🐱Make more easy for reading/validating/updating config for python app
pip install catconfig
If you want to use validation feature, install cerberus module for your project to use it normally.
Install toml or pyyaml module for toml/yaml format parsing.
# Example.py
from catconfig import CatConfig, ValidationError
# Load
# Load config from string
c = CatConfig()
c.load_from_string("""
{
"foo": "bar"
}
""")
# Load config when initalizing CatConfig object
c = CatConfig(data={
'foo': 'bar'
})
# load config from file
c = CatConfig()
c.load_from_file('./tests/assests/test.json')
# Specify config type when initalizing CatConfig object
c = CatConfig(format='json')
c.load_from_file('./tests/assests/test.json')
# Specify config type when loading config file
c = CatConfig()
c.load_from_file('./tests/assests/test.json', format='json')
# Get item
print(c.foo)
# Print: bar
print(bool(c.some.value.does.nt.exists))
# Print: False
print(str(c.some.value.does.nt.exists))
# Print: None
print(c['foo'])
# Print: bar
print(c.get('foo'))
# Print: bar
# Validation
# visit https://docs.python-cerberus.org/en/stable/usage.html for more info of schema
schema = {
'foo': {
'type': 'integer'
},
'some_field': {
'type': 'string'
}
}
c = CatConfig(validator_schema=schema)
try:
c.load_from_file('./tests/assests/test.json')
except ValidationError as err:
print(err.message)
# Print:
# arr: unknown field
# foo: must be of integer typeMIT