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@Safihre
Created March 28, 2018 17:49
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Testing of Sanders files
import glob
import csv
import pprint
###
### BASIC IMPORTING
###
# Fields:
# 0: Server
# 1: IP
# 2: TLSv
# 3: Connection
# 4: Basic-SSL
# 5: Full-fail
fieldnames = ('server', 'ip_check', 'tlsv', 'connect', 'basic_ssl', 'full_ssl')
# All server-info
all_servers_full = {}
all_csvs = glob.glob('newsservers*.csv')
for fname in all_csvs:
# Extract the date
date = fname[-14:-4]
# Read and parse files
with open(fname, 'rb') as csvfile:
csvreader = csv.DictReader(csvfile, fieldnames=fieldnames)
for row in csvreader:
# Skip if we couldn't even connect via SSL
if row['connect'] != "OK":
continue
# New server?
if row['server'] not in all_servers_full:
all_servers_full[row['server']] = {}
# Add the result
all_servers_full[row['server']][date] = row['full_ssl']
###
### FIND CONVERTERS
###
converters = 0
converter_names = []
converter_days = {}
for server in all_servers_full:
was_bad = False
# Need to sort on date to be sure (dict-keys are unsorted)
date_list = sorted(all_servers_full[server], key=lambda d: map(int, d.split('-')))
# Check'em all
for index, date in enumerate(date_list):
# Skip if good from start
if index == 0 and all_servers_full[server][date] == "OK":
break
if all_servers_full[server][date] == "NOK":
# Bad now
was_bad = True
elif was_bad:
# It was bad before, now it's good!
converters += 1
converter_names.append(server)
# And when did they convert?
# We only really care about the month
date_month = date[0:7]
if date_month not in converter_days:
converter_days[date_month] = 0
converter_days[date_month] += 1
break
###
### PRINT FINDINGS
###
print '\nConverted:', converters
print '-----------------------'
print '\n'.join(converter_names)
print '\nConverted in month:'
print '-----------------------'
for date_month in sorted(converter_days, key=lambda d: map(int, d.split('-'))):
print date_month, converter_days[date_month]
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