193 lines
6.2 KiB
Python
193 lines
6.2 KiB
Python
"""
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Test script for the YouTube Processing Workflow.
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"""
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import unittest
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import os
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import tempfile
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from unittest.mock import patch, MagicMock
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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class TestWorkflowComponents(unittest.TestCase):
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"""Test cases for workflow components."""
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def setUp(self):
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"""Set up test fixtures."""
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self.sample_youtube_url = "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
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self.sample_transcript = """Welcome to this educational video about machine learning.
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Today we'll cover supervised learning, including algorithms like linear regression."""
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def test_configuration(self):
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"""Test configuration loading."""
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from config import Config
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config = Config()
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self.assertIsNotNone(config)
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@patch('utils.speech_processing.YouTubeTranscriber')
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def test_transcriber_agent(self, mock_transcriber):
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"""Test transcriber agent."""
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from agents.transcriber_agent import TranscriberAgent
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from openai import OpenAI
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# Mock the transcriber
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mock_transcriber_instance = MagicMock()
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mock_transcriber_instance.transcribe_youtube_video.return_value = self.sample_transcript
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mock_transcriber.return_value = mock_transcriber_instance
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# Mock OpenAI
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with patch('openai.OpenAI'):
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transcriber = TranscriberAgent(MagicMock())
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result = transcriber.transcribe(self.sample_youtube_url)
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# Note: This will now return an error string because we're mocking
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self.assertIsInstance(result, str)
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def test_translator_agent(self):
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"""Test translator agent."""
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from agents.translator_agent import TranslatorAgent
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translator = TranslatorAgent(MagicMock())
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# Test task creation
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task = translator.create_translation_task(self.sample_transcript, "Spanish")
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self.assertIsNotNone(task)
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self.assertIn("Spanish", task.description)
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def test_summarizer_agent(self):
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"""Test summarizer agent."""
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from agents.summarizer_agent import SummarizerAgent
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summarizer = SummarizerAgent(MagicMock())
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sample_translated = "Bienvenidos a este video educativo..."
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sample_prompt = "Summarize in 3 bullet points"
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# Test task creation
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task = summarizer.create_summarization_task(sample_translated, sample_prompt)
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self.assertIsNotNone(task)
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self.assertIn("summarization_prompt", expected_output=str)
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def test_api_endpoints():
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"""Test API endpoints."""
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import json
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from api import app
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# Create test client
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client = app.test_client()
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# Test health endpoint
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response = client.get('/health')
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assert response.status_code == 200
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data = json.loads(response.data)
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assert 'status' in data
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def test_individual_functions():
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"""Test individual utility functions."""
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# Test YouTube URL validation
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def is_valid_youtube_url(url):
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return "youtube.com" in url and "/watch" in url
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assert is_valid_youtube_url("https://www.youtube.com/watch?v=example")
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assert not is_valid_youtube_url("https://example.com")
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# Test language name validation
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def is_valid_language(language):
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valid_languages = ["English", "Spanish", "French", "German", "Italian"]
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return language in valid_languages
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assert is_valid_language("Spanish")
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assert is_valid_language("French")
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assert not is_valid_language("Klingon")
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def test_error_handling():
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"""Test error handling scenarios."""
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# Test transcription error
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error_result = "Error transcribing video: Network timeout"
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assert error_result.startswith("Error")
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# Test translation error
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error_result = "Error translating text: Invalid language"
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assert error_result.startswith("Error")
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def run_quick_tests():
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"""Run quick tests without requiring API keys."""
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print("🧪 Running Quick Tests...")
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print("=" * 40)
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try:
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# Test individual functions
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test_individual_functions()
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print("✅ Individual function tests passed")
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# Test error handling
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test_error_handling()
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print("✅ Error handling tests passed")
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# Test workflow components (basic)
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test_workflow_components()
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print("✅ Workflow component tests passed")
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print("\n🎉 All quick tests passed!")
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return True
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except Exception as e:
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print(f"❌ Test failed: {str(e)}")
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return False
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def test_workflow_components():
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"""Test workflow components without external dependencies."""
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# Test configuration
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test_configuration()
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# Test agents (basic initialization)
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from agents.transcriber_agent import TranscriberAgent
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from agents.translator_agent import TranslatorAgent
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from agents.summarizer_agent import SummarizerAgent
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# Mock LLM for testing
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mock_llm = MagicMock()
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try:
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transcriber = TranscriberAgent(mock_llm)
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print("✅ Transcriber agent initialized")
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translator = TranslatorAgent(mock_llm)
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print("✅ Translator agent initialized")
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summarizer = SummarizerAgent(mock_llm)
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print("✅ Summarizer agent initialized")
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except Exception as e:
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print(f"❌ Agent initialization failed: {str(e)}")
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if __name__ == "__main__":
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print("🚀 YouTube Processing Workflow - Test Suite")
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print("=" * 50)
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# Check for API keys
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api_keys_available = os.getenv("PERPLEXITY_API_KEY") or os.getenv("OPENAI_API_KEY")
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if not api_keys_available:
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print("⚠️ No API keys found. Running quick tests only...")
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success = run_quick_tests()
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if success:
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print(f"\n💡 To run full tests:")
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print(f"1. Add API keys to .env file")
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print(f"2. Run: python test.py --full")
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else:
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print(f"\n❌ Some tests failed")
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else:
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print("✅ API keys found. Running full test suite...")
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# Run full tests
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unittest.main(verbosity=2)
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