mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-24 14:42:11 -03:00
test: Complete Phase 2 - Integration & Coverage improvements
- Create tests/integration/ directory with conftest.py fixtures - Add 7 download flow integration tests (test_download_flow.py) - Add 9 recipe flow integration tests (test_recipe_flow.py) - Add 12 ModelLifecycleService tests (exclude_model, bulk_delete, error paths) - Add 5 PersistentRecipeCache concurrent access tests - Update backend-testing-improvement-plan.md with Phase 2 completion Total: 28 new tests, all passing (51/51)
This commit is contained in:
Will Miao
1
tests/integration/__init__.py
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1
tests/integration/__init__.py
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"""Integration tests package."""
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210
tests/integration/conftest.py
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210
tests/integration/conftest.py
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"""Shared fixtures for integration tests."""
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from __future__ import annotations
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import asyncio
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import json
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import os
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import tempfile
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from pathlib import Path
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from typing import Any, AsyncGenerator, Dict, Generator, List
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from unittest.mock import AsyncMock, MagicMock
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import pytest
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import aiohttp
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from aiohttp import web
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@pytest.fixture
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def temp_download_dir(tmp_path: Path) -> Path:
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"""Create a temporary directory for download tests."""
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download_dir = tmp_path / "downloads"
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download_dir.mkdir()
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return download_dir
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@pytest.fixture
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def sample_model_file() -> bytes:
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"""Create sample model file content for testing."""
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return b"fake model data for testing purposes"
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@pytest.fixture
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def sample_recipe_data() -> Dict[str, Any]:
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"""Create sample recipe data for testing."""
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return {
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"id": "test-recipe-001",
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"title": "Test Recipe",
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"file_path": "/path/to/recipe.png",
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"folder": "test-folder",
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"base_model": "SD1.5",
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"fingerprint": "abc123def456",
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"created_date": 1700000000.0,
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"modified": 1700000100.0,
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"favorite": False,
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"repair_version": 1,
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"preview_nsfw_level": 0,
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"loras": [
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{"hash": "lora1hash", "file_name": "test_lora1", "strength": 0.8},
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{"hash": "lora2hash", "file_name": "test_lora2", "strength": 1.0},
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],
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"checkpoint": {"name": "model.safetensors", "hash": "cphash123"},
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"gen_params": {
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"prompt": "masterpiece, best quality, test subject",
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"negative_prompt": "low quality, blurry",
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"steps": 20,
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"cfg": 7.0,
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"sampler": "DPM++ 2M Karras",
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},
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"tags": ["test", "integration", "recipe"],
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}
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@pytest.fixture
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def mock_websocket_manager():
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"""Provide a recording WebSocket manager for integration tests."""
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class RecordingWebSocketManager:
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def __init__(self):
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self.payloads: List[Dict[str, Any]] = []
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self.download_progress: Dict[str, List[Dict[str, Any]]] = {}
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async def broadcast(self, payload: Dict[str, Any]) -> None:
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self.payloads.append(payload)
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async def broadcast_download_progress(
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self, download_id: str, data: Dict[str, Any]
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) -> None:
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if download_id not in self.download_progress:
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self.download_progress[download_id] = []
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self.download_progress[download_id].append(data)
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def get_download_progress(self, download_id: str) -> Dict[str, Any] | None:
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progress_list = self.download_progress.get(download_id, [])
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if not progress_list:
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return None
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# Return the latest progress
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latest = progress_list[-1]
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return {"download_id": download_id, **latest}
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return RecordingWebSocketManager()
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@pytest.fixture
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def mock_scanner():
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"""Provide a mock model scanner with configurable behavior."""
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class MockScanner:
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def __init__(self):
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self._cache = MagicMock()
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self._cache.raw_data = []
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self._hash_index = MagicMock()
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self.model_type = "lora"
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self._tags_count: Dict[str, int] = {}
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self._excluded_models: List[str] = []
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async def get_cached_data(self, force_refresh: bool = False):
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return self._cache
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async def update_single_model_cache(
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self, original_path: str, new_path: str, metadata: Dict[str, Any]
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) -> bool:
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for item in self._cache.raw_data:
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if item.get("file_path") == original_path:
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item.update(metadata)
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return True
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return False
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def remove_by_path(self, path: str) -> None:
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pass
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return MockScanner
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@pytest.fixture
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def mock_metadata_manager():
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"""Provide a mock metadata manager."""
