def __init__(self, token: str, dataset_id: str = None, embedding_id: str = None):
self.check_version_compatibility()
configuration = Configuration()
configuration.host = getenv('LIGHTLY_SERVER_LOCATION', 'https://api.lightly.ai')
configuration.api_key = {'token': token}
api_client = ApiClient(configuration=configuration)
self.api_client = api_client
self.token = token
if dataset_id is not None:
self._dataset_id = dataset_id
if embedding_id is not None:
self.embedding_id = embedding_id
self.datasets_api = DatasetsApi(api_client=self.api_client)
self.samplings_api = SamplingsApi(api_client=self.api_client)
self.jobs_api = JobsApi(api_client=self.api_client)
self.tags_api = TagsApi(api_client=self.api_client)
self.embeddings_api = EmbeddingsApi(api_client=api_client)
self.mappings_api = MappingsApi(api_client=api_client)
self.scores_api = ScoresApi(api_client=api_client)
self.samples_api = SamplesApi(api_client=api_client)
self.quota_api = QuotaApi(api_client=api_client)
def get_versioning_api() -> VersioningApi:
configuration = Configuration()
configuration.host = getenv('LIGHTLY_SERVER_LOCATION',
'https://api.lightly.ai')
api_client = ApiClient(configuration=configuration)
versioning_api = VersioningApi(api_client)
return versioning_api
def __init__(self,
id=None,
name=None,
is_processed=None,
created_at=None,
is2d=None,
_configuration=None): # noqa: E501
"""DatasetEmbeddingData - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._id = None
self._name = None
self._is_processed = None
self._created_at = None
self._is2d = None
self.discriminator = None
self.id = id
self.name = name
self.is_processed = is_processed
self.created_at = created_at
if is2d is not None:
self.is2d = is2d
def __init__(self,
id=None,
name=None,
type=None,
img_type=None,
n_samples=None,
size_in_bytes=None,
created_at=None,
last_modified_at=None,
_configuration=None): # noqa: E501
"""DatasetData - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._id = None
self._name = None
self._type = None
self._img_type = None
self._n_samples = None
self._size_in_bytes = None
self._created_at = None
self._last_modified_at = None
self.discriminator = None
self.id = id
self.name = name
self.type = type
if img_type is not None:
self.img_type = img_type
self.n_samples = n_samples
self.size_in_bytes = size_in_bytes
self.created_at = created_at
self.last_modified_at = last_modified_at
def __init__(self,
file_name=None,
thumb_name=None,
exif=None,
meta_data=None,
custom_meta_data=None,
_configuration=None): # noqa: E501
"""SampleUpdateRequest - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._file_name = None
self._thumb_name = None
self._exif = None
self._meta_data = None
self._custom_meta_data = None
self.discriminator = None
if file_name is not None:
self.file_name = file_name
if thumb_name is not None:
self.thumb_name = thumb_name
if exif is not None:
self.exif = exif
if meta_data is not None:
self.meta_data = meta_data
if custom_meta_data is not None:
self.custom_meta_data = custom_meta_data
def __init__(self,
id=None,
dataset_id=None,
embedding_id=None,
name=None,
created_at=None,
dimensionality_reduction_method=None,
coordinates_dimension1=None,
coordinates_dimension2=None,
_configuration=None): # noqa: E501
"""Embedding2dData - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._id = None
self._dataset_id = None
self._embedding_id = None
self._name = None
self._created_at = None
self._dimensionality_reduction_method = None
self._coordinates_dimension1 = None
self._coordinates_dimension2 = None
self.discriminator = None
self.id = id
self.dataset_id = dataset_id
self.embedding_id = embedding_id
self.name = name
self.created_at = created_at
self.dimensionality_reduction_method = dimensionality_reduction_method
if coordinates_dimension1 is not None:
self.coordinates_dimension1 = coordinates_dimension1
if coordinates_dimension2 is not None:
self.coordinates_dimension2 = coordinates_dimension2
def __init__(self,
id=None,
job_id=None,
job_type=None,
status=None,
finished_at=None,
created_at=None,
_configuration=None): # noqa: E501
"""JobsData - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._id = None
self._job_id = None
self._job_type = None
self._status = None
self._finished_at = None
self._created_at = None
