diff --git a/VERSION b/VERSION index 8148c559..d223b451 100644 --- a/VERSION +++ b/VERSION @@ -1 +1 @@ -9.4.0 +9.5.0 diff --git a/clarifai_grpc/grpc/api/resources_pb2.py b/clarifai_grpc/grpc/api/resources_pb2.py index 0b2eaf4b..b0861c54 100644 --- a/clarifai_grpc/grpc/api/resources_pb2.py +++ b/clarifai_grpc/grpc/api/resources_pb2.py @@ -12,6 +12,7 @@ from clarifai_grpc.grpc.api.status import status_pb2 as proto_dot_clarifai_dot_api_dot_status_dot_status__pb2 +from clarifai_grpc.grpc.api.status import status_code_pb2 as proto_dot_clarifai_dot_api_dot_status_dot_status__code__pb2 from clarifai_grpc.grpc.api.utils import extensions_pb2 as proto_dot_clarifai_dot_api_dot_utils_dot_extensions__pb2 from clarifai_grpc.grpc.api.utils import matrix_pb2 as proto_dot_clarifai_dot_api_dot_utils_dot_matrix__pb2 from clarifai_grpc.grpc.auth.util import extension_pb2 as proto_dot_clarifai_dot_auth_dot_util_dot_extension__pb2 @@ -20,7 +21,7 @@ from google.protobuf import wrappers_pb2 as 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_INPUTSEXTRACTIONJOB._serialized_start=34159 + _INPUTSEXTRACTIONJOB._serialized_end=34408 + _INPUTSEXTRACTIONJOBPROGRESS._serialized_start=34411 + _INPUTSEXTRACTIONJOBPROGRESS._serialized_end=34712 + _INPUTSDATASOURCE._serialized_start=34714 + _INPUTSDATASOURCE._serialized_end=34801 + _DATASOURCEURL._serialized_start=34803 + _DATASOURCEURL._serialized_end=34889 + _DATASOURCECREDENTIALS._serialized_start=34892 + _DATASOURCECREDENTIALS._serialized_end=35059 + _AWSCREDS._serialized_start=35061 + _AWSCREDS._serialized_end=35136 + _AZUREBLOBCREDS._serialized_start=35138 + _AZUREBLOBCREDS._serialized_end=35197 + _INPUTSUPLOAD._serialized_start=35199 + _INPUTSUPLOAD._serialized_end=35295 # @@protoc_insertion_point(module_scope) diff --git a/clarifai_grpc/grpc/api/resources_pb2.pyi b/clarifai_grpc/grpc/api/resources_pb2.pyi index cfa550fd..366ba4ec 100644 --- a/clarifai_grpc/grpc/api/resources_pb2.pyi +++ b/clarifai_grpc/grpc/api/resources_pb2.pyi @@ -11,6 +11,7 @@ import google.protobuf.message import google.protobuf.struct_pb2 import google.protobuf.timestamp_pb2 import google.protobuf.wrappers_pb2 +import proto.clarifai.api.status.status_code_pb2 import proto.clarifai.api.status.status_pb2 import proto.clarifai.api.utils.matrix_pb2 import sys @@ -324,6 +325,29 @@ month: UsageIntervalType.ValueType # 2 year: UsageIntervalType.ValueType # 3 global___UsageIntervalType = UsageIntervalType +class _AnnotationDataType: + ValueType = typing.NewType("ValueType", builtins.int) + V: typing_extensions.TypeAlias = ValueType + +class _AnnotationDataTypeEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[_AnnotationDataType.ValueType], builtins.type): + DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor + ANNOTATION_DATA_TYPE_NOT_SET: _AnnotationDataType.ValueType # 0 + BOUNDING_BOX: _AnnotationDataType.ValueType # 1 + POLYGON: _AnnotationDataType.ValueType # 2 + POINT: _AnnotationDataType.ValueType # 4 + SPAN: _AnnotationDataType.ValueType # 8 + MASK: _AnnotationDataType.ValueType # 16 + +class AnnotationDataType(_AnnotationDataType, metaclass=_AnnotationDataTypeEnumTypeWrapper): ... + +ANNOTATION_DATA_TYPE_NOT_SET: AnnotationDataType.ValueType # 0 +BOUNDING_BOX: AnnotationDataType.ValueType # 1 +POLYGON: AnnotationDataType.ValueType # 2 +POINT: AnnotationDataType.ValueType # 4 +SPAN: AnnotationDataType.ValueType # 8 +MASK: AnnotationDataType.ValueType # 16 +global___AnnotationDataType = AnnotationDataType + class _RoleType: ValueType = typing.NewType("ValueType", builtins.int) V: typing_extensions.TypeAlias = ValueType @@ -2180,6 +2204,8 @@ class Dataset(google.protobuf.message.Message): DEFAULT_ANNOTATION_FILTER_FIELD_NUMBER: builtins.int NOTES_FIELD_NUMBER: builtins.int VERSION_FIELD_NUMBER: builtins.int + IS_STARRED_FIELD_NUMBER: builtins.int + STAR_COUNT_FIELD_NUMBER: builtins.int id: builtins.str """The ID for the dataset""" @property @@ -2223,6 +2249,10 @@ class Dataset(google.protobuf.message.Message): """Dataset version associated with this dataset. This is used in listing Datasets and including the latest version. """ + is_starred: builtins.bool + """Whether the dataset is starred by the requesting user.""" + star_count: builtins.int + """Number of users that starred this dataset.""" def __init__( self, *, @@ -2237,9 +2267,11 @@ class Dataset(google.protobuf.message.Message): default_annotation_filter: global___AnnotationFilter | None = ..., notes: builtins.str = ..., version: global___DatasetVersion | None = ..., + is_starred: builtins.bool = ..., + star_count: builtins.int = ..., ) -> None: ... def HasField(self, field_name: typing_extensions.Literal["created_at", b"created_at", "default_annotation_filter", b"default_annotation_filter", "metadata", b"metadata", "modified_at", b"modified_at", "version", b"version", "visibility", b"visibility"]) -> builtins.bool: ... - def ClearField(self, field_name: typing_extensions.Literal["app_id", b"app_id", "created_at", b"created_at", "default_annotation_filter", b"default_annotation_filter", "description", b"description", "id", b"id", "metadata", b"metadata", "modified_at", b"modified_at", "notes", b"notes", "user_id", b"user_id", "version", b"version", "visibility", b"visibility"]) -> None: ... + def ClearField(self, field_name: typing_extensions.Literal["app_id", b"app_id", "created_at", b"created_at", "default_annotation_filter", b"default_annotation_filter", "description", b"description", "id", b"id", "is_starred", b"is_starred", "metadata", b"metadata", "modified_at", b"modified_at", "notes", b"notes", "star_count", b"star_count", "user_id", b"user_id", "version", b"version", "visibility", b"visibility"]) -> None: ... global___Dataset = Dataset @@ -4205,15 +4237,10 @@ class EvalTestSetEntry(google.protobuf.message.Message): DESCRIPTOR: google.protobuf.descriptor.Descriptor - ID_FIELD_NUMBER: builtins.int - URL_FIELD_NUMBER: builtins.int INPUT_FIELD_NUMBER: builtins.int PREDICTED_CONCEPTS_FIELD_NUMBER: builtins.int GROUND_TRUTH_CONCEPTS_FIELD_NUMBER: builtins.int ANNOTATION_FIELD_NUMBER: builtins.int - id: builtins.str - """Input CFID""" - url: builtins.str @property def input(self) -> global___Input: """the input information""" @@ -4231,15 +4258,13 @@ class EvalTestSetEntry(google.protobuf.message.Message): def __init__( self, *, - id: builtins.str = ..., - url: builtins.str = ..., input: global___Input | None = ..., predicted_concepts: collections.abc.Iterable[global___Concept] | None = ..., ground_truth_concepts: collections.abc.Iterable[global___Concept] | None = ..., annotation: global___Annotation | None = ..., ) -> None: ... def HasField(self, field_name: typing_extensions.Literal["annotation", b"annotation", "input", b"input"]) -> builtins.bool: ... - def ClearField(self, field_name: typing_extensions.Literal["annotation", b"annotation", "ground_truth_concepts", b"ground_truth_concepts", "id", b"id", "input", b"input", "predicted_concepts", b"predicted_concepts", "url", b"url"]) -> None: ... + def ClearField(self, field_name: typing_extensions.Literal["annotation", b"annotation", "ground_truth_concepts", b"ground_truth_concepts", "input", b"input", "predicted_concepts", b"predicted_concepts"]) -> None: ... global___EvalTestSetEntry = EvalTestSetEntry @@ -4636,6 +4661,24 @@ class And(google.protobuf.message.Message): This can include human provided concepts, geo location info, metadata, etc. This is effectively searching over only the trusted annotation attached to an input in your app. To search by more specific annotation fields use the Annotation object here. + ########## Supported fields ########## + - data.concepts[].id + - data.concepts[].name + - data.concepts[].value + - data.geo.geo_box[].geo_point.latitude + - data.geo.geo_box[].geo_point.longitude + - data.geo.geo_limit.type + - data.geo.geo_limit.value + - data.geo.geo_point.latitude + - data.geo.geo_point.longitude + - data.image.url + - data.metadata - allow search with empty metadata + note that searching by empty metadata will actually not influence the search results. + however, in order to be user-friendly, we are still supporting searching by empty metadata. + - data.metadata.fields - filter by metadata. metadata key&value fields are OR-ed. + - dataset_ids[] - filter by dataset IDs + - id - filter by input ID + - status.code - filter by input status """ @property def output(self) -> global___Output: @@ -4650,6 +4693,16 @@ class And(google.protobuf.message.Message): to the score returned if you search for Output concept "dog" in your query. This provides a natural ranking to search results based on