YamlRepoImportBackend¶
- class lsst.daf.butler.YamlRepoImportBackend(stream: IO, registry: Registry)¶
Bases:
RepoImportBackend
A repository import implementation that reads from a YAML file.
- Parameters:
Methods Summary
load
(datastore, *[, directory, transfer, ...])Import information associated with the backend into the given registry and datastore.
register
()Register all runs and dataset types associated with the backend with the
Registry
the backend was constructed with.Methods Documentation
- load(datastore: Optional[Datastore], *, directory: Optional[str] = None, transfer: Optional[str] = None, skip_dimensions: Optional[Set] = None, idGenerationMode: DatasetIdGenEnum = DatasetIdGenEnum.UNIQUE, reuseIds: bool = False) None ¶
Import information associated with the backend into the given registry and datastore.
This must be run after
register
, and may be performed inside a transaction.- Parameters:
- datastore
Datastore
Datastore to import into. If
None
, datasets will only be inserted into theRegistry
(primarily intended for tests).- directory
str
, optional File all dataset paths are relative to.
- transfer
str
, optional Transfer mode forwarded to
Datastore.ingest
.- skip_dimensions
set
, optional Dimensions that should be skipped and not imported. This can be useful when importing into a registry that already knows about a specific instrument.
- idGenerationMode
DatasetIdGenEnum
, optional Specifies option for generating dataset IDs when IDs are not provided or their type does not match backend type. By default unique IDs are generated for each inserted dataset.
- reuseIds
bool
, optional If
True
then forces re-use of imported dataset IDs for integer IDs which are normally generated as auto-incremented. This option has no effect on the use of globally-unique IDs which are always re-used (or generated if integer IDs are being imported).
- datastore