mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-09-21 11:11:26 -03:00
feat(recipes): add manual checkpoint reconnect for broken recipe entries
Checkpoint entries that cannot be restored by download (deleted, unresolvable hash, or name-only remnants with no CivitAI identifiers) now get the same remediation chain LoRAs already had: - scanner: parameterized reconnect-suggestion ranking, update/restore/ set-hash-invalid for the checkpoint entry, and clear hashInvalid on rematch write-back (was only done for LoRAs) - persistence/handlers/routes: reconnect/restore/reconnect-suggestions/ mark-hash-invalid endpoints under /api/lm/recipe/checkpoint/* - modal: checkpoint reconnect UI (deleted/hash-invalid badges, inline form with suggestions, undo for reconnected entries); download failures mark the hash invalid only on explicit unresolvable signals (not found/deleted/404/410), matching the LoRA rule - css: checkpoint undo button shares the LoRA undo styles - i18n: the 14 new keys translated in all 9 locales
This commit is contained in:
@@ -768,6 +768,251 @@ async def test_set_lora_entry_hash_invalid_persists_flag(tmp_path: Path, recipe_
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assert cleared_lora["hashInvalid"] is False
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async def test_update_checkpoint_entry_updates_cache_and_file(
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tmp_path: Path, recipe_scanner
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):
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scanner, _ = recipe_scanner
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recipes_dir = Path(config.loras_roots[0]) / "recipes"
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recipes_dir.mkdir(parents=True, exist_ok=True)
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recipe_id = "recipe-ckpt-1"
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recipe_path = recipes_dir / f"{recipe_id}.recipe.json"
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original_checkpoint = {
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"name": "Old Model",
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"version": "v1",
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"id": 1,
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"type": "Checkpoint",
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"baseModel": "SDXL 1.0",
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"file_name": "old",
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"hash": "aaa",
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"isDeleted": True,
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}
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recipe_data = {
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"id": recipe_id,
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"file_path": str(tmp_path / "image.png"),
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"title": "Original",
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"modified": 0.0,
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"created_date": 0.0,
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"base_model": "SDXL 1.0",
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"checkpoint": dict(original_checkpoint),
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}
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recipe_path.write_text(json.dumps(recipe_data))
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await scanner.add_recipe(dict(recipe_data))
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target_info = {
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"sha256": "abc123",
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"file_path": str(tmp_path / "checkpoints" / "main.safetensors"),
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"preview_url": "preview.png",
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"model_name": "Main Model",
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"base_model": "SDXL 1.0",
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"civitai": {"id": 42, "name": "v2"},
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}
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updated_recipe, updated_checkpoint = await scanner.update_checkpoint_entry(
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recipe_id,
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target_name="main",
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target_checkpoint=target_info,
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)
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# Write-back follows the pinned checkpoint key set, keeping the
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# user-entered file_name.
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assert updated_checkpoint["file_name"] == "main"
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assert updated_checkpoint["hash"] == "abc123"
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assert updated_checkpoint["isDeleted"] is False
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assert updated_checkpoint["hashInvalid"] is False
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assert updated_checkpoint["name"] == "Main Model"
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assert updated_checkpoint["version"] == "v2"
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assert updated_checkpoint["baseModel"] == "SDXL 1.0"
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assert updated_checkpoint["id"] == 42
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# The pre-reconnect state is snapshotted for undo
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assert updated_checkpoint["reconnectSnapshot"] == original_checkpoint
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assert "reconnectSnapshot" not in updated_checkpoint["reconnectSnapshot"]
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with recipe_path.open("r", encoding="utf-8") as file_obj:
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persisted = json.load(file_obj)
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assert persisted["checkpoint"]["hash"] == "abc123"
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assert persisted["checkpoint"]["reconnectSnapshot"] == original_checkpoint
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cache = await scanner.get_cached_data()
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cached_recipe = next(item for item in cache.raw_data if item["id"] == recipe_id)
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assert cached_recipe["checkpoint"]["hash"] == "abc123"
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async def test_update_checkpoint_entry_backfills_missing_display_keys(
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tmp_path: Path, recipe_scanner
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):
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scanner, _ = recipe_scanner
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recipes_dir = Path(config.loras_roots[0]) / "recipes"
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recipes_dir.mkdir(parents=True, exist_ok=True)
