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function.py
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function.py
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from prompt_toolkit.completion import WordCompleter # Autocompletion Engine
from sqlite3 import IntegrityError # SQLite AccNo error
from prompt_toolkit import prompt # Prompt for Autocompletion
from collections import Counter # Most Common Value
from pandas import DataFrame # Printing Tables
from pathlib import Path # OS Independent filepath
from sys import exit
import threading # Multithreading Stuff
import csv # CSV file manipulation
import os # Directory path support
import docx # Docx parsing
import glob # Finding files with extensions
import pdfplumber # PDF parsing
import tabulate # CLI Table Borders
import config as cfg
var = cfg.initVarCommon()
# =========================== [ @VAR_FUNCTIONS ] =========================== #
def loadIfscDataset(csv_file):
"""
Parameter: CSV Dataset from RazorPay
Returns: Dataset Dictionary loaded into memory
dataset[row['IFSC']] = {
'Bank': row['BANK'],
'Branch': row['BRANCH'],
'Centre': row['CENTRE'],
'District': row['DISTRICT'],
'State': row['STATE'],
'Address': row['ADDRESS'],
'City': row['CITY'],
}
"""
dataset = {}
with open(csv_file, mode='r', encoding='utf-8') as file:
reader = csv.DictReader(file)
for row in reader:
dataset[row['IFSC']] = {
'Bank': row['BANK'],
'Branch': row['BRANCH'],
'Centre': row['CENTRE'],
'District': row['DISTRICT'],
'State': row['STATE'],
'Address': row['ADDRESS'],
'City': row['CITY'],
}
return dataset
def updateIfscInVar():
var["ifsc_dataset"] = loadIfscDataset(var["ifsc_dataset_path"])
def getDistrictFromUser():
csv_thread = threading.Thread(target=updateIfscInVar)
csv_thread.start()
# Get district while other thread works
district = getDistrictInput()
# Wait for updateIfscInVar() thread to finish
csv_thread.join()
return district
# ========================= [ @DATABASE_FUNCTIONS ] ========================= #
def writeToDB(conn, district, institution, student_data):
"""
Arguments: (conn, district, institution, student_data)
conn: Connection to database.db using sqlite3.connect()
district: Name of District as String
institution: Institution data from getInstitutionDetails function
student_data: Student data from getStudentDetails function
Returns:
True: if inserted into DB successfully
False: if any errors are encountered
"""
try:
cursor = conn.cursor()
conn.execute("BEGIN TRANSACTION")
# Insert Institution
inst_name = institution["name"]
inst_place = institution["place"]
inst_number = institution["number"]
inst_email = institution["email"]
schoolSQL = """
INSERT INTO Schools (
SchoolName,
District,
Place,
Phone,
Email
)
VALUES ( ?, ?, ?, ?, ?)
"""
values = inst_name, district, inst_place, inst_number, inst_email
cursor.execute(schoolSQL, values)
# Get the auto-incremented SchoolID
school_id = cursor.lastrowid
# Insert Students
studentSQL = """
INSERT INTO Students (
SchoolID,
StudentName,
Class,
IFSC,
AccNo,
AccHolder,
Branch
)
VALUES ( ?, ?, ?, ?, ?, ?, ?)
