InMemoryRepo

class lsst.pipe.base.tests.mocks.InMemoryRepo(*args: str | ResourcePath, registry_config: RegistryConfig | None = None, dimension_config: DimensionConfig | None = None, input_run: str = 'input_run', input_chain: str = 'input_chain', use_import_collections_as_input: bool | str | Iterable[str] = True, data_root: str | ParseResult | ResourcePath | Path | None = 'resource://lsst.daf.butler/tests/registry_data')

Bases: MockRepo

A test helper that simulates a butler repository for task execution without any disk I/O.

Parameters

*argsstr or lsst.resources.ResourcePath

Butler YAML import files to load into the test repository.

registry_configlsst.daf.butler.RegistryConfig, optional

Registry configuration for the repository.

dimension_configlsst.daf.butler.DimensionConfig, optional

Dimension universe configuration for the repository.

input_runstr, optional

Name of a RUN collection that will be used as an input to quantum graph generation. Input datasets created by the helper are added to this collection.

input_chainstr, optional

Name of a CHAINED collection that will be the direct input to quantum graph generation. This always includes input_run.

use_import_collections_as_inputbool, str, or Iterable [ str], optional

Additional collections from YAML import files to include in input_chain, or True to include all such collections (in chain-flattened lexicographical order).

data_rootconvertible to lsst.resources.ResourcePath, optional

Root directory to join to each element in *args. Defaults to the lsst.daf.butler.tests.registry_data package.

Notes

This helper maintains an pipeline_graph.PipelineGraph and a no-datastore butler backed by an in-memory SQLite database for use in quantum graph generation. It creates a separate in-memory limited butler for execution as needed.

Methods Summary

make_limited_butler()	Make a test limited butler for execution.
make_single_quantum_executor([qg])	Make a single-quantum executor backed by a new limited butler.

Methods Documentation

make_limited_butler() → InMemoryLimitedButler

Make a test limited butler for execution.

Returns

limited_butlerInMemoryLimitedButler

A limited butler that can be used for task execution.

Notes

This queries the database-only butler used for quantum-graph generation for all datasets in the input_chain collection, and populates the limited butler with those that have a mock storage class. Other datasets are ignored, so they will appear as though they were present during quantum graph generation but absent during execution.

make_single_quantum_executor(qg: PredictedQuantumGraph | None = None) → tuple[SingleQuantumExecutor, InMemoryLimitedButler]

Make a single-quantum executor backed by a new limited butler.

Parameters

qgquantum_graph.PredictedQuantumGraph

Ignored by this implementation.

Returns

executorsingle_quantum_executor.SingleQuantumExecutor

An executor for a single quantum.

butlerInMemoryLimitedButler

The butler that the executor will write to.