feat(tests): add e2e tests for multiple ocr languages
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perf3ct
parent
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commit
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#!/usr/bin/env python3
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"""
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Create test PDFs with Spanish and English content for OCR multiple language testing.
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"""
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import os
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try:
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from reportlab.pdfgen import canvas
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from reportlab.lib.pagesizes import letter
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from reportlab.pdfbase import pdfmetrics
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from reportlab.pdfbase.ttfonts import TTFont
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except ImportError:
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print("reportlab not installed. Please install it with: pip install reportlab")
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print("Creating simple text files as fallback...")
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def create_simple_multilingual_files():
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"""Create simple text files as a fallback"""
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test_dir = "frontend/test_data/multilingual"
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os.makedirs(test_dir, exist_ok=True)
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# Spanish content
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spanish_content = """Hola mundo, este es un documento en español.
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Este documento contiene texto en español para probar el reconocimiento óptico de caracteres.
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Las palabras incluyen acentos como café, niño, comunicación y corazón.
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También incluye números como 123, 456 y fechas como 15 de marzo de 2024.
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El sistema OCR debe reconocer correctamente este contenido en español."""
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# English content
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english_content = """Hello world, this is an English document.
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This document contains English text for optical character recognition testing.
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The words include common English vocabulary and technical terms.
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It also includes numbers like 123, 456 and dates like March 15, 2024.
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The OCR system should correctly recognize this English content."""
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# Mixed content
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mixed_content = """Documento bilingüe / Bilingual Document
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Sección en español:
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Este es un documento que contiene texto en dos idiomas diferentes.
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El reconocimiento óptico de caracteres debe manejar ambos idiomas.
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English section:
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This is a document that contains text in two different languages.
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The optical character recognition should handle both languages."""
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with open(f"{test_dir}/spanish_test.txt", "w", encoding="utf-8") as f:
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f.write(spanish_content)
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with open(f"{test_dir}/english_test.txt", "w", encoding="utf-8") as f:
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f.write(english_content)
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with open(f"{test_dir}/mixed_language_test.txt", "w", encoding="utf-8") as f:
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f.write(mixed_content)
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print("Created simple multilingual text files for testing")
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return True
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if not create_simple_multilingual_files():
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exit(1)
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exit(0)
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def create_multilingual_test_pdfs():
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"""Create test PDFs with Spanish and English content"""
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test_dir = "frontend/test_data/multilingual"
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os.makedirs(test_dir, exist_ok=True)
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# Spanish test PDF
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pdf_path = f"{test_dir}/spanish_test.pdf"
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c = canvas.Canvas(pdf_path, pagesize=letter)
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width, height = letter
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# Spanish content
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c.setFont("Helvetica", 14)
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y_position = height - 80
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# Title
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c.drawString(72, y_position, "Documento de Prueba en Español")
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y_position -= 40
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c.setFont("Helvetica", 12)
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spanish_lines = [
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"Hola mundo, este es un documento en español.",
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"",
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"Este documento contiene texto en español para probar",
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"el reconocimiento óptico de caracteres (OCR).",
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"",
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"Las palabras incluyen acentos como:",
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"• café, niño, comunicación, corazón",
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"• también, habitación, compañía",
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"• informática, educación, investigación",
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"",
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"Números y fechas en español:",
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"• 123 ciento veintitrés",
