Merge 39a35f10cd into 07930b854a

configs/models/jiutian/jiutian_139.py

@@ -0,0 +1,16 @@
+from opencompass.models import JiutianApi
+
+models = [
+    dict(
+        abbr='JIUTIAN-13.9B',
+        type=JiutianApi,
+        path='jiutian-cm',
+        appcode='',
+        url='https://jiutian.10086.cn/kunlun/ingress/api/h3t-f9c8f9/fae3164b494b4d97b7011c839013c912/ai-7f03963dae10471bb42b6a763a875a68/service-d4cc837d3fe34656a7c0eebd6cec8311/v1/chat/completions',
+        max_seq_len=8192,
+        max_out_len=4096,
+        batch_size=1,
+        max_tokens=512,
+        model_id='jiutian-cm'
+    )
+]

opencompass/models/__init__.py

@@ -49,3 +49,5 @@ from .yayi_api import Yayi  # noqa: F401
 from .yi_api import YiAPI  # noqa: F401
 from .zhipuai_api import ZhiPuAI  # noqa: F401
 from .zhipuai_v2_api import ZhiPuV2AI  # noqa: F401
+from .jiutian_api import JiutianApi  # noqa: F401
+

opencompass/models/jiutian_api.py

@@ -0,0 +1,203 @@
+import json
+import time
+from concurrent.futures import ThreadPoolExecutor
+from typing import Dict, List, Optional, Union
+import requests
+from opencompass.registry import MODELS
+from opencompass.utils.prompt import PromptList
+from .base_api import BaseAPIModel
+
+PromptType = Union[PromptList, str]
+
+
+@MODELS.register_module()
+class JiutianApi(BaseAPIModel):
+    """Model wrapper around Jiutian API's models.
+
+    Args:
+        path (str): The name of model.
+        max_seq_len (int): The maximum allowed sequence length of a model.
+            Note that the length of prompt + generated tokens shall not exceed
+            this value. Defaults to 2048.
+        query_per_second (int): The maximum queries allowed per second
+            between two consecutive calls of the API. Defaults to 1.
+        retry (int): Number of retires if the API call fails. Defaults to 2.
+        url (str): The base url
+        mode (str, optional): The method of input truncation when input length
+            exceeds max_seq_len. 'front','mid' and 'rear' represents the part
+            of input to truncate. Defaults to 'none'.
+        temperature (float, optional): What sampling temperature to use.
+            If not None, will override the temperature in the `generate()`
+            call. Defaults to None.
+        model_id : The id of model
+        appcode ： auth token
+    """
+
+    is_api: bool = True
+
+    def __init__(self,
+                 path: str = 'cmri_base',
+                 max_seq_len: int = 4096,
+                 query_per_second: int = 1,
+                 retry: int = 2,
+                 appcode: str = '',
+                 url: str = None,
+                 stream: bool = True,
+                 max_tokens: int = 1024,
+                 model_id: str = '',
+                 temperature: Optional[float] = None):
+
+        super().__init__(path=path,
+                         max_seq_len=max_seq_len,
+                         query_per_second=query_per_second,
+                         retry=retry)
+        import tiktoken
+        self.tiktoken = tiktoken
+        self.temperature = temperature
+        self.url = url
+        self.path = path
+        self.stream = stream
+        self.max_tokens = max_tokens
+        self.model_id = model_id
+        self.appcode = appcode
+
+    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)))
+        return results
+
+    def _generate(self, input: str or PromptList, max_out_len: int) -> str:
+        """Generate results given a list of inputs.
+
+        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)
+            messages = []
+
+        max_num_retries = 0
+        while max_num_retries < self.retry:
+            self.wait()
+            header = {
+                "Content-Type": "application/json",
+                "Authorization": "Bearer %s" % self.appcode
+            }
+            data = {
+                'model': self.model_id,
+                'messages': messages,
+                'max_tokens': self.max_tokens,
+                'stream': True
+            }
+
+            try:
+                raw_response = requests.request('POST',
+                                                url=self.url,
+                                                headers=header,
+                                                json=data,
+                                                stream=True)
+            except Exception as err:
+                self.logger.error('Request Error:{}'.format(err))
+                time.sleep(2)
+                continue
+
+            try:
+                response = self.parse_event_data(raw_response)
+            except Exception as err:
+                self.logger.error('Response Error:{}'.format(err))
+                response = None
+            self.release()
+
+            if response is None:
+                self.logger.error('Connection error, reconnect.')
+                self.wait()
+                continue
+            if isinstance(response, str):
+                self.logger.error('Get stram result error, retry.')
+                self.wait()
+                continue
+            try:
+                msg = response['full_text']
+                self.logger.debug(f'Generated: {msg}')
+                return msg
+            except:
+                return ''
+
+            max_num_retries += 1
+
+        raise RuntimeError('max error in max_num_retries')
+
+    def parse_event_data(self, resp) -> Dict:
+        """
+            解析事件数据
+            :return:
+            """
+
+        def _deal_data(data: str):
+            if data.startswith("data"):
+                data = data.split("data:")[-1]
+                try:
+                    d_data = json.loads(data)
+                    if "full_text" in d_data and d_data["full_text"]:
+                        self.logger.debug(f"client, request response={data}")
+                        return True, d_data
+                except Exception as e:
+                    self.logger.error(f"client, request response={data}, error={e}")
+
+            return False, {}
+
+        try:
+            if resp.encoding is None:
+                resp.encoding = 'utf-8'
+            for chunk in resp.iter_lines(decode_unicode=True):
+                if chunk.startswith(("event", "ping")):
+                    continue
+                flag, data = _deal_data(chunk)
+                if flag:
+                    return data
+            return ''
+        except Exception as e:
+            self.logger.error(f"client, get stram response error={e}")
+            return "get parse_event_data error"