Python parse_redis_connection Examples

Example #1

    },
    "custom_fields": {
        "USE_REDIS_CACHE": "default",
    },
    "webhooks": {
        "USE_REDIS_CACHE": "default",
    },
}

#
# Celery (used for background processing)
#

# Celery broker URL used to tell workers where queues are located
CELERY_BROKER_URL = os.getenv("NAUTOBOT_CELERY_BROKER_URL",
                              parse_redis_connection(redis_database=0))

# Celery results backend URL to tell workers where to publish task results
CELERY_RESULT_BACKEND = os.getenv("NAUTOBOT_CELERY_RESULT_BACKEND",
                                  parse_redis_connection(redis_database=0))

# Instruct celery to report the started status of a job, instead of just `pending`, `finished`, or `failed`
CELERY_TASK_TRACK_STARTED = True

# Global task time limits (seconds)
# Exceeding the soft limit will result in a SoftTimeLimitExceeded exception,
# while exceeding the hard limit will result in a SIGKILL.
CELERY_TASK_SOFT_TIME_LIMIT = int(
    os.getenv("NAUTOBOT_CELERY_TASK_SOFT_TIME_LIMIT", 5 * 60))
CELERY_TASK_TIME_LIMIT = int(
    os.getenv("NAUTOBOT_CELERY_TASK_TIME_LIMIT", 10 * 60))

Example #2

File: nautobot_config.py Project: jfach/nautobot

                "level": LOG_LEVEL,
            },
        },
    }

# Redis variables

# The django-redis cache is used to establish concurrent locks using Redis. The
# django-rq settings will use the same instance/database by default.
#
# This "default" server is now used by RQ_QUEUES.
# >> See: nautobot.core.settings.RQ_QUEUES
CACHES = {
    "default": {
        "BACKEND": "django_redis.cache.RedisCache",
        "LOCATION": parse_redis_connection(redis_database=0),
        "TIMEOUT": 300,
        "OPTIONS": {
            "CLIENT_CLASS": "django_redis.client.DefaultClient",
        },
    }
}

# RQ_QUEUES is not set here because it just uses the default that gets imported
# up top via `from nautobot.core.settings import *`.

# REDIS CACHEOPS
CACHEOPS_REDIS = parse_redis_connection(redis_database=1)

HIDE_RESTRICTED_UI = os.getenv("HIDE_RESTRICTED_UI", False)

Example #3

File: settings.py Project: matt852/nautobot

        "USE_REDIS_CACHE": "default",
    },
    "custom_fields": {
        "USE_REDIS_CACHE": "default",
    },
    "webhooks": {
        "USE_REDIS_CACHE": "default",
    },
}

#
# Celery (used for background processing)
#

# Celery broker URL used to tell workers where queues are located
CELERY_BROKER_URL = os.getenv("NAUTOBOT_CELERY_BROKER_URL", parse_redis_connection(redis_database=0))

# Celery results backend URL to tell workers where to publish task results
CELERY_RESULT_BACKEND = os.getenv("NAUTOBOT_CELERY_RESULT_BACKEND", parse_redis_connection(redis_database=0))

# Instruct celery to report the started status of a job, instead of just `pending`, `finished`, or `failed`
CELERY_TASK_TRACK_STARTED = True

# Global task time limits (seconds)
# Exceeding the soft limit will result in a SoftTimeLimitExceeded exception,
# while exceeding the hard limit will result in a SIGKILL.
CELERY_TASK_SOFT_TIME_LIMIT = int(os.getenv("NAUTOBOT_CELERY_TASK_SOFT_TIME_LIMIT", 5 * 60))
CELERY_TASK_TIME_LIMIT = int(os.getenv("NAUTOBOT_CELERY_TASK_TIME_LIMIT", 10 * 60))

# These settings define the custom nautobot serialization encoding as an accepted data encoding format
# and register that format for task input and result serialization