Contents of a valid Python source code file. The source code should contain the transform feature group functions. A list of allowed imports and system libraries for each language is specified in the user functions documentation section.
No
stepInputMappings
List[PythonFunctionArgument]
List of Python function arguments.
No
outputVariableMappings
List[OutputVariableMapping]
List of Python function outputs.
No
stepDependencies
List[str]
List of step names this step depends on.
No
packageRequirements
list
List of package requirement strings. For example: ['numpy==1.2.3', 'pandas>=1.4.0'].
No
cpuSize
str
Size of the CPU for the step function.
No
memory
int
Memory (in GB) for the step function.
No
timeout
int
Timeout for the step in minutes, default is 300 minutes.
Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.
Response:
KEY
TYPE
DESCRIPTION
success
Boolean
true if the call succeeded, false if there was an error
result
Pipeline
KEY
TYPE
Description
pipelineName
str
The name of the pipeline this step is a part of.
pipelineId
str
The reference to the pipeline this step belongs to.
createdAt
str
The date and time which the pipeline was created.
notebookId
str
The reference to the notebook this pipeline belongs to.
cron
str
A cron-style string that describes when this refresh policy is to be executed in UTC
nextRunTime
str
The next time this pipeline will be run.
isProd
bool
Whether this pipeline is a production pipeline.
warning
str
Warning message for possible errors that might occur if the pipeline is run.
createdBy
str
The email of the user who created the pipeline
steps
PipelineStep
A list of the pipeline steps attached to the pipeline.
KEY
TYPE
Description
pipelineStepId
str
The reference to this step.
pipelineId
str
The reference to the pipeline this step belongs to.
stepName
str
The name of the step.
pipelineName
str
The name of the pipeline this step is a part of.
createdAt
str
The date and time which this step was created.
updatedAt
str
The date and time when this step was last updated.
pythonFunctionId
str
The python function_id.
stepDependencies
List[str]
List of steps this step depends on.
cpuSize
str
CPU size specified for the step function.
memory
int
Memory in GB specified for the step function.
timeout
int
Timeout for the step in minutes, default is 300 minutes.
pythonFunction
PythonFunction
Information about the python function for the step.
KEY
TYPE
Description
notebookId
str
The unique identifier of the notebook used to spin up the notebook upon creation.
name
str
The name to identify the algorithm, only uppercase letters, numbers, and underscores allowed (i.e. it must be a valid Python identifier)
createdAt
str
The ISO-8601 string representing when the Python function was created.
functionVariableMappings
dict
A description of the function variables.
outputVariableMappings
dict
A description of the variables returned by the function
functionName
str
The name of the Python function to be used.
pythonFunctionId
str
The unique identifier of the Python function.
functionType
str
The type of the Python function.
packageRequirements
list
The pip package dependencies required to run the code
codeSource
CodeSource
Information about the source code of the Python function.
KEY
TYPE
Description
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
codeSource
CodeSource
Information about the source code of the step function.
KEY
TYPE
Description
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
pipelineReferences
PipelineReference
A list of references from the pipeline to other objects
KEY
TYPE
Description
pipelineReferenceId
str
The id of the reference.
pipelineId
str
The id of the pipeline for the reference.
objectType
str
The object type of the reference.
datasetId
str
The dataset id of the reference.
modelId
str
The model id of the reference.
deploymentId
str
The deployment id of the reference.
batchPredictionDescriptionId
str
The batch prediction description id of the reference.
modelMonitorId
str
The model monitor id of the reference.
notebookId
str
The notebook id of the reference.
featureGroupId
str
The feature group id of the reference.
latestPipelineVersion
PipelineVersion
The latest version of the pipeline.
KEY
TYPE
Description
pipelineName
str
The name of the pipeline this step is a part of.
pipelineId
str
The reference to the pipeline this step belongs to.
pipelineVersion
str
The reference to this pipeline version.
createdAt
str
The date and time which this pipeline version was created.
updatedAt
str
The date and time which this pipeline version was updated.
completedAt
str
The date and time which this pipeline version was updated.
status
str
The status of the pipeline version.
error
str
The relevant error, if the status is FAILED.
stepVersions
PipelineStepVersion
A list of the pipeline step versions.
KEY
TYPE
Description
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.
KEY
TYPE
Description
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.
codeSource
CodeSource
Information about the source code of the pipeline step version.
KEY
TYPE
Description
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
codeSource
CodeSource
information on the source code
KEY
TYPE
Description
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
pipelineVariableMappings
PythonFunctionArgument
A description of the function variables into the pipeline.
KEY
TYPE
Description
variableType
PythonFunctionArgumentType
The type of the python function argument
name
str
The name of the python function variable
pipelineVariable
str
The name of the pipeline variable to use as the value
isRequired
bool
Whether the argument is required
value
Any
The value of the argument
codeSource
CodeSource
information on the source code
KEY
TYPE
Description
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
pipelineVariableMappings
PythonFunctionArgument
A description of the function variables into the pipeline.
KEY
TYPE
Description
variableType
PythonFunctionArgumentType
The type of the python function argument
name
str
The name of the python function variable
pipelineVariable
str
The name of the pipeline variable to use as the value