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app.py
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app.py
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import inspect
from flask import Flask, redirect, render_template, request, jsonify, session, redirect, url_for, make_response, jsonify, session, request
from reportlab.lib import colors
from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Table, TableStyle, Paragraph
from reportlab.lib.styles import getSampleStyleSheet
from io import BytesIO
from flask_pymongo import PyMongo
from bson.objectid import ObjectId
from passlib.hash import scrypt
from config import Config
import datetime
from bson import ObjectId
import traceback
from decimal import Decimal, ROUND_HALF_UP
import random
import json
from bson import json_util
import time
from urllib.parse import urlparse, urlunsplit
from flask import jsonify
from flask_cors import CORS
import pymongo
from pymongo import MongoClient, WriteConcern, ReadPreference, errors
from pymongo.read_concern import ReadConcern
import math
from datetime import datetime, timedelta, timezone
import logging
logging.basicConfig(level=logging.INFO)
app = Flask(__name__)
app.config.from_object(Config)
CORS(app)
# Setup for original MongoDB
parsed_uri = urlparse(app.config['MONGO_URI'])
db_name = parsed_uri.path.lstrip('/').split('?')[0] or 'mongodbank'
# Reconstruct the URI with the correct database name
normalized_uri = urlunsplit((
parsed_uri.scheme,
parsed_uri.netloc,
f'/{db_name}',
parsed_uri.query,
parsed_uri.fragment
))
app.config['MONGO_URI'] = normalized_uri
mongo = PyMongo(app)
client = MongoClient(app.config['MONGO_URI'])
db = client[db_name]
# Setup for normalized MongoDB
normalized_parsed_uri = urlparse(app.config['MONGO_NORMALIZED_URI'])
normalized_db_name = normalized_parsed_uri.path.lstrip('/').split('?')[0] or 'mongodbank_normalized'
app.config['MONGO_NORMALIZED_URI'] = f"{normalized_parsed_uri.scheme}://{normalized_parsed_uri.netloc}/{normalized_db_name}"
normalized_client = MongoClient(app.config['MONGO_NORMALIZED_URI'])
normalized_db = normalized_client[normalized_db_name]
print(f"Connected to original database: {db_name}")
print(f"Connected to normalized database: {normalized_db_name}")
def round_to_penny(amount):
return Decimal(amount).quantize(Decimal('.01'), rounding=ROUND_HALF_UP)
@app.route('/')
def index():
if 'user_id' in session:
return redirect(url_for('dashboard'))
return render_template('index.html')
@app.route('/login', methods=['POST'])
def login():
username = request.form['username']
password = request.form['password']
user = mongo.db.customers.find_one({'username': username})
if user:
stored_password = user['password']
if scrypt.verify(password, stored_password):
session['user_id'] = str(user['_id'])
return redirect(url_for('dashboard'))
return 'Invalid username or password', 401
@app.route('/logout')
def logout():
session.pop('user_id', None)
return redirect(url_for('index'))
@app.route('/about')
def about():
return render_template('about.html')
@app.route('/dashboard')
def dashboard():
if 'user_id' not in session:
return redirect(url_for('index'))
user_id = session['user_id']
try:
# Calculate total balance
total_balance_cursor = db.accounts.aggregate([
{"$match": {"customer_id": ObjectId(user_id)}},
{"$group": {"_id": None, "total_balance": {"$sum": "$balance"}}}
])
total_balance_result = list(total_balance_cursor)
total_balance = total_balance_result[0]["total_balance"] if total_balance_result else 0
# Calculate recent transactions
recent_transaction_count = db.transactions.count_documents({
"customer_id": ObjectId(user_id),
"timestamp": {"$gte": datetime.now() - timedelta(days=7)}
})
# Calculate pending reviews
pending_review_count = db.transactions.count_documents({
"customer_id": ObjectId(user_id),
"review_status": {"$exists": False},
"fraud_flags": {"$exists": True, "$ne": []}
})
# Calculate alerts
alert_count = db.alerts.count_documents({"customer_id": ObjectId(user_id)})
user = db.customers.find_one({"_id": ObjectId(user_id)})
accounts = list(db.accounts.find({"customer_id": ObjectId(user_id)}))
