CLAUDE.md

@@ -54,13 +54,18 @@ The project uses Python 3.13+ with uv for dependency management. Dependencies in
 
 The tool compares Excel data by:
 1. **Sheet-specific analysis only** - No more "All Sheets" functionality, each sheet is analyzed independently
-2. Finding columns by header names (not positions)
+2. **Fixed column positions** - KST data from columns I & J, Coordi data from columns C & D
 3. Extracting title+episode combinations from both datasets within the selected sheet
 4. **Fixed duplicate detection** - Only items that appear multiple times within the same dataset are marked as duplicates
 5. **Mixed duplicate priority** - Items that exist in both datasets but have duplicates on one side are prioritized over pure duplicates
 6. Categorizing mismatches and calculating reconciliation
 7. Displaying results with reasons for each discrepancy
 
+## Column Mapping
+
+- **KST Data**: Column I (title) and Column J (chapter/episode)
+- **Coordi Data**: Column C (title) and Column D (chapter/episode)
+
 ### BA Confirmed Cases
 - **US URGENT**: `금수의 영역 - Episode 17`, `신결 - Episode 23` (Coordi duplicates), `트윈 가이드 - Episode 31` (mixed duplicate)
 - **TH URGENT**: `백라이트 - Episode 53-1x(휴재)` (KST duplicate, doesn't appear in Coordi)

data_comparator.py

@@ -43,7 +43,7 @@ class KSTCoordiComparator:
             return False
     
     def extract_kst_coordi_items_for_sheet(self, sheet_name: str) -> Dict[str, Any]:
-        """Extract KST and Coordi items from a specific sheet using column header names"""
+        """Extract KST and Coordi items from a specific sheet using fixed column positions"""
         if sheet_name not in self.data:
             raise ValueError(f"Sheet '{sheet_name}' not found in data")
         
@@ -57,32 +57,43 @@ class KSTCoordiComparator:
         kst_all_items = []  # Keep all items including duplicates
         coordi_all_items = []  # Keep all items including duplicates
         
-        # Find columns by header names
+        # Try fixed column positions first, then fall back to header names
-        # KST columns: 'Title KR' and 'Epi.'
+        # KST columns: I (index 8) for title, J (index 9) for chapter
-        # Coordi columns: 'KR title' and 'Chap'
+        # Coordi columns: C (index 2) for title, D (index 3) for chapter
         
-        kst_title_col = None
+        kst_title_col_idx = 8  # Column I
-        kst_episode_col = None
+        kst_episode_col_idx = 9  # Column J
-        coordi_title_col = None
+        coordi_title_col_idx = 2  # Column C
-        coordi_episode_col = None
+        coordi_episode_col_idx = 3  # Column D
         
-        # Find KST columns
+        # Get column names by index (if they exist)
-        for col in columns:
+        kst_title_col = columns[kst_title_col_idx] if len(columns) > kst_title_col_idx else None
-            if col == 'Title KR':
+        kst_episode_col = columns[kst_episode_col_idx] if len(columns) > kst_episode_col_idx else None
-                kst_title_col = col
+        coordi_title_col = columns[coordi_title_col_idx] if len(columns) > coordi_title_col_idx else None
-            elif col == 'Epi.':
+        coordi_episode_col = columns[coordi_episode_col_idx] if len(columns) > coordi_episode_col_idx else None
-                kst_episode_col = col
         
-        # Find Coordi columns
+        # Fallback: search by header names if fixed positions don't work
-        for col in columns:
+        if not kst_title_col or not kst_episode_col:
-            if col == 'KR title':
+            for i, col in enumerate(columns):
-                coordi_title_col = col
+                if col == 'Title KR':
-            elif col == 'Chap':
+                    kst_title_col = col
-                coordi_episode_col = col
+                    kst_title_col_idx = i
+                elif col == 'Epi.':
+                    kst_episode_col = col  
+                    kst_episode_col_idx = i
+        
+        if not coordi_title_col or not coordi_episode_col:
+            for i, col in enumerate(columns):
+                if col == 'KR title':
+                    coordi_title_col = col
+                    coordi_title_col_idx = i
+                elif col == 'Chap':
+                    coordi_episode_col = col
+                    coordi_episode_col_idx = i
         
         print(f"Sheet: {sheet_name}")
-        print(f"  KST columns - Title: {kst_title_col}, Episode: {kst_episode_col}")
+        print(f"  KST columns - Title: Column {chr(65 + kst_title_col_idx) if kst_title_col else 'None'} ({kst_title_col}), Episode: Column {chr(65 + kst_episode_col_idx) if kst_episode_col else 'None'} ({kst_episode_col})")
-        print(f"  Coordi columns - Title: {coordi_title_col}, Episode: {coordi_episode_col}")
+        print(f"  Coordi columns - Title: Column {chr(65 + coordi_title_col_idx) if coordi_title_col else 'None'} ({coordi_title_col}), Episode: Column {chr(65 + coordi_episode_col_idx) if coordi_episode_col else 'None'} ({coordi_episode_col})")
         
         # Extract items from each row
         for idx, row in df.iterrows():

templates/index.html

@@ -279,7 +279,8 @@
         
         function analyzeData() {
             const filePath = document.getElementById('filePath').value;
-            const sheetFilter = document.getElementById('sheetFilter').value;
+            const sheetFilterElement = document.getElementById('sheetFilter');
+            const sheetFilter = sheetFilterElement.value || null; // Use null if empty
             const statusDiv = document.getElementById('status');
             const analyzeBtn = document.getElementById('analyzeBtn');
             
@@ -328,6 +329,18 @@
             const select = document.getElementById('sheetFilter');
             select.innerHTML = '';
             
+            // Add a default option if no sheets are available yet
+            if (!sheetNames || sheetNames.length === 0) {
+                const option = document.createElement('option');
+                option.value = '';
+                option.textContent = 'Loading sheets...';
+                option.disabled = true;
+                option.selected = true;
+                select.appendChild(option);
+                select.disabled = true;
+                return;
+            }
+            
             sheetNames.forEach((sheetName, index) => {
                 const option = document.createElement('option');
                 option.value = sheetName;
@@ -390,7 +403,8 @@
                     document.getElementById('filePath').value = data.file_path;
                     statusDiv.innerHTML = '<div class="loading">File uploaded! Analyzing data...</div>';
                     
-                    // Analyze the uploaded file (use default sheet for new uploads)
+                    // Clear sheet filter for new file (let it default to first sheet)
+                    const sheetFilterElement = document.getElementById('sheetFilter');
                     const sheetFilter = null; // Always use default (first sheet) for new uploads
                     return fetch('/analyze', {
                         method: 'POST',
@@ -575,6 +589,8 @@
         
         // Auto-analyze on page load with default file
         window.onload = function() {
+            // Initialize sheet filter with loading state
+            updateSheetFilter([], null);
             analyzeData();
         };
     </script>