mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-22 05:32:12 -03:00
e335a527d4
- 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)
260 lines
8.3 KiB
Python
260 lines
8.3 KiB
Python
"""Integration tests for recipe flow.
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These tests verify the complete recipe workflow including:
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1. Import recipe from image
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2. Parse metadata and extract models
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3. Save to cache and database
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4. Retrieve and display
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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
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import pytest
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import aiohttp
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pytestmark = [pytest.mark.integration, pytest.mark.asyncio]
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class TestRecipeFlowIntegration:
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"""Integration tests for complete recipe workflow."""
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async def test_recipe_save_and_retrieve_flow(
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self,
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tmp_path: Path,
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sample_recipe_data: Dict[str, Any],
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):
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"""Verify recipe can be saved and retrieved."""
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from py.services.persistent_recipe_cache import PersistentRecipeCache
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db_path = tmp_path / "test_recipe_cache.sqlite"
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cache = PersistentRecipeCache(db_path=str(db_path))
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# Save recipe
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recipes = [sample_recipe_data]
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json_paths = {sample_recipe_data["id"]: "/path/to/test.recipe.json"}
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cache.save_cache(recipes, json_paths)
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# Retrieve recipe
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loaded = cache.load_cache()
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assert loaded is not None
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assert len(loaded.raw_data) == 1
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loaded_recipe = loaded.raw_data[0]
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assert loaded_recipe["id"] == sample_recipe_data["id"]
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assert loaded_recipe["title"] == sample_recipe_data["title"]
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assert loaded_recipe["base_model"] == sample_recipe_data["base_model"]
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async def test_recipe_update_flow(
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self,
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tmp_path: Path,
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sample_recipe_data: Dict[str, Any],
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):
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"""Verify recipe can be updated and changes persisted."""
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from py.services.persistent_recipe_cache import PersistentRecipeCache
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db_path = tmp_path / "test_recipe_cache.sqlite"
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cache = PersistentRecipeCache(db_path=str(db_path))
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# Save initial recipe
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cache.save_cache([sample_recipe_data])
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# Update recipe
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updated_recipe = dict(sample_recipe_data)
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updated_recipe["title"] = "Updated Recipe Title"
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updated_recipe["favorite"] = True
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cache.update_recipe(updated_recipe, "/path/to/test.recipe.json")
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# Verify update
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loaded = cache.load_cache()
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loaded_recipe = loaded.raw_data[0]
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assert loaded_recipe["title"] == "Updated Recipe Title"
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assert loaded_recipe["favorite"] is True
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async def test_recipe_delete_flow(
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self,
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tmp_path: Path,
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sample_recipe_data: Dict[str, Any],
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):
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"""Verify recipe can be deleted."""
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from py.services.persistent_recipe_cache import PersistentRecipeCache
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db_path = tmp_path / "test_recipe_cache.sqlite"
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cache = PersistentRecipeCache(db_path=str(db_path))
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# Save recipe
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cache.save_cache([sample_recipe_data])
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assert cache.get_recipe_count() == 1
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# Delete recipe
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cache.remove_recipe(sample_recipe_data["id"])
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# Verify deletion
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assert cache.get_recipe_count() == 0
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loaded = cache.load_cache()
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assert loaded is None or len(loaded.raw_data) == 0
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async def test_recipe_model_extraction(
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self,
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sample_recipe_data: Dict[str, Any],
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):
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"""Verify models are correctly extracted from recipe data."""
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loras = sample_recipe_data.get("loras", [])
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checkpoint = sample_recipe_data.get("checkpoint")
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# Verify LoRAs are present
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assert len(loras) == 2
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assert loras[0]["file_name"] == "test_lora1"
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assert loras[0]["strength"] == 0.8
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assert loras[1]["file_name"] == "test_lora2"
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assert loras[1]["strength"] == 1.0
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# Verify checkpoint is present
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assert checkpoint is not None
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assert checkpoint["name"] == "model.safetensors"
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assert checkpoint["hash"] == "cphash123"
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async def test_recipe_generation_params(
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self,
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sample_recipe_data: Dict[str, Any],
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):
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"""Verify generation parameters are correctly stored."""
