Logic Visualizer

Flask Application for OpenAI Code Generation

This Flask application serves a web interface that interacts with the OpenAI API to generate Python code based on user scenarios. Users can preview data or download it as a CSV file, with comprehensive error handling and logging throughout.


Empty image or helper icon

Prompt

START Application

IMPORT necessary libraries (Flask, render_template, request, send_file, jsonify, session, csv, io, random, openai, os, logging, traceback)

INITIALIZE Flask application

SET OPENAI API key from environment variable 'OPENAIDEMO'

FUNCTION extract_python_code(response): INITIALIZE empty list code_lines SET in_code_block to False SPLIT response by newline

FOR each line IN lines:
    IF line starts with '```python':
        SET in_code_block to True
        CONTINUE
    ELSE IF line is '```' AND in_code_block:
        SET in_code_block to False
        CONTINUE
    IF in_code_block:
        APPEND line to code_lines
RETURN joined code_lines with newline

FUNCTION generate_python_code(scenario, num_columns): CONSTRUCT prompt using scenario and num_columns TRY: CALL OpenAI API to get code response STORE response from OpenAI RETURN extract_python_code(full_response) EXCEPT Exception e: LOG error message RETURN None

SET logging configuration

DEFINE route '/' with methods GET, POST: IF method is POST: LOG received scenario and data TRY: GET scenario, num_rows, num_columns from request LOG received data generated_code = CALL generate_python_code(scenario, num_columns) LOG generated code IF generated_code is valid string: TRY: EXECUTE generated_code using exec IF 'generate_random_data' is not defined: RAISE NameError IF 'preview' is present in request: preview_data = CALL generate_random_data with 5 rows RETURN preview_data as JSON response ELSE: data = CALL generate_random_data with num_rows LOG data generation INITIALIZE CSV writer WRITE header and data to CSV RETURN CSV file for download EXCEPT Exception e: LOG execution error RETURN error message as JSON response ELSE: LOG code generation failure RETURN failure message as JSON response EXCEPT Exception e: LOG unexpected error RETURN unexpected error message as JSON response ELSE: SELECTED_SCENARIO from session or set to empty RENDER index.html with selected scenario

DEFINE route '/scenario-browser': RENDER scenario_browser.html

DEFINE route '/set-scenario' with method POST: GET scenario from request JSON STORE scenario in session RETURN success message as JSON response

IF main module: RUN application on host '0.0.0.0' and port 8080 with debug mode

END Application

Answer

Visualizing Logic of Flask Application

Overview

The provided application utilizes Flask to serve a web-based interface that interacts with the OpenAI API. The main goal is to generate Python code based on user-defined scenarios and return either a preview of generated data or a downloadable CSV file.

Key Components

1. Library Imports

  • Flask: Web framework for building the application.
  • Other Libraries: Various libraries including for handling requests, JSON, CSV operations, and logging.

2. Flask Application Initialization

  • The Flask application is initialized and configured to use the OpenAI API key from environment variables.

3. Function Definitions

  • extract_python_code(response): Extracts Python code from OpenAI's response.
  • generate_python_code(scenario, num_columns): Generates Python code based on the scenario.

4. Route Definitions

  • / Route: Main entry point handling both GET and POST requests.
  • /scenario-browser Route: Renders the scenario browser HTML.
  • /set-scenario Route: Stores the selected scenario in the session.

5. Error Handling and Logging

Error handling is embedded throughout the application with logging for monitoring.

Flowchart Representation

Flowchart Elements

  • Start: Marks the application startup.

  • Initialization:

    • Import Libraries
    • Initialize Flask
    • Set OpenAI Key

  • Function Definitions:

    • extract_python_code: Process response to extract code.
    • generate_python_code: Constructs prompt and calls OpenAI.

  • Route Handling:

    • / Route:

      • Check if request method is POST.
      • Log data received.
      • Call generate_python_code.
      • If valid code:
        • Execute the generated code.
        • Check for data preview or CSV generation.
      • Return appropriate response (data or file).

    • /scenario-browser Route: Return HTML for scenario browser.

    • /set-scenario Route: Set scenario in session.

  • Logging: Throughout to capture and log errors or execution flow.

  • End: Application runtime.

Flowchart Visualization

                                +------------------+
                                |   Start          |
                                +------------------+
                                         |
                                         v
                    +-----------------------------------+
                    | Initialize Flask Application and   |
                    | Set OpenAI API Key from Env Var    |
                    +-----------------------------------+
                                         |
                                         v
                                 +------------------+
                                 | Define Functions  |
                                 +------------------+
                                         |
                                         v 
                          +-------------------------+
                          | Define Route Handling    |
                          +-------------------------+
                                         |
                 +-----------------------+-----------------------+
                 |                                              |
                 v                                              v
    +-----------------------------+                   +-----------------------------+
    | Route '/' – Handle GET/POST |                   | Route '/scenario-browser'   |
    +-----------------------------+                   +-----------------------------+
                 |                                              |
                 v                                              |
        +---------------------+                                   |
         | If POST – Log data |                                   |
        +---------------------+                                   |
                 |                                              |
                 v                                              |
        +---------------------+                                   |
        | Call generate_python_code |                            |
        +---------------------+                                   |
                 |                                              |
               /   \                                            |
          Valid Code  Invalid Code                          +------------------------------+
                 |                                              | Render scenario_browser.html |
                 v                                              +------------------------------+
         +--------------------+                                          |
         | Execute generated code|                                    +-------------------+
         +--------------------+                                    /  Return Response   |
                  |                                                  +-------------------+
                  v                                                   
 +-------------------------------+                              +------------------+
 | Preview data or Generate CSV  | <----------------------------| If 'preview'    |
 +-------------------------------+                              +------------------+
                  |                                              |
                  v                                              v
           +-----------------+                             +----------------+
           | Log & Return    | <--------------------------| Generate CSV    |
           | data as JSON    |                             +----------------+
           +-----------------+                                      |
                  |                                                |
                  v                                                v
           +-----------------------+                         +---------------------+
           |  Log execution error  |                         | Return CSV File     |
           +-----------------------+                         +---------------------+
                                                               
                            END

Conclusion

The visual representation serves to clarify the logic and flow of the Flask application, elucidating how different components interact to handle requests, generate code, and respond with data. Each route is designed with specific functionality, allowing diverse user interactions while logging for better error management.

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Description

This Flask application serves a web interface that interacts with the OpenAI API to generate Python code based on user scenarios. Users can preview data or download it as a CSV file, with comprehensive error handling and logging throughout.

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