#!/usr/bin/env python
"""
  gunicorn_status - A munin plugin for Linux to monitor the memory
  usage of gunicorn processes

  Copyright (C) 2012 Azavea, Inc.
  Author: Andrew Jennings

  Like Munin, this plugin is licensed under the GNU GPL v2 license
  http://www.opensource.org/licenses/GPL-2.0

  If you've put your gunicorn pid somewhere other than the
  default /var/run/gunicorn.pid, you can add a section like
  this to your munin-node's plugin configuration:

  [gunicorn_*]
  env.gunicorn_pid_path [path to your gunicorn pid]

  This plugin supports the following munin configuration parameters:
  #%# family=auto contrib
  #%# capabilities=autoconf

"""

import sys, os, re
from subprocess import check_output

# set path to your gunicorn pid
try:
    GUNICORN_PID_PATH = os.environ['gunicorn_pid_path']
except:
    GUNICORN_PID_PATH = "/var/run/gunicorn.pid"


class GunicornMemoryStatus():
    master_pid = ''
    """
    The Gunicorn master process pid, as a string
    """

    def __init__(self):
        try:
            self._get_master_pid()
        except:
            raise Exception("Couldn't read gunicorn pid information")

    def print_total_memory(self):
        print('total_memory.value %d' % self._get_total_memory())

    def _get_master_pid(self):
        master_pid_file = open(GUNICORN_PID_PATH)
        self.master_pid = master_pid_file.read().rstrip()
        master_pid_file.close()
        return True

    def _get_total_memory(self):
        master = self._get_master_memory()
        total = master +self. _get_worker_memory()
        total_in_mb = total / 1024
        return total_in_mb

    def _get_master_memory(self):
        master = int(check_output(
            ['ps', '--pid', self.master_pid, '-o', 'rss', '--no-headers']))
        return master

    def _get_worker_memory(self):
        worker_processes = check_output(
            ['ps', '--ppid', self.master_pid, '-o', 'rss', '--no-headers'])
        process_memory_usage = [int(rss) for rss in worker_processes.splitlines()]
        worker_memory_usage = sum(process_memory_usage)
        return worker_memory_usage

def print_config():
    instance = None
    name = os.path.basename(sys.argv[0])
    if name != "gunicorn_memory_status":
        for r in ("^gunicorn_(.*?)_memory_status$", "^gunicorn_memory_status_(.*?)$"):
            m = re.match(r, name, re.IGNORECASE)
            if m:
                instance = m.group(1)
                break
    graph_title = "graph_title Gunicorn - Memory Usage"
    if instance:
        graph_title = "%s - %s" % (graph_title, instance)
    print(graph_title)
    print("graph_args --base 1024 -l 0")
    print("graph_vlabel Megabytes")
    print("graph_category appserver")
    print("total_memory.label Total Memory")

if __name__ == "__main__":
    if len(sys.argv) == 2 and sys.argv[1] == 'config':
        print_config()
    elif len(sys.argv) == 2 and sys.argv[1] == 'autoconf':
        try:
            open(GUNICORN_PID_PATH).close()
            print("yes")
        except:
            print("no")
    # Some docs say it'll be called with fetch, some say no arg at all
    elif len(sys.argv) == 1 or (len(sys.argv) == 2 and sys.argv[1] == 'fetch'):
        try:
            status = GunicornMemoryStatus()
            status.print_total_memory()
        except:
            sys.exit("Couldn't retrieve gunicorn memory usage information")