swh.graph.libs.luigi.topology module#

swh.graph.libs.luigi.topology.inverse_direction(direction: str) str[source]#
class swh.graph.libs.luigi.topology.TopoSort(*args, **kwargs)[source]#

Bases: Task

Creates a file that contains all SWHIDs in topological order from a compressed graph.

local_graph_path#

Parameter whose value is a path.

In the task definition, use

class MyTask(luigi.Task):
    existing_file_path = luigi.PathParameter(exists=True)
    new_file_path = luigi.PathParameter()

    def run(self):
        # Get data from existing file
        with self.existing_file_path.open("r", encoding="utf-8") as f:
            data = f.read()

        # Output message in new file
        self.new_file_path.parent.mkdir(parents=True, exist_ok=True)
        with self.new_file_path.open("w", encoding="utf-8") as f:
            f.write("hello from a PathParameter => ")
            f.write(data)

At the command line, use

$ luigi --module my_tasks MyTask --existing-file-path <path> --new-file-path <path>
topology_dir#

Parameter whose value is a path.

In the task definition, use

class MyTask(luigi.Task):
    existing_file_path = luigi.PathParameter(exists=True)
    new_file_path = luigi.PathParameter()

    def run(self):
        # Get data from existing file
        with self.existing_file_path.open("r", encoding="utf-8") as f:
            data = f.read()

        # Output message in new file
        self.new_file_path.parent.mkdir(parents=True, exist_ok=True)
        with self.new_file_path.open("w", encoding="utf-8") as f:
            f.write("hello from a PathParameter => ")
            f.write(data)

At the command line, use

$ luigi --module my_tasks MyTask --existing-file-path <path> --new-file-path <path>
graph_name#

Parameter whose value is a str, and a base class for other parameter types.

Parameters are objects set on the Task class level to make it possible to parameterize tasks. For instance:

class MyTask(luigi.Task):
    foo = luigi.Parameter()

class RequiringTask(luigi.Task):
    def requires(self):
        return MyTask(foo="hello")

    def run(self):
        print(self.requires().foo)  # prints "hello"

This makes it possible to instantiate multiple tasks, eg MyTask(foo='bar') and MyTask(foo='baz'). The task will then have the foo attribute set appropriately.

When a task is instantiated, it will first use any argument as the value of the parameter, eg. if you instantiate a = TaskA(x=44) then a.x == 44. When the value is not provided, the value will be resolved in this order of falling priority:

  • Any value provided on the command line:

    • To the root task (eg. --param xyz)

    • Then to the class, using the qualified task name syntax (eg. --TaskA-param xyz).

  • With [TASK_NAME]>PARAM_NAME: <serialized value> syntax. See ParamConfigIngestion

  • Any default value set using the default flag.

Parameter objects may be reused, but you must then set the positional=False flag.

object_types#

Parameter whose value is a str, and a base class for other parameter types.

Parameters are objects set on the Task class level to make it possible to parameterize tasks. For instance:

class MyTask(luigi.Task):
    foo = luigi.Parameter()

class RequiringTask(luigi.Task):
    def requires(self):
        return MyTask(foo="hello")

    def run(self):
        print(self.requires().foo)  # prints "hello"

This makes it possible to instantiate multiple tasks, eg MyTask(foo='bar') and MyTask(foo='baz'). The task will then have the foo attribute set appropriately.

When a task is instantiated, it will first use any argument as the value of the parameter, eg. if you instantiate a = TaskA(x=44) then a.x == 44. When the value is not provided, the value will be resolved in this order of falling priority:

  • Any value provided on the command line:

    • To the root task (eg. --param xyz)

    • Then to the class, using the qualified task name syntax (eg. --TaskA-param xyz).

  • With [TASK_NAME]>PARAM_NAME: <serialized value> syntax. See ParamConfigIngestion

  • Any default value set using the default flag.

Parameter objects may be reused, but you must then set the positional=False flag.

direction#
A parameter which takes two values:
  1. an instance of Iterable and

  2. the class of the variables to convert to.

In the task definition, use

class MyTask(luigi.Task):
    my_param = luigi.ChoiceParameter(choices=[0.1, 0.2, 0.3], var_type=float)

At the command line, use

$ luigi --module my_tasks MyTask --my-param 0.1

Consider using EnumParameter for a typed, structured alternative. This class can perform the same role when all choices are the same type and transparency of parameter value on the command line is desired.

algorithm#
A parameter which takes two values:
  1. an instance of Iterable and

  2. the class of the variables to convert to.

