import elements_sdk
from elements_sdk.api import ai_api
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Model.

    # example passing only required values which don't have defaults set
    try:
        api_instance.abort_ai_dataset_model_creation(id)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->abort_ai_dataset_model_creation: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Model.

    # example passing only required values which don't have defaults set
    try:
        api_instance.activate_ai_model(id)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->activate_ai_model: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_annotation import AIAnnotation
from elements_sdk.model.ai_annotation_create_request import AIAnnotationCreateRequest
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    ai_annotation_create_request = AIAnnotationCreateRequest(
        proxy=1,
        category="category_example",
        frame=1,
        relative_left=3.14,
        relative_top=3.14,
        relative_width=3.14,
        relative_height=3.14,
    ) # AIAnnotationCreateRequest | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.create_ai_annotation_track(ai_annotation_create_request)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->create_ai_annotation_track: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_category_detail import AICategoryDetail
from elements_sdk.model.ai_category_detail_update import AICategoryDetailUpdate
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    ai_category_detail_update = AICategoryDetailUpdate(
        dataset=AIDatasetDetailReference(
            id="id_example",
            training_model=AIModel(
                id="id_example",
                progress=AIModelProgress(
                    status={
                        "key": "key_example",
                    },
                    eta=dateutil_parser('1970-01-01T00:00:00.00Z'),
                ),
                dataset=AIDatasetReference(
                    id="id_example",
                ),
                parameters={
                    "key": "key_example",
                },
                name="name_example",
                training_task_id="training_task_id_example",
                threshold=3.14,
                epoch=-2147483648,
                preprocessing_task="preprocessing_task_example",
            ),
            last_finished_model=AIModel(
                id="id_example",
                progress=AIModelProgress(
                    status={
                        "key": "key_example",
                    },
                    eta=dateutil_parser('1970-01-01T00:00:00.00Z'),
                ),
                dataset=AIDatasetReference(
                    id="id_example",
                ),
                parameters={
                    "key": "key_example",
                },
                name="name_example",
                training_task_id="training_task_id_example",
                threshold=3.14,
                epoch=-2147483648,
                preprocessing_task="preprocessing_task_example",
            ),
        ),
        name="name_example",
    ) # AICategoryDetailUpdate | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.create_ai_category(ai_category_detail_update)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->create_ai_category: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_dataset_with_preview import AIDatasetWithPreview
from elements_sdk.model.ai_dataset_with_preview_update import AIDatasetWithPreviewUpdate
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    ai_dataset_with_preview_update = AIDatasetWithPreviewUpdate(
        name="name_example",
        type="normal",
        connection=1,
    ) # AIDatasetWithPreviewUpdate | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.create_ai_dataset(ai_dataset_with_preview_update)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->create_ai_dataset: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_model import AIModel
from elements_sdk.model.ai_model_training_request import AIModelTrainingRequest
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    ai_model_training_request = AIModelTrainingRequest(
        name="name_example",
        dataset="dataset_example",
        categories=[
            "categories_example",
        ],
        continue_from="continue_from_example",
        parameters={
            "key": "key_example",
        },
    ) # AIModelTrainingRequest | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.create_ai_dataset_model(ai_model_training_request)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->create_ai_dataset_model: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_processing_request import AIProcessingRequest
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    ai_processing_request = AIProcessingRequest(
        assets=[
            1,
        ],
        directories=[
            1,
        ],
        datasets=[
            "datasets_example",
        ],
        preferred_proxy_profile=1,
    ) # AIProcessingRequest | 

    # example passing only required values which don't have defaults set
    try:
        api_instance.create_ai_metadata(ai_processing_request)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->create_ai_metadata: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_model import AIModel
from elements_sdk.model.ai_model_update import AIModelUpdate
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    ai_model_update = AIModelUpdate(
        dataset=AIDatasetReference(
            id="id_example",
        ),
        parameters={
            "key": "key_example",
        },
        name="name_example",
        training_task_id="training_task_id_example",
        threshold=3.14,
        epoch=-2147483648,
        preprocessing_task="preprocessing_task_example",
    ) # AIModelUpdate | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.create_ai_model(ai_model_update)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->create_ai_model: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Annotation.