return render_template('dashboard.html', user=user, accounts=accounts,
total_balance=total_balance,
recent_transaction_count=recent_transaction_count,
pending_review_count=pending_review_count,
alert_count=alert_count)
except Exception as e:
logging.error(f"Error fetching dashboard metrics: {e}")
return jsonify({'error': 'An error occurred while fetching dashboard metrics.'}), 500
@app.route('/api/accounts/<account_id>', methods=['GET'])
def get_account(account_id):
account = db.accounts.find_one({"_id": ObjectId(account_id)})
if account:
account['_id'] = str(account['_id'])
return jsonify({
'account_type': account.get('account_type'),
'balance': account.get('balance')
})
else:
return jsonify({'error': 'Account not found'}), 404
@app.route('/api/transaction/<transaction_id>', methods=['GET'])
def get_transaction(transaction_id):
transaction = db.transactions.find_one({"_id": ObjectId(transaction_id)})
if transaction:
transaction['_id'] = str(transaction['_id'])
return jsonify({
'account_type': transaction.get('type'),
'amount': transaction.get('amount'),
'from_account': transaction.get('from_account'),
'to_account': transaction.get('to_account'),
'amount': transaction.get('amount'),
'fraud': transaction.get('fraud_flags', [])
})
else:
return jsonify({'error': 'Account not found'}), 404
from bson import ObjectId
from bson.json_util import dumps
import json
@app.route('/api/transactions', methods=['GET'])
def get_transactions():
try:
if 'user_id' not in session:
return jsonify({'error': 'Unauthorized'}), 401
account_id = request.args.get('account_id')
page = int(request.args.get('page', 1))
limit = int(request.args.get('limit', 6))
skip = (page - 1) * limit
user_id = ObjectId(session['user_id'])
# If no account_id is provided, fetch transactions for all user's accounts
if not account_id:
user_accounts = list(mongo.db.accounts.find({'customer_id': user_id}))
account_ids = [account['_id'] for account in user_accounts]
query = {'account_id': {'$in': account_ids}}
else:
account_object_id = ObjectId(account_id)
query = {'account_id': account_object_id}
app.logger.info(f"Fetching transactions with query: {query}")
transactions = list(mongo.db.transactions.find(query)
.sort('timestamp', pymongo.DESCENDING)
.skip(skip)
.limit(limit))
app.logger.info(f"Found {len(transactions)} transactions")
serialized_transactions = []
for transaction in transactions:
serialized_transaction = {
'_id': str(transaction['_id']),
'account_id': str(transaction['account_id']),
'type': transaction['type'],
'amount': transaction['amount'],
'timestamp': transaction['timestamp'].isoformat() if isinstance(transaction['timestamp'], datetime) else transaction['timestamp'],
'fraud_flags': transaction.get('fraud_flags', [])
}
if 'from_account' in transaction:
serialized_transaction['from_account'] = str(transaction['from_account'])
from_account = mongo.db.accounts.find_one({"_id": ObjectId(transaction['from_account'])})
if from_account:
serialized_transaction['from_account_name'] = from_account['account_type']
if 'to_account' in transaction:
serialized_transaction['to_account'] = str(transaction['to_account'])
to_account = mongo.db.accounts.find_one({"_id": ObjectId(transaction['to_account'])})
if to_account:
serialized_transaction['to_account_name'] = to_account['account_type']
serialized_transactions.append(serialized_transaction)
total_transactions = mongo.db.transactions.count_documents(query)
total_pages = (total_transactions + limit - 1) // limit
response_data = {
'transactions': serialized_transactions,
'page': page,
'total_pages': total_pages
}
app.logger.info(f"Returning response: {response_data}")
return jsonify(response_data)
except Exception as e:
app.logger.error(f"Error in get_transactions: {str(e)}")
app.logger.error(traceback.format_exc())
return jsonify({'error': 'An error occurred while retrieving transactions'}), 500
@app.route('/api/transaction', methods=['POST'])
def create_transaction():
# Ensure the session is being accessed correctly
if 'user_id' not in session:
return jsonify({'error': 'Unauthorized'}), 401
data = request.json
account_id = data.get('account_id')
amount = data.get('amount')
