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Franziska Gerold 2026-05-29 23:05:41 +02:00
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project_description.md
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@ -1,4 +1,4 @@
**Lightweight Code Editor with AI integration**
###**Lightweight Code Editor with AI integration**
##1. Introduction
@ -31,22 +31,22 @@ Since the streamlit app is rerun after each action the session_state is used to
This module is the entrypoint for the streamlit functionality. It contains all elements that are visible when the program is run.
- sidebar:
The sidebar shows all python files within the working directory through fuctions found in the FileManager. Each file is represented by a clickable button.
There is no functionality to add or delete files from within the program. To change the available files the user has to manually add them to the directory.
Interacts with FileManger
+ sidebar:
The sidebar shows all python files within the working directory through fuctions found in the FileManager. Each file is represented by a clickable button.
There is no functionality to add or delete files from within the program. To change the available files the user has to manually add them to the directory.
Interacts with FileManger
- code editor:
The code editor shows the contents of the opened file. The contents can be changed, saved and also executed.
Interacts with FileManager, ExecutionEngine
+ code editor:
The code editor shows the contents of the opened file. The contents can be changed, saved and also executed.
Interacts with FileManager, ExecutionEngine
- chat:
This element consists of an input area to send messages to the AI, two toggles to enable different modes as well as a scrollable history.
The first toggle is "enable internet search". This appends the results of an internet search to the prompt that is sent to the AI.
This means the results from the search are not primarily for the user, but for the AI to use recent information before responing to the user.
The second toggle "debug with qwen" appears only when a file was executed. This mode uses more structured output which is also sent to the next prompt for the AI.
With this feedback the AI can help with a more focused approach to find and fix bugs in the code. The user has to implement the fixes themself since the AI cannot change the contents of the file.
Interacts with ChatManager, Debuglogger
+ chat:
This element consists of an input area to send messages to the AI, two toggles to enable different modes as well as a scrollable history.
The first toggle is "enable internet search". This appends the results of an internet search to the prompt that is sent to the AI.
This means the results from the search are not primarily for the user, but for the AI to use recent information before responing to the user.
The second toggle "debug with qwen" appears only when a file was executed. This mode uses more structured output which is also sent to the next prompt for the AI.
With this feedback the AI can help with a more focused approach to find and fix bugs in the code. The user has to implement the fixes themself since the AI cannot change the contents of the file.
Interacts with ChatManager, Debuglogger
# 4.2 FileManager.py
@ -91,45 +91,45 @@ The user does not directly see the search, but the result is sent with the promp
The following examples illustrate how to use this program.
*I want to ask the AI about something in my file*
**user actions**: - click on button with name of the file
- write message to AI
- wait for response
- implement suggestions from AI
**user actions**: + click on button with name of the file
+ write message to AI
+ wait for response
+ implement suggestions from AI
**interaction flow**: - st.sidebar uses list_files() to generate Buttons
- on_click uses open_file() to load content and file Path into session_state
- send_message() uses generate_prompt() to add system_prompt and context = file_content to the user_message
- response is displayed by st.session_state.messages
**interaction flow**: + st.sidebar uses list_files() to generate Buttons
+ on_click uses open_file() to load content and file Path into session_state
+ send_message() uses generate_prompt() to add system_prompt and context = file_content to the user_message
+ response is displayed by st.session_state.messages
*I want to ask the AI about somehting in my file, but the AI has outdated info about the topic*
**user actions**: - click on button with name of the file
- activate "enable internet search" toggle
- write message to AI
- wait for response
- implement suggestions from AI
**user actions**: + click on button with name of the file
+ activate "enable internet search" toggle
+ write message to AI
+ wait for response
+ implement suggestions from AI
**interaction flow**: - st.sidebar uses list_files() to generate Buttons
- on_click uses open_file() to load content and file Path into session_state
- send_message() uses generate_prompt() to add system_prompt and context = file_content and results from perform_search() to the user_message
- response is displayed by st.session_state.messages
**interaction flow**: + st.sidebar uses list_files() to generate Buttons
+ on_click uses open_file() to load content and file Path into session_state
+ send_message() uses generate_prompt() to add system_prompt and context = file_content and results from perform_search() to the user_message
+ response is displayed by st.session_state.messages
*I want to debug my code*
**user actions**: - click on button with name of the file
- click the "execute code" button
- write message to AI
- wait for response
- implement suggestions from AI
- write message to AI
- implement suggestions from AI
**user actions**: + click on button with name of the file
+ click the "execute code" button
+ write message to AI
+ wait for response
+ implement suggestions from AI
+ write message to AI
+ implement suggestions from AI
**interaction flow**: - st.sidebar uses list_files() to generate Buttons
- on_click uses open_file() to load content and file Path into session_state
- on_click uses run_code() to execute the file, results are formatted by format_output() or format_error()
- code_output or code_error are loaded into seassion_state
- send_message() uses generate_prompt() to add system_prompt which detects the "debug" toggle and adds context = file_content and code_output / code_error to the user_message
- response is displayed by st.session_state.messages
- send_message() uses generate_prompt() to add system_prompt which detects the "debug" toggle and adds context = file_content and code_output / code_error and debug response to the user_message
- response is displayed by st.session_state.messages
**interaction flow**: + st.sidebar uses list_files() to generate Buttons
+ on_click uses open_file() to load content and file Path into session_state
+ on_click uses run_code() to execute the file, results are formatted by format_output() or format_error()
+ code_output or code_error are loaded into seassion_state
+ send_message() uses generate_prompt() to add system_prompt which detects the "debug" toggle and adds context = file_content and code_output / code_error to the user_message
+ response is displayed by st.session_state.messages
+ send_message() uses generate_prompt() to add system_prompt which detects the "debug" toggle and adds context = file_content and code_output / code_error and debug response to the user_message
+ response is displayed by st.session_state.messages