Implement Database Business Discussion Micro-App

[mouimet-infinisoft]

This issue outlines the development tasks for the "Database Business Discussion" micro-app. This micro-app aims to empower business users with natural language interaction and analysis capabilities for their databases.

Scope:

• CRUD (Create, Read, Update, Delete) Database Operations: Implement functionalities for basic data manipulation within supported databases (MySQL, SQL Server, PostgreSQL).
• Database Connection Management: Develop a system to establish and maintain secure connections to various database systems.
• Schema Discovery: Design functionalities to analyze and retrieve initial information about database schemas, including tables, relationships, constraints, and metadata.
• Data Analysis and Insights (Optional): Explore possibilities for analyzing data relationships and generating insights or predictions based on the retrieved information.
• Natural Language to SQL Conversion: Implement a module that converts user-provided natural language queries into corresponding SQL queries targeting specific database schemas.
• Query Execution and Natural Language Result Presentation: Develop functionalities to execute generated SQL queries, retrieve data, and present results back to the user in natural language.
• Visualization and Insights (Future): Integrate visualization tools (future) to present data visually and potentially explore predictive analytics functionalities.

Target Users:

• Business users with limited technical expertise.
• Users seeking a natural language interface to interact with their databases.

Tasks:

• [ ] Research and Select Libraries:

  • Evaluate and choose appropriate libraries for:
    • Database connectivity (MySQL, SQL Server, PostgreSQL)
    • Schema discovery
    • Natural Language Processing (NLP)
    • SQL generation
    • Data visualization (future)
  • New: Include the @brainstack/diagram library for generating PlantUML code.

• [ ] Develop Database Connection Management:

  • Implement secure connection establishment logic for supported databases.
  • Handle connection pooling and management for efficient data access.

• [ ] Develop Schema Discovery Functionality:

  • Design and implement logic to retrieve schema information like tables, relationships, constraints, and metadata from connected databases.
  • Store and manage schema information for further processing.
  • New: Utilize the retrieved schema information to generate PlantUML code for the entity relationship diagrams using the @brainstack/diagram library.

• [ ] Implement Natural Language Processing (NLP):

  • Integrate an NLP library to understand user intent from natural language queries.
  • Extract relevant keywords and entities related to the database schema.

• [ ] Develop SQL Generation Engine:

  • Design and implement a logic engine to translate user intent and extracted information into valid SQL queries.
  • Utilize discovered schema information to ensure valid query construction.

• [ ] Implement Query Execution and Result Presentation:

  • Develop functionalities to execute generated SQL queries against connected databases.
  • Process retrieved data and translate it back into a user-friendly natural language format for presentation.

• [ ] (Optional) Explore Data Analysis and Insights:

  • Research potential techniques for analyzing data relationships and generating insights or predictions based on retrieved information.
  • Consider integrating libraries or tools for this purpose.

• [ ] (Future) Integrate Data Visualization Tools:

  • Evaluate and select appropriate libraries for interactive data visualization.
  • Design user interface elements to display data visually.

• [ ] Design User Interface:

  • Develop user interface components for natural language input, query execution, and result presentation in a user-friendly format.

• [ ] Implement Security Measures:

  • Ensure secure communication with databases through proper authentication and authorization mechanisms.
  • Sanitize user input to prevent SQL injection vulnerabilities.

• [ ] Unit and Integration Testing:

  • Develop comprehensive unit and integration tests for each component of the micro-app.

• [ ] Documentation:

  • Document the micro-app functionalities, user interface usage, and configuration options.

Additional Notes:

• Consider leveraging the micro-app architecture discussed previously for modularity and scalability.
• Define success metrics to track user adoption, accuracy of generated SQL queries, and clarity of presented results.

Future Considerations:

• Explore the possibility of automatically generating and updating PlantUML diagrams based on changes in the underlying database schema.

[Adonai-Technologies]

Hi can you pls assign this to me?