import _thread as thread import base64 import datetime import hashlib import hmac import json from urllib.parse import urlparse import ssl from datetime import datetime from time import mktime from urllib.parse import urlencode from wsgiref.handlers import format_date_time import websocket timeout_bot_msg = '[Local Message] Request timeout. Network error.' class Ws_Param(object): # 初始化 def __init__(self, APPID, APIKey, APISecret, gpt_url): self.APPID = APPID self.APIKey = APIKey self.APISecret = APISecret self.host = urlparse(gpt_url).netloc self.path = urlparse(gpt_url).path self.gpt_url = gpt_url # 生成url def create_url(self): # 生成RFC1123格式的时间戳 now = datetime.now() date = format_date_time(mktime(now.timetuple())) # 拼接字符串 signature_origin = "host: " + self.host + "\n" signature_origin += "date: " + date + "\n" signature_origin += "GET " + self.path + " HTTP/1.1" # 进行hmac-sha256进行加密 signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'), digestmod=hashlib.sha256).digest() signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8') authorization_origin = f'api_key="{self.APIKey}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha_base64}"' authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8') # 将请求的鉴权参数组合为字典 v = { "authorization": authorization, "date": date, "host": self.host } # 拼接鉴权参数,生成url url = self.gpt_url + '?' + urlencode(v) # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释,比对相同参数时生成的url与自己代码生成的url是否一致 return url # 收到websocket错误的处理 def on_error(ws, error): print("### error:", error) # 收到websocket关闭的处理 def on_close(ws): print("### closed ###") def generate_message_payload(inputs, llm_kwargs, history, system_prompt, stream): conversation_cnt = len(history) // 2 messages = [{"role": "system", "content": system_prompt}] if conversation_cnt: for index in range(0, 2*conversation_cnt, 2): what_i_have_asked = {} what_i_have_asked["role"] = "user" what_i_have_asked["content"] = history[index] what_gpt_answer = {} what_gpt_answer["role"] = "assistant" what_gpt_answer["content"] = history[index+1] if what_i_have_asked["content"] != "": if what_gpt_answer["content"] == "": continue if what_gpt_answer["content"] == timeout_bot_msg: continue messages.append(what_i_have_asked) messages.append(what_gpt_answer) else: messages[-1]['content'] = what_gpt_answer['content'] what_i_ask_now = {} what_i_ask_now["role"] = "user" what_i_ask_now["content"] = inputs messages.append(what_i_ask_now) return messages def gen_params(appid, inputs, llm_kwargs, history, system_prompt, stream): """ 通过appid和用户的提问来生成请参数 """ data = { "header": { "app_id": appid, "uid": "1234" }, "parameter": { "chat": { "domain": "general", "random_threshold": 0.5, "max_tokens": 2048, "auditing": "default" } }, "payload": { "message": { "text": generate_message_payload(inputs, llm_kwargs, history, system_prompt, stream) } } } return data # 收到websocket消息的处理 def on_message(ws, message): print(message) data = json.loads(message) code = data['header']['code'] if code != 0: print(f'请求错误: {code}, {data}') ws.close() else: choices = data["payload"]["choices"] status = choices["status"] content = choices["text"][0]["content"] ws.content += content print(content, end='') if status == 2: ws.close() def commit_request(appid, api_key, api_secret, gpt_url, question): inputs = question llm_kwargs = {} history = [] system_prompt = "" stream = True wsParam = Ws_Param(appid, api_key, api_secret, gpt_url) websocket.enableTrace(False) wsUrl = wsParam.create_url() # 收到websocket连接建立的处理 def on_open(ws): thread.start_new_thread(run, (ws,)) def run(ws, *args): data = json.dumps(gen_params(ws.appid, *ws.all_args)) ws.send(data) ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open) ws.appid = appid ws.content = "" ws.all_args = (inputs, llm_kwargs, history, system_prompt, stream) ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE}) return ws.content """ 1、配置好python、pip的环境变量 2、执行 pip install websocket 与 pip3 install websocket-client 3、去控制台https://console.xfyun.cn/services/cbm获取appid等信息填写即可 """ if __name__ == "__main__": # 测试时候在此处正确填写相关信息即可运行 commit_request(appid="929e7d53", api_secret="NmFjNGE1ZDNhZWE2MzBkYzg5ZjNkZDcx", api_key="896f9c5cf1b2b8669f523507f96e6c99", gpt_url="ws://spark-api.xf-yun.com/v1.1/chat", question="你是谁?你能做什么")