JacekAI / test_startup.py
Jacek Zadrożny
Fix HuggingFace deployment issues
637ed9b
"""
Quick startup test to verify all components load correctly.
Run this before deploying to catch configuration issues early.
"""
import sys
from loguru import logger
logger.remove()
logger.add(sys.stderr, level="INFO")
def test_imports():
"""Test that all required modules can be imported."""
try:
logger.info("Testing imports...")
import gradio
import openai
import lancedb
from pydantic_settings import BaseSettings
from langdetect import detect
import diskcache
import pandas
logger.success("✅ All imports successful")
return True
except ImportError as e:
logger.error(f"❌ Import failed: {e}")
return False
def test_config():
"""Test configuration loading."""
try:
logger.info("Testing configuration...")
from config import get_settings
import os
os.environ.setdefault("OPENAI_API_KEY", "test-key-for-validation")
settings = get_settings()
logger.info(f"LLM Model: {settings.llm_model}")
logger.info(f"Embedding Model: {settings.embedding_model}")
logger.info(f"Server: {settings.server_host}:{settings.server_port}")
logger.success("✅ Configuration loaded successfully")
return True
except Exception as e:
logger.error(f"❌ Config failed: {e}")
return False
def test_vector_store():
"""Test vector store connection."""
try:
logger.info("Testing vector store...")
from config import get_settings
from database.vector_store_client import VectorStoreClient
import os
os.environ.setdefault("OPENAI_API_KEY", "test-key-for-validation")
settings = get_settings()
client = VectorStoreClient(uri=settings.lancedb_uri)
count = client.count_documents()
logger.info(f"Documents in database: {count}")
client.close()
logger.success("✅ Vector store accessible")
return True
except Exception as e:
logger.error(f"❌ Vector store failed: {e}")
import traceback
logger.error(traceback.format_exc())
return False
def test_embeddings():
"""Test embeddings client initialization."""
try:
logger.info("Testing embeddings client...")
from models.embeddings import get_embeddings_client
client = get_embeddings_client()
logger.info(f"Model: {client.model}")
logger.info(f"Cache available: {client.cache is not None}")
client.close()
logger.success("✅ Embeddings client initialized")
return True
except Exception as e:
logger.error(f"❌ Embeddings client failed: {e}")
return False
def test_agent():
"""Test agent creation."""
try:
logger.info("Testing agent creation...")
from agent.a11y_agent import create_agent
import os
os.environ.setdefault("OPENAI_API_KEY", "test-key-for-validation")
agent = create_agent()
logger.info(f"Agent language: {agent.language}")
logger.info(f"Agent model: {agent.model}")
agent.close()
logger.success("✅ Agent created successfully")
return True
except Exception as e:
logger.error(f"❌ Agent creation failed: {e}")
import traceback
logger.error(traceback.format_exc())
return False
def main():
"""Run all tests."""
logger.info("=" * 60)
logger.info("Starting Deployment Readiness Tests")
logger.info("=" * 60)
tests = [
("Imports", test_imports),
("Configuration", test_config),
("Vector Store", test_vector_store),
("Embeddings", test_embeddings),
("Agent", test_agent),
]
results = []
for name, test_func in tests:
logger.info(f"\n--- Test: {name} ---")
result = test_func()
results.append((name, result))
logger.info("\n" + "=" * 60)
logger.info("Test Results Summary")
logger.info("=" * 60)
for name, result in results:
status = "✅ PASS" if result else "❌ FAIL"
logger.info(f"{status} - {name}")
all_passed = all(result for _, result in results)
if all_passed:
logger.success("\n🎉 All tests passed! Ready for deployment.")
return 0
else:
logger.error("\n⚠️ Some tests failed. Fix issues before deploying.")
return 1
if __name__ == "__main__":
sys.exit(main())