I'd like to use a configuration file format which supports key value pairs and nestable, repeatable structures, and which is as light on syntax as possible. I'm imagining something along the lines of:
cachedir = /var/cache
mail_to = [email protected]
job {
name = my-media
frequency = 1 day
source {
from = /home/michael/Images
source { }
source { }
}
job { }
I'd be happy with something using significant-whitespace as well.
JSON requires too many explicit syntax rules (quoting, commas, etc.). YAML is actually pretty good, but would require the jobs to be defined as a YAML list, which I find slightly awkward to use.
Simple configuration languages, such as JSON, work for many applications, but when you need proper validation, schema, and namespace support, XML is often best.
Python can have config files with all settings needed by the application dynamically or periodically. Python config files have the extension as . ini. We'll use VS Code (Visual Studio Code) to create a main method that uses config file to read the configurations and then print on the console.
I think YAML is great for this purpose, actually:
jobs:
- name: my-media
...
- name: something else
...
Or, as a dict instead of list:
jobs:
my-media:
frequency: 1 day
...
something-else:
frequency: 2 day
...
Another thing to consider, which you might not have, is using Python source for the configuration. You can nest Python dicts and lists in a very readable manner and it provides multiple unexpected benefits. Django uses Python source for its settings files, for example.
As Python's built-in configparser
module does not seem to support nested sections, I'd first try ConfigObj. (See an introductory tutorial here). According to its homepage, this is the set of features worth mentioning:
ConfigObj is used by Bazaar, Trac, IPython, matplotlib and many other large Python projects, so it seems pretty mature and stable to me (although I never used it myself).
I think you should check libconfig library http://www.hyperrealm.com/libconfig/. There should be somewhere python bindings for it.
Another solution is to use json format which is already provided by python itself. Search documentation for JSON module.
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