starting CountryCountsByBatchcodeTable2JsonConverterTest

src/CountryCountsByBatchcodeTable2JsonConverter.py

@@ -0,0 +1,19 @@
+import pandas as pd
+
+class CountryCountsByBatchcodeTable2JsonConverter:
+
+    @staticmethod
+    def convert2Json(countryCountsByBatchcodeTable):
+        return (countryCountsByBatchcodeTable
+                .reset_index(level = 'COUNTRY')
+                .rename(
+                    columns =
+                        {
+                            'COUNTRY': 'countries',
+                            'COUNTRY_COUNT_BY_VAX_LOT Clicked': 'frequencies guessed',
+                            'COUNTRY_COUNT_BY_VAX_LOT Before Deletion': 'frequencies before deletion'
+                        })
+                .groupby('VAX_LOT')
+                .apply(lambda countryCountsTable: countryCountsTable.to_dict('list'))
+                .rename('HISTOGRAM_DESCRIPTION')
+                .to_frame())

src/CountryCountsByBatchcodeTable2JsonConverterTest.py

@@ -0,0 +1,52 @@
+import unittest
+import pandas as pd
+from pandas.testing import assert_frame_equal
+from TestHelper import TestHelper
+from CountryCountsByBatchcodeTable2JsonConverter import CountryCountsByBatchcodeTable2JsonConverter
+
+class CountryCountsByBatchcodeTable2JsonConverterTest(unittest.TestCase):
+
+    def test_convertCountryCountsByBatchcodeTable2Json(self):
+        # Given
+        countryCountsByBatchcodeTable = TestHelper.createDataFrame(
+                columns = ['COUNTRY_COUNT_BY_VAX_LOT Clicked', 'COUNTRY_COUNT_BY_VAX_LOT Before Deletion'],
+                data = [  [10,                                 20],
+                          [15,                                 30],
+                          [70,                                 80]],
+                index = pd.MultiIndex.from_tuples(
+                            names =   ['VAX_LOT',   'COUNTRY'],
+                            tuples = [('!D0181',    'Germany'),
+                                      ('!D0181',    'Hungary'),
+                                      ('# 009C01A', 'Germany')]))
+        
+        # When
+        jsonTable = CountryCountsByBatchcodeTable2JsonConverter.convert2Json(countryCountsByBatchcodeTable)
+
+        # Then
+        assert_frame_equal(
+            jsonTable,
+            TestHelper.createDataFrame(
+                columns = ['HISTOGRAM_DESCRIPTION'],
+                data = [
+                        [
+                            {
+                                "countries":                   ["Germany", "Hungary"],
+                                "frequencies guessed":         [10,        15],
+                                "frequencies before deletion": [20,        30]
+                            }
+                        ],
+                        [
+                            {
+                                "countries":                   ["Germany"],
+                                "frequencies guessed":         [70],
+                                "frequencies before deletion": [80]
+                            }
+                        ]
+                       ],
+                index = pd.Index(
+                    [
+                        '!D0181',
+                        '# 009C01A'
+                    ],
+                    name = 'VAX_LOT')),
+            check_dtype = True)