| |
| |
|
|
| 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( |
| cls, |
| model: str, |
| input: Union[str, List[str]], |
| 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) |
| 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, |
| ) |
|
|
