Fix hyperparameter parsing for read-only mode

- Improved CSV parsing logic for hyperparameters with empty type cells
- Enhanced read-only mode sheet access with multiple URL formats and GID mapping
- Added debug logging to identify parameter type mismatches
- Fixed UnboundLocalError for max_size variable
- Fixed unused variable warnings

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

poly_data/data_utils.py

@@ -151,7 +151,18 @@ def update_markets():
     if len(received_df) > 0:
         global_state.df, global_state.params = received_df.copy(), received_params
     
-    for idx, row in global_state.df.iterrows():
+    # Debug: Show what param_types are in the markets data
+    if 'param_type' in received_df.columns:
+        param_types_used = received_df['param_type'].unique()
+        print(f"DEBUG: param_types used in markets: {param_types_used}")
+        print(f"DEBUG: Available hyperparameter types: {list(received_params.keys())}")
+        
+        # Check for mismatches
+        missing_params = [pt for pt in param_types_used if pt not in received_params.keys()]
+        if missing_params:
+            print(f"WARNING: Missing hyperparameters for param_types: {missing_params}")
+
+    for _, row in global_state.df.iterrows():
         for col in ['token1', 'token2']:
             row[col] = str(row[col])
 

poly_data/utils.py

@@ -44,7 +44,24 @@ def get_sheet_df(read_only=None):
     hyperparams, current_type = {}, None
 
     for r in records:
-        current_type = r['type'] or current_type
+        # Update current_type only when we have a non-empty type value
-        hyperparams.setdefault(current_type, {})[r['param']] = r['value']
+        if r['type'] and r['type'].strip():
+            current_type = r['type'].strip()
         
+        # Skip rows where we don't have a current_type set
+        if current_type:
+            # Convert numeric values to appropriate types
+            value = r['value']
+            try:
+                # Try to convert to float if it's numeric
+                if isinstance(value, str) and value.replace('.', '').replace('-', '').isdigit():
+                    value = float(value)
+                elif isinstance(value, (int, float)):
+                    value = float(value)
+            except (ValueError, TypeError):
+                pass  # Keep as string if conversion fails
+            
+            hyperparams.setdefault(current_type, {})[r['param']] = value
+
+    print(f"DEBUG: Loaded hyperparameters: {hyperparams}")
     return result, hyperparams

trading.py

@@ -119,6 +119,8 @@ async def perform_trade(market):
 
             # Get trading parameters for this market type
             params = global_state.params[row['param_type']]
+            print(f"DEBUG: Using param_type: {row['param_type']}, Available params: {params}")
+            print(f"DEBUG: All available param types: {list(global_state.params.keys())}")
             
             # Create a list with both outcomes for the market
             deets = [