confidence of predictions from the models and is used when ANDing multiple of these types of RANK by Output queries together as well. + + ########## Supported fields ########## + - data.clusters[].id + - data.concepts[].id + - data.concepts[].name + - data.concepts[].value + - input.data.image - empty image is required when searching by input ID + - input.data.image.base64[] + - input.data.image.url + - input.id """ negate: builtins.bool """If True then this will flip the meaning of this part of the @@ -4667,6 +4720,33 @@ class And(google.protobuf.message.Message): Since all the annotations under the hood are joined to the embedding model's annotation using worker_id's of other models like cluster models or concept models should be combinable with queries like visual search (a query with Output filled in). + + ########## Supported fields ########## + - annotation_info - allows searching by empty annotation info + note that searching by empty annotation info will actually not influence the search results. + however, in order to be user-friendly, we are still supporting searching by empty annotation info. + - annotation_info.fields - filter by annotation info + - data.concepts[].id + - data.concepts[].name + - data.concepts[].value + - data.geo.geo_box[].geo_point.latitude + - data.geo.geo_box[].geo_point.longitude + - data.geo.geo_limit.type + - data.geo.geo_limit.value + - data.geo.geo_point.latitude + - data.geo.geo_point.longitude + - data.image.url + - data.metadata - allow search with empty metadata + note that searching by empty metadata will actually not influence the search results. + however, in order to be user-friendly, we are still supporting searching by empty metadata. + - data.metadata.fields - filter by metadata. metadata key&value fields are OR-ed. + - input_id + - input_level + - model_version_id + - status.code + - task_id + - trusted + - user_id """ def __init__( self, @@ -4849,11 +4929,51 @@ class Filter(google.protobuf.message.Message): """ @property def annotation(self) -> global___Annotation: - """FILTER by annotation information.""" + """FILTER by annotation information. + ########## Supported fields ########## + - annotation_info - allows searching by empty annotation info + note that searching by empty annotation info will actually not influence the search results. + however, in order to be user-friendly, we are still supporting searching by empty annotation info. + - annotation_info.fields - filter by annotation info + - data.clusters[].id + - data.concepts[].id + - data.concepts[].name + - data.concepts[].value + - data.frames[].frame_info - filter by frame annotations + - data.geo.geo_box[].geo_point.latitude + - data.geo.geo_box[].geo_point.longitude + - data.geo.geo_limit.type + - data.geo.geo_limit.value + - data.geo.geo_point.latitude + - data.geo.geo_point.longitude + - data.metadata - allow search with empty metadata + note that searching by empty metadata will actually not influence the search results. + however, in order to be user-friendly, we are still supporting searching by empty metadata. + - data.metadata.fields - filter by metadata. metadata key&value fields are OR-ed. + - data.regions[].region_info.bounding_box - filter by bounding box annotations + - data.regions[].region_info.mask - filter by mask annotations + - data.regions[].region_info.point - filter by point annotations + - data.regions[].region_info.polygon - filter by polygon annotations + - data.regions[].region_info.span - filter by span annotations + - data.text - filter by text annotations + - data.time_segments[].time_info - filter by time-segment annotations + - id + - input_id + - input_level + - status.code + - task_id + - user_id + """ @property def input(self) -> global___Input: """FILTER by input information. - For example you can filter inputs by status, + ########## Supported fields ########## + - data.audio - filter audio inputs + - data.image - filter image inputs + - data.text - filter text inputs + - data.video - filter video inputs + - dataset_ids[] - filter by dataset IDs + - status.code - filter by input status """ @property def last_updated_time_range(self) -> global___TimeRange: @@ -4910,7 +5030,20 @@ class Rank(google.protobuf.message.Message): """ @property def annotation(self) -> global___Annotation: - """RANK by annotation information.""" + """RANK by annotation information. + ########## Supported fields ########## + - data.concepts[].id + - data.concepts[].name + - data.concepts[].value + - data.embeddings[].num_dimensions + - data.embeddings[].vector[] + - data.image.base64[] + - data.image.url + - data.lopq_code[] + - data.text.raw + - input_id + - model_version_id + """ def __init__( self, *, @@ -5949,6 +6082,8 @@ class Task(google.protobuf.message.Message): APP_ID_FIELD_NUMBER: builtins.int USER_ID_FIELD_NUMBER: builtins.int LABEL_ORDER_ID_FIELD_NUMBER: builtins.int + CONCEPTS_FIELD_NUMBER: builtins.int + DELETE_PREVIOUS_ANNOTATIONS_FIELD_NUMBER: builtins.int id: builtins.str """Unique ID for the task.""" @property @@ -6003,6 +6138,13 @@ class Task(google.protobuf.message.Message): """The user the task belongs to.""" label_order_id: builtins.str """The label order the task belongs to.""" + @property + def concepts(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___TaskConcept]: + """Ignore Task.concept_ids field if Task.TaskConcept are supplied.""" + delete_previous_annotations: builtins.bool + """Specify whether existing Annotations within the same app that are generated by other auto annotation tasks + with the specified Concept from the selected Model or Workflow should deleted before executing the Task + """ def __init__( self, *, @@ -6024,9 +6166,11 @@ class Task(google.protobuf.message.Message): app_id: builtins.str = ..., user_id: builtins.str = ..., label_order_id: builtins.str = ..., + concepts: collections.abc.Iterable[global___TaskConcept] | None = ..., + delete_previous_annotations: builtins.bool = ..., ) -> None: ... def HasField(self, field_name: typing_extensions.Literal["ai_assist_params", b"ai_assist_params", "ai_assistant", b"ai_assistant", "created_at", b"created_at", "input_source", b"input_source", "modified_at", b"modified_at", "review", b"review", "status", b"status", "visibility", b"visibility", "worker", b"worker"]) -> builtins.bool: ... - def ClearField(self, field_name: typing_extensions.Literal["ai_assist_params", b"ai_assist_params", "ai_assistant", b"ai_assistant", "app_id", b"app_id", "concept_ids", b"concept_ids", "created_at", b"created_at", "description", b"description", "id", b"id", "input_source", b"input_source", "label_order_id", b"label_order_id", "modified_at", b"modified_at", "name", b"name", "review", b"review", "sample_ms", b"sample_ms", "status", b"status", "type", b"type", "user_id", b"user_id", "visibility", b"visibility", "worker", b"worker"]) -> None: ... + def ClearField(self, field_name: typing_extensions.Literal["ai_assist_params", b"ai_assist_params", "ai_assistant", b"ai_assistant", "app_id", b"app_id", "concept_ids", b"concept_ids", "concepts", b"concepts", "created_at", b"created_at", "delete_previous_annotations", b"delete_previous_annotations", "description", b"description", "id", b"id", "input_source", b"input_source", "label_order_id", b"label_order_id", "modified_at", b"modified_at", "name", b"name", "review", b"review", "sample_ms", b"sample_ms", "status", b"status", "type", b"type", "user_id", b"user_id", "visibility", b"visibility", "worker", b"worker"]) -> None: ... global___Task = Task @@ -6088,6 +6232,8 @@ class TaskWorker(google.protobuf.message.Message): STRATEGY_FIELD_NUMBER: builtins.int USER_IDS_FIELD_NUMBER: builtins.int USERS_FIELD_NUMBER: builtins.int + MODELS_FIELD_NUMBER: builtins.int + WORKFLOWS_FIELD_NUMBER: builtins.int PARTITIONED_STRATEGY_INFO_FIELD_NUMBER: builtins.int strategy: global___TaskWorker.TaskWorkerStrategy.ValueType """Worker strategy.""" @@ -6103,6 +6249,12 @@ class TaskWorker(google.protobuf.message.Message): info is filled for the workers. Otherwise, only the user 'id' is filled. """ @property + def models(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Model]: + """Models that will work on this task. For Auto Annotation Tasks. Currently only supports 1 entry.""" + @property + def workflows(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Workflow]: + """Workflows that will work on this task. For Auto Annotation Tasks. Currently only supports 1 entry.""" + @property def partitioned_strategy_info(self) -> global___TaskWorkerPartitionedStrategyInfo: ... def __init__( self, @@ -6110,10 +6262,12 @@ class