A Generative AI Assistant for VSCode is an innovative extension that utilizes machine learning to help developers generate code, complete tasks, and streamline their workflow. This intelligent assistant can understand natural language input and respond accordingly.
As a coding assistant, CodeBuddy aims to provide an efficient and intuitive experience for developers. To further enhance its capabilities, we propose integrating a Text-to-SQL feature with JSON mode. This feature will enable users to generate SQL queries from natural language inputs and provide the output in JSON format.
Functional Requirements:
Text-to-SQL Conversion:
Accept natural language inputs from users (e.g., "Get all customers with orders over $100")
Convert the input into a valid SQL query (e.g., SELECT * FROM customers WHERE total_order_value > 100)
JSON Output:
Provide the SQL query output in JSON format (e.g., [{"customer_id": 1, "name": "John Doe", "total_order_value": 150}])
Support various JSON formats (e.g., pretty-printed, compact, etc.)
Database Support:
Integrate with popular databases (e.g., MySQL, PostgreSQL, SQLite, etc.)
Allow users to specify the database connection details (e.g., host, username, password, etc.)
Query Customization:
Enable users to customize the generated SQL query (e.g., add filters, sort, limit, etc.)
Provide a UI component for users to input custom query parameters
Error Handling:
Handle errors and exceptions that occur during the Text-to-SQL conversion process
Provide informative error messages to users
Non-Functional Requirements:
Performance:
Ensure the Text-to-SQL conversion process is efficient and responsive
Optimize the feature for large datasets and complex queries
Security:
Implement proper security measures to prevent SQL injection attacks
Validate user input to prevent malicious queries
Acceptance Criteria:
The feature can successfully convert natural language inputs into valid SQL queries.
The feature provides the SQL query output in JSON format.
The feature supports various databases and allows users to specify connection details.
The feature allows users to customize the generated SQL query.
The feature handles errors and exceptions properly.
The feature performs efficiently and responds quickly to user input.
The feature is secure and prevents SQL injection attacks.
As a coding assistant, CodeBuddy aims to provide an efficient and intuitive experience for developers. To further enhance its capabilities, we propose integrating a Text-to-SQL feature with JSON mode. This feature will enable users to generate SQL queries from natural language inputs and provide the output in JSON format.
Functional Requirements:
Text-to-SQL Conversion:
Accept natural language inputs from users (e.g., "Get all customers with orders over $100") Convert the input into a valid SQL query (e.g., SELECT * FROM customers WHERE total_order_value > 100)
JSON Output:
Provide the SQL query output in JSON format (e.g., [{"customer_id": 1, "name": "John Doe", "total_order_value": 150}]) Support various JSON formats (e.g., pretty-printed, compact, etc.)
Database Support:
Integrate with popular databases (e.g., MySQL, PostgreSQL, SQLite, etc.) Allow users to specify the database connection details (e.g., host, username, password, etc.)
Query Customization:
Enable users to customize the generated SQL query (e.g., add filters, sort, limit, etc.) Provide a UI component for users to input custom query parameters
Error Handling:
Handle errors and exceptions that occur during the Text-to-SQL conversion process Provide informative error messages to users Non-Functional Requirements:
Performance:
Ensure the Text-to-SQL conversion process is efficient and responsive Optimize the feature for large datasets and complex queries Security: Implement proper security measures to prevent SQL injection attacks Validate user input to prevent malicious queries
Acceptance Criteria:
The feature can successfully convert natural language inputs into valid SQL queries. The feature provides the SQL query output in JSON format. The feature supports various databases and allows users to specify connection details. The feature allows users to customize the generated SQL query. The feature handles errors and exceptions properly. The feature performs efficiently and responds quickly to user input. The feature is secure and prevents SQL injection attacks.