feat: Add User model and print user information

[clinicaimpacta]

User description

The code changes add a new User model and print the user information. This is useful for displaying user data in the application.

Background

Changes 🏗️

PR Quality Scorecard ✨

• Have you used the PR description template?   +2 pts
• Is your pull request atomic, focusing on a single change?   +5 pts
• Have you linked the GitHub issue(s) that this PR addresses?   +5 pts
• Have you documented your changes clearly and comprehensively?   +5 pts
• Have you changed or added a feature?   -4 pts
  • Have you added/updated corresponding documentation?   +4 pts
  • Have you added/updated corresponding integration tests?   +5 pts
• Have you changed the behavior of AutoGPT?   -5 pts
  • Have you also run agbenchmark to verify that these changes do not regress performance?   +10 pts

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PR Type

Enhancement, Tests, Configuration changes

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Description

• Added FinetuneBlock class for creating and starting OpenAI fine-tuning jobs.
• Implemented a basic Tkinter-based GUI for Auto-GPT in multiple files.
• Added TRAINING category to BlockCategory enum.
• Updated AgentMessageTile widget test with named parameters.
• Ensured frame pending for window display with ForceRedraw in Flutter window.
• Created GitHub Actions workflow for Python package.
• Set fallback configurations for older versions of the Flutter tool.
• Added a new debugging configuration in VSCode launch settings.

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Changes walkthrough 📝

	Relevant files
Enhancement	6 files finetune.py Add `FinetuneBlock` class for OpenAI fine-tuning jobs        rnd/autogpt_server/autogpt_server/blocks/finetune.py Added FinetuneBlock class for creating and starting OpenAI fine-tuning jobs. Implemented methods for splitting data, creating temporary files, and creating fine-tuning jobs. Defined input and output schemas for the block. +103/-0  agent.py Add basic Tkinter-based GUI for Auto-GPT                                  autogpt/agent.py Added AutoGPTGUI class for a basic Tkinter-based GUI. Implemented methods to run an agent and display output in a scrolled text widget. +32/-0    autogpt_gui.py Add basic Tkinter-based GUI for Auto-GPT                                  autogpt_gui.py Added AutoGPTGUI class for a basic Tkinter-based GUI. Implemented methods to run an agent and display output in a scrolled text widget. +32/-0    agent.py Add basic Tkinter-based GUI for Auto-GPT                                  agent.py Added AutoGPTGUI class for a basic Tkinter-based GUI. Implemented methods to run an agent and display output in a scrolled text widget. +32/-0    block.py Add `TRAINING` category to `BlockCategory` enum                    rnd/autogpt_server/autogpt_server/data/block.py Added TRAINING category to BlockCategory enum. +1/-0      flutter_window.cpp Ensure frame pending for window display with `ForceRedraw` frontend/windows/runner/flutter_window.cpp Added call to ForceRedraw to ensure a frame is pending for window display. +5/-0
Tests	1 files agent_message_tile_test.dart Update `AgentMessageTile` widget test with named parameters frontend/test/agent_message_tile_test.dart Updated import statement to use show keyword. Modified AgentMessageTile widget test to include named parameters. +8/-2
Configuration changes	3 files python-package.yml Add GitHub Actions workflow for Python package                      .github/workflows/python-package.yml Created GitHub Actions workflow for Python package. Included steps for setting up Python, installing dependencies, linting, and running tests. +40/-0    CMakeLists.txt Set fallback configurations for older Flutter tool versions frontend/windows/flutter/CMakeLists.txt Set fallback configurations for older versions of the Flutter tool. +6/-1      launch.json Add new debugging configuration                                                    rnd/autogpt_builder/.vscode/launch.json Added a new configuration for debugging. +6/-0
Additional files (token-limit)	1 files Widgets.ipynb ...                                                                                                            Widgets.ipynb ... +5543/-1

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[qodo-merge-pro]

PR Description updated to latest commit (ffce615)

• Copy walkthrough table to "Files Changed" Tab

[qodo-merge-pro]

PR Reviewer Guide 🔍

⏱️ Estimated effort to review: 4 🔵🔵🔵🔵⚪

🧪 No relevant tests

🔒 Security concerns Yes Sensitive information exposure: The handling of API keys in create_fine_tuning_job could expose sensitive information if not managed properly. Consider using environment variables or secure vault solutions to handle sensitive data.

⚡ Key issues to review Security Concern The API key is directly manipulated within the create_fine_tuning_job method, which could lead to accidental exposure or misuse. Consider securely managing API keys. Resource Leak Temporary files created in create_temp_file are not explicitly deleted after use, which might cause resource leaks. Code Error Duplicate named parameter 'message' in AgentMessageTile constructor call, which will cause a runtime error.

[qodo-merge-pro]

PR Code Suggestions ✨

Category	Suggestion	Score
Security	Replace hard-coded sensitive information with a secure retrieval method Replace the hard-coded API key in the test input with a method to retrieve it securely from an environment variable or a secure vault. Hard-coding sensitive information can lead to security risks if the code is exposed. rnd/autogpt_server/autogpt_server/blocks/finetune.py [32] -"api_key": "sk-test123", +"api_key": os.getenv("OPENAI_API_KEY"), Apply this suggestion Suggestion importance[1-10]: 10 Why: Replacing hard-coded sensitive information with a secure retrieval method is crucial for maintaining security and preventing potential exposure of sensitive data.	10
Best practice	Use context managers to handle files more safely and efficiently Use context managers for handling files to ensure that files are properly closed after their operations are complete, which prevents resource leakage. rnd/autogpt_server/autogpt_server/blocks/finetune.py [61] -training_file = open(training_file_path, "rb"), +with open(training_file_path, "rb") as file: + training_file = openai.files.create( + file=file, + purpose='fine-tune' + ) Apply this suggestion Suggestion importance[1-10]: 9 Why: Using context managers is a best practice for file handling in Python, ensuring that resources are properly managed and reducing the risk of resource leakage.	9
Possible bug	Implement error handling for file operations and API interactions Add error handling for file operations and API interactions to prevent the application from crashing and to provide more informative error messages to the user. rnd/autogpt_server/autogpt_server/blocks/finetune.py [60-62] -training_file = openai.files.create( - file=open(training_file_path, "rb"), - purpose='fine-tune' -) +try: + training_file = openai.files.create( + file=open(training_file_path, "rb"), + purpose='fine-tune' + ) +except Exception as e: + logging.error(f"Failed to create training file: {str(e)}") + raise Apply this suggestion Suggestion importance[1-10]: 8 Why: Implementing error handling improves the robustness of the application by preventing crashes and providing clearer error messages, which is important for debugging and user experience.	8

[clinicaimpacta]

lkj

[clinicaimpacta]

User description

The code changes add a new User model and print the user information. This is useful for displaying user data in the application.

Background

Changes 🏗️

PR Quality Scorecard ✨

[Swiftyos]

Thank you for taking the time to create this PR.

It's not entirely clear to me the purpose of the changes here. Could you explain the thinking behind what you've done and what you aim to achieve?

Thank you

[github-actions]

This pull request has conflicts with the base branch, please resolve those so we can evaluate the pull request.

[ntindle]

Ping us if you would like this reopened after answering @Swiftyos :)