visio.chapril.org-tools/statistiques/parseStats.py
2023-01-04 14:06:09 +01:00

238 lines
8.1 KiB
Python
Executable File

#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# Imports
import os
import sys
import time
import datetime
from calendar import monthrange
import sqlite3
# Constantes
STAT_DIR = '/srv/visio.chapril.org/statistiques/'
STATS_TOT_FIELDS = ['total_conferences_created','total_failed_conferences','total_conferences_completed','total_conference_seconds','total_bytes_received','total_bytes_sent','conferences','videochannels','endpoints_sending_audio', 'total_conference', 'average conferences by day', 'total_conference_time', ]
STATS_FR_TOT_FIELDS = ['conferences creees total','conferences totalement echouees','conferences terminees total','duree totale conferences','total octets reçus','total octets envoyés','nombre de conferences','canaux video','canaux audio', 'Conferences total', 'moyenne de conferences par jour', 'duree totale conferences', ]
STATS_MAX_FIELDS = ['total_participants','largest_conference',]
STATS_FR_MAX_FIELDS = ['plus grand nombre de connexions simultanées','plus grande conference',]
dbPath = '/srv/visio.chapril.org/statistiques/stats_sqlite.db'
dbName = 'jitsi_stats'
# Classes
class Stats:
def __init__(self,year,mois):
self.db = SQLite()
self.year = year
self.mois = mois
self.files = os.listdir(STAT_DIR)
self.startDate = self.EndDate = None
self.consolided = {}
self.consolided_datas = {}
self.__initBounds()
def __initBounds(self):
self.__setStartDate(f'{self.year}-{self.mois}-01 00:00:00')
maxDays = monthrange(self.year,self.mois)[1]
self.__setEndDate(f'{self.year}-{self.mois}-{maxDays} 23:59:59')
def __setStartDate(self,thisDate):
self.startDate = self.__date2timestamp(thisDate)
def getStartDate(self):
if self.startDate is not None:
return self.startDate
else:
return 'undefiined'
def getEndDate(self):
if self.endDate is not None:
return self.endDate
else:
return 'undefiined'
def __setEndDate(self,thisDate):
self.endDate = self.__date2timestamp(thisDate)
def __date2timestamp(self,thisDate):
timestamp = time.mktime(time.strptime(thisDate, '%Y-%m-%d %H:%M:%S'))
return int(timestamp)
def __conv(self,octets,dataType='b'):
if dataType == 'b':
unit = 'octets'
if int(octets) > 1024:
octets = int(octets) / 1024
unit = 'ko'
if int(octets) > 1024:
octets = int(octets) / 1024
unit = 'Mo'
if int(octets) > 1024:
octets = int(octets) / 1024
unit = 'Go'
elif dataType == 't':
unit = 's'
if int(octets) > 60:
unit = 'min'
octets = octets / 60
if int(octets) > 60:
unit = 'h'
octets = octets / 60
octets = int(octets * 10) / 10
return octets,unit
def parse(self):
tot_part_start = tot_part_end = 0
tot_part_start = self.db.dbQuery(f"""SELECT value_field FROM {dbName} WHERE timestamp = {self.startDate} AND key_field = 'total_participants'""")[-1][0]
tot_part_end = self.db.dbQuery(f"""SELECT value_field FROM {dbName} WHERE timestamp < {self.endDate} AND key_field = 'total_participants'""")[-1][0]
tot_part = int(tot_part_end) - int(tot_part_start)
print(tot_part)
res = self.db.dbQuery(f"""SELECT * FROM {dbName} WHERE timestamp > {self.startDate} AND timestamp < {self.endDate} ORDER by id""")
consolided = {}
moy_conf_by_day = 0
for line in res:
field = line[2]
