Building a ChatGPT Interface for Oracle APEX in 25 Mins

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Building a ChatGPT Interface for Oracle APEX in 25 Mins

Table of Contents

  1. Introduction
  2. Using Chat GPT for Oracle stats tracking
  3. Storing knowledge in Chart Density
  4. Incorporating additional information into Chart Density
  5. Refactoring the chat procedure
  6. Handling image requests
  7. Storing images in the database
  8. Uploading images to the static application files location
  9. Specifying user-generated messages in chat history
  10. Building chat history with Prompts

Introduction

In this article, we will explore the use of Chat GPT for tracking Oracle stats and how it can be integrated into Chart Density. We will also discuss the benefits of storing knowledge within Chart Density and how it can enhance the monitoring of Oracle stats. Additionally, we will cover the process of refactoring the chat procedure, handling image requests, and storing images in the database. We will also explore the methods for uploading images to the static application files location and specifying user-generated messages in chat history. Let's dive in!

Using Chat GPT for Oracle stats tracking

When working with Chat GPT, we initially thought it would take a week or two to develop. However, after just a day of working on it, we realized that it is already in a good enough state to be incorporated into our regular workload. One way we plan to utilize Chat GPT is by writing a program that will use it to explain each of the metric names from B dollar sista and store the information permanently in a file. This file will then be uploaded and become part of Chart Density, allowing for more Context and improved monitoring of Oracle stats.

Storing knowledge in Chart Density

As part of our goal to make information more dense within Chart Density, we wanted to include additional knowledge that users typically have to search for manually. For example, instead of having to look up information about "assm cbk blocks examined," we aim to store that knowledge within Chart Density. This will be done by incorporating Chat GPT as a plugin that can provide specific information and links related to the monitored Oracle stats. By doing so, users will have a more informative and efficient monitoring experience.

Incorporating additional information into Chart Density

Chart Density is designed to be expandable over time, allowing for the inclusion of specific information and additional details relating to the monitored metrics. This means that any kind of added information, such as links or context, can be incorporated into the charts. Whether it's monitoring Oracle stats or any other metrics, Chart Density seeks to provide users with comprehensive and valuable insights.

Refactoring the chat procedure

Currently, we have both an image procedure and a chat procedure within Chart Density. These two procedures have some redundancy, as they insert data into different tables. To eliminate this redundancy, We Are in the process of refactoring the procedures. The goal is to Create a more streamlined process by separating the common parts of the procedures and making them reusable. This refactoring will help improve the efficiency and maintainability of Chart Density.

Handling image requests

As part of our plans, we are working on incorporating the ability to request and display images within Chart Density. Initially, we are only requesting one image, but we are considering the option to request multiple images in the future. To accommodate this, we plan to make changes in the database structure, allowing for the storage of multiple images per request. We believe this will enhance the overall functionality and flexibility of Chart Density.

Storing images in the database

Currently, the images requested and generated by Chart Density are being stored in the database. This allows us to easily access and retrieve images when needed. However, we are also exploring the possibility of storing these images in the static application files location. This would enable users to have more control over the storage and retrieval of images, especially if they are running a different web server or have specific file hosting requirements. We are actively investigating different methods and options to achieve this functionality.

Uploading images to the static application files location

To upload images to the static application files location, users need to have their files hosted on the same server where Chart Density is running. While we have a method in place for uploading files and storing them in the database, we are still exploring the best approach for uploading images to the static application files location. Currently, we are researching options such as using an object store or other storage mechanisms, like S3. This functionality will provide users with more flexibility and control over their image storage and retrieval processes.

Specifying user-generated messages in chat history

Chart Density allows users to generate chat history and receive responses from Chat GPT Based on the provided messages. By default, Chat GPT requires the entire message history to be uploaded with each request. However, we are considering adding the ability to specify user-generated messages as prompts. This would allow users to prepend or include prompts in their chat history, thus influencing the generated responses. By doing so, users can have more control over the conversation flow and obtain more accurate and Relevant responses from Chat GPT.

Building chat history with prompts

In addition to the ability to specify user-generated messages as prompts, we are also working on providing a way to build chat history within Chart Density. This feature will enable users to create a chat history with predetermined prompts to enhance the accuracy and context of the responses generated by Chat GPT. By including prompts, users can guide the conversation and receive responses that Align closely with their specific requirements. This functionality will further empower users to leverage the full potential of Chat GPT within Chart Density.

Highlights

  • Using Chat GPT to enhance Oracle stats tracking in Chart Density
  • Storing knowledge within Chart Density for improved monitoring
  • Refactoring the chat procedure to eliminate redundancy
  • Handling and storing images in Chart Density
  • Uploading images to the static application files location for enhanced control
  • Specifying user-generated messages as prompts in chat history
  • Building chat history with prompts for more accurate responses

FAQ

Q: Can I request multiple images in one session with Chart Density? A: While Chart Density currently supports requesting one image per session, there are plans to implement the functionality to request and display multiple images in the future.

Q: How can I store images in the static application files location? A: Storing images in the static application files location requires your files to be hosted on the same server where Chart Density is running. If your files are hosted on a different web server, alternative methods like using an object store or S3 can be explored.

Q: Can I modify the chat history to influence the generated responses? A: Yes, by specifying user-generated messages and using prompts, you can guide the conversation flow and obtain more accurate and tailored responses from Chat GPT in Chart Density.

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