JobsApi class reference

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    job_write_request = JobWriteRequest(
        assignee=1,
        stage=JobStage("annotation"),
        state=OperationStatus("new"),
        type=JobType("annotation"),
        task_id=1,
        frame_selection_method=FrameSelectionMethod("random_uniform"),
        frame_count=1,
        frame_share=3.14,
        frames_per_job_count=1,
        frames_per_job_share=3.14,
        random_seed=0,
        seed=0,
        frames=[
            0,
        ],
    ) # JobWriteRequest | 

    try:
        (data, response) = api_client.jobs_api.create(
            job_write_request,)
        pprint(data)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.create(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    id = 1 # int | A unique integer value identifying this job.
    cloud_storage_id = 1 # int | Storage id (optional)
    filename = "filename_example" # str | Annotation file name (optional)
    format = "format_example" # str | Input format name You can get the list of supported formats at: /server/annotation/formats (optional)
    location = "cloud_storage" # str | where to import the annotation from (optional)
    use_default_location = True # bool | Use the location that was configured in the task to import annotation (optional) if omitted the server will use the default value of True
    annotation_file_request = AnnotationFileRequest(
        annotation_file=open('/path/to/file', 'rb'),
    ) # AnnotationFileRequest |  (optional)

    try:
        api_client.jobs_api.create_annotations(
            id,
            cloud_storage_id=cloud_storage_id,
            filename=filename,
            format=format,
            location=location,
            use_default_location=use_default_location,
            annotation_file_request=annotation_file_request,
        )
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.create_annotations(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    format = "format_example" # str | Desired output format name You can get the list of supported formats at: /server/annotation/formats
    id = 1 # int | A unique integer value identifying this job.
    cloud_storage_id = 1 # int | Storage id (optional)
    filename = "filename_example" # str | Desired output file name (optional)
    location = "cloud_storage" # str | Where need to save downloaded dataset (optional)
    save_images = False # bool | Include images or not (optional) if omitted the server will use the default value of False

    try:
        (data, response) = api_client.jobs_api.create_dataset_export(
            format,
            id,
            cloud_storage_id=cloud_storage_id,
            filename=filename,
            location=location,
            save_images=save_images,
        )
        pprint(data)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.create_dataset_export(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    id = 1 # int | A unique integer value identifying this job.

    try:
        api_client.jobs_api.destroy(
            id,)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.destroy(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    id = 1 # int | A unique integer value identifying this job.

    try:
        api_client.jobs_api.destroy_annotations(
            id,)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.destroy_annotations(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    x_organization = "X-Organization_example" # str | Organization unique slug (optional)
    assignee = "assignee_example" # str | A simple equality filter for the assignee field (optional)
    dimension = "3d" # str | A simple equality filter for the dimension field (optional)
    filter = "filter_example" # str |  JSON Logic filter. This filter can be used to perform complex filtering by grouping rules.  For example, using such a filter you can get all resources created by you:      - {\"and\":[{\"==\":[{\"var\":\"owner\"},\"<user>\"]}]}  Details about the syntax used can be found at the link: https://jsonlogic.com/   Available filter_fields: ['task_name', 'project_name', 'assignee', 'state', 'stage', 'id', 'task_id', 'project_id', 'updated_date', 'dimension', 'type']. (optional)
    org = "org_example" # str | Organization unique slug (optional)
    org_id = 1 # int | Organization identifier (optional)
    page = 1 # int | A page number within the paginated result set. (optional)
    page_size = 1 # int | Number of results to return per page. (optional)
    project_id = 1 # int | A simple equality filter for the project_id field (optional)
    project_name = "project_name_example" # str | A simple equality filter for the project_name field (optional)
    search = "search_example" # str | A search term. Available search_fields: ('task_name', 'project_name', 'assignee', 'state', 'stage') (optional)
    sort = "sort_example" # str | Which field to use when ordering the results. Available ordering_fields: ['task_name', 'project_name', 'assignee', 'state', 'stage', 'id', 'task_id', 'project_id', 'updated_date', 'dimension', 'type'] (optional)
    stage = "annotation" # str | A simple equality filter for the stage field (optional)
    state = "new" # str | A simple equality filter for the state field (optional)
    task_id = 1 # int | A simple equality filter for the task_id field (optional)
    task_name = "task_name_example" # str | A simple equality filter for the task_name field (optional)
    type = "annotation" # str | A simple equality filter for the type field (optional)