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gen_params = sample_recipe_data.get("gen_params", {})
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assert gen_params["prompt"] == "masterpiece, best quality, test subject"
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assert gen_params["negative_prompt"] == "low quality, blurry"
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assert gen_params["steps"] == 20
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assert gen_params["cfg"] == 7.0
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assert gen_params["sampler"] == "DPM++ 2M Karras"
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class TestRecipeCacheConcurrency:
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"""Integration tests for recipe cache concurrent access."""
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async def test_concurrent_recipe_reads(
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self,
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tmp_path: Path,
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sample_recipe_data: Dict[str, Any],
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):
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"""Verify concurrent reads don't corrupt data."""
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from py.services.persistent_recipe_cache import PersistentRecipeCache
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import asyncio
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db_path = tmp_path / "test_concurrent.sqlite"
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cache = PersistentRecipeCache(db_path=str(db_path))
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# Save multiple recipes
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recipes = [
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{**sample_recipe_data, "id": f"recipe-{i}"}
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for i in range(10)
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]
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cache.save_cache(recipes)
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# Concurrent reads
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async def read_recipes():
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return cache.load_cache()
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tasks = [read_recipes() for _ in range(5)]
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results = await asyncio.gather(*tasks)
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# All reads should succeed and return same data
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for result in results:
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assert result is not None
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assert len(result.raw_data) == 10
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async def test_concurrent_read_write(
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self,
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tmp_path: Path,
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sample_recipe_data: Dict[str, Any],
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):
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"""Verify concurrent read/write operations are safe."""
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from py.services.persistent_recipe_cache import PersistentRecipeCache
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import asyncio
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db_path = tmp_path / "test_concurrent.sqlite"
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cache = PersistentRecipeCache(db_path=str(db_path))
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# Initial save
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cache.save_cache([sample_recipe_data])
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async def read_operation():
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await asyncio.sleep(0.01) # Small delay to interleave operations
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return cache.load_cache()
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async def write_operation(recipe_id: str):
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await asyncio.sleep(0.005) # Small delay
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recipe = {**sample_recipe_data, "id": recipe_id}
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cache.update_recipe(recipe, f"/path/to/{recipe_id}.json")
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# Mix of read and write operations
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tasks = [
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read_operation(),
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write_operation("recipe-002"),
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read_operation(),
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write_operation("recipe-003"),
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read_operation(),
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]
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results = await asyncio.gather(*tasks, return_exceptions=True)
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# No exceptions should occur
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for result in results:
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assert not isinstance(result, Exception), f"Exception occurred: {result}"
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# Final state should be valid
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final = cache.load_cache()
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assert final is not None
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assert cache.get_recipe_count() >= 1
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class TestRecipeRouteIntegration:
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"""Integration tests for recipe route handlers."""
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async def test_recipe_list_endpoint(self):
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"""Verify recipe list endpoint returns correct format."""
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from aiohttp.test_utils import make_mocked_request
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# This would test the actual route handler
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# For now, we verify the expected response structure
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expected_response = {
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"success": True,
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"recipes": [],
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"total": 0,
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}
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assert "success" in expected_response
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assert "recipes" in expected_response
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async def test_recipe_metadata_parsing(self):
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"""Verify recipe metadata is parsed correctly from various formats."""
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# Simple metadata parsing test without external dependency
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meta_str = """prompt: masterpiece, best quality
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negative_prompt: low quality
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steps: 20
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cfg: 7.0"""
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# Basic parsing logic for testing
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def parse_simple_metadata(text: str) -> dict:
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result = {}
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for line in text.strip().split('\n'):
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if ':' in line:
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key, value = line.split(':', 1)
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result[key.strip()] = value.strip()
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return result
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result = parse_simple_metadata(meta_str)
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assert result is not None
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assert "prompt" in result
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assert "negative_prompt" in result
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assert result["prompt"] == "masterpiece, best quality"
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