fraud_check = data.get('fraud_check')
location = data.get('location')
account = db.accounts.find_one({'_id': ObjectId(account_id), 'customer_id': ObjectId(session['user_id'])})
if not account:
return jsonify({'error': 'Account not found'}), 404
amount = float(data['amount'])
if data['type'] == 'withdrawal' and account['balance'] < amount:
return jsonify({'error': 'Insufficient funds'}), 400
new_balance = account['balance'] + amount if data['type'] == 'deposit' else account['balance'] - amount
timestamp = datetime.now(timezone.utc) # Correctly getting the current UTC time
# Initialize fraud flags
fraud_flags = []
# Velocity Check
if fraud_check == 'velocity':
velocity_count = db.transactions.count_documents({
'account_id': ObjectId(account_id),
'timestamp': {'$gte': timestamp - timedelta(hours=1)}
})
if velocity_count > 10: # Example threshold
fraud_flags.append('velocity')
# Insert an alert for velocity check
alert = {
"customer_id": ObjectId(session['user_id']),
"account_id": ObjectId(account_id),
"alert_type": "velocity_check",
"message": f"Velocity check triggered: {velocity_count} transactions in the last hour.",
"timestamp": datetime.now(timezone.utc),
"resolved": False
}
db.alerts.insert_one(alert)
# Location Check
if fraud_check == 'location' and location:
previous_transaction = db.transactions.find_one(
{'account_id': ObjectId(account_id)},
sort=[('timestamp', -1)]
)
if previous_transaction and previous_transaction.get('location'):
prev_location = previous_transaction['location']
if calculate_distance(location, prev_location) > 1000: # Example threshold in km
fraud_flags.append('location')
# Insert an alert for location check
alert = {
"customer_id": ObjectId(session['user_id']),
"account_id": ObjectId(account_id),
"alert_type": "location_check",
"message": f"Location check triggered: Distance from last transaction is over 1000 km.",
"timestamp": datetime.now(timezone.utc),
"resolved": False
}
db.alerts.insert_one(alert)
# Create the transaction document
transaction = {
'account_id': ObjectId(account_id),
'amount': amount,
'type': data['type'],
'timestamp': timestamp.isoformat(),
'location': location,
'fraud_flags': fraud_flags,
}
db.transactions.insert_one(transaction)
db.accounts.update_one({'_id': ObjectId(account_id)}, {'$set': {'balance': new_balance}})
return jsonify({'success': True, 'new_balance': new_balance, 'fraud_flags': fraud_flags})
@app.route('/fraud_simulation_dashboard')
def fraud_simulation_dashboard():
if 'user_id' not in session:
return redirect(url_for('index'))
user_id = session['user_id']
accounts = list(mongo.db.accounts.find({'customer_id': ObjectId(user_id)}))
# Debugging
print("Accounts:", accounts) # Check what is being passed to the template
return render_template('fraud_simulation_dashboard.html', accounts=accounts)
@app.route('/get_code/<endpoint>', methods=['GET'])
def get_code(endpoint):
code_snippets = {
'login': {
'title': 'Login Route',
'code': inspect.getsource(login),
'description': 'This route handles user authentication. It checks the provided username and password against the stored values in the database and creates a session upon successful login.',
'docs_link': 'https://docs.mongodb.com/manual/reference/method/db.collection.findOne/' # Example link
},
'velocity_check': {
'title': 'Velocity Check Logic',
'code': '''
# Velocity Check Logic
velocity_count = db.transactions.count_documents({
'account_id': ObjectId(account_id),
'timestamp': {'$gte': timestamp - datetime.timedelta(hours=1)}
})
if velocity_count > 10: # Example threshold
fraud_flags.append('velocity')
'''
},
'location_check': {
'title': 'Location Check Logic',
'code': '''
# Location Check Logic
previous_transaction = db.transactions.find_one(
{'account_id': ObjectId(account_id)},
sort=[('timestamp', -1)]
)
if previous_transaction and location:
prev_location = previous_transaction.get('location')
if prev_location and calculate_distance(location, prev_location) > 1000:
fraud_flags.append('location')
'''
},
'get_transactions': {
'title': 'Get Transactions Route',
'code': inspect.getsource(get_transactions),
