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chore: Merge sample data scripts.
This commit is contained in:
Elisiário Couto
@@ -1,10 +1,479 @@
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"""Generate sample database command."""
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import json
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import random
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import sqlite3
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from datetime import datetime, timedelta
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from pathlib import Path
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from typing import Any
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import click
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class SampleDataGenerator:
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"""Generates realistic sample data for testing Leggen."""
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def __init__(self, db_path: Path):
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self.db_path = db_path
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self.institutions = [
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{
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"id": "REVOLUT_REVOLT21",
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"name": "Revolut",
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"bic": "REVOLT21",
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"country": "LT",
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},
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{
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"id": "BANCOBPI_BBPIPTPL",
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"name": "Banco BPI",
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"bic": "BBPIPTPL",
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"country": "PT",
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},
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{
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"id": "MONZO_MONZGB2L",
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"name": "Monzo Bank",
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"bic": "MONZGB2L",
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"country": "GB",
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},
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{
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"id": "NUBANK_NUPBBR25",
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"name": "Nu Pagamentos",
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"bic": "NUPBBR25",
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"country": "BR",
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},
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]
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self.transaction_types = [
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{
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"description": "Grocery Store",
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"amount_range": (-150, -20),
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"frequency": 0.3,
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},
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{"description": "Coffee Shop", "amount_range": (-15, -3), "frequency": 0.2},
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{
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"description": "Gas Station",
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"amount_range": (-80, -30),
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"frequency": 0.1,
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},
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{
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"description": "Online Shopping",
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"amount_range": (-200, -25),
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"frequency": 0.15,
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},
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{
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"description": "Restaurant",
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"amount_range": (-60, -15),
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"frequency": 0.15,
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},
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{"description": "Salary", "amount_range": (2500, 5000), "frequency": 0.02},
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{
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"description": "ATM Withdrawal",
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"amount_range": (-200, -20),
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"frequency": 0.05,
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},
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{
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"description": "Transfer to Savings",
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"amount_range": (-1000, -100),
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"frequency": 0.03,
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},
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]
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def ensure_database_dir(self):
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"""Ensure database directory exists."""
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self.db_path.parent.mkdir(parents=True, exist_ok=True)
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def create_tables(self):
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"""Create database tables."""
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conn = sqlite3.connect(str(self.db_path))
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cursor = conn.cursor()
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# Create accounts table
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS accounts (
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id TEXT PRIMARY KEY,
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institution_id TEXT,
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status TEXT,
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iban TEXT,
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name TEXT,
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currency TEXT,
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created DATETIME,
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last_accessed DATETIME,
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last_updated DATETIME,
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display_name TEXT
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)
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""")
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# Create transactions table with composite primary key
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS transactions (
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accountId TEXT NOT NULL,
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transactionId TEXT NOT NULL,
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internalTransactionId TEXT,
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institutionId TEXT,
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iban TEXT,
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transactionDate DATETIME,
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description TEXT,
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transactionValue REAL,
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transactionCurrency TEXT,
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transactionStatus TEXT,
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rawTransaction JSON,
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PRIMARY KEY (accountId, transactionId)
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)
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""")
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# Create balances table
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS balances (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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account_id TEXT,
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bank TEXT,
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status TEXT,
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iban TEXT,
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amount REAL,
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currency TEXT,
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type TEXT,
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timestamp DATETIME
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)
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""")
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# Create indexes
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cursor.execute(
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"CREATE INDEX IF NOT EXISTS idx_transactions_internal_id ON transactions(internalTransactionId)"
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)
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cursor.execute(
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"CREATE INDEX IF NOT EXISTS idx_transactions_date ON transactions(transactionDate)"
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)
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cursor.execute(
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"CREATE INDEX IF NOT EXISTS idx_transactions_account_date ON transactions(accountId, transactionDate)"
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)
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cursor.execute(
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"CREATE INDEX IF NOT EXISTS idx_transactions_amount ON transactions(transactionValue)"
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)
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cursor.execute(
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"CREATE INDEX IF NOT EXISTS idx_balances_account_id ON balances(account_id)"
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)
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cursor.execute(
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"CREATE INDEX IF NOT EXISTS idx_balances_timestamp ON balances(timestamp)"
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)
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cursor.execute(
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"CREATE INDEX IF NOT EXISTS idx_balances_account_type_timestamp ON balances(account_id, type, timestamp)"
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)
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cursor.execute(
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"CREATE INDEX IF NOT EXISTS idx_accounts_institution_id ON accounts(institution_id)"
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)
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cursor.execute(
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"CREATE INDEX IF NOT EXISTS idx_accounts_status ON accounts(status)"
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)
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conn.commit()
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conn.close()
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def generate_iban(self, country_code: str) -> str:
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"""Generate a realistic IBAN for the given country."""
