Update test_eventlog_handler.py

tests/test_eventlog_handler.py

 import unittest
+from eventlog_handler import Event_handler
+import pandas as pd
+
+class Test_EventHandler(unittest.TestCase):
+    def setUp(self) -> None:
+        self.csv_file_path="test_data.csv"
+        self.xls_file_path="test_data.xlsx"
+        self.xes_file_path="test_data.xes"
+        self.parquet_file_path="test_data.parquet"
+        self.xlsx_file_path="test_data.xlsx"
+        self.doc_file_path="test_data.doc"
+        #all type file
+
+
+    #test all type file
+    def test_check_file_type(self):
+        handler1=Event_handler(self.csv_file_path)
+        result1=handler1.check_file_type()
+        handler2=Event_handler(self.xls_file_path)
+        result2=handler2.check_file_type()
+        handler3=Event_handler(self.xes_file_path)
+        result3=handler3.check_file_type()
+        handler4=Event_handler(self.parquet_file_path)
+        result4=handler4.check_file_type()
+        handler5=Event_handler(self.xlsx_file_path)
+        result5=handler5.check_file_type()
+        handler6=Event_handler(self.doc_file_path)
+        result6=handler6.check_file_type()
+        self.assertTrue(result1 and result2 and result3 and result4 and result5)
+        self.assertFalse(result6)
+
+    def test_read_file(self)->None:
+        handler1=Event_handler(self.csv_file_path)
+        handler1.read_file()
+        self.assertIsInstance(handler1.df, pd.DataFrame)
+        handler2=Event_handler(self.xls_file_path)
+        handler2.read_file()
+        self.assertIsInstance(handler2.df, pd.DataFrame)
+        handler3=Event_handler(self.xes_file_path)
+        handler3.read_file()
+        self.assertIsInstance(handler3.df, pd.DataFrame)
+        handler4=Event_handler(self.parquet_file_path)
+        handler4.read_file()
+        self.assertIsInstance(handler4.df, pd.DataFrame)
+        handler5=Event_handler(self.xlsx_file_path)
+        handler5.read_file()
+        self.assertIsInstance(handler5.df, pd.DataFrame)
+
+    def test_list_of_columns(self)->None:
+        handler=Event_handler(self.csv_file_path)
+        handler.check_file_type()
+        handler.read_file()
+        columns=handler.list_of_columns()
+        self.assertIsInstance(columns,list)
+
+    def test_select_columns(self)->None:
+        handler = Event_handler(self.csv_file_path)
+        handler.check_file_type()
+        handler.read_file()
+        selected_columns = handler.select_columns("caseid", "timestamp", "activity", "resource")
+        self.assertIsInstance(selected_columns,dict)
+
+    def test_timestamp_handler(self)->None:
+       handler = Event_handler(self.csv_file_path)
+       handler.check_file_type()
+       handler.read_file()
+       selected_columns = handler.select_columns("caseid", "timestamp", "activity", "resource")
+       handler.timestamp_handler()
+       expected_format=handler.df["timestamp"].dt.strftime('%Y-%m-%dT%H:%M:%S')
+       actual_format = pd.to_datetime(handler.df['timestamp'], format='%Y-%m-%dT%H:%M:%S')
+       self.assertTrue(all(expected_format == actual_format), "Date time format is not as expected.\
+                        Expected: {} Actual: {}".format(expected_format, actual_format))
+
+    def test_clean_data(self)->None:
+        handler = Event_handler(self.csv_file_path)
+        handler.check_file_type()
+        handler.read_file()
+        handler.clean_data()
+        self.assertFalse(handler.df.isnull().any().any())
+
+    def test_return_dataframe(self)->None:
+        handler = Event_handler(self.csv_file_path)
+        handler.check_file_type()
+        handler.read_file()
+        df = handler.return_dataframe()
+        self.assertIsNotNone(df)
+        self.assertTrue(df.equals(handler.df))
+
+   
+    def tearDown(self)->None:
+        pass
+
+if __name__=="__main__":
+    unittest.main()
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