Dynamic python configuration parser
Project description
levy
Yet Another Configuration Parser
This project is a lightweight take on configuration parsing with a twist.
So far, it only supports YAML files or reading configurations directly from a dict
.
The interesting approach here is regarding handling multiple environments. Usually we need to pass different parameters depending on where we are (DEV, PROD, and any arbitrary environment name we might use). It is also common to have these specific parameters available as env variables, be it our infra or in a CI/CD process.
levy
adds a jinja2
layer on top of our YAML files, so that not only we can load
env variables on the fly, but helps us leverage templating syntax to keep
our configurations centralized and DRY.
How to
Let's suppose we have the following configuration:
title: "Lévy the cat"
colors:
- "black"
- "white"
hobby:
eating:
what: "anything"
friends:
{% set friends = [ "cartman", "lima" ] %}
{% for friend in friends %}
- name: ${ friend }
type: "cat"
{% endfor %}
We have a bit of everything:
- Root configurations
- Simple lists
- Nested configurations
- Dynamic
jinja2
lists as nested configurations
We can create our Config
object as
from levy.config import Config
cfg = Config.read_dict("test.yaml")
As there is the jinja2
layer we might want to check what is the shape of the
parsed values. We can do so with cfg._vars
. In our case we'll get back something
like:
{
'title': 'Lévy the cat',
'colors': ['black', 'white'],
'hobby': {
'eating': {
'what': 'anything'
}
},
'friends': [
{'name': 'cartman', 'type': 'cat'},
{'name': 'lima', 'type': 'cat'}
]
}
OBS: When reading from files and for debugging purposes, we can access the
cfg._file
var to check what file was parsed.
Accessing values
All the information has been set as attributes to the Config
instance. We can
retrieve the values as cfg.<name>
, e.g.
cfg.title # 'Lévy the cat'
cfg.colors # ['black', 'white']
Note that so far those are just root
values, as they come directly from the root
configuration. Whenever we have a nested item, we are creating a Config
attribute
with the key as name:
print(cfg) # Config(root)
print(cfg.hobby) # Config(hobby)
If we need to retrieve nested values, as we are just nesting Config
instances, we can
keep chaining attribute calls:
cfg.hobby.eating.what # 'anything'
Nested Config lists
The colors
list has nothing fancy in it, as we have simple types. However, we want
to parse nested configurations as Config
, while being able to access them by name
as attributes.
To fit this spot we have namedtuple
s. The list attribute becomes a namedtuple
where
the properties are the name
s of the nested items. name
is set as the default
identifier, but we can pass others as parameter,
print(cfg.friends.lima) # Config(lima)
cfg.friends.lima.type # 'cat'
And if we check the type...
isinstance(cfg.friends, tuple) # True
Contributing
You can install the project requirements with make install
. To run the tests, make install_test
and make unit
.
With make precommit_install
you can install the pre-commit hooks.
To install the package from source, clone the repo, pip install flit
and run flit install
.
References
- pyconfs as inspiration.
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