mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-21 21:22:11 -03:00
604 lines
20 KiB
Python
604 lines
20 KiB
Python
import asyncio
|
|
import json
|
|
import os
|
|
from pathlib import Path
|
|
from types import SimpleNamespace
|
|
|
|
import pytest
|
|
|
|
from py.config import config
|
|
from py.services.recipe_scanner import RecipeScanner
|
|
from py.utils.utils import calculate_recipe_fingerprint
|
|
|
|
|
|
class StubHashIndex:
|
|
def __init__(self) -> None:
|
|
self._hash_to_path: dict[str, str] = {}
|
|
|
|
def get_path(self, hash_value: str) -> str | None:
|
|
return self._hash_to_path.get(hash_value)
|
|
|
|
|
|
class StubLoraScanner:
|
|
def __init__(self) -> None:
|
|
self._hash_index = StubHashIndex()
|
|
self._hash_meta: dict[str, dict[str, str]] = {}
|
|
self._models_by_name: dict[str, dict] = {}
|
|
self._cache = SimpleNamespace(raw_data=[], version_index={})
|
|
|
|
async def get_cached_data(self):
|
|
return self._cache
|
|
|
|
def has_hash(self, hash_value: str) -> bool:
|
|
return hash_value.lower() in self._hash_meta
|
|
|
|
def get_preview_url_by_hash(self, hash_value: str) -> str:
|
|
meta = self._hash_meta.get(hash_value.lower())
|
|
return meta.get("preview_url", "") if meta else ""
|
|
|
|
def get_path_by_hash(self, hash_value: str) -> str | None:
|
|
meta = self._hash_meta.get(hash_value.lower())
|
|
return meta.get("path") if meta else None
|
|
|
|
async def get_model_info_by_name(self, name: str):
|
|
return self._models_by_name.get(name)
|
|
|
|
def register_model(self, name: str, info: dict) -> None:
|
|
self._models_by_name[name] = info
|
|
hash_value = (info.get("sha256") or "").lower()
|
|
version_id = info.get("civitai", {}).get("id")
|
|
if hash_value:
|
|
self._hash_meta[hash_value] = {
|
|
"path": info.get("file_path", ""),
|
|
"preview_url": info.get("preview_url", ""),
|
|
}
|
|
self._hash_index._hash_to_path[hash_value] = info.get("file_path", "")
|
|
if version_id is not None:
|
|
self._cache.version_index[int(version_id)] = {
|
|
"file_path": info.get("file_path", ""),
|
|
"sha256": hash_value,
|
|
"preview_url": info.get("preview_url", ""),
|
|
"civitai": info.get("civitai", {}),
|
|
}
|
|
self._cache.raw_data.append({
|
|
"sha256": info.get("sha256", ""),
|
|
"path": info.get("file_path", ""),
|
|
"civitai": info.get("civitai", {}),
|
|
})
|
|
|
|
|
|
@pytest.fixture
|
|
def recipe_scanner(tmp_path: Path, monkeypatch):
|
|
RecipeScanner._instance = None
|
|
monkeypatch.setattr(config, "loras_roots", [str(tmp_path)])
|
|
stub = StubLoraScanner()
|
|
scanner = RecipeScanner(lora_scanner=stub)
|
|
asyncio.run(scanner.refresh_cache(force=True))
|
|
yield scanner, stub
|
|
RecipeScanner._instance = None
|
|
|
|
|
|
async def test_add_recipe_during_concurrent_reads(recipe_scanner):
|
|
scanner, _ = recipe_scanner
|
|
|
|
initial_recipe = {
|
|
"id": "one",
|
|
"file_path": "path/a.png",
|
|
"title": "First",
|
|
"modified": 1.0,
|
|
"created_date": 1.0,
|
|
"loras": [],
|
|
}
|
|
await scanner.add_recipe(initial_recipe)
|
|
|
|
new_recipe = {
|
|
"id": "two",
|
|
"file_path": "path/b.png",
|
|
"title": "Second",
|
|
"modified": 2.0,
|
|
"created_date": 2.0,
|
|
"loras": [],
|
|
}
|
|
|
|
async def reader_task():
|
|
for _ in range(5):
|
|
