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import time
from concurrent.futures import ThreadPoolExecutor
from typing import Dict, List, Optional, Union
import requests
from opencompass.utils.prompt import PromptList
from .base_api import BaseAPIModel
PromptType = Union[PromptList, str]
class MoonShot(BaseAPIModel):
"""Model wrapper around MoonShot.
Documentation:
Args:
path (str): The name of MoonShot model.
e.g. `moonshot-v1-32k`
key (str): Authorization key.
query_per_second (int): The maximum queries allowed per second
between two consecutive calls of the API. Defaults to 1.
max_seq_len (int): Unused here.
meta_template (Dict, optional): The model's meta prompt
template if needed, in case the requirement of injecting or
wrapping of any meta instructions.
retry (int): Number of retires if the API call fails. Defaults to 2.
"""
def __init__(
self,
path: str,
key: str,
url: str,
query_per_second: int = 2,
max_seq_len: int = 2048,
meta_template: Optional[Dict] = None,
retry: int = 2,
system_prompt: str = '',
):
super().__init__(path=path,
max_seq_len=max_seq_len,
query_per_second=query_per_second,
meta_template=meta_template,
retry=retry)
self.headers = {
'Content-Type': 'application/json',
'Authorization': 'Bearer ' + key,
}
self.url = url
self.model = path
self.system_prompt = system_prompt
def generate(
self,
inputs: List[str or PromptList],
max_out_len: int = 512,
) -> List[str]:
"""Generate results given a list of inputs.
Args:
inputs (List[str or PromptList]): A list of strings or PromptDicts.
The PromptDict should be organized in OpenCompass'
API format.
max_out_len (int): The maximum length of the output.
Returns:
List[str]: A list of generated strings.
"""
with ThreadPoolExecutor() as executor:
results = list(
executor.map(self._generate, inputs,
[max_out_len] * len(inputs)))
self.flush()
return results
def _generate(
self,
input: str or PromptList,
max_out_len: int = 512,
) -> str:
"""Generate results given an input.
Args:
inputs (str or PromptList): A string or PromptDict.
The PromptDict should be organized in OpenCompass'
API format.
max_out_len (int): The maximum length of the output.
Returns:
str: The generated string.
"""
assert isinstance(input, (str, PromptList))
if isinstance(input, str):
messages = [{'role': 'user', 'content': input}]
else:
messages = []
for item in input:
msg = {'content': item['prompt']}
if item['role'] == 'HUMAN':
msg['role'] = 'user'
elif item['role'] == 'BOT':
msg['role'] = 'assistant'
messages.append(msg)
system = {
'role': 'system',
'content': self.system_prompt
# '你是 Kimi，由 Moonshot AI 提供的人工智能助手，你更擅长中文和英文的对话。'
# '你会为用户提供安全，有帮助，准确的回答。同时，你会拒绝一些涉及恐怖主义，种族歧视，'
# '黄色暴力等问题的回答。Moonshot AI 为专有名词，不可翻译成其他语言。'
}
messages.insert(0, system)
data = {
'model': self.model,
'messages': messages,
}
max_num_retries = 0
while max_num_retries < self.retry:
self.acquire()
try:
raw_response = requests.request('POST',
url=self.url,
headers=self.headers,
json=data)
except Exception as err:
print('Request Error:{}'.format(err))
time.sleep(2)
continue
response = raw_response.json()
self.release()
if response is None:
print('Connection error, reconnect.')
# if connect error, frequent requests will casuse
# continuous unstable network, therefore wait here
# to slow down the request
self.wait()
continue
if raw_response.status_code == 200:
# msg = json.load(response.text)
# response
msg = response['choices'][0]['message']['content']
return msg
if raw_response.status_code == 403:
print('请求被拒绝 api_key错误')
continue
elif raw_response.status_code == 400:
print(messages, response)
print('请求失败，状态码:', raw_response)
msg = 'The request was rejected because high risk'
return msg
time.sleep(1)
continue
elif raw_response.status_code == 429:
print(messages, response)
print('请求失败，状态码:', raw_response)
time.sleep(5)
continue
max_num_retries += 1
raise RuntimeError(raw_response)
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