TaskWorker(google.protobuf.message.Message): strategy: global___TaskWorker.TaskWorkerStrategy.ValueType = ..., user_ids: collections.abc.Iterable[builtins.str] | None = ..., users: collections.abc.Iterable[global___User] | None = ..., + models: collections.abc.Iterable[global___Model] | None = ..., + workflows: collections.abc.Iterable[global___Workflow] | None = ..., partitioned_strategy_info: global___TaskWorkerPartitionedStrategyInfo | None = ..., ) -> None: ... def HasField(self, field_name: typing_extensions.Literal["partitioned_strategy_info", b"partitioned_strategy_info", "strategy_info", b"strategy_info"]) -> builtins.bool: ... - def ClearField(self, field_name: typing_extensions.Literal["partitioned_strategy_info", b"partitioned_strategy_info", "strategy", b"strategy", "strategy_info", b"strategy_info", "user_ids", b"user_ids", "users", b"users"]) -> None: ... + def ClearField(self, field_name: typing_extensions.Literal["models", b"models", "partitioned_strategy_info", b"partitioned_strategy_info", "strategy", b"strategy", "strategy_info", b"strategy_info", "user_ids", b"user_ids", "users", b"users", "workflows", b"workflows"]) -> None: ... def WhichOneof(self, oneof_group: typing_extensions.Literal["strategy_info", b"strategy_info"]) -> typing_extensions.Literal["partitioned_strategy_info"] | None: ... global___TaskWorker = TaskWorker @@ -6393,6 +6547,86 @@ class TaskStatusCountPerUser(google.protobuf.message.Message): global___TaskStatusCountPerUser = TaskStatusCountPerUser +@typing_extensions.final +class ThresholdRange(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + IS_LOWER_INCLUSIVE_FIELD_NUMBER: builtins.int + IS_UPPER_INCLUSIVE_FIELD_NUMBER: builtins.int + LOWER_FIELD_NUMBER: builtins.int + UPPER_FIELD_NUMBER: builtins.int + is_lower_inclusive: builtins.bool + """The range used to filter over concept values. + e.g. GREATER_THAN_OR_EQUAL_TO 0.7 -> is_lower_inclusive = true, lower = 0.7, is_upper_inclusive = true, upper = 1.0 + e.g. (0.3, 0.75] -> is_lower_inclusive = false, lower = 0.3, is_upper_inclusive = true, upper = 0.75 + """ + is_upper_inclusive: builtins.bool + lower: builtins.float + upper: builtins.float + def __init__( + self, + *, + is_lower_inclusive: builtins.bool = ..., + is_upper_inclusive: builtins.bool = ..., + lower: builtins.float = ..., + upper: builtins.float = ..., + ) -> None: ... + def ClearField(self, field_name: typing_extensions.Literal["is_lower_inclusive", b"is_lower_inclusive", "is_upper_inclusive", b"is_upper_inclusive", "lower", b"lower", "upper", b"upper"]) -> None: ... + +global___ThresholdRange = ThresholdRange + +@typing_extensions.final +class TaskConceptAutoAnnotationConfig(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ANNOTATION_DATA_TYPES_FIELD_NUMBER: builtins.int + THRESHOLD_RANGE_FIELD_NUMBER: builtins.int + STATUS_CODE_FIELD_NUMBER: builtins.int + annotation_data_types: builtins.int + """Filter anontations by their annotation data type. + This specifies types in an OR fashion, e.g. a `dog` concept that appears as a mask or a bbox. + """ + @property + def threshold_range(self) -> global___ThresholdRange: + """Filter annotations by concept value. + Only concepts that fit in the threshold will be used to generate annotations. + """ + status_code: proto.clarifai.api.status.status_code_pb2.StatusCode.ValueType + """The output annotations will be created using this status code.""" + def __init__( + self, + *, + annotation_data_types: builtins.int = ..., + threshold_range: global___ThresholdRange | None = ..., + status_code: proto.clarifai.api.status.status_code_pb2.StatusCode.ValueType = ..., + ) -> None: ... + def HasField(self, field_name: typing_extensions.Literal["threshold_range", b"threshold_range"]) -> builtins.bool: ... + def ClearField(self, field_name: typing_extensions.Literal["annotation_data_types", b"annotation_data_types", "status_code", b"status_code", "threshold_range", b"threshold_range"]) -> None: ... + +global___TaskConceptAutoAnnotationConfig = TaskConceptAutoAnnotationConfig + +@typing_extensions.final +class TaskConcept(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + CONCEPT_FIELD_NUMBER: builtins.int + AUTO_ANNOTATION_CONFIG_FIELD_NUMBER: builtins.int + @property + def concept(self) -> global___Concept: + """For auto annotation, id/name and value, user + app id must be specified. For other tasks, only the id field is required.""" + @property + def auto_annotation_config(self) -> global___TaskConceptAutoAnnotationConfig: ... + def __init__( + self, + *, + concept: global___Concept | None = ..., + auto_annotation_config: global___TaskConceptAutoAnnotationConfig | None = ..., + ) -> None: ... + def HasField(self, field_name: typing_extensions.Literal["auto_annotation_config", b"auto_annotation_config", "concept", b"concept"]) -> builtins.bool: ... + def ClearField(self, field_name: typing_extensions.Literal["auto_annotation_config", b"auto_annotation_config", "concept", b"concept"]) -> None: ... + +global___TaskConcept = TaskConcept + @typing_extensions.final class Collector(google.protobuf.message.Message): """Collector is a data pathway from a CollectorSource to an app to collect data automatically. @@ -6943,6 +7177,41 @@ class TimeInfo(google.protobuf.message.Message): global___TimeInfo = TimeInfo +@typing_extensions.final +class DatasetStar(google.protobuf.message.Message): + """DatasetStar""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + DATASET_ID_FIELD_NUMBER: builtins.int + dataset_id: builtins.str + def __init__( + self, + *, + dataset_id: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing_extensions.Literal["dataset_id", b"dataset_id"]) -> None: ... + +global___DatasetStar = DatasetStar + +@typing_extensions.final +class ModuleStar(google.protobuf.message.Message): + """ModuleStar""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + MODULE_ID_FIELD_NUMBER: builtins.int + module_id: builtins.str + """Module id of the star""" + def __init__( + self, + *, + module_id: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing_extensions.Literal["module_id", b"module_id"]) -> None: ... + +global___ModuleStar = ModuleStar + @typing_extensions.final class Module(google.protobuf.message.Message): """An app module that a user created in our app module marketplace.""" @@ -6958,6 +7227,8 @@ class Module(google.protobuf.message.Message): USER_ID_FIELD_NUMBER: builtins.int APP_ID_FIELD_NUMBER: builtins.int MODULE_VERSION_FIELD_NUMBER: builtins.int + IS_STARRED_FIELD_NUMBER: builtins.int + STAR_COUNT_FIELD_NUMBER: builtins.int id: builtins.str """A unique ID for this app module.""" description: builtins.str @@ -6990,6 +7261,14 @@ class Module(google.protobuf.message.Message): """A ModuleVersion which is used when listing modules to include the latest module version in the response. """ + is_starred: builtins.bool + """Is starred by the requesting user (only showed on get/list requests) + Please use PostModuleStars/DeleteModuleStars endpoints to star/unstar a module + """ + star_count: builtins.int + """How many users have starred the module (only showed on get/list requests) + Computed value, not editable + """ def __init__( self, *, @@ -7002,9 +7281,11 @@ class Module(google.protobuf.message.Message): user_id: builtins.str = ..., app_id: builtins.str = ..., module_version: global___ModuleVersion | None = ..., + is_starred: builtins.bool = ..., + star_count: builtins.int = ..., ) -> None: ... def HasField(self, field_name: typing_extensions.Literal["created_at", b"created_at", "metadata", b"metadata", "modified_at", b"modified_at", "module_version", b"module_version", "visibility", b"visibility"]) -> builtins.bool: ... - def ClearField(self, field_name: typing_extensions.Literal["app_id", b"app_id", "created_at", b"created_at", "description", b"description", "id", b"id", "metadata", b"metadata", "modified_at", b"modified_at", "module_version", b"module_version", "user_id", b"user_id", "visibility", b"visibility"]) -> None: ... + def ClearField(self, field_name: typing_extensions.Literal["app_id", b"app_id", "created_at", b"created_at", "description", b"description", "id", b"id", "is_starred", b"is_starred", "metadata", b"metadata", "modified_at", b"modified_at", "module_version", b"module_version", "star_count", b"star_count", "user_id", b"user_id", "visibility", b"visibility"]) -> None: ... global___Module = Module @@ -7240,6 +7521,7 @@ class BulkOperation(google.protobuf.message.Message): ID_FIELD_NUMBER: builtins.int INPUT_IDS_FIELD_NUMBER: builtins.int SEARCH_FIELD_NUMBER: builtins.int + DATASET_FIELD_NUMBER: builtins.int