In the task definition, use

class MyTask(luigi.Task):
    my_param = luigi.ChoiceParameter(choices=[0.1, 0.2, 0.3], var_type=float)

At the command line, use

$ luigi --module my_tasks MyTask --my-param 0.1

Consider using EnumParameter for a typed, structured alternative. This class can perform the same role when all choices are the same type and transparency of parameter value on the command line is desired.

requires() List[Task][source]#

Returns an instance of LocalGraph.

output() LocalTarget[source]#

.csv.zst file that contains the topological order.

run() None[source]#

Runs ‘toposort’ command from tools/topology and compresses

class swh.graph.libs.luigi.topology.ComputeGenerations(*args, **kwargs)[source]#

Bases: Task

Creates a file that contains all SWHIDs in topological order from a compressed graph.

local_graph_path#

Parameter whose value is a path.

In the task definition, use

class MyTask(luigi.Task):
    existing_file_path = luigi.PathParameter(exists=True)
    new_file_path = luigi.PathParameter()

    def run(self):
        # Get data from existing file
        with self.existing_file_path.open("r", encoding="utf-8") as f:
            data = f.read()

        # Output message in new file
        self.new_file_path.parent.mkdir(parents=True, exist_ok=True)
        with self.new_file_path.open("w", encoding="utf-8") as f:
            f.write("hello from a PathParameter => ")
            f.write(data)

At the command line, use

$ luigi --module my_tasks MyTask --existing-file-path <path> --new-file-path <path>
topology_dir#

Parameter whose value is a path.

In the task definition, use

class MyTask(luigi.Task):
    existing_file_path = luigi.PathParameter(exists=True)
    new_file_path = luigi.PathParameter()

    def run(self):
        # Get data from existing file
        with self.existing_file_path.open("r", encoding="utf-8") as f:
            data = f.read()

        # Output message in new file
        self.new_file_path.parent.mkdir(parents=True, exist_ok=True)
        with self.new_file_path.open("w", encoding="utf-8") as f:
            f.write("hello from a PathParameter => ")
            f.write(data)

At the command line, use

$ luigi --module my_tasks MyTask --existing-file-path <path> --new-file-path <path>
graph_name#

Parameter whose value is a str, and a base class for other parameter types.

Parameters are objects set on the Task class level to make it possible to parameterize tasks. For instance:

class MyTask(luigi.Task):
    foo = luigi.Parameter()

class RequiringTask(luigi.Task):
    def requires(self):
        return MyTask(foo="hello")

    def run(self):
        print(self.requires().foo)  # prints "hello"

This makes it possible to instantiate multiple tasks, eg MyTask(foo='bar') and MyTask(foo='baz'). The task will then have the foo attribute set appropriately.

When a task is instantiated, it will first use any argument as the value of the parameter, eg. if you instantiate a = TaskA(x=44) then a.x == 44. When the value is not provided, the value will be resolved in this order of falling priority:

  • Any value provided on the command line:

    • To the root task (eg. --param xyz)

    • Then to the class, using the qualified task name syntax (eg. --TaskA-param xyz).

  • With [TASK_NAME]>PARAM_NAME: <serialized value> syntax. See ParamConfigIngestion

  • Any default value set using the default flag.

Parameter objects may be reused, but you must then set the positional=False flag.

object_types#

Parameter whose value is a str, and a base class for other parameter types.

Parameters are objects set on the Task class level to make it possible to parameterize tasks. For instance:

class MyTask(luigi.Task):
    foo = luigi.Parameter()

class RequiringTask(luigi.Task):
    def requires(self):
        return MyTask(foo="hello")

    def run(self):
        print(self.requires().foo)  # prints "hello"

This makes it possible to instantiate multiple tasks, eg MyTask(foo='bar') and MyTask(foo='baz'). The task will then have the foo attribute set appropriately.

When a task is instantiated, it will first use any argument as the value of the parameter, eg. if you instantiate a = TaskA(x=44) then a.x == 44. When the value is not provided, the value will be resolved in this order of falling priority:

  • Any value provided on the command line:

    • To the root task (eg. --param xyz)

    • Then to the class, using the qualified task name syntax (eg. --TaskA-param xyz).

