make_injection_pipeline¶
- lsst.source.injection.make_injection_pipeline(dataset_type_name: str, reference_pipeline: Pipeline | str, injection_pipeline: Pipeline | str | None = None, exclude_subsets: bool = False, excluded_tasks: set[str] | str = {'fgcmBuildFromIsolatedStars', 'fgcmFitCycle', 'fgcmOutputProducts', 'gbdesAstrometricFit', 'jointcal'}, prefix: str = 'injected_', instrument: str | None = None, config: str | list[str] | None = None, log_level: int = 20) Pipeline¶
Make an expanded source injection pipeline.
This function takes a reference pipeline definition file in YAML format and prefixes all post-injection dataset type names with the injected prefix. If an optional injection pipeline definition YAML file is also provided, the injection task will be merged into the pipeline.
Unless explicitly excluded, all subsets from the reference pipeline which contain the task which generates the injection dataset type will also be updated to include the injection task.
- Parameters:
- dataset_type_name
str Name of the dataset type being injected into.
- reference_pipelinePipeline |
str Location of a reference pipeline definition YAML file.
- injection_pipelinePipeline |
str, optional Location of an injection pipeline definition YAML file stub. If not provided, an attempt to infer the injection pipeline will be made based on the injected dataset type name.
- exclude_subsets
bool, optional If True, do not update pipeline subsets to include the injection task.
- excluded_tasks
set[str] |str Set or comma-separated string of task labels to exclude from the injection pipeline.
- prefix
str, optional Prefix to prepend to each affected post-injection dataset type name.
- instrument
str, optional Add instrument overrides. Must be a fully qualified class name.
- log_level
int, optional The log level to use for logging.
- dataset_type_name
- Returns:
- pipeline
lsst.pipe.base.Pipeline An expanded source injection pipeline.
- pipeline