`academic_observatory_workflows.openalex_telescope.tests.test_openalex_telescope`

Module Contents

Classes

`TestOpenAlexUtils`
`TestOpenAlexTelescope`	Tests for the OpenAlex telescope

Functions

`upload_folder_to_s3`(bucket_name, folder_path[, s3_prefix])
`create_openalex_dataset`(→ Dict)	Create an OpenAlex dataset based on data from the fixtures folder, uploading it to AWS S3 storage.
`get_table_expiry`(table_id)

Attributes

FIXTURES_FOLDER

academic_observatory_workflows.openalex_telescope.tests.test_openalex_telescope.FIXTURES_FOLDER[source]

class academic_observatory_workflows.openalex_telescope.tests.test_openalex_telescope.TestOpenAlexUtils(*args, **kwargs)[source]

Bases: observatory.platform.observatory_environment.ObservatoryTestCase

test_s3_uri_parts()[source]

test_meta()[source]

test_manifest_entry()[source]

test_manifest()[source]

test_merged_id()[source]

test_openalex_entity(m_variable_get)[source]

test_fetch_manifest()[source]

test_fetch_merged_ids()[source]

test_transform_object()[source]: Test the transform_object function.

test_bq_compare_schemas()[source]

test_merge_schema_maps()[source]

academic_observatory_workflows.openalex_telescope.tests.test_openalex_telescope.upload_folder_to_s3(bucket_name: str, folder_path: str, s3_prefix=None)[source]

academic_observatory_workflows.openalex_telescope.tests.test_openalex_telescope.create_openalex_dataset(input_path: pathlib.Path, bucket_name: str) → Dict[source]

Create an OpenAlex dataset based on data from the fixtures folder, uploading it to AWS S3 storage.

Parameters:

input_path – the input path of the dataset in the fixtures folder.
bucket_name – the AWS S3 bucket name.

Returns:

a manifest index, with entity name as key and manfiest as value, to use for testing.

class academic_observatory_workflows.openalex_telescope.tests.test_openalex_telescope.TestOpenAlexTelescope(*args, **kwargs)[source]