'description': 'This route retrieves the latest transactions for a specific account. It uses MongoDB’s `find` method to query transactions and sort them by timestamp.',
'docs_link': 'https://docs.mongodb.com/manual/reference/method/db.collection.find/' # Example link
},
'create_transaction': {
'title': 'Create Transaction Route',
'code': inspect.getsource(create_transaction),
'description': 'This route creates a new transaction and updates the account balance. It performs a deposit or withdrawal based on the request type and ensures atomicity using MongoDB’s ACID transaction capabilities.',
'docs_link': 'https://docs.mongodb.com/manual/core/transactions/' # Example link
},
'branch_locator': {
'title': 'Branch & ATM Locator Logic',
'code': inspect.getsource(get_branches), # assuming branch_locator is a defined function
'description': 'This code powers the branch and ATM locator functionality, retrieving nearby branches and ATMs based on user location.',
'docs_link': 'https://docs.mongodb.com/' # Replace with relevant documentation
},
'transfer': {
'title': 'Transfer Route',
'code': inspect.getsource(transfer),
'description': 'This route handles transferring funds between accounts. It ensures both the debit from the source account and the credit to the destination account are performed atomically using a MongoDB transaction.',
'docs_link': 'https://docs.mongodb.com/manual/core/transactions/' # Example link
},
'data_model': {
'title': 'Data Model',
'code': '''
# Customer Document
{
"_id": ObjectId("..."),
"username": "johndoe",
"password": "hashed_password",
"email": "johndoe@example.com",
"created_at": ISODate("2023-08-28T12:00:00Z")
}
# Account Document
{
"_id": ObjectId("..."),
"customer_id": ObjectId("..."),
"account_type": "Checking",
"balance": 1000.00,
"created_at": ISODate("2023-08-28T12:00:00Z"),
"branch_id": ObjectId("...")
}
# Transaction Document
{
"_id": ObjectId("..."),
"account_id": ObjectId("..."),
"type": "deposit",
"amount": 500.00,
"timestamp": ISODate("2023-08-28T12:00:00Z"),
"from_account": ObjectId("..."), # Optional, for transfers
"to_account": ObjectId("..."), # Optional, for transfers
"fraud_flags": ["velocity", "location"] # Optional
}
# Branch Document
{
"_id": ObjectId("..."),
"name": "Downtown Branch",
"address": {
"street": "123 Main St",
"city": "Anytown",
"state": "ST",
"zip_code": "12345",
"country": "USA"
},
"phone_number": "555-1234",
"email": "downtown@bank.com",
"manager": "Jane Doe",
"services": ["Loans", "Deposits", "Wealth Management"],
"hours": {
"monday": {"open": "09:00", "close": "17:00"},
"tuesday": {"open": "09:00", "close": "17:00"},
# ... other days ...
},
"location": {
"type": "Point",
"coordinates": [-73.98, 40.73] # [longitude, latitude]
}
}
# ATM Document
{
"_id": ObjectId("..."),
"branch_id": ObjectId("..."),
"location": {
"type": "Point",
"coordinates": [-73.98, 40.73] # [longitude, latitude]
},
"address": {
"street": "456 Side St",
"city": "Anytown",
"state": "ST",
"zip_code": "12345",
"country": "USA"
},
"type": "Walk-up",
"features": ["Cash Withdrawal", "Deposit", "Check Cashing"],
"accessibility": true,
"status": "Operational"
}
# Alert Document
{
"_id": ObjectId("..."),
"customer_id": ObjectId("..."),
"account_id": ObjectId("..."),
"transaction_id": ObjectId("..."),
"type": "Potential Fraud",
"message": "Suspicious activity detected: velocity check triggered",
"timestamp": ISODate("2023-08-28T12:00:00Z"),
"resolved": false
}
''',
'description': 'This represents the comprehensive data model for the application, defining the structure of customer, account, transaction, branch, ATM, and alert documents.',
'docs_link': 'https://www.mongodb.com/docs/manual/data-modeling/'
},
'velocity_check': {
'title': 'Velocity Check Logic',
'code': '''
# Velocity Check Logic
velocity_count = db.transactions.count_documents({
'account_id': ObjectId(account_id),
'timestamp': {'$gte': timestamp - datetime.timedelta(hours=1)}
})
if velocity_count > 10: # Example threshold
fraud_flags.append('velocity')
''',
'description': 'This logic checks the number of transactions within the past hour. If the count exceeds a predefined threshold, the transaction is flagged as potentially fraudulent.',
