Implement frontend GUI for LLM backend selection and configuration #20
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…ment Co-authored-by: vinod0m <221896197+vinod0m@users.noreply.github.com>
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| print("Settings: http://localhost:5000/settings") | ||
| print("\nPress Ctrl+C to stop the server") | ||
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| app.run(debug=True, host='0.0.0.0', port=5000) No newline at end of file |
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AI 3 months ago
To fix the problem, the Flask application should not be run with debug=True unconditionally. The best practice is to enable debug mode only in a development environment, and ensure it is disabled in production. This can be achieved by checking an environment variable (such as FLASK_ENV or a custom variable like SDLC_ENV) or by defaulting to debug=False. The most robust fix is to read an environment variable (e.g., SDLC_ENV), and set debug=True only if it is set to 'development'. This change should be made in the if __name__ == '__main__': block in run_frontend.py. No new imports are needed, as os is already imported.
| @@ -18,4 +18,5 @@ | ||
| print("Settings: http://localhost:5000/settings") | ||
| print("\nPress Ctrl+C to stop the server") | ||
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| app.run(debug=True, host='0.0.0.0', port=5000) | ||
| debug_mode = os.environ.get('SDLC_ENV', 'production').lower() == 'development' | ||
| app.run(debug=debug_mode, host='0.0.0.0', port=5000) |
| else: | ||
| return jsonify({"success": False, "message": "Failed to save configuration"}), 500 | ||
| except Exception as e: | ||
| return jsonify({"success": False, "message": str(e)}), 400 |
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To fix the problem, we should avoid returning the raw exception message (str(e)) to the user in the API response. Instead, we should return a generic error message such as "An internal error has occurred" or "Failed to update configuration". The detailed exception information should be logged on the server for debugging. This can be done using Python's built-in logging module, which is a well-known and standard way to log errors. The changes should be made in the update_config function (lines 85-86) in src/frontend/app.py. We need to:
- Import the
loggingmodule at the top of the file. - Configure logging (if not already done).
- Replace the response in the exception handler to return a generic error message.
- Log the exception details on the server.
| @@ -7,9 +7,13 @@ | ||
| import json | ||
| import os | ||
| from typing import Dict, Any | ||
| import logging | ||
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| app = Flask(__name__) | ||
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| # Configure logging | ||
| logging.basicConfig(level=logging.INFO) | ||
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| # Configuration file path | ||
| CONFIG_FILE = os.path.join(os.path.dirname(__file__), 'config', 'settings.json') | ||
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| @@ -83,7 +84,8 @@ | ||
| else: | ||
| return jsonify({"success": False, "message": "Failed to save configuration"}), 500 | ||
| except Exception as e: | ||
| return jsonify({"success": False, "message": str(e)}), 400 | ||
| logging.exception("Exception occurred while updating configuration") | ||
| return jsonify({"success": False, "message": "An internal error has occurred"}), 400 | ||
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| @app.route('/api/backend/select', methods=['POST']) | ||
| def select_backend(): |
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| return jsonify({"success": False, "message": "Invalid backend"}), 400 | ||
| except Exception as e: | ||
| return jsonify({"success": False, "message": str(e)}), 400 |
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To fix the problem, we should avoid returning the raw exception message to the client. Instead, we should log the exception details on the server (for debugging and auditing purposes) and return a generic error message to the client. This ensures that sensitive information is not exposed to users, while still allowing developers to diagnose issues. The fix should be applied to the exception handler in the /api/backend/select endpoint (lines 102-103). We should also ensure that the logging is done using Python's standard logging library, which is more appropriate than print for production code. This will require importing the logging module and configuring it if not already done.
