Download lib/python3.11/site-packages/dashscope/rerank/text_rerank.py from michaelu0826/phantom_env: direct link, hf CLI and curl.
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https://huggingface.co/datasets/michaelu0826/phantom_env/resolve/main/lib/python3.11/site-packages/dashscope/rerank/text_rerank.py
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hf download hf://datasets/michaelu0826/phantom_env/lib/python3.11/site-packages/dashscope/rerank/text_rerank.py
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curl -L -o text_rerank.py https://huggingface.co/datasets/michaelu0826/phantom_env/resolve/main/lib/python3.11/site-packages/dashscope/rerank/text_rerank.py
2.5 kB
| # -*- coding: utf-8 -*- | |
| # Copyright (c) Alibaba, Inc. and its affiliates. | |
| from typing import List | |
| from dashscope.api_entities.dashscope_response import ReRankResponse | |
| from dashscope.client.base_api import BaseApi | |
| from dashscope.common.error import InputRequired, ModelRequired | |
| from dashscope.common.utils import _get_task_group_and_task | |
| class TextReRank(BaseApi): | |
| task = "text-rerank" | |
| """API for rerank models. | |
| """ | |
| class Models: | |
| gte_rerank = "gte-rerank" | |
| def call( # type: ignore[override] | |
| cls, | |
| model: str, | |
| query: str, | |
| documents: List[str], | |
| return_documents: bool = None, | |
| top_n: int = None, | |
| api_key: str = None, | |
| **kwargs, | |
| ) -> ReRankResponse: | |
| """Calling rerank service. | |
| Args: | |
| model (str): The model to use. | |
| query (str): The query string. | |
| documents (List[str]): The documents to rank. | |
| return_documents(bool, `optional`): enable return origin documents, | |
| system default is false. | |
| top_n(int, `optional`): how many documents to return, default return # noqa: E501 | |
| all the documents. | |
| api_key (str, optional): The DashScope api key. Defaults to None. | |
| Raises: | |
| InputRequired: The query and documents are required. | |
| ModelRequired: The model is required. | |
| Returns: | |
| RerankResponse: The rerank result. | |
| """ | |
| if query is None or documents is None or not documents: | |
| raise InputRequired("query and documents are required!") | |
| if model is None or not model: | |
| raise ModelRequired("Model is required!") | |
| task_group, function = _get_task_group_and_task(__name__) | |
| input = { # pylint: disable=redefined-builtin | |
| "query": query, | |
| "documents": documents, | |
| } | |
| parameters = {} | |
| if return_documents is not None: | |
| parameters["return_documents"] = return_documents | |
| if top_n is not None: | |
| parameters["top_n"] = top_n | |
| parameters = {**parameters, **kwargs} | |
| response = super().call( | |
| model=model, | |
| task_group=task_group, | |
| task=TextReRank.task, | |
| function=function, | |
| api_key=api_key, | |
| input=input, | |
| **parameters, # type: ignore[arg-type] | |
| ) | |
| return ReRankResponse.from_api_response(response) | |