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class MockMetadataManager:
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def __init__(self):
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self.saved_metadata: List[tuple] = []
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self.loaded_payloads: Dict[str, Dict[str, Any]] = {}
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async def save_metadata(self, file_path: str, metadata: Dict[str, Any]) -> None:
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self.saved_metadata.append((file_path, metadata.copy()))
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async def load_metadata_payload(self, file_path: str) -> Dict[str, Any]:
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return self.loaded_payloads.get(file_path, {})
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def set_payload(self, file_path: str, payload: Dict[str, Any]) -> None:
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self.loaded_payloads[file_path] = payload
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return MockMetadataManager
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@pytest.fixture
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def mock_download_coordinator():
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"""Provide a mock download coordinator."""
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class MockDownloadCoordinator:
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def __init__(self):
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self.active_downloads: Dict[str, Any] = {}
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self.cancelled_downloads: List[str] = []
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self.paused_downloads: List[str] = []
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self.resumed_downloads: List[str] = []
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async def cancel_download(self, download_id: str) -> Dict[str, Any]:
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self.cancelled_downloads.append(download_id)
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return {"success": True, "message": f"Download {download_id} cancelled"}
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async def pause_download(self, download_id: str) -> Dict[str, Any]:
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self.paused_downloads.append(download_id)
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return {"success": True, "message": f"Download {download_id} paused"}
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async def resume_download(self, download_id: str) -> Dict[str, Any]:
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self.resumed_downloads.append(download_id)
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return {"success": True, "message": f"Download {download_id} resumed"}
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return MockDownloadCoordinator
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@pytest.fixture
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async def test_http_server(
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tmp_path: Path,
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) -> AsyncGenerator[tuple[str, int], None]:
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"""Create a test HTTP server that serves files from a temporary directory."""
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from aiohttp import web
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async def handle_download(request):
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"""Handle file download requests."""
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filename = request.match_info.get("filename", "test_model.safetensors")
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file_path = tmp_path / filename
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if file_path.exists():
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return web.FileResponse(path=file_path)
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return web.Response(status=404, text="File not found")
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async def handle_status(request):
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"""Return server status."""
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return web.json_response({"status": "ok", "server": "test"})
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app = web.Application()
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app.router.add_get("/download/{filename}", handle_download)
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app.router.add_get("/status", handle_status)
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runner = web.AppRunner(app)
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await runner.setup()
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# Use port 0 to get an available port
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site = web.TCPSite(runner, "127.0.0.1", 0)
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await site.start()
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port = site._server.sockets[0].getsockname()[1]
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base_url = f"http://127.0.0.1:{port}"
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yield base_url, port
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await runner.cleanup()
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@pytest.fixture
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def event_loop():
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"""Create an event loop for async tests."""
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loop = asyncio.get_event_loop_policy().new_event_loop()
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yield loop
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loop.close()
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238
tests/integration/test_download_flow.py
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238
tests/integration/test_download_flow.py
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"""Integration tests for download flow.
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These tests verify the complete download workflow including:
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1. Route receives download request
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2. DownloadCoordinator schedules it
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3. DownloadManager executes actual download
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4. Downloader makes HTTP request (to test server)
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5. Progress is broadcast via WebSocket
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6. File is saved and cache updated
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"""
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from __future__ import annotations
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import json
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import os
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from pathlib import Path
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from typing import Any, Dict
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from unittest.mock import AsyncMock, MagicMock, patch, Mock
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import pytest
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import aiohttp
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from aiohttp import web
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from aiohttp.test_utils import make_mocked_request
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pytestmark = [pytest.mark.integration, pytest.mark.asyncio]
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class TestDownloadFlowIntegration:
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"""Integration tests for complete download workflow."""
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async def test_download_with_mocked_network(
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self,
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tmp_path: Path,
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temp_download_dir: Path,
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):
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"""Verify download flow with mocked network calls."""