if field in STATS_TOT_FIELDS:
if field in consolided:
if 'total' not in field:
consolided[field] = consolided[field] + int(line[3])
else:
if consolided[field] < int(line[3]):
consolided[field] = int(line[3])
else:
consolided[field] = int(line[3])
if field == 'conferences':
moy_conf_by_day += 1
if field in STATS_MAX_FIELDS:
if field in consolided:
if consolided[field] < int(line[3]):
consolided[field] = int(line[3])
else:
consolided[field] = int(line[3])
consolided['total_participants'] = tot_part
temp_keys = list(consolided.keys())
for k in temp_keys:
if 'bytes' in k:
(v,u) = self.__conv(consolided[k])
consolided[k] = f"{v} {u}"
if 'seconds' in k:
(v,u) = self.__conv(consolided[k],dataType='t')
consolided.pop(k)
n_k = k.replace('_seconds','_time')
consolided[n_k] = f"{v} {u}"
if moy_conf_by_day > 1:
tot = consolided['conferences']
moy_conf_by_day = int(moy_conf_by_day / 12 + 0.5)
moy = int(tot/moy_conf_by_day + 0.5)
consolided.pop('conferences')
consolided['average conferences by day'] = moy
return consolided
class SQLite:
def __init__(self):
if not os.path.isfile(dbPath):
self.__initDb()
def __initDb(self):
self.__openDb()
self.cursor.execute('''create table jitsi_stats(
id integer primary key autoincrement,
timestamp text,
key_field text,
value_field text
)''')
self.conn.commit()
self.__closeDb()
def __openDb(self):
self.conn = sqlite3.connect(dbPath)
self.cursor = self.conn.cursor()
def __closeDb(self):
self.cursor.close()
self.conn.close()
def dbQuery(self,query='SELECT'):
rows = None
while rows is None:
try:
self.__openDb()
self.cursor.execute(query)
rows = self.cursor.fetchall()
self.__closeDb()
except sqlite3.OperationalError:
rows = None
time.sleep(30)
return rows
def dbInsert(self,ts,k,v):
self.__openDb()
self.cursor.execute(f"""INSERT INTO jististats (timestamp,key_field,value_field) VALUES ('{ts}','{k}','{v}')""")
self.conn.commit()
self.__closeDb()
# Fonctions
# Principal
def runMain():
if len(sys.argv) <= 1:
print('Argument manquant: mois')
sys.exit(1)
try:
mois = int(sys.argv[1])
except ValueError:
print('Le mois doit etre un nombre compris entre 1 et 12 !')
sys.exit(1)
if mois < 1 or mois > 12:
print('Le mois doit etre un nombre compris entre 1 et 12 !')
sys.exit(1)
currentDate = datetime.date.today()
if len(sys.argv) >= 3:
year = int(sys.argv[2])
else:
if currentDate.month == 1 and mois == 12:
year = currentDate.year - 1
else:
year = currentDate.year
stats = Stats(year,mois)
res = stats.parse()
for (k,v) in res.items():
if k in STATS_TOT_FIELDS:
i = STATS_TOT_FIELDS.index(k)
fr = STATS_FR_TOT_FIELDS[i]
print(f"{fr}={v}")
elif k in STATS_MAX_FIELDS:
i = STATS_MAX_FIELDS.index(k)
fr = STATS_FR_MAX_FIELDS[i]
print(f"{fr}={v}")
else:
pass
try:
moyenne_part = int(res['total_participants']) / int(res['total_conferences_completed'])
moyenne_part = int((moyenne_part + 0.5) * 10) / 10
print(f"Moyenne participants par conference={moyenne_part}")
except:
pass
if 'total_conference_time' in res:
moyenne_duree = float(res['total_conference_time'].split()[0]) * 60 / int(res['total_conferences_completed'])
moyenne_duree = int((moyenne_duree + 0.5) * 10) / 10
else:
moyenne_duree = 0
print(f"duree moyenne des conferences={moyenne_duree} min")
if __name__ == '__main__':
runMain()
# Fin du programme