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Pull Request Overview
This PR introduces comprehensive Multiple Choice Question (MCQ) support and upgrades the AI model from Gemini 2.5 Pro Experimental to the stable Gemini 2.5 Pro. The implementation adds automatic detection of MCQ vs coding problems, with specialized processing pipelines for each type while maintaining backward compatibility.
Key changes include:
- Complete MCQ detection and processing with unified schema architecture
- AI model upgrade to stable Gemini 2.5 Pro for improved reliability
- Screen sharing compatibility fixes for presentation scenarios
Reviewed Changes
Copilot reviewed 10 out of 10 changed files in this pull request and generated 3 comments.
Show a summary per file
| File | Description |
|---|---|
| src/types/index.ts | Updated AppState to use UnifiedProblemSchema |
| src/types/ProblemInfo.ts | Added MCQSchema and UnifiedProblemSchema interfaces |
| src/renderer/features/solution/index.tsx | Enhanced UI to render MCQ questions with options and answers |
| src/main/processor/index.ts | Updated processor routing to handle unified schema |
| src/main/processor/OpenAIHandler.ts | Modified to return UnifiedProblemSchema format |
| src/main/processor/GeminiHandler.ts | Complete rewrite with MCQ detection and unified schema support |
| src/main/main.ts | Added screen sharing compatibility flags |
| src/main/helper/MainWindowHelper.ts | Modified window settings for screen capture support |
| src/constant.ts | Updated default Gemini model configuration |
| package.json | Added platform-specific build scripts |
| problemInfo, | ||
| problemInfo.coding_data, | ||
| signal, | ||
| ); |
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Inconsistent parameter passing between OpenAI and Gemini handlers. OpenAI handler receives problemInfo.coding_data and signal, but Gemini handler receives modelName and problemInfo. This will cause the Gemini handler to fail since it expects UnifiedProblemSchema but the function signature shows it should receive the coding data directly.
| problemInfo: UnifiedProblemSchema, | ||
| ): Promise<SolutionSchema> { | ||
| const { geminiApiKey } = stateManager.getState(); // Get Gemini key | ||
| if (!geminiApiKey) { | ||
| throw new Error('Gemini API key not set'); | ||
| } | ||
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| // Only generate solutions for coding problems | ||
| if (problemInfo.type !== 'coding' || !problemInfo.coding_data) { | ||
| throw new Error('Solution generation is only available for coding problems'); | ||
| } | ||
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| const codingData = problemInfo.coding_data; | ||
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The generateSolutionResponses function signature is inconsistent with the OpenAI handler. It should accept ProblemSchema (coding_data) directly like the OpenAI handler, rather than UnifiedProblemSchema, since the validation is already done in the processor index.
| problemInfo: UnifiedProblemSchema, | |
| ): Promise<SolutionSchema> { | |
| const { geminiApiKey } = stateManager.getState(); // Get Gemini key | |
| if (!geminiApiKey) { | |
| throw new Error('Gemini API key not set'); | |
| } | |
| // Only generate solutions for coding problems | |
| if (problemInfo.type !== 'coding' || !problemInfo.coding_data) { | |
| throw new Error('Solution generation is only available for coding problems'); | |
| } | |
| const codingData = problemInfo.coding_data; | |
| codingData: ProblemSchema, | |
| ): Promise<SolutionSchema> { | |
| const { geminiApiKey } = stateManager.getState(); // Get Gemini key | |
| if (!geminiApiKey) { | |
| throw new Error('Gemini API key not set'); | |
| } |
| } | ||
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| // Handle coding problems (existing logic) | ||
| const codingData = problemInfo?.type === 'coding' ? problemInfo.coding_data : null; |
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The fallback logic for legacy problemInfo is incomplete. If problemInfo doesn't have a type property (legacy format), this will set codingData to null even for valid coding problems. Consider adding a fallback: const codingData = problemInfo?.type === 'coding' ? problemInfo.coding_data : (problemInfo?.type ? null : problemInfo as ProblemSchema);
1 participant
🚀 Feature Update: MCQ Support & Gemini Model Upgrade
📋 Summary
This pull request introduces major enhancements to the Open Interview Coder application, adding support for Multiple Choice Questions (MCQ) and upgrading the AI model for better reliability and performance.
✨ Key Features Added
🎯 Multiple Choice Question (MCQ) Support
UnifiedProblemSchemato handle both MCQ and coding problems seamlessly🤖 AI Model Upgrade
🛠️ Technical Improvements
📁 Files Modified
Core Processing (
src/main/processor/)GeminiHandler.ts: Complete rewrite with MCQ schema support and Gemini 2.5 Pro integrationOpenAIHandler.ts: Updated to support unified problem schemaindex.ts: Enhanced processor routing logicType Definitions (
src/types/)ProblemInfo.ts: AddedMCQSchemaandUnifiedProblemSchemainterfacesindex.ts: Updated exports for new typesUser Interface (
src/renderer/)features/solution/index.tsx: Enhanced UI to display MCQ questions and answersConfiguration & Setup
package.json: Updated packaging scripts and dependenciessrc/main/main.ts: Added screen sharing compatibility flagssrc/main/helper/MainWindowHelper.ts: Modified window settings for better screen capture supportsrc/constant.ts: Updated default model configuration🧪 Testing
MCQ Functionality
Coding Problems
Cross-Platform
📊 Statistics
🔄 Migration Notes
For Users
For Developers
UnifiedProblemSchemareplaces individual schemas in some contextsgemini-2.0-flash-exptogemini-2.0-flash-thinking-exp-1219🚦 API Changes
New Response Format
MCQ Schema
🔮 Future Enhancements
⚡ Performance Impact
Ready for Review ✅
Tested Across Platforms ✅
Backward Compatible ✅
Documentation Updated ✅