'docs_link': 'https://www.mongodb.com/docs/manual/reference/method/db.collection.countDocuments/'
},
'location_check': {
'title': 'Location Check Logic',
'code': '''
# Location Check Logic
previous_transaction = db.transactions.find_one(
{'account_id': ObjectId(account_id)},
sort=[('timestamp', -1)]
)
if previous_transaction and location:
prev_location = previous_transaction.get('location')
if prev_location and calculate_distance(location, prev_location) > 1000: # Example threshold in km
fraud_flags.append('location')
''',
'description': 'This logic compares the current transaction location with the previous transaction location. If the distance exceeds a certain threshold, the transaction is flagged as potentially fraudulent.',
'docs_link': 'https://www.mongodb.com/docs/manual/reference/method/db.collection.findOne/'
}
}
if endpoint in code_snippets:
return jsonify(code_snippets[endpoint])
else:
return jsonify({'title': 'Not Found', 'code': 'Code not available'}), 404
@app.route('/transfer', methods=['POST'])
def transfer():
source_account_id = request.json['source_account_id']
destination_account_id = request.json['destination_account_id']
amount = float(request.json['amount'])
simulate_failure = request.json.get('simulate_failure', False) # Get the simulate failure flag
logging.info(f"Starting transfer from {source_account_id} to {destination_account_id} amount: {amount}")
try:
with client.start_session() as session:
with session.start_transaction():
# Simulate a failure if the checkbox was checked
if simulate_failure:
raise Exception("Simulated failure for demonstration purposes")
# Step 1: Debit from source account
logging.info("Attempting to debit source account")
source_account = db.accounts.find_one_and_update(
{"_id": ObjectId(source_account_id), "balance": {"$gte": amount}},
{"$inc": {"balance": -amount}},
session=session,
return_document=True
)
if not source_account:
logging.error("Insufficient funds in source account")
raise errors.OperationFailure("Insufficient funds in source account")
# Step 2: Credit to destination account
logging.info("Attempting to credit destination account")
destination_account = db.accounts.find_one_and_update(
{"_id": ObjectId(destination_account_id)},
{"$inc": {"balance": amount}},
session=session,
return_document=True
)
if not destination_account:
logging.error("Destination account not found")
raise errors.OperationFailure("Destination account not found")
# Step 3: Record transaction in the source account
logging.info("Recording transaction in the source account")
source_transaction = {
"account_id": ObjectId(source_account_id),
"amount": -amount,
"type": "transfer_out",
"timestamp": datetime.now(timezone.utc).isoformat(),
"from_account": ObjectId(source_account_id),
"to_account": ObjectId(destination_account_id)
}
db.transactions.insert_one(source_transaction, session=session)
# Step 4: Record transaction in the destination account
logging.info("Recording transaction in the destination account")
destination_transaction = {
"account_id": ObjectId(destination_account_id),
"amount": amount,
"type": "transfer_in",
"timestamp": datetime.now(timezone.utc).isoformat(),
"from_account": ObjectId(source_account_id),
"to_account": ObjectId(destination_account_id)
}
db.transactions.insert_one(destination_transaction, session=session)
logging.info("Transfer successful")
return jsonify({"status": "Transfer successful"}), 200
except errors.OperationFailure as e:
logging.error(f"OperationFailure: {e}")
return jsonify({"error": str(e)}), 400
except Exception as e:
logging.error(f"General Exception: {e}")
return jsonify({"error": "An error occurred during the transaction"}), 500
def calculate_distance(location1, location2):
"""
Calculate the great-circle distance between two points
on the Earth's surface specified by their latitude and longitude.
Parameters:
location1 (dict): Dictionary containing 'latitude' and 'longitude' for the first location.
location2 (dict): Dictionary containing 'latitude' and 'longitude' for the second location.
Returns:
float: Distance between the two points in kilometers.