"""
for _, value in student_data.items():
name = value[0]
standard = value[1]
ifsc = value[2]
acc_no = value[3]
holder = value[4]
branch = value[5]
variables = school_id, name, standard, ifsc, acc_no, holder, branch
cursor.execute(studentSQL, variables)
print("ℹ️ Commiting Changes")
conn.commit()
return True
except IntegrityError as e:
print(f"🔴 IntegrityError: {e}")
conn.rollback()
return False
except Exception as e:
print(f"Error: {e}")
conn.rollback()
return False
def getIndianState():
indian_states = [
"Andhra Pradesh",
"Arunachal Pradesh",
"Assam",
"Bihar",
"Chhattisgarh",
"Goa",
"Gujarat",
"Haryana",
"Himachal Pradesh",
"Jharkhand",
"Jammu and Kashmir",
"Karnataka",
"Kerala",
"Madhya Pradesh",
"Maharashtra",
"Manipur",
"Meghalaya",
"Mizoram",
"Nagaland",
"Odisha",
"Punjab",
"Rajasthan",
"Sikkim",
"Tamil Nadu",
"Telangana",
"Tripura",
"Uttar Pradesh",
"Uttarakhand",
"West Bengal",
"Puducherry"
]
state_completer = WordCompleter(indian_states)
# Prompt for state selection
selected_state = prompt('Enter a state: ', completer=state_completer)
return selected_state
# ========================== [ @PRINT_FUNCTIONS ] ========================== #
def printInstitution(institution):
inst_name = institution["name"]
inst_place = institution["place"]
inst_number = institution["number"]
inst_email = institution["email"]
print(f"{inst_name}\n{inst_place}\n{inst_number}\n{inst_email}")
def printStudentData(student_data):
i = 1
for _, value in student_data.items():
name = value[0]
standard = value[1]
ifsc = value[2]
acc_no = value[3]
holder = value[4]
branch = value[5]
print(f"{i}: {name},{standard},{ifsc},{acc_no},{holder},{branch}")
i += 1
def printStudentDataFrame(student_data):
ifsc_dataset = var["ifsc_dataset"]
student_record = []
for key, val in student_data.items():
ifsc = val[2]
branch = getBranchFromIfsc(ifsc, ifsc_dataset)
# Check IFSC Validity
if branch == "":
ifsc = f"{ifsc}❌"
else:
ifsc = f"{ifsc}✅"
row = [key+1, val[0], val[1], ifsc, val[3], val[4], val[5]]
student_record.append(row)
df = DataFrame(
student_record,
columns=['', 'Name', 'Std', 'IFSC', 'Account No', 'Holder', 'Branch']
)
print(df.to_string(index=False))
# ======================= [ @VERIFICATION_FUNCTION ] ======================= #
def userVerifyStudentData(student_data):
"""
Asks user for confirmation if student standard is valid
else returns n
"""
valid_std = isValidStudentStd(student_data)
if valid_std is True:
verification = input("Correct? (ret / n): ")
if verification == "":
return True
else:
return False
else:
# Moves to investigation_dir for checking
print("⚠️ Cannot convert std to num equivalents :(")
return False
# ======================== [ @PROCESSOR_FUNCTIONS ] ======================== #
def convertStdToNum(data):
"""
Parameter: Student Standard / Class Number
Returns: Numeric Value if String
"""
data = str(data)
data = data.strip().lower()
std_dataset = {
1: [
"1",
"1a",
"1b",
"1c",
"1d",
"1e",
"1 a",
"1 b",
"1 c",
"1 d",
"1 e",
"i",
"1st",
"one",
"first"
],
2: [
"2",
"2a",
"2b",
"2c",
"2d",
"2e",
"2 a",
"2 b",
"2 c",
"2 d",
"2 e",
"ii",
"2nd",
"two",
"second"
],
3: [
"3",
"3a",
"3b",
"3c",
"3d",
"3e",
"3 a",
"3 b",
"3 c",
"3 d",
"3 e",
"iii",
"3rd",
"three",
"third"
],
4: [
"4",
"4a",
"4b",
"4c",
"4d",
"4e",
"4 a",
"4 b",
"4 c",
"4 d",
"4 e",
"iv",
"1v",
"4th",
"four",
"fourth"
],
5: [
"5",
"5a",
"5b",
"5c",
"5d",
"5e",
"5 a",
"5 b",
"5 c",
"5 d",
"5 e",
"v",
"5th",
"five",
"fifth",
],
6: [
"6",
"6a",
"6b",
"6c",
"6d",
"6e",
"6 a",
"6 b",
"6 c",
"6 d",
"6 e",
"vi",
"v1",
"six",
"6th",
"sixth",
],
7: [
"7",
"7a",
"7b",
"7c",
"7d",
"7e",
"7 a",
"7 b",
"7 c",
"7 d",
"7 e",
"vii",
"v11",
"7th",
"seven",
"seventh",
],
8: [
"8",
"8a",
"8b",
"8c",
"8d",
"8e",
"8 a",
"8 b",
"8 c",
"8 d",
"8 e",
"v111",
"viii",
"8th",
"eight",
"eighth",
],
9: [
"9",
"9a",
"9b",
"9c",
"9d",
"9e",
"9 a",
"9 b",
"9 c",
"9 d",
"9 e",
"1x",
"ix",
"9th",
"nine",
"nineth",
],
10: [
"10",
"10a",
"10b",
"10c",
"10d",
"10e",
"10 a",
"10 b",
"10 c",
"10 d",
"10 e",
"x",
"10th",
"ten",
"tenth",
],
11: [
"11",
"x1",
"xi",
"11th",
"plus one",
"plusone",
"+1",
"+1 science",
