Merge pull request #2953 from alphagov/numbers-in-excel-reports

Don’t convert Excel reports to CSV before output
This commit is contained in:
Chris Hill-Scott
2019-05-09 11:18:07 +01:00
committed by GitHub
3 changed files with 52 additions and 19 deletions

View File

@@ -223,14 +223,33 @@ class Spreadsheet():
allowed_file_extensions = ['csv', 'xlsx', 'xls', 'ods', 'xlsm', 'tsv']
def __init__(self, csv_data, filename=''):
def __init__(self, csv_data=None, rows=None, filename=''):
self.filename = filename
self.as_csv_data = csv_data
self.as_dict = {
if csv_data and rows:
raise TypeError('Spreadsheet must be created from either rows or CSV data')
self._csv_data = csv_data or ''
self._rows = rows or []
@property
def as_dict(self):
return {
'file_name': self.filename,
'data': self.as_csv_data
}
@property
def as_csv_data(self):
if not self._csv_data:
with StringIO() as converted:
output = csv.writer(converted)
for row in self._rows:
output.writerow(row)
self._csv_data = converted.getvalue()
return self._csv_data
@classmethod
def can_handle(cls, filename):
return cls.get_extension(filename) in cls.allowed_file_extensions
@@ -245,11 +264,7 @@ class Spreadsheet():
@classmethod
def from_rows(cls, rows, filename=''):
with StringIO() as converted:
output = csv.writer(converted)
for row in rows:
output.writerow(row)
return cls(converted.getvalue(), filename)
return cls(rows=rows, filename=filename)
@classmethod
def from_dict(cls, dictionary, filename=''):
@@ -257,7 +272,7 @@ class Spreadsheet():
zip(
*sorted(dictionary.items(), key=lambda pair: pair[0])
),
filename
filename=filename,
)
@classmethod
@@ -265,7 +280,7 @@ class Spreadsheet():
extension = cls.get_extension(filename)
if extension == 'csv':
return cls(Spreadsheet.normalise_newlines(file_content), filename)
return cls(csv_data=Spreadsheet.normalise_newlines(file_content), filename=filename)
if extension == 'tsv':
file_content = StringIO(
@@ -281,11 +296,13 @@ class Spreadsheet():
@property
def as_rows(self):
return list(csv.reader(
self.as_csv_data.strip().splitlines(),
quoting=csv.QUOTE_MINIMAL,
skipinitialspace=True,
))
if not self._rows:
self._rows = list(csv.reader(
self._csv_data.strip().splitlines(),
quoting=csv.QUOTE_MINIMAL,
skipinitialspace=True,
))
return self._rows
@property
def as_excel_file(self):

View File

@@ -989,12 +989,12 @@ def test_get_performance_platform_report(client, platform_admin_user, mocker):
mocker.patch(
'app.service_api_client.get_live_services_data',
return_value={'data': [
{'service_id': 1, 'service_name': 'jessie the oak tree', 'organisation_name': 'Forest',
{'service_id': 'abc123', 'service_name': 'jessie the oak tree', 'organisation_name': 'Forest',
'consent_to_research': True, 'contact_name': 'Forest fairy', 'organisation_type': 'Ecosystem',
'contact_email': 'forest.fairy@digital.cabinet-office.gov.uk', 'contact_mobile': '+447700900986',
'live_date': 'Sat, 29 Mar 2014 00:00:00 GMT', 'sms_volume_intent': 100, 'email_volume_intent': 50,
'letter_volume_intent': 20, 'sms_totals': 300, 'email_totals': 1200, 'letter_totals': 0},
{'service_id': 2, 'service_name': 'james the pine tree', 'organisation_name': 'Forest',
{'service_id': 'def456', 'service_name': 'james the pine tree', 'organisation_name': 'Forest',
'consent_to_research': None, 'contact_name': None, 'organisation_type': 'Ecosystem',
'contact_email': None, 'contact_mobile': None,
'live_date': None, 'sms_volume_intent': None, 'email_volume_intent': 60,
@@ -1008,6 +1008,6 @@ def test_get_performance_platform_report(client, platform_admin_user, mocker):
file_stream=response.get_data(),
) == [
['service_id', 'agency', 'service_name', '_timestamp', 'service', 'count'],
['1', 'Forest', 'jessie the oak tree', '2014-03-29T00:00:00Z', 'govuk-notify', '1'],
['2', 'Forest', 'james the pine tree', '', 'govuk-notify', '1'],
['abc123', 'Forest', 'jessie the oak tree', '2014-03-29T00:00:00Z', 'govuk-notify', 1],
['def456', 'Forest', 'james the pine tree', '', 'govuk-notify', 1],
]

View File

@@ -140,6 +140,22 @@ def test_can_create_spreadsheet_from_dict_with_filename():
assert Spreadsheet.from_dict({}, filename='empty.csv').as_dict['file_name'] == "empty.csv"
@pytest.mark.parametrize('args, kwargs', (
(
('hello', ['hello']),
{},
),
(
(),
{'csv_data': 'hello', 'rows': ['hello']}
),
))
def test_spreadsheet_checks_for_bad_arguments(args, kwargs):
with pytest.raises(TypeError) as exception:
Spreadsheet(*args, **kwargs)
assert str(exception.value) == 'Spreadsheet must be created from either rows or CSV data'
@pytest.mark.parametrize('created_by_name, expected_content', [
(
None, [