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burst_runner_main.py
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burst_runner_main.py
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#Enter your PC Username here
pc_username = "akifislam"
desktop_folder_name="Incomplete files"
PDF_PATH = f"/Users/{pc_username}/Desktop/{desktop_folder_name}"
# -*- coding: utf-8 -*-
# Task 1 : Detect Graph / Picture and Add to Seperate Temporary Column
UPLOAD_LINK = 'http://moodle.mpower-social.com/converter/pix/images/'
import pdfplumber
import csv
from OOP import correct_answer_parser as ANSWER_SCRAPPER
from OOP.question_text_parser import collectQuestions
from OOP.answer_text_parser import collectOptions
from OOP.answer_table_parser import getAnswerTableLocation
from OOP.beautify_qtable import beautifyQTABLE
from OOP.qus_serial_counter import countSerial
from OOP.beautify_options import beautifyOptions
from OOP.correct_answer_parser import getCOORECTANSWERifExist
# Adding Data
PAGE_NUMBER = 6
SL_COLUMN_A = [] # For SL Input in Excels
QUES_TEXT_COLUMN_B = [] # For Question in Excels
OPTIONS_COLUMN_I_J_K_L = [] # Collecting Options
HAS_ANY_QTABLE= []
HAS_ANY_ANSWER_TABLE = []
ALL_TABLE_DATA = []
ANSWER_TABLE_DATA = []
OPTION_TABLE_DATA = []
CORRECT_MCQ_ANSWERS = []
def clear_IMGCOUNTER():
global IMGCOUNTER
IMGCOUNTER=0
def isExistAnyDiagram(question):
if(str(question).__contains__("diagram") or str(question).__contains__("graph")):
return True
else:
return False
def searchQTABLE(ALL_TABLES,ONLY_ANS_TABLES):
ALL_QTABLES = [item for item in ALL_TABLE_DATA[0] if item not in ANSWER_TABLE_DATA]
# print("\n\nQTABLES are : ",ALL_QTABLES)
return ALL_QTABLES[0]
# def beautifyQTABLE(table):
def getAnswerTableData():
with pdfplumber.open(PDF_PATH) as pdf:
# print(pdf.pages[PAGE_NUMBER].extract_tables())
ALL_TABLE_DATA.append(pdf.pages[PAGE_NUMBER].extract_tables())
# if(len(ALL_TABLE_DATA[0])!=len(OPTIONS_COLUMN_I_J_K_L)):
# # print("Q TABLE FOUND")
# print("For Page " + str(PAGE_NUMBER) + "ALL Table Data : \n " + str(ALL_TABLE_DATA))
# print()
# print()
def NuclearBomb():
SL_COLUMN_A.clear() # For SL Input in Excels
QUES_TEXT_COLUMN_B.clear() # For Question in Excels
OPTIONS_COLUMN_I_J_K_L.clear() # Collecting Options
HAS_ANY_QTABLE.clear()
HAS_ANY_ANSWER_TABLE.clear()
ALL_TABLE_DATA.clear()
ANSWER_TABLE_DATA.clear()
OPTION_TABLE_DATA.clear()
clear_IMGCOUNTER()
# print("Correct Answer List Size : ", len(CORRECT_MCQ_ANSWERS))
# print("Nuclear Called")
# print("Now Count Serial : ",SL_COLUMN_A)
def killDataEntryExpert():
QUES_TEXT_COLUMN_B = collectQuestions(PDF_PATH,PAGE_NUMBER,SL_COLUMN_A)
OPTIONS_COLUMN_I_J_K_L = collectOptions(PDF_PATH,PAGE_NUMBER)
HAS_ANY_ANSWER_TABLE = getAnswerTableLocation(OPTIONS_COLUMN_I_J_K_L)
getAnswerTableData()
#Getting Answer Table Data
for i in range (0,len(ALL_TABLE_DATA[0])):
AB_counter = 0
# print(ALL_TABLE_DATA[0][i]) #First Table
#Now check if it is a option table
for j in range (0,len(ALL_TABLE_DATA[0][i])):
if ('A' in ALL_TABLE_DATA[0][i][j] or 'B' in ALL_TABLE_DATA[0][i][j] or 'C' in ALL_TABLE_DATA[0][i][j] or 'D' in ALL_TABLE_DATA[0][i][j]):
AB_counter+=1
if 'A \nB \nC \nD' in ALL_TABLE_DATA[0][i][j]:
AB_counter=4
if(AB_counter==4):
ANSWER_TABLE_DATA.append(ALL_TABLE_DATA[0][i])
# Getting Question Text for Column B
ans_table_iterator = 0
for i in range (0,len(SL_COLUMN_A)):
cur_seral = SL_COLUMN_A[i];
cur_qus_name = PDF_PATH.split('/')[-1].split('.')[0]
try:
cur_question_text = QUES_TEXT_COLUMN_B[i]
except:
cur_question_text = "Can't Parse"