OPERATION_FIELD_NUMBER: builtins.int APP_ID_FIELD_NUMBER: builtins.int STATUS_FIELD_NUMBER: builtins.int @@ -7254,6 +7536,8 @@ class BulkOperation(google.protobuf.message.Message): @property def search(self) -> global___Search: ... @property + def dataset(self) -> global___Dataset: ... + @property def operation(self) -> global___Operation: """Operation to perform""" app_id: builtins.str @@ -7283,6 +7567,7 @@ class BulkOperation(google.protobuf.message.Message): id: builtins.str = ..., input_ids: global___InputIDs | None = ..., search: global___Search | None = ..., + dataset: global___Dataset | None = ..., operation: global___Operation | None = ..., app_id: builtins.str = ..., status: proto.clarifai.api.status.status_pb2.Status | None = ..., @@ -7291,9 +7576,9 @@ class BulkOperation(google.protobuf.message.Message): created_at: google.protobuf.timestamp_pb2.Timestamp | None = ..., last_modified_at: google.protobuf.timestamp_pb2.Timestamp | None = ..., ) -> None: ... - def HasField(self, field_name: typing_extensions.Literal["created_at", b"created_at", "input_ids", b"input_ids", "input_source", b"input_source", "last_modified_at", b"last_modified_at", "operation", b"operation", "progress", b"progress", "search", b"search", "status", b"status"]) -> builtins.bool: ... - def ClearField(self, field_name: typing_extensions.Literal["app_id", b"app_id", "created_at", b"created_at", "created_by", b"created_by", "id", b"id", "input_ids", b"input_ids", "input_source", b"input_source", "last_modified_at", b"last_modified_at", "operation", b"operation", "progress", b"progress", "search", b"search", "status", b"status"]) -> None: ... - def WhichOneof(self, oneof_group: typing_extensions.Literal["input_source", b"input_source"]) -> typing_extensions.Literal["input_ids", "search"] | None: ... + def HasField(self, field_name: typing_extensions.Literal["created_at", b"created_at", "dataset", b"dataset", "input_ids", b"input_ids", "input_source", b"input_source", "last_modified_at", b"last_modified_at", "operation", b"operation", "progress", b"progress", "search", b"search", "status", b"status"]) -> builtins.bool: ... + def ClearField(self, field_name: typing_extensions.Literal["app_id", b"app_id", "created_at", b"created_at", "created_by", b"created_by", "dataset", b"dataset", "id", b"id", "input_ids", b"input_ids", "input_source", b"input_source", "last_modified_at", b"last_modified_at", "operation", b"operation", "progress", b"progress", "search", b"search", "status", b"status"]) -> None: ... + def WhichOneof(self, oneof_group: typing_extensions.Literal["input_source", b"input_source"]) -> typing_extensions.Literal["input_ids", "search", "dataset"] | None: ... global___BulkOperation = BulkOperation @@ -7343,6 +7628,7 @@ class Operation(google.protobuf.message.Message): DELETE_GEO_FIELD_NUMBER: builtins.int DELETE_FROM_DATASET_FIELD_NUMBER: builtins.int ADD_TO_DATASET_FIELD_NUMBER: builtins.int + SPLIT_INTO_DATASETS_FIELD_NUMBER: builtins.int @property def add_concepts(self) -> global___AddConcepts: ... @property @@ -7359,6 +7645,8 @@ class Operation(google.protobuf.message.Message): def delete_from_dataset(self) -> global___DeleteFromDataset: ... @property def add_to_dataset(self) -> global___AddToDataset: ... + @property + def split_into_datasets(self) -> global___SplitIntoDatasets: ... def __init__( self, *, @@ -7370,10 +7658,11 @@ class Operation(google.protobuf.message.Message): delete_geo: global___DeleteGeo | None = ..., delete_from_dataset: global___DeleteFromDataset | None = ..., add_to_dataset: global___AddToDataset | None = ..., + split_into_datasets: global___SplitIntoDatasets | None = ..., ) -> None: ... - def HasField(self, field_name: typing_extensions.Literal["add_concepts", b"add_concepts", "add_metadata", b"add_metadata", "add_to_dataset", b"add_to_dataset", "delete_concepts", b"delete_concepts", "delete_from_dataset", b"delete_from_dataset", "delete_geo", b"delete_geo", "delete_metadata", b"delete_metadata", "operation", b"operation", "overwrite_geo", b"overwrite_geo"]) -> builtins.bool: ... - def ClearField(self, field_name: typing_extensions.Literal["add_concepts", b"add_concepts", "add_metadata", b"add_metadata", "add_to_dataset", b"add_to_dataset", "delete_concepts", b"delete_concepts", "delete_from_dataset", b"delete_from_dataset", "delete_geo", b"delete_geo", "delete_metadata", b"delete_metadata", "operation", b"operation", "overwrite_geo", b"overwrite_geo"]) -> None: ... - def WhichOneof(self, oneof_group: typing_extensions.Literal["operation", b"operation"]) -> typing_extensions.Literal["add_concepts", "delete_concepts", "add_metadata", "delete_metadata", "overwrite_geo", "delete_geo", "delete_from_dataset", "add_to_dataset"] | None: ... + def HasField(self, field_name: typing_extensions.Literal["add_concepts", b"add_concepts", "add_metadata", b"add_metadata", "add_to_dataset", b"add_to_dataset", "delete_concepts", b"delete_concepts", "delete_from_dataset", b"delete_from_dataset", "delete_geo", b"delete_geo", "delete_metadata", b"delete_metadata", "operation", b"operation", "overwrite_geo", b"overwrite_geo", "split_into_datasets", b"split_into_datasets"]) -> builtins.bool: ... + def ClearField(self, field_name: typing_extensions.Literal["add_concepts", b"add_concepts", "add_metadata", b"add_metadata", "add_to_dataset", b"add_to_dataset", "delete_concepts", b"delete_concepts", "delete_from_dataset", b"delete_from_dataset", "delete_geo", b"delete_geo", "delete_metadata", b"delete_metadata", "operation", b"operation", "overwrite_geo", b"overwrite_geo", "split_into_datasets", b"split_into_datasets"]) -> None: ... + def WhichOneof(self, oneof_group: typing_extensions.Literal["operation", b"operation"]) -> typing_extensions.Literal["add_concepts", "delete_concepts", "add_metadata", "delete_metadata", "overwrite_geo", "delete_geo", "delete_from_dataset", "add_to_dataset", "split_into_datasets"] | None: ... global___Operation = Operation @@ -7511,6 +7800,65 @@ class DeleteFromDataset(google.protobuf.message.Message): global___DeleteFromDataset = DeleteFromDataset +@typing_extensions.final +class SplitIntoDatasets(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + class _DatasetSplitMethod: + ValueType = typing.NewType("ValueType", builtins.int) + V: typing_extensions.TypeAlias = ValueType + + class _DatasetSplitMethodEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[SplitIntoDatasets._DatasetSplitMethod.ValueType], builtins.type): # noqa: F821 + DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor + NOT_SET: SplitIntoDatasets._DatasetSplitMethod.ValueType # 0 + RANDOM_PERCENTAGE_SPLIT: SplitIntoDatasets._DatasetSplitMethod.ValueType # 1 + """We will randomly split inputs into the datasets""" + + class DatasetSplitMethod(_DatasetSplitMethod, metaclass=_DatasetSplitMethodEnumTypeWrapper): ... + NOT_SET: SplitIntoDatasets.DatasetSplitMethod.ValueType # 0 + RANDOM_PERCENTAGE_SPLIT: SplitIntoDatasets.DatasetSplitMethod.ValueType # 1 + """We will randomly split inputs into the datasets""" + + DATASET_SPLITS_FIELD_NUMBER: builtins.int + METHOD_FIELD_NUMBER: builtins.int + @property + def dataset_splits(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___DatasetSplit]: ... + method: global___SplitIntoDatasets.DatasetSplitMethod.ValueType + def __init__( + self, + *, + dataset_splits: collections.abc.Iterable[global___DatasetSplit] | None = ..., + method: global___SplitIntoDatasets.DatasetSplitMethod.ValueType = ..., + ) -> None: ... + def ClearField(self, field_name: typing_extensions.Literal["dataset_splits", b"dataset_splits", "method", b"method"]) -> None: ... + +global___SplitIntoDatasets = SplitIntoDatasets + +@typing_extensions.final +class DatasetSplit(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + DATASET_FIELD_NUMBER: builtins.int + PERCENTAGE_FIELD_NUMBER: builtins.int + @property + def dataset(self) -> global___Dataset: + """Expected to have ID""" + percentage: builtins.int + """For RANDOM_PERCENTAGE_SPLIT. + Values from (0,100] + """ + def __init__( + self, + *, + dataset: global___Dataset | None = ..., + percentage: builtins.int = ..., + ) -> None: ... + def HasField(self, field_name: typing_extensions.Literal["dataset", b"dataset", "method_info", b"method_info", "percentage", b"percentage"]) -> builtins.bool: ... + def ClearField(self, field_name: typing_extensions.Literal["dataset", b"dataset", "method_info", b"method_info", "percentage", b"percentage"]) -> None: ... + def WhichOneof(self, oneof_group: typing_extensions.Literal["method_info", b"method_info"]) -> typing_extensions.Literal["percentage"] | None: ... + +global___DatasetSplit = DatasetSplit + @typing_extensions.final class InputsAddJob(google.protobuf.message.Message): DESCRIPTOR: google.protobuf.descriptor.Descriptor diff --git a/clarifai_grpc/grpc/api/service_pb2.py b/clarifai_grpc/grpc/api/service_pb2.py index f99b4049..f04ea110 100644 --- a/clarifai_grpc/grpc/api/service_pb2.py +++ b/clarifai_grpc/grpc/api/service_pb2.py @@ -23,7 +23,7 @@ from google.protobuf import timestamp_pb2 as 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_GETINPUTSEXTRACTIONJOBREQUEST._serialized_start=39318 + _GETINPUTSEXTRACTIONJOBREQUEST._serialized_end=39432 + _LISTINPUTSEXTRACTIONJOBSREQUEST._serialized_start=39434 + _LISTINPUTSEXTRACTIONJOBSREQUEST._serialized_end=39548 + _SINGLEINPUTSEXTRACTIONJOBRESPONSE._serialized_start=39551 + _SINGLEINPUTSEXTRACTIONJOBRESPONSE._serialized_end=39697 + _MULTIINPUTSEXTRACTIONJOBRESPONSE._serialized_start=39700 + _MULTIINPUTSEXTRACTIONJOBRESPONSE._serialized_end=39846 + _CANCELINPUTSEXTRACTIONJOBSREQUEST._serialized_start=39848 + _CANCELINPUTSEXTRACTIONJOBSREQUEST._serialized_end=39945 + _POSTINPUTSUPLOADSREQUEST._serialized_start=39947 + _POSTINPUTSUPLOADSREQUEST._serialized_end=40074 + _V2._serialized_start=40192 + _V2._serialized_end=87958 # @@protoc_insertion_point(module_scope) diff --git a/clarifai_grpc/grpc/api/service_pb2.pyi b/clarifai_grpc/grpc/api/service_pb2.pyi index 87d19f8d..091bb1bc 100644 --- a/clarifai_grpc/grpc/api/service_pb2.pyi +++ b/clarifai_grpc/grpc/api/service_pb2.pyi @@ -1733,6 +1733,26 @@ class GetInputRequest(google.protobuf.message.Message): global___GetInputRequest = GetInputRequest +@typing_extensions.final +class GetVideoManifestRequest(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + USER_APP_ID_FIELD_NUMBER: builtins.int + INPUT_ID_FIELD_NUMBER: builtins.int + @property + def user_app_id(self) -> proto.clarifai.api.resources_pb2.UserAppIDSet: ... + input_id: builtins.str + def __init__( + self, + *, + user_app_id: proto.clarifai.api.resources_pb2.UserAppIDSet | None = ..., + input_id: builtins.str = ..., + ) -> None: ... + def HasField(self, field_name: typing_extensions.Literal["user_app_id", b"user_app_id"]) -> builtins.bool: ... + def ClearField(self, field_name: typing_extensions.Literal["input_id", b"input_id", "user_app_id", b"user_app_id"]) -> None: ... + +global___GetVideoManifestRequest = GetVideoManifestRequest + @typing_extensions.final class GetInputSamplesRequest(google.protobuf.message.Message): """GetInputSamplesRequest""" @@ -1976,6 +1996,26 @@ class SingleInputResponse(google.protobuf.message.Message): global___SingleInputResponse = SingleInputResponse +@typing_extensions.final +class GetVideoManifestResponse(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + STATUS_FIELD_NUMBER: builtins.int + MANIFEST_URL_FIELD_NUMBER: builtins.int + @property + def status(self) -> proto.clarifai.api.status.status_pb2.Status: ... + manifest_url: builtins.str + def __init__( + self, + *, + status: proto.clarifai.api.status.status_pb2.Status | None = ..., + manifest_url: builtins.str = ..., + ) -> None: ... + def HasField(self, field_name: typing_extensions.Literal["status", b"status"]) -> builtins.bool: ... + def ClearField(self, field_name: typing_extensions.Literal["manifest_url", b"manifest_url", "status", b"status"]) -> None: ... + +global___GetVideoManifestResponse = GetVideoManifestResponse + @typing_extensions.final class MultiInputResponse(google.protobuf.message.Message): """MultiInputResponse""" @@ -2077,6 +2117,8 @@ class ListDatasetsRequest(google.protobuf.message.Message): USER_APP_ID_FIELD_NUMBER: builtins.int PAGE_FIELD_NUMBER: builtins.int PER_PAGE_FIELD_NUMBER: builtins.int + STARRED_ONLY_FIELD_NUMBER: builtins.int + ADDITIONAL_FIELDS_FIELD_NUMBER: builtins.int @property def user_app_id(self) -> proto.clarifai.api.resources_pb2.UserAppIDSet: ... page: builtins.int @@ -2087,15 +2129,20 @@ class ListDatasetsRequest(google.protobuf.message.Message): """(optional URL parameter) The number of results that will be contained in each page. Defaults to 128. """ + starred_only: builtins.bool + @property + def additional_fields(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: ... def __init__( self, *, user_app_id: proto.clarifai.api.resources_pb2.UserAppIDSet | None = ..., page: builtins.int = ..., per_page: builtins.int = ..., + starred_only: builtins.bool = ..., + additional_fields: collections.abc.Iterable[builtins.str] | None = ..., ) -> None: ... def HasField(self, field_name: typing_extensions.Literal["user_app_id", b"user_app_id"]) -> builtins.bool: ... - def ClearField(self, field_name: typing_extensions.Literal["page", b"page", "per_page", b"per_page", "user_app_id", b"user_app_id"]) -> None: ... + def ClearField(self, field_name: typing_extensions.Literal["additional_fields", b"additional_fields", "page", b"page", "per_page", b"per_page", "starred_only", b"starred_only", "user_app_id", b"user_app_id"]) -> None: ... global___ListDatasetsRequest = ListDatasetsRequest @@ -2107,18 +2154,22 @@ class GetDatasetRequest(google.protobuf.message.Message): USER_APP_ID_FIELD_NUMBER: builtins.int DATASET_ID_FIELD_NUMBER: builtins.int + ADDITIONAL_FIELDS_FIELD_NUMBER: builtins.int @property def user_app_id(self) -> proto.clarifai.api.resources_pb2.UserAppIDSet: ... dataset_id: builtins.str """Identify dataset by id.""" + @property + def additional_fields(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: ... def __init__( self, *, user_app_id: proto.clarifai.api.resources_pb2.UserAppIDSet | None = ..., dataset_id: builtins.str = ..., + additional_fields: collections.abc.Iterable[builtins.str] | None = ..., ) -> None: ... def HasField(self, field_name: typing_extensions.Literal["user_app_id", b"user_app_id"]) -> builtins.bool: ... - def ClearField(self, field_name: typing_extensions.Literal["dataset_id", b"dataset_id", "user_app_id", b"user_app_id"]) -> None: ... + def ClearField(self, field_name: typing_extensions.Literal["additional_fields", b"additional_fields", "dataset_id", b"dataset_id", "user_app_id", b"user_app_id"]) -> None: ... global___GetDatasetRequest = GetDatasetRequest @@ -7234,17 +7285,21 @@ class GetModuleRequest(google.protobuf.message.Message): USER_APP_ID_FIELD_NUMBER: builtins.int MODULE_ID_FIELD_NUMBER: builtins.int + ADDITIONAL_FIELDS_FIELD_NUMBER: builtins.int @property def user_app_id(self) -> proto.clarifai.api.resources_pb2.UserAppIDSet: ... module_id: builtins.str + @property + def additional_fields(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: ... def __init__( self, *, user_app_id: proto.clarifai.api.resources_pb2.UserAppIDSet | None = ..., module_id: builtins.str = ..., + additional_fields: collections.abc.Iterable[builtins.str] | None = ..., ) -> None: ... def HasField(self, field_name: typing_extensions.Literal["user_app_id", b"user_app_id"]) -> builtins.bool: ... - def ClearField(self, field_name: typing_extensions.Literal["module_id", b"module_id", "user_app_id", b"user_app_id"]) -> None: ... + def ClearField(self, field_name: typing_extensions.Literal["additional_fields", b"additional_fields", "module_id", b"module_id", "user_app_id", b"user_app_id"]) -> None: ... global___GetModuleRequest = GetModuleRequest @@ -7257,6 +7312,8 @@ class ListModulesRequest(google.protobuf.message.Message): USER_APP_ID_FIELD_NUMBER: builtins.int PAGE_FIELD_NUMBER: builtins.int PER_PAGE_FIELD_NUMBER: builtins.int + STARRED_ONLY_FIELD_NUMBER: builtins.int + ADDITIONAL_FIELDS_FIELD_NUMBER: builtins.int @property def user_app_id(self) -> proto.clarifai.api.resources_pb2.UserAppIDSet: ... page: builtins.int @@ -7267,15 +7324,20 @@ class ListModulesRequest(google.protobuf.message.Message): """(optional URL parameter) The number of results that will be contained in each page. Defaults to 128. """ + starred_only: builtins.bool + @property + def additional_fields(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: ... def __init__( self, *, user_app_id: proto.clarifai.api.resources_pb2.UserAppIDSet | None = ..., page: builtins.int = ..., per_page: builtins.int = ..., + starred_only: builtins.bool = ..., + additional_fields: collections.abc.Iterable[builtins.str] | None = ..., ) -> None: ... def HasField(self, field_name: typing_extensions.Literal["user_app_id", b"user_app_id"]) -> builtins.bool: ... - def ClearField(self, field_name: typing_extensions.Literal["page", b"page", "per_page", b"per_page", "user_app_id", b"user_app_id"]) -> None: ... + def ClearField(self, field_name: typing_extensions.Literal["additional_fields", b"additional_fields", "page", b"page", "per_page", b"per_page", "starred_only", b"starred_only", "user_app_id", b"user_app_id"]) -> None: ... global___ListModulesRequest = ListModulesRequest diff --git a/clarifai_grpc/grpc/api/service_pb2_grpc.py b/clarifai_grpc/grpc/api/service_pb2_grpc.py index a119bbe4..5d57eb19 100644 --- a/clarifai_grpc/grpc/api/service_pb2_grpc.py +++ b/clarifai_grpc/grpc/api/service_pb2_grpc.py @@ -184,6 +184,11 @@ def __init__(self, channel): request_serializer=proto_dot_clarifai_dot_api_dot_service__pb2.GetInputRequest.SerializeToString, response_deserializer=wrap_response_deserializer(proto_dot_clarifai_dot_api_dot_service__pb2.SingleInputResponse), ) + self.GetInputVideoManifest = channel.unary_unary( + '/clarifai.api.V2/GetInputVideoManifest', + request_serializer=proto_dot_clarifai_dot_api_dot_service__pb2.GetVideoManifestRequest.SerializeToString, + response_deserializer=wrap_response_deserializer(proto_dot_clarifai_dot_api_dot_service__pb2.GetVideoManifestResponse), + ) self.ListInputs = channel.unary_unary( '/clarifai.api.V2/ListInputs', request_serializer=proto_dot_clarifai_dot_api_dot_service__pb2.ListInputsRequest.SerializeToString, @@ -1282,6 +1287,13 @@ def GetInput(self, request, context): context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') + def GetInputVideoManifest(self, request, context): + """Get a video input manifest. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + def ListInputs(self, request, context): """List all the inputs. """ @@ -1290,9 +1302,8 @@ def ListInputs(self, request, context): raise NotImplementedError('Method not implemented!') def PostInputs(self, request, context): - """Add an input (or set of inputs) to an app. - This call is synchronous if the PostInputsRequest contains exactly one image input. Otherwise, - it is asynchronous. + """Add 1 or more input to an app. + The actual inputs processing is asynchronous. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') @@ -2706,6 +2717,11 @@ def add_V2Servicer_to_server(servicer, server): request_deserializer=proto_dot_clarifai_dot_api_dot_service__pb2.GetInputRequest.FromString, response_serializer=proto_dot_clarifai_dot_api_dot_service__pb2.SingleInputResponse.SerializeToString, ), + 'GetInputVideoManifest': grpc.unary_unary_rpc_method_handler( + servicer.GetInputVideoManifest, + request_deserializer=proto_dot_clarifai_dot_api_dot_service__pb2.GetVideoManifestRequest.FromString, + response_serializer=proto_dot_clarifai_dot_api_dot_service__pb2.GetVideoManifestResponse.SerializeToString, + ), 'ListInputs': grpc.unary_unary_rpc_method_handler( servicer.ListInputs, request_deserializer=proto_dot_clarifai_dot_api_dot_service__pb2.ListInputsRequest.FromString, @@ -4104,6 +4120,23 @@ def GetInput(request, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + @staticmethod + def GetInputVideoManifest(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/clarifai.api.V2/GetInputVideoManifest', + proto_dot_clarifai_dot_api_dot_service__pb2.GetVideoManifestRequest.SerializeToString, + proto_dot_clarifai_dot_api_dot_service__pb2.GetVideoManifestResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + @staticmethod def ListInputs(request, target, diff --git a/clarifai_grpc/grpc/api/status/status_code_pb2.py b/clarifai_grpc/grpc/api/status/status_code_pb2.py index a8681304..637c4e02 100644 --- a/clarifai_grpc/grpc/api/status/status_code_pb2.py +++ b/clarifai_grpc/grpc/api/status/status_code_pb2.py @@ -13,7 +13,7 @@ -DESCRIPTOR = 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\n\x1aINTERNAL_AWS_UNCATEGORIZED\x10\xe0\xfd\x05\x12\"\n\x1cINTERNAL_AZURE_UNCATEGORIZED\x10\xe1\xfd\x05\x12\x18\n\x12\x43ONN_UNCATEGORIZED\x10\xb9\x85\x06\x12\x19\n\x13MODEL_UNCATEGORIZED\x10\xba\x85\x06\x12\x19\n\x13INPUT_UNCATEGORIZED\x10\xbb\x85\x06\x12\x1e\n\x18\x41NNOTATION_UNCATEGORIZED\x10\xbc\x85\x06\x12\x1b\n\x15\x42ILLING_UNCATEGORIZED\x10\xbd\x85\x06\x12\x1c\n\x16INTERNAL_UNCATEGORIZED\x10\xc1\x85\x06\x12\x11\n\x0b\x42\x41\x44_REQUEST\x10\xa0\xc2\x05\x12\x12\n\x0cSERVER_ERROR\x10\x84\xc3\x05\"\x08\x08\xbf\xc6\x01\x10\xbf\xc6\x01\"\x08\x08\xe8\x81\x02\x10\xe8\x81\x02\"\x08\x08\xe9\x81\x02\x10\xe9\x81\x02\"\x08\x08\xea\x81\x02\x10\xea\x81\x02\"\x08\x08\xcc\x82\x02\x10\xcc\x82\x02\"\x08\x08\xcd\x82\x02\x10\xcd\x82\x02\"\x08\x08\xce\x82\x02\x10\xce\x82\x02\"\x08\x08\xcf\x82\x02\x10\xcf\x82\x02\"\x08\x08\xd0\x82\x02\x10\xd0\x82\x02\"\x08\x08\xd1\x82\x02\x10\xd1\x82\x02\"\x08\x08\xd2\x82\x02\x10\xd2\x82\x02\"\x08\x08\xb0\x83\x02\x10\xb0\x83\x02\"\x08\x08\xb1\x83\x02\x10\xb1\x83\x02\"\x08\x08\xb3\x83\x02\x10\xb3\x83\x02\"\x08\x08\xba\x83\x02\x10\xba\x83\x02\"\x08\x08\xbb\xb8\x02\x10\xbb\xb8\x02\"\x08\x08\xd2\xb8\x02\x10\xd2\xb8\x02\"\x08\x08\xd3\xb8\x02\x10\xd3\xb8\x02\"\x08\x08\xf0\xc1\x02\x10\xf0\xc1\x02\"\x08\x08\xf1\xc1\x02\x10\xf1\xc1\x02\"\x08\x08\xf2\xc1\x02\x10\xf2\xc1\x02\"\x08\x08\xf3\xc1\x02\x10\xf3\xc1\x02\"\x08\x08\xf4\xc1\x02\x10\xf4\xc1\x02\"\x08\x08\x9c\xc7\x01\x10\x9c\xc7\x01\"\x08\x08\x9d\xc7\x01\x10\x9d\xc7\x01\"\x08\x08\x9e\xc7\x01\x10\x9e\xc7\x01\"\x08\x08\x9f\xc7\x01\x10\x9f\xc7\x01\"\x08\x08\xa1\xc7\x01\x10\xa1\xc7\x01\"\x08\x08\xa2\xc7\x01\x10\xa2\xc7\x01\x42g\n\x1c\x63om.clarifai.grpc.api.statusP\x01Z>github.com/Clarifai/clarifai-go-grpc/proto/clarifai/api/status\xa2\x02\x04\x43\x41IPb\x06proto3') +DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n+proto/clarifai/api/status/status_code.proto\x12\x13\x63larifai.api.status*\xa3Q\n\nStatusCode\x12\x08\n\x04ZERO\x10\x00\x12\x0c\n\x07SUCCESS\x10\x90N\x12\x11\n\x0cMIXED_STATUS\x10\x9aN\x12\x0c\n\x07\x46\x41ILURE\x10\xa4N\x12\x0e\n\tTRY_AGAIN\x10\xaeN\x12\x14\n\x0fNOT_IMPLEMENTED\x10\xb8N\x12\n\n\x05MOVED\x10\xc2N\x12\x18\n\x13\x43ONN_ACCOUNT_ISSUES\x10\xf8U\x12\x1b\n\x12\x43ONN_TOKEN_INVALID\x10\xf9U\x1a\x02\x08\x01\x12\x1d\n\x18\x43ONN_CREDENTIALS_INVALID\x10\xfaU\x12\x1d\n\x18\x43ONN_EXCEED_HOURLY_LIMIT\x10\xfbU\x12\x1e\n\x19\x43ONN_EXCEED_MONTHLY_LIMIT\x10\xfcU\x12\x13\n\x0e\x43ONN_THROTTLED\x10\xfdU\x12\x18\n\x13\x43ONN_EXCEEDS_LIMITS\x10\xfeU\x12\x1d\n\x18\x43ONN_INSUFFICIENT_SCOPES\x10\xffU\x12\x15\n\x10\x43ONN_KEY_INVALID\x10\x80V\x12\x17\n\x12\x43ONN_KEY_NOT_FOUND\x10\x81V\x12\x1c\n\x17\x43ONN_BAD_REQUEST_FORMAT\x10\xdcV\x12\x18\n\x13\x43ONN_DOES_NOT_EXIST\x10\xddV\x12\x19\n\x14\x43ONN_INVALID_REQUEST\x10\xdeV\x12\x1c\n\x17\x43ONN_METHOD_NOT_ALLOWED\x10\xdfV\x12\x19\n\x14\x43ONN_NO_GDPR_CONSENT\x10\xe0V\x12\x1e\n\x19\x43ONN_AUTH_METHOD_DISABLED\x10\xc0W\x12\x13\n\rMODEL_TRAINED\x10\xec\xa4\x01\x12\x14\n\x0eMODEL_TRAINING\x10\xed\xa4\x01\x12\x15\n\x0fMODEL_UNTRAINED\x10\xee\xa4\x01\x12\x1f\n\x19MODEL_QUEUED_FOR_TRAINING\x10\xef\xa4\x01\x12\x15\n\x0fMODEL_UPLOADING\x10\xf0\xa4\x01\x12\x1c\n\x16MODEL_UPLOADING_FAILED\x10\xf1\xa4\x01\x12\x1b\n\x15MODEL_TRAINING_FAILED\x10\xf2\xa4\x01\x12\x1c\n\x16MODEL_TRAINING_NO_DATA\x10\xf6\xa4\x01\x12!\n\x1bMODEL_TRAINING_NO_POSITIVES\x10\xf7\xa4\x01\x12*\n$MODEL_TRAINING_ONE_VS_N_SINGLE_CLASS\x10\xf8\xa4\x01\x12\x1e\n\x18MODEL_TRAINING_TIMED_OUT\x10\xf9\xa4\x01\x12\"\n\x1cMODEL_TRAINING_WAITING_ERROR\x10\xfa\xa4\x01\x12\"\n\x1cMODEL_TRAINING_UNKNOWN_ERROR\x10\xfb\xa4\x01\x12&\n\x1cMODEL_TRAINING_MSG_REDELIVER\x10\xfc\xa4\x01\x1a\x02\x08\x01\x12&\n MODEL_TRAINING_INSUFFICIENT_DATA\x10\xfd\xa4\x01\x12#\n\x1dMODEL_TRAINING_INVALID_PARAMS\x10\xfe\xa4\x01\x12\x34\n.MODEL_TRAINING_INVALID_DATA_TOLERANCE_EXCEEDED\x10\xff\xa4\x01\x12\x1a\n\x14MODEL_MODIFY_SUCCESS\x10\x9e\xa5\x01\x12\x1a\n\x14MODEL_MODIFY_PENDING\x10\x9f\xa5\x01\x12\x19\n\x13MODEL_MODIFY_FAILED\x10\xa0\xa5\x01\x12\x1a\n\x14MODEL_DOES_NOT_EXIST\x10\xd0\xa5\x01\x12\x1d\n\x17MODEL_PERMISSION_DENIED\x10\xd1\xa5\x01\x12\x1c\n\x16MODEL_INVALID_ARGUMENT\x10\xd2\xa5\x01\x12\x1b\n\x15MODEL_INVALID_REQUEST\x10\xd3\xa5\x01\x12\x15\n\x0fMODEL_EVALUATED\x10\xb4\xa6\x01\x12\x16\n\x10MODEL_EVALUATING\x10\xb5\xa6\x01\x12\x19\n\x13MODEL_NOT_EVALUATED\x10\xb6\xa6\x01\x12!\n\x1bMODEL_QUEUED_FOR_EVALUATION\x10\xb7\xa6\x01\x12 \n\x1aMODEL_EVALUATION_TIMED_OUT\x10\xbe\xa6\x01\x12$\n\x1eMODEL_EVALUATION_WAITING_ERROR\x10\xbf\xa6\x01\x12$\n\x1eMODEL_EVALUATION_UNKNOWN_ERROR\x10\xc0\xa6\x01\x12\x1d\n\x17MODEL_PREDICTION_FAILED\x10\xc1\xa6\x01\x12(\n\x1eMODEL_EVALUATION_MSG_REDELIVER\x10\xc2\xa6\x01\x1a\x02\x08\x01\x12\"\n\x1cMODEL_EVALUATION_NEED_LABELS\x10\xc3\xa6\x01\x12\"\n\x1cMODEL_EVALUATION_NEED_INPUTS\x10\xc4\xa6\x01\x12\x1d\n\x17MODEL_EVALUATION_FAILED\x10\xc5\xa6\x01\x12\x1d\n\x17MODEL_DEPLOYMENT_FAILED\x10\xe6\xa6\x01\x12\x15\n\x0fMODEL_DEPLOYING\x10\xe7\xa6\x01\x12!