"+1 commerce",
"+1 humanities",
],
12: [
"12",
"x11",
"xii",
"12th",
"plus two",
"plustwo",
"+2",
"+2 science",
"+2 commerce",
"+2 humanities",
],
13: [
"1 dc",
"1dc",
"i dc",
"idc",
"ist dc",
"1stdc",
"1st dc"
],
14: [
"2 dc",
"2dc",
"ii dc",
"iidc",
"iind dc",
"2nddc",
"2nd dc"
],
15: [
"3 dc",
"3dc",
"iii dc",
"iiidc",
"iiird dc",
"3rddc",
"3rd dc"
],
16: [
"1 pg",
"1pg",
"i pg",
"ipg",
"ist pg",
"1st pg",
"1stpg"
],
17: [
"2 pg",
"2pg",
"ii pg",
"iipg",
"iind pg",
"2ndpg",
"2nd pg"
],
}
if isinstance(data, str):
data = data.lower()
for key, values in std_dataset.items():
for value in values:
if data == value:
data = key
return data
def getBranchFromIfsc(ifsc, ifsc_dataset):
"""
Arguments: (ifsc, ifsc_dataset)
- ifsc_list: IFSC Code
- ifsc_dataset: IFSC Razorpay Dataset from loadIfscDataset()
Returns:
- "": If there exists no record of IFSC in dataset
- branch: If Branch for IFSC is found
"""
branch = ""
if type(ifsc) is str:
ifsc_details = ifsc_dataset.get(ifsc)
if ifsc_details:
branch = ifsc_details["Branch"]
# Clean Up Branch
if "IMPS" in branch:
branch = branch.replace("IMPS", "").strip()
return branch
def normalizeStudentData(student_data):
"""
Parameter:
- student_data: Student data from getStudentDetails()
Returns: A dictionary of tuples with corrected student data
data = {
0: (name, standard, ifsc, acc_no, holder, branch),
1: (name, standard, ifsc, acc_no, holder, branch),
2: (name, standard, ifsc, acc_no, holder, branch)
}
"""
ifsc_dataset = var["ifsc_dataset"]
i = 0
data = {}
for _, value in student_data.items():
name = value[0]
standard = value[1]
ifsc = value[2]
acc_no = value[3]
holder = value[4]
branch = value[5]
# Empty Acc Holder fix
if holder == "":
holder = name
# Normalizing Standard standard to Int variant
standard = convertStdToNum(standard)
# Normalizing Branch from IFSC using RazorPay Dataset
rbi_branch = getBranchFromIfsc(ifsc, ifsc_dataset)
# "," fix and long branch name fix
if rbi_branch and "," not in rbi_branch and len(rbi_branch) < 30:
branch = rbi_branch
# Extracted data
data[i] = name, standard, ifsc, acc_no, holder, branch
i = i + 1
return data
def get_most_common_value(a_list):
"""
Parameters: A List of Values
Returns: The most common value from list
"""
count = Counter(a_list)
mostCommon = count.most_common(1)
return mostCommon[0][0]
def guessDistrictFromIfscList(ifsc_list):
"""
Parameters: (ifsc_list)
Returns: Guessed District as a String
"""
district_list = []
ifsc_dataset = var["ifsc_dataset"]
# Create a list of Districts
for ifsc in ifsc_list:
district = getDistrictFromIfsc(ifsc, ifsc_dataset)
district_list.append(district)
# Finding the most occured District
district = get_most_common_value(district_list)
# If District is Unknown, log data for user to verify
if district == "Unknown":
print("Couldn't decide District :(")
print(f"Guess Data: {district_list}\n")
# If District is unrecognized district, select from most common 3 values
district_dataset = var["district_dataset"]
if district not in district_dataset:
count = Counter(district_list)
mostCommon_list = count.most_common()
for i in mostCommon_list:
if i[0] in district_dataset:
district = i[0]
break
return district
def getDistrictFromIfsc(ifsc, ifsc_dataset):
"""
Parameters: (ifsc_code, ifsc_dataset)
Returns: District as a String
"""
district = "Unknown"
ifsc_info = ifsc_dataset.get(ifsc)
district_list = var["district_dataset"]
if ifsc_info:
# District Finder (Initial Algorithm)
district = ifsc_info["District"]
# Return correct item from district data
for item in district_list:
if item.lower() == district.lower():
district = item
# District Finder v2.0 (New Algorithm)
if district not in district_list:
value_list = []
for value in ifsc_info.values():
value_list.append(value)
district = get_most_common_value(value_list)
# Return correct item from district data
for item in district_list:
if item.lower() == district.lower():
district = item
# District Finder v1.0 (Fallback)
if district not in district_list:
for item in district_list:
address = ifsc_info["Address"]
if item.lower() in address.lower():
district = item