    try:
        (data, response) = api_client.jobs_api.list(
            x_organization=x_organization,
            assignee=assignee,
            dimension=dimension,
            filter=filter,
            org=org,
            org_id=org_id,
            page=page,
            page_size=page_size,
            project_id=project_id,
            project_name=project_name,
            search=search,
            sort=sort,
            stage=stage,
            state=state,
            task_id=task_id,
            task_name=task_name,
            type=type,
        )
        pprint(data)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.list(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    id = 1 # int | A unique integer value identifying this job.
    patched_job_write_request = PatchedJobWriteRequest(
        assignee=1,
        stage=JobStage("annotation"),
        state=OperationStatus("new"),
    ) # PatchedJobWriteRequest |  (optional)

    try:
        (data, response) = api_client.jobs_api.partial_update(
            id,
            patched_job_write_request=patched_job_write_request,
        )
        pprint(data)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.partial_update(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    action = "create" # str | 
    id = 1 # int | A unique integer value identifying this job.
    patched_labeled_data_request = PatchedLabeledDataRequest(
        version=0,
        tags=[
            LabeledImageRequest(
                id=1,
                frame=0,
                label_id=0,
                group=0,
                source="manual",
                attributes=[
                    AttributeValRequest(
                        spec_id=1,
                        value="value_example",
                    ),
                ],
            ),
        ],
        shapes=[
            LabeledShapeRequest(
                type=ShapeType("rectangle"),
                occluded=False,
                outside=False,
                z_order=0,
                rotation=0.0,
                points=[
                    3.14,
                ],
                id=1,
                frame=0,
                label_id=0,
                group=0,
                source="manual",
                attributes=[
                    AttributeValRequest(
                        spec_id=1,
                        value="value_example",
                    ),
                ],
                elements=[
                    SubLabeledShapeRequest(
                        type=ShapeType("rectangle"),
                        occluded=False,
                        outside=False,
                        z_order=0,
                        rotation=0.0,
                        points=[
                            3.14,
                        ],
                        id=1,
                        frame=0,
                        label_id=0,
                        group=0,
                        source="manual",
                        attributes=[
                            AttributeValRequest(
                                spec_id=1,
                                value="value_example",
                            ),
                        ],
                    ),
                ],
            ),
        ],
        tracks=[
            LabeledTrackRequest(
                id=1,
                frame=0,
                label_id=0,
                group=0,
                source="manual",
                shapes=[
                    TrackedShapeRequest(
                        type=ShapeType("rectangle"),
                        occluded=False,
                        outside=False,
                        z_order=0,
                        rotation=0.0,
                        points=[
                            3.14,
                        ],
                        id=1,
                        frame=0,
                        attributes=[
                            AttributeValRequest(
                                spec_id=1,
                                value="value_example",
                            ),
                        ],
                    ),
                ],
                attributes=[
                    AttributeValRequest(
                        spec_id=1,
                        value="value_example",
                    ),
                ],
                elements=[
                    SubLabeledTrackRequest(
                        id=1,
                        frame=0,
                        label_id=0,
                        group=0,
                        source="manual",
                        shapes=[
                            TrackedShapeRequest(
                                type=ShapeType("rectangle"),
                                occluded=False,
                                outside=False,
                                z_order=0,
                                rotation=0.0,
                                points=[
                                    3.14,
                                ],
                                id=1,
                                frame=0,
                                attributes=[
                                    AttributeValRequest(
                                        spec_id=1,
                                        value="value_example",
                                    ),
                                ],
                            ),
                        ],
                        attributes=[
                            AttributeValRequest(
                                spec_id=1,
                                value="value_example",
                            ),
                        ],
                    ),
                ],
            ),
        ],
    ) # PatchedLabeledDataRequest |  (optional)

    try:
        api_client.jobs_api.partial_update_annotations(
            action,
            id,
            patched_labeled_data_request=patched_labeled_data_request,
        )
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.partial_update_annotations(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    id = 1 # int | A unique integer value identifying this job.
    patched_job_data_meta_write_request = PatchedJobDataMetaWriteRequest(
        deleted_frames=[
            0,
        ],
    ) # PatchedJobDataMetaWriteRequest |  (optional)

    try:
        (data, response) = api_client.jobs_api.partial_update_data_meta(
            id,
            patched_job_data_meta_write_request=patched_job_data_meta_write_request,
        )
        pprint(data)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.partial_update_data_meta(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    id = 1 # int | A unique integer value identifying this job.
    patched_job_validation_layout_write_request = PatchedJobValidationLayoutWriteRequest(
        frame_selection_method=None,
        honeypot_real_frames=[
            0,
        ],
    ) # PatchedJobValidationLayoutWriteRequest |  (optional)

    try:
        (data, response) = api_client.jobs_api.partial_update_validation_layout(
            id,
            patched_job_validation_layout_write_request=patched_job_validation_layout_write_request,
        )
        pprint(data)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.partial_update_validation_layout(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    id = 1 # int | A unique integer value identifying this job.