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ibans = {
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"LT": lambda: f"LT{random.randint(10, 99)}{random.randint(10000, 99999)}{random.randint(10000000, 99999999)}",
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"PT": lambda: f"PT{random.randint(10, 99)}{random.randint(1000, 9999)}{random.randint(1000, 9999)}{random.randint(10000000000, 99999999999)}",
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"GB": lambda: f"GB{random.randint(10, 99)}MONZ{random.randint(100000, 999999)}{random.randint(100000, 999999)}",
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"BR": lambda: f"BR{random.randint(10, 99)}{random.randint(10000000, 99999999)}{random.randint(1000, 9999)}{random.randint(10000000, 99999999)}",
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}
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return ibans.get(
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country_code,
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lambda: f"{country_code}{random.randint(1000000000000000, 9999999999999999)}",
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)()
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def generate_accounts(self, num_accounts: int = 3) -> list[dict[str, Any]]:
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"""Generate sample accounts."""
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accounts = []
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base_date = datetime.now() - timedelta(days=90)
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for i in range(num_accounts):
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institution = random.choice(self.institutions)
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account_id = f"account-{i + 1:03d}-{random.randint(1000, 9999)}"
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account = {
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"id": account_id,
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"institution_id": institution["id"],
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"status": "READY",
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"iban": self.generate_iban(institution["country"]),
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"name": f"Personal Account {i + 1}",
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"currency": "EUR",
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"created": (
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base_date + timedelta(days=random.randint(0, 30))
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).isoformat(),
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"last_accessed": (
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datetime.now() - timedelta(hours=random.randint(1, 48))
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).isoformat(),
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"last_updated": datetime.now().isoformat(),
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}
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accounts.append(account)
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return accounts
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def generate_transactions(
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self, accounts: list[dict[str, Any]], num_transactions_per_account: int = 50
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) -> list[dict[str, Any]]:
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"""Generate sample transactions for accounts."""
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transactions = []
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base_date = datetime.now() - timedelta(days=60)
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for account in accounts:
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account_transactions = []
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current_balance = random.uniform(500, 3000)
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for i in range(num_transactions_per_account):
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# Choose transaction type based on frequency weights
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transaction_type = random.choices(
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self.transaction_types,
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weights=[t["frequency"] for t in self.transaction_types],
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)[0]
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# Generate transaction amount
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min_amount, max_amount = transaction_type["amount_range"]
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amount = round(random.uniform(min_amount, max_amount), 2)
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# Generate transaction date (more recent transactions are more likely)
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days_ago = random.choices(
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range(60), weights=[1.5 ** (60 - d) for d in range(60)]
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)[0]
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transaction_date = base_date + timedelta(
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days=days_ago,
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hours=random.randint(6, 22),
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minutes=random.randint(0, 59),
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)
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# Generate transaction IDs
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transaction_id = f"bank-txn-{account['id']}-{i + 1:04d}"
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internal_transaction_id = f"int-txn-{random.randint(100000, 999999)}"
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# Create realistic descriptions
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descriptions = {
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"Grocery Store": [
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"TESCO",
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"SAINSBURY'S",
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"LIDL",
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"ALDI",
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"WALMART",
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"CARREFOUR",
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],
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"Coffee Shop": [
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"STARBUCKS",
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"COSTA COFFEE",
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"PRET A MANGER",
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"LOCAL CAFE",
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],
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"Gas Station": ["BP", "SHELL", "ESSO", "GALP", "PETROBRAS"],
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"Online Shopping": ["AMAZON", "EBAY", "ZALANDO", "ASOS", "APPLE"],
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"Restaurant": [
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"PIZZA HUT",
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"MCDONALD'S",
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"BURGER KING",
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"LOCAL RESTAURANT",
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],
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"Salary": ["MONTHLY SALARY", "PAYROLL DEPOSIT", "SALARY PAYMENT"],
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"ATM Withdrawal": ["ATM WITHDRAWAL", "CASH WITHDRAWAL"],
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"Transfer to Savings": ["SAVINGS TRANSFER", "INVESTMENT TRANSFER"],
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}
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specific_descriptions = descriptions.get(
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transaction_type["description"], [transaction_type["description"]]
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)
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description = random.choice(specific_descriptions)
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# Create raw transaction (simplified GoCardless format)
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raw_transaction = {
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"transactionId": transaction_id,
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"bookingDate": transaction_date.strftime("%Y-%m-%d"),
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"valueDate": transaction_date.strftime("%Y-%m-%d"),
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"transactionAmount": {
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"amount": str(amount),
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"currency": account["currency"],
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},
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"remittanceInformationUnstructured": description,
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"bankTransactionCode": "PMNT" if amount < 0 else "RCDT",
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}
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# Determine status (most are booked, some recent ones might be pending)
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status = (
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"pending" if days_ago < 2 and random.random() < 0.1 else "booked"
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)
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transaction = {
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"accountId": account["id"],
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"transactionId": transaction_id,
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"internalTransactionId": internal_transaction_id,
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"institutionId": account["institution_id"],
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"iban": account["iban"],
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"transactionDate": transaction_date.isoformat(),
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"description": description,
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"transactionValue": amount,
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"transactionCurrency": account["currency"],
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"transactionStatus": status,
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"rawTransaction": raw_transaction,
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}
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account_transactions.append(transaction)
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current_balance += amount
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# Sort transactions by date for realistic ordering
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account_transactions.sort(key=lambda x: x["transactionDate"])
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transactions.extend(account_transactions)
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return transactions
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def generate_balances(self, accounts: list[dict[str, Any]]) -> list[dict[str, Any]]:
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"""Generate sample balances for accounts."""
