NVIDIA Morpheus (24.10.01)
(Latest Version)

morpheus.stages.input.arxiv_source.ArxivSource

class ArxivSource(c, query, cache_dir='./.cache/arvix_source_cache', chunk_size=1000, chunk_overlap=100, max_pages=10000)[source]

Bases: <a href="morpheus.pipeline.execution_mode_mixins.GpuAndCpuMixin.html#morpheus.pipeline.execution_mode_mixins.GpuAndCpuMixin">morpheus.pipeline.execution_mode_mixins.GpuAndCpuMixin</a>, <a href="morpheus.pipeline.preallocator_mixin.PreallocatorMixin.html#morpheus.pipeline.preallocator_mixin.PreallocatorMixin">morpheus.pipeline.preallocator_mixin.PreallocatorMixin</a>, <a href="morpheus.pipeline.single_output_source.SingleOutputSource.html#morpheus.pipeline.single_output_source.SingleOutputSource">morpheus.pipeline.single_output_source.SingleOutputSource</a>

Source stage that downloads PDFs from arxiv and converts them to dataframes.

This stage requires several additional dependencies to be installed. Install them by running the following command: conda env update --solver=libmamba -n morpheus " "--file conda/environments/all_cuda-125_arch-x86_64.yaml --prune

Parameters
c<a href="morpheus.config.Config.html#morpheus.config.Config">morpheus.config.Config</a>

Pipeline configuration instance.

query<a href="https://docs.python.org/3/library/stdtypes.html#str">str</a>

Query to use for arxiv search.

cache_dir<a href="https://docs.python.org/3/library/stdtypes.html#str">str</a>, optional

Directory to store downloaded PDFs in, any PDFs already in the directory will be skipped. This directory, will be created if it does not already exist.

chunk_size<a href="https://docs.python.org/3/library/functions.html#int">int</a>, optional

The number of characters to split each PDF into. This is used to split the PDF into multiple chunks each chunk will be converted into a row in the resulting dataframe. This value must be larger than chunk_overlap.

chunk_overlap: `int`, optional

When splitting documents into chunks, this is the number of characters that will overlap from the previus chunk.

max_pages: `int`, optional

Maximum number of PDF pages to parse.

Attributes
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.df_type_str">df_type_str</a>

Returns the DataFrame module that should be used for the given execution mode.

<a href="#morpheus.stages.input.arxiv_source.ArxivSource.has_multi_input_ports">has_multi_input_ports</a>

Indicates if this stage has multiple input ports.

<a href="#morpheus.stages.input.arxiv_source.ArxivSource.has_multi_output_ports">has_multi_output_ports</a>

Indicates if this stage has multiple output ports.

<a href="#morpheus.stages.input.arxiv_source.ArxivSource.input_count">input_count</a>

Return None for no max intput count.

<a href="#morpheus.stages.input.arxiv_source.ArxivSource.input_ports">input_ports</a>

Input ports to this stage.

<a href="#morpheus.stages.input.arxiv_source.ArxivSource.is_built">is_built</a>

Indicates if this stage has been built.

<a href="#morpheus.stages.input.arxiv_source.ArxivSource.is_pre_built">is_pre_built</a>

Indicates if this stage has been built.

<a href="#morpheus.stages.input.arxiv_source.ArxivSource.name">name</a>

Return the name of the stage

<a href="#morpheus.stages.input.arxiv_source.ArxivSource.output_ports">output_ports</a>

Output ports from this stage.

<a href="#morpheus.stages.input.arxiv_source.ArxivSource.unique_name">unique_name</a>

Unique name of stage.

Methods

<a href="#morpheus.stages.input.arxiv_source.ArxivSource.build">build</a>(builder[, do_propagate]) Build this stage.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.can_build">can_build</a>([check_ports]) Determines if all inputs have been built allowing this node to be built.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.can_pre_build">can_pre_build</a>([check_ports]) Determines if all inputs have been built allowing this node to be built.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.compute_schema">compute_schema</a>(schema) Compute the schema for this stage based on the incoming schema from upstream stages.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.get_all_input_stages">get_all_input_stages</a>() Get all input stages to this stage.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.get_all_inputs">get_all_inputs</a>() Get all input senders to this stage.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.get_all_output_stages">get_all_output_stages</a>() Get all output stages from this stage.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.get_all_outputs">get_all_outputs</a>() Get all output receivers from this stage.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.get_df_class">get_df_class</a>() Returns the DataFrame class that should be used for the given execution mode.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.get_df_pkg">get_df_pkg</a>() Returns the DataFrame package that should be used for the given execution mode.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.get_needed_columns">get_needed_columns</a>() Stages which need to have columns inserted into the dataframe, should populate the self._needed_columns dictionary with mapping of column names to <a href="morpheus.common.html#morpheus.common.TypeId">morpheus.common.TypeId</a>.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.is_stop_requested">is_stop_requested</a>() Returns <a href="https://docs.python.org/3/library/constants.html#True">True</a> if a stop has been requested.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.join">join</a>() Awaitable method that stages can implement this to perform cleanup steps when pipeline is stopped.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.request_stop">request_stop</a>() Request the source to stop processing data.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.set_needed_columns">set_needed_columns</a>(needed_columns) Sets the columns needed to perform preallocation.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.start_async">start_async</a>() This function is called along with on_start during stage initialization.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.stop">stop</a>() This method is invoked by the pipeline whenever there is an unexpected shutdown.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.supported_execution_modes">supported_execution_modes</a>() Returns a tuple of supported execution modes of this stage.
<a href="#morpheus.stages.input.arxiv_source.ArxivSource.supports_cpp_node">supports_cpp_node</a>() Indicates whether or not 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
buildermrc.Builder

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

input_nodeslist[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.

_build_source(builder)[source]

Abstract method all derived Source classes should implement. Returns the same value as <a href="#morpheus.stages.input.arxiv_source.ArxivSource.build">build</a>.

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 <a href="#morpheus.stages.input.arxiv_source.ArxivSource.build">build</a>.

Returns
mrc.SegmentObject:

The MRC nodes for this stage.

build(builder, do_propagate=True)[source]

Build this stage.

Parameters
buildermrc.Builder

MRC segment for this stage.

do_propagatebool, optional

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_portsbool, optional

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_portsbool, optional

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 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:

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>>> for (port_idx, port_schema) in enumerate(schema.input_schemas): ... schema.output_schemas[port_idx].set_type(port_schema.get_type()) >>>

If the port types in upstream_schema are incompatible the stage should raise a <a href="https://docs.python.org/3/library/exceptions.html#RuntimeError">RuntimeError</a>.

property df_type_str: Literal['cudf', 'pandas']

Returns the DataFrame module that should be used for the given execution mode.

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_df_class()[source]

Returns the DataFrame class that should be used for the given execution mode.

get_df_pkg()[source]

Returns the DataFrame package that should be used for the given execution mode.

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 <a href="morpheus.common.html#morpheus.common.TypeId">morpheus.common.TypeId</a>. 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.

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.

is_stop_requested()[source]

Returns <a href="https://docs.python.org/3/library/constants.html#True">True</a> if a stop has been requested.

Returns
bool:

True if a stop has been requested, 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 <a href="#morpheus.stages.input.arxiv_source.ArxivSource.stop">stop</a> 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.

request_stop()[source]

Request the source to stop processing data.

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]

This method is invoked by the pipeline whenever there is an unexpected shutdown. Subclasses should override this method to perform any necessary cleanup operations.

supported_execution_modes()[source]

Returns a tuple of supported execution modes of this stage.

supports_cpp_node()[source]

Indicates whether or not 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.

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