq": "",
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"langReq": "",
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"otherReq": "",
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"superiorPosition": "",
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"recruitRemark": ""
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},
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"createdAt": "2024-01-01T00:00:00",
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"updatedAt": "2024-01-01T00:00:00"
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}
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}
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positions_db.update(default_positions)
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# 預設職務資料
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default_jobs = {
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"VP-001": {
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"id": "VP-001",
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"jobCategoryCode": "MGR",
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"jobCategoryName": "管理職",
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"jobCode": "VP-001",
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"jobName": "副總",
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"jobNameEn": "Vice President",
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"jobEffectiveDate": "2001-01-01",
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"jobHeadcount": 2,
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"jobSortOrder": 10,
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"jobRemark": "",
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"jobLevel": "*保密*",
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"hasAttendanceBonus": False,
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"hasHousingAllowance": True,
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"createdAt": "2024-01-01T00:00:00",
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"updatedAt": "2024-01-01T00:00:00"
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}
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}
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jobs_db.update(default_jobs)
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# ==================== 靜態頁面 ====================
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@app.route('/')
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def index():
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return send_from_directory('.', 'index.html')
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@app.route('/api-test')
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def api_test_page():
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return send_from_directory('.', 'api_test.html')
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# ==================== 崗位資料 API ====================
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@app.route('/api/positions', methods=['GET'])
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def get_positions():
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page = request.args.get('page', 1, type=int)
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size = request.args.get('size', 20, type=int)
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search = request.args.get('search', '', type=str)
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filtered = list(positions_db.values())
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if search:
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filtered = [p for p in filtered
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if search.lower() in p['basicInfo'].get('positionCode', '').lower()
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or search.lower() in p['basicInfo'].get('positionName', '').lower()]
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total = len(filtered)
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start = (page - 1) * size
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end = start + size
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paginated = filtered[start:end]
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return jsonify({
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'success': True,
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'data': paginated,
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'pagination': {
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'page': page,
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'size': size,
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'total': total,
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'totalPages': (total + size - 1) // size
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}
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})
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@app.route('/api/positions/<position_id>', methods=['GET'])
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def get_position(position_id):
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if position_id not in positions_db:
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return jsonify({'success': False, 'error': '找不到該崗位資料'}), 404
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return jsonify({'success': True, 'data': positions_db[position_id]})
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@app.route('/api/positions', methods=['POST'])
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def create_position():
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try:
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data = request.get_json()
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if not data:
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return jsonify({'success': False, 'error': '請提供有效的 JSON 資料'}), 400
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basic_info = data.get('basicInfo', {})
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if not basic_info.get('positionCode'):
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return jsonify({'success': False, 'error': '崗位編號為必填欄位'}), 400
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if not basic_info.get('positionName'):
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return jsonify({'success': False, 'error': '崗位名稱為必填欄位'}), 400
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position_code = basic_info['positionCode']
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if position_code in positions_db:
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return jsonify({'success': False, 'error': f'崗位編號 {position_code} 已存在'}), 409
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now = datetime.now().isoformat()
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new_position = {
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'id': position_code,
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'basicInfo': basic_info,
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'recruitInfo': data.get('recruitInfo', {}),
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'createdAt': now,
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'updatedAt': now
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}
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positions_db[position_code] = new_position
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return jsonify({'success': True, 'message': '崗位資料新增成功', 'data': new_position}), 201
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except Exception as e:
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return jsonify({'success': False, 'error': f'新增失敗: {str(e)}'}), 500
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# ==================== LLM API ====================
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@app.route('/api/llm/config', methods=['GET'])
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def get_llm_config():
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if not LLM_ENABLED:
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return jsonify({'success': False, 'error': 'LLM 功能未啟用'}), 503
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try:
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config_data = {}
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for api_name, api_config in llm_config.apis.items():
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config_data[api_name] = {
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'name': api_config['name'],
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'enabled': api_config['enabled'],
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'endpoint': api_config['endpoint'],
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'api_key': api_config['api_key'][:8] + '...' if api_config['api_key'] else ''
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}
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return jsonify(config_data)
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except Exception as e:
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return jsonify({'success': False, 'error': f'獲取配置失敗: {str(e)}'}), 500
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@app.route('/api/llm/test/<api_name>', methods=['GET'])
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def test_llm_api(api_name):
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if not LLM_ENABLED:
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return jsonify({'success': False, 'message': 'LLM 功能未啟用'}), 503
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try:
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if api_name not in llm_config.apis:
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return jsonify({'success': False, 'message': f'不支援的 API: {api_name}'}), 400
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if api_name == 'gemini':
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success, message = llm_config.test_gemini_connection()
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elif api_name == 'deepseek':
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success, message = llm_config.test_deepseek_connection()
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elif api_name == 'openai':
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success, message = llm_config.test_openai_connection()
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else:
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return jsonify({'success': False, 'message': f'未實作的 API: {api_name}'}), 400
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return jsonify({'success': success, 'message': message})
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except Exception as e:
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return jsonify({'success': False, 'message': f'測試失敗: {str(e)}'}), 500
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@app.route('/api/llm/generate', methods=['POST'])
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def generate_llm_text():
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if not LLM_ENABLED:
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return jsonify({'success': False, 'error': 'LLM 功能未啟用'}), 503
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try:
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data = request.get_json()
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if not data:
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return jsonify({'success': False, 'error': '請提供有效的 JSON 資料'}), 400
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api_name = data.get('api', 'gemini')
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prompt = data.get('prompt', '')
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max_tokens = data.get('max_tokens', 2000)
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if not prompt:
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return jsonify({'success': False, 'error': '請提供提示詞'}), 400
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if api_name == 'gemini':
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success, result = llm_config.generate_text_gemini(prompt, max_tokens)
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elif api_name == 'deepseek':
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success, result = llm_config.generate_text_deepseek(prompt, max_tokens)
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elif api_name == 'openai':
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model = data.get('model', 'gpt-3.5-turbo')
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success, result = llm_config.generate_text_openai(prompt, model, max_tokens)
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else:
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return jsonify({'success': False, 'error': f'不支援的 API: {api_name}'}), 400
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if success:
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return jsonify({'success': True, 'text': result})
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else:
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return jsonify({'success': False, 'error': result}), 500
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except Exception as e:
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return jsonify({'success': False, 'error': f'生成失敗: {str(e)}'}), 500
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# ==================== 錯誤處理 ====================
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@app.errorhandler(404)
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def not_found(e):
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return jsonify({'success': False, 'error': '找不到請求的資源'}), 404
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@app.errorhandler(500)
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def server_error(e):
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return jsonify({'success': False, 'error': '伺服器內部錯誤'}), 500
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# ==================== 主程式 ====================
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if __name__ == '__main__':
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print("=" * 60)
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print("HR Position System - Flask Backend")
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print("=" * 60)
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print("\nServer starting...")
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print("URL: http://localhost:5000")
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print()
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if LLM_ENABLED:
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print("[OK] LLM features enabled")
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enabled_apis = llm_config.get_enabled_apis()
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if enabled_apis:
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print(f"Configured APIs: {', '.join(enabled_apis)}")
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else:
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print("Warning: No LLM API Keys configured")
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else:
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print("[!] LLM features disabled (llm_config.py not found)")
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print("\nPress Ctrl+C to stop")
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print("=" * 60)
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print()
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app.run(host='0.0.0.0', port=5000, debug=True)
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