pm4py.streaming.importer.csv.variants package#

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

Submodules#

pm4py.streaming.importer.csv.variants.csv_event_stream module#

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

class pm4py.streaming.importer.csv.variants.csv_event_stream.Parameters(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

TRANSFORMATION_FUNCTION = 'transformation_function'#
ACCEPTANCE_CONDITION = 'acceptance_condition'#
class pm4py.streaming.importer.csv.variants.csv_event_stream.CSVEventStreamReader(path, parameters=None)[source]#

Bases: object

reset()[source]#
to_event_stream(event_stream)[source]#

Sends the content of a CSV log to an event stream

Parameters#

event_stream

Event stream

read_event()[source]#

Reads an event from the CSV file

Returns#

eve

Event

pm4py.streaming.importer.csv.variants.csv_event_stream.apply(path, parameters=None)[source]#

Creates the CSVEventStreamReaderObject

Parameters#

path

Path to the CSV file

parameters

Parameters

Returns#

stream_read_obj

Stream reader object