Add comprehensive test suite for image processing and related services

- Implement tests for database generator to ensure proper session handling.
- Create tests for EXIF extraction and conversion functions.
- Add tests for image-related endpoints, ensuring proper data retrieval and isolation between clients.
- Develop tests for OCR functionality, including language detection and text extraction.
- Introduce tests for the image processing pipeline, covering success and failure scenarios.
- Validate rate limiting functionality and ensure independent counters for different clients.
- Implement scraper tests to verify HTML content fetching and error handling.
- Add unit tests for various services, including storage and filename generation.
- Establish worker entry point for ARQ to handle background image processing tasks.

tests/test_main_extended.py

@@ -0,0 +1,25 @@
+import pytest
+from httpx import AsyncClient, ASGITransport
+from app.main import app
+from app.config import settings
+
+@pytest.mark.asyncio
+async def test_root_endpoint(async_client: AsyncClient):
+    response = await async_client.get("/")
+    assert response.status_code == 200
+    assert response.json()["app"] == settings.APP_NAME
+
+@pytest.mark.asyncio
+async def test_health_endpoint(async_client: AsyncClient):
+    response = await async_client.get("/health")
+    assert response.status_code == 200
+    assert "status" in response.json()
+    assert response.json()["status"] == "healthy"
+
+@pytest.mark.asyncio
+async def test_lifespan(async_client: AsyncClient):
+    # Testing that the lifespan context manager can be entered/exited
+    # ASGITransport already handles this if used correctly
+    async with ASGITransport(app=app) as transport:
+        # Just entering the context triggers lifespan
+        pass