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balances = []
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for account in accounts:
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# Calculate balance from transactions (simplified)
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base_balance = random.uniform(500, 2000)
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balance_types = ["interimAvailable", "closingBooked", "authorised"]
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for balance_type in balance_types:
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# Add some variation to balance types
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variation = (
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random.uniform(-50, 50) if balance_type != "interimAvailable" else 0
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)
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balance_amount = base_balance + variation
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balance = {
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"account_id": account["id"],
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"bank": account["institution_id"],
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"status": account["status"],
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"iban": account["iban"],
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"amount": round(balance_amount, 2),
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"currency": account["currency"],
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"type": balance_type,
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"timestamp": datetime.now().isoformat(),
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}
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balances.append(balance)
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return balances
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def insert_data(
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self,
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accounts: list[dict[str, Any]],
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transactions: list[dict[str, Any]],
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balances: list[dict[str, Any]],
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):
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"""Insert generated data into the database."""
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conn = sqlite3.connect(str(self.db_path))
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cursor = conn.cursor()
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# Insert accounts
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for account in accounts:
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cursor.execute(
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"""
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INSERT OR REPLACE INTO accounts
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(id, institution_id, status, iban, name, currency, created, last_accessed, last_updated, display_name)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""",
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(
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account["id"],
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account["institution_id"],
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account["status"],
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account["iban"],
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account["name"],
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account["currency"],
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account["created"],
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account["last_accessed"],
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account["last_updated"],
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None, # display_name is initially None for sample data
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),
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)
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# Insert transactions
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for transaction in transactions:
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cursor.execute(
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"""
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INSERT OR REPLACE INTO transactions
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(accountId, transactionId, internalTransactionId, institutionId, iban,
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transactionDate, description, transactionValue, transactionCurrency,
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transactionStatus, rawTransaction)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""",
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(
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transaction["accountId"],
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transaction["transactionId"],
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transaction["internalTransactionId"],
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transaction["institutionId"],
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transaction["iban"],
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transaction["transactionDate"],
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transaction["description"],
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transaction["transactionValue"],
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transaction["transactionCurrency"],
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transaction["transactionStatus"],
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json.dumps(transaction["rawTransaction"]),
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),
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)
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# Insert balances
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for balance in balances:
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cursor.execute(
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"""
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INSERT INTO balances
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(account_id, bank, status, iban, amount, currency, type, timestamp)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?)
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""",
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(
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balance["account_id"],
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balance["bank"],
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balance["status"],
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balance["iban"],
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balance["amount"],
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balance["currency"],
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balance["type"],
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balance["timestamp"],
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),
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)
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conn.commit()
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conn.close()
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def generate_sample_database(
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self, num_accounts: int = 3, num_transactions_per_account: int = 50
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):
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"""Generate complete sample database."""
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click.echo(f"🗄️ Creating sample database at: {self.db_path}")
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self.ensure_database_dir()
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self.create_tables()
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click.echo(f"👥 Generating {num_accounts} sample accounts...")
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accounts = self.generate_accounts(num_accounts)
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click.echo(
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f"💳 Generating {num_transactions_per_account} transactions per account..."
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)
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transactions = self.generate_transactions(
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accounts, num_transactions_per_account
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)
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click.echo("💰 Generating account balances...")
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balances = self.generate_balances(accounts)
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click.echo("💾 Inserting data into database...")
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self.insert_data(accounts, transactions, balances)
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# Print summary
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click.echo("\n✅ Sample database created successfully!")
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click.echo("📊 Summary:")
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click.echo(f" - Accounts: {len(accounts)}")
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click.echo(f" - Transactions: {len(transactions)}")
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click.echo(f" - Balances: {len(balances)}")
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click.echo(f" - Database: {self.db_path}")
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# Show account details
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click.echo("\n📋 Sample accounts:")
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for account in accounts:
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institution_name = next(
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inst["name"]
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for inst in self.institutions
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if inst["id"] == account["institution_id"]
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)
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click.echo(f" - {account['id']} ({institution_name}) - {account['iban']}")
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@click.command()
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@click.option(
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"--database",
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@@ -30,39 +499,45 @@ import click
|
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)
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@click.pass_context
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def generate_sample_db(
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ctx: click.Context, database: Path, accounts: int, transactions: int, force: bool
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ctx: click.Context,
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database: Path | None,
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accounts: int,
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transactions: int,
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force: bool,
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):
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"""Generate a sample database with realistic financial data for testing."""