# print("Because Q_B[i] not exist")
# print(QUES_TEXT_COLUMN_B)
cur_Q_TABLE = ""
cur_ans_row_header_l2 = ""
cur_options = []
cur_ans_col_header_l2 = ""
cur_ans_col_header_l1 = ""
cur_answer_format = ""
# HAS TABLE i mane i-th questioner option e kono TABLE ACHE KINA
try:
if(HAS_ANY_ANSWER_TABLE[i]==True):
# Getting Table Format
cur_answer_format = "With Table"
# Check for L1 Headers
# print("Table : ",ANSWER_TABLE_DATA[ans_table_iterator])
if "A" not in ANSWER_TABLE_DATA[ans_table_iterator][0]:
for item in ANSWER_TABLE_DATA[ans_table_iterator][0]:
if(str(item).isspace() or item=="," or item==None):
continue
cur_ans_col_header_l1+= item + "#"
#Deleting Unnecessary Comma from both side
cur_ans_col_header_l1 = cur_ans_col_header_l1.lstrip(" ").strip(',')
# print("Header Set to : ", cur_ans_col_header_l1)
#Check for L2 Headers
if "A" not in ANSWER_TABLE_DATA[ans_table_iterator][1] and "A \nB \nC \nD" not in ANSWER_TABLE_DATA[ans_table_iterator][1]:
for item in ANSWER_TABLE_DATA[ans_table_iterator][1]:
if (str(item).isspace() or item == "," or item == None):
continue
cur_ans_col_header_l2 += item + "#"
cur_ans_col_header_l2 = cur_ans_col_header_l2.lstrip(" ").lstrip(',')
except:
# print("Couldn't load Answer Table information")
cur_ans_col_header_l2=""
cur_ans_col_header_l1=""
cur_answer_format = "No Table"
# print(ALL_TABLE_DATA)
try:
#Filliing Up Options
# print("HAS ANY TABLE PRINTING",HAS_ANY_ANSWER_TABLE)
if(HAS_ANY_ANSWER_TABLE[i]==True):
# print("Table Found")
for data in ANSWER_TABLE_DATA[ans_table_iterator]:
# print("data: ", data)
if("A" in data or "B" in data or "C" in data or "D" in 'A \nB \nC \nD' in data ):
cur_options.append(data)
# print(data)
ans_table_iterator+=1
else:
# print("This question has no table")
if(len(OPTIONS_COLUMN_I_J_K_L[i])==4):
cur_options = [OPTIONS_COLUMN_I_J_K_L[i][0], OPTIONS_COLUMN_I_J_K_L[i][1], OPTIONS_COLUMN_I_J_K_L[i][2],OPTIONS_COLUMN_I_J_K_L[i][3]]
else:
cur_options = ["Can't Parse", "Can't Parse", "Can't Parse", "Can't Parse"]
except:
print("Couldn't get Options because of TABLE")
# print("ALL TABLE DATA", ALL_TABLE_DATA)
try:
if(len(cur_options)==1):
new_temp_options = []
for item in cur_options[0]:
new_temp_options.append(item.split("\n"))
# print("New : ", new_temp_options)
cur_options = new_temp_options
new_temp_options = []
for ii in range (0,4):
newlist = []
for j in range(0,len(cur_options)):
newlist.append(cur_options[j][ii])
new_temp_options.append(newlist)
cur_options = new_temp_options
except:
print("Couldn't get Options because Options Length not 1")
# print("OPTION SIZE : ", len(cur_options))
# print(cur_options)
temp_QTABLE_data = []
# Deleting Hash from Right Side
cur_ans_col_header_l1 = cur_ans_col_header_l1.rstrip().rstrip('#')
cur_ans_col_header_l2 = cur_ans_col_header_l2.rstrip().rstrip('#')
cur_ans_row_header_l2 = cur_ans_row_header_l2.rstrip().rstrip('#')
if(isExistAnyDiagram(cur_question_text)):
temp_graph_diagram_status = f"{UPLOAD_LINK}/{cur_qus_name}_{cur_seral}.png"
else:
temp_graph_diagram_status = ""
if (len(ALL_TABLE_DATA[0]) - len(ANSWER_TABLE_DATA)) > 0:
temp_QTABLE_data = searchQTABLE(ALL_TABLE_DATA[0], ANSWER_TABLE_DATA)
try:
temp_QTABLE_data = beautifyQTABLE(temp_QTABLE_data)
except:
temp_QTABLE_data = temp_QTABLE_data
# print("QTABLE DATA : ", temp_QTABLE_data)
cur_qus_correct_ans = getCOORECTANSWERifExist(cur_seral,CORRECT_MCQ_ANSWERS)
#Error Handler
if(len(cur_options)==4):
