academic_observatory_workflows.workflows.crossref_metadata_telescope
Module Contents
Classes
The Crossref Metadata Telescope |
Functions
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Check if a release exists. |
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Transform a single Crossref Metadata json file. |
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Transform a single Crossref Metadata JSON value. |
Attributes
- academic_observatory_workflows.workflows.crossref_metadata_telescope.SNAPSHOT_URL = 'https://api.crossref.org/snapshots/monthly/{year}/{month:02d}/all.json.tar.gz'[source]
- academic_observatory_workflows.workflows.crossref_metadata_telescope.make_snapshot_url(snapshot_date: pendulum.DateTime) str[source]
- class academic_observatory_workflows.workflows.crossref_metadata_telescope.CrossrefMetadataRelease(*, dag_id: str, run_id: str, snapshot_date: pendulum.DateTime)[source]
Bases:
observatory.platform.workflows.workflow.SnapshotRelease
- class academic_observatory_workflows.workflows.crossref_metadata_telescope.CrossrefMetadataTelescope(*, dag_id: str, cloud_workspace: observatory.platform.observatory_config.CloudWorkspace, bq_dataset_id: str = 'crossref_metadata', bq_table_name: str = 'crossref_metadata', api_dataset_id: str = 'crossref_metadata', schema_folder: str = os.path.join(default_schema_folder(), 'crossref_metadata'), dataset_description: str = 'The Crossref Metadata Plus dataset: https://www.crossref.org/services/metadata-retrieval/metadata-plus/', table_description: str = 'The Crossref Metadata Plus dataset: https://www.crossref.org/services/metadata-retrieval/metadata-plus/', crossref_metadata_conn_id: str = 'crossref_metadata', observatory_api_conn_id: str = AirflowConns.OBSERVATORY_API, max_processes: int = os.cpu_count(), batch_size: int = 20, start_date: pendulum.DateTime = pendulum.datetime(2020, 6, 7), schedule: str = '0 0 7 * *', catchup: bool = True, queue: str = 'remote_queue', max_active_runs: int = 1)[source]
Bases:
observatory.platform.workflows.workflow.WorkflowThe Crossref Metadata Telescope
Saved to the BigQuery table: <project_id>.crossref.crossref_metadataYYYYMMDD
- make_release(**kwargs) CrossrefMetadataRelease[source]
Make release instances. The release is passed as an argument to the function (TelescopeFunction) that is called in ‘task_callable’.
- Parameters:
kwargs – the context passed from the PythonOperator. See
https://airflow.apache.org/docs/stable/macros-ref.html for a list of the keyword arguments that are passed to this argument. :return: a list of CrossrefMetadataRelease instances.
- download(release: CrossrefMetadataRelease, **kwargs)[source]
Task to download the CrossrefMetadataRelease release for a given month.
- upload_downloaded(release: CrossrefMetadataRelease, **kwargs)[source]
Upload data to Cloud Storage.
- transform(release: CrossrefMetadataRelease, **kwargs)[source]
Task to transform the CrossrefMetadataRelease release for a given month. Each extracted file is transformed.
- upload_transformed(release: CrossrefMetadataRelease, **kwargs) None[source]
Upload the transformed data to Cloud Storage.
- bq_load(release: CrossrefMetadataRelease, **kwargs)[source]
Task to load each transformed release to BigQuery. The table_id is set to the file name without the extension.
- add_new_dataset_releases(release: CrossrefMetadataRelease, **kwargs) None[source]
Adds release information to API.
- cleanup(release: CrossrefMetadataRelease, **kwargs) None[source]
Delete all files, folders and XComs associated with this release.
- Parameters:
release – the release instance.
kwargs – the context passed from the Airflow Operator.
See https://airflow.apache.org/docs/stable/macros-ref.html for a list of the keyword arguments that are passed to this argument. :return: None.
- academic_observatory_workflows.workflows.crossref_metadata_telescope.check_release_exists(month: pendulum.DateTime, api_key: str) bool[source]
Check if a release exists.
- Parameters:
month – the month of the release given as a datetime.
api_key – the Crossref Metadata API key.
- Returns:
if release exists or not.
- academic_observatory_workflows.workflows.crossref_metadata_telescope.transform_file(input_file_path: str, output_file_path: str)[source]
Transform a single Crossref Metadata json file. The json file is converted to a jsonl file and field names are transformed so they are accepted by BigQuery.
- Parameters:
input_file_path – the path of the file to transform.
output_file_path – where to save the transformed file.
- Returns:
None.