morpheus.stages.postprocess.validation_stage.ValidationStage

Bases: morpheus.stages.output.compare_dataframe_stage.CompareDataFrameStage

Validate pipeline output for testing.

The validation stage can be used to combine all output data into a single dataframe and compare against a known good file.

If a column name is matched by both include and exclude, it will be excluded.

Parameters

c : morpheus.config.Config

The global configuration.

val_file_name

The comparison file, or an instance of a DataFrame.

results_file_name

If not None specifies an output file path to write a JSON file containing the validation results.

overwrite

Whether to overwrite the validation results if they exist, by default False.

include

Any columns to include. By default all columns are included.

exclude

Any columns to exclude. Takes a regex, by default [r’^ID$’, r’^_ts_’].

index_col

Whether to convert any column in the dataset to the index. Useful when the pipeline will change the index, by default None.

abs_tol

Absolute tolerance to use when comparing float columns.

rel_tol

Relative tolerance to use when comparing float columns.

Raises

FileExistsError

When overwrite is False and the results file exists.

Attributes

has_multi_input_ports

Indicates if this stage has multiple input ports.

has_multi_output_ports

Indicates if this stage has multiple output ports.

input_ports

Input ports to this stage.

is_built

Indicates if this stage has been built.

is_pre_built

Indicates if this stage has been built.

name

Unique name for this stage.

output_ports

Output ports from this stage.

unique_name

Unique name of stage.

Methods

_build(builder, input_nodes)[source]

This function is responsible for constructing this stage’s internal mrc.SegmentObject object. The input of this function contains the returned value from the upstream stage.

The input values are the mrc.Builder for this stage and a list of parent nodes.

Parameters

builder : mrc.Builder

mrc.Builder object for the pipeline. This should be used to construct/attach the internal mrc.SegmentObject.

input_nodes : list[mrc.SegmentObject]

List containing the input mrc.SegmentObject objects.

Returns

list[mrc.SegmentObject]

List of tuples containing the output mrc.SegmentObject object from this stage.

accepted_types()[source]

Accepted input types for this stage are returned.

Returns

typing.Tuple(morpheus.pipeline.messages.MultiMessage, )

Accepted input types.

build(builder, do_propagate=True)[source]

Build this stage.

Parameters

builder : mrc.Builder

MRC segment for this stage.

do_propagate

Whether to propagate to build output stages, by default True.

can_build(check_ports=False)[source]

Determines if all inputs have been built allowing this node to be built.

Parameters

check_ports

Check if we can build based on the input ports, by default False.

Returns

bool

True if we can build, False otherwise.

can_pre_build(check_ports=False)[source]

Determines if all inputs have been built allowing this node to be built.

Parameters

check_ports

Check if we can build based on the input ports, by default False.

Returns

bool

True if we can build, False otherwise.

clear()[source]

Clear the messages that have been collected so far

compute_schema(schema)[source]

Compute the schema for this stage based on the incoming schema from upstream stages.

Incoming schema and type information from upstream stages is available via the schema.input_schemas and schema.input_types properties.

Derived classes need to override this method, can set the output type(s) on schema by calling set_type for all output ports. For example a simple pass-thru stage might perform the following:

If the port types in upstream_schema are incompatible the stage should raise a RuntimeError.

get_all_input_stages()[source]

Get all input stages to this stage.

Returns

list[morpheus.pipeline.pipeline.StageBase]

All input stages.

get_all_inputs()[source]

Get all input senders to this stage.

Returns

list[morpheus.pipeline.pipeline.Sender]

All input senders.

get_all_output_stages()[source]

Get all output stages from this stage.

Returns

list[morpheus.pipeline.pipeline.StageBase]

All output stages.

get_all_outputs()[source]

Get all output receivers from this stage.

Returns

list[morpheus.pipeline.pipeline.Receiver]

All output receivers.

get_messages()[source]

Returns

list

Results collected messages

get_needed_columns()[source]

Stages which need to have columns inserted into the dataframe, should populate the self._needed_columns dictionary with mapping of column names to morpheus.common.TypeId. This will ensure that the columns are allocated and populated with null values.

get_results(clear=True)[source]

Returns the results dictionary. This is the same dictionary that is written to results_file_name

Returns

dict

Results dictionary

property has_multi_input_ports: bool

Indicates if this stage has multiple input ports.

Returns

bool

True if stage has multiple input ports, False otherwise.

property has_multi_output_ports: bool

Indicates if this stage has multiple output ports.

Returns

bool

True if stage has multiple output ports, False otherwise.

property input_ports: list[morpheus.pipeline.receiver.Receiver]

Input ports to this stage.

Returns

list[morpheus.pipeline.pipeline.Receiver]

Input ports to this stage.

property is_built: bool

Indicates if this stage has been built.

Returns

bool

True if stage is built, False otherwise.

property is_pre_built: bool

Indicates if this stage has been built.

Returns

bool

True if stage is built, False otherwise.

async join()[source]

Awaitable method that stages can implement this to perform cleanup steps when pipeline is stopped. Typically this is called after stop during a graceful shutdown, but may not be called if the pipeline is terminated.

property name: str

Unique name for this stage.

property output_ports: list[morpheus.pipeline.sender.Sender]

Output ports from this stage.

Returns

list[morpheus.pipeline.pipeline.Sender]

Output ports from this stage.

async start_async()[source]

This function is called along with on_start during stage initialization. Allows stages to utilize the asyncio loop if needed.

stop()[source]

Stages can implement this to perform cleanup steps when pipeline is stopped.

supports_cpp_node()[source]

Indicates whether this stage supports a C++ node.

property unique_name: str

Unique name of stage. Generated by appending stage id to stage name.

Returns

str

Unique name of stage.