I'm actually trying to calculate a SLA from a csv file in python 2.7.8. here's an example of my csv file:
2014-09-24 23:57:43;0000B169;20
2014-09-24 23:58:05;00012223;20
2014-09-24 23:58:49;00012200;20
2014-09-24 23:59:33;0000B0EA;21
2014-09-25 00:00:17;000121FF;21
2014-09-25 00:00:39;00012217;21
2014-09-25 00:01:01;00012176;20
2014-09-25 00:01:23;00012175;20
As you can see there are two different days on my CSV file and I want my program to read them and calculate the SLA daily. here's my program:
#V1.1 du programme de Calcul du SLA
import csv
import datetime
with open("/home/maxime/Bureau/Dev/Exports/export2.csv", 'rb') as f: #import the required modules
reader = csv.reader(f, delimiter=';')
count=0 #variable of the date "number"
for row in reader:
if row[0] !="Dispatch date": # we don't want to include the first line of the first column
date = datetime.datetime.strptime (row [0],"%Y-%m-%d %H:%M:%S") #creating the datetime object with the string agrument
if date < datetime.datetime.strptime ("2014-09-26 00:00:00", "%Y-%m-%d %H:%M:%S")and date > datetime.datetime.strptime ("2014-09-25 00:00:00", "%Y-%m-%d %H:%M:%S"): #loop to calcul if the date is correct or not
count = count+1 #increment the date to perform the SLA calcul
result = (count/3927.2)*100 #SLA calcul
print "Le fichier date du", date #
print "Le SLA est de :", result, "%" #Display the SLA and the date of the file
I don't know how to use correctly the "datetime" function in python so could you help me to resolve my problem.
Try to read with the module named "pandas":
import pandas as pd
def importdict(filename):#creates a function to read the csv
#create data frame from csv with pandas module
df=pd.read_csv(filename+'.csv', names=['systemtime', 'Var1', 'var2'],sep=';',parse_dates=[0]) #or:, infer_datetime_format=True)
fileDATES=df.T.to_dict().values()#export the data frame to a python dictionary
return fileDATES #return the dictionary to work with it outside the function
if __name__ == '__main__':
fileDATES = importdict('dates') #start the function with the name of the file
This function returns a dictionary with all the columns and the data such in a format you can work with. I named your csv "dates" in my system. Once the dict is created you can print the info that you want or work with the data.
Hope this can help you, I was in a problem similar to yours a week ago.
I found the Solution of my problem so i'm posting it here.
#V1.2 du calcul de SLA
#Cette version est opérationnelle
import csv #
from datetime import datetime #import the librairies
from collections import defaultdict #
with open('/home/maxime/Bureau/Dev/Exports/export2.csv', 'rb') as fil:
values = defaultdict(int) #create a dict
reader = csv.DictReader(fil, delimiter=';') #read the csv file
for row in reader:
date = datetime.strptime(row['Dispatch date'], '%Y-%m-%d %H:%M:%S') #datetime value in the right date format
values[date.strftime('%Y-%m-%d')] += 1 #increment the date with a step of 1
for date, value in sorted(values.items()):
result = (value/ 3927.2) * 100 #Sla calcul with the theoritic number of line
print 'Le fichier date du %s' % date #SLA display
print 'Le SLA est de : %d%%' % result
If the data for the same day is grouped in the file then you could use itertools.groupby()
, to compute SLA:
#!/usr/bin/env python
import sys
from datetime import datetime
from itertools import groupby
for day, group in groupby(sys.stdin, key=lambda line: line.partition(' ')[0]):
try:
date = datetime.strptime(day, '%Y-%m-%d')
except ValueError:
pass # ignore
else:
count = sum(1 for _ in group)
print('Le fichier date du {date:%Y-%m-%d}'.format(date=date))
print('Le SLA est de {result:.2%}'.format(result=count / 3927.2))
Example:
$ python compute-daily-sla.py < export2.csv
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