\n\x1bMODEL_QUEUED_FOR_DEPLOYMENT\x10\xe8\xa6\x01\x12\x18\n\x12MODEL_NOT_DEPLOYED\x10\xe9\xa6\x01\x12&\n MODEL_REFERENCE_INVALID_ARGUMENT\x10\x98\xa7\x01\x12*\n$MODEL_EXAMPLE_INPUT_INVALID_ARGUMENT\x10\xac\xa7\x01\x12 \n\x1aWORKFLOW_NO_MATCHING_INPUT\x10\xf1\xab\x01\x12$\n\x1eWORKFLOW_REQUIRE_TRAINED_MODEL\x10\xf2\xab\x01\x12\x18\n\x12WORKFLOW_DUPLICATE\x10\xd4\xac\x01\x12!\n\x1bWORKFLOW_UNSUPPORTED_FORMAT\x10\xd5\xac\x01\x12\x1d\n\x17WORKFLOW_DOES_NOT_EXIST\x10\xd6\xac\x01\x12 \n\x1aWORKFLOW_PERMISSION_DENIED\x10\xd7\xac\x01\x12\x1f\n\x19WORKFLOW_INVALID_ARGUMENT\x10\xd8\xac\x01\x12\x1d\n\x17WORKFLOW_INVALID_RECIPE\x10\xd9\xac\x01\x12\x1f\n\x19WORKFLOW_INVALID_TEMPLATE\x10\xda\xac\x01\x12\x1c\n\x16WORKFLOW_INVALID_GRAPH\x10\xdb\xac\x01\x12\x1f\n\x19WORKFLOW_INTERNAL_FAILURE\x10\xdc\xac\x01\x12\x1e\n\x18WORKFLOW_INVALID_REQUEST\x10\xd7\xb3\x01\x12\x1d\n\x17WORKFLOW_MODIFY_SUCCESS\x10\x86\xad\x01\x12\x1d\n\x17WORKFLOW_MODIFY_PENDING\x10\x87\xad\x01\x12\x1c\n\x16WORKFLOW_MODIFY_FAILED\x10\x88\xad\x01\x12\x1d\n\x17WORKFLOW_REINDEX_FAILED\x10\x89\xad\x01\x12\x1c\n\x16\x43ONCEPT_MODIFY_SUCCESS\x10\xee\xb4\x01\x12\x1c\n\x16\x43ONCEPT_MODIFY_PENDING\x10\xef\xb4\x01\x12\x1b\n\x15\x43ONCEPT_MODIFY_FAILED\x10\xf0\xb4\x01\x12\x18\n\x12\x41NNOTATION_SUCCESS\x10\xd6\xbc\x01\x12\x18\n\x12\x41NNOTATION_PENDING\x10\xd7\xbc\x01\x12\x17\n\x11\x41NNOTATION_FAILED\x10\xd8\xbc\x01\x12\x1f\n\x19\x41NNOTATION_UNKNOWN_STATUS\x10\xda\xbc\x01\x12!\n\x1b\x41NNOTATION_INVALID_ARGUMENT\x10\xdb\xbc\x01\x12\"\n\x1c\x41NNOTATION_PERMISSION_DENIED\x10\xdc\xbc\x01\x12 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\n\x1aTRAINER_JOB_STATE_COMPLETE\x10\xab\xc3\x01\x12\x1d\n\x17TRAINER_JOB_STATE_ERROR\x10\xac\xc3\x01\x12\x17\n\x11\x44\x41TA_DUMP_SUCCESS\x10\xbe\xc4\x01\x12\x17\n\x11\x44\x41TA_DUMP_PENDING\x10\xbf\xc4\x01\x12\x16\n\x10\x44\x41TA_DUMP_FAILED\x10\xc0\xc4\x01\x12\x1b\n\x15\x44\x41TA_DUMP_IN_PROGRESS\x10\xc1\xc4\x01\x12\x1b\n\x11\x44\x41TA_DUMP_NO_DATA\x10\xc2\xc4\x01\x1a\x02\x08\x01\x12 \n\x1a\x44\x41TA_DUMP_UNEXPECTED_ERROR\x10\xc3\xc4\x01\x12\x1e\n\x18\x44\x41TA_DUMP_EXPORT_SUCCESS\x10\xd2\xc4\x01\x12\x1e\n\x18\x44\x41TA_DUMP_EXPORT_PENDING\x10\xd3\xc4\x01\x12\x1d\n\x17\x44\x41TA_DUMP_EXPORT_FAILED\x10\xd4\xc4\x01\x12\"\n\x1c\x44\x41TA_DUMP_EXPORT_IN_PROGRESS\x10\xd5\xc4\x01\x12\'\n!DATA_DUMP_EXPORT_UNEXPECTED_ERROR\x10\xd6\xc4\x01\x12\x1d\n\x17\x41PP_DUPLICATION_SUCCESS\x10\xf0\xc4\x01\x12\x1c\n\x16\x41PP_DUPLICATION_FAILED\x10\xf1\xc4\x01\x12\x1d\n\x17\x41PP_DUPLICATION_PENDING\x10\xf2\xc4\x01\x12!\n\x1b\x41PP_DUPLICATION_IN_PROGRESS\x10\xf3\xc4\x01\x12%\n\x1f\x41PP_DUPLICATION_INVALID_REQUEST\x10\xf4\xc4\x01\x12\x1b\n\x15MODULE_DOES_NOT_EXIST\x10\xd4\xc5\x01\x12\x1e\n\x18MODULE_PERMISSION_DENIED\x10\xd5\xc5\x01\x12\x1d\n\x17MODULE_INVALID_ARGUMENT\x10\xd6\xc5\x01\x12\x1c\n\x16MODULE_INVALID_REQUEST\x10\xd7\xc5\x01\x12\x1c\n\x16\x42ULK_OPERATION_SUCCESS\x10\xb8\xc6\x01\x12\x1b\n\x15\x42ULK_OPERATION_FAILED\x10\xb9\xc6\x01\x12\x1c\n\x16\x42ULK_OPERATION_PENDING\x10\xba\xc6\x01\x12 \n\x1a\x42ULK_OPERATION_IN_PROGRESS\x10\xbb\xc6\x01\x12$\n\x1e\x42ULK_OPERATION_INVALID_REQUEST\x10\xbc\xc6\x01\x12\x1e\n\x18\x42ULK_OPERATION_CANCELLED\x10\xbd\xc6\x01\x12%\n\x1f\x42ULK_OPERATION_UNEXPECTED_ERROR\x10\xbe\xc6\x01\x12\x1c\n\x16INPUT_DOWNLOAD_SUCCESS\x10\xb0\xea\x01\x12\x1c\n\x16INPUT_DOWNLOAD_PENDING\x10\xb1\xea\x01\x12\x1b\n\x15INPUT_DOWNLOAD_FAILED\x10\xb2\xea\x01\x12 \n\x1aINPUT_DOWNLOAD_IN_PROGRESS\x10\xb3\xea\x01\x12 \n\x1aINPUT_STATUS_UPDATE_FAILED\x10\xb4\xea\x01\x12\x19\n\x13INPUT_DELETE_FAILED\x10\xb5\xea\x01\x12\x15\n\x0fINPUT_DUPLICATE\x10\x94\xeb\x01\x12\x1e\n\x18INPUT_UNSUPPORTED_FORMAT\x10\x95\xeb\x01\x12\x1a\n\x14INPUT_DOES_NOT_EXIST\x10\x96\xeb\x01\x12\x1d\n\x17INPUT_PERMISSION_DENIED\x10\x97\xeb\x01\x12\x1c\n\x16INPUT_INVALID_ARGUMENT\x10\x98\xeb\x01\x12\x16\n\x10INPUT_OVER_LIMIT\x10\x99\xeb\x01\x12\x17\n\x11INPUT_INVALID_URL\x10\x9a\xeb\x01\x12\x1a\n\x14INPUT_MODIFY_SUCCESS\x10\xf8\xeb\x01\x12\x1a\n\x14INPUT_MODIFY_PENDING\x10\xf9\xeb\x01\x12\x19\n\x13INPUT_MODIFY_FAILED\x10\xfb\xeb\x01\x12\x1f\n\x19INPUT_STORAGE_HOST_FAILED\x10\x82\xec\x01\x12\x1d\n\x17\x41LL_INPUT_INVALID_BYTES\x10\xdc\xec\x01\x12\x1b\n\x15INPUT_CLUSTER_SUCCESS\x10\xc0\xed\x01\x12\x1b\n\x15INPUT_CLUSTER_PENDING\x10\xc1\xed\x01\x12\x1a\n\x14INPUT_CLUSTER_FAILED\x10\xc2\xed\x01\x12\x1f\n\x19INPUT_CLUSTER_IN_PROGRESS\x10\xc3\xed\x01\x12\x1b\n\x15INPUT_REINDEX_SUCCESS\x10\xa4\xee\x01\x12\x1b\n\x15INPUT_REINDEX_PENDING\x10\xa5\xee\x01\x12\x1a\n\x14INPUT_REINDEX_FAILED\x10\xa6\xee\x01\x12\x1f\n\x19INPUT_REINDEX_IN_PROGRESS\x10\xa7\xee\x01\x12\"\n\x1cINPUT_VIDEO_DOWNLOAD_SUCCESS\x10\x98\xf2\x01\x12\"\n\x1cINPUT_VIDEO_DOWNLOAD_PENDING\x10\x99\xf2\x01\x12!\n\x1bINPUT_VIDEO_DOWNLOAD_FAILED\x10\x9a\xf2\x01\x12\x1b\n\x15INPUT_VIDEO_DUPLICATE\x10\xfc\xf2\x01\x12$\n\x1eINPUT_VIDEO_UNSUPPORTED_FORMAT\x10\xfd\xf2\x01\x12 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REQUEST_DISABLED_FOR_MAINTENANCE\x10\xbd\xb8\x02\x12/\n%INPUT_WRITES_DISABLED_FOR_MAINTENANCE\x10\xbe\xb8\x02\x1a\x02\x08\x01\x12\x1b\n\x15INPUT_INVALID_REQUEST\x10\xbf\xb8\x02\x12\x1d\n\x17PREDICT_INVALID_REQUEST\x10\xc1\xb8\x02\x12\x1c\n\x16SEARCH_INVALID_REQUEST\x10\xc2\xb8\x02\x12\x1e\n\x18\x43ONCEPTS_INVALID_REQUEST\x10\xc3\xb8\x02\x12\x1b\n\x15STATS_INVALID_REQUEST\x10\xc4\xb8\x02\x12\x1c\n\x16\x44\x41TABASE_DUPLICATE_KEY\x10\xca\xb8\x02\x12 \n\x1a\x44\x41TABASE_STATEMENT_TIMEOUT\x10\xcb\xb8\x02\x12$\n\x1e\x44\x41TABASE_INVALID_ROWS_AFFECTED\x10\xcc\xb8\x02\x12 \n\x1a\x44\x41TABASE_DEADLOCK_DETECTED\x10\xcd\xb8\x02\x12\x18\n\x12\x44\x41TABASE_FAIL_TASK\x10\xce\xb8\x02\x12&\n DATABASE_FAIL_TO_GET_CONNECTIONS\x10\xcf\xb8\x02\x12\x1f\n\x19\x44\x41TABASE_TOO_MANY_CLIENTS\x10\xd0\xb8\x02\x12\"\n\x1c\x44\x41TABASE_CONSTRAINT_VIOLATED\x10\xd1\xb8\x02\x12\x17\n\x11\x44\x41TABASE_CANCELED\x10\xd5\xb8\x02\x12\x1f\n\x19\x41SYNC_WORKER_MULTI_ERRORS\x10\xd4\xb8\x02\x12\x1c\n\x16RPC_REQUEST_QUEUE_FULL\x10\xde\xb8\x02\x12\x1c\n\x16RPC_SERVER_UNAVAILABLE\x10\xdf\xb8\x02\x12\x19\n\x13RPC_REQUEST_TIMEOUT\x10\xe0\xb8\x02\x12#\n\x1dRPC_MAX_MESSAGE_SIZE_EXCEEDED\x10\xe1\xb8\x02\x12\x12\n\x0cRPC_CANCELED\x10\xe3\xb8\x02\x12\x18\n\x12RPC_UNKNOWN_METHOD\x10\xe4\xb8\x02\x12\x1e\n\x18REQUEST_CANCELED_BY_USER\x10\xe5\xb8\x02\x12\x1e\n\x18\x43LUSTER_INTERNAL_FAILURE\x10\xa0\xd0\x02\x12\x1f\n\x19\x45XTERNAL_CONNECTION_ERROR\x10\xe2\xb8\x02\x12\x1a\n\x14QUERY_INVALID_SYNTAX\x10\xf2\xb8\x02\x12\x16\n\x10QUEUE_CONN_ERROR\x10\xa8\xc0\x02\x12!\n\x1bQUEUE_CLOSE_REQUEST_TIMEOUT\x10\xaa\xc0\x02\x12\x17\n\x11QUEUE_CONN_CLOSED\x10\xab\xc0\x02\x12\x1f\n\x19QUEUE_PUBLISH_ACK_TIMEOUT\x10\xac\xc0\x02\x12\x19\n\x13QUEUE_PUBLISH_ERROR\x10\xad\xc0\x02\x12 \n\x1aQUEUE_SUBSCRIPTION_TIMEOUT\x10\xae\xc0\x02\x12\x1e\n\x18QUEUE_SUBSCRIPTION_ERROR\x10\xaf\xc0\x02\x12\x1e\n\x18QUEUE_MARSHALLING_FAILED\x10\xb0\xc0\x02\x12 \n\x1aQUEUE_UNMARSHALLING_FAILED\x10\xb1\xc0\x02\x12\'\n!QUEUE_MAX_MSG_REDELIVERY_EXCEEDED\x10\xb2\xc0\x02\x12\x17\n\x11QUEUE_ACK_FAILURE\x10\xb3\xc0\x02\x12\x13\n\rSQS_OVERLIMIT\x10\x8c\xc1\x02\x12 \n\x1aSQS_INVALID_RECEIPT_HANDLE\x10\x8d\xc1\x02\x12\x11\n\x0bSQS_UNKNOWN\x10\x8e\xc1\x02\x12\x1d\n\x17SEARCH_INTERNAL_FAILURE\x10\xf9\xcf\x02\x12\x1f\n\x19SEARCH_PROJECTION_FAILURE\x10\xfa\xcf\x02\x12\x1f\n\x19SEARCH_PREDICTION_FAILURE\x10\xfb\xcf\x02\x12\'\n!SEARCH_BY_NOT_FULLY_INDEXED_INPUT\x10\xfc\xcf\x02\x12 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REDIS_SCRIPT_EXITED_WITH_FAILURE\x10\xca\xdf\x02\x12\x16\n\x10REDIS_STREAM_ERR\x10\xcb\xdf\x02\x12\x18\n\x12REDIS_NO_CONSUMERS\x10\xcc\xdf\x02\x12\x1a\n\x14REDIS_STREAM_BACKOFF\x10\xcd\xdf\x02\x12\x18\n\x12SIGNUP_EVENT_ERROR\x10\xb1\xe7\x02\x12\x14\n\x0eSIGNUP_FLAGGED\x10\xb2\xe7\x02\x12\x1a\n\x14\x46ILETYPE_UNSUPPORTED\x10\xb3\xe7\x02\x12\x1f\n\x19\x41PP_COUNT_INVALID_MESSAGE\x10\x99\xef\x02\x12\'\n!APP_COUNT_UPDATE_INCREMENT_FAILED\x10\x9a\xef\x02\x12\x1e\n\x18\x41PP_COUNT_REBUILD_FAILED\x10\x9b\xef\x02\x12 \n\x1a\x41PP_COUNT_INTERNAL_FAILURE\x10\x9c\xef\x02\x12\x17\n\x11MP_DOWNLOAD_ERROR\x10\xfd\xef\x02\x12\x1a\n\x14MP_RESOLVE_DNS_ERROR\x10\xfe\xef\x02\x12)\n#MP_DOWNLOAD_MAX_SIZE_EXCEEDED_ERROR\x10\xff\xef\x02\x12\x1b\n\x15MP_IMAGE_DECODE_ERROR\x10\x80\xf0\x02\x12\x19\n\x13MP_INVALID_ARGUMENT\x10\x81\xf0\x02\x12\x1f\n\x19MP_IMAGE_PROCESSING_ERROR\x10\x82\xf0\x02\x12\x19\n\x13\x44\x41TATIER_CONN_ERROR\x10\xe1\xf0\x02\x12\x17\n\x11USER_CONSENT_FACE\x10\xd1\x86\x03\x12\x14\n\x0eWORKER_MISSING\x10\xb8\x8e\x03\x12\x13\n\rWORKER_ACTIVE\x10\xb9\x8e\x03\x12\x15\n\x0fWORKER_INACTIVE\x10\xba\x8e\x03\x12\x17\n\x11\x43OLLECTOR_MISSING\x10\xa0\x96\x03\x12\x16\n\x10\x43OLLECTOR_ACTIVE\x10\xa1\x96\x03\x12\x18\n\x12\x43OLLECTOR_INACTIVE\x10\xa2\x96\x03\x12!