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SparkApi.py
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SparkApi.py
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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 # 使用websocket_client
answer = ""
from queue import Queue
import threading
message_queue = Queue()
class Ws_Param(object):
# 初始化
def __init__(self, APPID, APIKey, APISecret, Spark_url):
self.APPID = APPID
self.APIKey = APIKey
self.APISecret = APISecret
self.host = urlparse(Spark_url).netloc
self.path = urlparse(Spark_url).path
self.Spark_url = Spark_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.Spark_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,one,two):
print(" ")
# 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(appid=ws.appid, domain= ws.domain,question=ws.question))
ws.send(data)
# 收到websocket消息的处理
def on_message(ws, message):
# print(message)
global message_queue
message_queue.put(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"]
# print(content,end ="")
# global answer
# answer += content
# # print(1)
# if status == 2:
# ws.close()
def message_generator():
global message_queue
while True:
message = message_queue.get()
yield message
message_queue.task_done()
def gen_params(appid, domain,question):
"""
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": domain,
"random_threshold": 0.5,
"max_tokens": 2048,
"auditing": "default"
}
},
"payload": {
"message": {
"text": question
}
}
}
return data
def main(appid, api_key, api_secret, Spark_url,domain, question):
# print("星火:")
wsParam = Ws_Param(appid, api_key, api_secret, Spark_url)
websocket.enableTrace(False)
wsUrl = wsParam.create_url()
ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open)
ws.appid = appid
ws.question = question
ws.domain = domain
ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})
#以下密钥信息从控制台获取
appid = "41ff96e9" #填写控制台中获取的 APPID 信息
api_secret = "ZWJmZjc2MWI2YTQxNmJjZDg2NTk0MWZk" #填写控制台中获取的 APISecret 信息
api_key ="29f4bb960509a99aa6ad4e215bb236e7" #填写控制台中获取的 APIKey 信息
#用于配置大模型版本,默认“general/generalv2”
domain = "general" # v1.5版本
# domain = "generalv2" # v2.0版本
#云端环境的服务地址
Spark_url = "wss://spark-api.xf-yun.com/v1.1/chat" # v1.5环境的地址
# Spark_url = "ws://spark-api.xf-yun.com/v2.1/chat" # v2.0环境的地址
text = []
def getText(role,content):
jsoncon = {}
jsoncon["role"] = role
jsoncon["content"] = content
text.append(jsoncon)
return text
def other_function():
for message in message_generator():
print(message)
if __name__ == '__main__':
# main(appid, api_key, api_secret, Spark_url, domain, getText("user",'帮我写出一个200字的小说'))
# other_function()
# 创建并启动生产者线程和消费者线程
producer_thread = threading.Thread(target=main(appid, api_key, api_secret, Spark_url, domain, getText("user",'帮我写出一个200字的小说')))
consumer_thread = threading.Thread(target=other_function())
producer_thread.start()
consumer_thread.start()
# 等待两个线程都完成
producer_thread.join()
consumer_thread.join()