xenial (1) flower.1.gz

Provided by: python-flower_0.8.3+dfsg-1_all bug

NAME
       flower - flower Documentation


SYNOPSIS
       flower [OPTIONS]


DESCRIPTION
       Flower is a web based tool for monitoring and administrating Celery clusters.  It has these features:

       • Real-time monitoring using Celery Events

            • Task progress and history

            • Ability to show task details (arguments, start time, runtime, and more)

            • Graphs and statistics

       • Remote Control

            • View worker status and statistics

            • Shutdown and restart worker instances

            • Control worker pool size and autoscale settings

            • View and modify the queues a worker instance consumes from

            • View currently running tasks

            • View scheduled tasks (ETA/countdown)

            • View reserved and revoked tasks

            • Apply time and rate limits

            • Configuration viewer

            • Revoke or terminate tasks

       • Broker monitoring

            • View statistics for all Celery queues

            • Queue length graphs

       • HTTP API

       • Basic Auth and Google OpenID authentication


OPTIONS
          --address
                 run on the given address

          --auth regexp  of emails to grant access

          --basic_auth
                 colon separated user-password to enable basic auth

          --broker_api
                 inspect broker e.g.  http://guest:guest@localhost:15672/api/

          --certfile
                 path to SSL certificate file

          --db   flower database file (default flower.db)

          --debug
                 run in debug mode (default False)

          --help show this help information

          --inspect
                 inspect workers (default True)

          --inspect_timeout
                 inspect timeout (in milliseconds) (default 1000)

          --keyfile
                 path to SSL key file

          --max_tasks
                 maximum number of tasks to keep in memory (default 10000)

          --persistent
                 enable persistent mode (default False)

          --port run on the given port (default 5555)

          --url_prefix
                 base url prefix

          --xheaders
                 enable support for the 'X-Real-Ip' and 'X-Scheme' headers. (default False)


TORNADO OPTIONS
          --log_file_max_size
                 max size of log files before rollover (default 100000000)

          --log_file_num_backups
                 number of log files to keep (default 10)

          --log_file_prefix=PATH
                 Path  prefix  for  log  files.  Note  that  if  you  are  running  multiple  tornado processes,
                 log_file_prefix must be different for each of them (e.g. include the port number)

          --log_to_stderr
                 Send log output to stderr (colorized if possible). By default use stderr  if  --log_file_prefix
                 is not set and no other logging is configured.

          --logging=debug|info|warning|error|none
                 Set  the  Python  log  level. If none, tornado won't touch the logging configuration.  (default
                 info)


USAGE
       Launch the server and open http://localhost:5555:

          $ flower -A proj --port=5555

       Or, launch from Celery:

          $ celery flower -A proj --address=127.0.0.1 --port=5555

       Broker URL and other configuration options can be passed through the standard Celery options:

          $ celery flower -A proj --broker=amqp://guest:guest@localhost:5672//


AUTHOR
       Mher Movsisyan


       2015, Mher Movsisyan