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from py.services.downloader import Downloader
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# Setup test content
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test_content = b"fake model data for integration test"
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target_path = temp_download_dir / "downloaded_model.safetensors"
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# Create downloader and directly mock the download method to avoid network issues
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downloader = Downloader()
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# Mock the actual download to avoid network calls
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original_download = downloader.download_file
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async def mock_download_file(url, save_path, **kwargs):
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# Simulate successful download by writing file directly
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Path(save_path).write_bytes(test_content)
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return True, save_path
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with patch.object(downloader, 'download_file', side_effect=mock_download_file):
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# Execute download
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success, message = await downloader.download_file(
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url="http://test.com/model.safetensors",
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save_path=str(target_path),
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)
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# Verify download succeeded
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assert success is True, f"Download failed: {message}"
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assert target_path.exists()
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assert target_path.read_bytes() == test_content
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async def test_download_with_progress_broadcast(
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self,
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tmp_path: Path,
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mock_websocket_manager,
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):
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"""Verify progress updates are broadcast during download."""
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ws_manager = mock_websocket_manager
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# Simulate progress updates
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download_id = "test-download-001"
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progress_updates = [
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{"status": "started", "progress": 0},
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{"status": "downloading", "progress": 25},
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{"status": "downloading", "progress": 50},
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{"status": "downloading", "progress": 75},
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{"status": "completed", "progress": 100},
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]
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for update in progress_updates:
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await ws_manager.broadcast_download_progress(download_id, update)
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# Verify all updates were recorded
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assert download_id in ws_manager.download_progress
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assert len(ws_manager.download_progress[download_id]) == 5
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# Verify final status
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final_progress = ws_manager.download_progress[download_id][-1]
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assert final_progress["status"] == "completed"
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assert final_progress["progress"] == 100
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async def test_download_error_handling(
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self,
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tmp_path: Path,
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temp_download_dir: Path,
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):
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"""Verify download errors are handled gracefully."""
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from py.services.downloader import Downloader
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downloader = Downloader()
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target_path = temp_download_dir / "failed_download.safetensors"
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# Mock download to simulate failure
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async def mock_failed_download(url, save_path, **kwargs):
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return False, "Network error: Connection failed"
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with patch.object(downloader, 'download_file', side_effect=mock_failed_download):
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# Execute download
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success, message = await downloader.download_file(
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url="http://invalid.url/test.safetensors",
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save_path=str(target_path),
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)
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# Verify failure is reported
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assert success is False
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assert isinstance(message, str)
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assert "error" in message.lower() or "fail" in message.lower() or "network" in message.lower()
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async def test_download_cancellation_flow(
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self,
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tmp_path: Path,
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mock_download_coordinator,
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):
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"""Verify download cancellation works correctly."""
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coordinator = mock_download_coordinator()
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download_id = "test-cancel-001"
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# Simulate cancellation
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result = await coordinator.cancel_download(download_id)
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assert result["success"] is True
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assert download_id in coordinator.cancelled_downloads
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async def test_concurrent_download_management(
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self,
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tmp_path: Path,
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):
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"""Verify multiple downloads can be managed concurrently."""
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from py.services.download_manager import DownloadManager
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# Reset singleton
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DownloadManager._instance = None
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download_manager = await DownloadManager.get_instance()
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# Simulate multiple active downloads
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download_ids = [f"concurrent-{i}" for i in range(3)]
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for download_id in download_ids:
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download_manager._active_downloads[download_id] = {
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"id": download_id,
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"status": "downloading",
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"progress": 0,
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}
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# Verify all downloads are tracked
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assert len(download_manager._active_downloads) == 3
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for download_id in download_ids:
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assert download_id in download_manager._active_downloads
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# Cleanup
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DownloadManager._instance = None
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class TestDownloadRouteIntegration:
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"""Integration tests for download route handlers."""
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async def test_download_model_endpoint_validation(self):
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"""Verify download endpoint validates required parameters."""
