adding RegionCountsByBatchcodeTablesMergerTest

src/GoogleAnalytics/FilesProviderTest.py

@@ -13,7 +13,12 @@ class FilesProviderTest(unittest.TestCase):
         files = filesProvider.getFilesHavingResolution(Resolution.CITY)
         
         # Then
-        self.assertEqual(files, [dataDir + '/CountryByBatchcode 20230730-20230929.csv'])
+        self.assertEqual(
+            files,
+            [
+                dataDir + '/CountryByBatchcode 20230730-20230929.csv',
+                dataDir + '/CountryByBatchcode 20230929-20230930.csv'
+            ])
 
     def test_getFilesHavingCountryResolution(self):
         # Given

src/GoogleAnalytics/RegionCountsByBatchcodeTablesMerger.py

@@ -0,0 +1,13 @@
+from GoogleAnalytics.RegionCountsByClickedBatchcodeProvider import RegionCountsByClickedBatchcodeProvider
+from GoogleAnalytics.FilesProvider import FilesProvider
+from GoogleAnalytics.Resolution import Resolution
+from TablesHelper import TablesHelper
+
+class RegionCountsByBatchcodeTablesMerger:
+
+    @staticmethod
+    def getRegionCountsByClickedBatchcode(dataDir):
+        files = FilesProvider(dataDir).getFilesHavingResolution(Resolution.CITY)
+        tables = [RegionCountsByClickedBatchcodeProvider.getRegionCountsByClickedBatchcode(file) for file in files]
+        table = TablesHelper.concatTables_groupByIndex_sum(tables)
+        return table

src/GoogleAnalytics/RegionCountsByBatchcodeTablesMergerTest.py

@@ -0,0 +1,25 @@
+import unittest
+from pandas.testing import assert_frame_equal
+from TestHelper import TestHelper
+import pandas as pd
+from src.GoogleAnalytics.RegionCountsByBatchcodeTablesMerger import RegionCountsByBatchcodeTablesMerger
+
+class RegionCountsByBatchcodeTablesMergerTest(unittest.TestCase):
+
+    def test_getRegionCountsByClickedBatchcode(self):
+        # Given
+
+        # When
+        regionCountsByClickedBatchcodeTable = RegionCountsByBatchcodeTablesMerger.getRegionCountsByClickedBatchcode('src/testdata/GoogleAnalytics')
+        
+        # Then
+        assert_frame_equal(
+            regionCountsByClickedBatchcodeTable,
+            TestHelper.createDataFrame(
+                columns = ['REGION_COUNT_BY_VAX_LOT'],
+                data = [  [100       + 200],
+                          [(10 + 20) + (20 + 40)]],
+                index = pd.MultiIndex.from_tuples(
+                            names =   ['VAX_LOT',  'COUNTRY',       'REGION'],
+                            tuples = [['#003B21A', 'United States', 'California'],
+                                      ['000086A',  'Germany',       'Bavaria']])))

src/GoogleAnalytics/Resolution.py

@@ -0,0 +1,6 @@
+from enum import Enum
+
+
+class Resolution(Enum):
+    CITY = 1
+    COUNTRY = 2

src/GoogleAnalytics/ResolutionProvider.py

@@ -1,11 +1,5 @@
-from enum import Enum
 import linecache
-
+from GoogleAnalytics.Resolution import Resolution
-
-class Resolution(Enum):
-    CITY = 1
-    COUNTRY = 2
-
 
 class ResolutionProvider:
 

src/testdata/GoogleAnalytics/CountryByBatchcode 20230929-20230930.csv

@@ -0,0 +1,11 @@
+# ----------------------------------------
+# HowBadIsMyBatch
+# Batchcode By Country-Country By Clicked Batchcode
+# 20230730-20230929
+# ----------------------------------------
+
+Clicked Batchcode,Country,Region,City,Event count
+,,,,441337,Grand total
+#003B21A,United States,California,Roseville,200
+000086A,Germany,Bavaria,Nordlingen,20
+000086A,Germany,Bavaria,Nuremberg,40