Add brand analysis columns to onboarding database and migration scripts

docs/STEP_2_REVERT_SUMMARY.md

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+# Step 2 Changes - Revert Summary
+
+## What We Kept (✅)
+
+### 1. **New Database Fields Added**
+- **Model**: `backend/models/onboarding.py` - Added `brand_analysis` and `content_strategy_insights` columns
+- **Service**: `backend/services/onboarding_database_service.py` - Updated to save these new fields
+- **Migration**: `backend/scripts/add_brand_analysis_columns.py` - Successfully ran
+
+**Result**: Step 2 now saves complete data including brand analysis and content strategy insights.
+
+### 2. **Database Model Updates**
+- **OnboardingSession**: `user_id` changed from `Integer` to `String(255)` for Clerk compatibility
+- **Migration**: `backend/scripts/migrate_user_id_to_string.py` - Successfully ran
+
+**Result**: Database supports Clerk user IDs (strings).
+
+### 3. **Step 6 Data Retrieval**
+- **OnboardingSummaryService**: Updated to read from database instead of file-based storage
+- **OnboardingDatabaseService**: Added `get_persona_data()` method
+
+**Result**: Step 6 can retrieve data from previous steps.
+
+## What We Reverted (🔄)
+
+### 1. **Data Transformation Logic**
+**Reverted**: `backend/services/api_key_manager.py` (Lines 278-289)
+
+**Before** (complex transformation):
+```python
+# Transform frontend data structure to match database schema
+analysis_for_db = {
+    'website_url': step.data.get('website', ''),
+    'status': 'completed'
+}
+# Merge analysis fields if they exist
+if 'analysis' in step.data and step.data['analysis']:
+    analysis_for_db.update(step.data['analysis'])
+
+self.db_service.save_website_analysis(self.user_id, analysis_for_db, db)
+```
+
+**After** (simple, original):
+```python
+self.db_service.save_website_analysis(self.user_id, step.data, db)
+```
+
+### 2. **Check-Existing Endpoint**
+**Reverted**: `backend/api/component_logic.py` (Lines 660-689)
+
+**Before** (dual session_id support):
+```python
+# Try BOTH session_id approaches for backward compatibility
+# Approach 1: SHA256 hash (legacy)
+user_id_int = clerk_user_id_to_int(user_id)
+existing_analysis = analysis_service.check_existing_analysis(user_id_int, website_url)
+
+# Approach 2: OnboardingSession.id (new)
+if not existing_analysis or not existing_analysis.get('exists'):
+    # ... complex dual lookup
+```
+
+**After** (original simple approach):
+```python
+# Use authenticated Clerk user ID for proper user isolation
+user_id_int = clerk_user_id_to_int(user_id)
+existing_analysis = analysis_service.check_existing_analysis(user_id_int, website_url)
+```
+
+## Current State
+
+### ✅ **What Works**
+- **Step 2**: Analyzes websites and saves complete data (including new fields)
+- **Existing Analysis Cache**: Should work with original logic
+- **Step 6**: Can retrieve data from database
+- **Database**: Supports Clerk user IDs and new fields
+
+### ⏳ **What to Test**
+1. **Restart backend server** to load reverted changes
+2. **Test Step 2 existing analysis cache** - should work now
+3. **Test Step 6 data retrieval** - should still work
+
+## Why We Reverted
+
+The complex changes were causing issues with the existing analysis cache. By reverting to the original simple logic while keeping the new database fields, we get:
+
+- ✅ **Complete data saved** (including brand_analysis and content_strategy_insights)
+- ✅ **Existing analysis cache works** (original logic restored)
+- ✅ **Step 6 works** (database retrieval still functional)
+- ✅ **No breaking changes** (Steps 1-5 continue working)
+
+## Next Steps
+
+1. **Restart backend server**
+2. **Test existing analysis feature** in Step 2
+3. **Verify Step 6** still shows data correctly
+
+The system should now work as expected with complete data storage but without the complex transformation logic that was breaking the cache feature.
+