Files
ComfyUI-Lora-Manager/tests/services/test_base_model_service.py

297 lines
8.8 KiB
Python

import pytest
import importlib
import importlib.util
import sys
from pathlib import Path
ROOT = Path(__file__).resolve().parents[2]
if str(ROOT) not in sys.path:
sys.path.insert(0, str(ROOT))
def import_from(module_name: str):
existing = sys.modules.get("py")
if existing is None or getattr(existing, "__file__", "") != str(ROOT / "py/__init__.py"):
sys.modules.pop("py", None)
spec = importlib.util.spec_from_file_location("py", ROOT / "py/__init__.py")
module = importlib.util.module_from_spec(spec)
assert spec and spec.loader
spec.loader.exec_module(module) # type: ignore[union-attr]
module.__path__ = [str(ROOT / "py")]
sys.modules["py"] = module
return importlib.import_module(module_name)
BaseModelService = import_from("py.services.base_model_service").BaseModelService
model_query_module = import_from("py.services.model_query")
ModelCacheRepository = model_query_module.ModelCacheRepository
ModelFilterSet = model_query_module.ModelFilterSet
SearchStrategy = model_query_module.SearchStrategy
SortParams = model_query_module.SortParams
BaseModelMetadata = import_from("py.utils.models").BaseModelMetadata
class StubSettings:
def __init__(self, values):
self._values = dict(values)
def get(self, key, default=None):
return self._values.get(key, default)
class DummyService(BaseModelService):
async def format_response(self, model_data):
return model_data
class StubRepository:
def __init__(self, data):
self._data = list(data)
self.parse_sort_calls = []
self.fetch_sorted_calls = []
def parse_sort(self, sort_by):
params = ModelCacheRepository.parse_sort(sort_by)
self.parse_sort_calls.append(sort_by)
return params
async def fetch_sorted(self, params):
self.fetch_sorted_calls.append(params)
return list(self._data)
class StubFilterSet:
def __init__(self, result):
self.result = list(result)
self.calls = []
def apply(self, data, criteria):
self.calls.append((list(data), criteria))
return list(self.result)
class StubSearchStrategy:
def __init__(self, search_result):
self.search_result = list(search_result)
self.normalize_calls = []
self.apply_calls = []
def normalize_options(self, options):
self.normalize_calls.append(options)
normalized = {"recursive": True}
if options:
normalized.update(options)
return normalized
def apply(self, data, search_term, options, fuzzy):
self.apply_calls.append((list(data), search_term, options, fuzzy))
return list(self.search_result)
@pytest.mark.asyncio
async def test_get_paginated_data_uses_injected_collaborators():
data = [
{"model_name": "Alpha", "folder": "root"},
{"model_name": "Beta", "folder": "root"},
]
repository = StubRepository(data)
filter_set = StubFilterSet([{"model_name": "Filtered"}])
search_strategy = StubSearchStrategy([{"model_name": "SearchResult"}])
settings = StubSettings({})
service = DummyService(
model_type="stub",
scanner=object(),
metadata_class=BaseModelMetadata,
cache_repository=repository,
filter_set=filter_set,
search_strategy=search_strategy,
settings_provider=settings,
)
response = await service.get_paginated_data(
page=1,
page_size=5,
sort_by="name:desc",
folder="root",
search="query",
fuzzy_search=True,
base_models=["base"],
tags=["tag"],
search_options={"recursive": False},
favorites_only=True,
)
assert repository.parse_sort_calls == ["name:desc"]
assert repository.fetch_sorted_calls and isinstance(repository.fetch_sorted_calls[0], SortParams)
sort_params = repository.fetch_sorted_calls[0]
assert sort_params.key == "name" and sort_params.order == "desc"
assert filter_set.calls, "FilterSet should be invoked"
call_data, criteria = filter_set.calls[0]
assert call_data == data
assert criteria.folder == "root"
assert criteria.base_models == ["base"]
assert criteria.tags == ["tag"]
