Hierarchical YAML configuration utility for Python
yamlcfg makes it easier to have different levels of YAML configuration files,
with prioritization that you declare, based on the order of the paths
keyword argument.
It first checks your environment for the variable, and if it exists, it uses
that over anything else. Then it checks the first file in paths
, or path
,
and then the next in order until the variable is found. If not found, it returns
None.
Access is allowed via normal attribute access via the dot operator, or from
an index such as config['myattr']
.
To dump the full configuration that was loaded back to file (first path in
paths
), just invoke write()
.
Example:
from yamlcfg import YamlConfig
config = YamlConfig(path='~/.some_config.yml')
print(config.foo)
config.foo = 'bar'
config.write()
fifo_configs = YamlConfig(paths=
('.myconfig.yml', '~/.userconfig.yml', '/etc/myconfig/defaultconfig.yml')
)
# First checks .myconfig.yml, and if it doesn't exist there, it checks
# ~/.userconfig.yml, and so on. If an environment variable of the same name
# is set, it will use that first.
print(fifo_configs.some_var)
# Dumps to the first path in paths, with every variable it found in order.
fifo_configs.write()