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scraping_to_spreadsheet.py
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scraping_to_spreadsheet.py
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import pygsheets
import api_kawal_pemilu
from api import get_city_list, get_district_list, get_tps_list, get_tps_detail,get_village_list, get_kelurahan_detail, get_kecamatan_detail
import time
import json
import os
from datetime import datetime
import pandas as pd
import csv
import sys
import traceback
from dotenv import dotenv_values
dot_env_path = os.path.join(os.path.dirname(__file__), '.env')
config = dotenv_values(dot_env_path)
ENVIRONMENT_MODE = config['MODE_TYPE']
if ENVIRONMENT_MODE != 'production':
print(f"YOUR SHEET ID DEV: {config['SHEET_ID_DEV']}")
print(f"YOUR ENV: {config}")
print(f"YOUR ENVIRONMENT MODE: {ENVIRONMENT_MODE}")
def get_candidate():
candidate_json_file = open('data/candidates.json')
candidate = json.load(candidate_json_file)
return candidate
def get_province_list():
province_file = open('data/province.json')
province_json = json.load(province_file)
return province_json
def create_file(city):
global create_file_time
create_file_time = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
city_name = city['nama']
global result_file
result_file = 'result/result-' + city_name + '-' + create_file_time + '.csv'
if not os.path.exists('result'):
os.makedirs('result')
with open(result_file, 'w') as f:
f.write('ID TPS,KODE TPS,Tanggal Pendataan,Kecamatan,Kelurahan,TPS,Seluruh Paslon,Paslon 01,Paslon 02,Paslon 03,Seluruh Paslon,Paslon 01,Paslon 02,Paslon 03,Link Web KPU,Link Foto C1,Link Kawal Pemilu,Notes Sistem\n')
def create_log_file(city):
global create_kpu_file_time
create_kpu_file_time = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
global create_udrm_file_time
create_udrm_file_time = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
city_name = city['nama']
global log_kpu_file
global log_udrm_file
log_kpu_file = 'result/log-kpu-' + city_name + '-' + create_file_time + '.csv'
log_udrm_file = 'result/log-udrm-' + city_name + '-' + create_file_time + '.csv'
if not os.path.exists('result'):
os.makedirs('result')
with open(log_kpu_file, 'w') as f:
f.write('No,ID UDRM,ID Perubahan,Tanggal Aktivitas,ID TPS,Data Suara 01,Data Suara 02,Data Suara 03,Keterangan\n')
with open(log_udrm_file, 'w') as f:
f.write('No,ID UDRM,Tanggal Aktivitas,Kegiatan\n')
def setup(province):
gc = pygsheets.authorize(service_file='kpu2024-dca0549f3753.json')
if ENVIRONMENT_MODE.lower() == 'production':
province_name = province['nama']
sheet_title = province_name + '-RAKYAT MEMANTAU'
sh = gc.open(sheet_title)
elif ENVIRONMENT_MODE.lower() == 'development':
id_test = config['SHEET_ID_DEV']
sh = gc.open_by_key(id_test)
else:
print('Environment Mode Not Found')
raise Exception('Environment Mode Not Found')
return sh
def loop_city(province):
province_code = province['kode']
list_city = get_city_list(province_code)
for city in list_city:
global count_loop
count_loop = 0
city_name = city['nama']
if is_spreadsheet_exist(province, city_name) == False:
print(f"Spreadsheet for province {province['nama']} and city {city_name} not found")
return
if os.path.exists('result/result-server-7mar24-test'):
get_last_cache = last_cache_city_csv(city_name)
update_spreadsheet(province, city, get_last_cache)
continue
create_file(city)
city_code = city['kode']
list_district = get_district_list(province_code, city_code)