# Return correct item from district data
for item in district_list:
if item.lower() == district.lower():
district = item
return district
def getStudentIfscList(student_data):
"""
Parameter: Student Data from getStudentDetails()
Returns: Iterable List of IFSC code
ifsc = ["ifsc1", "ifsc2", "ifsc3", "ifsc4"]
"""
i = 0
ifsc = []
for _, value in student_data.items():
ifsc.append(value[2])
i += 1
return ifsc
def cleanStudentData(student_data):
"""
Parameter: Student Data from getStudentDetails()
Returns: A dictionary of tuples with cleaned up values for processing
data = {
0: (name, standard, ifsc, acc_no, holder, branch),
1: (name, standard, ifsc, acc_no, holder, branch),
2: (name, standard, ifsc, acc_no, holder, branch)
}
"""
i = 0
data = {}
for _, value in student_data.items():
name = value[0]
standard = value[1]
ifsc = value[2]
acc_no = value[3]
holder = value[4]
branch = value[5]
# Cleaning spaces and newline from data
name = convertParagraphToLine(name)
standard = convertParagraphToLine(standard)
holder = convertParagraphToLine(holder)
branch = convertParagraphToLine(branch)
# Cleaning up important data
acc_no = str(acc_no).strip()
ifsc = str(ifsc).strip()
name = name.strip()
holder = holder.strip()
# Extracted data
data[i] = name, standard, ifsc, acc_no, holder, branch
i = i + 1
return data
def renameFilenameToInstitution(file, institution):
file_path = Path(file)
dir = file_path.parent
extension = file_path.suffix
new_name = institution["name"].replace(".", "").replace(",", "")
new_name = f"{new_name}{extension}"
new_path = dir / new_name
file_path.rename(new_path)
return new_path
# ========================== [ @DIFF_FUNCTIONS ] ========================== #
def checkExistingAccounts(data, cursor):
"""
Parameters:
- data (dict): output of getStudentDetails()
- cursor (sqlite3.Cursor): SQLite database cursor object to execute queries.
Returns:
- bool: True if any account number is found, False otherwise.
"""
acc_nos = [entry[3] for entry in data.values()] # entry[3] is acc_no
query = """
SELECT COUNT(1)
FROM Students
WHERE AccNo IN ({})
""".format(','.join('?' for _ in acc_nos))
cursor.execute(query, acc_nos)
result = cursor.fetchone()[0]
return result > 0
def getExistingAccounts(studentDetails, cursor):
"""
Parameters:
- studentDetails (dict): output of getStudentDetails()
- cursor (sqlite3.Cursor): SQLite database cursor object to execute queries.
Returns:
- list: A list of tuples containing existing accounts.
data = [(db_class, db_name, db_acc, db_ifsc, db_branch)]
"""
acc_nos = [entry[3] for entry in studentDetails.values()] # entry[3] is acc_no
query = """
SELECT Class, StudentName, AccNo, IFSC, Branch
FROM Students
WHERE AccNo IN ({})
""".format(','.join('?' for _ in acc_nos))
cursor.execute(query, acc_nos)
existing_accounts = cursor.fetchall()
data = []
for db_class, db_name, db_acc, db_ifsc, db_branch in existing_accounts:
data.append(
(db_class, db_name, db_acc, db_ifsc, db_branch)
)
return data
def getNonExistingAccounts(studentDetails, existingAccounts):
"""
Parameters:
- studentDetails (dict): output of getStudentDetails()
- existingAccounts (list): output of getExistingAccounts()
Returns:
- list: A list of tuples containing newly recieved students.
data = [(name, standard, ifsc, acc_no, holder, branch)]
"""
existing_acc_nos = {entry[2] for entry in existingAccounts}
non_existing_accounts = []
for student in studentDetails.values():
name = student[0]
standard = student[1]
ifsc = student[2]
acc_no = student[3]
holder = student[4]
branch = student[5]
if acc_no not in existing_acc_nos:
non_existing_accounts.append((name, standard, ifsc, acc_no, holder, branch))
return non_existing_accounts
def identifySchool(existingAccounts, cursor):
"""
Identify the school for the given existing students.
Parameters:
- existingAccounts (list): A list of tuples containing existing accounts.
data = [(db_class, db_name, db_acc, db_ifsc, db_branch)]
- cursor (sqlite3.Cursor): SQLite database cursor object to execute queries.
Returns:
- int or None: SchoolID if all students belong to the same school, None otherwise.
