morpheus.stages.input.file_source_stage.FileSourceStage
- class FileSourceStage(c, filename, iterative=False, file_type=<FileTypes.Auto: 0>, repeat=1, filter_null=True, filter_null_columns=None, parser_kwargs=None)[source]
Bases:
morpheus.pipeline.preallocator_mixin.PreallocatorMixin
,morpheus.pipeline.single_output_source.SingleOutputSource
Load messages from a file.
Source stage is used to load messages from a file and dumping the contents into the pipeline immediately. Useful for testing performance and accuracy of a pipeline.
- Parameters
-
c :
morpheus.config.Config
- filename
- iterative
-
file_type :
morpheus.common.FileTypes
- repeat
- filter_null
- filter_null_columns
- parser_kwargs
Pipeline configuration instance.
Name of the file from which the messages will be read.
Iterative mode will emit dataframes one at a time. Otherwise a list of dataframes is emitted. Iterative mode is good for interleaving source stages.
Indicates what type of file to read. Specifying ‘auto’ will determine the file type from the extension. Supported extensions: ‘csv’, ‘json’, ‘jsonlines’ and ‘parquet’.
Repeats the input dataset multiple times. Useful to extend small datasets for debugging.
Whether to filter rows with null
filter_null_columns
columns. Null values in source data can cause issues down the line with processing. Setting this to True is recommended.Column or columns to filter null values from. Ignored when
filter_null
is False. If None, andfilter_null
isTrue
, this will default to["data"]
Extra options to pass to the file parser.
-
c :
- Attributes
has_multi_input_ports
has_multi_output_ports
input_count
input_ports
is_built
is_pre_built
name
output_ports
unique_name
Indicates if this stage has multiple input ports.
Indicates if this stage has multiple output ports.
Return None for no max intput count
Input ports to this stage.
Indicates if this stage has been built.
Indicates if this stage has been built.
Return the name of the stage
Output ports from this stage.
Unique name of stage.
Methods
build
(builder[, do_propagate])Build this stage. can_build
([check_ports])Determines if all inputs have been built allowing this node to be built. can_pre_build
([check_ports])Determines if all inputs have been built allowing this node to be built. compute_schema
(schema)Compute the schema for this stage based on the incoming schema from upstream stages. get_all_input_stages
()Get all input stages to this stage. get_all_inputs
()Get all input senders to this stage. get_all_output_stages
()Get all output stages from this stage. get_all_outputs
()Get all output receivers from this stage. get_needed_columns
()Stages which need to have columns inserted into the dataframe, should populate the self._needed_columns
dictionary with mapping of column names tomorpheus.common.TypeId
.join
()Awaitable method that stages can implement this to perform cleanup steps when pipeline is stopped. set_needed_columns
(needed_columns)Sets the columns needed to perform preallocation. start_async
()This function is called along with on_start during stage initialization. stop
()Stages can implement this to perform cleanup steps when pipeline is stopped. supports_cpp_node
()Indicates whether this stage supports a C++ node - _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
-
input_nodes :
list[mrc.SegmentObject]
mrc.Builder
object for the pipeline. This should be used to construct/attach the internalmrc.SegmentObject
.List containing the input
mrc.SegmentObject
objects.-
builder :
- Returns
list[mrc.SegmentObject]
List of tuples containing the output
mrc.SegmentObject
object from this stage.
- _build_source(builder)[source]
Abstract method all derived Source classes should implement. Returns the same value as
build
.- Returns
mrc.SegmentObject
:
The MRC node for this stage.
- _build_sources(builder)[source]
Abstract method all derived Source classes should implement. Returns the same value as
build
.- Returns
mrc.SegmentObject
:
The MRC nodes for this stage.
- build(builder, do_propagate=True)[source]
Build this stage.
- Parameters
-
builder :
mrc.Builder
- do_propagate
MRC segment for this stage.
Whether to propagate to build output stages, by default True.
-
builder :
- 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.
- 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
andschema.input_types
properties.Derived classes need to override this method, can set the output type(s) on
schema
by callingset_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 aRuntimeError
.- get_all_input_stages()[source]
Get all input stages to this stage.
- Returns
- list[
morpheus.pipeline.pipeline.StageBase
]
All input stages.
- list[
- get_all_inputs()[source]
Get all input senders to this stage.
- Returns
- list[
morpheus.pipeline.pipeline.Sender
]
All input senders.
- list[
- get_all_output_stages()[source]
Get all output stages from this stage.
- Returns
- list[
morpheus.pipeline.pipeline.StageBase
]
All output stages.
- list[
- get_all_outputs()[source]
Get all output receivers from this stage.
- Returns
- list[
morpheus.pipeline.pipeline.Receiver
]
All output receivers.
- list[
- 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 tomorpheus.common.TypeId
. This will ensure that the columns are allocated and populated with null values.- 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_count: int
Return None for no max intput count
- property input_ports: list[morpheus.pipeline.receiver.Receiver]
Input ports to this stage.
- Returns
- list[
morpheus.pipeline.pipeline.Receiver
]
Input ports to this stage.
- list[
- 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 on its own.- property name: str
Return the name of the 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.
- list[
- set_needed_columns(needed_columns)[source]
Sets the columns needed to perform preallocation. This should only be called by the Pipeline at build time. The needed_columns shoudl contain the entire set of columns needed by any other stage in this segment.
- 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.