def read(self, query: str, limit: int = None) -> Dataset:
"""Run a read(select) query to the database.
It should return a list of tuples,
the first tuple is metadata, each element is a tuple of column name and data type,
the rest are the records.
:param query: the sql query
:param limit: the maximum number of records to return
:return: a list of tuples
"""
data = Dataset()
cursor = self.connection.cursor()
query = self.add_row_limit_in_query(query, limit)
cursor.execute(query)
result = cursor.fetchall()
if cursor.description:
data.headers = [
'{0}({1})'.format(d[0], self.get_data_type(d[1]))
for d in cursor.description
]
data.extend(result)
cursor.close()
return data
def test_chunks(self):
data = Dataset(*[('Matteo', 'Guadrini',
35), ('Arthur', 'Dent', 42), ('Ford', 'Prefect',
42)])
data.extend([('Matteo', 'Guadrini', 35), ('Arthur', 'Dent', 42),
('Ford', 'Prefect', 42)])
data.headers = ['name', 'surname', 'age']
self.assertEqual(
list(pyreports.chunks(data, 4))[0][0], ('Matteo', 'Guadrini', 35))
def to_dataset(observations: AnyObservations) -> Dataset:
"""Convert observations to a generic tabular dataset. This can be converted to any of the
`formats supported by tablib <https://tablib.readthedocs.io/en/stable/formats>`_.
"""
if isinstance(observations, Dataset):
return observations
flat_observations = flatten_observations(observations, flatten_lists=True)
dataset = Dataset()
headers, flat_observations = _fix_dimensions(flat_observations)
dataset.headers = headers
dataset.extend([item.values() for item in flat_observations])
return dataset
def export_view(self, request):
dataset = Dataset(headers=self.export_headers)
filename = timezone.now().date().strftime(self.export_filename)
for r in self.get_queryset(request):
rows = []
for site in r.sites.all():
rows.append([
site.domain,
r.get_full_inbound_route(),
r.outbound_route,
])
dataset.extend(rows)
response = HttpResponse(dataset.csv, content_type='text/csv; charset=utf-8')
response['Content-Disposition'] = 'attachment; filename="{0}"'.format(filename)
return response
def export_view(self, request):
dataset = Dataset(headers=self.export_headers)
filename = timezone.now().date().strftime(self.export_filename)
for r in self.get_queryset(request):
rows = []
for site in r.sites.all():
rows.append([
site.domain,
r.get_full_inbound_route(),
r.outbound_route,
])
dataset.extend(rows)
response = HttpResponse(dataset.csv, content_type='text/csv; charset=utf-8')
response['Content-Disposition'] = 'attachment; filename="{0}"'.format(filename)
return response
def merge(*datasets):
"""
Merge two or more dataset in only one
:param datasets: Dataset object collection
:return: Dataset
"""
if len(datasets) >= 2:
new_data = Dataset()
# Check len of row
length_row = len(datasets[0][0])
for data in datasets:
if length_row != len(data[0]):
raise InvalidDimensions('the row are not the same length')
new_data.extend(data)
return new_data
else:
raise ReportDataError('you can merge two or more dataset object')
def export_view(self, request):
dataset = Dataset(headers=self.export_headers)
filename = timezone.now().date().strftime(self.export_filename)
redirects = self.get_queryset(request).prefetch_related('translations')
for r in redirects:
rows = []
for translation in r.translations.all():
rows.append([
r.site.domain,
r.old_path,
translation.new_path,
translation.language_code,
])
dataset.extend(rows)
response = HttpResponse(dataset.csv, content_type='text/csv; charset=utf-8')
response['Content-Disposition'] = 'attachment; filename="{0}"'.format(filename)
return response
def export_view(self, request):
dataset = Dataset(headers=self.export_headers)
filename = timezone.now().date().strftime(self.export_filename)
redirects = self.get_queryset(request).prefetch_related('translations')
for r in redirects:
rows = []
for translation in r.translations.all():
rows.append([
r.site.domain,
r.old_path,
translation.new_path,
translation.language_code,
])
dataset.extend(rows)
response = HttpResponse(dataset.csv, content_type='text/csv; charset=utf-8')
response['Content-Disposition'] = 'attachment; filename="{0}"'.format(filename)
return response