cache = await scanner.get_cached_data()
|
|
_ = [item["id"] for item in cache.raw_data]
|
|
await asyncio.sleep(0)
|
|
|
|
await asyncio.gather(reader_task(), reader_task(), scanner.add_recipe(new_recipe))
|
|
await asyncio.sleep(0)
|
|
cache = await scanner.get_cached_data()
|
|
|
|
assert {item["id"] for item in cache.raw_data} == {"one", "two"}
|
|
assert len(cache.sorted_by_name) == len(cache.raw_data)
|
|
|
|
|
|
async def test_remove_recipe_during_reads(recipe_scanner):
|
|
scanner, _ = recipe_scanner
|
|
|
|
recipe_ids = ["alpha", "beta", "gamma"]
|
|
for index, recipe_id in enumerate(recipe_ids):
|
|
await scanner.add_recipe({
|
|
"id": recipe_id,
|
|
"file_path": f"path/{recipe_id}.png",
|
|
"title": recipe_id,
|
|
"modified": float(index),
|
|
"created_date": float(index),
|
|
"loras": [],
|
|
})
|
|
|
|
async def reader_task():
|
|
for _ in range(5):
|
|
cache = await scanner.get_cached_data()
|
|
_ = list(cache.sorted_by_date)
|
|
await asyncio.sleep(0)
|
|
|
|
await asyncio.gather(reader_task(), scanner.remove_recipe("beta"))
|
|
await asyncio.sleep(0)
|
|
cache = await scanner.get_cached_data()
|
|
|
|
assert {item["id"] for item in cache.raw_data} == {"alpha", "gamma"}
|
|
|
|
|
|
async def test_update_lora_entry_updates_cache_and_file(tmp_path: Path, recipe_scanner):
|
|
scanner, stub = recipe_scanner
|
|
recipes_dir = Path(config.loras_roots[0]) / "recipes"
|
|
recipes_dir.mkdir(parents=True, exist_ok=True)
|
|
|
|
recipe_id = "recipe-1"
|
|
recipe_path = recipes_dir / f"{recipe_id}.recipe.json"
|
|
recipe_data = {
|
|
"id": recipe_id,
|
|
"file_path": str(tmp_path / "image.png"),
|
|
"title": "Original",
|
|
"modified": 0.0,
|
|
"created_date": 0.0,
|
|
"loras": [
|
|
{"file_name": "old", "strength": 1.0, "hash": "", "isDeleted": True, "exclude": True},
|
|
],
|
|
}
|
|
recipe_path.write_text(json.dumps(recipe_data))
|
|
|
|
await scanner.add_recipe(dict(recipe_data))
|
|
|
|
target_hash = "abc123"
|
|
target_info = {
|
|
"sha256": target_hash,
|
|
"file_path": str(tmp_path / "loras" / "target.safetensors"),
|
|
"preview_url": "preview.png",
|
|
"civitai": {"id": 42, "name": "v1", "model": {"name": "Target"}},
|
|
}
|
|
stub.register_model("target", target_info)
|
|
|
|
updated_recipe, updated_lora = await scanner.update_lora_entry(
|
|
recipe_id,
|
|
0,
|
|
target_name="target",
|
|
target_lora=target_info,
|
|
)
|
|
|
|
assert updated_lora["inLibrary"] is True
|
|
assert updated_lora["localPath"] == target_info["file_path"]
|
|
assert updated_lora["hash"] == target_hash
|
|
|
|
with recipe_path.open("r", encoding="utf-8") as file_obj:
|
|
persisted = json.load(file_obj)
|
|
|
|
expected_fingerprint = calculate_recipe_fingerprint(persisted["loras"])
|
|
assert persisted["fingerprint"] == expected_fingerprint
|
|
|
|
cache = await scanner.get_cached_data()
|
|
cached_recipe = next(item for item in cache.raw_data if item["id"] == recipe_id)
|
|
assert cached_recipe["loras"][0]["hash"] == target_hash
|
|
assert cached_recipe["fingerprint"] == expected_fingerprint
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_load_recipe_rewrites_missing_image_path(tmp_path: Path, recipe_scanner):
|
|
scanner, _ = recipe_scanner
|
|
recipes_dir = Path(config.loras_roots[0]) / "recipes"
