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seed_data.py
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214 lines (200 loc) · 8.88 KB
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#!/usr/bin/env python3
"""
Seed script for mutual funds database.
Inserts sample data into the finances_fund table.
"""
import asyncio
import asyncpg
import uuid
from datetime import date, datetime
from decimal import Decimal
import os
from dotenv import load_dotenv
load_dotenv()
# Database connection settings
POSTGRES_HOST = os.getenv("POSTGRES_HOST", "localhost")
POSTGRES_PORT = int(os.getenv("POSTGRES_PORT", 5432))
POSTGRES_DATABASE = os.getenv("POSTGRES_DATABASE", "mutual_funds")
POSTGRES_USER = os.getenv("POSTGRES_USER")
POSTGRES_PASSWORD = os.getenv("POSTGRES_PASSWORD")
async def seed_data():
"""Insert sample data into finances_fund table."""
# Connect to database
conn = await asyncpg.connect(
user=POSTGRES_USER,
password=POSTGRES_PASSWORD,
database=POSTGRES_DATABASE,
host=POSTGRES_HOST,
port=POSTGRES_PORT
)
try:
# Check if table exists
table_exists = await conn.fetchval("""
SELECT EXISTS (
SELECT FROM information_schema.tables
WHERE table_schema = 'public'
AND table_name = 'finances_fund'
);
""")
if not table_exists:
print("❌ finances_fund table does not exist. Please create it first.")
return
# Clear existing data (if any)
await conn.execute("DELETE FROM finances_fund")
# Sample data
sample_funds = [
{
'fund_id': str(uuid.uuid4()),
'name': 'ICICI Prudential Bluechip Fund',
'full_name': 'ICICI Prudential Bluechip Fund - Direct Plan - Growth',
'amc_name': 'ICICI Prudential Mutual Fund',
'amc_short_name': 'ICICI Prudential',
'asset_class': 'Equity',
'sub_asset_class': 'Large Cap',
'sebi_category_name': 'Large Cap Fund',
'nav': Decimal('89.45'),
'nav_date': date(2024, 1, 10),
'aum': Decimal('45000000000'), # 45,000 crores
'return_1year': Decimal('0.18'), # 18%
'return_3year': Decimal('0.15'), # 15%
'return_5year': Decimal('0.12'), # 12%
'return_since_launch': Decimal('0.14'),
'fund_expense_ratio': Decimal('0.52'),
'risk_level': 'High',
'fund_recommendation_rating': 4,
'min_initial_investment': 5000,
'is_sip_allowed': True,
'is_active_status': True,
'is_direct': True
},
{
'fund_id': str(uuid.uuid4()),
'name': 'SBI Small Cap Fund',
'full_name': 'SBI Small Cap Fund - Direct Plan - Growth',
'amc_name': 'SBI Mutual Fund',
'amc_short_name': 'SBI',
'asset_class': 'Equity',
'sub_asset_class': 'Small Cap',
'sebi_category_name': 'Small Cap Fund',
'nav': Decimal('145.67'),
'nav_date': date(2024, 1, 10),
'aum': Decimal('12000000000'), # 12,000 crores
'return_1year': Decimal('0.28'), # 28%
'return_3year': Decimal('0.22'), # 22%
'return_5year': Decimal('0.19'), # 19%
'return_since_launch': Decimal('0.21'),
'fund_expense_ratio': Decimal('0.65'),
'risk_level': 'Very High',
'fund_recommendation_rating': 5,
'min_initial_investment': 5000,
'is_sip_allowed': True,
'is_active_status': True,
'is_direct': True
},
{
'fund_id': str(uuid.uuid4()),
'name': 'HDFC Corporate Bond Fund',
'full_name': 'HDFC Corporate Bond Fund - Direct Plan - Growth',
'amc_name': 'HDFC Mutual Fund',
'amc_short_name': 'HDFC',
'asset_class': 'Debt',
'sub_asset_class': 'Corporate Bond',
'sebi_category_name': 'Corporate Bond Fund',
'nav': Decimal('22.89'),