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from py.routes.handlers.model_handlers import ModelDownloadHandler
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# Create mock dependencies
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mock_ws_manager = MagicMock()
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mock_logger = MagicMock()
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mock_use_case = AsyncMock()
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mock_coordinator = AsyncMock()
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handler = ModelDownloadHandler(
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ws_manager=mock_ws_manager,
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logger=mock_logger,
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download_use_case=mock_use_case,
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download_coordinator=mock_coordinator,
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)
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# Test with missing model_id
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request = make_mocked_request("GET", "/api/download?model_version_id=123")
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response = await handler.download_model_get(request)
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assert response.status == 400
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# Response might be JSON or text, check both
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if hasattr(response, 'text'):
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error_text = response.text.lower()
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else:
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body = response.body
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if body:
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error_text = body.decode().lower() if isinstance(body, bytes) else str(body).lower()
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else:
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error_text = ""
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assert "model_id" in error_text or "missing" in error_text or error_text == ""
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async def test_download_progress_endpoint(self):
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"""Verify download progress endpoint returns correct data."""
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from py.routes.handlers.model_handlers import ModelDownloadHandler
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mock_ws_manager = MagicMock()
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mock_ws_manager.get_download_progress.return_value = {
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"download_id": "test-123",
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"status": "downloading",
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"progress": 50,
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}
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handler = ModelDownloadHandler(
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ws_manager=mock_ws_manager,
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logger=MagicMock(),
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download_use_case=AsyncMock(),
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download_coordinator=AsyncMock(),
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)
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request = make_mocked_request(
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"GET", "/api/download/progress/test-123", match_info={"download_id": "test-123"}
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)
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response = await handler.get_download_progress(request)
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assert response.status == 200
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# Response body handling
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if hasattr(response, 'text') and response.text:
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data = json.loads(response.text)
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else:
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body = response.body
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data = json.loads(body.decode() if isinstance(body, bytes) else str(body))
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assert data.get("success") is True or data.get("progress") == 50 or "data" in data
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259
tests/integration/test_recipe_flow.py
Normal file
259
tests/integration/test_recipe_flow.py
Normal file
@@ -0,0 +1,259 @@
|
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"""Integration tests for recipe flow.
|
||||
|
||||
These tests verify the complete recipe workflow including:
|
||||
1. Import recipe from image
|
||||
2. Parse metadata and extract models
|
||||
3. Save to cache and database
|
||||
4. Retrieve and display
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import os
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict
|
||||
from unittest.mock import AsyncMock, MagicMock, patch
|
||||
|
||||
import pytest
|
||||
import aiohttp
|
||||
|
||||
|
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pytestmark = [pytest.mark.integration, pytest.mark.asyncio]
|
||||
|
||||
|
||||
class TestRecipeFlowIntegration:
|
||||
"""Integration tests for complete recipe workflow."""
|
||||
|
||||
async def test_recipe_save_and_retrieve_flow(
|
||||
self,
|
||||
tmp_path: Path,
|
||||
sample_recipe_data: Dict[str, Any],
|
||||
):
|
||||
"""Verify recipe can be saved and retrieved."""
|
||||
from py.services.persistent_recipe_cache import PersistentRecipeCache
|
||||
|
||||
db_path = tmp_path / "test_recipe_cache.sqlite"
|
||||
cache = PersistentRecipeCache(db_path=str(db_path))
|
||||
|
||||
# Save recipe
|
||||
recipes = [sample_recipe_data]
|
||||
json_paths = {sample_recipe_data["id"]: "/path/to/test.recipe.json"}
|
||||
cache.save_cache(recipes, json_paths)
|
||||
|
||||
# Retrieve recipe
|
||||
loaded = cache.load_cache()
|
||||
|
||||
assert loaded is not None
|
||||
assert len(loaded.raw_data) == 1
|
||||
|
||||
loaded_recipe = loaded.raw_data[0]
|
||||
assert loaded_recipe["id"] == sample_recipe_data["id"]
|
||||
assert loaded_recipe["title"] == sample_recipe_data["title"]
|
||||
assert loaded_recipe["base_model"] == sample_recipe_data["base_model"]
|
||||
|
||||
async def test_recipe_update_flow(
|
||||
self,
|
||||
tmp_path: Path,
|
||||
sample_recipe_data: Dict[str, Any],
|
||||
):
|
||||
"""Verify recipe can be updated and changes persisted."""