|
|
recipes_dir.mkdir(parents=True, exist_ok=True)
|
|
|
|
recipe_id = "moved"
|
|
old_root = tmp_path / "old_root"
|
|
old_path = old_root / "recipes" / f"{recipe_id}.webp"
|
|
recipe_path = recipes_dir / f"{recipe_id}.recipe.json"
|
|
current_image = recipes_dir / f"{recipe_id}.webp"
|
|
current_image.write_bytes(b"image-bytes")
|
|
|
|
recipe_data = {
|
|
"id": recipe_id,
|
|
"file_path": str(old_path),
|
|
"title": "Relocated",
|
|
"modified": 0.0,
|
|
"created_date": 0.0,
|
|
"loras": [],
|
|
}
|
|
recipe_path.write_text(json.dumps(recipe_data))
|
|
|
|
loaded = await scanner._load_recipe_file(str(recipe_path))
|
|
|
|
expected_path = os.path.normpath(str(current_image))
|
|
assert loaded["file_path"] == expected_path
|
|
|
|
persisted = json.loads(recipe_path.read_text())
|
|
assert persisted["file_path"] == expected_path
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_load_recipe_upgrades_string_checkpoint(tmp_path: Path, recipe_scanner):
|
|
scanner, _ = recipe_scanner
|
|
recipes_dir = Path(config.loras_roots[0]) / "recipes"
|
|
recipes_dir.mkdir(parents=True, exist_ok=True)
|
|
|
|
recipe_id = "legacy-checkpoint"
|
|
image_path = recipes_dir / f"{recipe_id}.webp"
|
|
recipe_path = recipes_dir / f"{recipe_id}.recipe.json"
|
|
recipe_path.write_text(
|
|
json.dumps(
|
|
{
|
|
"id": recipe_id,
|
|
"file_path": str(image_path),
|
|
"title": "Legacy",
|
|
"modified": 0.0,
|
|
"created_date": 0.0,
|
|
"loras": [],
|
|
"checkpoint": "sd15.safetensors",
|
|
}
|
|
)
|
|
)
|
|
|
|
loaded = await scanner._load_recipe_file(str(recipe_path))
|
|
|
|
assert isinstance(loaded["checkpoint"], dict)
|
|
assert loaded["checkpoint"]["name"] == "sd15.safetensors"
|
|
assert loaded["checkpoint"]["file_name"] == "sd15"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_get_paginated_data_normalizes_legacy_checkpoint(recipe_scanner):
|
|
scanner, _ = recipe_scanner
|
|
image_path = Path(config.loras_roots[0]) / "legacy.webp"
|
|
await scanner.add_recipe(
|
|
{
|
|
"id": "legacy-checkpoint",
|
|
"file_path": str(image_path),
|
|
"title": "Legacy",
|
|
"modified": 0.0,
|
|
"created_date": 0.0,
|
|
"loras": [],
|
|
"checkpoint": ["legacy.safetensors"],
|
|
}
|
|
)
|
|
await asyncio.sleep(0)
|
|
|
|
result = await scanner.get_paginated_data(page=1, page_size=5)
|
|
|
|
checkpoint = result["items"][0]["checkpoint"]
|
|
assert checkpoint["name"] == "legacy.safetensors"
|
|
assert checkpoint["file_name"] == "legacy"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_get_recipe_by_id_handles_non_dict_checkpoint(recipe_scanner):
|
|
scanner, _ = recipe_scanner
|
|
image_path = Path(config.loras_roots[0]) / "by-id.webp"
|
|
await scanner.add_recipe(
|
|
{
|
|
"id": "by-id-checkpoint",
|
|
"file_path": str(image_path),
|
|
"title": "ById",
|
|
"modified": 0.0,
|
|
"created_date": 0.0,
|
|
"loras": [],
|
|
"checkpoint": ("by-id.safetensors",),
|
|
}
|
|
)
|
|
|
|
recipe = await scanner.get_recipe_by_id("by-id-checkpoint")
|
|
|
|
assert recipe["checkpoint"]["name"] == "by-id.safetensors"
|
|
assert recipe["checkpoint"]["file_name"] == "by-id"
|
|
|
|
|
|
def test_enrich_uses_version_index_when_hash_missing(recipe_scanner):
|
|
scanner, stub = recipe_scanner
|
|
version_id = 77
|
|
