import os
import unittest

from pm4py.objects.conversion.log import converter as log_conversion
from pm4py.objects.log.util import dataframe_utils
from pm4py.objects.log.exporter.xes import exporter as xes_exporter
from pm4py.objects.log.importer.xes import importer as xes_importer
from pm4py.objects.log.util import sampling, sorting, index_attribute
from pm4py.util import constants, pandas_utils
from tests.constants import INPUT_DATA_DIR, OUTPUT_DATA_DIR


class CsvImportExportTest(unittest.TestCase):
    def test_importExportCSVtoXES(self):
        # to avoid static method warnings in tests,
        # that by construction of the unittest package have to be expressed in such way
        self.dummy_variable = "dummy_value"
        df = pandas_utils.read_csv(os.path.join(INPUT_DATA_DIR, "running-example.csv"))
        df = dataframe_utils.convert_timestamp_columns_in_df(df, timest_format=constants.DEFAULT_TIMESTAMP_PARSE_FORMAT)
        event_log = log_conversion.apply(df, variant=log_conversion.TO_EVENT_STREAM)
        event_log = sorting.sort_timestamp(event_log)
        event_log = sampling.sample(event_log)
        event_log = index_attribute.insert_event_index_as_event_attribute(event_log)
        log = log_conversion.apply(event_log, variant=log_conversion.Variants.TO_EVENT_LOG)
        log = sorting.sort_timestamp(log)
        log = sampling.sample(log)
        log = index_attribute.insert_trace_index_as_event_attribute(log)
        xes_exporter.apply(log, os.path.join(OUTPUT_DATA_DIR, "running-example-exported.xes"))
        log_imported_after_export = xes_importer.apply(
            os.path.join(OUTPUT_DATA_DIR, "running-example-exported.xes"))
        self.assertEqual(len(log), len(log_imported_after_export))
        os.remove(os.path.join(OUTPUT_DATA_DIR, "running-example-exported.xes"))

    def test_importExportCSVtoCSV(self):
        # to avoid static method warnings in tests,
        # that by construction of the unittest package have to be expressed in such way
        self.dummy_variable = "dummy_value"
        df = pandas_utils.read_csv(os.path.join(INPUT_DATA_DIR, "running-example.csv"))
        df = dataframe_utils.convert_timestamp_columns_in_df(df, timest_format=constants.DEFAULT_TIMESTAMP_PARSE_FORMAT)
        event_log = log_conversion.apply(df, variant=log_conversion.TO_EVENT_STREAM)
        event_log = sorting.sort_timestamp(event_log)
        event_log = sampling.sample(event_log)
        event_log = index_attribute.insert_event_index_as_event_attribute(event_log)
        log = log_conversion.apply(event_log, variant=log_conversion.Variants.TO_EVENT_LOG)
        log = sorting.sort_timestamp(log)
        log = sampling.sample(log)
        log = index_attribute.insert_trace_index_as_event_attribute(log)
        event_log_transformed = log_conversion.apply(log, variant=log_conversion.TO_EVENT_STREAM)
        df = log_conversion.apply(event_log_transformed, variant=log_conversion.TO_DATA_FRAME)
        df.to_csv(os.path.join(OUTPUT_DATA_DIR, "running-example-exported.csv"))
        df = pandas_utils.read_csv(os.path.join(OUTPUT_DATA_DIR, "running-example-exported.csv"))
        df = dataframe_utils.convert_timestamp_columns_in_df(df, timest_format=constants.DEFAULT_TIMESTAMP_PARSE_FORMAT)
        event_log_imported_after_export = log_conversion.apply(df, variant=log_conversion.TO_EVENT_STREAM)
        log_imported_after_export = log_conversion.apply(
            event_log_imported_after_export, variant=log_conversion.Variants.TO_EVENT_LOG)
        self.assertEqual(len(log), len(log_imported_after_export))
        os.remove(os.path.join(OUTPUT_DATA_DIR, "running-example-exported.csv"))


if __name__ == "__main__":
    unittest.main()