continuing

src/BarChartDescriptionTablePersister.py

@@ -0,0 +1,10 @@
+import shutil
+from IOUtils import IOUtils
+
+def saveBarChartDescriptionTable(barChartDescriptionTable):
+    directory = '../docs/data/barChartDescriptionTables'
+    shutil.rmtree(directory, ignore_errors = True)
+    for row in barChartDescriptionTable.itertuples():
+        batchcode = row.BAR_CHART_DESCRIPTION['batchcode']
+        barChartDescription = row.BAR_CHART_DESCRIPTION
+        IOUtils.saveDictAsJson(barChartDescription, f'{directory}/{batchcode}.json')

src/CountryCountsByBatchcodeTable2BarChartDescriptionTableConverter.py

@@ -0,0 +1,25 @@
+import pandas as pd
+
+class CountryCountsByBatchcodeTable2BarChartDescriptionTableConverter:
+
+    @staticmethod
+    def convert2BarChartDescriptionTable(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(CountryCountsByBatchcodeTable2BarChartDescriptionTableConverter._convert2BarChartDescription)
+                .rename('BAR_CHART_DESCRIPTION')
+                .to_frame())
+
+    @staticmethod
+    def _convert2BarChartDescription(countryCountsTable):
+        barChartDescription = countryCountsTable.to_dict('list')
+        barChartDescription['batchcode'] = countryCountsTable.index.values[0]
+        return barChartDescription

src/CountryCountsByBatchcodeTable2BarChartDescriptionTableConverterTest.py

@@ -0,0 +1,54 @@
+import unittest
+import pandas as pd
+from pandas.testing import assert_frame_equal
+from TestHelper import TestHelper
+from CountryCountsByBatchcodeTable2BarChartDescriptionTableConverter import CountryCountsByBatchcodeTable2BarChartDescriptionTableConverter
+
+class CountryCountsByBatchcodeTable2BarChartDescriptionTableConverterTest(unittest.TestCase):
+
+    def test_convert2BarChartDescriptionTable(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
+        barChartDescriptionTable = CountryCountsByBatchcodeTable2BarChartDescriptionTableConverter.convert2BarChartDescriptionTable(countryCountsByBatchcodeTable)
+
+        # Then
+        assert_frame_equal(
+            barChartDescriptionTable,
+            TestHelper.createDataFrame(
+                columns = ['BAR_CHART_DESCRIPTION'],
+                data = [
+                        [
+                            {
+                                'batchcode':                   '!D0181',
+                                'countries':                   ['Germany', 'Hungary'],
+                                'frequencies guessed':         [10,        15],
+                                'frequencies before deletion': [20,        30]
+                            }
+                        ],
+                        [
+                            {
+                                'batchcode':                   '# 009C01A',
+                                'countries':                   ['Germany'],
+                                'frequencies guessed':         [70],
+                                'frequencies before deletion': [80]
+                            }
+                        ]
+                       ],
+                index = pd.Index(
+                    [
+                        '!D0181',
+                        '# 009C01A'
+                    ],
+                    name = 'VAX_LOT')),
+            check_dtype = True)