GDPR and missing training reports can now be produced.

This commit is contained in:
Stuart Griffiths 2022-05-31 14:49:26 +01:00
parent c10c851586
commit 57af847546

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@ -1,16 +1,16 @@
#! python3
#Training_Reports.py
#A tool to process Compass Records and produce something human readable
#Licence:
#Licence: GPL-3.0-or-later
#Written by Stuart Griffiths, stuart.griffiths@birminghamscouts.org.uk
#Started 27/03/2022
#Version:0.3
#Version:0.4
#Released:
#Status: Working - outputs to 4 seperate CSV files
#Status: Working
#Inputs: CSV
#Outputs: 4 x CSV
#Outputs: multiple CSV
#Next Steps: generate list of unique entries, upload to Drive?, retrive automatically, send e-mails, working directory selection,
#Issues: View for mandatory learning is missing district and group info, need to cross reference - could solve through membership number filtering
#Issues:
#Background IP: https://automatetheboringstuff.com/, Chapter 16
#Notes - CSV Column Numbers
@ -42,23 +42,9 @@ missing_file = open('missing_training.csv', 'w', newline='')
missing = csv.writer(missing_file)
missing.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])
late_mandatory_file = open('late_mandatory_training.csv', 'w', newline='')
late_mandatory = csv.writer(late_mandatory_file)
late_mandatory.writerow(['Membership Number', 'Known_Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module', 'Due_Date'])
due_mandatory_file = open('due_mandatory_training.csv', 'w', newline='')
due_mandatory = csv.writer(due_mandatory_file)
due_mandatory.writerow(['Membership Number', 'Known_Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module', 'Due_Date'])
getting_started_file = open('getting_started_training.csv', 'w', newline='')
getting_started = csv.writer(getting_started_file)
getting_started.writerow(['Membership Number', 'Known_Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module', 'Role_Start_Date'])
#text files
#missing_training_list = open('_missing_training.txt', 'w')
#late_mandatory_list = open('_late_mandatory_training.txt', 'w')
#due_mandatory_list = open('_due_mandatory_training.txt', 'w')
#getting_started_list = open('_getting_started_training.txt', 'w')
GDPR_file = open('GDPR_training.csv', 'w', newline='')
GDPR = csv.writer(GDPR_file)
GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])
#Modules
@ -86,124 +72,171 @@ def training_report():
if role_training == "":
#If blank, add to list using known_name, surname, email, member_role, group, district, training module
missing.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16]])
#missing_training_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16])
#missing_training_list.write('\n') #adds new line
#3.2 Test 2 - Are there any core modules to renew?
#Read the column
core_training = input_data[line_num][20]
#Check - Is it not blank?
if core_training != "":
#Slice the chracters to get days, months and year (remember starts 0)
dt = datetime.datetime.now() #need to call this to get current date
core_training_year = int(core_training[6:])
core_training_month1 = core_training[3:] #removes first 3 characters
core_training_month = int(core_training_month1[:2]) #removes characters after first 2
core_training_day = int(core_training[:2])
#Check is it late?
#If year is less than year when program is ran, add to list using known_name, surname, email, member_role, group, district, training module
if core_training_year < dt.year:
late_mandatory.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][20]])
#late_mandatory_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16] + ' ' + input_data[line_num][20])
#late_mandatory_list.write('\n') #adds new line
#Else if month is less than month when program is ran, add to list using known_name, surname, email, member_role, group, district, training module
if core_training_month <= dt.month:
late_mandatory.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][20]])
#late_mandatory_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16] + ' ' + input_data[line_num][20])
#late_mandatory_list.write('\n') #adds new line
#Else if year is less than year when program is ran, add to list using known_name, surname, email, member_role, group, district, training module
if core_training_day <= dt.day:
late_mandatory.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][20]])
#late_mandatory_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16] + ' ' + input_data[line_num][20])
#late_mandatory_list.write('\n') #adds new line
#Check - Is it due soon?
#Establish comparative date - set at 6 months
Xmonths_later = str(datetime.datetime.now() + relativedelta(months=+6))
Xmonths_later_year = int(Xmonths_later[:4])
Xmonths_later_month1 = Xmonths_later[5:] #removes first 3 characters
Xmonths_later_month = int(Xmonths_later_month1[:2]) #removes characters after first 2
Xmonths_later_day1 = Xmonths_later[8:]
Xmonths_later_day = int(Xmonths_later_day1[:2])
#If year is less than year when program is ran, add to list using known_name, surname, email, member_role, group, district, training module
if core_training_year < Xmonths_later_year:
due_mandatory.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][20]])
#due_mandatory_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16] + ' ' + input_data[line_num][20])
#due_mandatory_list.write('\n') #adds new line
#Else if month is less than month when program is ran, add to list using known_name, surname, email, member_role, group, district, training module
if core_training_month <= Xmonths_later_month:
due_mandatory.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][20]])
#due_mandatory_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16] + ' ' + input_data[line_num][20])
#due_mandatory_list.write('\n') #adds new line
#Else if year is less than year when program is ran, add to list using known_name, surname, email, member_role, group, district, training module
if core_training_day <= Xmonths_later_day:
due_mandatory.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][20]])
#due_mandatory_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16] + ' ' + input_data[line_num][20])
#due_mandatory_list.write('\n') #adds new line
#3.3 Test 3 - Have Getting Started Modules been completed?