    # example passing only required values which don't have defaults set
    try:
        api_instance.delete_ai_annotation(id)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->delete_ai_annotation: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Annotation.

    # example passing only required values which don't have defaults set
    try:
        api_instance.delete_ai_annotation_track(id)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->delete_ai_annotation_track: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Category.

    # example passing only required values which don't have defaults set
    try:
        api_instance.delete_ai_category(id)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->delete_ai_category: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Dataset.

    # example passing only required values which don't have defaults set
    try:
        api_instance.delete_ai_dataset(id)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->delete_ai_dataset: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Model.

    # example passing only required values which don't have defaults set
    try:
        api_instance.delete_ai_model(id)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->delete_ai_model: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_dataset_export_response import AIDatasetExportResponse
from elements_sdk.model.ai_dataset_export_request import AIDatasetExportRequest
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Dataset.
    ai_dataset_export_request = AIDatasetExportRequest(
        path="path_example",
    ) # AIDatasetExportRequest | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.export_ai_dataset(id, ai_dataset_export_request)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->export_ai_dataset: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_model_export_response import AIModelExportResponse
from elements_sdk.model.ai_model_export_request import AIModelExportRequest
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Model.
    ai_model_export_request = AIModelExportRequest(
        path="path_example",
    ) # AIModelExportRequest | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.export_ai_model(id, ai_model_export_request)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->export_ai_model: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_annotation import AIAnnotation
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Annotation.
    include_transforms_for_asset = 1 # int |  (optional)

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.get_ai_annotation(id)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_ai_annotation: %s\n" % e)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        api_response = api_instance.get_ai_annotation(id, include_transforms_for_asset=include_transforms_for_asset)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_ai_annotation: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Annotation.

    # example passing only required values which don't have defaults set
    try:
        api_instance.get_ai_annotation_image(id)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_ai_annotation_image: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_category_detail import AICategoryDetail
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Category.

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.get_ai_category(id)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_ai_category: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_connection import AIConnection
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = 1 # int | A unique integer value identifying this AI Connection.

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.get_ai_connection(id)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_ai_connection: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_dataset_with_preview import AIDatasetWithPreview
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Dataset.

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.get_ai_dataset(id)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_ai_dataset: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_image import AIImage
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Image.

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.get_ai_image(id)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_ai_image: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Image.

    # example passing only required values which don't have defaults set
    try:
        api_instance.get_ai_image_content(id)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_ai_image_content: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_metadata import AIMetadata
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = 1 # int | A unique integer value identifying this AI Metadata.

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.get_ai_metadata(id)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_ai_metadata: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_model import AIModel
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Model.