loop_district(list_district, province, city)
data = 'result/result-' + city_name + '-' + create_file_time + '.csv'
update_spreadsheet(province, city, data)
def loop_district(districts, province, city):
province_code = province['kode']
city_code = city['kode']
for district in districts:
district_code = district['kode']
list_village = get_village_list(province_code, city_code, district_code)
loop_village(list_village, province, city, district)
def loop_village(villages, province, city, district):
province_code = province['kode']
city_code = city['kode']
district_code = district['kode']
for village in villages:
village_code = village['kode']
list_tps = get_tps_list(province_code, city_code, district_code, village_code)
loop_tps(list_tps, province, city, district, village)
def loop_tps(list_tps, province, city, district, village):
global count_loop
province_code = province['kode']
city_code = city['kode']
district_code = district['kode']
village_code = village['kode']
try:
data_kawal_pemilu = api_kawal_pemilu.get_detail_village(village_code)
except:
print(f'Error Get Kawal Pemilu Data: {province_code} {city_code} {district_code} {village_code}', traceback.format_exc())
data_kawal_pemilu = None
if list_tps is None:
print(f'Error Get TPS Data: {province_code} {city_code} {district_code} {village_code}')
return
for index, tps in enumerate(list_tps):
identifier = [str(tps['id']) , tps['kode'] , time.strftime('%Y-%m-%d %H:%M:%S') , district['nama'] , village['nama'],tps['nama']]
try:
tps_code = tps['kode']
tps_detail = get_tps_detail(province_code, city_code, district_code, village_code, tps_code)
note_sistem = ''
try:
key_01 = list(candidate.keys())[0]
key_02 = list(candidate.keys())[1]
key_03 = list(candidate.keys())[2]
try:
polling_result = tps_detail['chart']
except:
polling_result = {
key_01: '',
key_02: '',
key_03: '',
}
pas1_kpu = polling_result[key_01]
pas2_kpu = polling_result[key_02]
pas3_kpu = polling_result[key_03]
total_kpu = f'=SUM(J{22 + count_loop}:L{22 + count_loop})'
except:
try:
kelurahan_detail = get_kelurahan_detail(province_code, city_code, district_code, village_code)
kecamatan_detail = get_kecamatan_detail(province_code, city_code, district_code)
table_kelurahan = kelurahan_detail['table']
polling_result = table_kelurahan[tps_code]
polling_result_kecamatan = kecamatan_detail['table'][village_code]
try:
pas1_kpu_kecamatan = polling_result_kecamatan[key_01]
except:
pas1_kpu_kecamatan = None
try:
pas2_kpu_kecamatan = polling_result_kecamatan[key_02]
except:
pas2_kpu_kecamatan = None
try:
pas3_kpu_kecamatan = polling_result_kecamatan[key_03]
except:
pas3_kpu_kecamatan = None
try:
pas1_kpu = polling_result[key_01]
except:
pas1_kpu = ''
try:
pas2_kpu = polling_result[key_02]
except:
pas2_kpu = ''
try:
pas3_kpu = polling_result[key_03]
except:
pas3_kpu = ''
total_pas1_kelurahan = None
total_pas2_kelurahan = None
total_pas3_kelurahan = None
for _, value in table_kelurahan.items():
try:
if total_pas1_kelurahan is None:
total_pas1_kelurahan = value[key_01]
else:
total_pas1_kelurahan += value[key_01]
except:
continue
try:
if total_pas2_kelurahan is None:
total_pas2_kelurahan = value[key_02]
else:
total_pas2_kelurahan += value[key_02]
except:
continue
try:
if total_pas3_kelurahan is None:
total_pas3_kelurahan = value[key_03]
else:
total_pas3_kelurahan += value[key_03]
except:
continue
if pas1_kpu_kecamatan != total_pas1_kelurahan or pas2_kpu_kecamatan != total_pas2_kelurahan or pas3_kpu_kecamatan != total_pas3_kelurahan:
