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import json
import time
import hashlib
from fastchat.conversation import Conversation
from server.model_workers.base import *
from server.utils import get_httpx_client
from fastchat import conversation as conv
import json
from typing import List, Literal, Dict
import requests
class TianGongWorker(ApiModelWorker):
def __init__(
self,
*,
controller_addr: str = None,
worker_addr: str = None,
model_names: List[str] = ["tiangong-api"],
version: Literal["SkyChat-MegaVerse"] = "SkyChat-MegaVerse",
**kwargs,
):
kwargs.update(model_names=model_names, controller_addr=controller_addr, worker_addr=worker_addr)
kwargs.setdefault("context_len", 32768)
super().__init__(**kwargs)
self.version = version
def do_chat(self, params: ApiChatParams) -> Dict:
params.load_config(self.model_names[0])
url = 'https://sky-api.singularity-ai.com/saas/api/v4/generate'
data = {
"messages": params.messages,
"model": "SkyChat-MegaVerse"
}
timestamp = str(int(time.time()))
sign_content = params.api_key + params.secret_key + timestamp
sign_result = hashlib.md5(sign_content.encode('utf-8')).hexdigest()
headers = {
"app_key": params.api_key,
"timestamp": timestamp,
"sign": sign_result,
"Content-Type": "application/json",
"stream": "true" # or change to "false" 不处理流式返回内容
}
# 发起请求并获取响应
response = requests.post(url, headers=headers, json=data, stream=True)
text = ""
# 处理响应流
for line in response.iter_lines(chunk_size=None, decode_unicode=True):
if line:
# 处理接收到的数据
# print(line.decode('utf-8'))
resp = json.loads(line)
if resp["code"] == 200:
text += resp['resp_data']['reply']
yield {
"error_code": 0,
"text": text
}
else:
data = {
"error_code": resp["code"],
"text": resp["code_msg"]
}
self.logger.error(f"请求天工 API 时出错：{data}")
yield data
def get_embeddings(self, params):
print("embedding")
print(params)
def make_conv_template(self, conv_template: str = None, model_path: str = None) -> Conversation:
return conv.Conversation(
name=self.model_names[0],
system_message="",
messages=[],
roles=["user", "system"],
sep="\n### ",
stop_str="###",
)
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