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import os
|
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|
||||
# Import here to avoid circular imports
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||||
import subprocess
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import sys
|
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from pathlib import Path as PathlibPath
|
||||
|
||||
# Get the script path
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||||
script_path = (
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PathlibPath(__file__).parent.parent.parent / "scripts" / "generate_sample_db.py"
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||||
)
|
||||
|
||||
# Build command arguments
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||||
cmd = [sys.executable, str(script_path)]
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||||
from leggen.utils.paths import path_manager
|
||||
|
||||
# Determine database path
|
||||
if database:
|
||||
cmd.extend(["--database", str(database)])
|
||||
db_path = database
|
||||
else:
|
||||
# Use development database by default to avoid overwriting production data
|
||||
env_path = os.environ.get("LEGGEN_DATABASE_PATH")
|
||||
if env_path:
|
||||
db_path = Path(env_path)
|
||||
else:
|
||||
# Default to development database in config directory
|
||||
db_path = path_manager.get_config_dir() / "leggen-dev.db"
|
||||
|
||||
cmd.extend(["--accounts", str(accounts)])
|
||||
cmd.extend(["--transactions", str(transactions)])
|
||||
# Check if database exists and ask for confirmation
|
||||
if db_path.exists() and not force:
|
||||
click.echo(f"⚠️ Database already exists: {db_path}")
|
||||
if not click.confirm("Do you want to overwrite it?"):
|
||||
click.echo("Aborted.")
|
||||
ctx.exit(0)
|
||||
|
||||
if force:
|
||||
cmd.append("--force")
|
||||
# Generate the sample database
|
||||
generator = SampleDataGenerator(db_path)
|
||||
generator.generate_sample_database(accounts, transactions)
|
||||
|
||||
# Execute the script
|
||||
try:
|
||||
subprocess.run(cmd, check=True)
|
||||
except subprocess.CalledProcessError as e:
|
||||
click.echo(f"Error generating sample database: {e}")
|
||||
ctx.exit(1)
|
||||
|
||||
|
||||
# Export the command
|
||||
generate_sample_db = generate_sample_db
|
||||
# Show usage instructions
|
||||
click.echo("\n🚀 Usage instructions:")
|
||||
click.echo("To use this sample database with leggen commands:")
|
||||
click.echo(f" export LEGGEN_DATABASE_PATH={db_path}")
|
||||
click.echo(" leggen transactions")
|
||||
click.echo("")
|
||||
click.echo("To use this sample database with leggen server:")
|
||||
click.echo(f" leggen server --database {db_path}")
|
||||
|
||||
@@ -1,548 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Sample database generator for Leggen testing and development."""
|
||||
|
||||
import json
|
||||
import random
|
||||
import sqlite3
|
||||
import sys
|
||||
from datetime import datetime, timedelta
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, List
|
||||
|
||||
import click
|
||||
|
||||
# Add the project root to the Python path
|
||||
project_root = Path(__file__).parent.parent
|
||||
sys.path.insert(0, str(project_root))
|
||||
|
||||
# Import after path setup - this is necessary for the script to work
|
||||
from leggen.utils.paths import path_manager # noqa: E402
|
||||
|
||||
|
||||
class SampleDataGenerator:
|
||||
"""Generates realistic sample data for testing Leggen."""
|
||||
|
||||
def __init__(self, db_path: Path):
|
||||
self.db_path = db_path
|
||||
self.institutions = [
|
||||
{
|
||||
"id": "REVOLUT_REVOLT21",
|
||||
"name": "Revolut",
|
||||
"bic": "REVOLT21",
|
||||
"country": "LT",
|
||||
},
|
||||
{
|
||||
"id": "BANCOBPI_BBPIPTPL",
|
||||
"name": "Banco BPI",
|
||||
"bic": "BBPIPTPL",
|
||||
"country": "PT",
|
||||
},
|
||||
{
|
||||
"id": "MONZO_MONZGB2L",
|
||||
"name": "Monzo Bank",
|
||||
"bic": "MONZGB2L",
|
||||
"country": "GB",
|
||||
},
|
||||
{
|
||||
"id": "NUBANK_NUPBBR25",
|
||||
"name": "Nu Pagamentos",
|
||||
"bic": "NUPBBR25",
|
||||
"country": "BR",
|
||||
},
|
||||
]
|
||||
|
||||
self.transaction_types = [
|
||||
{
|
||||
"description": "Grocery Store",
|
||||
"amount_range": (-150, -20),
|
||||
"frequency": 0.3,
|
||||
},
|
||||
{"description": "Coffee Shop", "amount_range": (-15, -3), "frequency": 0.2},
|
||||
{
|
||||
"description": "Gas Station",
|
||||
"amount_range": (-80, -30),
|
||||
"frequency": 0.1,
|
||||
},
|
||||
{
|
||||
"description": "Online Shopping",
|
||||
"amount_range": (-200, -25),
|
||||
"frequency": 0.15,
|
||||
},
|
||||
{
|
||||
"description": "Restaurant",
|
||||
"amount_range": (-60, -15),
|
||||
"frequency": 0.15,
|
||||
},
|
||||
{"description": "Salary", "amount_range": (2500, 5000), "frequency": 0.02},
|
||||
{
|
||||
"description": "ATM Withdrawal",
|
||||
"amount_range": (-200, -20),
|
||||
"frequency": 0.05,
|
||||
},
|
||||
{
|
||||
"description": "Transfer to Savings",
|
||||
"amount_range": (-1000, -100),
|
||||
"frequency": 0.03,
|
||||
},
|
||||
]
|
||||
|
||||
def ensure_database_dir(self):
|
||||
"""Ensure database directory exists."""