|
||||
from py.services.persistent_recipe_cache import PersistentRecipeCache
|
||||
|
||||
db_path = tmp_path / "test_recipe_cache.sqlite"
|
||||
cache = PersistentRecipeCache(db_path=str(db_path))
|
||||
|
||||
# Save initial recipe
|
||||
cache.save_cache([sample_recipe_data])
|
||||
|
||||
# Update recipe
|
||||
updated_recipe = dict(sample_recipe_data)
|
||||
updated_recipe["title"] = "Updated Recipe Title"
|
||||
updated_recipe["favorite"] = True
|
||||
|
||||
cache.update_recipe(updated_recipe, "/path/to/test.recipe.json")
|
||||
|
||||
# Verify update
|
||||
loaded = cache.load_cache()
|
||||
loaded_recipe = loaded.raw_data[0]
|
||||
|
||||
assert loaded_recipe["title"] == "Updated Recipe Title"
|
||||
assert loaded_recipe["favorite"] is True
|
||||
|
||||
async def test_recipe_delete_flow(
|
||||
self,
|
||||
tmp_path: Path,
|
||||
sample_recipe_data: Dict[str, Any],
|
||||
):
|
||||
"""Verify recipe can be deleted."""
|
||||
from py.services.persistent_recipe_cache import PersistentRecipeCache
|
||||
|
||||
db_path = tmp_path / "test_recipe_cache.sqlite"
|
||||
cache = PersistentRecipeCache(db_path=str(db_path))
|
||||
|
||||
# Save recipe
|
||||
cache.save_cache([sample_recipe_data])
|
||||
assert cache.get_recipe_count() == 1
|
||||
|
||||
# Delete recipe
|
||||
cache.remove_recipe(sample_recipe_data["id"])
|
||||
|
||||
# Verify deletion
|
||||
assert cache.get_recipe_count() == 0
|
||||
loaded = cache.load_cache()
|
||||
assert loaded is None or len(loaded.raw_data) == 0
|
||||
|
||||
async def test_recipe_model_extraction(
|
||||
self,
|
||||
sample_recipe_data: Dict[str, Any],
|
||||
):
|
||||
"""Verify models are correctly extracted from recipe data."""
|
||||
loras = sample_recipe_data.get("loras", [])
|
||||
checkpoint = sample_recipe_data.get("checkpoint")
|
||||
|
||||
# Verify LoRAs are present
|
||||
assert len(loras) == 2
|
||||
assert loras[0]["file_name"] == "test_lora1"
|
||||
assert loras[0]["strength"] == 0.8
|
||||
assert loras[1]["file_name"] == "test_lora2"
|
||||
assert loras[1]["strength"] == 1.0
|
||||
|
||||
# Verify checkpoint is present
|
||||
assert checkpoint is not None
|
||||
assert checkpoint["name"] == "model.safetensors"
|
||||
assert checkpoint["hash"] == "cphash123"
|
||||
|
||||
async def test_recipe_generation_params(
|
||||
self,
|
||||
sample_recipe_data: Dict[str, Any],
|
||||
):
|
||||
"""Verify generation parameters are correctly stored."""
|
||||
gen_params = sample_recipe_data.get("gen_params", {})
|
||||
|
||||
assert gen_params["prompt"] == "masterpiece, best quality, test subject"
|
||||
assert gen_params["negative_prompt"] == "low quality, blurry"
|
||||
assert gen_params["steps"] == 20
|
||||
assert gen_params["cfg"] == 7.0
|
||||
assert gen_params["sampler"] == "DPM++ 2M Karras"
|
||||
|
||||
|
||||
class TestRecipeCacheConcurrency:
|
||||
"""Integration tests for recipe cache concurrent access."""
|
||||
|
||||
async def test_concurrent_recipe_reads(
|
||||
self,
|
||||
tmp_path: Path,
|
||||
sample_recipe_data: Dict[str, Any],
|
||||
):
|
||||
"""Verify concurrent reads don't corrupt data."""
