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pm.py
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import json
import os
import datetime
import tempfile
from pm4py.objects.log.importer.xes import factory as xes_importer
from pm4py.objects.log.exporter.xes import factory as xes_exporter
from pm4py.algo.discovery.alpha import factory as alpha_miner
from pm4py.visualization.petrinet import factory as vis_factory
from pm4py.visualization.graphs import factory as graphs_vis_factory
from pm4py.statistics.traces.log import case_statistics
import pm4py.objects.log.util
from pm4py.algo.discovery.dfg import factory as dfg_factory
from pm4py.visualization.dfg import factory as dfg_vis_factory
from pm4py.util import constants
from pm4py.algo.filtering.log.attributes import attributes_filter
from pm4py.visualization.heuristics_net import factory as hn_vis_factory
from pm4py.algo.discovery.heuristics import factory as heuristics_miner
from pm4py.visualization.petrinet import factory as pn_vis_factory
def get_properties(chat_id):
if os.path.isfile("configs/" + str(chat_id) + ".json"):
return json.load(open("configs/" + str(chat_id) + ".json", "r"))
return {"registered": False}
def get_property(chat_id, prop):
return get_properties(chat_id)[prop]
def set_property(chat_id, prop, value):
p = get_properties(chat_id)
p[prop] = value
p["last_update"] = str(datetime.datetime.now())
json.dump(p, open("configs/" + str(chat_id) + ".json", "w"))
def get_log_filename(chat_id, filtered=False):
if filtered:
return "logs/" + str(chat_id) + "_filtered.xes"
else:
return "logs/" + str(chat_id) + ".xes"
def set_log(chat_id, log, original_name):
filename = get_log_filename(chat_id)
open(filename, 'wb').write(log)
set_property(chat_id, "current_log", filename)
set_property(chat_id, "log_original_name", original_name)
def get_current_log(chat_id):
return xes_importer.import_log(get_property(chat_id, "current_log"))
def describe_log(chat_id):
log = get_current_log(chat_id)
filename = None
filename2 = None
# case duration
try:
x, y = case_statistics.get_kde_caseduration(log, parameters={
constants.PARAMETER_CONSTANT_TIMESTAMP_KEY: "time:timestamp"})
gviz = graphs_vis_factory.apply_plot(x, y, variant="cases")
new_file, filename = tempfile.mkstemp(suffix="png")
graphs_vis_factory.save(gviz, filename)
except OSError:
pass
# events over time
try:
x, y = attributes_filter.get_kde_date_attribute(log, attribute="time:timestamp")
gviz2 = graphs_vis_factory.apply_plot(x, y, variant="dates")
new_file2, filename2 = tempfile.mkstemp(suffix="png")
graphs_vis_factory.save(gviz2, filename2)
except OSError:
pass
return {"traces": len(log),
"acts_freq": pm4py.objects.log.util.log.get_event_labels_counted(log, "concept:name"),
"case_duration": filename,
"events_over_time": filename2}
def get_all_activities(chat_id):
log = get_current_log(chat_id)
return pm4py.objects.log.util.log.get_event_labels(log, "concept:name")
def bot_alpha_miner(chat_id):
log = get_current_log(chat_id)
net, initial_marking, final_marking = alpha_miner.apply(log)
gviz = vis_factory.apply(net, initial_marking, final_marking)
new_file, filename = tempfile.mkstemp(suffix="png")
vis_factory.save(gviz, filename)
return filename
def bot_dfg(chat_id):
log = get_current_log(chat_id)
dfg = dfg_factory.apply(log)
gviz = dfg_vis_factory.apply(dfg, log=log, variant="frequency")
new_file, filename = tempfile.mkstemp(suffix="png")
dfg_vis_factory.save(gviz, filename)
return filename
def bot_hm(chat_id, dependency_threshold=0.99):
log = get_current_log(chat_id)
heu_net = heuristics_miner.apply_heu(log, parameters={"dependency_thresh": dependency_threshold})
gviz = hn_vis_factory.apply(heu_net)
new_file, filename = tempfile.mkstemp(suffix="png")
hn_vis_factory.save(gviz, filename)
net, im, fm = heuristics_miner.apply(log, parameters={"dependency_thresh": dependency_threshold})
gviz = pn_vis_factory.apply(net, im, fm)
new_file2, filename2 = tempfile.mkstemp(suffix="png")
pn_vis_factory.save(gviz, filename2)
return [filename, filename2]
def filter_per_activities_to_keep(chat_id, activities):
log = get_current_log(chat_id)
tracefilter_log_pos = attributes_filter.apply_events(log, activities, parameters={constants.PARAMETER_CONSTANT_ATTRIBUTE_KEY: "concept:name", "positive": True})
xes_exporter.export_log(tracefilter_log_pos, get_log_filename(chat_id, True), parameters={"compress": False})
set_property(chat_id, "current_log", get_log_filename(chat_id, True))
def reset_filter(chat_id):
set_property(chat_id, "current_log", get_log_filename(chat_id, False))
os.remove(get_log_filename(chat_id, True))