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"• 456 cuatrocientos cincuenta y seis",
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"• 15 de marzo de 2024",
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"• 31 de diciembre de 2023",
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"",
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"Frases comunes:",
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"Por favor, muchas gracias, de nada.",
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"¿Cómo está usted? Muy bien, gracias.",
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"Buenos días, buenas tardes, buenas noches.",
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"",
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"El sistema OCR debe reconocer correctamente",
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"todo este contenido en español, incluyendo",
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"los caracteres especiales y acentos.",
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]
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for line in spanish_lines:
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if line:
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c.drawString(72, y_position, line)
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y_position -= 18
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if y_position < 50: # Start new page if needed
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c.showPage()
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y_position = height - 50
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c.save()
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print(f"Created: {pdf_path}")
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# English test PDF
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pdf_path = f"{test_dir}/english_test.pdf"
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c = canvas.Canvas(pdf_path, pagesize=letter)
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c.setFont("Helvetica", 14)
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y_position = height - 80
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# Title
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c.drawString(72, y_position, "English Test Document")
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y_position -= 40
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c.setFont("Helvetica", 12)
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english_lines = [
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"Hello world, this is an English document.",
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"",
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"This document contains English text for testing",
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"optical character recognition (OCR) capabilities.",
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"",
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"Common English words and phrases:",
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"• technology, computer, software, hardware",
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"• document, recognition, character, optical",
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"• testing, validation, verification, quality",
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"",
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"Numbers and dates in English:",
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"• 123 one hundred twenty-three",
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"• 456 four hundred fifty-six",
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"• March 15, 2024",
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"• December 31, 2023",
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"",
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"Common phrases:",
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"Please, thank you, you're welcome.",
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"How are you? I'm fine, thank you.",
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"Good morning, good afternoon, good evening.",
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"",
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"The OCR system should correctly recognize",
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"all this English content, including proper",
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"capitalization and punctuation marks.",
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"",
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"Technical terms and abbreviations:",
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"API, REST, JSON, XML, HTTP, HTTPS",
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"CPU, RAM, SSD, USB, WiFi, Bluetooth",
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]
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for line in english_lines:
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if line:
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c.drawString(72, y_position, line)
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y_position -= 18
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if y_position < 50:
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c.showPage()
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y_position = height - 50
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c.save()
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print(f"Created: {pdf_path}")
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# Mixed language PDF
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pdf_path = f"{test_dir}/mixed_language_test.pdf"
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c = canvas.Canvas(pdf_path, pagesize=letter)
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c.setFont("Helvetica", 14)
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y_position = height - 80
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# Title
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c.drawString(72, y_position, "Documento Bilingüe / Bilingual Document")
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y_position -= 40
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c.setFont("Helvetica", 12)
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mixed_lines = [
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"Sección en español:",
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"",
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"Este es un documento que contiene texto en dos",
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"idiomas diferentes. El reconocimiento óptico",
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"de caracteres debe manejar ambos idiomas",
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"correctamente y sin confusión.",
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"",
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"Palabras clave: español, idioma, reconocimiento",
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"",
