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46dd0dc 5ebb80d 46dd0dc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 | # database.py β SQLite database: connection, seeding, and queries
import json
import sqlite3
import os
from seed_data import CUSTOMERS, TRANSACTIONS
DB_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "neobank.db")
def get_connection() -> sqlite3.Connection:
"""Get a SQLite connection with row factory for dict-like access."""
conn = sqlite3.connect(DB_PATH, check_same_thread=False)
conn.row_factory = sqlite3.Row
return conn
def init_database(conn: sqlite3.Connection):
"""Create tables and seed data. Safe to call on every app start."""
cur = conn.cursor()
# ββ Create tables ββ
cur.execute("""
CREATE TABLE IF NOT EXISTS customers (
user_id TEXT PRIMARY KEY,
name TEXT,
tier TEXT,
balance REAL,
status TEXT,
email TEXT,
phone TEXT,
dob TEXT,
address TEXT,
account_opened TEXT,
kyc_status TEXT,
fraud_flags TEXT
)
""")
cur.execute("""
CREATE TABLE IF NOT EXISTS transactions (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id TEXT,
date TEXT,
type TEXT,
amount REAL,
description TEXT,
recipient TEXT,
status TEXT,
FOREIGN KEY (user_id) REFERENCES customers(user_id)
)
""")
# ββ Seed customers (upsert) ββ
for c in CUSTOMERS:
cur.execute(
"""INSERT INTO customers
(user_id, name, tier, balance, status, email, phone, dob,
address, account_opened, kyc_status, fraud_flags)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
ON CONFLICT(user_id) DO UPDATE SET
name=excluded.name, tier=excluded.tier, balance=excluded.balance,
status=excluded.status, email=excluded.email, phone=excluded.phone,
dob=excluded.dob, address=excluded.address,
account_opened=excluded.account_opened, kyc_status=excluded.kyc_status,
fraud_flags=excluded.fraud_flags
""",
(
c["user_id"], c["name"], c["tier"], c["balance"],
c["status"], c["email"], c["phone"], c["dob"],
c["address"], c["account_opened"], c["kyc_status"],
json.dumps(c.get("fraud_flags", [])),
),
)
# ββ Seed transactions (only if table is empty) ββ
count = cur.execute("SELECT COUNT(*) FROM transactions").fetchone()[0]
if count == 0:
for t in TRANSACTIONS:
cur.execute(
"""INSERT INTO transactions
(user_id, date, type, amount, description, recipient, status)
VALUES (?, ?, ?, ?, ?, ?, ?)""",
(
t["user_id"], t["date"], t["type"], t["amount"],
t.get("description"), t.get("recipient"), t["status"],
),
)
conn.commit()
def get_customer(conn: sqlite3.Connection, user_id: str) -> dict | None:
"""Retrieve a single customer by user_id."""
row = conn.execute(
"SELECT * FROM customers WHERE user_id = ?", (user_id,)
).fetchone()
if row is None:
return None
d = dict(row)
d["fraud_flags"] = json.loads(d.get("fraud_flags") or "[]")
return d
def get_transactions(conn: sqlite3.Connection, user_id: str) -> list[dict]:
"""Retrieve all transactions for a user_id, newest first."""
rows = conn.execute(
"SELECT * FROM transactions WHERE user_id = ? ORDER BY date DESC",
(user_id,),
).fetchall()
return [dict(r) for r in rows]
def authenticate_user(conn: sqlite3.Connection, user_id: str, name: str) -> dict | None:
"""Authenticate a user by matching user_id and name (case-insensitive)."""
row = conn.execute(
"SELECT * FROM customers WHERE user_id = ? AND LOWER(name) = LOWER(?)",
(user_id, name),
).fetchone()
if row is None:
return None
d = dict(row)
d["fraud_flags"] = json.loads(d.get("fraud_flags") or "[]")
return d
def authenticate_by_name(conn: sqlite3.Connection, name: str) -> dict | None:
"""Authenticate a user by name only (case-insensitive).
The user_id and tier are looked up from the database and returned, so the
login form only needs to ask for the customer's name. No schema change β
the underlying records are unchanged.
"""
row = conn.execute(
"SELECT * FROM customers WHERE LOWER(name) = LOWER(?)",
(name.strip(),),
).fetchone()
if row is None:
return None
d = dict(row)
d["fraud_flags"] = json.loads(d.get("fraud_flags") or "[]")
return d
def format_account_details(customer: dict, transactions: list[dict]) -> str:
"""Format customer account details and transactions into a readable string."""
if not customer:
return "Account not found."
lines = [
f"Account Details for {customer['name']}",
f" User ID: {customer['user_id']}",
f" Tier: {customer['tier']}",
f" Balance: ${customer['balance']:,.2f}",
f" Status: {customer['status']}",
f" Email: {customer['email']}",
f" Phone: {customer['phone']}",
f" Account Opened: {customer['account_opened']}",
f" KYC Status: {customer['kyc_status']}",
]
flags = customer.get("fraud_flags", [])
if flags:
lines.append(f" Fraud Flags: {', '.join(flags)}")
if transactions:
lines.append("\nRecent Transactions:")
for txn in transactions:
amount_str = f"${txn['amount']:,.2f}" if txn["amount"] else "β"
desc = txn.get("description") or ""
recipient = txn.get("recipient")
detail = f"{recipient} ({desc})" if recipient else desc
lines.append(
f" [{txn['date']}] {txn['type']} | {amount_str} | {detail} | {txn['status']}"
)
return "\n".join(lines)
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