152 lines
5.3 KiB
Python
152 lines
5.3 KiB
Python
"""
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This is the default template for our main set of AWS servers.
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"""
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# We intentionally define lots of variables that aren't used, and
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# want to import all variables from base settings files
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# pylint: disable=W0401, W0614
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import json
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from .common import *
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from logsettings import get_logger_config
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import os
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# specified as an environment variable. Typically this is set
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# in the service's upstart script and corresponds exactly to the service name.
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# Service variants apply config differences via env and auth JSON files,
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# the names of which correspond to the variant.
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SERVICE_VARIANT = os.environ.get('SERVICE_VARIANT', None)
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# when not variant is specified we attempt to load an unvaried
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# config set.
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CONFIG_PREFIX = ""
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if SERVICE_VARIANT:
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CONFIG_PREFIX = SERVICE_VARIANT + "."
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############### ALWAYS THE SAME ################################
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DEBUG = False
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TEMPLATE_DEBUG = False
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EMAIL_BACKEND = 'django_ses.SESBackend'
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SESSION_ENGINE = 'django.contrib.sessions.backends.cache'
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DEFAULT_FILE_STORAGE = 'storages.backends.s3boto.S3BotoStorage'
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###################################### CELERY ################################
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# Don't use a connection pool, since connections are dropped by ELB.
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BROKER_POOL_LIMIT = 0
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BROKER_CONNECTION_TIMEOUT = 1
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# For the Result Store, use the django cache named 'celery'
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CELERY_RESULT_BACKEND = 'cache'
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CELERY_CACHE_BACKEND = 'celery'
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# When the broker is behind an ELB, use a heartbeat to refresh the
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# connection and to detect if it has been dropped.
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BROKER_HEARTBEAT = 10.0
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BROKER_HEARTBEAT_CHECKRATE = 2
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# Each worker should only fetch one message at a time
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CELERYD_PREFETCH_MULTIPLIER = 1
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# Skip djcelery migrations, since we don't use the database as the broker
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SOUTH_MIGRATION_MODULES = {
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'djcelery': 'ignore',
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}
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# Rename the exchange and queues for each variant
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QUEUE_VARIANT = CONFIG_PREFIX.lower()
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CELERY_DEFAULT_EXCHANGE = 'edx.{0}core'.format(QUEUE_VARIANT)
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HIGH_PRIORITY_QUEUE = 'edx.{0}core.high'.format(QUEUE_VARIANT)
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DEFAULT_PRIORITY_QUEUE = 'edx.{0}core.default'.format(QUEUE_VARIANT)
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LOW_PRIORITY_QUEUE = 'edx.{0}core.low'.format(QUEUE_VARIANT)
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CELERY_DEFAULT_QUEUE = DEFAULT_PRIORITY_QUEUE
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CELERY_DEFAULT_ROUTING_KEY = DEFAULT_PRIORITY_QUEUE
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CELERY_QUEUES = {
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HIGH_PRIORITY_QUEUE: {},
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LOW_PRIORITY_QUEUE: {},
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DEFAULT_PRIORITY_QUEUE: {}
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}
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############# NON-SECURE ENV CONFIG ##############################
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# Things like server locations, ports, etc.
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with open(ENV_ROOT / CONFIG_PREFIX + "env.json") as env_file:
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ENV_TOKENS = json.load(env_file)
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LMS_BASE = ENV_TOKENS.get('LMS_BASE')
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# Note that MITX_FEATURES['PREVIEW_LMS_BASE'] gets read in from the environment file.
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SITE_NAME = ENV_TOKENS['SITE_NAME']
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LOG_DIR = ENV_TOKENS['LOG_DIR']
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CACHES = ENV_TOKENS['CACHES']
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SESSION_COOKIE_DOMAIN = ENV_TOKENS.get('SESSION_COOKIE_DOMAIN')
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# allow for environments to specify what cookie name our login subsystem should use
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# this is to fix a bug regarding simultaneous logins between edx.org and edge.edx.org which can
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# happen with some browsers (e.g. Firefox)
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if ENV_TOKENS.get('SESSION_COOKIE_NAME', None):
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# NOTE, there's a bug in Django (http://bugs.python.org/issue18012) which necessitates this being a str()
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SESSION_COOKIE_NAME = str(ENV_TOKENS.get('SESSION_COOKIE_NAME'))
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#Email overrides
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DEFAULT_FROM_EMAIL = ENV_TOKENS.get('DEFAULT_FROM_EMAIL', DEFAULT_FROM_EMAIL)
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DEFAULT_FEEDBACK_EMAIL = ENV_TOKENS.get('DEFAULT_FEEDBACK_EMAIL', DEFAULT_FEEDBACK_EMAIL)
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ADMINS = ENV_TOKENS.get('ADMINS', ADMINS)
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SERVER_EMAIL = ENV_TOKENS.get('SERVER_EMAIL', SERVER_EMAIL)
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MKTG_URLS = ENV_TOKENS.get('MKTG_URLS', MKTG_URLS)
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#Timezone overrides
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TIME_ZONE = ENV_TOKENS.get('TIME_ZONE', TIME_ZONE)
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for feature, value in ENV_TOKENS.get('MITX_FEATURES', {}).items():
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MITX_FEATURES[feature] = value
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LOGGING = get_logger_config(LOG_DIR,
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logging_env=ENV_TOKENS['LOGGING_ENV'],
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syslog_addr=(ENV_TOKENS['SYSLOG_SERVER'], 514),
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debug=False,
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service_variant=SERVICE_VARIANT)
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################ SECURE AUTH ITEMS ###############################
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# Secret things: passwords, access keys, etc.
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with open(ENV_ROOT / CONFIG_PREFIX + "auth.json") as auth_file:
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AUTH_TOKENS = json.load(auth_file)
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# If Segment.io key specified, load it and turn on Segment.io if the feature flag is set
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# Note that this is the Studio key. There is a separate key for the LMS.
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SEGMENT_IO_KEY = AUTH_TOKENS.get('SEGMENT_IO_KEY')
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if SEGMENT_IO_KEY:
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MITX_FEATURES['SEGMENT_IO'] = ENV_TOKENS.get('SEGMENT_IO', False)
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AWS_ACCESS_KEY_ID = AUTH_TOKENS["AWS_ACCESS_KEY_ID"]
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AWS_SECRET_ACCESS_KEY = AUTH_TOKENS["AWS_SECRET_ACCESS_KEY"]
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DATABASES = AUTH_TOKENS['DATABASES']
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MODULESTORE = AUTH_TOKENS['MODULESTORE']
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CONTENTSTORE = AUTH_TOKENS['CONTENTSTORE']
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# Datadog for events!
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DATADOG_API = AUTH_TOKENS.get("DATADOG_API")
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# Celery Broker
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CELERY_BROKER_TRANSPORT = ENV_TOKENS.get("CELERY_BROKER_TRANSPORT", "")
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CELERY_BROKER_HOSTNAME = ENV_TOKENS.get("CELERY_BROKER_HOSTNAME", "")
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CELERY_BROKER_USER = AUTH_TOKENS.get("CELERY_BROKER_USER", "")
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CELERY_BROKER_PASSWORD = AUTH_TOKENS.get("CELERY_BROKER_PASSWORD", "")
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BROKER_URL = "{0}://{1}:{2}@{3}".format(CELERY_BROKER_TRANSPORT,
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CELERY_BROKER_USER,
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CELERY_BROKER_PASSWORD,
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CELERY_BROKER_HOSTNAME)
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