UiForm

def parse_earnings_report(file_path):
    if file_path.endswith('.pdf'):
        # PDFs: deal with non-standard layouts, scanned documents.
        # Some are text-based; others are just scanned images.
        # And don't forget that sometimes the image is vertical, sometimes horizontal.
        messages = extract_pdf_text(file_path)
    elif file_path.endswith('.xlsx'):
        # Excel files: manage inconsistent formatting, merged cells, and broken sheets.
        # Watch out for hidden rows, weird formulas, or bizarrely nested tables.
        df = pd.read_excel(file_path)
        messages = convert_df_to_text(df)
    elif file_path.endswith('.eml'):
        # Emails: unstructured chaos hidden inside multipart MIME formats.
        # Extract attachments, inline content, and encoded text—each a potential rabbit hole.
        messages = extract_email(file_path)
    else:
        # Add support for Word, images, CSVs, ZIPs... because someone always sends those.
        raise ValueError("Unsupported file format")
    
    # And now the *real* pain begins:
    # - Manage 10+ dependencies—each with its quirks, bugs, and breaking updates.
    # - Extract fields using brittle regex patterns or costly, slow LLM calls.
    # - Handle endless format variations: Excel tables, PDF layouts, freeform emails...
    # - Vertical vs. horizontal image orientations? Of course, those matter too.
    # - Deal with edge cases like:
    #     * Dates in every possible format known to man.
    #     * Fields that move to entirely new places between files.
    #     * Corrupted files that somehow still open but break your pipeline.
    # - Carefully validate JSON output against schemas—debugging mismatches is *so much fun.*

    # Oh, and don't forget scalability:
    # Multiply all of this by thousands of files a day, each with its own quirks and surprises.
    # And the kicker? You'll only notice the worst issues after deploying to production.

    pass  # This "pass" represents hours of debugging and countless cups of coffee.