def reindex_data(self, user, typed_columns=None, column_types=None):
"""
Reindex the data currently stored for this ``Dataset``.
"""
self.lock()
try:
if typed_columns:
for i, t in enumerate(typed_columns):
self.column_schema[i]["indexed"] = t
if column_types:
for i, t in enumerate(column_types):
self.column_schema[i]["type"] = t
self.column_schema = update_indexed_names(self.column_schema)
self.current_task = TaskStatus.objects.create(task_name="panda.tasks.reindex", creator=user)
self.save()
ReindexTask.apply_async(args=[self.slug], kwargs={}, task_id=self.current_task.id)
except:
self.unlock()
raise
def test_generate_typed_column_names_some(self):
self.dataset.import_data(self.user, self.upload)
typed_columns = [True, False, True, True]
for i, c in enumerate(self.dataset.column_schema):
self.dataset.column_schema[i]['indexed'] = typed_columns.pop(0)
self.dataset.column_schema = update_indexed_names(self.dataset.column_schema)
self.assertEqual([c['indexed_name'] for c in self.dataset.column_schema], ['column_int_id', None, 'column_unicode_last_name', 'column_unicode_employer'])
def test_generate_typed_column_names_conflict(self):
self.dataset.import_data(self.user, self.upload)
utils.wait()
typed_columns = [True, False, True, True]
for i, c in enumerate(self.dataset.column_schema):
self.dataset.column_schema[i]['name'] = 'test'
self.dataset.column_schema[i]['indexed'] = typed_columns.pop(0)
self.dataset.column_schema = update_indexed_names(self.dataset.column_schema)
self.assertEqual([c['indexed_name'] for c in self.dataset.column_schema], ['column_int_test', None, 'column_unicode_test', 'column_unicode_test2'])
def test_generate_typed_column_names_some(self):
self.dataset.import_data(self.user, self.upload)
typed_columns = [True, False, True, True]
for i, c in enumerate(self.dataset.column_schema):
self.dataset.column_schema[i]['indexed'] = typed_columns.pop(0)
self.dataset.column_schema = update_indexed_names(
self.dataset.column_schema)
self.assertEqual(
[c['indexed_name'] for c in self.dataset.column_schema], [
'column_int_id', None, 'column_unicode_last_name',
'column_unicode_employer'
])
def reindex_data(self, user, typed_columns=None, column_types=None):
"""
Reindex the data currently stored for this ``Dataset``.
"""
self.lock()
task_type = ReindexTask
try:
typed_column_count = 0
if typed_columns:
for i, t in enumerate(typed_columns):
self.column_schema[i]['indexed'] = t
if t:
typed_column_count += 1
if column_types:
for i, t in enumerate(column_types):
self.column_schema[i]['type'] = t
self.column_schema = update_indexed_names(self.column_schema)
self.current_task = TaskStatus.objects.create(
task_name=task_type.name,
task_description=_('Reindex %(slug)s with %(typed_column_count)i column filters.') \
% {'slug': self.slug, 'typed_column_count': typed_column_count},
creator=user
)
self.save()
task_type.apply_async(
args=[self.slug],
kwargs={},
task_id=self.current_task.id
)
except:
self.unlock()
raise
def reindex_data(self, user, typed_columns=None, column_types=None):
"""
Reindex the data currently stored for this ``Dataset``.
"""
self.lock()
task_type = ReindexTask
try:
typed_column_count = 0
if typed_columns:
for i, t in enumerate(typed_columns):
self.column_schema[i]['indexed'] = t
if t:
typed_column_count += 1
if column_types:
for i, t in enumerate(column_types):
self.column_schema[i]['type'] = t
self.column_schema = update_indexed_names(self.column_schema)
self.current_task = TaskStatus.objects.create(
task_name=task_type.name,
task_description=_('Reindex %(slug)s with %(typed_column_count)i column filters.') \
% {'slug': self.slug, 'typed_column_count': typed_column_count},
creator=user
)
self.save()
task_type.apply_async(args=[self.slug],
kwargs={},
task_id=self.current_task.id)
except:
self.unlock()
raise