  • With [TASK_NAME]>PARAM_NAME: <serialized value> syntax. See ParamConfigIngestion

  • Any default value set using the default flag.

Parameter objects may be reused, but you must then set the positional=False flag.

direction#
A parameter which takes two values:
  1. an instance of Iterable and

  2. the class of the variables to convert to.

In the task definition, use

class MyTask(luigi.Task):
    my_param = luigi.ChoiceParameter(choices=[0.1, 0.2, 0.3], var_type=float)

At the command line, use

$ luigi --module my_tasks MyTask --my-param 0.1

Consider using EnumParameter for a typed, structured alternative. This class can perform the same role when all choices are the same type and transparency of parameter value on the command line is desired.

requires() List[Task][source]#

Returns an instance of LocalGraph.

output() dict[str, Target][source]#

.csv.zst file that contains the topological order.

run() None[source]#

Runs ‘toposort’ command from tools/topology and compresses

class swh.graph.libs.luigi.topology.UploadGenerationsToS3(*args, **kwargs)[source]#

Bases: Task

Uploads the output of ComputeGenerations to S3

local_graph_path#

Parameter whose value is a path.

In the task definition, use

class MyTask(luigi.Task):
    existing_file_path = luigi.PathParameter(exists=True)
    new_file_path = luigi.PathParameter()

    def run(self):
        # Get data from existing file
        with self.existing_file_path.open("r", encoding="utf-8") as f:
            data = f.read()

        # Output message in new file
        self.new_file_path.parent.mkdir(parents=True, exist_ok=True)
        with self.new_file_path.open("w", encoding="utf-8") as f:
            f.write("hello from a PathParameter => ")
            f.write(data)

At the command line, use

$ luigi --module my_tasks MyTask --existing-file-path <path> --new-file-path <path>
topology_dir#

Parameter whose value is a path.

In the task definition, use

class MyTask(luigi.Task):
    existing_file_path = luigi.PathParameter(exists=True)
    new_file_path = luigi.PathParameter()

    def run(self):
        # Get data from existing file
        with self.existing_file_path.open("r", encoding="utf-8") as f:
            data = f.read()

        # Output message in new file
        self.new_file_path.parent.mkdir(parents=True, exist_ok=True)
        with self.new_file_path.open("w", encoding="utf-8") as f:
            f.write("hello from a PathParameter => ")
            f.write(data)

At the command line, use

$ luigi --module my_tasks MyTask --existing-file-path <path> --new-file-path <path>
dataset_name#

Parameter whose value is a str, and a base class for other parameter types.

Parameters are objects set on the Task class level to make it possible to parameterize tasks. For instance:

class MyTask(luigi.Task):
    foo = luigi.Parameter()

class RequiringTask(luigi.Task):
    def requires(self):
        return MyTask(foo="hello")

    def run(self):
        print(self.requires().foo)  # prints "hello"

This makes it possible to instantiate multiple tasks, eg MyTask(foo='bar') and MyTask(foo='baz'). The task will then have the foo attribute set appropriately.

When a task is instantiated, it will first use any argument as the value of the parameter, eg. if you instantiate a = TaskA(x=44) then a.x == 44. When the value is not provided, the value will be resolved in this order of falling priority:

  • Any value provided on the command line:

    • To the root task (eg. --param xyz)

    • Then to the class, using the qualified task name syntax (eg. --TaskA-param xyz).

  • With [TASK_NAME]>PARAM_NAME: <serialized value> syntax. See ParamConfigIngestion

  • Any default value set using the default flag.

Parameter objects may be reused, but you must then set the positional=False flag.

graph_name#

Parameter whose value is a str, and a base class for other parameter types.

Parameters are objects set on the Task class level to make it possible to parameterize tasks. For instance:

class MyTask(luigi.Task):
    foo = luigi.Parameter()

class RequiringTask(luigi.Task):
    def requires(self):
        return MyTask(foo="hello")

    def run(self):
        print(self.requires().foo)  # prints "hello"

This makes it possible to instantiate multiple tasks, eg MyTask(foo='bar') and MyTask(foo='baz'). The task will then have the foo attribute set appropriately.

When a task is instantiated, it will first use any argument as the value of the parameter, eg. if you instantiate a = TaskA(x=44) then a.x == 44. When the value is not provided, the value will be resolved in this order of falling priority:

  • Any value provided on the command line:

    • To the root task (eg. --param xyz)

    • Then to the class, using the qualified task name syntax (eg. --TaskA-param xyz).

