abacusai.pipeline_step_version

Classes

`CodeSource`	Code source for python-based custom feature groups and models
`PipelineStepVersionReference`	A reference from a pipeline step version to the versions that were output from the pipeline step.
`AbstractApiClass`
`PipelineStepVersion`	A version of a pipeline step.

Module Contents

class abacusai.pipeline_step_version.CodeSource(client, sourceType=None, sourceCode=None, applicationConnectorId=None, applicationConnectorInfo=None, packageRequirements=None, status=None, error=None, publishingMsg=None, moduleDependencies=None)

Bases: abacusai.return_class.AbstractApiClass

Code source for python-based custom feature groups and models

Parameters:

client (ApiClient) – An authenticated API Client instance
sourceType (str) – The type of the source, one of TEXT, PYTHON, FILE_UPLOAD, or APPLICATION_CONNECTOR
sourceCode (str) – If the type of the source is TEXT, the raw text of the function
applicationConnectorId (str) – The Application Connector to fetch the code from
applicationConnectorInfo (str) – Args passed to the application connector to fetch the code
packageRequirements (list) – The pip package dependencies required to run the code
status (str) – The status of the code and validations
error (str) – If the status is failed, an error message describing what went wrong
publishingMsg (dict) – Warnings in the source code
moduleDependencies (list) – The list of internal modules dependencies required to run the code

__repr__(): Return repr(self).

to_dict()

Get a dict representation of the parameters in this class

Returns:: The dict value representation of the class parameters
Return type:: dict

import_as_cell(): Adds the source code as an unexecuted cell in the notebook.

class abacusai.pipeline_step_version.PipelineStepVersionReference(client, pipelineStepVersionReferenceId=None, pipelineStepVersion=None, objectType=None, datasetVersion=None, modelVersion=None, deploymentVersion=None, batchPredictionId=None, modelMonitorVersion=None, notebookVersion=None, featureGroupVersion=None, status=None, error=None)

Bases: abacusai.return_class.AbstractApiClass

A reference from a pipeline step version to the versions that were output from the pipeline step.

Parameters:

client (ApiClient) – An authenticated API Client instance
pipelineStepVersionReferenceId (str) – The id of the reference.
pipelineStepVersion (str) – The pipeline step version the reference is connected to.
objectType (str) – The object type of the reference.
datasetVersion (str) – The dataset version the reference is connected to.
modelVersion (str) – The model version the reference is connected to.
deploymentVersion (str) – The deployment version the reference is connected to.
batchPredictionId (str) – The batch prediction id the reference is connected to.
modelMonitorVersion (str) – The model monitor version the reference is connected to.
notebookVersion (str) – The notebook version the reference is connected to.
featureGroupVersion (str) – The feature group version the reference is connected to.
status (str) – The status of the reference
error (str) – The error message if the reference is in an error state.

__repr__(): Return repr(self).

to_dict()

Get a dict representation of the parameters in this class

Returns:: The dict value representation of the class parameters
Return type:: dict

class abacusai.pipeline_step_version.AbstractApiClass(client, id)

__eq__(other): Return self==value.

_get_attribute_as_dict(attribute)

class abacusai.pipeline_step_version.PipelineStepVersion(client, stepName=None, pipelineStepVersion=None, pipelineStepId=None, pipelineId=None, pipelineVersion=None, createdAt=None, updatedAt=None, status=None, error=None, outputErrors=None, pythonFunctionId=None, functionVariableMappings=None, stepDependencies=None, outputVariableMappings=None, cpuSize=None, memory=None, timeout=None, pipelineStepVersionReferences={}, codeSource={})

Bases: abacusai.return_class.AbstractApiClass

A version of a pipeline step.

Parameters:

client (ApiClient) – An authenticated API Client instance
stepName (str) – The name of the step.
pipelineStepVersion (str) – The reference to the pipeline step version.
pipelineStepId (str) – The reference to this step.
pipelineId (str) – The reference to the pipeline this step belongs to.
pipelineVersion (str) – The reference to the pipeline version.
createdAt (str) – The date and time which this step was created.
updatedAt (str) – The date and time when this step was last updated.
status (str) – The status of the pipeline version.
error (str) – The error message if the pipeline step failed.
outputErrors (str) – The error message of a pipeline step’s output.
pythonFunctionId (str) – The reference to the python function
functionVariableMappings (dict) – The mappings for function parameters’ names.
stepDependencies (list[str]) – List of steps this step depends on.
outputVariableMappings (dict) – The mappings for the output variables to the step.
cpuSize (str) – CPU size specified for the step function.
memory (int) – Memory in GB specified for the step function.
timeout (int) – The timeout in minutes for the pipeline step.
pipelineStepVersionReferences (PipelineStepVersionReference) – A list to the output instances of the pipeline step version.
codeSource (CodeSource) – Information about the source code of the pipeline step version.

__repr__(): Return repr(self).

to_dict()

Get a dict representation of the parameters in this class

Returns:: The dict value representation of the class parameters
Return type:: dict

refresh()

Calls describe and refreshes the current object’s fields

Returns:: The current object
Return type:: PipelineStepVersion

describe()

Describes a pipeline step version.

Parameters:: pipeline_step_version (str) – The ID of the pipeline step version.
Returns:: An object describing the pipeline step version.
Return type:: PipelineStepVersion

get_step_version_logs()

Gets the logs for a given step version.

Parameters:: pipeline_step_version (str) – The id of the pipeline step version.
Returns:: Object describing the pipeline step logs.
Return type:: PipelineStepVersionLogs