\n\x1b\x43OLLECTOR_POST_INPUT_FAILED\x10\xa3\x96\x03\x12*\n$SSO_IDENTITY_PROVIDER_DOES_NOT_EXIST\x10\x89\x9e\x03\x12\x16\n\x10TASK_IN_PROGRESS\x10\xf1\xa5\x03\x12\x0f\n\tTASK_DONE\x10\xf2\xa5\x03\x12\x12\n\x0cTASK_WONT_DO\x10\xf3\xa5\x03\x12\"\n\x1cTASK_ADD_ANNOTATIONS_FAILURE\x10\xf5\xa5\x03\x12\x13\n\rTASK_CONFLICT\x10\xd4\xa6\x03\x12\x1a\n\x14TASK_NOT_IMPLEMENTED\x10\xd5\xa6\x03\x12\x12\n\x0cTASK_MISSING\x10\xd6\xa6\x03\x12\x19\n\x13LABEL_ORDER_PENDING\x10\xd9\xad\x03\x12\x1d\n\x17LABEL_ORDER_IN_PROGRESS\x10\xda\xad\x03\x12\x19\n\x13LABEL_ORDER_SUCCESS\x10\xdb\xad\x03\x12\x1a\n\x14LABEL_ORDER_CANCELED\x10\xdc\xad\x03\x12\x14\n\x0eLICENSE_ACTIVE\x10\xe0\xd4\x03\x12\x1c\n\x16LICENSE_DOES_NOT_EXIST\x10\xe1\xd4\x03\x12\x19\n\x13LICENSE_NEED_UPDATE\x10\xe2\xd4\x03\x12\x15\n\x0fLICENSE_EXPIRED\x10\xe3\xd4\x03\x12\x15\n\x0fLICENSE_REVOKED\x10\xe4\xd4\x03\x12\x15\n\x0fLICENSE_DELETED\x10\xe5\xd4\x03\x12\x1d\n\x17LICENSE_VOLUME_EXCEEDED\x10\xe6\xd4\x03\x12!\n\x1bPASSWORD_VALIDATION_SUCCESS\x10\xc8\xdc\x03\x12 \n\x1aPASSWORD_VALIDATION_FAILED\x10\xc9\xdc\x03\x12%\n\x1fPASSWORDPOLICY_INVALID_ARGUMENT\x10\xca\xdc\x03\x12\"\n\x1c\x46\x45\x41TUREFLAG_CONFIG_NOT_FOUND\x10\xb0\xe4\x03\x12\"\n\x1c\x46\x45\x41TUREFLAG_INVALID_ARGUMENT\x10\xb1\xe4\x03\x12\x19\n\x13\x46\x45\x41TUREFLAG_BLOCKED\x10\xb2\xe4\x03\x12\x19\n\x13MAINTENANCE_SUCCESS\x10\x98\xec\x03\x12\x18\n\x12MAINTENANCE_FAILED\x10\x99\xec\x03\x12\x1d\n\x17\x44\x41TASET_VERSION_PENDING\x10\x85\xf4\x03\x12!\n\x1b\x44\x41TASET_VERSION_IN_PROGRESS\x10\x8a\xf4\x03\x12\x1b\n\x15\x44\x41TASET_VERSION_READY\x10\x8f\xf4\x03\x12\x1d\n\x17\x44\x41TASET_VERSION_FAILURE\x10\x94\xf4\x03\x12&\n DATASET_VERSION_UNEXPECTED_ERROR\x10\x99\xf4\x03\x12\x1e\n\x18\x44\x41TASET_VERSION_CONFLICT\x10\x9e\xf4\x03\x12\x1b\n\x15\x44\x41TASET_INPUT_SUCCESS\x10\xe4\xf4\x03\x12\x1d\n\x17\x44\x41TASET_INPUT_DUPLICATE\x10\xe5\xf4\x03\x12$\n\x1e\x44\x41TASET_VERSION_EXPORT_SUCCESS\x10\xc8\xf5\x03\x12$\n\x1e\x44\x41TASET_VERSION_EXPORT_PENDING\x10\xc9\xf5\x03\x12#\n\x1d\x44\x41TASET_VERSION_EXPORT_FAILED\x10\xca\xf5\x03\x12(\n\"DATASET_VERSION_EXPORT_IN_PROGRESS\x10\xcb\xf5\x03\x12-\n\'DATASET_VERSION_EXPORT_UNEXPECTED_ERROR\x10\xcc\xf5\x03\x12\x10\n\nJOB_QUEUED\x10\x80\xf4\x03\x12\x11\n\x0bJOB_RUNNING\x10\x81\xf4\x03\x12\x13\n\rJOB_COMPLETED\x10\x82\xf4\x03\x12\x10\n\nJOB_FAILED\x10\x83\xf4\x03\x12\x13\n\rJOB_CANCELLED\x10\x84\xf4\x03\x12\x1a\n\x14JOB_UNEXPECTED_ERROR\x10\x86\xf4\x03\x12\x1c\n\x16\x41UTH_MISSING_IDP_ASSOC\x10\xe8\xfb\x03\x12\x19\n\x13LIST_OBJECTS_FAILED\x10\xd0\x83\x04\x12\x1c\n\x16\x41RCHIVE_EXTRACT_FAILED\x10\xb8\x8b\x04\x12\x18\n\x12UPLOAD_IN_PROGRESS\x10\xa0\x93\x04\x12\x11\n\x0bUPLOAD_DONE\x10\xa1\x93\x04\x12\x13\n\rUPLOAD_FAILED\x10\xa2\x93\x04\x12\x1d\n\x17UPLOAD_UNEXPECTED_ERROR\x10\xa3\x93\x04\x12\x14\n\x0eUPLOAD_EXPIRED\x10\xa4\x93\x04\x12\x1a\n\x14\x42ILLING_INVALID_INFO\x10\x88\x9b\x04\x12\x1b\n\x15INTERNAL_SERVER_ISSUE\x10\xd4\xfd\x05\x12\x1d\n\x17INTERNAL_FETCHING_ISSUE\x10\xd5\xfd\x05\x12\x1d\n\x17INTERNAL_DATABASE_ISSUE\x10\xd6\xfd\x05\x12!\n\x1bINTERNAL_UNEXPECTED_TIMEOUT\x10\xd9\xfd\x05\x12\x1c\n\x16INTERNAL_UNEXPECTED_V1\x10\xda\xfd\x05\x12\x1f\n\x19INTERNAL_UNEXPECTED_PANIC\x10\xdb\xfd\x05\x12\x1f\n\x19INTERNAL_UNEXPECTED_SPIRE\x10\xdc\xfd\x05\x12 \n\x1aINTERNAL_REDIS_UNAVAILABLE\x10\xdd\xfd\x05\x12!\n\x1bINTERNAL_RESOURCE_EXHAUSTED\x10\xde\xfd\x05\x12\"\n\x1cINTERNAL_REDIS_UNCATEGORIZED\x10\xdf\xfd\x05\x12 \n\x1aINTERNAL_AWS_UNCATEGORIZED\x10\xe0\xfd\x05\x12\"\n\x1cINTERNAL_AZURE_UNCATEGORIZED\x10\xe1\xfd\x05\x12\x18\n\x12\x43ONN_UNCATEGORIZED\x10\xb9\x85\x06\x12\x19\n\x13MODEL_UNCATEGORIZED\x10\xba\x85\x06\x12\x19\n\x13INPUT_UNCATEGORIZED\x10\xbb\x85\x06\x12\x1e\n\x18\x41NNOTATION_UNCATEGORIZED\x10\xbc\x85\x06\x12\x1b\n\x15\x42ILLING_UNCATEGORIZED\x10\xbd\x85\x06\x12\x1c\n\x16INTERNAL_UNCATEGORIZED\x10\xc1\x85\x06\x12\x11\n\x0b\x42\x41\x44_REQUEST\x10\xa0\xc2\x05\x12\x12\n\x0cSERVER_ERROR\x10\x84\xc3\x05\"\x08\x08\xbf\xc6\x01\x10\xbf\xc6\x01\"\x08\x08\xe8\x81\x02\x10\xe8\x81\x02\"\x08\x08\xe9\x81\x02\x10\xe9\x81\x02\"\x08\x08\xea\x81\x02\x10\xea\x81\x02\"\x08\x08\xcc\x82\x02\x10\xcc\x82\x02\"\x08\x08\xcd\x82\x02\x10\xcd\x82\x02\"\x08\x08\xce\x82\x02\x10\xce\x82\x02\"\x08\x08\xcf\x82\x02\x10\xcf\x82\x02\"\x08\x08\xd0\x82\x02\x10\xd0\x82\x02\"\x08\x08\xd1\x82\x02\x10\xd1\x82\x02\"\x08\x08\xd2\x82\x02\x10\xd2\x82\x02\"\x08\x08\xb0\x83\x02\x10\xb0\x83\x02\"\x08\x08\xb1\x83\x02\x10\xb1\x83\x02\"\x08\x08\xb3\x83\x02\x10\xb3\x83\x02\"\x08\x08\xba\x83\x02\x10\xba\x83\x02\"\x08\x08\xbb\xb8\x02\x10\xbb\xb8\x02\"\x08\x08\xd2\xb8\x02\x10\xd2\xb8\x02\"\x08\x08\xd3\xb8\x02\x10\xd3\xb8\x02\"\x08\x08\xf0\xc1\x02\x10\xf0\xc1\x02\"\x08\x08\xf1\xc1\x02\x10\xf1\xc1\x02\"\x08\x08\xf2\xc1\x02\x10\xf2\xc1\x02\"\x08\x08\xf3\xc1\x02\x10\xf3\xc1\x02\"\x08\x08\xf4\xc1\x02\x10\xf4\xc1\x02\"\x08\x08\x9c\xc7\x01\x10\x9c\xc7\x01\"\x08\x08\x9d\xc7\x01\x10\x9d\xc7\x01\"\x08\x08\x9e\xc7\x01\x10\x9e\xc7\x01\"\x08\x08\x9f\xc7\x01\x10\x9f\xc7\x01\"\x08\x08\xa1\xc7\x01\x10\xa1\xc7\x01\"\x08\x08\xa2\xc7\x01\x10\xa2\xc7\x01\x42g\n\x1c\x63om.clarifai.grpc.api.statusP\x01Z>github.com/Clarifai/clarifai-go-grpc/proto/clarifai/api/status\xa2\x02\x04\x43\x41IPb\x06proto3') _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals()) _builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'proto.clarifai.api.status.status_code_pb2', globals()) @@ -27,6 +27,10 @@ _STATUSCODE.values_by_name["MODEL_TRAINING_MSG_REDELIVER"]._serialized_options = b'\010\001' _STATUSCODE.values_by_name["MODEL_EVALUATION_MSG_REDELIVER"]._options = None _STATUSCODE.values_by_name["MODEL_EVALUATION_MSG_REDELIVER"]._serialized_options = b'\010\001' + _STATUSCODE.values_by_name["DATA_DUMP_NO_DATA"]._options = None + _STATUSCODE.values_by_name["DATA_DUMP_NO_DATA"]._serialized_options = b'\010\001' + _STATUSCODE.values_by_name["INPUT_WRITES_DISABLED_FOR_MAINTENANCE"]._options = None + _STATUSCODE.values_by_name["INPUT_WRITES_DISABLED_FOR_MAINTENANCE"]._serialized_options = b'\010\001' _STATUSCODE._serialized_start=69 - _STATUSCODE._serialized_end=10464 + _STATUSCODE._serialized_end=10472 # @@protoc_insertion_point(module_scope) diff --git a/clarifai_grpc/grpc/api/status/status_code_pb2.pyi b/clarifai_grpc/grpc/api/status/status_code_pb2.pyi index 58eede4c..99074623 100644 --- a/clarifai_grpc/grpc/api/status/status_code_pb2.pyi +++ b/clarifai_grpc/grpc/api/status/status_code_pb2.pyi @@ -200,6 +200,7 @@ class _StatusCodeEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._Enu DATA_DUMP_FAILED: _StatusCode.ValueType # 25152 DATA_DUMP_IN_PROGRESS: _StatusCode.ValueType # 25153 DATA_DUMP_NO_DATA: _StatusCode.ValueType # 25154 + """DEPRECATED: Not used anymore. Now for an empty data dump, DATA_DUMP_SUCCESS is returned. To detect an empty data dump, check if the inptus count is 0.""" DATA_DUMP_UNEXPECTED_ERROR: _StatusCode.ValueType # 25155 DATA_DUMP_EXPORT_SUCCESS: _StatusCode.ValueType # 25170 DATA_DUMP_EXPORT_PENDING: _StatusCode.ValueType # 25171 @@ -273,6 +274,7 @@ class _StatusCodeEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._Enu INPUT_CONNECTION_FAILED: _StatusCode.ValueType # 39996 REQUEST_DISABLED_FOR_MAINTENANCE: _StatusCode.ValueType # 39997 INPUT_WRITES_DISABLED_FOR_MAINTENANCE: _StatusCode.ValueType # 39998 + """deprecate this one. Use REQUEST_DISABLED_FOR_MAINTENANCE""" INPUT_INVALID_REQUEST: _StatusCode.ValueType # 39999 PREDICT_INVALID_REQUEST: _StatusCode.ValueType # 40001 """API formatting issues 4000x""" @@ -672,6 +674,7 @@ DATA_DUMP_PENDING: StatusCode.ValueType # 25151 DATA_DUMP_FAILED: StatusCode.ValueType # 25152 DATA_DUMP_IN_PROGRESS: StatusCode.ValueType # 25153 DATA_DUMP_NO_DATA: StatusCode.ValueType # 25154 +"""DEPRECATED: Not used anymore. Now for an empty data dump, DATA_DUMP_SUCCESS is returned. To detect an empty data dump, check if the inptus count is 0.""" DATA_DUMP_UNEXPECTED_ERROR: StatusCode.ValueType # 25155 DATA_DUMP_EXPORT_SUCCESS: StatusCode.ValueType # 25170 DATA_DUMP_EXPORT_PENDING: StatusCode.ValueType # 25171 @@ -745,6 +748,7 @@ ALL_INPUT_VIDEOS_INVALID_BYTES: StatusCode.ValueType # 31300 INPUT_CONNECTION_FAILED: StatusCode.ValueType # 39996 REQUEST_DISABLED_FOR_MAINTENANCE: StatusCode.ValueType # 39997 INPUT_WRITES_DISABLED_FOR_MAINTENANCE: StatusCode.ValueType # 39998 +"""deprecate this one. Use REQUEST_DISABLED_FOR_MAINTENANCE""" INPUT_INVALID_REQUEST: StatusCode.ValueType # 39999 PREDICT_INVALID_REQUEST: StatusCode.ValueType # 40001 """API formatting issues 4000x""" diff --git a/setup.py b/setup.py index 378deeb4..adf548be 100644 --- a/setup.py +++ b/setup.py @@ -7,7 +7,7 @@ setuptools.setup( name="clarifai-grpc", - version="9.4.0", + version="9.5.0", author="Clarifai", author_email="support@clarifai.com", description="Clarifai gRPC API Client",