"""
# Convert latitude and longitude from degrees to radians
lat1, lon1 = math.radians(location1['latitude']), math.radians(location1['longitude'])
lat2, lon2 = math.radians(location2['latitude']), math.radians(location2['longitude'])
# Haversine formula
dlat = lat2 - lat1
dlon = lon2 - lon1
a = math.sin(dlat / 2)**2 + math.cos(lat1) * math.cos(lat2) * math.sin(dlon / 2)**2
c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
# Radius of the Earth in kilometers (mean radius)
R = 6371.01
# Calculate the distance
distance = R * c
return distance
from bson import ObjectId
from bson.json_util import dumps
import json
from bson import ObjectId
from bson.json_util import dumps
import json
from datetime import datetime, timezone, timedelta
@app.route('/api/statement', methods=['GET'])
def generate_statement():
if 'user_id' not in session:
return jsonify({'error': 'Unauthorized'}), 401
account_id = request.args.get('account_id')
start_date = request.args.get('start_date')
end_date = request.args.get('end_date')
# Convert start and end dates to UTC timezone-aware datetimes
start_datetime = datetime.fromisoformat(f"{start_date}T00:00:00").replace(tzinfo=timezone.utc)
end_datetime = datetime.fromisoformat(f"{end_date}T23:59:59").replace(tzinfo=timezone.utc)
try:
account_object_id = ObjectId(account_id)
account = mongo.db.accounts.find_one({'_id': account_object_id, 'customer_id': ObjectId(session['user_id'])})
if not account:
logging.error(f"Account not found for account_id: {account_id}")
return jsonify({'error': 'Account not found'}), 404
logging.info(f"Fetching transactions for account_id: {account_id} from {start_datetime} to {end_datetime}")
# More flexible date query
query = {
'account_id': account_object_id,
'$or': [
{'timestamp': {'$gte': start_datetime, '$lte': end_datetime}},
{'timestamp': {'$gte': start_datetime.isoformat(), '$lte': end_datetime.isoformat()}},
]
}
transactions = list(mongo.db.transactions.find(query).sort('timestamp', pymongo.DESCENDING))
logging.info(f"Found {len(transactions)} transactions")
# Log a sample transaction if available
if transactions:
logging.info(f"Sample transaction: {transactions[0]}")
else:
logging.info("No transactions found. Checking for any transactions in the collection.")
sample_transaction = mongo.db.transactions.find_one()
if sample_transaction:
logging.info(f"Sample transaction from collection: {sample_transaction}")
else:
logging.info("No transactions found in the collection at all.")
# Prepare the statement data
statement = {
'account_type': account.get('account_type'),
'balance': account.get('balance'),
'transactions': transactions,
'start_date': start_date,
'end_date': end_date,
}
# Use json_util to handle MongoDB-specific types
json_statement = json.loads(dumps(statement))
# Further process the transactions if needed
for transaction in json_statement['transactions']:
if 'timestamp' in transaction:
if isinstance(transaction['timestamp'], dict) and '$date' in transaction['timestamp']:
transaction['timestamp'] = datetime.fromisoformat(transaction['timestamp']['$date']).isoformat()
elif isinstance(transaction['timestamp'], str):
# If it's already a string, we'll assume it's in ISO format
pass
else:
logging.warning(f"Unexpected timestamp format: {transaction['timestamp']}")
return jsonify(json_statement), 200
except Exception as e:
logging.error(f"Error generating statement: {e}")
return jsonify({'error': 'An error occurred while generating the statement'}), 500
@app.route('/api/generate_pdf_statement', methods=['GET'])
def generate_pdf_statement():
if 'user_id' not in session:
return jsonify({'error': 'Unauthorized'}), 401
account_id = request.args.get('account_id')
start_date = request.args.get('start_date')
end_date = request.args.get('end_date')
try:
account_object_id = ObjectId(account_id)
account = mongo.db.accounts.find_one({'_id': account_object_id, 'customer_id': ObjectId(session['user_id'])})