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recipe_id = "recipe-ckpt-sparse"
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recipe_path = recipes_dir / f"{recipe_id}.recipe.json"
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# Parser-style sparse entry without name/version/baseModel keys
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recipe_data = {
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"id": recipe_id,
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"file_path": str(tmp_path / "image.png"),
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"title": "Sparse",
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"modified": 0.0,
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"created_date": 0.0,
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"checkpoint": {"file_name": "old", "hash": "aaa", "isDeleted": True},
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}
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recipe_path.write_text(json.dumps(recipe_data))
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await scanner.add_recipe(dict(recipe_data))
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target_info = {
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"sha256": "abc123",
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"file_path": "/models/checkpoints/main.safetensors",
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"model_name": "Main Model",
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"base_model": "SDXL 1.0",
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"civitai": {"id": 42, "name": "v2"},
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}
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_, updated_checkpoint = await scanner.update_checkpoint_entry(
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recipe_id,
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target_name="main",
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target_checkpoint=target_info,
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)
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assert updated_checkpoint["name"] == "Main Model"
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assert updated_checkpoint["version"] == "v2"
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assert updated_checkpoint["baseModel"] == "SDXL 1.0"
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assert updated_checkpoint["modelVersionId"] == 42
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async def test_restore_checkpoint_entry_round_trip(tmp_path: Path, recipe_scanner):
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scanner, _ = recipe_scanner
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recipes_dir = Path(config.loras_roots[0]) / "recipes"
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recipes_dir.mkdir(parents=True, exist_ok=True)
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recipe_id = "recipe-ckpt-restore"
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recipe_path = recipes_dir / f"{recipe_id}.recipe.json"
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original_checkpoint = {
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"name": "Old Model",
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"file_name": "old",
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"hash": "aaa",
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"isDeleted": True,
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}
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recipe_data = {
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"id": recipe_id,
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"file_path": str(tmp_path / "image.png"),
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"title": "Original",
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"modified": 0.0,
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"created_date": 0.0,
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"checkpoint": dict(original_checkpoint),
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}
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recipe_path.write_text(json.dumps(recipe_data))
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await scanner.add_recipe(dict(recipe_data))
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target_info = {
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"sha256": "abc123",
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"file_path": "/models/checkpoints/main.safetensors",
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"model_name": "Main Model",
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"civitai": {"id": 42, "name": "v2"},
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}
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await scanner.update_checkpoint_entry(
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recipe_id, target_name="main", target_checkpoint=target_info
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)
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restored_recipe, restored_checkpoint = await scanner.restore_checkpoint_entry(
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recipe_id
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)
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assert restored_recipe["checkpoint"] == original_checkpoint
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assert "reconnectSnapshot" not in restored_recipe["checkpoint"]
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assert restored_checkpoint["file_name"] == "old"
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with recipe_path.open("r", encoding="utf-8") as file_obj:
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persisted = json.load(file_obj)
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assert persisted["checkpoint"] == original_checkpoint
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async def test_restore_checkpoint_entry_without_snapshot_rejected(
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tmp_path: Path, recipe_scanner
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):
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scanner, _ = recipe_scanner
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recipes_dir = Path(config.loras_roots[0]) / "recipes"
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recipes_dir.mkdir(parents=True, exist_ok=True)
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recipe_id = "recipe-ckpt-no-snapshot"
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recipe_path = recipes_dir / f"{recipe_id}.recipe.json"
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recipe_path.write_text(
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json.dumps({"id": recipe_id, "checkpoint": {"file_name": "plain"}})
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)
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with pytest.raises(RecipeValidationError):
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await scanner.restore_checkpoint_entry(recipe_id)
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async def test_set_checkpoint_entry_hash_invalid_persists_flag(
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tmp_path: Path, recipe_scanner
