def _prepare_column_name(pattern, column_names):
for column_name in column_names:
match = pattern.match(normalize_key(
column_name, separate_camel_case=True, separate_letter_digit=True))
if match:
return column_name, match.groups()
return None, ()
def get_tool_name(path):
file_name = basename(path)
base_name = splitext(file_name)[0]
return normalize_key(base_name,
word_separator='-',
separate_camel_case=True,
separate_letter_digit=True)
def normalize_arguments(normalization_functions, g):
errors = []
# Normalize columns
for k, v in g.items():
if not hasattr(v, 'columns'):
continue
v.columns = [normalize_key(x, '_') for x in v.columns]
# Normalize tables
for normalize_argument in normalization_functions:
try:
g.update(compute(normalize_argument, g))
except ValidationError as e:
print(e)
errors.append(e)
# Make decision
if errors:
raise InfrastructurePlanningError('could not normalize arguments')
return g
def _singular(Class):
key = getattr(Class, "__name__", Class.__class__.__name__)
return normalize_key(key, word_separator="_", separate_camel_case=True)