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

COPYRIGHT

       2015, Mher Movsisyan