258 lines
7.9 KiB
Python
258 lines
7.9 KiB
Python
"""
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This is the default template for our main set of AWS servers.
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Before importing this settings file the following MUST be
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defined in the environment:
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* SERVICE_VARIANT - can be either "lms" or "cms"
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* CONFIG_ROOT - the directory where the application
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yaml config files are located
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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=wildcard-import, unused-wildcard-import, undefined-variable, used-before-assignment
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import yaml
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from .common import *
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from openedx.core.lib.logsettings import get_logger_config
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from util.config_parse import convert_tokens
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import os
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from path import path
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from xmodule.modulestore.modulestore_settings import convert_module_store_setting_if_needed
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# https://stackoverflow.com/questions/2890146/how-to-force-pyyaml-to-load-strings-as-unicode-objects
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from yaml import Loader, SafeLoader
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def construct_yaml_str(self, node):
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"""
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Override the default string handling function
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to always return unicode objects
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"""
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return self.construct_scalar(node)
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Loader.add_constructor(u'tag:yaml.org,2002:str', construct_yaml_str)
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SafeLoader.add_constructor(u'tag:yaml.org,2002:str', construct_yaml_str)
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# SERVICE_VARIANT specifies name of the variant used, which decides what YAML
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# configuration files are read during startup.
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SERVICE_VARIANT = os.environ.get('SERVICE_VARIANT', None)
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# CONFIG_ROOT specifies the directory where the YAML configuration
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# files are expected to be found. If not specified, use the project
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# directory.
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CONFIG_ROOT = path(os.environ.get('CONFIG_ROOT', ENV_ROOT))
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# CONFIG_PREFIX specifies the prefix of the YAML configuration files,
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# based on the service variant. If no variant is use, don't use a
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# prefix.
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CONFIG_PREFIX = SERVICE_VARIANT + "." if SERVICE_VARIANT else ""
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##############################################################
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#
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# DEFAULT SETTINGS FOR PRODUCTION
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#
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# These are defaults common for all production deployments
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#
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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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##############################################################
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#
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# DEFAULT SETTINGS FOR CELERY
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#
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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 = 'djcelery.backends.cache:CacheBackend'
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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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CELERY_ALWAYS_EAGER = False
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GIT_REPO_EXPORT_DIR = '/edx/var/edxapp/export_course_repos'
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SESSION_INACTIVITY_TIMEOUT_IN_SECONDS = None
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EMAIL_FILE_PATH = None
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STATIC_URL_BASE = None
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STATIC_ROOT_BASE = None
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SESSION_COOKIE_NAME = None
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ADDL_INSTALLED_APPS = []
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AUTH_USE_CAS = False
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CAS_ATTRIBUTE_CALLBACK = None
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MICROSITE_ROOT_DIR = ''
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SEGMENT_IO = False
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DATADOG = {}
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ADDL_INSTALLED_APPS = []
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LOCAL_LOGLEVEL = 'INFO'
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##############################################################
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#
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# ENV TOKEN IMPORT
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#
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# Currently non-secure and secure settings are managed
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# in two yaml files. This section imports the non-secure
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# settings and modifies them in code if necessary.
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#
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with open(CONFIG_ROOT / CONFIG_PREFIX + "env.yaml") as env_file:
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ENV_TOKENS = yaml.load(env_file)
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ENV_TOKENS = convert_tokens(ENV_TOKENS)
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##########################################
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# Merge settings from common.py
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#
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# Before the tokens are imported directly
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# into settings some dictionary settings
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# need to be merged from common.py
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ENV_FEATURES = ENV_TOKENS.get('FEATURES', ENV_TOKENS.get('MITX_FEATURES', {}))
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for feature, value in ENV_FEATURES.items():
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FEATURES[feature] = value
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# Delete keys from ENV_TOKENS so that when it's imported
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# into settings it doesn't override what was set above
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if 'FEATURES' in ENV_TOKENS:
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del ENV_TOKENS['FEATURES']
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vars().update(ENV_TOKENS)
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##########################################
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# Manipulate imported settings with code
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#
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# For historical reasons some settings need
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# to be modified in code. For example
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# conversions to other data structures that
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# cannot be represented in YAML.
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if STATIC_URL_BASE:
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# collectstatic will fail if STATIC_URL is a unicode string
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STATIC_URL = STATIC_URL_BASE.encode('ascii')
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if not STATIC_URL.endswith("/"):
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STATIC_URL += "/"
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STATIC_URL += EDX_PLATFORM_REVISION + "/"
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if STATIC_ROOT_BASE:
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STATIC_ROOT = path(STATIC_ROOT_BASE) / EDX_PLATFORM_REVISION
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# Cache used for location mapping -- called many times with the same key/value
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# in a given request.
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if 'loc_cache' not in CACHES:
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CACHES['loc_cache'] = {
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'BACKEND': 'django.core.cache.backends.locmem.LocMemCache',
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'LOCATION': 'edx_location_mem_cache',
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}
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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 SESSION_COOKIE_NAME:
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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(SESSION_COOKIE_NAME)
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# Additional installed apps
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for app in ADDL_INSTALLED_APPS:
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INSTALLED_APPS += (app,)
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LOGGING = get_logger_config(LOG_DIR,
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local_loglevel=LOCAL_LOGLEVEL,
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logging_env=LOGGING_ENV,
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debug=False,
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service_variant=SERVICE_VARIANT)
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if AUTH_USE_CAS:
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AUTHENTICATION_BACKENDS = (
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'django.contrib.auth.backends.ModelBackend',
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'django_cas.backends.CASBackend',
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)
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INSTALLED_APPS += ('django_cas',)
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MIDDLEWARE_CLASSES += ('django_cas.middleware.CASMiddleware',)
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if CAS_ATTRIBUTE_CALLBACK:
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import importlib
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CAS_USER_DETAILS_RESOLVER = getattr(
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importlib.import_module(CAS_ATTRIBUTE_CALLBACK['module']),
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CAS_ATTRIBUTE_CALLBACK['function']
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)
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MICROSITE_ROOT_DIR = path(MICROSITE_ROOT_DIR)
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##############################################################
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#
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# AUTH TOKEN IMPORT
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#
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with open(CONFIG_ROOT / CONFIG_PREFIX + "auth.yaml") as auth_file:
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AUTH_TOKENS = yaml.load(auth_file)
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AUTH_TOKENS = convert_tokens(AUTH_TOKENS)
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vars().update(AUTH_TOKENS)
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##########################################
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# Manipulate imported settings with code
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#
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if SEGMENT_IO_KEY:
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FEATURES['SEGMENT_IO'] = SEGMENT_IO
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if AWS_ACCESS_KEY_ID == "":
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AWS_ACCESS_KEY_ID = None
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if AWS_SECRET_ACCESS_KEY == "":
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AWS_SECRET_ACCESS_KEY = None
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MODULESTORE = convert_module_store_setting_if_needed(MODULESTORE)
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# TODO: deprecated (compatibility with previous settings)
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if 'DATADOG_API' in AUTH_TOKENS:
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DATADOG['api_key'] = AUTH_TOKENS['DATADOG_API']
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BROKER_URL = "{0}://{1}:{2}@{3}/{4}".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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CELERY_BROKER_VHOST)
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