Files
ComfyUI-Lora-Manager/tests/services/test_recipe_format_parser.py
Will Miao 073fb3a94a feat(recipe-parser): enhance LoRA metadata with local file matching
Add comprehensive local file matching for LoRA entries in recipe metadata:
- Add modelVersionId-based lookup via new _get_lora_from_version_index method
- Extend LoRA entry with additional fields: existsLocally, inLibrary, localPath, thumbnailUrl, size
- Improve local file detection by checking both SHA256 hash and modelVersionId
- Set default thumbnail URL and size values for missing LoRA files
- Add proper typing with Optional imports for better code clarity

This provides more accurate local file status and metadata for LoRA entries in recipes.
2025-11-29 08:29:05 +08:00

145 lines
4.3 KiB
Python

import json
import pytest
from py.recipes.parsers.recipe_format import RecipeFormatParser
from py.config import config
@pytest.mark.asyncio
async def test_recipe_format_parser_populates_checkpoint(monkeypatch):
checkpoint_info = {
"id": 777111,
"modelId": 333222,
"model": {"name": "Z Image", "type": "checkpoint"},
"name": "Turbo",
"images": [{"url": "https://image.civitai.com/checkpoints/original=true"}],
"baseModel": "sdxl",
"downloadUrl": "https://civitai.com/api/download/checkpoint",
"files": [
{
"type": "Model",
"primary": True,
"sizeKB": 2048,
"name": "Z_Image_Turbo.safetensors",
"hashes": {"SHA256": "ABC123FF"},
}
],
}
async def fake_metadata_provider():
class Provider:
async def get_model_version_info(self, version_id):
assert version_id == "777111"
return checkpoint_info, None
return Provider()
monkeypatch.setattr(
"py.recipes.parsers.recipe_format.get_default_metadata_provider",
fake_metadata_provider,
)
parser = RecipeFormatParser()
recipe_metadata = {
"title": "Z Recipe",
"base_model": "",
"loras": [],
"gen_params": {"steps": 20},
"tags": ["test"],
"checkpoint": {
"modelVersionId": 777111,
"modelId": 333222,
"name": "Z Image",
"version": "Turbo",
},
}
metadata_text = f"Recipe metadata: {json.dumps(recipe_metadata)}"
result = await parser.parse_metadata(metadata_text)
checkpoint = result.get("checkpoint")
assert checkpoint is not None
assert checkpoint["name"] == "Z Image"
assert checkpoint["version"] == "Turbo"
assert checkpoint["hash"] == "abc123ff"
assert checkpoint["file_name"] == "Z_Image_Turbo"
assert result["base_model"] == "sdxl"
assert result["model"] == checkpoint
@pytest.mark.asyncio
async def test_recipe_format_parser_marks_lora_in_library_by_version(monkeypatch):
async def fake_metadata_provider():
class Provider:
async def get_model_version_info(self, version_id):
assert version_id == 1244133
return None, None
return Provider()
monkeypatch.setattr(
"py.recipes.parsers.recipe_format.get_default_metadata_provider",
fake_metadata_provider,
)
cached_entry = {
"file_path": "/loras/moriimee.safetensors",
"file_name": "MoriiMee Gothic Niji | LoRA Style",
"size": 4096,
"sha256": "abc123",
"preview_url": "/previews/moriimee.png",
}
class FakeCache:
def __init__(self, entry):
self.raw_data = [entry]
self.version_index = {1244133: entry}
class FakeLoraScanner:
def __init__(self, entry):
self._cache = FakeCache(entry)
def has_hash(self, sha256):
return False
async def get_cached_data(self):
return self._cache
class FakeRecipeScanner:
def __init__(self, entry):
self._lora_scanner = FakeLoraScanner(entry)
parser = RecipeFormatParser()
recipe_metadata = {
"title": "Semi-realism",
"base_model": "Illustrious",
"loras": [
{
"modelVersionId": 1244133,
"modelName": "MoriiMee Gothic Niji | LoRA Style",
"modelVersionName": "V1 Ilustrious",
"strength": 0.5,
"hash": "",
}
],
"gen_params": {"steps": 29},
"tags": ["woman"],
}
metadata_text = f"Recipe metadata: {json.dumps(recipe_metadata)}"
result = await parser.parse_metadata(
metadata_text, recipe_scanner=FakeRecipeScanner(cached_entry)
)
lora_entry = result["loras"][0]
assert lora_entry["existsLocally"] is True
assert lora_entry["inLibrary"] is True
assert lora_entry["localPath"] == cached_entry["file_path"]
assert lora_entry["file_name"] == cached_entry["file_name"]
assert lora_entry["hash"] == cached_entry["sha256"]
assert lora_entry["size"] == cached_entry["size"]
assert lora_entry["thumbnailUrl"] == config.get_preview_static_url(
cached_entry["preview_url"]
)