v0.13.0 - Add Consumption Sheets module

New module for tracking production consumption with lot scanning:
- Admin configuration for process types (AD WIP, etc.)
- Dynamic table creation per process
- Flexible header/detail field definitions with Excel cell mapping
- Duplicate detection with configurable key field
- Staff scanning interface with duplicate warnings (same session/cross session)
- Excel export using uploaded templates with multi-page support
- Template settings for rows per page and detail start row

database/init_db.py

@@ -198,6 +198,7 @@ def init_database():
         field_type TEXT NOT NULL CHECK(field_type IN ('TEXT', 'INTEGER', 'REAL', 'DATE', 'DATETIME')),
         max_length INTEGER,
         is_required INTEGER DEFAULT 0,
+        is_duplicate_key INTEGER DEFAULT 0,
         is_active INTEGER DEFAULT 1,
         sort_order INTEGER DEFAULT 0,
         excel_cell TEXT,
@@ -219,6 +220,7 @@ def init_database():
     )
     ''')
     
+    # Note: Header values still use flexible key-value storage
     # cons_session_header_values - Flexible storage for header field values
     cursor.execute('''
     CREATE TABLE IF NOT EXISTS cons_session_header_values (
@@ -231,24 +233,9 @@ def init_database():
     )
     ''')
     
-    # cons_session_details - Scanned lot details
-    cursor.execute('''
-    CREATE TABLE IF NOT EXISTS cons_session_details (
-        id INTEGER PRIMARY KEY AUTOINCREMENT,
-        session_id INTEGER NOT NULL,
-        item_number TEXT,
-        lot_number TEXT NOT NULL,
-        weight REAL,
-        scanned_by INTEGER NOT NULL,
-        scanned_at DATETIME DEFAULT CURRENT_TIMESTAMP,
-        duplicate_status TEXT DEFAULT 'normal' CHECK(duplicate_status IN ('normal', 'dup_same_session', 'dup_other_session')),
-        duplicate_info TEXT,
-        comment TEXT,
-        is_deleted INTEGER DEFAULT 0,
-        FOREIGN KEY (session_id) REFERENCES cons_sessions(id),
-        FOREIGN KEY (scanned_by) REFERENCES Users(user_id)
-    )
-    ''')
+    # Note: Detail tables are created dynamically per process as cons_proc_{process_key}_details
+    # They include system columns (id, session_id, scanned_by, scanned_at, duplicate_status, 
+    # duplicate_info, comment, is_deleted) plus custom fields defined in cons_process_fields
     
     # Create Indexes
     # MASTER baseline indexes
@@ -271,8 +258,7 @@ def init_database():
     cursor.execute('CREATE INDEX IF NOT EXISTS idx_cons_process_fields_active ON cons_process_fields(process_id, is_active)')
     cursor.execute('CREATE INDEX IF NOT EXISTS idx_cons_sessions_process ON cons_sessions(process_id, status)')
     cursor.execute('CREATE INDEX IF NOT EXISTS idx_cons_sessions_user ON cons_sessions(created_by, status)')
-    cursor.execute('CREATE INDEX IF NOT EXISTS idx_cons_session_details_session ON cons_session_details(session_id, is_deleted)')
-    cursor.execute('CREATE INDEX IF NOT EXISTS idx_cons_session_details_lot ON cons_session_details(lot_number)')
+    # Note: Detail table indexes are created dynamically when process tables are created
     
     conn.commit()
     conn.close()