"""
acc_nos = [entry[2] for entry in existingAccounts] # entry[2] is db_acc
query = """
SELECT DISTINCT SchoolID
FROM Students
WHERE AccNo IN ({})
""".format(','.join('?' for _ in acc_nos))
cursor.execute(query, acc_nos)
school_ids = cursor.fetchall()
if len(school_ids) == 1:
return school_ids[0][0]
else:
return None
def findVacancySpots(school_id, cursor):
"""
Find vacancy spots in the given school.
Parameters:
- school_id (int): The ID of the school to check for vacancies.
- cursor (sqlite3.Cursor): SQLite database cursor object to execute queries.
Returns:
- tuple: (school_id, vacancy_list) where vacancy_list is a list of integers representing vacant classes.
"""
if school_id == None:
return None, []
# Lowest class entry available in the school
query = """
SELECT MIN(Class)
FROM Students
WHERE SchoolID = ?
"""
cursor.execute(query, (school_id,))
lowest_class = cursor.fetchone()[0]
if not lowest_class:
return school_id, [] # No students found in the school
# Determine class group range
if 1 <= lowest_class <= 10:
class_group = range(1, lowest_class + 1)
elif 11 <= lowest_class <= 12:
class_group = range(11, lowest_class + 1)
elif 13 <= lowest_class <= 15:
class_group = range(13, lowest_class + 1)
elif 16 <= lowest_class <= 17:
class_group = range(16, lowest_class + 1)
else:
return school_id, []
# Find vacancies
query = """
SELECT DISTINCT Class
FROM Students
WHERE SchoolID = ? AND Class >= ? AND Class <= ?
"""
cursor.execute(query, (school_id, class_group.start, lowest_class))
occupied_classes = {row[0] for row in cursor.fetchall()}
vacancy_list = [cls for cls in class_group if cls not in occupied_classes]
return school_id, vacancy_list
def updateClassVacancies(school_id, vacancies, studentDetails, cursor):
"""
Update class vacancies with new students.
Parameters:
- school_id (int): The ID of the school to update.
- vacancies (list): A list of vacant classes.
- studentDetails (dict): A dictionary of tuples with student details.
data = { n: (name, standard, ifsc, acc_no, holder, branch) }
- cursor (sqlite3.Cursor): SQLite database cursor object to execute queries.
Returns:
- tuple: Tuple of lists of added and remaining students
"""
added_students = []
remaining_students = []
for _, student in studentDetails.items():
name, standard, ifsc, acc_no, holder, branch = student
if standard in vacancies:
query = """
INSERT INTO Students (SchoolID, StudentName, Class, IFSC, AccNo, AccHolder, Branch, Verified)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
"""
cursor.execute(query, (school_id, name, standard, ifsc, acc_no, holder, branch, 'False'))
vacancies.remove(standard)
added_students.append(student)
else:
remaining_students.append(student)
return added_students, remaining_students
def printStudentDataFrame2(student_data):
"""
Parameters:
- student_data (list): List of Student Data
Prints:
- Table showing student data
"""
df = DataFrame(student_data, columns=[
'Name', 'STD', 'IFSC', 'Acc No', 'Holder', 'Branch',
])
print(tabulate.tabulate(df, headers='keys', tablefmt='rounded_outline', showindex=False))
def printExistingAccountsDiff(studentData, existingAccounts):
"""
Parameters:
- existingAccounts (list): Output of getExistingAccounts()
- studentData (dict): Output of getStudentDetails()
Prints:
- Table showing difference between database data and the provided data side by side.
"""
ifsc_dataset = var["ifsc_dataset"]
comparison_list = []
data_by_acc = {entry[3]: entry for entry in studentData.values()}
for db_class, db_name, db_acc, db_ifsc, db_branch in existingAccounts:
if db_acc in data_by_acc:
name = data_by_acc[db_acc][0]
std = data_by_acc[db_acc][1]
ifsc = data_by_acc[db_acc][2]
accno = data_by_acc[db_acc][3]
branch = getBranchFromIfsc(ifsc, ifsc_dataset)
# Check IFSC Validity
if branch == "":
ifsc_check = f"{ifsc} ❌"
else:
ifsc_check = f"{ifsc} ✅"
data_tuple = (
f"{db_name} -> {name}" if db_name != name else name,
f"{db_class} -> {std}" if db_class != std else std,
f"{db_acc} -> {accno}" if db_acc != accno else accno,
f"{db_ifsc} -> {ifsc_check}" if db_ifsc != ifsc else ifsc,