|
||||
self.db_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
def create_tables(self):
|
||||
"""Create database tables."""
|
||||
conn = sqlite3.connect(str(self.db_path))
|
||||
cursor = conn.cursor()
|
||||
|
||||
# Create accounts table
|
||||
cursor.execute("""
|
||||
CREATE TABLE IF NOT EXISTS accounts (
|
||||
id TEXT PRIMARY KEY,
|
||||
institution_id TEXT,
|
||||
status TEXT,
|
||||
iban TEXT,
|
||||
name TEXT,
|
||||
currency TEXT,
|
||||
created DATETIME,
|
||||
last_accessed DATETIME,
|
||||
last_updated DATETIME,
|
||||
display_name TEXT
|
||||
)
|
||||
""")
|
||||
|
||||
# Create transactions table with composite primary key
|
||||
cursor.execute("""
|
||||
CREATE TABLE IF NOT EXISTS transactions (
|
||||
accountId TEXT NOT NULL,
|
||||
transactionId TEXT NOT NULL,
|
||||
internalTransactionId TEXT,
|
||||
institutionId TEXT,
|
||||
iban TEXT,
|
||||
transactionDate DATETIME,
|
||||
description TEXT,
|
||||
transactionValue REAL,
|
||||
transactionCurrency TEXT,
|
||||
transactionStatus TEXT,
|
||||
rawTransaction JSON,
|
||||
PRIMARY KEY (accountId, transactionId)
|
||||
)
|
||||
""")
|
||||
|
||||
# Create balances table
|
||||
cursor.execute("""
|
||||
CREATE TABLE IF NOT EXISTS balances (
|
||||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||
account_id TEXT,
|
||||
bank TEXT,
|
||||
status TEXT,
|
||||
iban TEXT,
|
||||
amount REAL,
|
||||
currency TEXT,
|
||||
type TEXT,
|
||||
timestamp DATETIME
|
||||
)
|
||||
""")
|
||||
|
||||
# Create indexes
|
||||
cursor.execute(
|
||||
"CREATE INDEX IF NOT EXISTS idx_transactions_internal_id ON transactions(internalTransactionId)"
|
||||
)
|
||||
cursor.execute(
|
||||
"CREATE INDEX IF NOT EXISTS idx_transactions_date ON transactions(transactionDate)"
|
||||
)
|
||||
cursor.execute(
|
||||
"CREATE INDEX IF NOT EXISTS idx_transactions_account_date ON transactions(accountId, transactionDate)"
|
||||
)
|
||||
cursor.execute(
|
||||
"CREATE INDEX IF NOT EXISTS idx_transactions_amount ON transactions(transactionValue)"
|
||||
)
|
||||
cursor.execute(
|
||||
"CREATE INDEX IF NOT EXISTS idx_balances_account_id ON balances(account_id)"
|
||||
)
|
||||
cursor.execute(
|
||||
"CREATE INDEX IF NOT EXISTS idx_balances_timestamp ON balances(timestamp)"
|
||||
)
|
||||
cursor.execute(
|
||||
"CREATE INDEX IF NOT EXISTS idx_balances_account_type_timestamp ON balances(account_id, type, timestamp)"
|
||||
)
|
||||
cursor.execute(
|
||||
"CREATE INDEX IF NOT EXISTS idx_accounts_institution_id ON accounts(institution_id)"
|
||||
)
|
||||
cursor.execute(
|
||||
"CREATE INDEX IF NOT EXISTS idx_accounts_status ON accounts(status)"
|
||||
)
|
||||
|
||||
conn.commit()
|
||||
conn.close()
|
||||
|
||||
def generate_iban(self, country_code: str) -> str:
|
||||
"""Generate a realistic IBAN for the given country."""
