Fix critical bugs: type conversion errors, variable shadowing, PDF generation logic, and function naming

[Copilot]

This PR addresses several critical bugs that would cause runtime crashes when processing Excel files with mixed data types.

Critical Issues Fixed

1. Type Conversion Crash in part1.py

The original filter logic would crash on non-numeric data:

# Before - crashes on text/mixed data
numbers = list(filter(lambda x: int(x) != None, letters))

# After - gracefully handles mixed data types
numbers = []
for x in letters:
    try:
        num = float(x)  # Use float to handle both int and decimal numbers
        numbers.append(num)
    except (ValueError, TypeError):
        continue  # Skip non-numeric values

2. Variable Shadowing Issues

Both files were using sum as a variable name, shadowing Python's built-in sum() function:

# Before
sum = 0
for i in numbers:
    sum += i

# After  
total = 0
for i in numbers:
    total += i

3. PDF Generation Logic Error

The PDF was being generated inside the loop, creating multiple PDFs instead of one comprehensive report:

# Before - creates PDF for each sheet
for sh in range(len(sheets)):
    # ... processing ...
    report_pdf_file(doch)  # Called inside loop

# After - creates one PDF at the end
for sh in range(len(sheets)):
    # ... processing ...
report_pdf_file(doch)  # Called once after loop

4. Division by Zero Protection

Added safeguards against division by zero in average calculations:

# Before
total /= index

# After
if index > 0:
    total /= index
else:
    total = 0  # Handle case with no numeric values

5. Function Naming Fix

Corrected typo in function name from avarage_excel_values to average_excel_values.

Additional Improvements

• Enhanced error handling: All int(cell) conversions in part2.py now use try/catch blocks with float() for better type flexibility
• Added .gitignore: Properly excludes Python cache files and build artifacts
• Comprehensive testing: Verified fixes work with mixed data types (numbers, text, empty cells)

Impact

These changes make the application significantly more robust when processing real-world Excel files that contain mixed content types. The original code would crash immediately when encountering text in numeric columns, while the fixed version gracefully skips non-numeric values and continues processing.

All existing functionality is preserved while adding crucial error resilience.

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