Export overview

# Set the export params to include/exclude certain fields. Make sure each of these fields are correctly grabbed 
export_params= {
  "attachments": True,
  "metadata_fields": True,
  "data_row_details": True,
  "project_details": True,
  "label_details": True,
  "performance_details": True
}

# You can set the range for last_activity_at and label_created_at. You can also set a list of data 
# row ids to export. 
# For context, last_activity_at captures the creation and modification of labels, metadata, status, comments and reviews.

# Note: Combinations of filters apply AND logic.
filters= {
  "last_activity_at": ["2000-01-01 00:00:00", "2050-01-01 00:00:00"],
  "label_created_at": ["2000-01-01 00:00:00", "2050-01-01 00:00:00"],
  "workflow_status": "InReview",
  "data_row_ids": ["data_row_id_1", "data_row_id_2"],
  "global_keys": ["global_key_1", "global_key_2"]
}

export_task = project.export_v2(params=export_params, filters=filters)
export_task.wait_till_done()

if export_task.errors:
  print(export_task.errors)

export_json = export_task.result
print("results: ", export_json)

labels = project.label_generator()

## Alternatively you can specify date range to export desired labels from a project
labels = project.label_generator(start="2020-01-01", end="2020-01-02")

for label in labels:
  print(label.annotations)

# Set the export params to include/exclude certain fields. Make sure each of these fields are correctly grabbed 
export_params= {
    "attachments": True,
    "metadata_fields": True,
    "data_row_details": True,
    "project_details": True,
  	"label_details": True,
    "performance_details": True,
    "project_ids": ["<project_id_1>", "<project_id_2>"],
    "model_run_ids": ["<model_run_id_1>", "<model_run_id_2>"]
}

# You can set the range for last_activity_at
# For context, last_activity_at captures the creation and modification of labels, metadata, status, comments and reviews.
# Note: This is an AND logic between the filters, so usually using one filter is sufficient.

filters= {
  "last_activity_at": ["2000-01-01 00:00:00", "2050-01-01 00:00:00"]
}

dataset = client.get_dataset("<dataset_id>")
export_task = dataset.export_v2(params=export_params, filters=filters)
export_task.wait_till_done()
if export_task.errors:
  print(export_task.errors)
export_json = export_task.result
print("results: ", export_json)

# Set the export params to include/exclude certain fields. Make sure each of these fields are correctly grabbed 
export_params= {
    "attachments": True,
    "metadata_fields": True,
    "data_row_details": True,
    "project_details": True,
  	"label_details": True,
    "performance_details": True,
    "project_ids": ["<project_id_1>", "<project_id_2>"],
    "model_run_ids": ["<model_run_id_1>", "<model_run_id_2>"]
}

# Put the selected data rows into a filter, then it will only export those data rows
filters= {
  "data_row_ids": ["data_row_id_1", "data_row_id_2"],
  "global_keys": ["global_key_1", "global_key_2"]
}

export_task = dataset.export_v2(params=export_params, filters=filters)
export_task.wait_till_done()
if export_task.errors:
  print(export_task.errors)
export_json = export_task.result
print("results: ", export_json)

# Set the export params to include/exclude certain fields. Make sure each of these fields are correctly grabbed 
export_params= {
    "attachments": True,
    "metadata_fields": True,
    "data_row_details": True,
    "project_details": True,
  	"label_details": True,
    "performance_details": True,
    "project_ids": ["<project_id_1>", "<project_id_2>"],
    "model_run_ids": ["<model_run_id_1>", "<model_run_id_2>"]
}

catalog_slice = client.get_catalog_slice("<slice_id>")
export_task = catalog_slice.export_v2(params=export_params)
export_task.wait_till_done()
if export_task.errors:
  print(export_task.errors)
export_json = export_task.result
print("results: ", export_json)

# Set the export params to include/exclude certain fields. Make sure each of these fields are correctly grabbed 
export_params= {
    "attachments": True,
    "metadata_fields": True,
    "data_row_details": True
}

export_task = model_run.export_v2(params=export_params)
export_task.wait_till_done()
print(export_task.errors)
export_json = export_task.result

# Turn on the experimental mode of the SDK
client.enable_experimental=True

# If download=False, this returns the URLs of the data files associated with this ModelRun’s labels.
download = False
model_run.export_labels(download=download)
# If download=True, this instead returns the contents as NDJSON format.
download = True
model_run.export_labels(download=download)