diff options
author | Magdalena Grodzińska <mag.grodzinska@gmail.com> | 2019-11-23 19:01:25 +0100 |
---|---|---|
committer | Magdalena Grodzińska <mag.grodzinska@gmail.com> | 2019-11-24 14:03:08 +0100 |
commit | 9f1219d9c7762d72c9b63cf4dae0768bcf7d8d95 (patch) | |
tree | 00e7c4925127a4aac59b83bc9823a8c2cee8a9b1 /src | |
parent | 5b3790688522864fef4d28e03c229527c3b8222e (diff) |
Refactor and fix issues in fetcher Python script
Diffstat (limited to 'src')
-rw-r--r-- | src/main/resources/pl/edu/mimuw/cloudatlas/fetcher/data_fetcher.py | 151 |
1 files changed, 72 insertions, 79 deletions
diff --git a/src/main/resources/pl/edu/mimuw/cloudatlas/fetcher/data_fetcher.py b/src/main/resources/pl/edu/mimuw/cloudatlas/fetcher/data_fetcher.py index d69c498..67b2eb4 100644 --- a/src/main/resources/pl/edu/mimuw/cloudatlas/fetcher/data_fetcher.py +++ b/src/main/resources/pl/edu/mimuw/cloudatlas/fetcher/data_fetcher.py @@ -1,22 +1,21 @@ import json -import subprocess import sys import time - -import schedule import psutil import platform import socket import configparser -# import sqlite3 +import statistics +import urllib.request # Pipe pipe = None # Attribute params -collectionInterval = 1 -averagingPeriod = 1 -averagingMethod = "" +initial_delay = 0 +collection_interval = 1 +averaging_period = 1 +averaging_method = "" """ Attributes @@ -37,31 +36,23 @@ averagingMethod = "" """ -def setup_database(): - conn = sqlite3.connect('attributes.db') - c = conn.cursor() - c.execute('''CREATE TABLE attrib - (timestamp integer, - avg_cpu_load integer, - free_disk integer, - total_disk integer, - free_ram integer, - total_ram integer, - free_swap integer, - total_swap integer, - num_processes integer, - num_cores integer, - kernel_ver text, - logged_users integer, - dns_names text) - ''') - # TODO format dns_names - conn.commit() - conn.close() +def get_avg_load(): + load_percentages = psutil.cpu_percent(interval=averaging_period, percpu=True) + + if averaging_method == "arithmetic": + return statistics.mean(load_percentages) + elif averaging_method == "geometric": + return statistics.geometric_mean(load_percentages) + elif averaging_method == "harmonic": + return statistics.harmonic_mean(load_percentages) + elif averaging_method == "median": + return statistics.median(load_percentages) + else: + raise RuntimeError("Avg CPU load error") def get_data(): - avg_cpu_load = psutil.cpu_percent(interval=1) # TODO better? + avg_load = get_avg_load() free_disk = psutil.disk_usage("/").free total_disk = psutil.disk_usage("/").total free_ram = psutil.virtual_memory().available @@ -70,67 +61,69 @@ def get_data(): total_swap = psutil.swap_memory().total num_processes = len(psutil.pids()) num_cores = psutil.cpu_count(False) - kernel_ver = platform.release() # TODO ew. version() + kernel_ver = platform.release() logged_users = len(psutil.users()) - hostname = socket.gethostbyaddr("127.0.0.1") # TODO czy dziala + external_ip = urllib.request.urlopen('https://ident.me').read().decode('utf8') + hostname = socket.gethostbyaddr(external_ip) dns_names = ([hostname[0]] + hostname[1])[:3] - # https://stackoverflow.com/questions/2575760/python-lookup-hostname-from-ip-with-1-second-timeout sys.stdout.write("[{},{},{},{},{},{},{},{},{},{},{},{}]\n".format( - #print("[{},{},{},{},{},{},{},{},{},{},{},{}]\r\n".format( - avg_cpu_load, - free_disk, - total_disk, - free_ram, - total_ram, - free_swap, - total_swap, - num_processes, - num_cores, - kernel_ver, - logged_users, - json.dumps(dns_names))) #.encode()) # TODO ten string + avg_load, + free_disk, + total_disk, + free_ram, + total_ram, + free_swap, + total_swap, + num_processes, + num_cores, + kernel_ver, + logged_users, + json.dumps(dns_names)) + ) + sys.stdout.flush() - # TODO error control and pipe restart -""" - conn = sqlite3.connect('attributes.db') - c = conn.cursor() - c.execute("INSERT INTO attrib VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ? )", - avg_cpu_load, - free_disk, - total_disk, - free_ram, - total_ram, - free_swap, - total_swap, - num_processes, - num_cores, - kernel_ver, - logged_users, - dns_names.__str__()) # TODO ten string - conn.commit() - conn.close() -""" -# TODO funkcja do usuwania zbendych -def remove_historical_data(): - pass +def check_averaging_method(averaging_method): + averaging_methods = ["arithmetic", "geometric", "harmonic", "mean"] + return averaging_method and averaging_method in averaging_methods -if __name__ == '__main__': - # config = configparser.ConfigParser() - # config.read("config.ini") - collectionInterval = int(5) # int(config["AttributeParams"]["collectionInterval"]) - averagingPeriod = int(5) # int(config["AttributeParams"]["averagingPeriod"]) - averagingMethod = "arithmetic" # config["AttributeParams"]["averagingMethod"] +def read_config(): + global initial_delay + global collection_interval + global averaging_period + global averaging_method + config = configparser.ConfigParser() - # setup_database() + try: + # check if running from source code dir + config.read("config.ini") + except KeyError: + pass + else: + # we assume that it's running as subprocess from Fetcher.java + # we assume working dir to be CloudAtlas root + # because gradle seems to put it this way + config.read("src/main/resources/pl/edu/mimuw/cloudatlas/fetcher/config.ini") - # TODO some condition for this? + initial_delay = int(config["AttributeParams"]["initialDelay"]) + collection_interval = int(config["AttributeParams"]["collectionInterval"]) + averaging_period = int(config["AttributeParams"]["averagingPeriod"]) + averaging_method = config["AttributeParams"]["averagingMethod"] + + if not check_averaging_method(averaging_method): + raise ValueError("Incorrect averaging method") + elif collection_interval < averaging_period: + raise ValueError("Collection interval smaller than averaging period") + + +if __name__ == '__main__': + read_config() + + time.sleep(initial_delay) while True: get_data() - time.sleep(collectionInterval) - - # schedule.every(collectionInterval).seconds.do(get_data) + time.sleep(collection_interval - averaging_period) |