mirror of
https://github.com/RYDE-WORK/Langchain-Chatchat.git
synced 2026-01-23 23:40:03 +08:00
d053950aee
- 更新langchain/fastchat依赖，添加xformers依赖 - 默认max_tokens=None, 生成tokens自动为模型支持的最大值 修复： - history_len=0 时会带入1条不完整的历史消息，导致LLM错误 - 当对话轮数 达到history_len时，传入的历史消息为空
80 lines
2.5 KiB
Python
80 lines
2.5 KiB
Python
import base64
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import datetime
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import hashlib
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import hmac
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from urllib.parse import urlparse
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from datetime import datetime
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from time import mktime
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from urllib.parse import urlencode
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from wsgiref.handlers import format_date_time
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class Ws_Param(object):
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# 初始化
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def __init__(self, APPID, APIKey, APISecret, Spark_url):
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self.APPID = APPID
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self.APIKey = APIKey
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self.APISecret = APISecret
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self.host = urlparse(Spark_url).netloc
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self.path = urlparse(Spark_url).path
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self.Spark_url = Spark_url
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# 生成url
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def create_url(self):
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# 生成RFC1123格式的时间戳
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now = datetime.now()
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date = format_date_time(mktime(now.timetuple()))
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# 拼接字符串
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signature_origin = "host: " + self.host + "\n"
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signature_origin += "date: " + date + "\n"
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signature_origin += "GET " + self.path + " HTTP/1.1"
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# 进行hmac-sha256进行加密
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signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),
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digestmod=hashlib.sha256).digest()
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signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8')
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authorization_origin = f'api_key="{self.APIKey}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha_base64}"'
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authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')
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# 将请求的鉴权参数组合为字典
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v = {
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"authorization": authorization,
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"date": date,
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"host": self.host
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}
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# 拼接鉴权参数，生成url
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url = self.Spark_url + '?' + urlencode(v)
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# 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
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return url
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def gen_params(appid, domain,question, temperature):
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"""
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通过appid和用户的提问来生成请参数
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"""
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data = {
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"header": {
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"app_id": appid,
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"uid": "1234"
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},
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"parameter": {
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"chat": {
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"domain": domain,
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"random_threshold": 0.5,
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"max_tokens": None,
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"auditing": "default",
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"temperature": temperature,
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}
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},
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"payload": {
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"message": {
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"text": question
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}
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}
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}
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return data
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