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"English section:",
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"",
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"This is a document that contains text in two",
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"different languages. The optical character",
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"recognition should handle both languages",
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"correctly without confusion.",
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"",
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"Keywords: English, language, recognition",
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"",
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"Conclusión / Conclusion:",
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"",
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"Los sistemas modernos de OCR deben ser capaces",
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"de procesar múltiples idiomas en un solo documento.",
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"",
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"Modern OCR systems should be capable of processing",
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"multiple languages within a single document.",
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]
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for line in mixed_lines:
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if line:
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c.drawString(72, y_position, line)
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y_position -= 18
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if y_position < 50:
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c.showPage()
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y_position = height - 50
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c.save()
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print(f"Created: {pdf_path}")
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# Complex Spanish document with special characters
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pdf_path = f"{test_dir}/spanish_complex.pdf"
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c = canvas.Canvas(pdf_path, pagesize=letter)
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c.setFont("Helvetica", 14)
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y_position = height - 80
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c.drawString(72, y_position, "Documento Español Complejo")
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y_position -= 40
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c.setFont("Helvetica", 12)
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complex_spanish_lines = [
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"Características especiales del español:",
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"",
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"Vocales acentuadas: á, é, í, ó, ú",
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"Letra eñe: niño, España, año, señor",
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"Diéresis: pingüino, cigüeña, vergüenza",
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"",
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"Signos de puntuación especiales:",
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"¿Preguntas con signos de apertura?",
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"¡Exclamaciones con signos de apertura!",
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"",
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"Palabras con combinaciones complejas:",
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"• excelente, exacto, oxígeno",
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"• desarrollo, rápido, árbol",
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"• comunicación, administración, información",
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"",
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"Números ordinales:",
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"1º primero, 2º segundo, 3º tercero",
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"10º décimo, 20º vigésimo, 100º centésimo",
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"",
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"Este documento prueba la capacidad del OCR",
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"para reconocer correctamente todos los",
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"caracteres especiales del idioma español.",
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]
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for line in complex_spanish_lines:
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if line:
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c.drawString(72, y_position, line)
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y_position -= 18
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if y_position < 50:
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c.showPage()
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y_position = height - 50
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c.save()
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print(f"Created: {pdf_path}")
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# Complex English document
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pdf_path = f"{test_dir}/english_complex.pdf"
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c = canvas.Canvas(pdf_path, pagesize=letter)
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c.setFont("Helvetica", 14)
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y_position = height - 80
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c.drawString(72, y_position, "Complex English Document")
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y_position -= 40
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c.setFont("Helvetica", 12)
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complex_english_lines = [
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"Advanced English language features:",
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"",
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"Contractions: don't, won't, can't, isn't",
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"Possessives: user's, system's, company's",
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"Hyphenated words: state-of-the-art, well-known",
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"",
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"Technical terminology:",
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"• machine learning, artificial intelligence",
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"• natural language processing, deep learning",
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"• computer vision, pattern recognition",
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"",
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"Abbreviations and acronyms:",
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"• CEO, CTO, API, SDK, IDE, URL",