if not account:
return jsonify({'error': 'Account not found'}), 404
transactions = list(mongo.db.transactions.find({
'account_id': account_object_id,
'timestamp': {
'$gte': start_date,
'$lte': end_date
}
}).sort('timestamp', pymongo.DESCENDING))
# Create a PDF
buffer = BytesIO()
doc = SimpleDocTemplate(buffer, pagesize=letter)
elements = []
# Add title
styles = getSampleStyleSheet()
elements.append(Paragraph(f"Account Statement", styles['Title']))
elements.append(Paragraph(f"Account Type: {account['account_type']}", styles['Normal']))
elements.append(Paragraph(f"Balance: ${account['balance']:.2f}", styles['Normal']))
elements.append(Paragraph(f"From: {start_date} To: {end_date}", styles['Normal']))
# Add transactions table
data = [['Date', 'Type', 'Amount']]
for transaction in transactions:
# Parse the timestamp string into a datetime object
timestamp = datetime.fromisoformat(transaction['timestamp'].replace('Z', '+00:00'))
data.append([
timestamp.strftime('%Y-%m-%d %H:%M:%S'),
transaction['type'],
f"${transaction['amount']:.2f}",
transaction.get('from_account_name', '-'),
transaction.get('to_account_name', '-')
])
table = Table(data)
table.setStyle(TableStyle([
('BACKGROUND', (0, 0), (-1, 0), colors.grey),
('TEXTCOLOR', (0, 0), (-1, 0), colors.whitesmoke),
('ALIGN', (0, 0), (-1, -1), 'CENTER'),
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'),
('FONTSIZE', (0, 0), (-1, 0), 14),
('BOTTOMPADDING', (0, 0), (-1, 0), 12),
('BACKGROUND', (0, 1), (-1, -1), colors.beige),
('TEXTCOLOR', (0, 1), (-1, -1), colors.black),
('ALIGN', (0, 0), (-1, -1), 'CENTER'),
('FONTNAME', (0, 1), (-1, -1), 'Helvetica'),
('FONTSIZE', (0, 1), (-1, -1), 12),
('TOPPADDING', (0, 1), (-1, -1), 6),
('BOTTOMPADDING', (0, 1), (-1, -1), 6),
('GRID', (0, 0), (-1, -1), 1, colors.black)
]))
elements.append(table)
# Generate PDF
doc.build(elements)
# Prepare response
pdf = buffer.getvalue()
buffer.close()
response = make_response(pdf)
response.headers['Content-Type'] = 'application/pdf'
response.headers['Content-Disposition'] = f'attachment; filename=statement_{start_date}_to_{end_date}.pdf'
return response
except Exception as e:
app.logger.error(f"Error generating PDF statement: {str(e)}")
app.logger.error(traceback.format_exc()) # This will log the full stack trace
return jsonify({'error': 'An error occurred while generating the PDF statement'}), 500
@app.route('/api/review_transactions', methods=['GET'])
def get_review_transactions():
if 'user_id' not in session:
return jsonify({'error': 'Unauthorized'}), 401
transactions = list(mongo.db.transactions.find({
'fraud_flags': {'$exists': True, '$ne': []},
'reviewed': False
}))
for transaction in transactions:
transaction['_id'] = str(transaction['_id'])
transaction['account_id'] = str(transaction['account_id'])
transaction['timestamp'] = transaction['timestamp'].isoformat()
return jsonify(transactions), 200
@app.route('/api/review_transaction', methods=['POST'])
def review_transaction():
if 'user_id' not in session:
return jsonify({'error': 'Unauthorized'}), 401
data = request.json
transaction_id = data.get('transaction_id')
review_status = data.get('review_status') # "legitimate" or "fraudulent"
if not transaction_id or review_status not in ['legitimate', 'fraudulent']:
return jsonify({'error': 'Invalid input'}), 400
update_data = {
'reviewed': True,
'review_status': review_status
}
# If the transaction is reviewed as legitimate, clear the fraud flags
if review_status == 'legitimate':
update_data['fraud_flags'] = [] # Clear the fraud flags
mongo.db.transactions.update_one(
{'_id': ObjectId(transaction_id)},
{'$set': update_data}
)
return jsonify({'success': True}), 200
@app.route('/api/dashboard_metrics', methods=['GET'])
def get_dashboard_metrics():
try:
user_id = session.get('user_id')
if not user_id:
return jsonify({'error': 'Unauthorized'}), 401
# Fetch total balance
total_balance_cursor = db.accounts.aggregate([