  • With [TASK_NAME]>PARAM_NAME: <serialized value> syntax. See ParamConfigIngestion

  • Any default value set using the default flag.

Parameter objects may be reused, but you must then set the positional=False flag.

object_types#

Parameter whose value is a str, and a base class for other parameter types.

Parameters are objects set on the Task class level to make it possible to parameterize tasks. For instance:

class MyTask(luigi.Task):
    foo = luigi.Parameter()

class RequiringTask(luigi.Task):
    def requires(self):
        return MyTask(foo="hello")

    def run(self):
        print(self.requires().foo)  # prints "hello"

This makes it possible to instantiate multiple tasks, eg MyTask(foo='bar') and MyTask(foo='baz'). The task will then have the foo attribute set appropriately.

When a task is instantiated, it will first use any argument as the value of the parameter, eg. if you instantiate a = TaskA(x=44) then a.x == 44. When the value is not provided, the value will be resolved in this order of falling priority:

  • Any value provided on the command line:

    • To the root task (eg. --param xyz)

    • Then to the class, using the qualified task name syntax (eg. --TaskA-param xyz).

  • With [TASK_NAME]>PARAM_NAME: <serialized value> syntax. See ParamConfigIngestion

  • Any default value set using the default flag.

Parameter objects may be reused, but you must then set the positional=False flag.

direction#
A parameter which takes two values:
  1. an instance of Iterable and

  2. the class of the variables to convert to.

In the task definition, use

class MyTask(luigi.Task):
    my_param = luigi.ChoiceParameter(choices=[0.1, 0.2, 0.3], var_type=float)

At the command line, use

$ luigi --module my_tasks MyTask --my-param 0.1

Consider using EnumParameter for a typed, structured alternative. This class can perform the same role when all choices are the same type and transparency of parameter value on the command line is desired.

requires() Task[source]#

Returns an instance of ComputeGenerations.

output() List[Target][source]#

Returns .bitstream and .bin paths on S3.

run() None[source]#

Copies the files

class swh.graph.libs.luigi.topology.CountPaths(*args, **kwargs)[source]#

Bases: Task

Creates a file that lists:

  • the number of paths leading to each node, and starting from all leaves, and

  • the number of paths leading to each node, and starting from all other nodes

Counts include the trivial self-path (zero-length path from a node to itself).

local_graph_path#

Parameter whose value is a path.

In the task definition, use

class MyTask(luigi.Task):
    existing_file_path = luigi.PathParameter(exists=True)
    new_file_path = luigi.PathParameter()

    def run(self):
        # Get data from existing file
        with self.existing_file_path.open("r", encoding="utf-8") as f:
            data = f.read()

        # Output message in new file
        self.new_file_path.parent.mkdir(parents=True, exist_ok=True)
        with self.new_file_path.open("w", encoding="utf-8") as f:
            f.write("hello from a PathParameter => ")
            f.write(data)

At the command line, use

$ luigi --module my_tasks MyTask --existing-file-path <path> --new-file-path <path>
topology_dir#

Parameter whose value is a path.

In the task definition, use

class MyTask(luigi.Task):
    existing_file_path = luigi.PathParameter(exists=True)
    new_file_path = luigi.PathParameter()

    def run(self):
        # Get data from existing file
        with self.existing_file_path.open("r", encoding="utf-8") as f:
            data = f.read()

        # Output message in new file
        self.new_file_path.parent.mkdir(parents=True, exist_ok=True)
        with self.new_file_path.open("w", encoding="utf-8") as f:
            f.write("hello from a PathParameter => ")
            f.write(data)

At the command line, use

$ luigi --module my_tasks MyTask --existing-file-path <path> --new-file-path <path>
graph_name#

Parameter whose value is a str, and a base class for other parameter types.

Parameters are objects set on the Task class level to make it possible to parameterize tasks. For instance:

class MyTask(luigi.Task):
    foo = luigi.Parameter()

class RequiringTask(luigi.Task):
    def requires(self):
        return MyTask(foo="hello")

    def run(self):
        print(self.requires().foo)  # prints "hello"

This makes it possible to instantiate multiple tasks, eg MyTask(foo='bar') and MyTask(foo='baz'). The task will then have the foo attribute set appropriately.