note_sistem = 'Kejanggalan KPU: Data sedang proses, tetapi ada total suara'
total_kpu = f'=SUM(J{22 + count_loop}:L{22 + count_loop})'
print(f'{identifier}\n,{traceback.format_exc()}\n\n')
except:
pas1_kpu = ''
pas2_kpu = ''
pas3_kpu = ''
total_kpu = ''
print(f'{identifier}\n,{traceback.format_exc()}\n\n')
try:
if data_kawal_pemilu is None:
tps_detail_kawal_pemilu_main = {'pas1': '', 'pas2': '', 'pas3': ''}
note_sistem = 'Data Kawal Pemilu Gagal Diambil'
list_tps_detail_kawal_pemilu = []
len_kawal_pemilu = 0
else:
try:
tps_number = int(tps['nama'].split(' ')[1])
except:
tps_number = index + 1
list_tps_detail_kawal_pemilu = data_kawal_pemilu['result']['aggregated'][str(tps_number)]
len_kawal_pemilu = len(list_tps_detail_kawal_pemilu)
tps_detail_kawal_pemilu_main = list_tps_detail_kawal_pemilu[0]
pas1_kawal_pemilu = tps_detail_kawal_pemilu_main['pas1']
pas2_kawal_pemilu = tps_detail_kawal_pemilu_main['pas2']
pas3_kawal_pemilu = tps_detail_kawal_pemilu_main['pas3']
total_kawal_pemilu = f'=SUM(N{22 + count_loop}:P{22 + count_loop})'
totalCompletedTPS = 0
totalJagaTPS = 0
totalErrorTPS = 0
updateTS = 0
if 'totalCompletedTps' in tps_detail_kawal_pemilu_main:
totalCompletedTPS = tps_detail_kawal_pemilu_main['totalCompletedTps']
if 'totalJagaTps' in tps_detail_kawal_pemilu_main:
totalJagaTPS = tps_detail_kawal_pemilu_main['totalJagaTps']
if 'totalErrorTps' in tps_detail_kawal_pemilu_main:
totalErrorTPS = tps_detail_kawal_pemilu_main['totalErrorTps']
if 'updateTs' in tps_detail_kawal_pemilu_main:
updateTS = tps_detail_kawal_pemilu_main['updateTs']
isKawalPemiluExist = pas1_kawal_pemilu != '' and pas2_kawal_pemilu != '' and pas3_kawal_pemilu != ''
isKPUExist = pas1_kpu != '' and pas2_kpu != '' and pas3_kpu != ''
# 1. Data ada, sudah benar dan valid
# KU Nilai Semua Paslon >=0
# TotalCompletedTPS= 1
# TotalJagaTPS = 1
# TotalErrorTPS = 0
# Update TS >0
# Objek list >1
is1Fullfilled = isKawalPemiluExist and totalCompletedTPS >= 1 and totalJagaTPS >= 1 and totalErrorTPS == 0 and updateTS > 0 and len_kawal_pemilu > 1
# 2. Data ada, sudah benar namun ada kejanggalan antara Web KPU dan Kawal Pemilu
# KU Nilai Semua Paslon >=0
# TotalCompletedTPS= 1
# TotalJagaTPS = 1
# TotalErrorTPS >0
# Update TS >0
# Objek list >1
is2Fullfilled = isKawalPemiluExist and totalCompletedTPS >= 1 and totalJagaTPS >= 1 and totalErrorTPS > 0 and updateTS > 0 and len_kawal_pemilu > 1
# 3. Data ada, sudah benar namun belum tentu valid
# KU Nilai Semua Paslon >=0
# TotalCompletedTPS= 1
# TotalJagaTPS = 0
# TotalErrorTPS = 0
# Update TS >0
# Objek list >1
is3Fullfilled = isKawalPemiluExist and totalCompletedTPS >= 1 and totalJagaTPS == 0 and totalErrorTPS == 0 and updateTS > 0 and len_kawal_pemilu > 1
# 4. Data Kawal Pemilu belum Ada = Tidak ada data C1
# KU Nilai Semua Paslon = 0
# TotalCompletedTPS= 0
# TotalJagaTPS = 0
# TotalErrorTPS = 0
# Update TS =0
# Objek list =1
is4Fullfilled = isKawalPemiluExist == False and totalCompletedTPS == 0 and totalJagaTPS == 0 and totalErrorTPS == 0 and updateTS == 0 and len_kawal_pemilu == 1
if is4Fullfilled:
raise Exception('Data Kawal Pemilu Kosong')
# 5. Website Kawal Pemilu Bug, .Foto C1 Gaada, Data pun masih 0, tapi status dibuat terjaga
# Baik data KPU atau data Kawal Pemilu belum ada
# KU Nilai Semua Paslon = 0
# TotalCompletedTPS= 0
# TotalJagaTPS = 1
# TotalErrorTPS = 0
# Update TS > 0
# Objek list =1
is5Fullfilled = isKawalPemiluExist == False and totalCompletedTPS == 0 and totalJagaTPS >= 1 and totalErrorTPS ==0 and updateTS > 0 and len_kawal_pemilu == 1
