fix: Add missing columns to daily_workflow_plans table

- Added generation_mode column (VARCHAR, default: 'llm_generation')
- Added committee_agent_count column (INTEGER, default: 0)
- Added fallback_used column (BOOLEAN, default: 0)

Also fixed:
- Imported daily_workflow_models in services/database.py to ensure models are registered
- Added _create_daily_workflow_tables() to database setup
- Created migration script to add columns to 35 existing databases
- Fixed WorkflowError type in frontend to use constructor for proper 'name' property

This resolves the 'no such column' sqlite3 errors when accessing the today-workflow API.

backend/debug_schema.py

@@ -0,0 +1,57 @@
+#!/usr/bin/env python
+"""Debug script to check database schema."""
+import os
+import sys
+sys.path.insert(0, '.')
+
+# Set up logging
+os.environ['ALWRITY_VERBOSE'] = 'true'
+
+from models.enhanced_strategy_models import Base
+from models.daily_workflow_models import DailyWorkflowPlan, DailyWorkflowTask, TaskHistory
+
+# Check what tables are registered with EnhancedStrategyBase
+print("Tables registered with EnhancedStrategyBase:")
+for table_name in Base.metadata.tables:
+    print(f"  - {table_name}")
+    if 'daily' in table_name:
+        table = Base.metadata.tables[table_name]
+        print(f"    Columns: {[col.name for col in table.columns]}")
+
+# Now create the tables
+from services.database import get_engine_for_user
+
+test_user_id = "debug_test_user_12345"
+engine = get_engine_for_user(test_user_id)
+
+print(f"\nCreating tables for test user: {test_user_id}")
+Base.metadata.create_all(bind=engine)
+
+print("\n✅ Tables created successfully!")
+
+# Verify the tables exist
+import sqlite3
+from services.database import get_user_db_path
+
+db_path = get_user_db_path(test_user_id)
+print(f"\nDatabase path: {db_path}")
+
+if os.path.exists(db_path):
+    conn = sqlite3.connect(db_path)
+    cursor = conn.cursor()
+    
+    cursor.execute("SELECT name FROM sqlite_master WHERE type='table'")
+    tables = [row[0] for row in cursor.fetchall()]
+    print(f"Tables in database: {tables}")
+    
+    if 'daily_workflow_plans' in tables:
+        cursor.execute("PRAGMA table_info(daily_workflow_plans)")
+        columns = cursor.fetchall()
+        col_names = [col[1] for col in columns]
+        print(f"\nColumns in daily_workflow_plans:")
+        for col in columns:
+            print(f"  - {col[1]} ({col[2]})")
+    
+    conn.close()
+else:
+    print(f"❌ Database not found at {db_path}")