self.discriminator = None
self.id = id
self.job_id = job_id
self.job_type = job_type
self.status = status
if finished_at is not None:
self.finished_at = finished_at
self.created_at = created_at
def __init__(self,
new_tag_name=None,
method=None,
config=None,
preselected_tag_id=None,
query_tag_id=None,
row_count=None,
_configuration=None): # noqa: E501
"""SamplingCreateRequest - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._new_tag_name = None
self._method = None
self._config = None
self._preselected_tag_id = None
self._query_tag_id = None
self._row_count = None
self.discriminator = None
self.new_tag_name = new_tag_name
self.method = method
self.config = config
if preselected_tag_id is not None:
self.preselected_tag_id = preselected_tag_id
if query_tag_id is not None:
self.query_tag_id = query_tag_id
if row_count is not None:
self.row_count = row_count
def __init__(self,
name=None,
prev_tag_id=None,
bit_mask_data=None,
tot_size=None,
creator=None,
changes=None,
_configuration=None): # noqa: E501
"""TagCreateRequest - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._name = None
self._prev_tag_id = None
self._bit_mask_data = None
self._tot_size = None
self._creator = None
self._changes = None
self.discriminator = None
self.name = name
self.prev_tag_id = prev_tag_id
self.bit_mask_data = bit_mask_data
self.tot_size = tot_size
if creator is not None:
self.creator = creator
if changes is not None:
self.changes = changes
def __init__(self, id=None, dataset_id=None, file_name=None, thumb_name=None, exif=None, meta_data=None, index=None, created_at=None, last_modified_at=None, _configuration=None): # noqa: E501
"""SampleData - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._id = None
self._dataset_id = None
self._file_name = None
self._thumb_name = None
self._exif = None
self._meta_data = None
self._index = None
self._created_at = None
self._last_modified_at = None
self.discriminator = None
self.id = id
if dataset_id is not None:
self.dataset_id = dataset_id
self.file_name = file_name
if thumb_name is not None:
self.thumb_name = thumb_name
if exif is not None:
self.exif = exif
if meta_data is not None:
self.meta_data = meta_data
if index is not None:
self.index = index
if created_at is not None:
self.created_at = created_at
if last_modified_at is not None:
self.last_modified_at = last_modified_at
def __init__(self, row_count=None, _configuration=None): # noqa: E501
"""Body - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._row_count = None
self.discriminator = None
self.row_count = row_count
def __init__(self, job_id=None, _configuration=None): # noqa: E501
"""AsyncTaskData - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._job_id = None
self.discriminator = None
self.job_id = job_id
def __init__(self, bit_mask_data=None, _configuration=None): # noqa: E501
"""TagBitMaskResponse - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._bit_mask_data = None
self.discriminator = None
self.bit_mask_data = bit_mask_data
def __init__(self, processed_until_timestamp=None, _configuration=None): # noqa: E501
"""DatasourceProcessedUntilTimestampRequest - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._processed_until_timestamp = None
self.discriminator = None
self.processed_until_timestamp = processed_until_timestamp
def __init__(self, name=None, _configuration=None): # noqa: E501
"""TagUpdateRequest - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._name = None
self.discriminator = None
self.name = name
def __init__(self, id=None, _configuration=None): # noqa: E501
"""EntityBody - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._id = None
self.discriminator = None
self.id = id
def __init__(self, stopping_condition=None, _configuration=None): # noqa: E501
"""SamplingConfig - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._stopping_condition = None
self.discriminator = None
if stopping_condition is not None:
self.stopping_condition = stopping_condition
def __init__(self, signed_write_url=None, embedding_id=None, _configuration=None): # noqa: E501
"""WriteCSVUrlData - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._signed_write_url = None
self._embedding_id = None
self.discriminator = None
self.signed_write_url = signed_write_url
