Source code for servicex.dataset_identifier

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from typing import List, Union, Optional

from servicex.models import TransformRequest


[docs] class DataSetIdentifier: r""" Base class for specifying the dataset to transform. This can either be a list of xRootD URIs or a rucio DID """ def __init__(self, scheme: str, dataset: str, num_files: Optional[int] = None): self.scheme = scheme self.dataset = dataset self.num_files = num_files @property def did(self): num_files_arg = f"?files={self.num_files}" if self.num_files is not None else "" return f"{self.scheme}://{self.dataset}{num_files_arg}"
[docs] def populate_transform_request(self, transform_request: TransformRequest) -> None: transform_request.did = self.did transform_request.file_list = None
[docs] class RucioDatasetIdentifier(DataSetIdentifier): def __init__(self, dataset: str, num_files: Optional[int] = None): r""" Rucio Dataset - this will be looked up using the Rucio data management service. :param dataset: The rucio DID - this can be a dataset or a container of datasets. :param num_files: Maximum number of files to return. This is useful during development to perform quick runs. ServiceX is careful to make sure it always returns the same subset of files. """ super().__init__("rucio", dataset, num_files=num_files) yaml_tag = '!Rucio'
[docs] @classmethod def from_yaml(cls, _, node): return cls(node.value)
[docs] class FileListDataset(DataSetIdentifier): def __init__(self, files: Union[List[str], str]): r""" Dataset specified as a list of XRootD URIs. :param files: Either a list of URIs or a single URI string """ self.files: List[str] if isinstance(files, str): self.files = [files] else: self.files = files
[docs] def populate_transform_request(self, transform_request: TransformRequest) -> None: transform_request.file_list = self.files transform_request.did = None
@property def did(self): return None yaml_tag = '!FileList'
[docs] @classmethod def from_yaml(cls, constructor, node): return cls(constructor.construct_sequence(node))
[docs] class CERNOpenDataDatasetIdentifier(DataSetIdentifier): def __init__(self, dataset: int, num_files: Optional[int] = None): r""" CERN Open Data Dataset - this will be looked up using the CERN Open Data DID finder. :param dataset: The dataset ID - this is an integer. :param num_files: Maximum number of files to return. This is useful during development to perform quick runs. ServiceX is careful to make sure it always returns the same subset of files. """ super().__init__("cernopendata", f'{dataset}', num_files=num_files) yaml_tag = '!CERNOpenData'
[docs] @classmethod def from_yaml(cls, _, node): return cls(int(node.value))