assert criteria.favorites_only is True
assert criteria.search_options.get("recursive") is False
assert search_strategy.normalize_calls == [{"recursive": False}, {"recursive": False}]
assert search_strategy.apply_calls == [([{"model_name": "Filtered"}], "query", {"recursive": False}, True)]
assert response["items"] == search_strategy.search_result
assert response["total"] == len(search_strategy.search_result)
assert response["page"] == 1
assert response["page_size"] == 5
class FakeCache:
def __init__(self, items):
self.items = list(items)
async def get_sorted_data(self, sort_key, order):
if sort_key == "name":
data = sorted(self.items, key=lambda x: x["model_name"].lower())
if order == "desc":
data.reverse()
else:
data = list(self.items)
return data
class FakeScanner:
def __init__(self, cache):
self._cache = cache
async def get_cached_data(self, *_, **__):
return self._cache
@pytest.mark.asyncio
async def test_get_paginated_data_filters_and_searches_combination():
items = [
{
"model_name": "Alpha",
"file_name": "alpha.safetensors",
"folder": "root/sub",
"tags": ["tag1"],
"base_model": "v1",
"favorite": True,
"preview_nsfw_level": 0,
},
{
"model_name": "Beta",
"file_name": "beta.safetensors",
"folder": "root",
"tags": ["tag2"],
"base_model": "v2",
"favorite": False,
"preview_nsfw_level": 999,
},
{
"model_name": "Gamma",
"file_name": "gamma.safetensors",
"folder": "root/sub2",
"tags": ["tag1", "tag3"],
"base_model": "v1",
"favorite": True,
"preview_nsfw_level": 0,
"civitai": {"creator": {"username": "artist"}},
},
]
cache = FakeCache(items)
scanner = FakeScanner(cache)
settings = StubSettings({"show_only_sfw": True})
service = DummyService(
model_type="stub",
scanner=scanner,
metadata_class=BaseModelMetadata,
cache_repository=ModelCacheRepository(scanner),
filter_set=ModelFilterSet(settings),
search_strategy=SearchStrategy(),
settings_provider=settings,
)
response = await service.get_paginated_data(
page=1,
page_size=1,
sort_by="name:asc",
folder="root",
search="artist",
base_models=["v1"],
tags=["tag1"],
search_options={"creator": True, "tags": True},
favorites_only=True,
)
assert response["items"] == [items[2]]
assert response["total"] == 1
assert response["page"] == 1
assert response["page_size"] == 1
assert response["total_pages"] == 1
class PassThroughFilterSet:
def __init__(self):
self.calls = []
def apply(self, data, criteria):
self.calls.append(criteria)
return list(data)
class NoSearchStrategy:
def __init__(self):
self.normalize_calls = []
self.apply_called = False
def normalize_options(self, options):
self.normalize_calls.append(options)
return {"recursive": True}
def apply(self, *args, **kwargs):
self.apply_called = True
pytest.fail("Search should not be invoked when no search term is provided")
@pytest.mark.asyncio
async def test_get_paginated_data_paginates_without_search():
items = [
{"model_name": name, "folder": "root"}
for name in ["Alpha", "Beta", "Gamma", "Delta", "Epsilon"]
]
repository = StubRepository(items)
filter_set = PassThroughFilterSet()
search_strategy = NoSearchStrategy()
settings = StubSettings({})
service = DummyService(
model_type="stub",
scanner=object(),
metadata_class=BaseModelMetadata,
cache_repository=repository,
filter_set=filter_set,
search_strategy=search_strategy,
settings_provider=settings,
)
response = await service.get_paginated_data(
page=2,
page_size=2,
sort_by="name:asc",
)
assert repository.parse_sort_calls == ["name:asc"]
assert len(repository.fetch_sorted_calls) == 1
assert filter_set.calls and filter_set.calls[0].favorites_only is False
assert search_strategy.apply_called is False
assert response["items"] == items[2:4]
assert response["total"] == len(items)
assert response["page"] == 2
assert response["page_size"] == 2
assert response["total_pages"] == 3