if is5Fullfilled:
raise Exception('Data Kawal Pemilu Kosong')
# 6. Data kawal pemilu masih 0, padahal c1 nya udah ada
# KU Nilai Semua Paslon >=0
# TotalCompletedTPS= 0
# TotalJagaTPS >= 0
# TotalErrorTPS >= 0
# Update TS >0
# Objek list >1
is6Fullfilled = isKawalPemiluExist and totalCompletedTPS == 0 and totalJagaTPS >= 0 and totalErrorTPS >= 0 and updateTS > 0 and len_kawal_pemilu > 1
# 7. di webiste kawal pemilu sudah ada foto C1, namun di website kawal pemilu belum ada data C1 yang bisa diambil.. jadi harus input manual
# KU Nilai Semua Paslon >=0
# TotalCompletedTPS= 0
# TotalJagaTPS >= 0
# TotalErrorTPS >= 0
# Update TS >0
# Objek list >1
is7Fullfilled = isKawalPemiluExist and totalCompletedTPS == 0 and totalJagaTPS >= 0 and totalErrorTPS >= 0 and updateTS > 0 and len_kawal_pemilu > 1
if is1Fullfilled or is2Fullfilled or is3Fullfilled or is6Fullfilled or is7Fullfilled:
if total_kawal_pemilu == 0:
for i in range(1, len_kawal_pemilu):
pas1_kawal_pemilu = list_tps_detail_kawal_pemilu[i]['pas1']
pas2_kawal_pemilu = list_tps_detail_kawal_pemilu[i]['pas2']
pas3_kawal_pemilu = list_tps_detail_kawal_pemilu[i]['pas3']
total_kawal_pemilu = pas1_kawal_pemilu + pas2_kawal_pemilu + pas3_kawal_pemilu
if total_kawal_pemilu > 0:
break
note_sistem = 'Admin Perlu Mengecek Kesesuaian Data C1'
else:
for i in range(1, len_kawal_pemilu):
pas1_kawal_pemilu_temp = list_tps_detail_kawal_pemilu[i]['pas1']
pas2_kawal_pemilu_temp = list_tps_detail_kawal_pemilu[i]['pas2']
pas3_kawal_pemilu_temp = list_tps_detail_kawal_pemilu[i]['pas3']
if pas1_kawal_pemilu != pas1_kawal_pemilu_temp or pas2_kawal_pemilu != pas2_kawal_pemilu_temp or pas3_kawal_pemilu != pas3_kawal_pemilu_temp:
note_sistem = 'Admin Perlu Mengecek Kesesuaian Data C1'
break
except Exception as e:
pas1_kawal_pemilu = ''
pas2_kawal_pemilu = ''
pas3_kawal_pemilu = ''
total_kawal_pemilu = f'=SUM(N{22 + count_loop}:P{22 + count_loop})'
if (str(e) == 'Data Kawal Pemilu Kosong'):
note_sistem = 'Data C1 Kawal Pemilu Kosong'
if str(e) != 'Data KPU Kosong' and str(e) != 'Data Kawal Pemilu Kosong':
print('error: ' + ', '.join(identifier) + ' ' + str(traceback.format_exc()))
kpu = [str(total_kpu), str(pas1_kpu), str(pas2_kpu), str(pas3_kpu)]
kawal_pemilu = [str(total_kawal_pemilu), str(pas1_kawal_pemilu), str(pas2_kawal_pemilu), str(pas3_kawal_pemilu)]
to_link_kpu = 'https://pemilu2024.kpu.go.id/pilpres/hitung-suara/' + province_code + '/' + city_code + '/' + district_code + '/' + village_code + '/' + tps_code
to_link_kpu = '=HYPERLINK("' + to_link_kpu + '","Link KPU")'
to_link_kawal_pemilu = 'https://kawalpemilu.org/h/' + str(tps_code)
to_link_kawal_pemilu = '=HYPERLINK("' + to_link_kawal_pemilu + '","Link Kawal Pemilu")'
try:
to_link_c1 = tps_detail['images'][1]
to_link_c1 = '=HYPERLINK("' + to_link_c1 + '","Link Foto C1")'
except:
to_link_c1 = ''
link = [to_link_kpu, to_link_c1, to_link_kawal_pemilu]
write_data = identifier + kpu + kawal_pemilu + link + [note_sistem]
with open(result_file, 'a') as f:
writer = csv.writer(f)
writer.writerow(write_data)
except Exception as e:
print('error: ' + ', '.join(identifier) + ' ' + str(e))
continue
count_loop += 1
def update_spreadsheet(province, city, data_csv):
try:
sh = setup(province)
city_name = city['nama']
wks = sh.worksheet_by_title(city_name.upper())