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.get_ai_model(id)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_ai_model: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_annotation import AIAnnotation
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    category = "category_example" # str | Filter the returned list by `category`. (optional)
    image__dataset = "image__dataset_example" # str | Filter the returned list by `image__dataset`. (optional)
    track = "track_example" # str | Filter the returned list by `track`. (optional)
    image = "image_example" # str | Filter the returned list by `image`. (optional)
    ordering = "ordering_example" # str | Which field to use when ordering the results. (optional)
    limit = 1 # int | Number of results to return per page. (optional)
    offset = 1 # int | The initial index from which to return the results. (optional)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        api_response = api_instance.get_all_ai_annotation_tracks(category=category, image__dataset=image__dataset, track=track, image=image, ordering=ordering, limit=limit, offset=offset)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_all_ai_annotation_tracks: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_annotation import AIAnnotation
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    category = "category_example" # str | Filter the returned list by `category`. (optional)
    image__dataset = "image__dataset_example" # str | Filter the returned list by `image__dataset`. (optional)
    image__asset = 1 # int | Filter the returned list by `image__asset`. (optional)
    track = "track_example" # str | Filter the returned list by `track`. (optional)
    image = "image_example" # str | Filter the returned list by `image`. (optional)
    ordering = "ordering_example" # str | Which field to use when ordering the results. (optional)
    limit = 1 # int | Number of results to return per page. (optional)
    offset = 1 # int | The initial index from which to return the results. (optional)
    include_transforms_for_asset = 1 # int |  (optional)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        api_response = api_instance.get_all_ai_annotations(category=category, image__dataset=image__dataset, image__asset=image__asset, track=track, image=image, ordering=ordering, limit=limit, offset=offset, include_transforms_for_asset=include_transforms_for_asset)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_all_ai_annotations: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_category import AICategory
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    dataset = "dataset_example" # str | Filter the returned list by `dataset`. (optional)
    name = "name_example" # str | Filter the returned list by `name`. (optional)
    ordering = "ordering_example" # str | Which field to use when ordering the results. (optional)
    limit = 1 # int | Number of results to return per page. (optional)
    offset = 1 # int | The initial index from which to return the results. (optional)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        api_response = api_instance.get_all_ai_categories(dataset=dataset, name=name, ordering=ordering, limit=limit, offset=offset)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_all_ai_categories: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_connection import AIConnection
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    ordering = "ordering_example" # str | Which field to use when ordering the results. (optional)
    limit = 1 # int | Number of results to return per page. (optional)
    offset = 1 # int | The initial index from which to return the results. (optional)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        api_response = api_instance.get_all_ai_connections(ordering=ordering, limit=limit, offset=offset)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_all_ai_connections: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_dataset_with_preview import AIDatasetWithPreview
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    connection = 1 # int | Filter the returned list by `connection`. (optional)
    name = "name_example" # str | Filter the returned list by `name`. (optional)
    ordering = "ordering_example" # str | Which field to use when ordering the results. (optional)
    limit = 1 # int | Number of results to return per page. (optional)
    offset = 1 # int | The initial index from which to return the results. (optional)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        api_response = api_instance.get_all_ai_datasets(connection=connection, name=name, ordering=ordering, limit=limit, offset=offset)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_all_ai_datasets: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_image import AIImage
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    dataset = "dataset_example" # str | Filter the returned list by `dataset`. (optional)
    ordering = "ordering_example" # str | Which field to use when ordering the results. (optional)
    limit = 1 # int | Number of results to return per page. (optional)
    offset = 1 # int | The initial index from which to return the results. (optional)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        api_response = api_instance.get_all_ai_images(dataset=dataset, ordering=ordering, limit=limit, offset=offset)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_all_ai_images: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_metadata import AIMetadata
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    asset = 1 # int | Filter the returned list by `asset`. (optional)
    id = 3.14 # float | Filter the returned list by `id`. (optional)
    ordering = "ordering_example" # str | Which field to use when ordering the results. (optional)
    limit = 1 # int | Number of results to return per page. (optional)
    offset = 1 # int | The initial index from which to return the results. (optional)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        api_response = api_instance.get_all_ai_metadata(asset=asset, id=id, ordering=ordering, limit=limit, offset=offset)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_all_ai_metadata: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_model import AIModel
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    dataset = "dataset_example" # str | Filter the returned list by `dataset`. (optional)
    ordering = "ordering_example" # str | Which field to use when ordering the results. (optional)
    limit = 1 # int | Number of results to return per page. (optional)
    offset = 1 # int | The initial index from which to return the results. (optional)

