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import time
from concurrent.futures import ThreadPoolExecutor
from typing import Dict, List, Optional, Union
from httpx import ProxyError
from opencompass.utils.prompt import PromptList
from .base_api import BaseAPIModel
try:
from zhipuai.core._errors import APIStatusError, APITimeoutError
except ImportError:
APIStatusError = None
APITimeoutError = None
PromptType = Union[PromptList, str]
class ZhiPuV2AI(BaseAPIModel):
"""Model wrapper around ZhiPuAI.
Args:
path (str): The name of OpenAI's model.
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,
query_per_second: int = 2,
max_seq_len: int = 2048,
meta_template: Optional[Dict] = None,
retry: int = 2,
generation_kwargs: Dict = {
'tools': [{
'type': 'web_search',
'enable': False
}]
}):
super().__init__(path=path,
max_seq_len=max_seq_len,
query_per_second=query_per_second,
meta_template=meta_template,
retry=retry,
generation_kwargs=generation_kwargs)
from zhipuai import ZhipuAI
# self.zhipuai = zhipuai
self.client = ZhipuAI(api_key=key)
self.model = path
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'
elif item['role'] == 'SYSTEM':
msg['role'] = 'system'
messages.append(msg)
data = {'model': self.model, 'messages': messages}
data.update(self.generation_kwargs)
max_num_retries = 0
while max_num_retries < self.retry:
self.acquire()
response = None
try:
response = self.client.chat.completions.create(**data)
except APIStatusError as err:
err_message = str(err.response.json()['error']['message'])
status_code = str(err.status_code)
err_code = str(err.response.json()['error']['code'])
print('Error message:{}'.format(err_message))
print('Statues code:{}'.format(status_code))
print('Error code:{}'.format(err_code))
if err_code == '1301':
return 'Sensitive content'
elif err_code == '1302':
print('Reach rate limit')
time.sleep(1)
continue
except ProxyError as err:
print('Proxy Error, try again. {}'.format(err))
time.sleep(3)
continue
except APITimeoutError as err:
print('APITimeoutError {}'.format(err))
time.sleep(3)
continue
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()
max_num_retries += 1
continue
# if response['code'] == 200 and response['success']:
# msg = response['data']['choices'][0]['content']
else:
msg = response.choices[0].message.content
return msg
# sensitive content, prompt overlength, network error
# or illegal prompt
if (response['code'] == 1301 or response['code'] == 1261
or response['code'] == 1234 or response['code'] == 1214):
print(response['msg'])
return ''
print(response)
max_num_retries += 1
raise RuntimeError(response['msg'])
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