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):
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scanner, _ = recipe_scanner
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recipes_dir = Path(config.loras_roots[0]) / "recipes"
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recipes_dir.mkdir(parents=True, exist_ok=True)
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recipe_id = "hash-invalid-ckpt"
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recipe_path = recipes_dir / f"{recipe_id}.recipe.json"
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recipe_data = {
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"id": recipe_id,
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"file_path": str(tmp_path / "image.png"),
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"title": "Hash invalid",
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"modified": 0.0,
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"created_date": 0.0,
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"checkpoint": {"name": "Old", "file_name": "old", "hash": "a2a12bfa01"},
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}
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recipe_path.write_text(json.dumps(recipe_data))
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await scanner.add_recipe(dict(recipe_data))
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updated_recipe, updated_checkpoint = await scanner.set_checkpoint_entry_hash_invalid(
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recipe_id, True
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)
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assert updated_checkpoint["hashInvalid"] is True
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assert updated_recipe["checkpoint"]["hashInvalid"] is True
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with recipe_path.open("r", encoding="utf-8") as file_obj:
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persisted = json.load(file_obj)
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assert persisted["checkpoint"]["hashInvalid"] is True
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assert persisted["checkpoint"]["hash"] == "a2a12bfa01"
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cache = await scanner.get_cached_data()
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cached_recipe = next(item for item in cache.raw_data if item["id"] == recipe_id)
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assert cached_recipe["checkpoint"]["hashInvalid"] is True
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_, cleared_checkpoint = await scanner.set_checkpoint_entry_hash_invalid(
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recipe_id, False
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)
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assert cleared_checkpoint["hashInvalid"] is False
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async def test_find_local_checkpoints_by_name_uses_checkpoint_scanner(
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tmp_path: Path, monkeypatch
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):
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from py.services.recipe_scanner import RecipeScanner as RecipeScannerCls
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class StubCheckpointScanner:
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async def find_models_by_name(self, name, *, base_model=None):
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return [
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{"file_name": f"{name}.safetensors", "base_model": base_model or ""}
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]
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class StubLoraScannerForCkpt:
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async def get_cached_data(self):
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return SimpleNamespace(raw_data=[], version_index={})
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RecipeScannerCls._instance = None
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scanner = RecipeScannerCls(
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lora_scanner=StubLoraScannerForCkpt(),
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checkpoint_scanner=StubCheckpointScanner(), # pyright: ignore[reportArgumentType]
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)
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matches = await scanner.find_local_checkpoints_by_name("main")
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assert matches == [{"file_name": "main.safetensors", "base_model": ""}]
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assert await scanner.find_local_checkpoints_by_name("") == []
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scanner._checkpoint_scanner = None
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assert await scanner.find_local_checkpoints_by_name("main") == []
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@pytest.mark.asyncio
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async def test_get_recipe_syntax_tokens_skips_unobtainable_loras(tmp_path: Path, recipe_scanner):
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scanner, _ = recipe_scanner
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@@ -1676,3 +1676,306 @@ async def test_analyze_remote_image_meta_null_keeps_exif_loras(tmp_path, monkeyp
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assert loras[0]["hash"] == LORA_SHA256
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assert loras[0].get("isDeleted") in (None, False)
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assert "Daphne" in str(payload.get("gen_params", {}).get("prompt"))
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# ---------------------------------------------------------------------------
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# Checkpoint reconnect chain (manual remediation for recipe.checkpoint)
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# ---------------------------------------------------------------------------
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def _make_persistence_service():
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return RecipePersistenceService(
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exif_utils=DummyExifUtils(),
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card_preview_width=512,
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logger=logging.getLogger("test"),
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)
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@pytest.mark.asyncio
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async def test_reconnect_checkpoint_distinguishes_ambiguous_mismatched_and_missing(tmp_path):
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service = _make_persistence_service()
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models = [
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{
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"file_name": "realistic.safetensors",
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"folder": "sdxl",
