Ucalgary_Baja/Interview-Backend
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feat(WriteDB): Added file lock, prevented race condition

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HamodiGit 2024-11-23 15:37:20 -07:00
parent b150eee58b
commit bcdaa37d97
1 changed files with 33 additions and 27 deletions
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60
WriteDB.py
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@ -1,10 +1,12 @@
import pandas as pd
import json
from openpyxl import load_workbook
from send_email import send_email
#from send_email import send_email
from filelock import FileLock
# Define the path to the Excel file
# Define the path to the Excel file and the lock file
file_path = "./interview_database.xlsx"
lock_path = "./interview_database.xlsx.lock" # Lock file for synchronization
def ReadDatabase():
"""
@ -18,8 +20,10 @@ def ReadDatabase():
``Contact``: ahmad.ahmad1@ucalgary.ca
"""
# Load the Excel file into a pandas DataFrame with specific columns
df = pd.read_excel(file_path, usecols=['Date', 'Start Time', 'Slot', 'Interviewee Name', 'Interviewee Email', 'Meeting Duration'])
# Use a file-based lock for thread-safe and process-safe access
with FileLock(lock_path):
# Load the Excel file into a pandas DataFrame with specific columns
df = pd.read_excel(file_path, usecols=['Date', 'Start Time', 'Slot', 'Interviewee Name', 'Interviewee Email', 'Meeting Duration'])
# Initialize the dictionary to store structured data for available slots
interview_data = {}
@ -63,37 +67,39 @@ def AppendAppointment(date, start_time, interviewee_name, interviewee_email):
# Check if the requested slot is available in the `available_slots` structure
if date in available_slots and start_time in available_slots[date]:
# Load workbook and select "Sheet1" for updating appointments
workbook = load_workbook(file_path)
sheet = workbook["Sheet1"]
df = pd.read_excel(file_path)
with FileLock(lock_path): # Ensure process-safe access to the file
# Load workbook and select "Sheet1" for updating appointments
workbook = load_workbook(file_path)
sheet = workbook["Sheet1"]
df = pd.read_excel(file_path)
# Find and update the row that matches the provided date and start time
for index, row in df.iterrows():
row_date = str(row['Date']).split(" ")[0]
row_start_time = str(row['Start Time'])
# Find and update the row that matches the provided date and start time
for index, row in df.iterrows():
row_date = str(row['Date']).split(" ")[0]
row_start_time = str(row['Start Time'])
if row_date == date and row_start_time == start_time:
# Current entries for names and emails, and append new data with comma and space
current_names = str(row['Interviewee Name']).strip()
current_emails = str(row['Interviewee Email']).strip()
updated_names = f"{current_names}, {interviewee_name}" if current_names != "nan" else interviewee_name
updated_emails = f"{current_emails}, {interviewee_email}" if current_emails != "nan" else interviewee_email
if row_date == date and row_start_time == start_time:
# Current entries for names and emails, and append new data with comma and space
current_names = str(row['Interviewee Name']).strip()
current_emails = str(row['Interviewee Email']).strip()
updated_names = f"{current_names}, {interviewee_name}" if current_names != "nan" else interviewee_name
updated_emails = f"{current_emails}, {interviewee_email}" if current_emails != "nan" else interviewee_email
# Update the cells with new names and emails
name_cell = sheet.cell(row=index + 2, column=df.columns.get_loc('Interviewee Name') + 1)
email_cell = sheet.cell(row=index + 2, column=df.columns.get_loc('Interviewee Email') + 1)
name_cell.value = updated_names
email_cell.value = updated_emails
# Update the cells with new names and emails
name_cell = sheet.cell(row=index + 2, column=df.columns.get_loc('Interviewee Name') + 1)
email_cell = sheet.cell(row=index + 2, column=df.columns.get_loc('Interviewee Email') + 1)
name_cell.value = updated_names
email_cell.value = updated_emails
workbook.save(file_path)
send_email(interviewee_email, interviewee_name, date, start_time)
return True
workbook.save(file_path)
#send_email(interviewee_email, interviewee_name, date, start_time)
return True
# If no slots available, return that the slot is unavailable
return False
def run_tests():
"""
Executes test cases to verify appointment scheduling and slot availability.