When a task is instantiated, it will first use any argument as the value of the parameter, eg. if you instantiate a = TaskA(x=44) then a.x == 44. When the value is not provided, the value will be resolved in this order of falling priority:

  • Any value provided on the command line:

    • To the root task (eg. --param xyz)

    • Then to the class, using the qualified task name syntax (eg. --TaskA-param xyz).

  • With [TASK_NAME]>PARAM_NAME: <serialized value> syntax. See ParamConfigIngestion

  • Any default value set using the default flag.

Parameter objects may be reused, but you must then set the positional=False flag.

write_parquet#

A Parameter whose value is a bool. This parameter has an implicit default value of False. For the command line interface this means that the value is False unless you add "--the-bool-parameter" to your command without giving a parameter value. This is considered implicit parsing (the default). However, in some situations one might want to give the explicit bool value ("--the-bool-parameter true|false"), e.g. when you configure the default value to be True. This is called explicit parsing. When omitting the parameter value, it is still considered True but to avoid ambiguities during argument parsing, make sure to always place bool parameters behind the task family on the command line when using explicit parsing.

You can toggle between the two parsing modes on a per-parameter base via

class MyTask(luigi.Task):
    implicit_bool = luigi.BoolParameter(parsing=luigi.BoolParameter.IMPLICIT_PARSING)
    explicit_bool = luigi.BoolParameter(parsing=luigi.BoolParameter.EXPLICIT_PARSING)

or globally by

luigi.BoolParameter.parsing = luigi.BoolParameter.EXPLICIT_PARSING

for all bool parameters instantiated after this line.

object_types#

Parameter whose value is a str, and a base class for other parameter types.

Parameters are objects set on the Task class level to make it possible to parameterize tasks. For instance:

class MyTask(luigi.Task):
    foo = luigi.Parameter()

class RequiringTask(luigi.Task):
    def requires(self):
        return MyTask(foo="hello")

    def run(self):
        print(self.requires().foo)  # prints "hello"

This makes it possible to instantiate multiple tasks, eg MyTask(foo='bar') and MyTask(foo='baz'). The task will then have the foo attribute set appropriately.

When a task is instantiated, it will first use any argument as the value of the parameter, eg. if you instantiate a = TaskA(x=44) then a.x == 44. When the value is not provided, the value will be resolved in this order of falling priority:

  • Any value provided on the command line:

    • To the root task (eg. --param xyz)

    • Then to the class, using the qualified task name syntax (eg. --TaskA-param xyz).

  • With [TASK_NAME]>PARAM_NAME: <serialized value> syntax. See ParamConfigIngestion

  • Any default value set using the default flag.

Parameter objects may be reused, but you must then set the positional=False flag.

direction#
A parameter which takes two values:
  1. an instance of Iterable and

  2. the class of the variables to convert to.

In the task definition, use

class MyTask(luigi.Task):
    my_param = luigi.ChoiceParameter(choices=[0.1, 0.2, 0.3], var_type=float)

At the command line, use

$ luigi --module my_tasks MyTask --my-param 0.1

Consider using EnumParameter for a typed, structured alternative. This class can perform the same role when all choices are the same type and transparency of parameter value on the command line is desired.

property resources#

Return the estimated RAM use of this task.

requires() Dict[str, Task][source]#

Returns an instance of LocalGraph and one of ComputeGenerations.

output() dict[str, LocalTarget][source]#

Parquet directory (if enabled) and binary arrays with path counts.

run() None[source]#

Runs ‘count_paths’ command from tools/topology

class swh.graph.libs.luigi.topology.CountDescendants(*args, **kwargs)[source]#

Bases: Task

Counts the number of unique descendants (or ancestors) of each node using a probabilistic HyperLogLog counter.

With --direction forward, for each node counts unique nodes reachable from it. With --direction backward, counts unique nodes that can reach it.

local_graph_path#

Parameter whose value is a path.

In the task definition, use

class MyTask(luigi.Task):
    existing_file_path = luigi.PathParameter(exists=True)
    new_file_path = luigi.PathParameter()

    def run(self):
        # Get data from existing file
        with self.existing_file_path.open("r", encoding="utf-8") as f:
            data = f.read()

        # Output message in new file
        self.new_file_path.parent.mkdir(parents=True, exist_ok=True)
        with self.new_file_path.open("w", encoding="utf-8") as f:
            f.write("hello from a PathParameter => ")
            f.write(data)

At the command line, use

$ luigi --module my_tasks MyTask --existing-file-path <path> --new-file-path <path>
topology_dir#

Parameter whose value is a path.

