Your chatbot is currently showing empty results because:
- Wrong table names: The code was using incorrect table names like
finances_fund_planinstead offinances_fund(as per PRD) - No sample data: The
finances_fundtable exists but has no data - Limited permissions: Your current database user doesn't have INSERT permissions
I've already updated all backend tools to use the correct table name finances_fund:
search_funds.py✅analyze_performance.py✅sector_analysis.py✅risk_return_scatter.py✅correlate_performance.py✅nav_trend_analysis.py✅
Option A: Create table + Add data (if you have admin access)
# If you have database admin access, run:
psql -U your_admin_user -d mutual_funds -f create_table.sql
python seed_data.pyOption B: Manual SQL (if table already exists)
-- Connect to your database and run this manually:
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
(gen_random_uuid(), 'ICICI Prudential Bluechip Fund', 'ICICI Prudential Bluechip Fund - Direct Plan - Growth', 'ICICI Prudential Mutual Fund', 'ICICI Prudential', 'Equity', 'Large Cap', 'Large Cap Fund', 89.45, '2024-01-10', 45000000000, 0.18, 0.15, 0.12, 0.14, 0.52, 'High', 4, 5000, true, true, true),
(gen_random_uuid(), 'SBI Small Cap Fund', 'SBI Small Cap Fund - Direct Plan - Growth', 'SBI Mutual Fund', 'SBI', 'Equity', 'Small Cap', 'Small Cap Fund', 145.67, '2024-01-10', 12000000000, 0.28, 0.22, 0.19, 0.21, 0.65, 'Very High', 5, 5000, true, true, true),
(gen_random_uuid(), 'HDFC Corporate Bond Fund', 'HDFC Corporate Bond Fund - Direct Plan - Growth', 'HDFC Mutual Fund', 'HDFC', 'Debt', 'Corporate Bond', 'Corporate Bond Fund', 22.89, '2024-01-10', 8500000000, 0.06, 0.065, 0.07, 0.068, 0.35, 'Low', 3, 5000, true, true, true),
(gen_random_uuid(), 'Axis Midcap Fund', 'Axis Midcap Fund - Direct Plan - Growth', 'Axis Mutual Fund', 'Axis', 'Equity', 'Mid Cap', 'Mid Cap Fund', 67.23, '2024-01-10', 18000000000, 0.25, 0.18, 0.16, 0.17, 0.58, 'High', 5, 5000, true, true, true),
(gen_random_uuid(), 'Mirae Asset Large Cap Fund', 'Mirae Asset Large Cap Fund - Direct Plan - Growth', 'Mirae Asset Mutual Fund', 'Mirae Asset', 'Equity', 'Large Cap', 'Large Cap Fund', 112.34, '2024-01-10', 25000000000, 0.16, 0.14, 0.13, 0.135, 0.45, 'High', 4, 1000, true, true, true);Option C: Grant permissions to your current user
-- Ask your DB admin to run:
GRANT INSERT, UPDATE, DELETE ON finances_fund TO your_current_user;
-- Then run: python seed_data.pyOnce you add the sample data, restart your backend and test these prompts in the chatbot:
- "hello" → Should get a friendly chat response
- "show me the top 5 funds by return" → Should show fund performance data
- "find large cap funds" → Should filter by asset class
- "which funds have the highest AUM?" → Should show AUM-sorted results
- "compare equity vs debt funds" → Should show sector analysis
✅ Frontend: Routes all prompts to /nl2sql for hybrid behavior
✅ Backend: Robust fallback from data queries to general chat
✅ Schema: All tools use correct finances_fund table name
✅ Hybrid Chat: Handles both general questions and data queries
- ✅ Backend: Ready and properly configured
- ✅ Frontend: Ready and properly configured
⚠️ Database: Needs sample data (see options above)
Once you add the sample data, your chatbot will be a true hybrid assistant that can:
- Answer general questions (weather, coding, etc.)
- Provide mutual fund insights from your database
- Gracefully fallback between the two modes