file_path = str(Path(config.loras_roots[0]) / "loras" / "version-entry.safetensors")
|
|
registered = {
|
|
"sha256": "deadbeef",
|
|
"file_path": file_path,
|
|
"preview_url": "preview-from-cache.png",
|
|
"civitai": {"id": version_id},
|
|
}
|
|
stub.register_model("version-entry", registered)
|
|
|
|
lora = {"hash": "", "file_name": "", "modelVersionId": version_id, "strength": 0.5}
|
|
|
|
enriched = scanner._enrich_lora_entry(dict(lora))
|
|
|
|
assert enriched["inLibrary"] is True
|
|
assert enriched["hash"] == registered["sha256"]
|
|
assert enriched["localPath"] == file_path
|
|
assert enriched["file_name"] == Path(file_path).stem
|
|
assert enriched["preview_url"] == registered["preview_url"]
|
|
|
|
|
|
def test_enrich_formats_absolute_preview_paths(recipe_scanner, tmp_path):
|
|
scanner, stub = recipe_scanner
|
|
version_id = 88
|
|
preview_path = tmp_path / "loras" / "version-entry.preview.jpeg"
|
|
preview_path.parent.mkdir(parents=True, exist_ok=True)
|
|
preview_path.write_text("preview")
|
|
model_path = tmp_path / "loras" / "version-entry.safetensors"
|
|
model_path.write_text("weights")
|
|
|
|
stub.register_model(
|
|
"absolute-preview",
|
|
{
|
|
"sha256": "feedface",
|
|
"file_path": str(model_path),
|
|
"preview_url": str(preview_path),
|
|
"civitai": {"id": version_id},
|
|
},
|
|
)
|
|
|
|
lora = {"hash": "", "file_name": "", "modelVersionId": version_id, "strength": 0.5}
|
|
|
|
enriched = scanner._enrich_lora_entry(dict(lora))
|
|
|
|
assert enriched["preview_url"] == config.get_preview_static_url(str(preview_path))
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_initialize_waits_for_lora_scanner(monkeypatch):
|
|
ready_flag = asyncio.Event()
|
|
call_count = 0
|
|
|
|
class StubLoraScanner:
|
|
def __init__(self):
|
|
self._cache = None
|
|
self._is_initializing = True
|
|
|
|
async def initialize_in_background(self):
|
|
nonlocal call_count
|
|
call_count += 1
|
|
await asyncio.sleep(0)
|
|
self._cache = SimpleNamespace(raw_data=[])
|
|
self._is_initializing = False
|
|
ready_flag.set()
|
|
|
|
lora_scanner = StubLoraScanner()
|
|
scanner = RecipeScanner(lora_scanner=lora_scanner)
|
|
|
|
await scanner.initialize_in_background()
|
|
|
|
assert ready_flag.is_set()
|
|
assert call_count == 1
|
|
assert scanner._cache is not None
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_invalid_model_version_marked_deleted_and_not_retried(monkeypatch, recipe_scanner):
|
|
scanner, _ = recipe_scanner
|
|
recipes_dir = Path(config.loras_roots[0]) / "recipes"
|
|
recipes_dir.mkdir(parents=True, exist_ok=True)
|
|
|
|
recipe = {
|
|
"id": "invalid-version",
|
|
"file_path": str(recipes_dir / "invalid-version.webp"),
|
|
"title": "Invalid",
|
|
"modified": 0.0,
|
|
"created_date": 0.0,
|
|
"loras": [{"modelVersionId": 999, "file_name": "", "hash": ""}],
|
|
}
|
|
await scanner.add_recipe(dict(recipe))
|
|
|
|
call_count = 0
|
|
|
|
async def fake_get_hash(model_version_id):
|
|
nonlocal call_count
|
|
call_count += 1
|
|
return None
|
|
|
|
monkeypatch.setattr(scanner, "_get_hash_from_civitai", fake_get_hash)
|
|
|
|
metadata_updated = await scanner._update_lora_information(recipe)
|
|
|
|
assert metadata_updated is True
|
|
assert recipe["loras"][0]["isDeleted"] is True
|
|
