def import_xes_data(filename):
if not os.path.abspath(filename):
# modify the path of file
file_path = global_util.get_full_path_input_file(filename)
else:
file_path = filename
filename = os.path.basename(filename)
# import the name of log
parameters = {"timestamp_sort": True}
log = importer.apply(file_path,
variant="nonstandard",
parameters=parameters)
# apply miner
net, initial_marking, final_marking = alpha_miner.apply(log)
# apply visualizer
gviz = visualizer.apply(net, initial_marking, final_marking)
# generate the name of the file
file, _ = os.path.splitext(filename)
output_full_name = "output_" + file + ".png"
# generate the path of all generated files
output_file = global_util.get_full_path_output_file(output_full_name)
# save file
visualizer.save(gviz, output_file)
# return the name of the file
return output_full_name
def import_xes_data(filename):
if not os.path.abspath(filename):
file_path = global_util.get_full_path_input_file(filename)
else:
file_path = filename
filename = os.path.basename(filename)
parameters = {"timestamp_sort": True}
log = importer.apply(file_path,
variant="nonstandard",
parameters=parameters)
print(log)
net, initial_marking, final_marking = alpha_miner.apply(log)
gviz = visualizer.apply(net, initial_marking, final_marking)
file, _ = os.path.splitext(filename)
output_full_name = "output_" + file + ".png"
output_file = global_util.get_full_path_output_file(output_full_name)
visualizer.save(gviz, output_file)
return output_full_name
def import_xes_data(filename):
if not os.path.abspath(filename):
file_path = global_util.get_full_path_input_file(filename)
else:
file_path = filename
filename = os.path.basename(filename)
# import the name of log
parameters = {"timestamp_sort": True}
log = importer.apply(file_path,
variant="nonstandard",
parameters=parameters)
print(log)
# file of miner application log
net, initial_marking, final_marking = alpha_miner.apply(log)
# Visual interface application analysis results
gviz = visualizer.apply(net, initial_marking, final_marking)
# Generate output file name
file, _ = os.path.splitext(filename)
output_full_name = "output_" + file + ".png"
# Generate the full path of the output file
output_file = global_util.get_full_path_output_file(output_full_name)
# save document
visualizer.save(gviz, output_file)
# Returns the output file name
return output_full_name
def import_xes_data(filename):
if not os.path.abspath(filename):
# 修改日志文件路径
file_path = global_util.get_full_path_input_file(filename)
else:
file_path = filename
filename = os.path.basename(filename)
# 导入日志文件名
parameters = {"timestamp_sort": True}
log = importer.apply(file_path, variant="nonstandard", parameters=parameters)
# 矿工应用日志文件
net, initial_marking, final_marking = alpha_miner.apply(log)
# 可视化界面应用分析结果
gviz = visualizer.apply(net, initial_marking, final_marking)
# 生成输出文件名
file, _ = os.path.splitext(filename)
output_full_name = "output_" + file + ".png"
# 生成输出文件全路径
output_file = global_util.get_full_path_output_file(output_full_name)
# 保存文件
visualizer.save(gviz, output_file)
# 返回输出文件名
return output_full_name
def __init__(self, file):
file_path = None
if not os.path.abspath(file):
file_path = global_util.get_full_path_input_file(file)
else:
file_path = file
self.fileName = os.path.basename(file_path)
def __init__(self, file):
file_path = None
if not os.path.abspath(file):
# If it's not absolute path, get path
self.fileName = global_util.get_full_path_input_file(file)
else:
# otherwise set file_path as file
self.fileName = file
self.log = None
def import_csv_file(filename):
filename = os.path.basename(filename)
file_path = global_util.get_full_path_input_file(filename)
event_stream = csv_importer.import_event_stream(file_path)
# dataframe = csv_import_adapter.import_dataframe_from_path(file_path, sep=",")
log = conversion_factory.apply(
event_stream,
parameters={constants.PARAMETER_CONSTANT_TIMESTAMP_KEY: "日期和时间"})
net, initial_marking, final_marking = alpha_miner.apply(log)
gviz = visualizer.apply(net, initial_marking, final_marking)
visualizer.view(gviz)
def import_csv_file(filename):
filename = os.path.basename(filename)
# 修改日志文件路径
file_path = global_util.get_full_path_input_file(filename)
# 将文件按 csv 文件格式导入，得到事件流结构
event_stream = csv_importer.import_event_stream(file_path)
# dataframe = csv_import_adapter.import_dataframe_from_path(file_path, sep=",")
# 将事件流转换成 xes 结构
log = conversion_factory.apply(event_stream, parameters={constants.PARAMETER_CONSTANT_TIMESTAMP_KEY: "日期和时间"})
# 矿工应用日志文件，这里简单的应用阿尔法矿工
net, initial_marking, final_marking = alpha_miner.apply(log)
# 可视化界面应用分析结果
gviz = visualizer.apply(net, initial_marking, final_marking)
# 显示结果
visualizer.view(gviz)
