GET /api/etl_dataset/?format=api
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

[
    {
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        "dataset_base_directory_path": "UNSET",
        "additional_json": "{}",
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    {
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    {
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    {
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    {
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        "tds_region": "UNKNOWN_REGION",
        "tds_spatial_resolution": "UNKNOWN_SPATIAL_RESOLUTION",
        "tds_temporal_resolution": "UNKNOWN_TEMPORAL_RESOLUTION",
        "dataset_legacy_datatype": "9999",
        "dataset_nc4_variable_name": "susm",
        "is_lat_order_reversed": false,
        "dataset_base_directory_path": "UNSET",
        "additional_json": "{}",
        "created_at": "2022-04-14T20:41:19.683887Z",
        "created_by": "Table_Default_Process",
        "is_test_object": false
    },
    {
        "uuid": "51f47588-3a30-4bdf-975d-4843b63d5e61",
        "dataset_name": "USDA SMAP susma",
        "dataset_subtype": "usda_smap",
        "is_pipeline_enabled": false,
        "is_pipeline_active": false,
        "capabilities": "{}",
        "temp_working_dir": "/mnt/cs-temp/usda_smap/",
        "final_load_dir": "/mnt/climateserv/usda-smap/global/10km/3dy/",
        "source_url": "https://gimms.gsfc.nasa.gov/SMOS/SMAP/SMAP_10KM_tiff/",
        "tds_product_name": "UNKNOWN_PRODUCT_NAME",
        "tds_region": "UNKNOWN_REGION",
        "tds_spatial_resolution": "UNKNOWN_SPATIAL_RESOLUTION",
        "tds_temporal_resolution": "UNKNOWN_TEMPORAL_RESOLUTION",
        "dataset_legacy_datatype": "9999",
        "dataset_nc4_variable_name": "susma",
        "is_lat_order_reversed": false,
        "dataset_base_directory_path": "UNSET",
        "additional_json": "{}",
        "created_at": "2022-04-14T20:42:28.740564Z",
        "created_by": "Table_Default_Process",
        "is_test_object": false
    }
]
A Human Readable Custom Name to identify this dataset. Typically expected usage would be for Admin to set this name so they can quickly understand which data set they are looking at. They could also use the other TDS fields to understand exactly which dataset this refers to.
IMPORTANT: This setting is used by the pipeline to select which specific sub type script logic gets used to execute the ETL job. There are a set list of Subtypes, use python manage.py list_etl_dataset_subtypes to see a list of all subtypes.
Is this ETL Dataset currently set to 'enabled' for ETL Pipeline processing? If this is set to False, then when the ETL job runs to process this incoming data, the ETL pipeline for this process will be stopped before it makes an attempt. This is intended as a way for admin to just 'turn off' or 'turn on' a specific ETL job that has been setup.
Is this ETL Dataset currently being run through the ETL Pipeline? If this is set to True, that means an ETL job is actually running for this specific dataset and data ingestion is currently in progress. When a pipeline finishes (success or error) this value should be set to False by the pipeline code.
Set Automatically by ETL Pipeline. Please don't touch this! Messing with this will likely result in broken content elsewhere in the system. This is a field to hold Dataset specific information that the clientside code may need access to in order to properly render the details from this dataset. (In ClimateSERV 1.0, some of this was a GeoReference, Time/Date Ranges, and other information.)
The local filesystem place to store data
The local filesystem place to store the final NC4 files (The THREDDS monitored Directory location)
The remote location
The Product name as defined on the THREDDS Data Server (TDS) Conventions Document. Example Value: 'EMODIS-NDVI'
The Region as defined on the THREDDS Data Server (TDS) Conventions Document. Example Value: 'Global'
The Spatial Resolution as defined on the THREDDS Data Server (TDS) Conventions Document. Example Value: '250m'
The Temporal Resolution as defined on the THREDDS Data Server (TDS) Conventions Document. Example Value: '2mon'
The 'datatype' number from ClimateSERV 1.0. This is mapped in support of Legacy API Requests
To select data from an NC4 file requires a variable name. This is the field where a variable name must be set for the selection from NC4 file to work properly.
Some datasets have their lat order reversed. The downstream affect of this has to do with NC4 data selection. If this flag is set to True then we use, latitude=slice(max_Lat, min_Lat), if it is set to false, then the selection uses latitude=slice(min_Lat, max_Lat) - Note, at the time of this writing, NDVI types should be set to False
This is a field that tells the job processing code where to look to find ALL of the NetCDF files (NC4 files) for this dataset. In many cases (at this time all cases) this is the same as the setting for the THREDDS output directory. This is an absolute path which means the directory path should begin with /. The code that uses this also expects a / at the end of the directory name.
Extra data field. Please don't touch this! Messing with this will likely result in broken content elsewhere in the system.
Who or What Process created this record? 90 chars max
Is this Instance meant to be used ONLY for internal platform testing? (Used only for easy cleanup - DO NOT DEPEND ON FOR VALIDATION)