xinli/rag-python/app.py

# -*- coding: utf-8 -*-
"""
RAG 知识库服务 - Flask API
支持与 jar 包同级目录部署
"""
import os
import sys
from flask import Flask, request, jsonify
from flask_cors import CORS
from config import HOST, PORT, KNOWLEDGE_DIR, BASE_DIR
from knowledge_service import knowledge_service
from file_watcher import FileWatcher

app = Flask(__name__)
CORS(app)  # 允许跨域请求

# 文件监控器
file_watcher = None

@app.route('/api/health', methods=['GET'])
def health_check():
    """健康检查"""
    return jsonify({
        'status': 'ok',
        'service': 'RAG Knowledge Service',
        'knowledge_dir': KNOWLEDGE_DIR,
        'base_dir': BASE_DIR
    })

@app.route('/api/documents', methods=['GET'])
def list_documents():
    """列出所有文档"""
    try:
        documents = knowledge_service.list_documents()
        return jsonify({
            'success': True,
            'data': documents
        })
    except Exception as e:
        return jsonify({'success': False, 'error': str(e)}), 500

@app.route('/api/documents/upload', methods=['POST'])
def upload_document():
    """上传文档"""
    try:
        if 'file' not in request.files:
            return jsonify({'success': False, 'error': '没有上传文件'}), 400
        
        file = request.files['file']
        if file.filename == '':
            return jsonify({'success': False, 'error': '文件名为空'}), 400
        
        result = knowledge_service.upload_and_index(file)
        
        if result['success']:
            return jsonify({
                'success': True,
                'data': result
            })
        else:
            return jsonify({'success': False, 'error': result.get('error')}), 400
    
    except Exception as e:
        return jsonify({'success': False, 'error': str(e)}), 500

@app.route('/api/documents/<filename>', methods=['DELETE'])
def delete_document(filename):
    """删除文档"""
    try:
        result = knowledge_service.delete_document(filename)
        return jsonify({
            'success': result['success'],
            'data': result
        })
    except Exception as e:
        return jsonify({'success': False, 'error': str(e)}), 500

@app.route('/api/search', methods=['POST'])
def search():
    """搜索文档"""
    try:
        data = request.get_json()
        query = data.get('query', '')
        top_k = data.get('top_k', 5)
        
        if not query:
            return jsonify({'success': False, 'error': '查询内容不能为空'}), 400
        
        results = knowledge_service.search(query, top_k)
        
        # 打印调试信息
        print(f"[Search] Query: {query[:50]}..., Results: {len(results)}")
        for i, r in enumerate(results):
            print(f"  [{i+1}] filename: {r.get('filename')}, content_len: {len(r.get('content', ''))}")
        
        return jsonify({
            'success': True,
            'data': results
        })
    except Exception as e:
        return jsonify({'success': False, 'error': str(e)}), 500

@app.route('/api/stats', methods=['GET'])
def get_stats():
    """获取统计信息"""
    try:
        stats = knowledge_service.get_stats()
        return jsonify({
            'success': True,
            'data': stats
        })
    except Exception as e:
        return jsonify({'success': False, 'error': str(e)}), 500

@app.route('/api/rebuild', methods=['POST'])
def rebuild_index():
    """重建索引"""
    try:
        result = knowledge_service.rebuild_index()
        return jsonify({
            'success': True,
            'data': result
        })
    except Exception as e:
        return jsonify({'success': False, 'error': str(e)}), 500

@app.route('/api/scan', methods=['POST'])
def scan_folder():
    """扫描文件夹并索引新文件"""
    try:
        result = knowledge_service.scan_and_index_folder()
        return jsonify({
            'success': True,
            'data': result
        })
    except Exception as e:
        return jsonify({'success': False, 'error': str(e)}), 500

@app.route('/api/rag-analyze', methods=['POST'])
def rag_analyze():
    """RAG增强的AI分析 - 结合知识库生成分析报告"""
    try:
        data = request.get_json()
        report_content = data.get('reportContent', '')
        report_title = data.get('reportTitle', '心理测评报告')
        
        if not report_content:
            return jsonify({'success': False, 'error': '报告内容不能为空'}), 400
        
        # 1. 从报告中提取关键词进行知识库检索
        # 提取纯文本（去除HTML标签）
        import re
        text_content = re.sub(r'<[^>]*>', '', report_content)
        
        # 提取关键信息用于检索
        query_keywords = []
        # 提取因子名称
        factor_matches = re.findall(r'([\u4e00-\u9fa5]+(?:焦虑|抑郁|压力|情绪|睡眠|躯体|认知|人格|心理)[\u4e00-\u9fa5]*)', text_content)
        query_keywords.extend(factor_matches[:5])
        # 提取等级
        level_matches = re.findall(r'(正常|轻度|中度|重度|严重)', text_content)
        query_keywords.extend(level_matches[:3])
        
        query = ' '.join(set(query_keywords)) if query_keywords else '心理测评 分析 建议'
        
        # 2. 检索相关知识
        search_results = knowledge_service.search(query, top_k=5)
        
        # 3. 构建知识库上下文
        knowledge_context = ""
        sources = []
        if search_results and len(search_results) > 0:
            knowledge_parts = []
            for i, result in enumerate(search_results[:5]):
                content = result.get('content', '')
                filename = result.get('filename', '未知来源')
                similarity = result.get('similarity', 0)
                if content:
                    knowledge_parts.append(f"【参考资料{i+1}】({filename})\n{content[:500]}")
                    sources.append({
                        'filename': filename,
                        'content': content[:200] + '...' if len(content) > 200 else content,
                        'similarity': similarity
                    })
            knowledge_context = '\n\n'.join(knowledge_parts)
        
        # 打印调试信息到控制台
        print("=" * 50)
        print("📚 RAG-Analyze 检索结果")
        print("=" * 50)
        print(f"查询关键词: {query}")
        print(f"检索到文档数: {len(sources)}")
        for i, s in enumerate(sources):
            print(f"  [{i+1}] {s['filename']} (相似度: {s.get('similarity', 0):.4f})")
        print("=" * 50)
        
        # 4. 返回检索结果，让前端调用AI
        return jsonify({
            'success': True,
            'data': {
                'knowledgeContext': knowledge_context,
                'sources': sources,
                'query': query
            }
        })
    except Exception as e:
        import traceback
        traceback.print_exc()
        return jsonify({'success': False, 'error': str(e)}), 500

def init_service():
    """初始化服务"""
    print("=" * 50)
    print("RAG 知识库服务启动中...")
    print("=" * 50)
    
    # 初始化知识库服务
    knowledge_service.init()
    
    # 扫描并索引新文件
    knowledge_service.scan_and_index_folder()
    
    # 启动文件监控
    global file_watcher
    file_watcher = FileWatcher(knowledge_service)
    file_watcher.start()
    
    print("=" * 50)
    print(f"服务已启动: http://{HOST}:{PORT}")
    print(f"知识库文件夹: {KNOWLEDGE_DIR}")
    print("=" * 50)

if __name__ == '__main__':
    init_service()
    app.run(host=HOST, port=PORT, debug=False, threaded=True)