Source code for qianfan.resources.console.model

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"""
Model API
"""

from typing import Any, Dict, List, Optional

from qianfan.consts import Consts
from qianfan.resources.console.utils import console_api_request
from qianfan.resources.typing import QfRequest


[docs]class Model(object): """ Class for Model Management API """
[docs] @classmethod @console_api_request def list(cls, model_id: int, **kwargs: Any) -> QfRequest: """ List all versions and source information of a model. This class method is used to retrieve information about all versions of a specific model, along with their source details. Parameters: model_id (int): The unique identifier of the model for which you want to list versions. kwargs (Any): Additional keyword arguments that can be passed to customize the request. Note: The `@console_api_request` decorator is applied to this method, enabling it to send the generated QfRequest and return a QfResponse to the user. API Doc: https://cloud.baidu.com/doc/WENXINWORKSHOP/s/clnlizwcs """ req = QfRequest(method="POST", url=Consts.ModelDetailAPI) req.json_body = {"modelId": model_id, **kwargs} return req
[docs] @classmethod @console_api_request def detail(cls, model_version_id: int, **kwargs: Any) -> QfRequest: """ Retrieve detailed information for a specific model version. This method is used to fetch detailed information about a particular model version identified by the `model_version_id` parameter. The information includes various attributes and properties associated with the specified model version. Parameters: model_version_id (int): The unique identifier for the model version whose details are to be retrieved. kwargs (Any): Additional keyword arguments that can be passed to customize the request. Note: The `@console_api_request` decorator is applied to this method, enabling it to send the generated QfRequest and return a QfResponse to the user. API Doc: https://cloud.baidu.com/doc/WENXINWORKSHOP/s/ylnljj3ku """ req = QfRequest(method="POST", url=Consts.ModelVersionDetailAPI) req.json_body = {"modelVersionId": model_version_id, **kwargs} return req
[docs] @classmethod @console_api_request def publish( cls, is_new: bool, version_meta: Dict[str, Any], model_name: Optional[str] = None, model_id: Optional[int] = None, tags: Optional[List[str]] = None, **kwargs: Any ) -> QfRequest: """ Publishes a trained model to the model repository. This function allows for the publishing of a trained model to a model repository. Parameters: is_new (bool): A boolean indicating whether this is a new model to be published. version_meta (Dict[str, Any]): Metadata for the model being published. model_name (Optional[str]): The name of the model to be published (required when `is_new` is True). model_id (Optional[int]): The ID of the model to be published (required when `is_new` is False). tags (Optional[List[str]]): A list of tags associated with the model (optional). kwargs (Any): Additional keyword arguments that can be passed to customize the request. Note: The `@console_api_request` decorator is applied to this method, enabling it to send the generated QfRequest and return a QfResponse to the user. API Doc: https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Jlnlm0rdx """ req = QfRequest(method="POST", url=Consts.ModelPublishAPI) req.json_body = {"isNewModel": is_new, "versionMeta": version_meta, **kwargs} if model_name is not None: req.json_body["modelName"] = model_name if model_id is not None: req.json_body["modelId"] = model_id if tags is not None: req.json_body["tags"] = tags return req