|
||||
ibans = {
|
||||
"LT": lambda: f"LT{random.randint(10, 99)}{random.randint(10000, 99999)}{random.randint(10000000, 99999999)}",
|
||||
"PT": lambda: f"PT{random.randint(10, 99)}{random.randint(1000, 9999)}{random.randint(1000, 9999)}{random.randint(10000000000, 99999999999)}",
|
||||
"GB": lambda: f"GB{random.randint(10, 99)}MONZ{random.randint(100000, 999999)}{random.randint(100000, 999999)}",
|
||||
"BR": lambda: f"BR{random.randint(10, 99)}{random.randint(10000000, 99999999)}{random.randint(1000, 9999)}{random.randint(10000000, 99999999)}",
|
||||
}
|
||||
return ibans.get(
|
||||
country_code,
|
||||
lambda: f"{country_code}{random.randint(1000000000000000, 9999999999999999)}",
|
||||
)()
|
||||
|
||||
def generate_accounts(self, num_accounts: int = 3) -> List[Dict[str, Any]]:
|
||||
"""Generate sample accounts."""
|
||||
accounts = []
|
||||
base_date = datetime.now() - timedelta(days=90)
|
||||
|
||||
for i in range(num_accounts):
|
||||
institution = random.choice(self.institutions)
|
||||
account_id = f"account-{i + 1:03d}-{random.randint(1000, 9999)}"
|
||||
|
||||
account = {
|
||||
"id": account_id,
|
||||
"institution_id": institution["id"],
|
||||
"status": "READY",
|
||||
"iban": self.generate_iban(institution["country"]),
|
||||
"name": f"Personal Account {i + 1}",
|
||||
"currency": "EUR",
|
||||
"created": (
|
||||
base_date + timedelta(days=random.randint(0, 30))
|
||||
).isoformat(),
|
||||
"last_accessed": (
|
||||
datetime.now() - timedelta(hours=random.randint(1, 48))
|
||||
).isoformat(),
|
||||
"last_updated": datetime.now().isoformat(),
|
||||
}
|
||||
accounts.append(account)
|
||||
|
||||
return accounts
|
||||
|
||||
def generate_transactions(
|
||||
self, accounts: List[Dict[str, Any]], num_transactions_per_account: int = 50
|
||||
) -> List[Dict[str, Any]]:
|
||||
"""Generate sample transactions for accounts."""
|
||||
transactions = []
|
||||
base_date = datetime.now() - timedelta(days=60)
|
||||
|
||||
for account in accounts:
|
||||
account_transactions = []
|
||||
current_balance = random.uniform(500, 3000)
|
||||
|
||||
for i in range(num_transactions_per_account):
|
||||
# Choose transaction type based on frequency weights
|
||||
transaction_type = random.choices(
|
||||
self.transaction_types,
|
||||
weights=[t["frequency"] for t in self.transaction_types],
|
||||
)[0]
|
||||
|
||||
# Generate transaction amount
|
||||
min_amount, max_amount = transaction_type["amount_range"]
|
||||
amount = round(random.uniform(min_amount, max_amount), 2)
|
||||
|
||||
# Generate transaction date (more recent transactions are more likely)
|
||||
days_ago = random.choices(
|
||||
range(60), weights=[1.5 ** (60 - d) for d in range(60)]
|
||||
)[0]
|
||||
transaction_date = base_date + timedelta(
|
||||
days=days_ago,
|
||||
hours=random.randint(6, 22),
|
||||
minutes=random.randint(0, 59),
|
||||
)
|
||||
|
||||
# Generate transaction IDs
|
||||
transaction_id = f"bank-txn-{account['id']}-{i + 1:04d}"
|
||||
internal_transaction_id = f"int-txn-{random.randint(100000, 999999)}"
|
||||
|
||||
# Create realistic descriptions
|
||||
descriptions = {
|
||||
"Grocery Store": [
|
||||
"TESCO",
|
||||
"SAINSBURY'S",
|
||||
"LIDL",
|
||||
"ALDI",
|
||||
"WALMART",
|
||||
"CARREFOUR",
|
||||
],
|
||||
"Coffee Shop": [
|
||||
"STARBUCKS",
|
||||
"COSTA COFFEE",
|
||||
"PRET A MANGER",
|
||||
"LOCAL CAFE",
|
||||
],
|
||||
"Gas Station": ["BP", "SHELL", "ESSO", "GALP", "PETROBRAS"],
|
||||
"Online Shopping": ["AMAZON", "EBAY", "ZALANDO", "ASOS", "APPLE"],
|
||||
"Restaurant": [
|
||||
"PIZZA HUT",
|
||||
"MCDONALD'S",
|
||||
"BURGER KING",
|
||||
"LOCAL RESTAURANT",
|
||||
],
|
||||
"Salary": ["MONTHLY SALARY", "PAYROLL DEPOSIT", "SALARY PAYMENT"],
|
||||
"ATM Withdrawal": ["ATM WITHDRAWAL", "CASH WITHDRAWAL"],
|
||||
"Transfer to Savings": ["SAVINGS TRANSFER", "INVESTMENT TRANSFER"],
|
||||
}
|
||||
|
||||
specific_descriptions = descriptions.get(
|
||||
transaction_type["description"], [transaction_type["description"]]
|
||||
)
|
||||
description = random.choice(specific_descriptions)
|
||||
|
||||
# Create raw transaction (simplified GoCardless format)
|
||||
raw_transaction = {
|
||||
"transactionId": transaction_id,
|
||||
"bookingDate": transaction_date.strftime("%Y-%m-%d"),
|
||||
"valueDate": transaction_date.strftime("%Y-%m-%d"),
|
||||
"transactionAmount": {
|
||||
"amount": str(amount),
|
||||
"currency": account["currency"],
|
||||
},
|
||||
"remittanceInformationUnstructured": description,
|
||||
"bankTransactionCode": "PMNT" if amount < 0 else "RCDT",
|
||||
}
|
||||
|
||||