    # example passing only required values which don't have defaults set
    # and optional values
    try:
        api_response = api_instance.get_all_ai_models(dataset=dataset, ordering=ordering, limit=limit, offset=offset)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->get_all_ai_models: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.import_ai_dataset_response import ImportAIDatasetResponse
from elements_sdk.model.import_ai_dataset_request import ImportAIDatasetRequest
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    import_ai_dataset_request = ImportAIDatasetRequest(
        connection=1,
        path="path_example",
        replace=True,
        rename="rename_example",
    ) # ImportAIDatasetRequest | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.import_ai_datasets(import_ai_dataset_request)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->import_ai_datasets: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.import_ai_model_request import ImportAIModelRequest
from elements_sdk.model.import_ai_model_response import ImportAIModelResponse
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Dataset.
    import_ai_model_request = ImportAIModelRequest(
        path="path_example",
    ) # ImportAIModelRequest | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.import_ai_models(id, import_ai_model_request)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->import_ai_models: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_annotation_partial_update import AIAnnotationPartialUpdate
from elements_sdk.model.ai_annotation import AIAnnotation
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Annotation.
    ai_annotation_partial_update = AIAnnotationPartialUpdate(
        image=AIImageReference(
            id="id_example",
        ),
        category=AICategoryMiniReference(
            id="id_example",
        ),
        relative_left=3.14,
        relative_top=3.14,
        relative_width=3.14,
        relative_height=3.14,
        track="track_example",
        created_by=1,
    ) # AIAnnotationPartialUpdate | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.patch_ai_annotation(id, ai_annotation_partial_update)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->patch_ai_annotation: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_category_detail import AICategoryDetail
from elements_sdk.model.ai_category_detail_partial_update import AICategoryDetailPartialUpdate
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Category.
    ai_category_detail_partial_update = AICategoryDetailPartialUpdate(
        dataset=AIDatasetDetailReference(
            id="id_example",
            training_model=AIModel(
                id="id_example",
                progress=AIModelProgress(
                    status={
                        "key": "key_example",
                    },
                    eta=dateutil_parser('1970-01-01T00:00:00.00Z'),
                ),
                dataset=AIDatasetReference(
                    id="id_example",
                ),
                parameters={
                    "key": "key_example",
                },
                name="name_example",
                training_task_id="training_task_id_example",
                threshold=3.14,
                epoch=-2147483648,
                preprocessing_task="preprocessing_task_example",
            ),
            last_finished_model=AIModel(
                id="id_example",
                progress=AIModelProgress(
                    status={
                        "key": "key_example",
                    },
                    eta=dateutil_parser('1970-01-01T00:00:00.00Z'),
                ),
                dataset=AIDatasetReference(
                    id="id_example",
                ),
                parameters={
                    "key": "key_example",
                },
                name="name_example",
                training_task_id="training_task_id_example",
                threshold=3.14,
                epoch=-2147483648,
                preprocessing_task="preprocessing_task_example",
            ),
        ),
        name="name_example",
    ) # AICategoryDetailPartialUpdate | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.patch_ai_category(id, ai_category_detail_partial_update)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->patch_ai_category: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_dataset_with_preview import AIDatasetWithPreview
from elements_sdk.model.ai_dataset_with_preview_partial_update import AIDatasetWithPreviewPartialUpdate
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Dataset.
    ai_dataset_with_preview_partial_update = AIDatasetWithPreviewPartialUpdate(
        name="name_example",
        type="normal",
        connection=1,
    ) # AIDatasetWithPreviewPartialUpdate | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.patch_ai_dataset(id, ai_dataset_with_preview_partial_update)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->patch_ai_dataset: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_model import AIModel
from elements_sdk.model.ai_model_partial_update import AIModelPartialUpdate
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Model.
    ai_model_partial_update = AIModelPartialUpdate(
        dataset=AIDatasetReference(
            id="id_example",
        ),
        parameters={
            "key": "key_example",
        },
        name="name_example",
        training_task_id="training_task_id_example",
        threshold=3.14,
        epoch=-2147483648,
        preprocessing_task="preprocessing_task_example",
    ) # AIModelPartialUpdate | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.patch_ai_model(id, ai_model_partial_update)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->patch_ai_model: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_model_inference_request import AIModelInferenceRequest