| @@ -7,9 +7,11 @@ | ||
| import json | ||
| import os | ||
| from typing import Dict, Any | ||
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| import logging | ||
| app = Flask(__name__) | ||
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| # Configure logging | ||
| logging.basicConfig(level=logging.INFO) | ||
| # Configuration file path | ||
| CONFIG_FILE = os.path.join(os.path.dirname(__file__), 'config', 'settings.json') | ||
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| @@ -100,7 +100,8 @@ | ||
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| return jsonify({"success": False, "message": "Invalid backend"}), 400 | ||
| except Exception as e: | ||
| return jsonify({"success": False, "message": str(e)}), 400 | ||
| logging.exception("Exception occurred in select_backend endpoint") | ||
| return jsonify({"success": False, "message": "An internal error has occurred."}), 500 | ||
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| if __name__ == '__main__': | ||
| app.run(debug=True, host='0.0.0.0', port=5000) |
| return jsonify({"success": False, "message": str(e)}), 400 | ||
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| if __name__ == '__main__': | ||
| app.run(debug=True, host='0.0.0.0', port=5000) No newline at end of file |
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Flask app is run in debug mode High
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AI 3 months ago
To fix this problem, the Flask application should not be run with debug=True unconditionally. The best practice is to control the debug mode using an environment variable (such as FLASK_DEBUG or a custom variable), or to default to debug=False unless explicitly set otherwise. This ensures that in production environments, debug mode is not enabled, reducing the risk of exposing the interactive debugger. The change should be made in the if __name__ == '__main__': block, replacing the hardcoded debug=True with logic that checks an environment variable (e.g., os.environ.get('FLASK_DEBUG', '0') == '1'). No new imports are needed, as os is already imported.
| @@ -103,4 +103,5 @@ | ||
| return jsonify({"success": False, "message": str(e)}), 400 | ||
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| if __name__ == '__main__': | ||
| app.run(debug=True, host='0.0.0.0', port=5000) | ||
| debug_mode = os.environ.get('FLASK_DEBUG', '0') == '1' | ||
| app.run(debug=debug_mode, host='0.0.0.0', port=5000) |
| The application stores settings in `config/settings.json`. This file is automatically created with default settings on first run. | ||
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| Default backends supported: | ||
| - **OpenAI**: GPT models (GPT-3.5, GPT-4, etc.) |
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| The application stores settings in `config/settings.json`. This file is automatically created with default settings on first run. | ||
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| Default backends supported: | ||
| - **OpenAI**: GPT models (GPT-3.5, GPT-4, etc.) |
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| The application stores settings in `config/settings.json`. This file is automatically created with default settings on first run. | ||
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| Default backends supported: | ||
| - **OpenAI**: GPT models (GPT-3.5, GPT-4, etc.) |
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| # Default configuration | ||
| DEFAULT_CONFIG = { | ||
| "selected_backend": "openai", |
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| DEFAULT_CONFIG = { | ||
| "selected_backend": "openai", | ||
| "backends": { | ||
| "openai": { |
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| test_config = { | ||
| "selected_backend": "anthropic", | ||
| "backends": { | ||
| "openai": {"name": "OpenAI", "api_key": "test-key", "enabled": True}, |
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| initial_backend = initial_config['selected_backend'] | ||
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| # Switch to a different backend | ||
| new_backend = 'anthropic' if initial_backend == 'openai' else 'openai' |