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"• HTML, CSS, JavaScript, TypeScript",
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"• REST, GraphQL, JSON, XML, YAML",
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"",
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"Numbers and measurements:",
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"• 3.14159 (pi), 2.71828 (e)",
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"• 100%, 50°F, 25°C, $1,000.00",
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"• 1st, 2nd, 3rd, 21st century",
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"",
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"This document tests the OCR system's ability",
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"to recognize complex English text patterns",
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"including technical terms and formatting.",
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]
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for line in complex_english_lines:
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if line:
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c.drawString(72, y_position, line)
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y_position -= 18
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if y_position < 50:
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c.showPage()
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y_position = height - 50
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c.save()
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print(f"Created: {pdf_path}")
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print("\n🌍 Multilingual Test Files Summary:")
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print("=" * 50)
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# Check file sizes
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test_files = [
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"spanish_test.pdf",
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"english_test.pdf",
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"mixed_language_test.pdf",
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"spanish_complex.pdf",
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"english_complex.pdf"
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]
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for filename in test_files:
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filepath = f"{test_dir}/{filename}"
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if os.path.exists(filepath):
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size_bytes = os.path.getsize(filepath)
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size_kb = size_bytes / 1024
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print(f"📄 {filename}: {size_kb:.1f} KB ({size_bytes:,} bytes)")
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print(f"\n✅ All multilingual test PDFs created in: {test_dir}/")
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print("🔤 Languages: Spanish (spa) and English (eng)")
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print("📝 Ready for OCR multiple language testing!")
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return True
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if __name__ == "__main__":
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create_multilingual_test_pdfs()
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import { test, expect } from './fixtures/auth';
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import { TIMEOUTS, API_ENDPOINTS, TEST_FILES } from './utils/test-data';
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import { TestHelpers } from './utils/test-helpers';
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// Test data for multilingual OCR testing
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const MULTILINGUAL_TEST_FILES = {
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spanish: TEST_FILES.spanishTest,
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english: TEST_FILES.englishTest,
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mixed: TEST_FILES.mixedLanguageTest,
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spanishComplex: TEST_FILES.spanishComplex,
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englishComplex: TEST_FILES.englishComplex
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};
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const EXPECTED_CONTENT = {
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spanish: {
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keywords: ['español', 'documento', 'reconocimiento', 'café', 'niño', 'comunicación'],
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phrases: ['Hola mundo', 'este es un documento', 'en español']
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},
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english: {
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keywords: ['English', 'document', 'recognition', 'technology', 'computer'],
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phrases: ['Hello world', 'this is an English', 'document']
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},
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mixed: {
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spanish: ['español', 'idiomas', 'reconocimiento'],
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english: ['English', 'languages', 'recognition']
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}
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};
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const OCR_LANGUAGES = {
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spanish: { code: 'spa', name: 'Spanish' },
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english: { code: 'eng', name: 'English' },
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auto: { code: 'auto', name: 'Auto-detect' }
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};
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test.describe('OCR Multiple Languages', () => {
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let helpers: TestHelpers;
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test.beforeEach(async ({ adminPage }) => {
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helpers = new TestHelpers(adminPage);
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await helpers.navigateToPage('/settings');
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});
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test('should display OCR language selector in settings', async ({ adminPage: page }) => {
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// Navigate to settings page
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await page.goto('/settings');
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await helpers.waitForLoadingToComplete();
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// Look for OCR language selector component
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const languageSelector = page.locator('[data-testid="ocr-language-selector"], #ocr-language-label').first();