from elements_sdk.model.ai_model_inference_response import AIModelInferenceResponse
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Model.
    ai_model_inference_request = AIModelInferenceRequest(
        proxy=1,
        frame_start=1,
        frame_end=1,
        frame_step=1,
        skip_step=1,
        combine_threshold=1,
    ) # AIModelInferenceRequest | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.run_ai_model_inference(id, ai_model_inference_request)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->run_ai_model_inference: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_annotation_update import AIAnnotationUpdate
from elements_sdk.model.ai_annotation import AIAnnotation
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Annotation.
    ai_annotation_update = AIAnnotationUpdate(
        image=AIImageReference(
            id="id_example",
        ),
        category=AICategoryMiniReference(
            id="id_example",
        ),
        relative_left=3.14,
        relative_top=3.14,
        relative_width=3.14,
        relative_height=3.14,
        track="track_example",
        created_by=1,
    ) # AIAnnotationUpdate | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.update_ai_annotation(id, ai_annotation_update)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->update_ai_annotation: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_category_detail import AICategoryDetail
from elements_sdk.model.ai_category_detail_update import AICategoryDetailUpdate
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Category.
    ai_category_detail_update = AICategoryDetailUpdate(
        dataset=AIDatasetDetailReference(
            id="id_example",
            training_model=AIModel(
                id="id_example",
                progress=AIModelProgress(
                    status={
                        "key": "key_example",
                    },
                    eta=dateutil_parser('1970-01-01T00:00:00.00Z'),
                ),
                dataset=AIDatasetReference(
                    id="id_example",
                ),
                parameters={
                    "key": "key_example",
                },
                name="name_example",
                training_task_id="training_task_id_example",
                threshold=3.14,
                epoch=-2147483648,
                preprocessing_task="preprocessing_task_example",
            ),
            last_finished_model=AIModel(
                id="id_example",
                progress=AIModelProgress(
                    status={
                        "key": "key_example",
                    },
                    eta=dateutil_parser('1970-01-01T00:00:00.00Z'),
                ),
                dataset=AIDatasetReference(
                    id="id_example",
                ),
                parameters={
                    "key": "key_example",
                },
                name="name_example",
                training_task_id="training_task_id_example",
                threshold=3.14,
                epoch=-2147483648,
                preprocessing_task="preprocessing_task_example",
            ),
        ),
        name="name_example",
    ) # AICategoryDetailUpdate | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.update_ai_category(id, ai_category_detail_update)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->update_ai_category: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_dataset_with_preview import AIDatasetWithPreview
from elements_sdk.model.ai_dataset_with_preview_update import AIDatasetWithPreviewUpdate
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Dataset.
    ai_dataset_with_preview_update = AIDatasetWithPreviewUpdate(
        name="name_example",
        type="normal",
        connection=1,
    ) # AIDatasetWithPreviewUpdate | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.update_ai_dataset(id, ai_dataset_with_preview_update)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->update_ai_dataset: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.ai_model import AIModel
from elements_sdk.model.ai_model_update import AIModelUpdate
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    id = "id_example" # str | A UUID string identifying this AI Model.
    ai_model_update = AIModelUpdate(
        dataset=AIDatasetReference(
            id="id_example",
        ),
        parameters={
            "key": "key_example",
        },
        name="name_example",
        training_task_id="training_task_id_example",
        threshold=3.14,
        epoch=-2147483648,
        preprocessing_task="preprocessing_task_example",
    ) # AIModelUpdate | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.update_ai_model(id, ai_model_update)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->update_ai_model: %s\n" % e)

import elements_sdk
from elements_sdk.api import ai_api
from elements_sdk.model.upload_ai_image_request import UploadAIImageRequest
from elements_sdk.model.ai_image import AIImage
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.
configuration = elements_sdk.Configuration(
    host="https://elements.local:8080",
    discard_unknown_keys=True,
)

configuration.client_side_validation = False
configuration.api_key['Bearer'] = 'Bearer your-api-token-here'

with elements_sdk.ApiClient(configuration) as api_client:
    api_instance = ai_api.AIApi(api_client)
    upload_ai_image_request = UploadAIImageRequest(
        content="content_example",
        category="category_example",
    ) # UploadAIImageRequest | 

    # example passing only required values which don't have defaults set
    try:
        api_response = api_instance.upload_ai_image(upload_ai_image_request)
        pprint(api_response)
    except elements_sdk.ApiException as e:
        print("Exception when calling AIApi->upload_ai_image: %s\n" % e)