Prompt
Answer
Visual Representation of Flask Application Logic
Overview
This document provides a visual representation of the logic and structure of a Flask web application. The application generates random data based on user input, utilizing OpenAI's API to produce Python code. The design includes route handling, data generation, and error management.
Flowchart Representation
Main Components
- Flask App Initialization
- Routes and Request Handling
- Data Generation Logic
- Error Logging and Handling
Flowchart
+----------------------------------------------------------+
| Flask Application (app) |
+----------------------------------------------------------+
| (Init Performed) |
| |
| +--- Set OpenAI API key (from environment variable) ---+
| | |
| +---- Check for API key validity (raise error if not) |
| |
+---------------------------+------------------------------+
|
v
+-------------------------+
| Route: '/' |
| (index function) |
+-------------------------+
| Handle GET and POST |
| requests here |
+-------------------------+
|
+----------------+-----------------+
| |
(POST) (GET)
| |
v v
+--------------------------+ +---------------------------+
| Retrieve Form Data | | Render HTML Template |
| 'scenario', 'num_rows',| | with selected scenario |
| 'num_columns' | +---------------------------+
+--------------------------+
|
v
+---------------------------+
| Generate Random Data |
| via OpenAI API (function)|
+---------------------------+
| - Create Prompt |
| - Call OpenAI API |
| - Extract and Execute |
| Python Code |
+---------------------------+
|
/ \
/ \
/ \
v v
Success Error
| |
| |
+-------------------------+
| Execute Generated Code |
| (using exec()) |
+-------------------------+
|
+---+---+
| |
Data Error
| |
+-------------------------+
| Write Data to CSV |
| - Use StringIO for |
| in-memory file |
+-------------------------+
|
v
+--------------------------+
| Send CSV file to user |
| (send_file response) |
+--------------------------+
Explanation of Key Components
Flask App Initialization:
- The application begins by importing necessary libraries and initializing the Flask application.
- An API key is set from the environment. An error is raised if the key is not available.
Route Handling:
- The
index()
function handles bothGET
andPOST
requests. - On
GET
, it returns the HTML template. - On
POST
, it processes form submissions and captures scenario inputs.
- The
Data Generation:
- The application generates Python code via OpenAI's API based on user-provided scenarios and column numbers.
- The code is extracted and executed to create a function that generates random data.
- The
generate_random_data
function's output is processed as per the request type (for previews or full datasets).
Error Handling and Logging:
- The application logs information and errors throughout the execution process.
- Proper error messages are returned to the frontend in case of any exceptions.
Conclusion
This visualization encapsulates the structure and flow of the provided Flask application that integrates user inputs for dynamic data generation. By following this flowchart, one can gain insights into how the application processes requests, generates code, and handles errors effectively.
For further understanding of similar concepts, consider exploring courses available on the Enterprise DNA Platform.
Description
This document visualizes the logic and structure of a Flask app that generates random data using OpenAI's API. It details components like initialization, route handling, data generation, and error management through a comprehensive flowchart.