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name: query-builder description: Convert natural language questions into SQL queries. Activates when users ask data questions in plain English like "show me users who signed up last week" or "find orders over $100".

Query Builder

Convert natural language questions into SQL queries using the database schema.

When to Use

Activate when user asks questions like:

• "Show me all users who signed up last month"
• "Find orders greater than $100"
• "Which products have low inventory?"
• "Get the top 10 customers by total spend"

Workflow

1. Understand the Schema

Before generating SQL, always check the table structure:

whodb_tables(connection="...") → Get available tables
whodb_columns(table="relevant_table") → Get column names and types

2. Identify Intent

Parse the natural language request:

• Subject: What entity? (users, orders, products)
• Filter: What conditions? (last month, > $100, active)
• Aggregation: Count, sum, average, max, min?
• Grouping: By what dimension?
• Ordering: Sort by what? Ascending/descending?
• Limit: How many results?

3. Map to Schema

• Match entities to table names
• Match attributes to column names
• Identify foreign key joins needed

4. Generate SQL

Build the query following SQL best practices:

SELECT columns
FROM table
[JOIN other_table ON condition]
WHERE filters
[GROUP BY columns]
[HAVING aggregate_condition]
ORDER BY column [ASC|DESC]
LIMIT n;

5. Execute and Present

whodb_query(query="generated SQL")

Translation Patterns

Natural Language	SQL Pattern
"last week/month/year"	WHERE date_col >= DATE_SUB(NOW(), INTERVAL 1 WEEK)
"more than X" / "greater than X"	WHERE col > X
"top N"	ORDER BY col DESC LIMIT N
"how many"	SELECT COUNT(*)
"total" / "sum of"	SELECT SUM(col)
"average"	SELECT AVG(col)
"for each" / "by"	GROUP BY col
"between X and Y"	WHERE col BETWEEN X AND Y
"contains" / "like"	WHERE col LIKE '%term%'
"starts with"	WHERE col LIKE 'term%'
"is empty" / "is null"	WHERE col IS NULL
"is not empty"	WHERE col IS NOT NULL

Date Handling by Database

PostgreSQL

WHERE created_at >= NOW() - INTERVAL '7 days'
WHERE created_at >= DATE_TRUNC('month', CURRENT_DATE)

MySQL

WHERE created_at >= DATE_SUB(NOW(), INTERVAL 7 DAY)
WHERE created_at >= DATE_FORMAT(NOW(), '%Y-%m-01')

SQLite

WHERE created_at >= DATE('now', '-7 days')
WHERE created_at >= DATE('now', 'start of month')

Examples

"Show me users who signed up this month"

SELECT * FROM users
WHERE created_at >= DATE_TRUNC('month', CURRENT_DATE)
ORDER BY created_at DESC;

"Find the top 5 products by sales"

SELECT p.name, SUM(oi.quantity) as total_sold
FROM products p
JOIN order_items oi ON p.id = oi.product_id
GROUP BY p.id, p.name
ORDER BY total_sold DESC
LIMIT 5;

"How many orders per customer?"

SELECT customer_id, COUNT(*) as order_count
FROM orders
GROUP BY customer_id
ORDER BY order_count DESC;

Safety Rules

• Always use LIMIT for exploratory queries (default: 100)
• Never generate DELETE, UPDATE, or DROP unless explicitly requested
• Warn if query might return large result sets
• Use table aliases for readability in JOINs