def load(filepaths, fields=[]):
'''
Load YAML settings from a list of file paths given.
- File paths in the list gets the priority by their orders
of the list.
- If fields are set, only the selected fields are loaded in the
returned object. For example, fields=['users', 'hosts'] will
eliminate all of the other loaded fields except for them.
'''
filepath = _locate_file(filepaths)
# TODO:
# Add support to load the selected fields only.
# It could take some time if you had a very large amount of fields.
# Currently, all settings are loaded and then pruned out.
# --------------------------------------------
# load settings into a YAMLDict object
yaml_dict = yamldict.load(open(filepath))
# if set, limit the YAMLDict object to only the selected fields
if fields:
yaml_dict.limit(fields)
# --------------------------------------------
# return YAMLDict object
return yaml_dict
def load(filepaths, fields=[]):
'''
Load YAML settings from a list of file paths given.
- File paths in the list gets the priority by their orders
of the list.
- If fields are set, only the selected fields are loaded in the
returned object. For example, fields=['users', 'hosts'] will
eliminate all of the other loaded fields except for them.
'''
filepath = _locate_file(filepaths)
# TODO:
# Add support to load the selected fields only.
# It could take some time if you had a very large amount of fields.
# Currently, all settings are loaded and then pruned out.
# --------------------------------------------
# load settings into a YAMLDict object
yaml_dict = yamldict.load(open(filepath))
# if set, limit the YAMLDict object to only the selected fields
if fields:
yaml_dict.limit(fields)
# --------------------------------------------
# return YAMLDict object
return yaml_dict
def _set_env_var(path, node):
env_path = "{}{}{}".format(
prefix.upper(), '_' if prefix else '',
'_'.join([str(key).upper() for key in path]))
env_val = os.environ.get(env_path, None)
if env_val is not None:
# convert the value to a YAML-defined type
env_dict = yamldict.load('val: {}'.format(env_val))
return env_dict.val
else:
return None
def _set_env_var(path, node):
env_path = "{0}{1}{2}".format(
prefix.upper(),
'_' if prefix else '',
'_'.join([str(key).upper() for key in path])
)
env_val = os.environ.get(env_path, None)
if env_val is not None:
# convert the value to a YAML-defined type
env_dict = yamldict.load('val: {0}'.format(env_val))
return env_dict.val
else:
return None