assert call_count == 1
|
|
|
|
# Subsequent calls should skip remote lookup once marked deleted
|
|
metadata_updated_again = await scanner._update_lora_information(recipe)
|
|
assert metadata_updated_again is False
|
|
assert call_count == 1
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_load_recipe_persists_deleted_flag_on_invalid_version(monkeypatch, recipe_scanner, tmp_path):
|
|
scanner, _ = recipe_scanner
|
|
recipes_dir = Path(config.loras_roots[0]) / "recipes"
|
|
recipes_dir.mkdir(parents=True, exist_ok=True)
|
|
|
|
recipe_id = "persist-invalid"
|
|
recipe_path = recipes_dir / f"{recipe_id}.recipe.json"
|
|
recipe_data = {
|
|
"id": recipe_id,
|
|
"file_path": str(recipes_dir / f"{recipe_id}.webp"),
|
|
"title": "Invalid",
|
|
"modified": 0.0,
|
|
"created_date": 0.0,
|
|
"loras": [{"modelVersionId": 1234, "file_name": "", "hash": ""}],
|
|
}
|
|
recipe_path.write_text(json.dumps(recipe_data))
|
|
|
|
async def fake_get_hash(model_version_id):
|
|
return None
|
|
|
|
monkeypatch.setattr(scanner, "_get_hash_from_civitai", fake_get_hash)
|
|
|
|
loaded = await scanner._load_recipe_file(str(recipe_path))
|
|
|
|
assert loaded["loras"][0]["isDeleted"] is True
|
|
|
|
persisted = json.loads(recipe_path.read_text())
|
|
assert persisted["loras"][0]["isDeleted"] is True
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_update_lora_filename_by_hash_updates_affected_recipes(tmp_path: Path, recipe_scanner):
|
|
scanner, _ = recipe_scanner
|
|
recipes_dir = Path(config.loras_roots[0]) / "recipes"
|
|
recipes_dir.mkdir(parents=True, exist_ok=True)
|
|
|
|
# Recipe 1: Contains the LoRA with hash "hash1"
|
|
recipe1_id = "recipe1"
|
|
recipe1_path = recipes_dir / f"{recipe1_id}.recipe.json"
|
|
recipe1_data = {
|
|
"id": recipe1_id,
|
|
"file_path": str(tmp_path / "img1.png"),
|
|
"title": "Recipe 1",
|
|
"modified": 0.0,
|
|
"created_date": 0.0,
|
|
"loras": [
|
|
{"file_name": "old_name", "hash": "hash1"},
|
|
{"file_name": "other_lora", "hash": "hash2"}
|
|
],
|
|
}
|
|
recipe1_path.write_text(json.dumps(recipe1_data))
|
|
await scanner.add_recipe(dict(recipe1_data))
|
|
|
|
# Recipe 2: Does NOT contain the LoRA
|
|
recipe2_id = "recipe2"
|
|
recipe2_path = recipes_dir / f"{recipe2_id}.recipe.json"
|
|
recipe2_data = {
|
|
"id": recipe2_id,
|
|
"file_path": str(tmp_path / "img2.png"),
|
|
"title": "Recipe 2",
|
|
"modified": 0.0,
|
|
"created_date": 0.0,
|
|
"loras": [
|
|
{"file_name": "other_lora", "hash": "hash2"}
|
|
],
|
|
}
|
|
recipe2_path.write_text(json.dumps(recipe2_data))
|
|
await scanner.add_recipe(dict(recipe2_data))
|
|
|
|
# Update LoRA name for "hash1" (using different case to test normalization)
|
|
new_name = "new_name"
|
|
file_count, cache_count = await scanner.update_lora_filename_by_hash("HASH1", new_name)
|
|
|
|
assert file_count == 1
|
|
assert cache_count == 1
|
|
|
|
# Check file on disk
|
|
persisted1 = json.loads(recipe1_path.read_text())
|
|
assert persisted1["loras"][0]["file_name"] == new_name
|
|
assert persisted1["loras"][1]["file_name"] == "other_lora"
|
|
|
|
# Verify Recipe 2 unchanged
|
|
persisted2 = json.loads(recipe2_path.read_text())
|
|
assert persisted2["loras"][0]["file_name"] == "other_lora"
|
|
|
|
cache = await scanner.get_cached_data()