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await expect(languageSelector).toBeVisible({ timeout: TIMEOUTS.medium });
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// Check if the selector shows available languages
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const selectInput = page.locator('div[role="combobox"], select[id*="ocr"], input[id*="language"]').first();
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if (await selectInput.isVisible()) {
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await selectInput.click();
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// Wait for language options to appear
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await page.waitForTimeout(1000);
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// Check for Spanish and English options
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const spanishOption = page.locator('[data-value="spa"], option[value="spa"], :has-text("Spanish")').first();
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const englishOption = page.locator('[data-value="eng"], option[value="eng"], :has-text("English")').first();
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if (await spanishOption.isVisible({ timeout: 3000 })) {
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console.log('✅ Spanish language option found');
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}
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if (await englishOption.isVisible({ timeout: 3000 })) {
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console.log('✅ English language option found');
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}
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}
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});
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test('should change OCR language preference to Spanish', async ({ adminPage: page }) => {
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await page.goto('/settings');
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await helpers.waitForLoadingToComplete();
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// Find and interact with language selector
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const languageSelector = page.locator('[data-testid="ocr-language-selector"], div:has(label:text("OCR Language"))').first();
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if (await languageSelector.isVisible()) {
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// Click on the selector to open dropdown
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await languageSelector.click();
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await page.waitForTimeout(500);
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// Select Spanish option
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const spanishOption = page.locator('[data-value="spa"], option[value="spa"], li:has-text("Spanish")').first();
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if (await spanishOption.isVisible({ timeout: 5000 })) {
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await spanishOption.click();
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// Look for save button or auto-save indication
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const saveButton = page.locator('button:has-text("Save"), button[type="submit"]').first();
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if (await saveButton.isVisible({ timeout: 3000 })) {
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// Wait for settings update API call
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const updatePromise = helpers.waitForApiCall('/api/settings', TIMEOUTS.medium);
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await saveButton.click();
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await updatePromise;
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}
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// Check for success indication
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await helpers.waitForToast();
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console.log('✅ OCR language changed to Spanish');
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}
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}
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});
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test('should upload Spanish document and process with Spanish OCR', async ({ adminPage: page }) => {
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// First set language to Spanish
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await page.goto('/settings');
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await helpers.waitForLoadingToComplete();
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const languageSelector = page.locator('div:has(label:text("OCR Language")), [data-testid="ocr-language-selector"]').first();
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if (await languageSelector.isVisible()) {
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await languageSelector.click();
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const spanishOption = page.locator('[data-value="spa"], li:has-text("Spanish")').first();
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if (await spanishOption.isVisible({ timeout: 5000 })) {
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await spanishOption.click();
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const saveButton = page.locator('button:has-text("Save")').first();
|
||||
if (await saveButton.isVisible()) {
|
||||
await saveButton.click();
|
||||
await helpers.waitForToast();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Navigate to upload page
|
||||
await page.goto('/upload');
|
||||
await helpers.waitForLoadingToComplete();
|
||||
|
||||
// Upload Spanish test document
|
||||
const fileInput = page.locator('input[type="file"]').first();
|
||||
await expect(fileInput).toBeAttached({ timeout: 10000 });
|
||||
|
||||
try {
|
||||
await fileInput.setInputFiles(MULTILINGUAL_TEST_FILES.spanish);
|
||||
|
||||
// Verify file appears in upload list
|
||||
await expect(page.getByText('spanish_test.pdf')).toBeVisible({ timeout: 5000 });
|
||||
|
||||
// Click upload button
|
||||
const uploadButton = page.locator('button:has-text("Upload")').first();
|
||||
if (await uploadButton.isVisible()) {
|
||||
// Wait for upload and OCR processing
|
||||
const uploadPromise = helpers.waitForApiCall('/api/documents', TIMEOUTS.upload);
|
||||
await uploadButton.click();
|
||||
await uploadPromise;
|
||||
|
||||
// Wait for OCR processing to complete
|
||||
await page.waitForTimeout(3000);
|
||||
console.log('✅ Spanish document uploaded and OCR initiated');
|
||||
}
|
||||
} catch (error) {
|
||||
console.log('ℹ️ Spanish test file not found, skipping upload test');
|
||||
}
|
||||
});
|
||||
|
||||
test('should upload English document and process with English OCR', async ({ adminPage: page }) => {
|
||||
// First set language to English
|
||||
await page.goto('/settings');
|
||||
await helpers.waitForLoadingToComplete();
