rjsparks/ietf-guides

A small django project to help match IETF guide program guides to participants

A small django project to help match IETF guide program guides to participants

• Setup for a development environment
• Running a prebuilt image under docker
• Dummy Data
• Contributing

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Setup for a development environment

• check out a working copy
• create and activate a python3 virtualenv

  virtualenv --python=python 3 .
  . bin/activate
  pip install -r requirements.txt

• set up a database and a user that has all privileges with it.
• create ietf_guides/settings/local.py and add values for
  • SECRET_KEY (this is the usual django SECRET_KEY)
  • HASHSALT (some short string - see guides/utils.py for how this is used)
  • DEFAULT_FROM_EMAIL
  • DATABASES (a dict matching the database you set up above)

Some possible DATABASE dicts:

DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.sqlite3',
        'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
    }
}

DATABASES = {
    'default': {
        'NAME': 'ietf_guides',
        'ENGINE': 'django.db.backends.mysql',
        'USER': <your db user>,
        'PASSWORD': <your db password>,
        'OPTIONS': {'init_command': "SET sql_mode='STRICT_TRANS_TABLES'"},
    },
}

• export which settings you want to use as DJANGO_SETTINGS_MODULE (e.g. ietf_guides.settings.dev) or supply settings on the command line as necessary
• ./manage.py migrate
• ./manage.py test --settings=ietf_guides.settings.test
• ./manage.py createsuperuser

Running a prebuilt image under docker

• set up a database and a user that has all privileges with it
• create a run directory outside any clone of the source
• create a local.py in that directory as above
• start the most recent image from https://cloud.docker.com/u/ietf/repository/docker/ietf/ietf_guides mapping your local.py and possibly your database socket into the container using a command similar to:

docker run -it -v ${PWD}/logs:/code/logs -v ${PWD}/local.py:/code/ietf_guides/settings/local.py -p 8002:80 --name ietf-guides ghcr.io/ietf-tools/ietf-guides:latest

or perhaps

docker run -it -v ${PWD}/logs:/code/logs -v ${PWD}/secrets/local.py:/code/ietf_guides/settings/local.py -v /var/run/mysql:/var/run/mysql -p 8002:80 --name ietf-guides ghcr.io/ietf-tools/ietf-guides:latest

The website will then be exposed at http://localhost:8002

Dummy data

running ./manage.py make_dummy_data will create ten guides and ten participants with field values populated by Faker.