Source code for pm4py.visualization.align_table.visualizer

'''
    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
'''
from pm4py.visualization.align_table.variants import classic
from pm4py.visualization.common import gview
from pm4py.visualization.common import save as gsave
from pm4py.visualization.common.gview import serialize, serialize_dot
from enum import Enum
from pm4py.util import exec_utils
from typing import Optional, Dict, Any, Union
from pm4py.objects.log.obj import EventLog
from pm4py.util import typing
import graphviz
from pm4py.objects.conversion.log import converter as log_converter
import pandas as pd




class Variants(Enum):
    CLASSIC = classic



DEFAULT_VARIANT = Variants.CLASSIC




def apply(
    log: Union[EventLog, pd.DataFrame],
    aligned_traces: typing.ListAlignments,
    variant=DEFAULT_VARIANT,
    parameters: Optional[Dict[Any, Any]] = None,
) -> graphviz.Source:
    """
    Gets the alignment table visualization from the alignments output

    Parameters
    -------------
    log
        Event log
    aligned_traces
        Aligned traces
    variant
        Variant of the algorithm to apply, possible values:
            - Variants.CLASSIC
    parameters
        Parameters of the algorithm

    Returns
    -------------
    gviz
        Graphviz object
    """
    log = log_converter.apply(
        log, variant=log_converter.Variants.TO_EVENT_LOG, parameters=parameters
    )
    return exec_utils.get_variant(variant).apply(
        log, aligned_traces, parameters=parameters
    )





def save(gviz: graphviz.Digraph, output_file_path: str, parameters=None):
    """
    Save the diagram

    Parameters
    -----------
    gviz
        GraphViz diagram
    output_file_path
        Path where the GraphViz output should be saved
    """
    gsave.save(gviz, output_file_path, parameters=parameters)
    return ""





def view(gviz: graphviz.Digraph, parameters=None):
    """
    View the diagram

    Parameters
    -----------
    gviz
        GraphViz diagram
    """
    return gview.view(gviz, parameters=parameters)





def matplotlib_view(gviz: graphviz.Digraph, parameters=None):
    """
    Views the diagram using Matplotlib

    Parameters
    ---------------
    gviz
        Graphviz
    """

    return gview.matplotlib_view(gviz, parameters=parameters)