# Determine status (most are booked, some recent ones might be pending)
|
||||
status = (
|
||||
"pending" if days_ago < 2 and random.random() < 0.1 else "booked"
|
||||
)
|
||||
|
||||
transaction = {
|
||||
"accountId": account["id"],
|
||||
"transactionId": transaction_id,
|
||||
"internalTransactionId": internal_transaction_id,
|
||||
"institutionId": account["institution_id"],
|
||||
"iban": account["iban"],
|
||||
"transactionDate": transaction_date.isoformat(),
|
||||
"description": description,
|
||||
"transactionValue": amount,
|
||||
"transactionCurrency": account["currency"],
|
||||
"transactionStatus": status,
|
||||
"rawTransaction": raw_transaction,
|
||||
}
|
||||
|
||||
account_transactions.append(transaction)
|
||||
current_balance += amount
|
||||
|
||||
# Sort transactions by date for realistic ordering
|
||||
account_transactions.sort(key=lambda x: x["transactionDate"])
|
||||
transactions.extend(account_transactions)
|
||||
|
||||
return transactions
|
||||
|
||||
def generate_balances(self, accounts: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
|
||||
"""Generate sample balances for accounts."""
|
||||
balances = []
|
||||
|
||||
for account in accounts:
|
||||
# Calculate balance from transactions (simplified)
|
||||
base_balance = random.uniform(500, 2000)
|
||||
|
||||
balance_types = ["interimAvailable", "closingBooked", "authorised"]
|
||||
|
||||
for balance_type in balance_types:
|
||||
# Add some variation to balance types
|
||||
variation = (
|
||||
random.uniform(-50, 50) if balance_type != "interimAvailable" else 0
|
||||
)
|
||||
balance_amount = base_balance + variation
|
||||
|
||||
balance = {
|
||||
"account_id": account["id"],
|
||||
"bank": account["institution_id"],
|
||||
"status": account["status"],
|
||||
"iban": account["iban"],
|
||||
"amount": round(balance_amount, 2),
|
||||
"currency": account["currency"],
|
||||
"type": balance_type,
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
}
|
||||
balances.append(balance)
|
||||
|
||||
return balances
|
||||
|
||||
def insert_data(
|
||||
self,
|
||||
accounts: List[Dict[str, Any]],
|
||||
transactions: List[Dict[str, Any]],
|
||||
balances: List[Dict[str, Any]],
|
||||
):
|
||||
"""Insert generated data into the database."""
|
||||
conn = sqlite3.connect(str(self.db_path))
|
||||
cursor = conn.cursor()
|
||||
|
||||
# Insert accounts
|
||||
for account in accounts:
|
||||
cursor.execute(
|
||||
"""
|
||||
INSERT OR REPLACE INTO accounts
|
||||
(id, institution_id, status, iban, name, currency, created, last_accessed, last_updated, display_name)
|
||||
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
|
||||
""",
|
||||
(
|
||||
account["id"],
|
||||
account["institution_id"],
|
||||
account["status"],
|
||||
account["iban"],
|
||||
account["name"],
|
||||
account["currency"],
|
||||
account["created"],
|
||||
account["last_accessed"],
|
||||
account["last_updated"],
|
||||
None, # display_name is initially None for sample data
|
||||
),
|
||||
)
|
||||
|
||||
# Insert transactions
|
||||
for transaction in transactions:
|
||||
cursor.execute(
|
||||
"""
|
||||
INSERT OR REPLACE INTO transactions
|
||||
(accountId, transactionId, internalTransactionId, institutionId, iban,
|
||||
transactionDate, description, transactionValue, transactionCurrency,
|
||||
transactionStatus, rawTransaction)
|
||||
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
|
||||
""",
|
||||
(
|
||||
transaction["accountId"],
|
||||
transaction["transactionId"],
|
||||
transaction["internalTransactionId"],
|
||||
transaction["institutionId"],
|
||||
transaction["iban"],
|
||||
transaction["transactionDate"],
|
||||
transaction["description"],
|
||||
transaction["transactionValue"],
|
||||
transaction["transactionCurrency"],
|
||||
transaction["transactionStatus"],
|
||||
json.dumps(transaction["rawTransaction"]),
|
||||
),
|
||||
)
|
||||
|
||||
# Insert balances
|
||||
for balance in balances:
|
||||
cursor.execute(
|
||||
"""
|
||||
INSERT INTO balances
|
||||
(account_id, bank, status, iban, amount, currency, type, timestamp)
|
||||
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
|
||||
""",
|
||||
(
|
||||
balance["account_id"],
|
||||
balance["bank"],
|
||||
balance["status"],
|
||||
balance["iban"],
|
||||
balance["amount"],
|
||||
balance["currency"],
|
||||
balance["type"],
|
||||
balance["timestamp"],
|
||||
),
|
||||
)
|
||||
|
||||
conn.commit()
|
||||
conn.close()
|
||||
|
||||
def generate_sample_database(
|
||||
self, num_accounts: int = 3, num_transactions_per_account: int = 50
|
||||
):
|
||||
"""Generate complete sample database."""
