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gregwdata /defog-sqlcoder-q8:26c8690b
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| prompt |
string
|
Text prompt
|
|
| max_length |
integer
|
1200
Min: 1 |
Maximum number of tokens to generate. A word is generally 2-3 tokens
|
| num_beams |
integer
|
5
Min: 1 |
Number of beams for beam search
|
| prompt_template |
string
|
### Instructions:
Your task is convert a question into a SQL query, given a Postgres database schema.
Adhere to these rules:
- **Deliberately go through the question and database schema word by word** to appropriately answer the question
- **Use Table Aliases** to prevent ambiguity. For example, `SELECT table1.col1, table2.col1 FROM table1 JOIN table2 ON table1.id = table2.id`.
- When creating a ratio, always cast the numerator as float
### Input:
Generate a SQL query that answers the question `{user_question}`.
This query will run on a database whose schema is represented in this string:
{table_metadata_string}
### Response:
Based on your instructions, here is the SQL query I have generated to answer the question `{user_question}`:
```sql
|
Prompt template for SQLcoder - see https://github.com/defog-ai/sqlcoder/blob/main/prompt.md . Must contain {user_question} and {table_metadata_string} parameters.
|
| schema_metadata |
string
|
CREATE TABLE products (
product_id INTEGER PRIMARY KEY, -- Unique ID for each product
name VARCHAR(50), -- Name of the product
price DECIMAL(10,2), -- Price of each unit of the product
quantity INTEGER -- Current quantity in stock
);
CREATE TABLE customers (
customer_id INTEGER PRIMARY KEY, -- Unique ID for each customer
name VARCHAR(50), -- Name of the customer
address VARCHAR(100) -- Mailing address of the customer
);
CREATE TABLE salespeople (
salesperson_id INTEGER PRIMARY KEY, -- Unique ID for each salesperson
name VARCHAR(50), -- Name of the salesperson
region VARCHAR(50) -- Geographic sales region
);
CREATE TABLE sales (
sale_id INTEGER PRIMARY KEY, -- Unique ID for each sale
product_id INTEGER, -- ID of product sold
customer_id INTEGER, -- ID of customer who made purchase
salesperson_id INTEGER, -- ID of salesperson who made the sale
sale_date DATE, -- Date the sale occurred
quantity INTEGER -- Quantity of product sold
);
CREATE TABLE product_suppliers (
supplier_id INTEGER PRIMARY KEY, -- Unique ID for each supplier
product_id INTEGER, -- Product ID supplied
supply_price DECIMAL(10,2) -- Unit price charged by supplier
);
-- sales.product_id can be joined with products.product_id
-- sales.customer_id can be joined with customers.customer_id
-- sales.salesperson_id can be joined with salespeople.salesperson_id
-- product_suppliers.product_id can be joined with products.product_id
|
Description of database schema. See https://github.com/defog-ai/sqlcoder/blob/main/metadata.sql
|
| seed |
integer
|
-1
Min: -1 |
Set seed for reproducible outputs. Set to -1 for random seed.
|
| stream |
boolean
|
False
|
whether to stream output - sets beam search to 1, so may reduce result quality
|
| debug |
boolean
|
False
|
provide debugging output in logs
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'type': 'string'},
'title': 'Output',
'type': 'array',
'x-cog-array-display': 'concatenate',
'x-cog-array-type': 'iterator'}