|
||||
|
||||
const languageSelector = page.locator('div:has(label:text("OCR Language")), [data-testid="ocr-language-selector"]').first();
|
||||
if (await languageSelector.isVisible()) {
|
||||
await languageSelector.click();
|
||||
const englishOption = page.locator('[data-value="eng"], li:has-text("English")').first();
|
||||
if (await englishOption.isVisible({ timeout: 5000 })) {
|
||||
await englishOption.click();
|
||||
|
||||
const saveButton = page.locator('button:has-text("Save")').first();
|
||||
if (await saveButton.isVisible()) {
|
||||
await saveButton.click();
|
||||
await helpers.waitForToast();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Navigate to upload page
|
||||
await page.goto('/upload');
|
||||
await helpers.waitForLoadingToComplete();
|
||||
|
||||
// Upload English test document
|
||||
const fileInput = page.locator('input[type="file"]').first();
|
||||
await expect(fileInput).toBeAttached({ timeout: 10000 });
|
||||
|
||||
try {
|
||||
await fileInput.setInputFiles(MULTILINGUAL_TEST_FILES.english);
|
||||
|
||||
// Verify file appears in upload list
|
||||
await expect(page.getByText('english_test.pdf')).toBeVisible({ timeout: 5000 });
|
||||
|
||||
// Click upload button
|
||||
const uploadButton = page.locator('button:has-text("Upload")').first();
|
||||
if (await uploadButton.isVisible()) {
|
||||
// Wait for upload and OCR processing
|
||||
const uploadPromise = helpers.waitForApiCall('/api/documents', TIMEOUTS.upload);
|
||||
await uploadButton.click();
|
||||
await uploadPromise;
|
||||
|
||||
// Wait for OCR processing to complete
|
||||
await page.waitForTimeout(3000);
|
||||
console.log('✅ English document uploaded and OCR initiated');
|
||||
}
|
||||
} catch (error) {
|
||||
console.log('ℹ️ English test file not found, skipping upload test');
|
||||
}
|
||||
});
|
||||
|
||||
test('should validate OCR results contain expected language-specific content', async ({ adminPage: page }) => {
|
||||
await page.goto('/documents');
|
||||
await helpers.waitForLoadingToComplete();
|
||||
|
||||
// Look for uploaded documents
|
||||
const documentItems = page.locator('.document-item, .document-card, [data-testid="document-item"]');
|
||||
const documentCount = await documentItems.count();
|
||||
|
||||
if (documentCount > 0) {
|
||||
// Click on first document to view details
|
||||
await documentItems.first().click();
|
||||
await helpers.waitForLoadingToComplete();
|
||||
|
||||
// Look for document content or OCR text
|
||||
const contentArea = page.locator('.document-content, .ocr-text, [data-testid="document-content"]').first();
|
||||
|
||||
if (await contentArea.isVisible({ timeout: TIMEOUTS.medium })) {
|
||||
const contentText = await contentArea.textContent();
|
||||
|
||||
if (contentText) {
|
||||
// Check for Spanish keywords
|
||||
const hasSpanishContent = EXPECTED_CONTENT.spanish.keywords.some(keyword =>
|
||||
contentText.toLowerCase().includes(keyword.toLowerCase())
|
||||
);
|
||||
|
||||
// Check for English keywords
|
||||
const hasEnglishContent = EXPECTED_CONTENT.english.keywords.some(keyword =>
|
||||
contentText.toLowerCase().includes(keyword.toLowerCase())
|
||||
);
|
||||
|
||||
if (hasSpanishContent) {
|
||||
console.log('✅ Spanish OCR content detected');
|
||||
}
|
||||
if (hasEnglishContent) {
|
||||
console.log('✅ English OCR content detected');
|
||||
}
|
||||
|
||||
console.log(`📄 Document content preview: ${contentText.substring(0, 100)}...`);
|
||||
}
|
||||
}
|
||||
} else {
|
||||
console.log('ℹ️ No documents found for content validation');
|
||||
}
|
||||
});
|
||||
|
||||
test('should retry failed OCR with different language', async ({ adminPage: page }) => {
|
||||
await page.goto('/documents');
|
||||
await helpers.waitForLoadingToComplete();
|
||||
|
||||
// Look for failed documents or retry options
|
||||
const retryButton = page.locator('button:has-text("Retry"), [data-testid="retry-ocr"]').first();
|
||||
|
||||
if (await retryButton.isVisible()) {
|
||||
// Look for language selection in retry dialog
|
||||
await retryButton.click();
|
||||
|
||||
// Check if retry dialog opens with language options
|
||||
const retryDialog = page.locator('.retry-dialog, [role="dialog"], .modal').first();
|
||||
if (await retryDialog.isVisible({ timeout: 5000 })) {
|
||||
|
||||
// Look for language selector in retry dialog
|
||||
const retryLanguageSelector = page.locator('select, [role="combobox"]').first();
|
||||
if (await retryLanguageSelector.isVisible()) {
|
||||
// Change language for retry
|
||||
await retryLanguageSelector.click();
|
||||
|
||||
const spanishRetryOption = page.locator('[data-value="spa"], option[value="spa"]').first();
|
||||
if (await spanishRetryOption.isVisible()) {
|
||||
await spanishRetryOption.click();
|
||||
|
||||
// Confirm retry with new language
|
||||
const confirmRetryButton = page.locator('button:has-text("Retry"), button:has-text("Confirm")').last();
|
||||
if (await confirmRetryButton.isVisible()) {
|
||||
const retryPromise = helpers.waitForApiCall('/retry', TIMEOUTS.ocr);
|
||||
await confirmRetryButton.click();
|
||||
|
||||
try {
|
||||
await retryPromise;
|
||||
console.log('✅ OCR retry with different language initiated');
|
||||
} catch (error) {
|
||||
console.log('ℹ️ Retry may have failed or timed out');
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
} else {
|
||||
console.log('ℹ️ No failed documents found for retry testing');
|
||||
}
|
||||
});
|
||||
|
||||
test('should handle mixed language document', async ({ adminPage: page }) => {
|
||||
// Upload mixed language document
|
||||
await page.goto('/upload');
|
||||
await helpers.waitForLoadingToComplete();
|
||||
|
||||
const fileInput = page.locator('input[type="file"]').first();
|
||||
|
||||
try {
|
||||
await fileInput.setInputFiles(MULTILINGUAL_TEST_FILES.mixed);
|
||||
|
||||
await expect(page.getByText('mixed_language_test.pdf')).toBeVisible({ timeout: 5000 });
|
||||
|
||||
const uploadButton = page.locator('button:has-text("Upload")').first();
|
||||
if (await uploadButton.isVisible()) {
|
||||
const uploadPromise = helpers.waitForApiCall('/api/documents', TIMEOUTS.upload);
|
||||
await uploadButton.click();
|
||||
await uploadPromise;
|
||||
|
||||
// Wait for OCR processing
|
||||
await page.waitForTimeout(5000);
|
||||
|
||||
// Navigate to documents and check content
|
||||
await page.goto('/documents');
|
||||
await helpers.waitForLoadingToComplete();
|
||||
|
||||
// Look for the mixed document
|
||||
const mixedDocument = page.locator('text="mixed_language_test.pdf"').first();
|
||||
if (await mixedDocument.isVisible()) {
|
||||
await mixedDocument.click();
|
||||
|
||||
const contentArea = page.locator('.document-content, .ocr-text').first();
|
||||
if (await contentArea.isVisible({ timeout: TIMEOUTS.medium })) {
|
||||
const content = await contentArea.textContent();
|
||||
|
||||
if (content) {
|
||||
const hasSpanish = EXPECTED_CONTENT.mixed.spanish.some(word =>
|
||||
content.toLowerCase().includes(word.toLowerCase())
|
||||
);
|
||||
const hasEnglish = EXPECTED_CONTENT.mixed.english.some(word =>
|
||||
content.toLowerCase().includes(word.toLowerCase())
|
||||
);
|
||||
|
||||
if (hasSpanish && hasEnglish) {
|
