I've created a Configuration model in django so that the site admin can change some settings on the fly, however some of the models are reliant on these configurations. I'm using Django 2.0.2 and Python 3.6.4.
I created a config.py file in the same directory as models.py.
Let me paracode (paraphase the code? Real Enum has many more options):
# models.py
from .config import *
class Configuration(models.Model):
starting_money = models.IntegerField(default=1000)
class Person(models.Model):
funds = models.IntegarField(default=getConfig(ConfigData.STARTING_MONEY))
# config.py
from .models import Configuration
class ConfigData(Enum):
STARTING_MONEY = 1
def getConfig(data):
if not isinstance(data, ConfigData):
raise TypeError(f"{data} is not a valid configuration type")
try:
config = Configuration.objects.get_or_create()
except Configuration.MultipleObjectsReturned:
# Cleans database in case multiple configurations exist.
Configuration.objects.exclude(Configuration.objects.first()).delete()
return getConfig(data)
if data is ConfigData.MAXIMUM_STAKE:
return config.max_stake
How can I do this without an import error? I've tried absolute imports
Willem Van Onsem's solution is a good one. I have a different approach which I have used for circular model dependencies using django's Applications registry. I post it here as an alternate solution, in part because I'd like feedback from more experienced python coders as to whether or not there are problems with this approach.
In a utility module, define the following method:
Then in your getConfig, omit the import and replace the line
with the following:
You can postpone loading the
models.py
by loading it in thegetConfig(data)
function, as a result we no longer needmodels.py
at the time we loadconfig.py
:We thus do not load
models.py
in theconfig.py
. We only check if it is loaded (and load it if not) when we actually execute thegetConfig
function, which is later in the process.