In the task definition, use

class MyTask(luigi.Task):
    existing_file_path = luigi.PathParameter(exists=True)
    new_file_path = luigi.PathParameter()

    def run(self):
        # Get data from existing file
        with self.existing_file_path.open("r", encoding="utf-8") as f:
            data = f.read()

        # Output message in new file
        self.new_file_path.parent.mkdir(parents=True, exist_ok=True)
        with self.new_file_path.open("w", encoding="utf-8") as f:
            f.write("hello from a PathParameter => ")
            f.write(data)

At the command line, use

$ luigi --module my_tasks MyTask --existing-file-path <path> --new-file-path <path>
graph_name#

Parameter whose value is a str, and a base class for other parameter types.

Parameters are objects set on the Task class level to make it possible to parameterize tasks. For instance:

class MyTask(luigi.Task):
    foo = luigi.Parameter()

class RequiringTask(luigi.Task):
    def requires(self):
        return MyTask(foo="hello")

    def run(self):
        print(self.requires().foo)  # prints "hello"

This makes it possible to instantiate multiple tasks, eg MyTask(foo='bar') and MyTask(foo='baz'). The task will then have the foo attribute set appropriately.

When a task is instantiated, it will first use any argument as the value of the parameter, eg. if you instantiate a = TaskA(x=44) then a.x == 44. When the value is not provided, the value will be resolved in this order of falling priority:

  • Any value provided on the command line:

    • To the root task (eg. --param xyz)

    • Then to the class, using the qualified task name syntax (eg. --TaskA-param xyz).

  • With [TASK_NAME]>PARAM_NAME: <serialized value> syntax. See ParamConfigIngestion

  • Any default value set using the default flag.

Parameter objects may be reused, but you must then set the positional=False flag.

object_types#

Parameter whose value is a str, and a base class for other parameter types.

Parameters are objects set on the Task class level to make it possible to parameterize tasks. For instance:

class MyTask(luigi.Task):
    foo = luigi.Parameter()

class RequiringTask(luigi.Task):
    def requires(self):
        return MyTask(foo="hello")

    def run(self):
        print(self.requires().foo)  # prints "hello"

This makes it possible to instantiate multiple tasks, eg MyTask(foo='bar') and MyTask(foo='baz'). The task will then have the foo attribute set appropriately.

When a task is instantiated, it will first use any argument as the value of the parameter, eg. if you instantiate a = TaskA(x=44) then a.x == 44. When the value is not provided, the value will be resolved in this order of falling priority:

  • Any value provided on the command line:

    • To the root task (eg. --param xyz)

    • Then to the class, using the qualified task name syntax (eg. --TaskA-param xyz).

  • With [TASK_NAME]>PARAM_NAME: <serialized value> syntax. See ParamConfigIngestion

  • Any default value set using the default flag.

Parameter objects may be reused, but you must then set the positional=False flag.

write_parquet#

A Parameter whose value is a bool. This parameter has an implicit default value of False. For the command line interface this means that the value is False unless you add "--the-bool-parameter" to your command without giving a parameter value. This is considered implicit parsing (the default). However, in some situations one might want to give the explicit bool value ("--the-bool-parameter true|false"), e.g. when you configure the default value to be True. This is called explicit parsing. When omitting the parameter value, it is still considered True but to avoid ambiguities during argument parsing, make sure to always place bool parameters behind the task family on the command line when using explicit parsing.

You can toggle between the two parsing modes on a per-parameter base via

class MyTask(luigi.Task):
    implicit_bool = luigi.BoolParameter(parsing=luigi.BoolParameter.IMPLICIT_PARSING)
    explicit_bool = luigi.BoolParameter(parsing=luigi.BoolParameter.EXPLICIT_PARSING)

or globally by

luigi.BoolParameter.parsing = luigi.BoolParameter.EXPLICIT_PARSING

for all bool parameters instantiated after this line.

direction#
A parameter which takes two values:
  1. an instance of Iterable and

  2. the class of the variables to convert to.