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| initial_backend = initial_config['selected_backend'] | ||
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| # Switch to a different backend | ||
| new_backend = 'anthropic' if initial_backend == 'openai' else 'openai' |
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| "name": "OpenAI", | ||
| "description": "OpenAI's GPT models", | ||
| "api_key": "test-openai-key", | ||
| "model": "gpt-4", |
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| "name": "Anthropic", | ||
| "description": "Anthropic's Claude models", | ||
| "api_key": "test-anthropic-key", | ||
| "model": "claude-3-opus", |
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SYSKEYUP SYSLIB SYSLINK SYSMENU sysparams SYSTEMHAND SYSTEMMENU SYSTEMTIME tabview taef TARG targetentrypoint TARGETLIBS TARGETNAME targetver tbc tbi Tbl TBM TCHAR TCHFORMAT TCI tcommands tdbuild Tdd TDP Teb Techo tellp teraflop terminalcore terminalinput terminalrenderdata TERMINALSCROLLING terminfo testcon testd testenvs testlab testlist testmd testname TESTNULL testpass testpasses TEXCOORD textattribute TEXTATTRIBUTEID textboxes textbuffer TEXTINCLUDE textinfo TEXTMETRIC TEXTMETRICW textmode texttests THUMBPOSITION THUMBTRACK tilunittests titlebars TITLEISLINKNAME TLDP TLEN TMAE TMPF tmultiple tofrom toolbars TOOLINFO TOOLWINDOW TOPDOWNDIB tosign tracelogging traceviewpp trackbar trackpad transitioning Trd TRIMZEROHEADINGS trx tsgr tsm TSTRFORMAT TTBITMAP TTFONT TTFONTLIST TTM TTo tvpp tvtseq TYUI uap uapadmin UAX UBool ucd uch UChars udk uer UError uia UIACCESS uiacore uiautomationcore uielem UINTs uld uldash uldb ulwave Unadvise unattend UNCPRIORITY unexpand unhighlighting unhosted UNICODETEXT UNICRT Unintense unittesting unittests unk unknwn UNORM unparseable untextured UPDATEDISPLAY UPDOWN UPKEY upss uregex URegular usebackq USECALLBACK USECOLOR USECOUNTCHARS USEDEFAULT USEDX USEFILLATTRIBUTE USEGLYPHCHARS USEHICON USEPOSITION userdpiapi Userp userprivapi USERSRV USESHOWWINDOW USESIZE USESTDHANDLES usp USRDLL utext utr UVWXY uwa uwp uwu uxtheme Vanara vararg vclib vcxitems VERCTRL VERTBAR VFT vga vgaoem viewkind VIRAMA Virt VIRTTERM visualstudiosdk vkey VKKEYSCAN VMs VPA vpack vpackdirectory VPACKMANIFESTDIRECTORY VPR VREDRAW vsc vsconfig vscprintf VSCROLL vsdevshell vse vsinfo vsinstalldir vspath VSTAMP vstest VSTS VSTT vswhere vtapp VTE VTID vtmode vtpipeterm VTRGB VTRGBTo vtseq vtterm vttest WANSUNG WANTARROWS WANTTAB wapproj WAVEFORMATEX wbuilder wch wchars WCIA WCIW wcs WCSHELPER wcsrev wcswidth wddm wddmcon WDDMCONSOLECONTEXT wdm webpage websites wekyb wewoad wex wextest WFill wfopen WHelper wic WIDTHSCROLL Widthx Wiggum WImpl WINAPI winbasep wincon winconp winconpty winconptydll winconptylib wincontypes WINCORE windbg WINDEF windir windll WINDOWALPHA windowdpiapi WINDOWEDGE WINDOWINFO windowio WINDOWPLACEMENT windowpos WINDOWPOSCHANGED WINDOWPOSCHANGING windowproc windowrect windowsapp WINDOWSIZE windowsshell windowsterminal windowtheme winevent winget wingetcreate WINIDE winmd winmgr winmm WINMSAPP winnt Winperf WInplace winres winrt winternl winui winuser WINVER wistd wmain WMSZ wnd WNDALLOC WNDCLASS WNDCLASSEX WNDCLASSEXW WNDCLASSW Wndproc WNegative WNull wordi wordiswrapped workarea WOutside WOWARM WOWx wparam WPartial wpf wpfdotnet WPR WPrep WPresent wprp wprpi wrappe wregex writeback WRITECONSOLE WRITECONSOLEINPUT WRITECONSOLEOUTPUT WRITECONSOLEOUTPUTSTRING wrkstr WRL wrp WRunoff WSLENV wstr wstrings wsz wtd WTest WTEXT WTo wtof WTs WTSOFTFONT wtw Wtypes WUX WVerify WWith wxh wyhash wymix wyr xact Xamlmeta xamls xaz xbf xbutton XBUTTONDBLCLK XBUTTONDOWN XBUTTONUP XCast XCENTER xcopy XCount xdy XEncoding xes XFG XFile XFORM XIn xkcd XManifest XMath XNamespace xorg XPan XResource xsi xstyler XSubstantial XTest XTPOPSGR XTPUSHSGR xtr XTWINOPS xunit xutr XVIRTUALSCREEN yact YCast YCENTER YCount yizz YLimit YPan YSubstantial YVIRTUALSCREEN zabcd Zabcdefghijklmn Zabcdefghijklmnopqrstuvwxyz ZCmd ZCtrl ZWJs ZYXWVU ZYXWVUT ZYXWVUTd zzfSome files were automatically ignored 🙈These sample patterns would exclude them: You should consider excluding directory paths (e.g. You should consider adding them to: File matching is via Perl regular expressions. To check these files, more of their words need to be in the dictionary than not. You can use To accept these unrecognized words as correct, update file exclusions, and remove the previously acknowledged and now absent words, you could run the following commands... in a clone of the git@github.com:SoftwareDevLabs/SDLC_core.git repository curl -s -S -L 'https://raw.githubusercontent.com/check-spelling/check-spelling/v0.0.25/apply.pl' |
