gistfile1.txt

import psutil
import simplejson
import time
import urllib2

# Sends the CPU and memory usage stats to Loggly. Sends both a machine total and per process.
def log():
    """"""
    proc_dict = {}

    while True:
        procs = psutil.get_process_list()
        procs = sorted(procs, key=lambda proc: proc.name)

        # log total usage
        total_cpu = psutil.cpu_percent()
        total_mem = psutil.virtual_memory().percent
        data = {"process_name" : "total",
                    "cpu_percent": total_cpu,
                    "mem_percent": total_mem,
                    }
        logData(data)

        # log per-process usage
        for proc in procs:
            try:
                name = proc.name()
                cpu_percent = proc.get_cpu_percent()
                mem_percent = proc.get_memory_percent()
            except:
                # this is a process with no name, so skip it
                # or the process was killed
                continue

            data = {"process_name" : name,
                    "cpu_percent": cpu_percent,
                    "mem_percent": mem_percent,
                    }
            logData(data)

        time.sleep(5)

# send data to Loggly
def logData(data):
    token = "8f9dc5df-a229-45ca-993c-d4a9d7249cce"
    url = "http://logs-01.loggly.com/inputs/%s/tag/python,process_monitor/" % token

    try:
        log_data = simplejson.dumps(data)
        urllib2.urlopen(url, log_data)
    except:
        # if there is a problem just skip it
        return

if __name__ == "__main__":
    log()