Btw. at the moment I ended up with
ON_APP_ENGINE = os.getenv('SERVER_SOFTWARE', '').startswith('Google App
Engine')
if ON_APP_ENGINE:
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'HOST': '/cloudsql/supple-century-124208:supple-century-124208',
'NAME': 'appengine_django_skkeleton',
'USER': 'root',
}
}
else:
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': 'appengine_django_skkeleton',
'USER': 'root',
'PASSWORD': '1234',
'HOST': '127.0.0.1',
'PORT': '3306',
},
'prod': {
'ENGINE': 'django.db.backends.mysql',
'NAME': '<prod-database-name>',
'USER': '<prod-database-user>',
'PASSWORD': '<prod-database-password>',
'HOST': '<prod-database-ip>',
'PORT': '3306',
}
}
and than running management task through the remote api shell
remote_api_shell.py -s APP-ID.appspot.com
import os
from google.appengine.ext import vendor
vendor.add('lib')
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "mysite.settings")
import django
django.setup()
from django.core import management
management.call_command('makemigrations', 'polls', interactive=True)
management.call_command('migrate', interactive=False)
management.call_command('migrate', database='prod', interactive=False)
management.call_command('createsuperuser', database='prod',
interactive=True)
./manage.py was getting unusable after I started using things from `from
google.appengine.api`. Is there an easier way to use management commands
with the GAE stuff loaded then djangae is doing it?
https://github.com/potatolondon/djangae/blob/master/djangae/sandbox.py
On Monday, March 7, 2016 at 3:11:54 PM UTC+1, Silvan Spross wrote:
>
> I'm used to deploy to managed servers through some Fabric scripts (or CI's
> using them). I also run a project with Docker, where Django, Celery, Redis,
> RabbitMQ, Postgres and Ngnix are in separate containers.
>
> However, now I want to give Google App Engine a try. I don't want to use
> Google Container Engine or Google App Engine Managed VM for now. I consider
> them as another option if using plain Google App Engine does not work out.
>
> My goals are:
>
> 1.
> *Separated Environments *Development, Stage and Production (where stage
> and production can be just different app engine projects and so can be
> considered as "the same").
>
> 2. *Using Task Queue* (instead of Celery)
> Used for async tasks and scheduled ones (cronjob).
>
> 3. *Using Memcache* (instead of Redis)
> For caching keys up to caching templates etc.
>
> 4.
> *Using Cloud Storage (Buckets) as Storage backend *For media files.
>
> 5. *Using CloudSQL* (instead of Postgres)
> I don't care about nonrel for the moment. Using Datastore should be a
> future goal here.
>
> My subject is all about how to setup and separate environments (1). But if
> someone has feedback or input about another goal, why e.g. not to use it,
> I'm very happy to hear! Btw. my test project is much alike
> https://github.com/GoogleCloudPlatform/appengine-django-skeleton for now.
>
> What bugs me at the moment:
>
> - Load different settings e.g. database based on
> os.getenv('SERVER_SOFTWARE', '').startswith('Google App Engine')
> Is this best practice?
>
> - I run my application local with:
> source env/bin/activate
> dev_appserver.py app.yaml
> to have python libraries that use C extensions loaded locally (like
> mysql) and that
> google.appengine
> is available. But how can I run django management commands locally?
> Whats best practice here?
>
> - And the biggest one: Whats best practice to migrate production
> database? I heard stuff about interacting with the database through a
> separate GCE instance running scripts. Or is there no best practice
> because
> with Datastore "you don't need" migrations ;)
>
> I would be very happy about some tipps pointing me to the right direction.
> Thank you!
> Silvan
>
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