refining DictByBatchcodeTable2JsonConverterTest

This commit is contained in:
frankknoll
2023-01-26 23:31:34 +01:00
parent 0dc544f880
commit 56a903ebbe
2 changed files with 9 additions and 5 deletions

View File

@@ -17,9 +17,13 @@ class DictByBatchcodeTable2JsonConverter:
dictByBatchcodeTable
.apply(
lambda row: {
"batchcodes": list(row.name),
"batchcodes": DictByBatchcodeTable2JsonConverter._getNaNBatchcodes(row.name),
"histogram": row['SYMPTOM_COUNT_BY_VAX_LOT']
},
axis = 'columns')
.to_list()
)
@staticmethod
def _getNaNBatchcodes(batchcodes):
return [batchcode for batchcode in batchcodes if batchcode != 'nan']

View File

@@ -23,9 +23,9 @@ class DictByBatchcodeTable2JsonConverterTest(unittest.TestCase):
]
],
index = pd.MultiIndex.from_tuples(
names = ['VAX_LOT1', 'VAX_LOT2'],
tuples = [['1808982', 'EW0175'],
['015M20A', '1808982']]))
names = ['VAX_LOT1', 'VAX_LOT2', 'VAX_LOT3'],
tuples = [['1808982', 'EW0175', 'FD1921'],
['015M20A', '1808982', 'nan']]))
# When
jsonActual = DictByBatchcodeTable2JsonConverter.convertDictByBatchcodeTable2Json(dictByBatchcodeTable, '1808982')
@@ -38,7 +38,7 @@ class DictByBatchcodeTable2JsonConverterTest(unittest.TestCase):
"batchcode": "1808982",
"histograms": [
{
"batchcodes": ["1808982", "EW0175"],
"batchcodes": ["1808982", "EW0175", "FD1921"],
"histogram": {
"Blood pressure orthostatic abnormal": 5,
"Chest discomfort": 1