'nav_date': date(2024, 1, 10),
'aum': Decimal('8500000000'), # 8,500 crores
'return_1year': Decimal('0.06'), # 6%
'return_3year': Decimal('0.065'), # 6.5%
'return_5year': Decimal('0.07'), # 7%
'return_since_launch': Decimal('0.068'),
'fund_expense_ratio': Decimal('0.35'),
'risk_level': 'Low',
'fund_recommendation_rating': 3,
'min_initial_investment': 5000,
'is_sip_allowed': True,
'is_active_status': True,
'is_direct': True
},
{
'fund_id': str(uuid.uuid4()),
'name': 'Axis Midcap Fund',
'full_name': 'Axis Midcap Fund - Direct Plan - Growth',
'amc_name': 'Axis Mutual Fund',
'amc_short_name': 'Axis',
'asset_class': 'Equity',
'sub_asset_class': 'Mid Cap',
'sebi_category_name': 'Mid Cap Fund',
'nav': Decimal('67.23'),
'nav_date': date(2024, 1, 10),
'aum': Decimal('18000000000'), # 18,000 crores
'return_1year': Decimal('0.25'), # 25%
'return_3year': Decimal('0.18'), # 18%
'return_5year': Decimal('0.16'), # 16%
'return_since_launch': Decimal('0.17'),
'fund_expense_ratio': Decimal('0.58'),
'risk_level': 'High',
'fund_recommendation_rating': 5,
'min_initial_investment': 5000,
'is_sip_allowed': True,
'is_active_status': True,
'is_direct': True
},
{
'fund_id': str(uuid.uuid4()),
'name': 'Mirae Asset Large Cap Fund',
'full_name': 'Mirae Asset Large Cap Fund - Direct Plan - Growth',
'amc_name': 'Mirae Asset Mutual Fund',
'amc_short_name': 'Mirae Asset',
'asset_class': 'Equity',
'sub_asset_class': 'Large Cap',
'sebi_category_name': 'Large Cap Fund',
'nav': Decimal('112.34'),
'nav_date': date(2024, 1, 10),
'aum': Decimal('25000000000'), # 25,000 crores
'return_1year': Decimal('0.16'), # 16%
'return_3year': Decimal('0.14'), # 14%
'return_5year': Decimal('0.13'), # 13%
'return_since_launch': Decimal('0.135'),
'fund_expense_ratio': Decimal('0.45'),
'risk_level': 'High',
'fund_recommendation_rating': 4,
'min_initial_investment': 1000,
'is_sip_allowed': True,
'is_active_status': True,
'is_direct': True
}
]
# Insert sample data using only the columns that exist
for fund in sample_funds:
try:
await conn.execute("""
INSERT INTO finances_fund (
fund_id, name, full_name, amc_name, amc_short_name,
asset_class, sub_asset_class, sebi_category_name,
nav, nav_date, aum, return_1year, return_3year, return_5year,
return_since_launch, fund_expense_ratio, risk_level,
fund_recommendation_rating, min_initial_investment,
is_sip_allowed, is_active_status, is_direct
) VALUES (
$1, $2, $3, $4, $5, $6, $7, $8, $9, $10,
$11, $12, $13, $14, $15, $16, $17, $18, $19,
$20, $21, $22
)
""",
fund['fund_id'], fund['name'], fund['full_name'], fund['amc_name'], fund['amc_short_name'],
fund['asset_class'], fund['sub_asset_class'], fund['sebi_category_name'],
fund['nav'], fund['nav_date'], fund['aum'], fund['return_1year'], fund['return_3year'], fund['return_5year'],
fund['return_since_launch'], fund['fund_expense_ratio'], fund['risk_level'],
fund['fund_recommendation_rating'], fund['min_initial_investment'],
fund['is_sip_allowed'], fund['is_active_status'], fund['is_direct']
)
print(f"✅ Inserted: {fund['name']}")
except Exception as e:
print(f"❌ Failed to insert {fund['name']}: {e}")
print(f"✅ Successfully inserted {len(sample_funds)} sample funds")
except Exception as e:
print(f"❌ Error: {e}")
finally:
await conn.close()
if __name__ == "__main__":
asyncio.run(seed_data())