self.embedding_id = embedding_id
def __init__(self, id=None, data=None, _configuration=None): # noqa: E501
"""LabelStudioTask - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._id = None
self._data = None
self.discriminator = None
self.id = id
self.data = data
def __init__(self, score_type=None, scores=None, _configuration=None): # noqa: E501
"""ActiveLearningScoreCreateRequest - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._score_type = None
self._scores = None
self.discriminator = None
self.score_type = score_type
self.scores = scores
def __init__(self, id=None, dataset=None, name=None, _configuration=None): # noqa: E501
"""EmbeddingData - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._id = None
self._dataset = None
self._name = None
self.discriminator = None
self.id = id
self.dataset = dataset
self.name = name
def __init__(self,
custom=None,
dynamic=None,
sharpness=None,
size_in_bytes=None,
snr=None,
mean=None,
shape=None,
std=None,
sum_of_squares=None,
sum_of_values=None,
_configuration=None): # noqa: E501
"""SampleMetaData - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._custom = None
self._dynamic = None
self._sharpness = None
self._size_in_bytes = None
self._snr = None
self._mean = None
self._shape = None
self._std = None
self._sum_of_squares = None
self._sum_of_values = None
self.discriminator = None
if custom is not None:
self.custom = custom
if dynamic is not None:
self.dynamic = dynamic
if sharpness is not None:
self.sharpness = sharpness
if size_in_bytes is not None:
self.size_in_bytes = size_in_bytes
if snr is not None:
self.snr = snr
if mean is not None:
self.mean = mean
if shape is not None:
self.shape = shape
if std is not None:
self.std = std
if sum_of_squares is not None:
self.sum_of_squares = sum_of_squares
if sum_of_values is not None:
self.sum_of_values = sum_of_values
def __init__(self,
upsize_tag_name=None,
upsize_tag_creator=None,
_configuration=None): # noqa: E501
"""TagUpsizeRequest - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._upsize_tag_name = None
self._upsize_tag_creator = None
self.discriminator = None
self.upsize_tag_name = upsize_tag_name
self.upsize_tag_creator = upsize_tag_creator
def __init__(self,
total=None,
processed=None,
_configuration=None): # noqa: E501
"""JobStatusMeta - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._total = None
self._processed = None
self.discriminator = None
self.total = total
self.processed = processed
def __init__(self,
account_name=None,
account_key=None,
_configuration=None): # noqa: E501
"""DatasourceConfigAzure - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._account_name = None
self._account_key = None
self.discriminator = None
self.account_name = account_name
self.account_key = account_key
def __init__(self,
external_id=None,
image_url=None,
_configuration=None): # noqa: E501
"""LabelBoxDataRow - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._external_id = None
self._image_url = None
self.discriminator = None
self.external_id = external_id
self.image_url = image_url
def __init__(self,
full=None,
thumb=None,
_configuration=None): # noqa: E501
"""SampleWriteUrls - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._full = None
self._thumb = None
self.discriminator = None
self.full = full
self.thumb = thumb
def __init__(self,
file_name=None,
read_url=None,
_configuration=None): # noqa: E501
"""DatasourceRawSamplesDataRow - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._file_name = None
self._read_url = None
self.discriminator = None
self.file_name = file_name
self.read_url = read_url
def __init__(self,
gcs_project_id=None,
gcs_credentials=None,
_configuration=None): # noqa: E501
"""DatasourceConfigGCS - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._gcs_project_id = None
self._gcs_credentials = None
self.discriminator = None
self.gcs_project_id = gcs_project_id
self.gcs_credentials = gcs_credentials
def __init__(self,
code=None,
message=None,
_configuration=None): # noqa: E501
"""ApiErrorResponse - a model defined in Swagger""" # noqa: E501
if _configuration is None:
_configuration = Configuration()
self._configuration = _configuration
self._code = None
self._message = None
self.discriminator = None
self.code = code
self.message = message