src.models.engine module#
Data models for inference engine services.
- src.models.engine.ContainerURI#
- alias of - ConstrainedStrValue
- class src.models.engine.CreateInferenceEngineService(*, modelId: str, imageUri: ConstrainedStrValue, containerPort: Optional[PositiveInt] = None, env: Optional[Dict[str, str]] = None, numGpus: ConstrainedFloatValue = 0)[source]#
- Bases: - BaseModel- Request model for creating an inference engine service. - class Config[source]#
- Bases: - object- Pydantic config to allow creation of data model from a JSON object with camelCase keys. - alias_generator() str#
- Converts a string to camel case. - Parameters:
- string (str) – Input string 
- Returns:
- Camel case string 
- Return type:
- str 
 
 
 - _abc_impl = <_abc._abc_data object>#
 - container_port: Optional[PositiveInt]#
 - env: Optional[Dict[str, str]]#
 - image_uri: ConstrainedStrValue#
 - model_id: str#
 - num_gpus: float#
 
- class src.models.engine.InferenceEngineService(*, modelId: str, imageUri: ConstrainedStrValue, containerPort: Optional[PositiveInt] = None, env: Optional[Dict[str, str]] = None, numGpus: ConstrainedFloatValue = 0, _id: PyObjectId = None, inferenceUrl: str, ownerId: str, serviceName: str, created: datetime, lastModified: datetime, host: str, path: str, protocol: str = 'http', backend: ServiceBackend)[source]#
- Bases: - CreateInferenceEngineService- Data model for inference engine service in database. - class Config[source]#
- Bases: - object- Pydantic config to allow creation of data model from a JSON object with camelCase keys and to convert ObjectId to str when returning JSON. - alias_generator() str#
- Converts a string to camel case. - Parameters:
- string (str) – Input string 
- Returns:
- Camel case string 
- Return type:
- str 
 
 - allow_population_by_field_name = True#
 - arbitrary_types_allowed = True#
 - json_encoders = {<class 'bson.objectid.ObjectId'>: <class 'str'>}#
 
 - _abc_impl = <_abc._abc_data object>#
 - backend: ServiceBackend#
 - created: datetime#
 - host: str#
 - id: PyObjectId#
 - inference_url: str#
 - last_modified: datetime#
 - owner_id: str#
 - path: str#
 - protocol: str#
 - service_name: str#
 
- class src.models.engine.InferenceServiceStatus(*, serviceName: str, status: K8SPhase = K8SPhase.UNKNOWN, message: str = '', ready: bool = True, schedulable: bool = True, expectedReplicas: ConstrainedIntValue = 1)[source]#
- Bases: - BaseModel- class Config[source]#
- Bases: - object- Pydantic config to allow creation of data model from a JSON object with camelCase keys. - alias_generator() str#
- Converts a string to camel case. - Parameters:
- string (str) – Input string 
- Returns:
- Camel case string 
- Return type:
- str 
 
 - allow_population_by_field_name = True#
 
 - _abc_impl = <_abc._abc_data object>#
 - expected_replicas: int#
 - message: str#
 - ready: bool#
 - schedulable: bool#
 - service_name: str#
 
- class src.models.engine.K8SPhase(value)[source]#
- Bases: - str,- Enum- Enum for K8S phase. - FAILED = 'Failed'#
 - PENDING = 'Pending'#
 - RUNNING = 'Running'#
 - SUCCEEDED = 'Succeeded'#
 - UNKNOWN = 'Unknown'#
 - _generate_next_value_(start, count, last_values)#
- Generate the next value when not given. - name: the name of the member start: the initial start value or None count: the number of existing members last_value: the last value assigned or None 
 - _member_map_ = {'FAILED': K8SPhase.FAILED, 'PENDING': K8SPhase.PENDING, 'RUNNING': K8SPhase.RUNNING, 'SUCCEEDED': K8SPhase.SUCCEEDED, 'UNKNOWN': K8SPhase.UNKNOWN}#
 - _member_names_ = ['PENDING', 'RUNNING', 'SUCCEEDED', 'FAILED', 'UNKNOWN']#
 - _member_type_#
- alias of - str
 - _value2member_map_ = {'Failed': K8SPhase.FAILED, 'Pending': K8SPhase.PENDING, 'Running': K8SPhase.RUNNING, 'Succeeded': K8SPhase.SUCCEEDED, 'Unknown': K8SPhase.UNKNOWN}#
 
- class src.models.engine.ServiceBackend(value)[source]#
- Bases: - str,- Enum- Enum for service backend. - EMISSARY = 'emissary'#
 - KNATIVE = 'knative'#
 - _generate_next_value_(start, count, last_values)#
- Generate the next value when not given. - name: the name of the member start: the initial start value or None count: the number of existing members last_value: the last value assigned or None 
 - _member_map_ = {'EMISSARY': ServiceBackend.EMISSARY, 'KNATIVE': ServiceBackend.KNATIVE}#
 - _member_names_ = ['KNATIVE', 'EMISSARY']#
 - _member_type_#
- alias of - str
 - _value2member_map_ = {'emissary': ServiceBackend.EMISSARY, 'knative': ServiceBackend.KNATIVE}#
 
- class src.models.engine.UpdateInferenceEngineService(*, imageUri: ConstrainedStrValue, containerPort: Optional[PositiveInt] = None, env: Optional[dict] = None, numGpus: ConstrainedFloatValue = 0)[source]#
- Bases: - BaseModel- Request model for updating an inference engine service. - class Config[source]#
- Bases: - object- Pydantic config to allow creation of data model from a JSON object with camelCase keys. - alias_generator() str#
- Converts a string to camel case. - Parameters:
- string (str) – Input string 
- Returns:
- Camel case string 
- Return type:
- str 
 
 - arbitrary_types_allowed = True#
 - json_encoders = {<class 'bson.objectid.ObjectId'>: <class 'str'>}#
 
 - _abc_impl = <_abc._abc_data object>#
 - container_port: Optional[PositiveInt]#
 - env: Optional[dict]#
 - image_uri: ConstrainedStrValue#
 - num_gpus: float#