CSV Column Consistency Fix

CSV Column Consistency Fix

Version Implemented: 0.229.001

Issue Description

When tabular data files (like credit card statements, financial reports) had inconsistent column counts in their CSV format, the frontend DataTables component would fail with a "DataTables warning: table id=DataTables_Table_5 - Incorrect column count" error.

Root Cause

Complex tabular data often has:

• Header rows with full column definitions (e.g., 13 columns)
• Data rows with varying amounts of data (some only 2-3 columns)
• Summary rows with minimal data

This created inconsistent row structures that DataTables couldn't handle gracefully.

Example Problem Data

Transaction Details,Delta SkyMiles® Reserve Card,Unnamed: 2,Unnamed: 3,...,Unnamed: 12
Prepared for,,,,,,,,,,,,
PAUL LIZER,,,,,,,,,,,,
Account Number,,,,,,,,,,,,
Date,Description,Card Member,Account #,Amount,Extended Details,...
08/30/2025,AplPay PANERA BREAD,PAUL LIZER,-51008,12.49,"Extended details",...

In this example:

• Header: 13 columns
• Summary rows: Only 1-2 columns with data
• Data rows: Full 13 columns

Solution Implemented

Frontend Enhancement (chat-input-actions.js)

Enhanced the CSV parsing logic to normalize column counts:

// Ensure all rows have the same number of columns as headers
while (cells.length < headerCount) {
  cells.push(''); // Add empty cells for missing columns
}
// Truncate if there are too many columns (safety check)
if (cells.length > headerCount) {
  cells.splice(headerCount);
}

Key Improvements

1. Column Count Normalization: All rows are padded to match header column count
2. Empty Cell Padding: Missing columns are filled with empty strings
3. Overflow Protection: Extra columns are truncated if present
4. DataTables Compatibility: Ensures consistent table structure for rendering

Testing

Added comprehensive test coverage in test_tabular_data_csv_storage_fix.py:

• Tests inconsistent column count scenarios
• Validates column normalization logic
• Ensures empty cell padding works correctly

Impact

• ✅ Fixed DataTables Errors: No more "Incorrect column count" warnings
• ✅ Better Data Display: Complex financial/activity data renders correctly
• ✅ Maintained Performance: Minimal processing overhead
• ✅ Backward Compatibility: Works with existing data formats

Files Modified

• static/js/chat/chat-input-actions.js - Enhanced CSV parsing logic
• functional_tests/test_tabular_data_csv_storage_fix.py - Added test coverage
• config.py - Updated version to 0.226.100

Version

Fixed in version: 0.226.100