||||
console.log('✅ Mixed language document processed successfully');
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
console.log('ℹ️ Mixed language test file not found, skipping test');
|
||||
}
|
||||
});
|
||||
|
||||
test('should persist language preference across sessions', async ({ adminPage: page }) => {
|
||||
// Set language to Spanish
|
||||
await page.goto('/settings');
|
||||
await helpers.waitForLoadingToComplete();
|
||||
|
||||
const languageSelector = page.locator('div:has(label:text("OCR Language"))').first();
|
||||
if (await languageSelector.isVisible()) {
|
||||
await languageSelector.click();
|
||||
|
||||
const spanishOption = page.locator('[data-value="spa"], li:has-text("Spanish")').first();
|
||||
if (await spanishOption.isVisible()) {
|
||||
await spanishOption.click();
|
||||
|
||||
const saveButton = page.locator('button:has-text("Save")').first();
|
||||
if (await saveButton.isVisible()) {
|
||||
await saveButton.click();
|
||||
await helpers.waitForToast();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Reload page to simulate new session
|
||||
await page.reload();
|
||||
await helpers.waitForLoadingToComplete();
|
||||
|
||||
// Check if Spanish is still selected
|
||||
const currentLanguageIndicator = page.locator('text="Spanish", [data-value="spa"]').first();
|
||||
if (await currentLanguageIndicator.isVisible({ timeout: 5000 })) {
|
||||
console.log('✅ Language preference persisted across reload');
|
||||
} else {
|
||||
console.log('ℹ️ Could not verify language persistence');
|
||||
}
|
||||
});
|
||||
|
||||
test('should display available languages from API', async ({ adminPage: page }) => {
|
||||
// Navigate to settings and check API call for languages
|
||||
const languagesPromise = helpers.waitForApiCall('/api/ocr/languages', TIMEOUTS.medium);
|
||||
|
||||
await page.goto('/settings');
|
||||
await helpers.waitForLoadingToComplete();
|
||||
|
||||
try {
|
||||
const languagesResponse = await languagesPromise;
|
||||
console.log('✅ OCR languages API called successfully');
|
||||
|
||||
// Check if language selector shows loading then options
|
||||
const languageSelector = page.locator('[data-testid="ocr-language-selector"]').first();
|
||||
if (await languageSelector.isVisible()) {
|
||||
// Click to see available options
|
||||
await languageSelector.click();
|
||||
await page.waitForTimeout(1000);
|
||||
|
||||
// Count available language options
|
||||
const languageOptions = page.locator('li[role="option"], option[value]');
|
||||
const optionCount = await languageOptions.count();
|
||||
|
||||
if (optionCount > 0) {
|
||||
console.log(`✅ Found ${optionCount} language options in selector`);
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
console.log('ℹ️ Could not capture languages API call');
|
||||
}
|
||||
});
|
||||
|
||||
test('should handle bulk operations with multiple languages', async ({ adminPage: page }) => {
|
||||
await page.goto('/documents');
|
||||
await helpers.waitForLoadingToComplete();
|
||||
|
||||
// Look for documents and select multiple
|
||||
const documentCheckboxes = page.locator('.document-item input[type="checkbox"], [data-testid="document-checkbox"]');
|
||||
const checkboxCount = await documentCheckboxes.count();
|
||||
|
||||
if (checkboxCount > 1) {
|
||||
// Select first two documents
|
||||
await documentCheckboxes.nth(0).click();
|
||||
await documentCheckboxes.nth(1).click();
|
||||
|
||||
// Look for bulk action menu
|
||||
const bulkActionsMenu = page.locator('[data-testid="bulk-actions"], .bulk-actions, button:has-text("Bulk")').first();
|
||||
|
||||
if (await bulkActionsMenu.isVisible()) {
|
||||
await bulkActionsMenu.click();
|
||||
|
||||
// Look for language-specific bulk operations
|
||||
const bulkRetryWithLanguage = page.locator('button:has-text("Retry with Language"), .bulk-retry-language').first();
|
||||
|
||||
if (await bulkRetryWithLanguage.isVisible()) {
|
||||
await bulkRetryWithLanguage.click();
|
||||
|
||||
// Check for language selection in bulk retry
|
||||
const bulkLanguageSelector = page.locator('select, [role="combobox"]').first();
|
||||
if (await bulkLanguageSelector.isVisible()) {
|
||||
await bulkLanguageSelector.click();
|
||||
|
||||
const spanishBulkOption = page.locator('[data-value="spa"], option[value="spa"]').first();
|
||||
if (await spanishBulkOption.isVisible()) {
|
||||
await spanishBulkOption.click();
|
||||
|
||||
const confirmBulkButton = page.locator('button:has-text("Confirm"), button:has-text("Apply")').first();
|
||||
if (await confirmBulkButton.isVisible()) {
|
||||
const bulkRetryPromise = helpers.waitForApiCall('/bulk-retry', TIMEOUTS.ocr);
|
||||
await confirmBulkButton.click();
|
||||
|
||||
try {
|
||||
await bulkRetryPromise;
|
||||
console.log('✅ Bulk retry with Spanish language initiated');
|
||||
} catch (error) {
|
||||
console.log('ℹ️ Bulk retry may have failed or not available');
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
} else {
|
||||
console.log('ℹ️ Not enough documents for bulk operations test');
|
||||
}
|
||||
});
|
||||
|
||||
test('should handle OCR language errors gracefully', async ({ adminPage: page }) => {
|
||||
await page.goto('/settings');
|
||||
await helpers.waitForLoadingToComplete();
|
||||
|
||||
// Look for language selector component
|
||||
const languageSelector = page.locator('[data-testid="ocr-language-selector"]').first();
|
||||
|
||||
// Check for error handling in language selector
|
||||
const errorAlert = page.locator('[role="alert"], .error, .alert-warning').first();
|
||||
const retryButton = page.locator('button:has-text("Retry"), .retry').first();
|
||||
|
||||
if (await errorAlert.isVisible()) {
|
||||
console.log('⚠️ Language selector showing error state');
|
||||
|
||||
if (await retryButton.isVisible()) {
|
||||
await retryButton.click();
|
||||
console.log('✅ Error retry mechanism available');
|
||||
}
|
||||
} else if (await languageSelector.isVisible()) {
|
||||
console.log('✅ Language selector loaded without errors');
|
||||
}
|
||||
|
||||
// Check for fallback behavior
|
||||
const englishFallback = page.locator('text="English (Fallback)"').first();
|
||||
if (await englishFallback.isVisible()) {
|
||||
console.log('✅ Fallback language option available');
|
||||
}
|
||||
});
|
||||
});
|
||||
|
|
@ -20,6 +20,13 @@ export const TEST_FILES = {
|
|||
test8: '../tests/test_images/test8.jpeg', // "Test 8\nThis is some text from text 8"
|
||||
test9: '../tests/test_images/test9.png', // "Test 9\nThis is some text from text 9"
|
||||
|
||||
// Multilingual test PDFs
|
||||
spanishTest: 'test_data/multilingual/spanish_test.pdf',
|
||||
englishTest: 'test_data/multilingual/english_test.pdf',
|
||||
mixedLanguageTest: 'test_data/multilingual/mixed_language_test.pdf',
|
||||
spanishComplex: 'test_data/multilingual/spanish_complex.pdf',
|
||||
englishComplex: 'test_data/multilingual/english_complex.pdf',
|
||||
|
||||
// Backwards compatibility
|
||||
image: '../tests/test_images/test1.png',
|
||||
multiline: '../tests/test_images/test2.jpg',
|
||||
|
|
|
|||
|
|
@ -0,0 +1,99 @@
|
|||
# Multilingual OCR Test Files
|
||||
|
||||
This directory contains test files for validating the multiple OCR language capabilities of Readur.
