mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-08-08 23:10:15 -03:00
d2f955266d
Fix ~790 basedpyright errors across the test suite: - Type stub subclasses of real production classes with super().__init__() - Add missing generic type arguments and Dict[str, Any] annotations - Add None guards before subscript/member access - Adapt tests to production API changes (removed dead handlers, PersistentModelCache.get_default, _i18n_filter_added location)
147 lines
4.4 KiB
Python
147 lines
4.4 KiB
Python
import json
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from typing import Any, Dict
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import pytest
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from py.recipes.parsers.recipe_format import RecipeFormatParser
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from py.config import config
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@pytest.mark.asyncio
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async def test_recipe_format_parser_populates_checkpoint(monkeypatch):
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checkpoint_info = {
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"id": 777111,
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"modelId": 333222,
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"model": {"name": "Z Image", "type": "checkpoint"},
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"name": "Turbo",
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"images": [{"url": "https://image.civitai.com/checkpoints/original=true"}],
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"baseModel": "sdxl",
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"downloadUrl": "https://civitai.com/api/download/checkpoint",
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"files": [
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{
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"type": "Model",
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"primary": True,
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"sizeKB": 2048,
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"name": "Z_Image_Turbo.safetensors",
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"hashes": {"SHA256": "ABC123FF"},
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}
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],
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}
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async def fake_metadata_provider():
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class Provider:
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async def get_model_version_info(self, version_id):
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assert version_id == "777111"
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return checkpoint_info, None
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return Provider()
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monkeypatch.setattr(
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"py.recipes.parsers.recipe_format.get_default_metadata_provider",
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fake_metadata_provider,
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)
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parser = RecipeFormatParser()
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recipe_metadata = {
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"title": "Z Recipe",
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"base_model": "",
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"loras": [],
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"gen_params": {"steps": 20},
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"tags": ["test"],
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"checkpoint": {
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"modelVersionId": 777111,
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"modelId": 333222,
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"name": "Z Image",
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"version": "Turbo",
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},
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}
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metadata_text = f"Recipe metadata: {json.dumps(recipe_metadata)}"
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result = await parser.parse_metadata(metadata_text)
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checkpoint = result.get("checkpoint")
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assert checkpoint is not None
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assert checkpoint["name"] == "Z Image"
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assert checkpoint["version"] == "Turbo"
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assert checkpoint["hash"] == "abc123ff"
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assert checkpoint["file_name"] == "Z_Image_Turbo"
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assert result["base_model"] == "sdxl"
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assert result["model"] == checkpoint
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@pytest.mark.asyncio
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async def test_recipe_format_parser_marks_lora_in_library_by_version(monkeypatch):
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async def fake_metadata_provider():
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class Provider:
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async def get_model_version_info(self, version_id):
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assert version_id == 1244133
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return None, None
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return Provider()
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monkeypatch.setattr(
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"py.recipes.parsers.recipe_format.get_default_metadata_provider",
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fake_metadata_provider,
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)
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cached_entry: Dict[str, Any] = {
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"file_path": "/loras/moriimee.safetensors",
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"file_name": "MoriiMee Gothic Niji | LoRA Style",
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"size": 4096,
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"sha256": "abc123",
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"preview_url": "/previews/moriimee.png",
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}
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class FakeCache:
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def __init__(self, entry):
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self.raw_data = [entry]
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self.version_index = {1244133: entry}
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class FakeLoraScanner:
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def __init__(self, entry):
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self._cache = FakeCache(entry)
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def has_hash(self, sha256):
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return False
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async def get_cached_data(self):
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return self._cache
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class FakeRecipeScanner:
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def __init__(self, entry):
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self._lora_scanner = FakeLoraScanner(entry)
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parser = RecipeFormatParser()
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recipe_metadata = {
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"title": "Semi-realism",
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"base_model": "Illustrious",
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"loras": [
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{
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"modelVersionId": 1244133,
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"modelName": "MoriiMee Gothic Niji | LoRA Style",
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"modelVersionName": "V1 Ilustrious",
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"strength": 0.5,
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"hash": "",
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}
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],
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"gen_params": {"steps": 29},
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"tags": ["woman"],
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}
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metadata_text = f"Recipe metadata: {json.dumps(recipe_metadata)}"
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result = await parser.parse_metadata(
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metadata_text, recipe_scanner=FakeRecipeScanner(cached_entry)
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)
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lora_entry = result["loras"][0]
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assert lora_entry["existsLocally"] is True
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assert lora_entry["inLibrary"] is True
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assert lora_entry["localPath"] == cached_entry["file_path"]
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assert lora_entry["file_name"] == cached_entry["file_name"]
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assert lora_entry["hash"] == cached_entry["sha256"]
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assert lora_entry["size"] == cached_entry["size"]
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assert lora_entry["thumbnailUrl"] == config.get_preview_static_url(
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cached_entry["preview_url"]
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)
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