from flask import Flask, request, jsonify, send_file, Response from flask_cors import CORS import openai import sys import os from methods.self_RAG_demo import pipeline from citekit.utils.utils import parse_html_config import copy from parser import * app = Flask(__name__) CORS(app) # 允许跨域请求 original_pipeline = copy.deepcopy(pipeline) # 保存原始 pipeline @app.route("/") def index(): return send_file("index.html") @app.route("/reset_pipeline", methods=["POST"]) def reset_pipeline(): global pipeline pipeline = copy.deepcopy(original_pipeline) # 重置 pipeline return jsonify({"message": "Pipeline reset successfully."}) @app.route("/run_pipeline", methods=["POST"]) def run_pipeline(): data = request.json if not data: return jsonify({"error": "Invalid input data"}), 400 try: result = pipeline(data) # 直接调用 pipeline 处理数据 print(result) return jsonify(result) # 返回 JSON 结果 except Exception as e: return jsonify({"error": str(e)}), 500 @app.route("/get_nodes", methods=["POST"]) def get_nodes(*args, **kwargs): graph = PipelineGraph(pipeline) try: return jsonify(graph.get_json()) except Exception as e: return jsonify({"error": str(e)}), 500 @app.route("/update", methods=["POST"]) def update(): data = request.json update_info = data.get("update_info") update_object = data.get('update_object') print(update_info, update_object) try: config, update_info = parse_html_config(update_info) print('GOT CONFIG', config, update_info) pipeline.update(update_object, config, update_info) return jsonify({}) except Exception as e: return jsonify({"error": str(e)}), 500 @app.route("/get_config", methods=["POST"]) def get_config(): data = request.json config = data.get("config").lower() module_name = data.get("module_name") module = pipeline.get_module_by_name(module_name) try: if config in ['prompt', 'destination', 'max turn', 'global prompt', 'parallel']: return jsonify(module.get_json_config(config)) else: raise NotImplementedError except Exception as e: return jsonify({"error": str(e)}), 500 @app.route("/chat", methods=["POST"]) def chat(): data = request.json api_key = data.get("api_key") user_message = data.get("message") if os.environ.get("OPENAI_API_KEY"): api_key = os.environ.get("OPENAI_API_KEY") if not api_key or not user_message: return jsonify({"error": "API Key and message are required"}), 400 try: openai.api_key = api_key response = openai.ChatCompletion.create( model="gpt-4o", messages=[ {"role": "system", "content": "You are a helpful assistant that follows the instructions of the user. You will be given a pipeline and (maybe) some datapoints in json format. You will be asked questions about the pipeline or the datapoints. Refuse to answer questions that are not about the pipeline or the datapoints."}, {"role": "user", "content": user_message} ], stream=True # 启用流式输出 ) def generate(): for chunk in response: if "choices" in chunk and chunk["choices"]: yield chunk["choices"][0]["delta"].get("content", "") return Response(generate(), content_type="text/event-stream") # 使用流式响应 except Exception as e: return jsonify({"error": str(e)}), 500 if __name__ == '__main__': app.run(host="0.0.0.0", port=7860)