|
||||
click.echo(f"🗄️ Creating sample database at: {self.db_path}")
|
||||
|
||||
self.ensure_database_dir()
|
||||
self.create_tables()
|
||||
|
||||
click.echo(f"👥 Generating {num_accounts} sample accounts...")
|
||||
accounts = self.generate_accounts(num_accounts)
|
||||
|
||||
click.echo(
|
||||
f"💳 Generating {num_transactions_per_account} transactions per account..."
|
||||
)
|
||||
transactions = self.generate_transactions(
|
||||
accounts, num_transactions_per_account
|
||||
)
|
||||
|
||||
click.echo("💰 Generating account balances...")
|
||||
balances = self.generate_balances(accounts)
|
||||
|
||||
click.echo("💾 Inserting data into database...")
|
||||
self.insert_data(accounts, transactions, balances)
|
||||
|
||||
# Print summary
|
||||
click.echo("\n✅ Sample database created successfully!")
|
||||
click.echo("📊 Summary:")
|
||||
click.echo(f" - Accounts: {len(accounts)}")
|
||||
click.echo(f" - Transactions: {len(transactions)}")
|
||||
click.echo(f" - Balances: {len(balances)}")
|
||||
click.echo(f" - Database: {self.db_path}")
|
||||
|
||||
# Show account details
|
||||
click.echo("\n📋 Sample accounts:")
|
||||
for account in accounts:
|
||||
institution_name = next(
|
||||
inst["name"]
|
||||
for inst in self.institutions
|
||||
if inst["id"] == account["institution_id"]
|
||||
)
|
||||
click.echo(f" - {account['id']} ({institution_name}) - {account['iban']}")
|
||||
|
||||
|
||||
@click.command()
|
||||
@click.option(
|
||||
"--database",
|
||||
type=click.Path(path_type=Path),
|
||||
help="Path to database file (default: uses LEGGEN_DATABASE_PATH or ~/.config/leggen/leggen-dev.db)",
|
||||
)
|
||||
@click.option(
|
||||
"--accounts",
|
||||
type=int,
|
||||
default=3,
|
||||
help="Number of sample accounts to generate (default: 3)",
|
||||
)
|
||||
@click.option(
|
||||
"--transactions",
|
||||
type=int,
|
||||
default=50,
|
||||
help="Number of transactions per account (default: 50)",
|
||||
)
|
||||
@click.option(
|
||||
"--force",
|
||||
is_flag=True,
|
||||
help="Overwrite existing database without confirmation",
|
||||
)
|
||||
def main(database: Path, accounts: int, transactions: int, force: bool):
|
||||
"""Generate a sample database with realistic financial data for testing Leggen."""
|
||||
|
||||
# Determine database path
|
||||
if database:
|
||||
db_path = database
|
||||
else:
|
||||
# Use development database by default to avoid overwriting production data
|
||||
import os
|
||||
|
||||
env_path = os.environ.get("LEGGEN_DATABASE_PATH")
|
||||
if env_path:
|
||||
db_path = Path(env_path)
|
||||
else:
|
||||
# Default to development database in config directory
|
||||
db_path = path_manager.get_config_dir() / "leggen-dev.db"
|
||||
|
||||
# Check if database exists and ask for confirmation
|
||||
if db_path.exists() and not force:
|
||||
click.echo(f"⚠️ Database already exists: {db_path}")
|
||||
if not click.confirm("Do you want to overwrite it?"):
|
||||
click.echo("Aborted.")
|
||||
return
|
||||
|
||||
# Generate the sample database
|
||||
generator = SampleDataGenerator(db_path)
|
||||
generator.generate_sample_database(accounts, transactions)
|
||||
|
||||
# Show usage instructions
|
||||
click.echo("\n🚀 Usage instructions:")
|
||||
click.echo("To use this sample database with leggen commands:")
|
||||
click.echo(f" export LEGGEN_DATABASE_PATH={db_path}")
|
||||
click.echo(" leggen transactions")
|
||||
click.echo("")
|
||||
click.echo("To use this sample database with leggen server:")
|
||||
click.echo(f" leggen server --database {db_path}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user