#GDPR, Essential Information, Trustee Introduction, Tools for the Role Section Leaders, Managers and Supporters
#3.2 Test 2 - Missing GDPR?
#GDPR
#Check if Module is one we are interested in
module_name = str(input_data[line_num][16])
if module_name == 'Essential Information':
complete_check = str(input_data[line_num][17])
#Check: is the date blank?
if complete_check == '':
getting_started.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][7]])
#getting_started_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16] + ' ' + input_data[line_num][7])
#getting_started_list.write('\n') #adds new line
if module_name == 'General Data Protection Regulations':
complete_check = str(input_data[line_num][17])
#Check: is the date blank?
if complete_check == '':
getting_started.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][7]])
#getting_started_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16] + ' ' + input_data[line_num][7])
#getting_started_list.write('\n') #adds new line
if module_name == 'Trustee Introduction':
complete_check = str(input_data[line_num][17])
#Check: is the date blank?
if complete_check == '':
getting_started.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][7]])
#getting_started_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16] + ' ' + input_data[line_num][7])
#getting_started_list.write('\n') #adds new line
if module_name == 'Tools for the Role (Managers and Supporters)':
complete_check = str(input_data[line_num][17])
#Check: is the date blank?
if complete_check == '':
getting_started.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][7]])
#getting_started_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16] + ' ' + input_data[line_num][7])
#getting_started_list.write('\n') #adds new line
if module_name == 'Tools for the Role (Section Leaders)':
complete_check = str(input_data[line_num][17])
#Check: is the date blank?
if complete_check == '':
getting_started.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][7]])
#getting_started_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16] + ' ' + input_data[line_num][7])
#getting_started_list.write('\n') #adds new line
#Safety and Safeguarding
module_name = str(input_data[16])
if module_name == 'MOGL: Safeguarding':
complete_check = str(input_data[line_num][20])
#Check: is the date blank?
if complete_check == '':
getting_started.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][7]])
#getting_started_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16] + ' ' + input_data[line_num][7])
#getting_started_list.write('\n') #adds new line
if module_name == 'MOGL: Safety':
complete_check = str(input_data[line_num][20])
#Check: is the date blank?
if complete_check == '':
getting_started.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][7]])
#getting_started_list.write(input_data[line_num][3] + ' ' + input_data[line_num][2]+' '+ input_data[line_num][4] + ' ' + input_data[line_num][5] + ' ' + input_data[line_num][14] + ' ' + input_data[line_num][12] + ' ' + input_data[line_num][16] + ' ' + input_data[line_num][7])
#getting_started_list.write('\n') #adds new line
GDPR.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][7]])
line_num = line_num + 1 #continues the loop
#4: Close files to show they are done
#missing_training_list.close()
#late_mandatory_list.close()
#due_mandatory_list.close()
#getting_started_list.close()
missing_file.close()
late_mandatory_file.close()
due_mandatory_file.close()
getting_started_file.close()
print("Finished!")
GDPR_file.close()
print("Finished Total Reports!")