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"file_path": "/models/checkpoints/sdxl/realistic.safetensors",
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"base_model": "SDXL 1.0",
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},
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{
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"file_name": "realistic.safetensors",
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"folder": "sd15",
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"file_path": "/models/checkpoints/sd15/realistic.safetensors",
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"base_model": "SD 1.5",
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},
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]
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class DummyScanner:
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def __init__(self, recipe_path):
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self._recipe_path = recipe_path
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async def get_recipe_json_path(self, recipe_id):
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return str(self._recipe_path)
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async def find_local_checkpoints_by_name(self, name, base_model=None):
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return ModelScanner.find_matching_models(models, name, base_model=base_model)
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def write_recipe(base_model):
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recipe_path = tmp_path / "recipe.json"
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recipe_path.write_text(
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json.dumps({"id": "r1", "base_model": base_model, "checkpoint": {}})
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)
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return DummyScanner(recipe_path)
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# Ambiguous bare name: two candidates survive (recipe base model unknown)
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scanner = write_recipe("")
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with pytest.raises(RecipeValidationError, match="include the folder path"):
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await service.reconnect_checkpoint(
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recipe_scanner=scanner, recipe_id="r1", target_name="realistic"
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)
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# Confident base-model mismatch: the only candidate belongs to another family
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scanner = write_recipe("SD 1.5")
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with pytest.raises(RecipeValidationError, match="different base model"):
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await service.reconnect_checkpoint(
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recipe_scanner=scanner, recipe_id="r1", target_name="sdxl/realistic"
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)
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# No candidate at all
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scanner = write_recipe("SDXL 1.0")
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with pytest.raises(RecipeNotFoundError, match="not found"):
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await service.reconnect_checkpoint(
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recipe_scanner=scanner, recipe_id="r1", target_name="missing"
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)
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@pytest.mark.asyncio
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async def test_reconnect_checkpoint_family_compatible_succeeds_with_warning(tmp_path):
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service = _make_persistence_service()
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pony_item = {
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"file_name": "main.safetensors",
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"folder": "",
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"file_path": "/models/checkpoints/main.safetensors",
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"base_model": "Pony",
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"sha256": "ab" * 32,
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}
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recipe_path = tmp_path / "recipe.json"
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recipe_path.write_text(
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json.dumps({"id": "r1", "base_model": "Illustrious", "checkpoint": {}})
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)
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class DummyScanner:
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async def get_recipe_json_path(self, recipe_id):
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return str(recipe_path)
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async def find_local_checkpoints_by_name(self, name, base_model=None):
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return [pony_item]
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async def update_checkpoint_entry(self, recipe_id, *, target_name, target_checkpoint):
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assert target_checkpoint is pony_item
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return ({"id": "r1"}, {"file_name": target_checkpoint["file_name"]})
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async def find_recipes_by_fingerprint(self, fingerprint):
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return []
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result = await service.reconnect_checkpoint(
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recipe_scanner=DummyScanner(), recipe_id="r1", target_name="main"
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)
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assert result.payload["success"] is True
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assert result.payload["base_model_mismatch"] == {
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"recipe_base_model": "Illustrious",
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"checkpoint_base_model": "Pony",
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}
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@pytest.mark.asyncio
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async def test_reconnect_checkpoint_exact_base_model_has_no_warning(tmp_path):
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service = _make_persistence_service()
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item = {
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"file_name": "main.safetensors",
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"folder": "",
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"file_path": "/models/checkpoints/main.safetensors",
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"base_model": "SDXL 1.0",
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"sha256": "ab" * 32,