total_tps = wks.get_value("C14")
fisrt_cell = "C22"
last_cell = "T"+str(22+int(total_tps))
existing_data = wks.get_as_df(
start=fisrt_cell,
end=last_cell,
has_header = False,
value_render="FORMULA"
)
work_cell = (22, 3)
scrap_data = pd.read_csv(data_csv, skiprows=1, header=None)
scrap_data.fillna('', inplace=True)
if existing_data.empty:
print('MULAI SET DATA TO SPREADSHEET')
wks.set_dataframe(scrap_data, work_cell, copy_head=False)
return
# UPDATE EXISTING DATA
print('MULAI UPDATE DATA TO SPREADSHEET')
wks_log_kpu = sh.worksheet_by_title("Log Aktivitas KPU")
wks_log_udrm = sh.worksheet_by_title("Log Aktivitas RM")
total_rows_log_kpu = wks_log_kpu.rows
total_rows_log_udrm = wks_log_udrm.rows
last_id_log_kpu = wks_log_kpu.get_value(f"C{total_rows_log_kpu}")
last_id_log_udrm = wks_log_udrm.get_value(f"B{total_rows_log_udrm}")
try:
last_id_log_kpu = int(last_id_log_kpu)
except:
last_id_log_kpu = 0
try:
last_id_log_udrm = int(last_id_log_udrm)
except:
last_id_log_udrm = 0
if type(last_id_log_kpu) != int:
last_id_log_kpu = 0
if type(last_id_log_udrm) != int:
last_id_log_udrm = 0
last_id_log_udrm += 1
create_log_file(city)
for row in range(len(scrap_data)):
change_pas1 = ''
change_pas2 = ''
change_pas3 = ''
is_change_kawal_pemilu = False
for col in range(len(scrap_data.columns)):
is_kpu_col = col == 7 or col == 8 or col == 9
is_kawal_pemilu_col = col == 11 or col == 12 or col == 13
is_skip_col = not (col == 7 or col == 8 or col == 9 or col == 11 or col == 12 or col == 13)
if is_skip_col:
continue
if is_kpu_col:
if scrap_data.iloc[row,col] != existing_data.iloc[row,col]:
if col == 7:
change_pas1 = f'{existing_data.iloc[row,col]}->{scrap_data.iloc[row,col]}'
if col == 8:
change_pas2 = f'{existing_data.iloc[row,col]}->{scrap_data.iloc[row,col]}'
if col == 9:
change_pas3 = f'{existing_data.iloc[row,col]}->{scrap_data.iloc[row,col]}'
# Update the data df_sheet
existing_data.iloc[row,col] = existing_data.iloc[row,col]
if is_kawal_pemilu_col:
if existing_data.iloc[row,col] == '':
existing_data.iloc[row,col] = scrap_data.iloc[row,col]
is_change_kawal_pemilu = True
if change_pas1 != '' or change_pas2 != '' or change_pas3 != '' or is_change_kawal_pemilu:
last_id_log_kpu += 1
id_tps = existing_data.iloc[row,0]
# Update csv Log KPU
with open(log_kpu_file, 'a') as f:
writer = csv.writer(f)
writer.writerow(['',last_id_log_kpu, last_id_log_udrm, datetime.now().strftime('%Y-%m-%d %H:%M:%S'), id_tps, change_pas1, change_pas2, change_pas3, ''])
# Update csv Log UDRM
with open(log_udrm_file, 'a') as f:
writer = csv.writer(f)
writer.writerow(['',last_id_log_udrm, datetime.now().strftime('%Y-%m-%d %H:%M:%S'), f'{city_name} Berhasil Diupdate'])
# SET DATA TO SPREADSHEET
wks.set_dataframe(existing_data, work_cell, copy_head=False)
# SET LOG KPU TO SPREADSHEET
try:
csv_log_kpu = pd.read_csv(log_kpu_file, skiprows=1, header=None)
csv_log_kpu.fillna('', inplace=True)
work_cell_log_kpu = (total_rows_log_kpu+1, 1)
wks_log_kpu.add_rows(len(csv_log_kpu))
wks_log_kpu.set_dataframe(csv_log_kpu, work_cell_log_kpu, copy_head=False)
except pd.errors.EmptyDataError:
print(f'SKIPED LOG KPU {city_name} BECAUSE DATA IS SAME')
# SET LOG UDRM TO SPREADSHEET
csv_log_udrm = pd.read_csv(log_udrm_file, skiprows=1, header=None)
csv_log_udrm.fillna('', inplace=True)
work_cell_log_udrm = (total_rows_log_udrm+1, 1)
wks_log_udrm.add_rows(len(csv_log_udrm))
wks_log_udrm.set_dataframe(csv_log_udrm, work_cell_log_udrm, copy_head=False)
except Exception as e:
print('error update_spreadsheet: ' + str(traceback.format_exc()))
def is_spreadsheet_exist(province, city_name):
try:
sh = setup(province)
wks = sh.worksheet_by_title(city_name.upper())
return True
except:
return False
def process_by_city(province_code, city_code):
global candidate, count_loop
candidate = get_candidate()
count_loop = 0
city = None
for c in get_city_list(province_code):
if c['kode'] == city_code:
city = c
break
province_json = get_province_list()
province = None
for p in province_json:
if p['kode'] == province_code:
province = p
break
city_name = city['nama']
print('Processing By City: ', city_name)
if is_spreadsheet_exist(province, city_name) == False:
print(f"Spreadsheet for province {province['nama']} and city {city_name} not found")
return
if os.path.exists('result/result-server-7mar24-test'):
get_last_cache = last_cache_city_csv(city_name)
update_spreadsheet(province, city, get_last_cache)
return
create_file(city)
list_district = get_district_list(province_code, city_code)
loop_district(list_district, province, city)
try:
data = 'result/result-' + city_name + '-' + create_file_time + '.csv'
update_spreadsheet(province, city, data)
except Exception as e:
print('error update_spreadsheet: ' + str(e))
def process_by_province(province_code):
global candidate, count_loop
candidate = get_candidate()
count_loop = 0
provinces = get_province_list()
province = None
for p in provinces:
if p['kode'] == province_code:
province = p
break
print('Processing By Province: ', province['nama'])
loop_city(province)
def process_all():
global candidate
candidate = get_candidate()
provinces = get_province_list()
for province in provinces:
process_by_province(province['kode'])
def last_cache_city_csv(city_name):
file_location = 'result'
latest_date = None
file_path = None
for root, dirs, files in os.walk(file_location):
for file in files:
if file.endswith('.csv') and 'result-' in file and file.split('-')[1] == city_name:
# result-ACEH BARAT-2024-02-23 22:46:13
# take ACEH BARAT as city name
# take 2024-02-23 22:46:13 as date
year = file.split('-')[2]
month = file.split('-')[3]
day_hour = file.split('-')[4]
date = f'{year}-{month}-{day_hour}'.replace('.csv', '')
date = datetime.strptime(date, '%Y-%m-%d %H:%M:%S')
if latest_date is None:
latest_date = date
file_path = os.path.join(root, file)
if date > latest_date:
latest_date = date
file_path = os.path.join(root, file)
if file_path is not None:
print(f"Found latest cache for {city_name} at {file_path}")
global create_file_time
create_file_time = latest_date.strftime('%Y-%m-%d %H:%M:%S')
return file_path
def ask_input():
print('Choose Process:')
print('1. All')
print('2. By Province')
print('3. By City')
print('00. Exit')
process = input()
if process == '1':
print('Processing All')
process_all()
elif process == '2':
print('Input Province Code:')
province_code = input()
process_by_province(province_code)
elif process == '3':
print('Input Province Code:')
province_code = input()
print('Input City Code:')
city_code = input()
process_by_city(province_code, city_code)
elif process == '00':
print('Exit')
sys.exit()
else:
print('Invalid Input')
ask_input()
if __name__ == '__main__':
# Measure time
start = time.time()
print('Starting at:', datetime.now().strftime('%Y-%m-%d %H:%M:%S'))
# Process
ask_input()
# Measure time
end = time.time()
time_executed_minutes = (end - start) / 60
print('Time Executed:', time_executed_minutes, 'minutes')