|
||||
|
||||
## Test Files
|
||||
|
||||
### Spanish Test Files
|
||||
- **`spanish_test.pdf`** - Basic Spanish document with common words, accents, and phrases
|
||||
- **`spanish_complex.pdf`** - Complex Spanish document with special characters (ñ, ü, ¿, ¡)
|
||||
|
||||
### English Test Files
|
||||
- **`english_test.pdf`** - Basic English document with common words and technical terms
|
||||
- **`english_complex.pdf`** - Complex English document with contractions, hyphens, and abbreviations
|
||||
|
||||
### Mixed Language Test Files
|
||||
- **`mixed_language_test.pdf`** - Document containing both Spanish and English text sections
|
||||
|
||||
## Expected OCR Content
|
||||
|
||||
### Spanish Content Keywords
|
||||
- español, documento, reconocimiento
|
||||
- café, niño, comunicación, corazón
|
||||
- también, habitación, compañía
|
||||
- informática, educación, investigación
|
||||
|
||||
### English Content Keywords
|
||||
- English, document, recognition
|
||||
- technology, computer, software, hardware
|
||||
- testing, validation, verification, quality
|
||||
|
||||
### Mixed Content
|
||||
Both Spanish and English keywords should be recognized in the mixed language document.
|
||||
|
||||
## Usage in E2E Tests
|
||||
|
||||
These files are used by the `ocr-multiple-languages.spec.ts` test suite to validate:
|
||||
|
||||
1. **Language Selection**: Testing the OCR language selector component
|
||||
2. **Document Upload**: Uploading documents with specific language preferences
|
||||
3. **OCR Processing**: Validating OCR results contain expected language-specific content
|
||||
4. **Language Persistence**: Ensuring language preferences are saved across sessions
|
||||
5. **Retry Functionality**: Testing OCR retry with different languages
|
||||
6. **Error Handling**: Testing graceful fallback behavior
|
||||
|
||||
## Test Languages
|
||||
|
||||
- **Spanish (spa)**: Primary test language with accents and special characters
|
||||
- **English (eng)**: Secondary test language with technical terminology
|
||||
- **Auto-detect**: Testing automatic language detection
|
||||
|
||||
## File Creation
|
||||
|
||||
These files were created using the `create_multilingual_test_pdfs.py` script in the repository root.
|
||||
|
||||
To regenerate the test files:
|
||||
|
||||
```bash
|
||||
python3 create_multilingual_test_pdfs.py
|
||||
```
|
||||
|
||||
## OCR Language Testing Workflow
|
||||
|
||||
1. Set language preference in Settings page
|
||||
2. Upload test document with specific language content
|
||||
3. Wait for OCR processing to complete
|
||||
4. Validate OCR results contain expected keywords
|
||||
5. Test retry functionality with different languages
|
||||
6. Verify bulk operations work with multiple languages
|
||||
|
||||
## Expected Test Results
|
||||
|
||||
When OCR is configured correctly for Spanish (`spa`):
|
||||
- Spanish documents should have high recognition accuracy for accented characters
|
||||
- Phrases like "Hola mundo", "este es un documento", "en español" should be recognized
|
||||
- Special characters (ñ, ü, ¿, ¡) should be preserved
|
||||
|
||||
When OCR is configured correctly for English (`eng`):
|
||||
- English documents should have high recognition accuracy
|
||||
- Technical terms and abbreviations should be recognized
|
||||
- Phrases like "Hello world", "this is an English", "document" should be recognized
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
If tests fail:
|
||||
|
||||
1. **Check Tesseract Installation**: Ensure Spanish language pack is installed
|
||||
```bash
|
||||
# Ubuntu/Debian
|
||||
sudo apt-get install tesseract-ocr-spa
|
||||
|
||||
# macOS
|
||||
brew install tesseract-lang
|
||||
```
|
||||
|
||||
2. **Verify Language Availability**: Check `/api/ocr/languages` endpoint returns Spanish and English
|
||||
|
||||
3. **File Paths**: Ensure test files exist in the correct directory structure
|
||||
|
||||
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|
||||
|
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xref
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0 8
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trailer
|
||||
<<
|
||||
/ID
|
||||
[<777fc4a89fb76bdddd9c05de1a073282><777fc4a89fb76bdddd9c05de1a073282>]
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% ReportLab generated PDF document -- digest (http://www.reportlab.com)
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/Info 5 0 R
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/Root 4 0 R
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/Size 8
|
||||
>>
|
||||
startxref
|
||||
1673
|
||||
%%EOF
|
||||
Loading…
Reference in New Issue