|
|
cached1 = next(r for r in cache.raw_data if r["id"] == recipe1_id)
|
|
assert cached1["loras"][0]["file_name"] == new_name
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_get_paginated_data_filters_by_favorite(recipe_scanner):
|
|
scanner, _ = recipe_scanner
|
|
|
|
# Add a normal recipe
|
|
await scanner.add_recipe({
|
|
"id": "regular",
|
|
"file_path": "path/regular.png",
|
|
"title": "Regular Recipe",
|
|
"modified": 1.0,
|
|
"created_date": 1.0,
|
|
"loras": [],
|
|
})
|
|
|
|
# Add a favorite recipe
|
|
await scanner.add_recipe({
|
|
"id": "favorite",
|
|
"file_path": "path/favorite.png",
|
|
"title": "Favorite Recipe",
|
|
"modified": 2.0,
|
|
"created_date": 2.0,
|
|
"loras": [],
|
|
"favorite": True
|
|
})
|
|
|
|
# Wait for cache update (it's async in some places, add_recipe is usually enough but let's be safe)
|
|
await asyncio.sleep(0)
|
|
|
|
# Test without filter (should return both)
|
|
result_all = await scanner.get_paginated_data(page=1, page_size=10)
|
|
assert len(result_all["items"]) == 2
|
|
|
|
# Test with favorite filter
|
|
result_fav = await scanner.get_paginated_data(page=1, page_size=10, filters={"favorite": True})
|
|
assert len(result_fav["items"]) == 1
|
|
assert result_fav["items"][0]["id"] == "favorite"
|
|
|
|
# Test with favorite filter set to False (should return both or at least not filter if it's the default)
|
|
# Actually our implementation checks if 'favorite' in filters and filters['favorite']
|
|
result_fav_false = await scanner.get_paginated_data(page=1, page_size=10, filters={"favorite": False})
|
|
assert len(result_fav_false["items"]) == 2
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_get_paginated_data_filters_by_prompt(recipe_scanner):
|
|
scanner, _ = recipe_scanner
|
|
|
|
# Add a recipe with a specific prompt
|
|
await scanner.add_recipe({
|
|
"id": "prompt-recipe",
|
|
"file_path": "path/prompt.png",
|
|
"title": "Prompt Recipe",
|
|
"modified": 1.0,
|
|
"created_date": 1.0,
|
|
"loras": [],
|
|
"gen_params": {
|
|
"prompt": "a beautiful forest landscape"
|
|
}
|
|
})
|
|
|
|
# Add a recipe with a specific negative prompt
|
|
await scanner.add_recipe({
|
|
"id": "neg-prompt-recipe",
|
|
"file_path": "path/neg.png",
|
|
"title": "Negative Prompt Recipe",
|
|
"modified": 2.0,
|
|
"created_date": 2.0,
|
|
"loras": [],
|
|
"gen_params": {
|
|
"negative_prompt": "ugly, blurry mountains"
|
|
}
|
|
})
|
|
|
|
await asyncio.sleep(0)
|
|
|
|
# Test search in prompt
|
|
result_prompt = await scanner.get_paginated_data(
|
|
page=1, page_size=10, search="forest", search_options={"prompt": True}
|
|
)
|
|
assert len(result_prompt["items"]) == 1
|
|
assert result_prompt["items"][0]["id"] == "prompt-recipe"
|
|
|
|
# Test search in negative prompt
|
|
result_neg = await scanner.get_paginated_data(
|
|
page=1, page_size=10, search="mountains", search_options={"prompt": True}
|
|
)
|
|
assert len(result_neg["items"]) == 1
|
|
assert result_neg["items"][0]["id"] == "neg-prompt-recipe"
|
|
|
|
# Test search disabled (should not find by prompt)
|
|
result_disabled = await scanner.get_paginated_data(
|
|
page=1, page_size=10, search="forest", search_options={"prompt": False}
|
|
)
|
|
assert len(result_disabled["items"]) == 0
|