File size: 2,096 Bytes
cbc00ce | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | # -*- coding: utf-8 -*-
# Copyright (c) Alibaba, Inc. and its affiliates.
from typing import List, Union
from dashscope.api_entities.dashscope_response import DashScopeAPIResponse
from dashscope.client.base_api import BaseApi
from dashscope.common.constants import TEXT_EMBEDDING_INPUT_KEY
from dashscope.common.utils import _get_task_group_and_task
class TextEmbedding(BaseApi):
task = "text-embedding"
class Models:
text_embedding_v1 = "text-embedding-v1"
text_embedding_v2 = "text-embedding-v2"
text_embedding_v3 = "text-embedding-v3"
text_embedding_v4 = "text-embedding-v4"
@classmethod
def call( # type: ignore[override]
cls,
model: str,
input: Union[str, List[str]], # pylint: disable=redefined-builtin
workspace: str = None,
api_key: str = None,
**kwargs,
) -> DashScopeAPIResponse:
"""Get embedding of text input.
Args:
model (str): The embedding model name.
input (Union[str, List[str], io.IOBase]): The text input,
can be a text or list of text or opened file object,
if opened file object, will read all lines,
one embedding per line.
workspace (str): The dashscope workspace id.
**kwargs:
text_type(str, `optional`): query or document.
Returns:
DashScopeAPIResponse: The embedding result.
"""
embedding_input = {}
if isinstance(input, str):
embedding_input[TEXT_EMBEDDING_INPUT_KEY] = [input]
else:
embedding_input[TEXT_EMBEDDING_INPUT_KEY] = input
kwargs.pop("stream", False) # not support streaming output.
task_group, function = _get_task_group_and_task(__name__)
return super().call(
model=model,
input=embedding_input,
task_group=task_group,
task=TextEmbedding.task,
function=function,
api_key=api_key,
workspace=workspace,
**kwargs,
)
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