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pdfgen.py
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import pdfkit
from bs4 import BeautifulSoup
import re
import io
import sys
reload(sys)
sys.setdefaultencoding('utf8')
def generateDnPdf(file_name, data):
# Soup and PDf Configs
path_wkhtmltopdf = r"C:\Program Files\wkhtmltopdf\bin\wkhtmltopdf.exe"
config = pdfkit.configuration(wkhtmltopdf=path_wkhtmltopdf)
bs = lambda x: BeautifulSoup(x, 'html.parser')
soup = BeautifulSoup(io.open('dn.html'), 'html.parser')
target = soup.find(name='div',attrs={'class': lambda c: c and 'Participant' in c})
replacement = str(data["name"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Date' in c})
replacement = str(data["date"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Tazur-vat' in c})
replacement = str(data["tazur_vat"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Address' in c})
replacement = str(data["address"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Voucher-no' in c})
replacement = str(data["voucher_no"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Broker' in c})
replacement = str(data["broker"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Account-no' in c})
replacement = str(data["account_no"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Customer-id' in c})
replacement = str(data["customer_id"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Customer-vat' in c})
replacement = str(data["customer_vat"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Policy-number' in c})
replacement = str(data["policy_number"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Endorsement-number' in c})
replacement = str(data["endorsement_year"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Policy-type' in c})
replacement = str(data["policy_type"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'From-date' in c})
replacement = str(data["from_date"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'To-date' in c})
replacement = str(data["to_date"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Registration-No' in c})
replacement = str(data["registeration_no"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Vehicle-type' in c})
replacement = str(data["vehicle_type"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Chassis' in c})
replacement = str(data["chassis"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'RSA' in c})
replacement = str(data["rsa"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Total-before-vat' in c})
replacement = str(data["total_before_vat"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Vat-percentage' in c})
replacement = str(data["vat_percentage"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Total-after-vat' in c})
replacement = str(data["total_after_vat"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Total-due' in c})
replacement = str(data["total_due"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Amount-in-words' in c})
replacement = str(data["amount_in_words"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Printed-by' in c})
replacement = str(data["printed_by"])
soup = bs(str(soup).replace(str(target), replacement))
pdfkit.from_string(str(soup), file_name ,configuration=config)
def generateShedPdf(file_name, data):
options = {
'quiet':'',
'page-size':'A4',
'dpi':600,
'disable-smart-shrinking':'',
}
# Soup and PDf Configs
path_wkhtmltopdf = r"C:\Program Files\wkhtmltopdf\bin\wkhtmltopdf.exe"
config = pdfkit.configuration(wkhtmltopdf=path_wkhtmltopdf)
bs = lambda x: BeautifulSoup(x, 'html.parser')
#with io.open('schedule.html', 'r', encoding='utf8') as sched:
# soup = BeautifulSoup(sched, 'html.parser')
soup = BeautifulSoup(io.open('schedule.html', encoding='utf8'), 'html.parser')
#soup = BeautifulSoup(open("schedule.html"), "html.parser", from_encoding = 'utf-8')
target = soup.find(name='div',attrs={'class': lambda c: c and 'Participant' in c})
replacement = str(data["participant"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Participant' in c})
replacement = str(data["participant"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Policy-type' in c})
replacement = str(data["policy_type"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Policy-number' in c})
replacement = str(data["policy_number"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'From-date' in c})
replacement = str(data["from_date"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'To-date' in c})
replacement = str(data["to_date"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Registration-number' in c})
replacement = str(data["registeration_no"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Address' in c})
replacement = str(data["address"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Make-year' in c})
replacement = str(data["make_year"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Chassis' in c})
replacement = str(data["chassis"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Usage' in c})
replacement = str(data["usage"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Make' in c})
replacement = str(data["make"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Model' in c})
replacement = str(data["model"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Excess' in c})
replacement = str(data["excess"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Passengers' in c})
replacement = str(data["passengers"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'SI' in c})
replacement = str(data["si"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Compulsory-deductible' in c})
replacement = str(data["compulsory_deductible"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Additional-conditions' in c})
replacement = str(data["additional_conditions"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Additional-exclusions' in c})
replacement = str(data["additional_exclusions"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Accessories' in c})
replacement = str(data["accessories"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Print-date' in c})
replacement = str(data["print_date"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Additional-cover' in c})
replacement = str(data["additional_cover"])
soup = bs(str(soup).replace(str(target), replacement))
target = soup.find(name='div',attrs={'class': lambda c: c and 'Issue-date' in c})
replacement = str(data["issue_date"])
soup = bs(str(soup).replace(str(target), replacement))
pdfkit.from_string(str(soup), file_name ,configuration=config,options=options)
# data_dn ={
# "name": "Ahmed Alsahlawi",
# "date": "01/01/2020",
# "tazur_vat": "123456678",
# "address": "Test Address",
# "voucher_no": "12341",
# "broker": "Ahmed Broker",
# "account_no": "12212314141414",
# "customer_id": "111",
# "customer_vat": "111123123132131",
# "policy_number": "BAH/MOT/123/19",
# "endorsement_year": "BAH/MOT/123/19/1234",
# "policy_type": "Motor Third party liablility",
# "from_date": "01/01/2020",
# "to_date": "01/01/2020",
# "registeration_no": "13111",
# "vehicle_type": "Sport",
# "chassis": "123FEF123",
# "rsa": "8 days replacment Lamborghini",
# "total_before_vat": "200.000",
# "vat_percentage": "5",
# "total_after_vat": "10.000",
# "total_due": "210.000",
# "amount_in_words": "two hundred and ten dinars only",
# "printed_by": "webadmin"
# }
#data_sched ={
# "participant": "Ahmed Alsahlawi",
# "policy_type": "Motor Third party liablility",
# "policy_number": "BAH/MOT/123/19",
# "from_date": "01/01/2020",
# "to_date": "01/01/2020",
# "registeration_no": "13111",
# "address": "Manama, Bahrain",
# "make_year": "2019",
# "chassis": "123FEF123",
# "usage": "Private",
# "make": "BMW",
# "model": "M6",
# "excess": "100",
# "passengers": "1",
# "si": "18000 BHD",
# "compulsory_deductible": "Nil",
# "additional_conditions": "Nil",
# "additional_exclusions": "Nil",
# "accessories": "Nil",
# "print_date": "19/07/2020",
# "additional_cover": "WR;",
# "issue_date": "19/07/2020"
#}
# generateShedPdf("shed5.pdf",data_sched)
# generateDnPdf("dn6.pdf",data_dn)