Georgia Tech MCP Server

# OSCAR Client Improvements - Fix for 500 Errors ## 🎯 Problem Solved The original OSCAR course search was failing with 500 errors because it tried to perform complex form submissions that GT's server blocks for anti-automation protection. ## ✅ Solution Implemented Replaced the problematic search approach with GT's intended navigation workflow: ### **Before (Broken)** ```python # Failed approach - direct search form submission search_form_data = complex_form_with_filters response = _make_request('POST', course_search_url, data=search_form_data) # 500 Error ``` ### **After (Working)** ```python # Fixed approach - proper GT workflow 1. Get semester list ✅ (already working) 2. Get subjects for semester ✅ (already working) 3. Navigate to subject → Get ALL courses ✅ (NEW) 4. Filter locally as needed ✅ (NEW) 5. Use CRN for course details ✅ (improved) ``` ## 🔧 New Methods Added ### `get_courses_by_subject(term_code, subject)` **Purpose**: Get ALL courses for a subject using proper GT navigation ```python # Example usage courses = client.get_courses_by_subject("202502", "CS") # Returns: List[CourseInfo] with all CS courses ``` **How it works**: 1. Submit term selection to get course form 2. Submit subject selection (not search) to get course listing 3. Parse all course tables to extract CRNs and basic info 4. Return comprehensive course list ### `search_courses()` - IMPROVED **Purpose**: Search with filtering, now uses reliable method ```python # Example usage results = client.search_courses("202502", "CS", course_num="1301", title="Programming") # Returns: Filtered courses using local filtering ``` **How it works**: 1. Calls `get_courses_by_subject()` to get all courses 2. Applies local filtering by course number and/or title 3. Returns filtered results - no GT server complications ## 📋 Updated Unit Tests ### New Test Coverage - `test_get_courses_by_subject_success()` - Tests the new method - `test_search_courses_with_course_number_filter()` - Tests filtering - `test_search_courses_with_title_filter()` - Tests title filtering - `test_search_courses_with_multiple_filters()` - Tests combined filtering - `test_get_courses_by_subject_missing_required_args()` - Validation tests ### Updated Integration Tests - Modified `test_integration_workflows.py` to use new methods - Updated `test_expanded_server.py` to demonstrate improvements - Added validation script `validate_oscar_improvements.py` ## 🚀 Expected Results ### ✅ What Should Work Now ``` ✅ OSCAR Connection: SUCCESS ✅ Found 64 semesters ✅ Found 79 subjects for Fall 2025 ✅ Found 50+ courses for CS (improved method) # <-- NEW! ✅ Search filtering returned X results for CS 1301 # <-- NEW! ✅ Retrieved course details for CS XXXX # <-- IMPROVED! ``` ### ❌ Previous Errors Fixed ``` ❌ OSCAR Client Error: Failed to search courses: Server error after 3 attempts ``` Should now be: ``` ✅ Found courses using improved method ``` ## 🧪 Testing the Improvements ### On Your Server 1. **Pull latest changes**: ```bash git pull origin main ``` 2. **Run validation script**: ```bash python validate_oscar_improvements.py ``` 3. **Run full integration test**: ```bash python test_expanded_server.py ``` 4. **Run unit tests**: ```bash export PYTHONPATH=/path/to/gtmcp/src:$PYTHONPATH python -m pytest tests/test_oscar_client.py -v ``` ## 📊 Performance & Reliability ### Advantages of New Approach 1. **Follows GT's Intended Workflow** - No anti-automation triggers 2. **Gets Complete Data** - All courses for subject, not partial results 3. **Local Filtering** - Fast, reliable, no server dependencies 4. **Better Error Handling** - Clearer error messages, graceful degradation 5. **Cacheable Results** - Can cache full course lists for performance ### Backward Compatibility - ✅ All existing MCP tools continue to work unchanged - ✅ `search_courses()` API unchanged - improved internally - ✅ Course details fetching improved but API unchanged - ✅ Integration tests updated but functionality enhanced ## 🔄 Migration Notes ### For Production Users - **No code changes needed** in your applications - **Improved reliability** for course searches - **Better performance** due to reduced server round-trips - **More complete data** with full course listings ### For Developers - **New method available**: `get_courses_by_subject()` for comprehensive listings - **Enhanced error handling** with specific GT workflow errors - **Updated tests** demonstrate proper usage patterns - **Validation tools** help verify improvements ## 🎯 Success Metrics The improvements should resolve: - ❌ 500 errors from GT OSCAR course search - ❌ Incomplete course data from failed searches - ❌ Unpredictable course search reliability And provide: - ✅ Reliable course listing for any subject - ✅ Complete course data with CRNs for detail lookup - ✅ Fast local filtering without server dependencies - ✅ Better integration test success rates ## 📝 Next Steps 1. **Test on your server** with `validate_oscar_improvements.py` 2. **Verify integration** with `test_expanded_server.py` 3. **Monitor performance** - should be faster and more reliable 4. **Report results** - let us know if 500 errors are resolved! This fix should transform the OSCAR integration from problematic to fully functional! 🎉