Join the 1-day Testing & QA Summit featuring 15+ Expert Speakers.Register for FREE! Join TestMu Conference

How to use list_activities method in localstack

Best Python code snippet using localstack_python

log_disconnected.py

Source:log_disconnected.py

1'''2    This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).3    PM4Py is free software: you can redistribute it and/or modify4    it under the terms of the GNU General Public License as published by5    the Free Software Foundation, either version 3 of the License, or6    (at your option) any later version.7    PM4Py is distributed in the hope that it will be useful,8    but WITHOUT ANY WARRANTY; without even the implied warranty of9    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the10    GNU General Public License for more details.11    You should have received a copy of the GNU General Public License12    along with PM4Py.  If not, see <https://www.gnu.org/licenses/>.13'''14from enum import Enum15from pm4py.objects.log.util import sorting16from pm4py.util import constants, exec_utils17from pm4py.util import points_subset18from pm4py.util import xes_constants as xes19from pm4py.objects.log.util import basic_filter20from typing import Optional, Dict, Any, Union, Tuple, List21from pm4py.objects.log.obj import EventLog, EventStream22class Parameters(Enum):23    ACTIVITY_KEY = constants.PARAMETER_CONSTANT_ACTIVITY_KEY24    TIMESTAMP_KEY = constants.PARAMETER_CONSTANT_TIMESTAMP_KEY25    CASE_ID_KEY = constants.PARAMETER_CONSTANT_CASEID_KEY26    ATTRIBUTE_KEY = constants.PARAMETER_CONSTANT_ATTRIBUTE_KEY27    PARAMETER_SAMPLE_SIZE = "sample_size"28    SORT_LOG_REQUIRED = "sort_log_required"29def apply(log: EventLog, list_activities: List[str], sample_size: int, parameters: Optional[Dict[Union[str, Parameters], Any]] = None) -> Dict[str, Any]:30    """31    Finds the disconnected performance spectrum provided a log32    and a list of activities33    Parameters34    -------------35    log36        Log37    list_activities38        List of activities interesting for the performance spectrum (at least two)39    sample_size40        Size of the sample41    parameters42        Parameters of the algorithm,  including:43            - Parameters.ACTIVITY_KEY44            - Parameters.TIMESTAMP_KEY45    Returns46    -------------47    points48        Points of the performance spectrum49    """50    if parameters is None:51        parameters = {}52    sort_log_required = exec_utils.get_param_value(Parameters.SORT_LOG_REQUIRED, parameters, True)53    all_acti_combs = set(tuple(list_activities[j:j + i]) for i in range(2, len(list_activities) + 1) for j in54                         range(0, len(list_activities) - i + 1))55    two_acti_combs = set((list_activities[i], list_activities[i + 1]) for i in range(len(list_activities) - 1))56    activity_key = exec_utils.get_param_value(Parameters.ACTIVITY_KEY, parameters, xes.DEFAULT_NAME_KEY)57    timestamp_key = exec_utils.get_param_value(Parameters.TIMESTAMP_KEY, parameters, xes.DEFAULT_TIMESTAMP_KEY)58    case_id_key = exec_utils.get_param_value(Parameters.CASE_ID_KEY, parameters, xes.DEFAULT_TRACEID_KEY)59    parameters[Parameters.ATTRIBUTE_KEY] = activity_key60    log = basic_filter.filter_log_events_attr(log, list_activities, parameters=parameters)61    if sort_log_required:62        log = sorting.sort_timestamp_log(log, timestamp_key=timestamp_key)63    points = []64    for trace in log:65        matches = [(i, i + 1) for i in range(len(trace) - 1) if66                   (trace[i][activity_key], trace[i + 1][activity_key]) in two_acti_combs]67        i = 068        while i < len(matches) - 1:69            matchAct = (trace[mi][activity_key] for mi in (matches[i] + matches[i + 1][1:]))70            if matches[i][-1] == matches[i + 1][0] and matchAct in all_acti_combs:71                matches[i] = matches[i] + matches[i + 1][1:]72                del matches[i + 1]73                i = 074            else:75                i += 176        if matches:77            matches = set(matches)78            timest_comb = [{'points': [(trace[i][activity_key], trace[i][timestamp_key].timestamp()) for i in match]}79                           for match in matches]80            for p in timest_comb:81                p['case_id'] = trace.attributes[case_id_key]82            points += timest_comb83    points = sorted(points, key=lambda x: min(x['points'], key=lambda x: x[1])[1])84    if len(points) > sample_size:85        points = points_subset.pick_chosen_points_list(sample_size, points)...

