> For the complete documentation index, see [llms.txt](https://docs.redivis.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.redivis.com/api/client-libraries/redivis-python/reference/datasource.md). # Datasource ## *class* Datasource An interface for working with workflow datasources on Redivis. ## Constructors

Method	Description
`redivis.datasource`(name)	Create a reference to a datasource. Can only be called if a default workflow is set.
`Workflow.datasource`(name)	Create a reference to a Datasource within a specific workflow.
`Workflow.list_datasources`([max_results])	Returns a list of Datasources within a workflow

## Examples ```python username = "imathews" workflow_name = "example_workflow_climate_analysis:x7kh" dataset_name = "ghcn_daily_weather_data" workflow = redivis.workflow(f"{username}.{workflow_name}") datasource = workflow.datasource(dataset_name) datasource.update(version="v2.0") ``` ## Attributes | **`workflow`** | A reference to the [Workflow](/api/client-libraries/redivis-python/reference/workflow.md) instance that this datasource belongs to. | | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | **`properties`** | A dict containing the [API resource representation of the datasource](/api/resource-definitions/datasource.md). This will only be populated after certain methods are called, particularly the `get` method, and will otherwise be `None`. | ## Methods

Method	Description
`datasource.create`()	Create a new datasource in a workflow
`datasource.get`()	Fetches the datasource, after which datasource.properties will contain a dict with entries corresponding to the properties on the datasource resource definition. Will raise an error if the datasource does not exist.
`datasource.exists`()	Check whether the datasource exists.
`datasource.source_dataset`()	Returns a reference to this datasource's source dataset.
`datasource.source_workflow`()	Returns a reference to this datasource's source workflow.
`datasource.update`([*, ...])	Update the datasource to reference a new dataset, workflow, or version thereof.

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