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}
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recipe_path = tmp_path / "recipe.json"
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recipe_path.write_text(
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json.dumps({"id": "r1", "base_model": "SDXL 1.0", "checkpoint": {}})
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)
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class DummyScanner:
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async def get_recipe_json_path(self, recipe_id):
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return str(recipe_path)
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async def find_local_checkpoints_by_name(self, name, base_model=None):
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return [item]
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async def update_checkpoint_entry(self, recipe_id, *, target_name, target_checkpoint):
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return ({"id": "r1"}, {"file_name": target_checkpoint["file_name"]})
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async def find_recipes_by_fingerprint(self, fingerprint):
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return []
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result = await service.reconnect_checkpoint(
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recipe_scanner=DummyScanner(), recipe_id="r1", target_name="main"
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)
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assert result.payload["success"] is True
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assert "base_model_mismatch" not in result.payload
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@pytest.mark.asyncio
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async def test_restore_checkpoint_delegates_and_reports(tmp_path):
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service = _make_persistence_service()
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class DummyScanner:
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async def restore_checkpoint_entry(self, recipe_id):
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assert recipe_id == "r1"
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return (
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{"id": "r1", "checkpoint": {"file_name": "old.safetensors"}},
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{"file_name": "old.safetensors"},
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)
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async def find_recipes_by_fingerprint(self, fingerprint):
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return []
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result = await service.restore_checkpoint(
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recipe_scanner=DummyScanner(), recipe_id="r1"
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)
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|
||||
assert result.payload["success"] is True
|
||||
assert result.payload["updated_checkpoint"]["file_name"] == "old.safetensors"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_checkpoint_reconnect_suggestions_loads_entry_and_delegates(tmp_path):
|
||||
service = _make_persistence_service()
|
||||
|
||||
recipe_path = tmp_path / "recipe.json"
|
||||
recipe_path.write_text(
|
||||
json.dumps(
|
||||
{
|
||||
"id": "r1",
|
||||
"base_model": "SD 1.5",
|
||||
"checkpoint": {"file_name": "old.safetensors", "hash": "aaa"},
|
||||
}
|
||||
)
|
||||
)
|
||||
|
||||
class DummyScanner:
|
||||
def __init__(self):
|
||||
self.calls = []
|
||||
|
||||
async def get_recipe_json_path(self, recipe_id):
|
||||
assert recipe_id == "r1"
|
||||
return str(recipe_path)
|
||||
|
||||
async def suggest_checkpoint_reconnect_candidates(
|
||||
self, *, entry, recipe_base_model, query=None, limit=5
|
||||
):
|
||||
self.calls.append(
|
||||
{
|
||||
"entry": entry,
|
||||
"recipe_base_model": recipe_base_model,
|
||||
"query": query,
|
||||
}
|
||||
)
|
||||
return [
|
||||
{
|
||||
"file_name": "new.safetensors",
|
||||
"score": 1.0,
|
||||
"match_reason": "same_hash",
|
||||
"target_name": "new",
|
||||
}
|
||||
]
|
||||
|
||||
scanner = DummyScanner()
|
||||
result = await service.get_checkpoint_reconnect_suggestions(
|
||||
recipe_scanner=scanner, recipe_id="r1", query="new"
|
||||
)
|
||||
|
||||
assert result.payload["success"] is True
|
||||
assert result.payload["suggestions"][0]["target_name"] == "new"
|
||||
assert scanner.calls == [
|
||||
{
|
||||
"entry": {"file_name": "old.safetensors", "hash": "aaa"},
|
||||
"recipe_base_model": "SD 1.5",
|
||||
"query": "new",
|
||||
}
|
||||
]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_checkpoint_reconnect_suggestions_validates_recipe(tmp_path):
|
||||
service = _make_persistence_service()
|
||||
|
||||
class MissingScanner:
|
||||
async def get_recipe_json_path(self, recipe_id):
|
||||
return str(tmp_path / "missing.json")
|
||||
|
||||
with pytest.raises(RecipeNotFoundError):
|
||||
await service.get_checkpoint_reconnect_suggestions(
|
||||
recipe_scanner=MissingScanner(), recipe_id="nope"
|
||||
)
|
||||
|
||||
recipe_path = tmp_path / "recipe.json"
|
||||
recipe_path.write_text(json.dumps({"id": "r1"}))
|
||||
|
||||
class EmptyScanner:
|
||||
async def get_recipe_json_path(self, recipe_id):
|
||||
return str(recipe_path)
|
||||
|
||||
with pytest.raises(RecipeValidationError, match="checkpoint"):
|
||||
await service.get_checkpoint_reconnect_suggestions(
|
||||
recipe_scanner=EmptyScanner(), recipe_id="r1"
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mark_checkpoint_hash_invalid_delegates_and_reports(tmp_path):
|
||||
service = _make_persistence_service()
|
||||
|
||||
class DummyScanner:
|
||||
async def set_checkpoint_entry_hash_invalid(self, recipe_id, hash_invalid):
|
||||
assert recipe_id == "r1"
|
||||
assert hash_invalid is True
|
||||
return (
|
||||
{"id": "r1", "checkpoint": {"file_name": "m", "hashInvalid": True}},
|
||||
{"file_name": "m", "hashInvalid": True},
|
||||
)
|
||||
|
||||
result = await service.mark_checkpoint_hash_invalid(
|
||||
recipe_scanner=DummyScanner(), recipe_id="r1"
|
||||
)
|
||||
|
||||
assert result.payload["success"] is True
|
||||
assert result.payload["recipe_id"] == "r1"
|
||||
assert result.payload["hash_invalid"] is True
|
||||
assert result.payload["updated_checkpoint"]["hashInvalid"] is True
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mark_checkpoint_hash_invalid_can_clear_flag(tmp_path):
|
||||
service = _make_persistence_service()
|
||||
|
||||
class DummyScanner:
|
||||
async def set_checkpoint_entry_hash_invalid(self, recipe_id, hash_invalid):
|
||||
assert hash_invalid is False
|
||||
return (
|
||||
{"id": "r1", "checkpoint": {"file_name": "m", "hashInvalid": False}},
|
||||
{"file_name": "m", "hashInvalid": False},
|
||||
)
|
||||
|
||||
result = await service.mark_checkpoint_hash_invalid(
|
||||
recipe_scanner=DummyScanner(),
|
||||
recipe_id="r1",
|
||||
hash_invalid=False,
|
||||
)
|
||||
|
||||
assert result.payload["hash_invalid"] is False
|
||||
assert result.payload["updated_checkpoint"]["hashInvalid"] is False
|
||||
|
||||
Reference in New Issue
Block a user