    try:
        (data, response) = api_client.jobs_api.retrieve(
            id,)
        pprint(data)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.retrieve(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    id = 1 # int | A unique integer value identifying this job.
    action = "download" # str | Used to start downloading process locally after annotation file has been created (optional) if omitted the server will use the default value of "download"
    cloud_storage_id = 1 # int | Storage id (optional)
    filename = "filename_example" # str | Desired output file name (optional)
    format = "format_example" # str | Desired output format name You can get the list of supported formats at: /server/annotation/formats (optional)
    location = "cloud_storage" # str | Where need to save downloaded annotation (optional)
    use_default_location = True # bool | Use the location that was configured in the task to export annotation (optional) if omitted the server will use the default value of True

    try:
        (data, response) = api_client.jobs_api.retrieve_annotations(
            id,
            action=action,
            cloud_storage_id=cloud_storage_id,
            filename=filename,
            format=format,
            location=location,
            use_default_location=use_default_location,
        )
        pprint(data)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.retrieve_annotations(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    id = 1 # int | A unique integer value identifying this job.
    index = 1 # int | A unique number value identifying chunk, starts from 0 for each job (optional)
    number = 1 # int | A unique number value identifying chunk or frame. The numbers are the same as for the task. Deprecated for chunks in favor of 'index' (optional)
    quality = "compressed" # str | Specifies the quality level of the requested data (optional)
    type = "chunk" # str | Specifies the type of the requested data (optional)

    try:
        (data, response) = api_client.jobs_api.retrieve_data(
            id,
            index=index,
            number=number,
            quality=quality,
            type=type,
        )
        pprint(data)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.retrieve_data(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    id = 1 # int | A unique integer value identifying this job.

    try:
        (data, response) = api_client.jobs_api.retrieve_data_meta(
            id,)
        pprint(data)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.retrieve_data_meta(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    format = "format_example" # str | Desired output format name You can get the list of supported formats at: /server/annotation/formats
    id = 1 # int | A unique integer value identifying this job.
    action = "download" # str | Used to start downloading process locally after annotation file has been created (optional) if omitted the server will use the default value of "download"
    cloud_storage_id = 1 # int | Storage id (optional)
    filename = "filename_example" # str | Desired output file name (optional)
    location = "cloud_storage" # str | Where need to save downloaded dataset (optional)
    use_default_location = True # bool | Use the location that was configured in the task to export dataset (optional) if omitted the server will use the default value of True

    try:
        (data, response) = api_client.jobs_api.retrieve_dataset(
            format,
            id,
            action=action,
            cloud_storage_id=cloud_storage_id,
            filename=filename,
            location=location,
            use_default_location=use_default_location,
        )
        pprint(data)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.retrieve_dataset(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    id = 1 # int | A unique integer value identifying this job.

    try:
        api_client.jobs_api.retrieve_preview(
            id,)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.retrieve_preview(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    id = 1 # int | A unique integer value identifying this job.

    try:
        (data, response) = api_client.jobs_api.retrieve_validation_layout(
            id,)
        pprint(data)
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.retrieve_validation_layout(): %s\n" % e)

from pprint import pprint

from cvat_sdk.api_client import Configuration, ApiClient, exceptions
from cvat_sdk.api_client.models import *

# Set up an API client
# Read Configuration class docs for more info about parameters and authentication methods
configuration = Configuration(
    host = "http://localhost",
    username = 'YOUR_USERNAME',
    password = 'YOUR_PASSWORD',
)

with ApiClient(configuration) as api_client:
    id = 1 # int | A unique integer value identifying this job.
    cloud_storage_id = 1 # int | Storage id (optional)
    filename = "filename_example" # str | Annotation file name (optional)
    format = "format_example" # str | Input format name You can get the list of supported formats at: /server/annotation/formats (optional)
    location = "cloud_storage" # str | where to import the annotation from (optional)
    rq_id = "rq_id_example" # str | rq id (optional)
    use_default_location = True # bool | Use the location that was configured in the task to import annotation (optional) if omitted the server will use the default value of True
    job_annotations_update_request = JobAnnotationsUpdateRequest(None) # JobAnnotationsUpdateRequest |  (optional)

    try:
        api_client.jobs_api.update_annotations(
            id,
            cloud_storage_id=cloud_storage_id,
            filename=filename,
            format=format,
            location=location,
            rq_id=rq_id,
            use_default_location=use_default_location,
            job_annotations_update_request=job_annotations_update_request,
        )
    except exceptions.ApiException as e:
        print("Exception when calling JobsApi.update_annotations(): %s\n" % e)