writer.writerow([cur_seral,(str(cur_qus_name)+"_Q"+str(cur_seral)),cur_question_text,temp_QTABLE_data,temp_graph_diagram_status,cur_Q_TABLE,cur_answer_format,cur_ans_col_header_l1,cur_ans_col_header_l2,cur_ans_row_header_l2,beautifyOptions(cur_options[0],HAS_ANY_ANSWER_TABLE[i]),beautifyOptions(cur_options[1],HAS_ANY_ANSWER_TABLE[i]),beautifyOptions(cur_options[2],HAS_ANY_ANSWER_TABLE[i]),beautifyOptions(cur_options[3],HAS_ANY_ANSWER_TABLE[i]),cur_qus_correct_ans])
elif(len(cur_options)==3):
writer.writerow([cur_seral,(str(cur_qus_name)+"_Q"+str(cur_seral)),cur_question_text,temp_QTABLE_data, temp_graph_diagram_status, cur_Q_TABLE,cur_answer_format,cur_ans_col_header_l1,cur_ans_col_header_l2,cur_ans_row_header_l2,beautifyOptions(cur_options[0],HAS_ANY_ANSWER_TABLE[i]),beautifyOptions(cur_options[1],HAS_ANY_ANSWER_TABLE[i]),beautifyOptions(cur_options[2],HAS_ANY_ANSWER_TABLE[i]),"Cant Parse",cur_qus_correct_ans])
elif(len(cur_options)==2):
writer.writerow([cur_seral,(str(cur_qus_name)+"_Q"+str(cur_seral)),cur_question_text,temp_QTABLE_data, temp_graph_diagram_status,cur_Q_TABLE,cur_answer_format,cur_ans_col_header_l1,cur_ans_col_header_l2,cur_ans_row_header_l2,beautifyOptions(cur_options[0],HAS_ANY_ANSWER_TABLE[i]),beautifyOptions(cur_options[1],HAS_ANY_ANSWER_TABLE[i]),"Cant Parse","Cant Parse",cur_qus_correct_ans])
elif(len(cur_options)==1):
writer.writerow([cur_seral,(str(cur_qus_name)+"_Q"+str(cur_seral)),cur_question_text,temp_QTABLE_data,temp_graph_diagram_status, cur_Q_TABLE,cur_answer_format,cur_ans_col_header_l1,cur_ans_col_header_l2,cur_ans_row_header_l2,beautifyOptions(cur_options[0],HAS_ANY_ANSWER_TABLE[i]),"Cant Parse","Cant Parse","Cant Parse",cur_qus_correct_ans])
elif(len(cur_options)==0):
writer.writerow([cur_seral,(str(cur_qus_name)+"_Q"+str(cur_seral)),cur_question_text,temp_QTABLE_data,temp_graph_diagram_status, cur_Q_TABLE,cur_answer_format,cur_ans_col_header_l1,cur_ans_col_header_l2,cur_ans_row_header_l2,"Cant Parse__","Cant Parse__","Cant Parse__","Cant Parse__",cur_qus_correct_ans])
print("Status : SUCCESS")
import glob
path = PDF_PATH
count = 0
for cur_path in glob.glob(path+"/**", recursive = True):
NuclearBomb()
if(str(cur_path.split('/')[-1]).__contains__("qp") and str(cur_path.split('/')[-1]).__contains__("pdf") and str(cur_path)):
newFilePath = (str(cur_path).rstrip(str(cur_path.split('/')[-1]))) #Saving Address
PDF_PATH = cur_path
CSVFILENAME = str(cur_path.split('/')[-4])+"_"+str(cur_path.split('/')[-3])+"_"+str(cur_path.split('/')[-2])+"_"+str(cur_path.split('/')[-1]).rstrip(".pdf")+ "_Complete.csv"
print("Trying to Create CSV on Directory : ",newFilePath)
print("Creating New File :", CSVFILENAME)
print()
with pdfplumber.open(PDF_PATH) as pdf:
newCSVfile = open(newFilePath+CSVFILENAME, 'w')
writer = csv.writer(newCSVfile)
# Adding Header
writer.writerow(
['SL.', 'Question Name*', 'Question Text*', '(TEMP)Any QTABLE?', '(TEMP)Require Screenshot?',
'Question Table <QTABLE>', 'Answer Format*',
'Answer Column header/s Level1*', 'Answer Column header/s Level2', 'Answer Row header/s Level2',
'Option A*', 'Option B*', 'Option C*', 'Option D*', 'Correct Answer*', 'Tags-Topic', 'Tag-Difficulty*',
'Tag-UniqueID*', 'General Feedback', 'Grade(Default =1)', 'Penalty (default = none)',
'Shuffle Answers (default = no)', 'Answer numbering (default = abcd..)'])
QusSerialCounter = 0
totalPage = len(pdf.pages)
print("TOTAL PAGE in this DOC :" ,totalPage)
CORRECT_MCQ_ANSWERS = ANSWER_SCRAPPER.getAnswer(PDF_PATH)
for cur_page in range (1,totalPage):
PAGE_NUMBER = cur_page
SL_COLUMN_A = countSerial(PDF_PATH,PAGE_NUMBER,QusSerialCounter)
QusSerialCounter+=len(SL_COLUMN_A)
killDataEntryExpert()
NuclearBomb()
newCSVfile.close()