perl - 'https://github.com/SoftwareDevLabs/SDLC_core/actions/runs/17055009907/attempts/1' &&
git commit -m 'Update check-spelling metadata'OR To have the bot accept them for you, comment in the PR quoting the following line: Forbidden patterns 🙅 (1)In order to address this, you could change the content to not match the forbidden patterns (comments before forbidden patterns may help explain why they're forbidden), add patterns for acceptable instances, or adjust the forbidden patterns themselves. These forbidden patterns matched content: Should be
|
| ❌ Errors, Warnings, and Notices | Count |
|---|---|
| 49 | |
| ℹ️ candidate-pattern | 15 |
| ❌ check-file-path | 17 |
| ❌ forbidden-pattern | 1 |
See ❌ Event descriptions for more information.
✏️ Contributor please read this
By default the command suggestion will generate a file named based on your commit. That's generally ok as long as you add the file to your commit. Someone can reorganize it later.
If the listed items are:
- ... misspelled, then please correct them instead of using the command.
- ... names, please add them to
.github/actions/spelling/allow/names.txt. - ... APIs, you can add them to a file in
.github/actions/spelling/allow/. - ... just things you're using, please add them to an appropriate file in
.github/actions/spelling/expect/. - ... tokens you only need in one place and shouldn't generally be used, you can add an item in an appropriate file in
.github/actions/spelling/patterns/.
See the README.md in each directory for more information.
🔬 You can test your commits without appending to a PR by creating a new branch with that extra change and pushing it to your fork. The check-spelling action will run in response to your push -- it doesn't require an open pull request. By using such a branch, you can limit the number of typos your peers see you make. 😉
If the flagged items are 🤯 false positives
If items relate to a ...
-
binary file (or some other file you wouldn't want to check at all).
Please add a file path to the
excludes.txtfile matching the containing file.File paths are Perl 5 Regular Expressions - you can test yours before committing to verify it will match your files.
^refers to the file's path from the root of the repository, so^README\.md$would exclude README.md (on whichever branch you're using). -
well-formed pattern.
If you can write a pattern that would match it,
try adding it to thepatterns.txtfile.Patterns are Perl 5 Regular Expressions - you can test yours before committing to verify it will match your lines.
Note that patterns can't match multiline strings.
This PR implements a comprehensive web-based frontend GUI for selecting and configuring LLM backends in the SDLC_core infrastructure, addressing the need for a user-friendly settings interface.
🎯 What was implemented
Dashboard Interface (
/)Settings Page (
/settings)Backend Support
🛠️ Technical Details
The implementation uses:
🚀 Usage
The GUI provides exactly what was requested in the issue - a settings interface where users can select their preferred LLM backend option, similar to modern configuration interfaces. Users can now easily switch between OpenAI and Anthropic backends, configure API keys, and manage all LLM infrastructure settings through an intuitive web interface instead of manual configuration files.
📁 Files Added
src/frontend/app.py- Main Flask application with API endpointssrc/frontend/templates/- HTML templates for dashboard and settingssrc/frontend/test_app.py- Complete test suiterun_frontend.py- Application launcher scriptFixes SoftwareDevLabs/frontend#2.
💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.