def districts_reports():
#Runs after missing and soon due training has been listed. Produces district reports
#County
county_late_mandatory_file = open('county_missing_training.csv', 'w', newline='')
county_late_mandatory = csv.writer(county_late_mandatory_file)
county_late_mandatory.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])
county_GDPR_file = open('county_GDPR.csv', 'w', newline='')
county_GDPR = csv.writer(county_GDPR_file)
county_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])
#Districts
CVS_late_mandatory_file = open('CVS_missing_training.csv', 'w', newline='')
CVS_late_mandatory = csv.writer(CVS_late_mandatory_file)
CVS_late_mandatory.writerow(['Membership Number', 'Known_Name', 'Surname', 'E-Mail', 'Telephone', 'Role', 'Line Manager', 'Group', 'District', 'Safety', 'Safeguarding', 'First Aid'])
CVS_GDPR_file = open('CVS_GDPR.csv', 'w', newline='')
CVS_GDPR = csv.writer(CVS_GDPR_file)
CVS_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])
spitfire_late_mandatory_file = open('spitfire_missing_training.csv', 'w', newline='')
spitfire_late_mandatory = csv.writer(spitfire_late_mandatory_file)
spitfire_late_mandatory.writerow(['Membership Number', 'Known_Name', 'Surname', 'E-Mail', 'Telephone', 'Role', 'Line Manager', 'Group', 'District', 'Safety', 'Safeguarding', 'First Aid'])
spitfire_GDPR_file = open('spitfire_GDPR.csv', 'w', newline='')
spitfire_GDPR = csv.writer(spitfire_GDPR_file)
spitfire_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])
SCE_late_mandatory_file = open('SCE_missing_training.csv', 'w', newline='')
SCE_late_mandatory = csv.writer(SCE_late_mandatory_file)
SCE_late_mandatory.writerow(['Membership Number', 'Known_Name', 'Surname', 'E-Mail', 'Telephone', 'Role', 'Line Manager', 'Group', 'District', 'Safety', 'Safeguarding', 'First Aid'])
SCE_GDPR_file = open('SCE_GDPR.csv', 'w', newline='')
SCE_GDPR = csv.writer(SCE_GDPR_file)
SCE_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])
SCW_late_mandatory_file = open('SCW_missing_training.csv', 'w', newline='')
SCW_late_mandatory = csv.writer(SCW_late_mandatory_file)
SCW_late_mandatory.writerow(['Membership Number', 'Known_Name', 'Surname', 'E-Mail', 'Telephone', 'Role', 'Line Manager', 'Group', 'District', 'Safety', 'Safeguarding', 'First Aid'])
SCW_GDPR_file = open('SCW_GDPR.csv', 'w', newline='')
SCW_GDPR = csv.writer(SCW_GDPR_file)
SCW_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])
rea_late_mandatory_file = open('rea_missing_training.csv', 'w', newline='')
rea_late_mandatory = csv.writer(rea_late_mandatory_file)
rea_late_mandatory.writerow(['Membership Number', 'Known_Name', 'Surname', 'E-Mail', 'Telephone', 'Role', 'Line Manager', 'Group', 'District', 'Safety', 'Safeguarding', 'First Aid'])
rea_GDPR_file = open('rea_GDPR.csv', 'w', newline='')
rea_GDPR = csv.writer(rea_GDPR_file)
rea_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])
tame_late_mandatory_file = open('tame_missing_training.csv', 'w', newline='')
tame_late_mandatory = csv.writer(tame_late_mandatory_file)
tame_late_mandatory.writerow(['Membership Number', 'Known_Name', 'Surname', 'E-Mail', 'Telephone', 'Role', 'Line Manager', 'Group', 'District', 'Safety', 'Safeguarding', 'First Aid'])
tame_GDPR_file = open('tame_GDPR.csv', 'w', newline='')
tame_GDPR = csv.writer(tame_GDPR_file)
tame_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])
#6. late reports
#Open the file
file_name = str(Path.cwd()) + '/' + str('missing_training.csv')
input_file = open(file_name) #assumes file is in working directory
#Create a list using the CSV file
input_data_reader = csv.reader(input_file)
input_data = list(input_data_reader)
#6.2 Process the data
#start at row 2 to strip header out
line_num = int(1)
while line_num < (len(input_data)-1): #While there is an entry to handle, do something
#read District info (6)
district = input_data[line_num][6]
if district == '':
#If no district, must be county
county_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
if district == 'Cole Valley South':
CVS_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
if district == 'Birmingham Spitfire District Scout Association':
spitfire_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
if district == 'Sutton Coldfield East':
SCE_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
if district == 'Sutton Coldfield West':
SCW_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
if district == 'Rea Valley':
rea_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
if district == 'Tame Valley Birmingham':
tame_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
line_num = line_num + 1
#7. late reports
#Open the file
file_name = str(Path.cwd()) + '/' + str('GDPR_training.csv')
input_file = open(file_name) #assumes file is in working directory
#Create a list using the CSV file
input_data_reader = csv.reader(input_file)
input_data = list(input_data_reader)
#7.2 Process the data
#start at row 2 to strip header out
line_num = int(1)
while line_num < (len(input_data)-1): #While there is an entry to handle, do something
#read District info (6)
district = input_data[line_num][6]
if district == '':
#If no district, must be county
county_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
if district == 'Cole Valley South':
CVS_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
if district == 'Birmingham Spitfire District Scout Association':
spitfire_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
if district == 'Sutton Coldfield East':
SCE_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
if district == 'Sutton Coldfield West':
SCW_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
if district == 'Rea Valley':
rea_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
if district == 'Tame Valley Birmingham':
tame_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
line_num = line_num + 1 #continues the loop
#8: Close the files
county_late_mandatory_file.close()
county_GDPR_file.close()
CVS_late_mandatory_file.close()
CVS_GDPR_file.close()
spitfire_late_mandatory_file.close()
spitfire_GDPR_file.close()
SCE_late_mandatory_file.close()
SCE_GDPR_file.close()
SCW_late_mandatory_file.close()
SCW_GDPR_file.close()
rea_late_mandatory_file.close()
rea_GDPR_file.close()
tame_late_mandatory_file.close()
tame_GDPR_file.close()
print("District reports finised!")
#Program
training_report()
districts_reports()