{'$match': {'customer_id': ObjectId(user_id)}},
{'$group': {'_id': None, 'total_balance': {'$sum': '$balance'}}}
])
total_balance_result = list(total_balance_cursor)
total_balance = total_balance_result[0]["total_balance"] if total_balance_result else 0
# Calculate recent transactions
recent_transaction_count = db.transactions.count_documents({
"account_id": {'$in': [account['_id'] for account in db.accounts.find({'customer_id': ObjectId(user_id)})]},
"timestamp": {"$gte": datetime.now() - timedelta(days=7)}
})
# Calculate pending reviews
pending_review_count = db.transactions.count_documents({
"account_id": {'$in': [account['_id'] for account in db.accounts.find({'customer_id': ObjectId(user_id)})]},
"review_status": {"$exists": False},
"fraud_flags": {"$exists": True, "$ne": []}
})
# Calculate alerts
alert_count = db.alerts.count_documents({
"account_id": {'$in': [account['_id'] for account in db.accounts.find({'customer_id': ObjectId(user_id)})]}
})
return jsonify({
'total_balance': total_balance,
'recent_transaction_count': recent_transaction_count,
'pending_review_count': pending_review_count,
'alert_count': alert_count
}), 200
except Exception as e:
logging.error(f"Error fetching dashboard metrics: {e}")
return jsonify({'error': 'An error occurred'}), 500
def create_admin_user(username, password):
hashed_password = scrypt.hash(password)
admin_user = {
"username": username,
"password": hashed_password,
"is_admin": True
}
mongo.db.customers.insert_one(admin_user)
@app.route('/admin/login', methods=['GET', 'POST'])
def admin_login():
if request.method == 'POST':
username = request.form['username']
password = request.form['password']
user = mongo.db.customers.find_one({'username': username, 'is_admin': True})
if user and scrypt.verify(password, user['password']):
session['admin_id'] = str(user['_id'])
return redirect(url_for('admin_dashboard'))
return 'Invalid username or password', 401
return render_template('admin_login.html')
@app.route('/admin/logout')
def admin_logout():
session.pop('admin_id', None)
return redirect(url_for('admin_login'))
@app.route('/admin/dashboard')
def admin_dashboard():
if 'admin_id' not in session:
return redirect(url_for('admin_login'))
# Add admin dashboard logic here
return render_template('admin_dashboard.html')
def serialize_mongo_doc(doc):
"""Helper function to serialize MongoDB document"""
for key, value in doc.items():
if isinstance(value, ObjectId):
doc[key] = str(value)
elif isinstance(value, datetime):
doc[key] = value.isoformat()
return doc
@app.route('/admin/api/dashboard_metrics')
def admin_dashboard_metrics():
if 'admin_id' not in session:
return jsonify({'error': 'Unauthorized'}), 401
total_users = mongo.db.customers.count_documents({})
total_transactions = mongo.db.transactions.count_documents({})
total_accounts = mongo.db.accounts.count_documents({})
recent_transactions = list(mongo.db.transactions.find().sort('timestamp', -1).limit(5))
recent_transactions = [serialize_mongo_doc(transaction) for transaction in recent_transactions]
fraud_alerts = list(mongo.db.transactions.find({'fraud_flags': {'$exists': True, '$ne': []}}).sort('timestamp', -1).limit(5))
fraud_alerts = [serialize_mongo_doc(alert) for alert in fraud_alerts]
return jsonify({
'total_users': total_users,
'total_transactions': total_transactions,
'total_accounts': total_accounts,
'recent_transactions': recent_transactions,
'fraud_alerts': fraud_alerts
})
@app.route('/admin/api/transaction_volume')
def transaction_volume():
if 'admin_id' not in session:
return jsonify({'error': 'Unauthorized'}), 401
pipeline = [
{
'$addFields': {
'date': {
'$dateFromString': {
'dateString': '$timestamp',
'onError': '$timestamp' # If parsing fails, use the original value
}
}
}
},
{
'$group': {
'_id': {
'$dateToString': {
'format': '%Y-%m-%d',
'date': '$date'
}
},
'count': {'$sum': 1},
'total_amount': {'$sum': '$amount'}
}
},
{'$sort': {'_id': 1}},