I'm using a YAML configuration file. So this is the code to load my config in Python:
import os
import yaml
with open('./config.yml') as file:
config = yaml.safe_load(file)
This code actually creates a dictionary. Now the problem is that in order to access the values I need to use tons of brackets.
YAML:
mysql:
user:
pass: secret
Python:
import os
import yaml
with open('./config.yml') as file:
config = yaml.safe_load(file)
print(config['mysql']['user']['pass']) # <--
I'd prefer something like that (dot notation):
config('mysql.user.pass')
So, my idea is to utilize the PyStache render() interface.
import os
import yaml
with open('./config.yml') as file:
config = yaml.safe_load(file)
import pystache
def get_config_value( yml_path, config ):
return pystache.render('{{' + yml_path + '}}', config)
get_config_value('mysql.user.pass', config)
Would that be a "good" solution? If not, what would be a better alternative?
Additional question [Solved]
I've decided to use Ilja Everilä's solution. But now I've got an additional question: How would you create a wrapper Config class around DotConf?
The following code doesn't work but I hope you get the idea what I'm trying to do:
class Config( DotDict ):
def __init__( self ):
with open('./config.yml') as file:
DotDict.__init__(yaml.safe_load(file))
config = Config()
print(config.django.admin.user)
Error:
AttributeError: 'super' object has no attribute '__getattr__'
Solution
You just need to pass self to the constructor of the super class.
DotDict.__init__(self, yaml.safe_load(file))
Even better soltution (Ilja Everilä)
super().__init__(yaml.safe_load(file))