def testSaveAndGetTable(self):
if IGNORE_TEST:
return
request = self._URL2Request(self._createURL(count=1)) # a request
self._addSessionToRequest(request)
self.assertEqual(sv.getTable(request), None)
table = Table("test")
sv.saveTable(request, table)
self.assertTrue(request.session.has_key(sv.TABLE_FILE_KEY))
new_table = sv.getTable(request)
self.assertEqual(new_table.getName(is_global_name=False),
table.getName(is_global_name=False))
def testSaveAndGetTable(self):
if IGNORE_TEST:
return
request = self._helper_http.URL2Request(
self._helper_http.createURL(count=1)) # a request
self._helper_http.addSessionToRequest(request)
self.assertEqual(sv.getTable(request), None)
table = Table("test")
sv.saveTable(request, table)
self.assertTrue(request.session.has_key(sv.TABLE_FILE_KEY))
new_table = sv.getTable(request)
self.assertEqual(new_table.getName(is_global_name=False),
table.getName(is_global_name=False))
def _getNodes(count):
nodes = []
while len(nodes) < count:
excludes = list(nodes)
node = _getNode(self.table, "Column", excludes=excludes)
if not Table.isNameColumn(node):
nodes.append(node)
return nodes
def setUp(self):
cat_values = []
for o in OTHER_NAMES:
for s in SFX_NAMES:
cat_values.append([o, s])
val_dict = {
CATEGORY_COLNM: cat_values,
VALUES_COLNM: VALUES,
}
df = pd.DataFrame(val_dict)
self.api = APIFormulas(Table("Dummy"))
self.api.addColumnsToTableFromDataframe(df)
def _findColumnWithType(self, table, val):
# Inputs: table - table being analyzed
# val - value whose type is to be matched
# Returns the index of the column with the specified type or None
# Assumes that the columns are either str or a number
def notIsStrs(vals):
return not cell_types.isStrs(vals)
if cell_types.isStr(val):
func = cell_types.isStrs
else:
func = notIsStrs
for column in table.getColumns():
if Table.isNameColumn(column):
continue
if func(column.getCells()):
return table.indexFromColumn(column)
def _findColumnWithType(self, table, val):
"""
:param Table table:
:param object val:
:return Column:
Assumes that the columns are either str or a number
"""
def notIsStrs(vals):
return not cell_types.isStrs(vals)
if cell_types.isStr(val):
func = cell_types.isStrs
else:
func = notIsStrs
for column in table.getColumns():
if Table.isNameColumn(column):
continue
if func(column.getCells()):
return column