algorithm.py

Source:algorithm.py

1'''2    This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).3    PM4Py is free software: you can redistribute it and/or modify4    it under the terms of the GNU General Public License as published by5    the Free Software Foundation, either version 3 of the License, or6    (at your option) any later version.7    PM4Py is distributed in the hope that it will be useful,8    but WITHOUT ANY WARRANTY; without even the implied warranty of9    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the10    GNU General Public License for more details.11    You should have received a copy of the GNU General Public License12    along with PM4Py.  If not, see <https://www.gnu.org/licenses/>.13'''14from pm4py.algo.discovery.performance_spectrum.variants import dataframe, log, dataframe_disconnected, log_disconnected15from pm4py.util import exec_utils16import pkgutil17from enum import Enum18from pm4py.util import constants19from typing import Optional, Dict, Any, Union, Tuple, List20from pm4py.objects.log.obj import EventLog, EventStream21import pandas as pd22class Parameters(Enum):23    ACTIVITY_KEY = constants.PARAMETER_CONSTANT_ACTIVITY_KEY24    TIMESTAMP_KEY = constants.PARAMETER_CONSTANT_TIMESTAMP_KEY25    CASE_ID_KEY = constants.PARAMETER_CONSTANT_CASEID_KEY26    ATTRIBUTE_KEY = constants.PARAMETER_CONSTANT_ATTRIBUTE_KEY27    PARAMETER_SAMPLE_SIZE = "sample_size"28class Outputs(Enum):29    LIST_ACTIVITIES = "list_activities"30    POINTS = "points"31class Variants(Enum):32    DATAFRAME = dataframe33    LOG = log34    DATAFRAME_DISCONNECTED = dataframe_disconnected35    LOG_DISCONNECTED = log_disconnected36def apply(log: Union[EventLog, EventStream, pd.DataFrame], list_activities: List[str], variant=None, parameters: Optional[Dict[Any, Any]] = None) -> Dict[str, Any]:37    """38    Finds the performance spectrum provided a log/dataframe39    and a list of activities40    Parameters41    -------------42    log43        Event log/Dataframe44    list_activities45        List of activities interesting for the performance spectrum (at least two)46    variant47        Variant to be used (see Variants Enum)48    parameters49        Parameters of the algorithm, including:50            - Parameters.ACTIVITY_KEY51            - Parameters.TIMESTAMP_KEY52    Returns53    -------------54    ps55        Performance spectrum object (dictionary)56    """57    from pm4py.objects.conversion.log import converter as log_conversion58    if parameters is None:59        parameters = {}60    sample_size = exec_utils.get_param_value(Parameters.PARAMETER_SAMPLE_SIZE, parameters, 10000)61    if len(list_activities) < 2:62        raise Exception("performance spectrum can be applied providing at least two activities!")63    points = None64    if pkgutil.find_loader("pandas"):65        import pandas as pd66        if type(log) is pd.DataFrame:67            if variant is None:68                variant = Variants.DATAFRAME69            points = exec_utils.get_variant(variant).apply(log, list_activities, sample_size, parameters)70    if points is None:71        if variant is None:72            variant = Variants.LOG73        points = exec_utils.get_variant(variant).apply(log_conversion.apply(log), list_activities, sample_size,74                                                            parameters)75    ps = {Outputs.LIST_ACTIVITIES.value: list_activities, Outputs.POINTS.value: points}...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.