In the task definition, use

class MyTask(luigi.Task):
    my_param = luigi.ChoiceParameter(choices=[0.1, 0.2, 0.3], var_type=float)

At the command line, use

$ luigi --module my_tasks MyTask --my-param 0.1

Consider using EnumParameter for a typed, structured alternative. This class can perform the same role when all choices are the same type and transparency of parameter value on the command line is desired.

rsd#

Parameter whose value is a float.

seed#

Class to parse optional int parameters.

property resources#

Return the estimated RAM use of this task.

requires() Dict[str, Task][source]#

Returns an instance of LocalGraph and one of ComputeGenerations.

output() dict[str, LocalTarget][source]#

Parquet directory (if enabled) and binary array with descendant counts.

run() None[source]#

Runs ‘count_descendants’ command from tools/topology

class swh.graph.libs.luigi.topology.PathCountsParquetToS3(*args, **kwargs)[source]#

Bases: _ParquetToS3ToAthenaTask

Reads the CSV from CountPaths, converts it to ORC, upload the ORC to S3, and create an Athena table for it.

topology_dir#

Parameter whose value is a path.

In the task definition, use

class MyTask(luigi.Task):
    existing_file_path = luigi.PathParameter(exists=True)
    new_file_path = luigi.PathParameter()

    def run(self):
        # Get data from existing file
        with self.existing_file_path.open("r", encoding="utf-8") as f:
            data = f.read()

        # Output message in new file
        self.new_file_path.parent.mkdir(parents=True, exist_ok=True)
        with self.new_file_path.open("w", encoding="utf-8") as f:
            f.write("hello from a PathParameter => ")
            f.write(data)

At the command line, use

$ luigi --module my_tasks MyTask --existing-file-path <path> --new-file-path <path>
object_types#

Parameter whose value is a str, and a base class for other parameter types.

Parameters are objects set on the Task class level to make it possible to parameterize tasks. For instance:

class MyTask(luigi.Task):
    foo = luigi.Parameter()

class RequiringTask(luigi.Task):
    def requires(self):
        return MyTask(foo="hello")

    def run(self):
        print(self.requires().foo)  # prints "hello"

This makes it possible to instantiate multiple tasks, eg MyTask(foo='bar') and MyTask(foo='baz'). The task will then have the foo attribute set appropriately.

When a task is instantiated, it will first use any argument as the value of the parameter, eg. if you instantiate a = TaskA(x=44) then a.x == 44. When the value is not provided, the value will be resolved in this order of falling priority:

  • Any value provided on the command line:

    • To the root task (eg. --param xyz)

    • Then to the class, using the qualified task name syntax (eg. --TaskA-param xyz).

  • With [TASK_NAME]>PARAM_NAME: <serialized value> syntax. See ParamConfigIngestion

  • Any default value set using the default flag.

Parameter objects may be reused, but you must then set the positional=False flag.

direction#
A parameter which takes two values:
  1. an instance of Iterable and

  2. the class of the variables to convert to.

In the task definition, use

class MyTask(luigi.Task):
    my_param = luigi.ChoiceParameter(choices=[0.1, 0.2, 0.3], var_type=float)

At the command line, use

$ luigi --module my_tasks MyTask --my-param 0.1

Consider using EnumParameter for a typed, structured alternative. This class can perform the same role when all choices are the same type and transparency of parameter value on the command line is desired.

dataset_name#

Parameter whose value is a str, and a base class for other parameter types.

Parameters are objects set on the Task class level to make it possible to parameterize tasks. For instance:

class MyTask(luigi.Task):
    foo = luigi.Parameter()

class RequiringTask(luigi.Task):
    def requires(self):
        return MyTask(foo="hello")

    def run(self):
        print(self.requires().foo)  # prints "hello"

This makes it possible to instantiate multiple tasks, eg MyTask(foo='bar') and MyTask(foo='baz'). The task will then have the foo attribute set appropriately.

When a task is instantiated, it will first use any argument as the value of the parameter, eg. if you instantiate a = TaskA(x=44) then a.x == 44. When the value is not provided, the value will be resolved in this order of falling priority:

  • Any value provided on the command line:

    • To the root task (eg. --param xyz)

    • Then to the class, using the qualified task name syntax (eg. --TaskA-param xyz).

  • With [TASK_NAME]>PARAM_NAME: <serialized value> syntax. See ParamConfigIngestion

  • Any default value set using the default flag.

Parameter objects may be reused, but you must then set the positional=False flag.

s3_athena_output_location#

A parameter that strip trailing slashes

requires() CountPaths[source]#

Returns corresponding CountPaths instance