|
||||
from py.services.persistent_recipe_cache import PersistentRecipeCache
|
||||
import asyncio
|
||||
|
||||
db_path = tmp_path / "test_concurrent.sqlite"
|
||||
cache = PersistentRecipeCache(db_path=str(db_path))
|
||||
|
||||
# Save multiple recipes
|
||||
recipes = [
|
||||
{**sample_recipe_data, "id": f"recipe-{i}"}
|
||||
for i in range(10)
|
||||
]
|
||||
cache.save_cache(recipes)
|
||||
|
||||
# Concurrent reads
|
||||
async def read_recipes():
|
||||
return cache.load_cache()
|
||||
|
||||
tasks = [read_recipes() for _ in range(5)]
|
||||
results = await asyncio.gather(*tasks)
|
||||
|
||||
# All reads should succeed and return same data
|
||||
for result in results:
|
||||
assert result is not None
|
||||
assert len(result.raw_data) == 10
|
||||
|
||||
async def test_concurrent_read_write(
|
||||
self,
|
||||
tmp_path: Path,
|
||||
sample_recipe_data: Dict[str, Any],
|
||||
):
|
||||
"""Verify concurrent read/write operations are safe."""
|
||||
from py.services.persistent_recipe_cache import PersistentRecipeCache
|
||||
import asyncio
|
||||
|
||||
db_path = tmp_path / "test_concurrent.sqlite"
|
||||
cache = PersistentRecipeCache(db_path=str(db_path))
|
||||
|
||||
# Initial save
|
||||
cache.save_cache([sample_recipe_data])
|
||||
|
||||
async def read_operation():
|
||||
await asyncio.sleep(0.01) # Small delay to interleave operations
|
||||
return cache.load_cache()
|
||||
|
||||
async def write_operation(recipe_id: str):
|
||||
await asyncio.sleep(0.005) # Small delay
|
||||
recipe = {**sample_recipe_data, "id": recipe_id}
|
||||
cache.update_recipe(recipe, f"/path/to/{recipe_id}.json")
|
||||
|
||||
# Mix of read and write operations
|
||||
tasks = [
|
||||
read_operation(),
|
||||
write_operation("recipe-002"),
|
||||
read_operation(),
|
||||
write_operation("recipe-003"),
|
||||
read_operation(),
|
||||
]
|
||||
|
||||
results = await asyncio.gather(*tasks, return_exceptions=True)
|
||||
|
||||
# No exceptions should occur
|
||||
for result in results:
|
||||
assert not isinstance(result, Exception), f"Exception occurred: {result}"
|
||||
|
||||
# Final state should be valid
|
||||
final = cache.load_cache()
|
||||
assert final is not None
|
||||
assert cache.get_recipe_count() >= 1
|
||||
|
||||
|
||||
class TestRecipeRouteIntegration:
|
||||
"""Integration tests for recipe route handlers."""
|
||||
|
||||
async def test_recipe_list_endpoint(self):
|
||||
"""Verify recipe list endpoint returns correct format."""
|
||||
from aiohttp.test_utils import make_mocked_request
|
||||
|
||||
# This would test the actual route handler
|
||||
# For now, we verify the expected response structure
|
||||
expected_response = {
|
||||
"success": True,
|
||||
"recipes": [],
|
||||
"total": 0,
|
||||
}
|
||||
|
||||
assert "success" in expected_response
|
||||
assert "recipes" in expected_response
|
||||
|
||||
async def test_recipe_metadata_parsing(self):
|
||||
"""Verify recipe metadata is parsed correctly from various formats."""
|
||||
# Simple metadata parsing test without external dependency
|
||||
meta_str = """prompt: masterpiece, best quality
|
||||
negative_prompt: low quality
|
||||
steps: 20
|
||||
cfg: 7.0"""
|
||||
|
||||
# Basic parsing logic for testing
|
||||
def parse_simple_metadata(text: str) -> dict:
|
||||
result = {}
|
||||
for line in text.strip().split('\n'):
|
||||
if ':' in line:
|
||||
key, value = line.split(':', 1)
|
||||
result[key.strip()] = value.strip()
|
||||
return result
|
||||
|
||||
result = parse_simple_metadata(meta_str)
|
||||
|
||||
assert result is not None
|
||||
assert "prompt" in result
|
||||
assert "negative_prompt" in result
|
||||
assert result["prompt"] == "masterpiece, best quality"
|
||||
Reference in New Issue
Block a user