llama-stack-mirror/tests/unit/registry/test_registry.py
Matthew Farrellee 7a25be633c
fix: Revert "fix: Added a bug fix when registering new models" (#3473)
the commit to be reverted is an public api behavior change to something
we should not support.

instead of allowing silent updates (the caller cannot see the log
messages), we should be sending an error to the caller that they must
first unregister the model before reusing the same name w/ a different
backend.
2025-09-26 16:19:21 -04:00

231 lines
8.5 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import pytest
from llama_stack.apis.inference import Model
from llama_stack.apis.vector_dbs import VectorDB
from llama_stack.core.store.registry import (
KEY_FORMAT,
CachedDiskDistributionRegistry,
DiskDistributionRegistry,
)
from llama_stack.providers.utils.kvstore import kvstore_impl
from llama_stack.providers.utils.kvstore.config import SqliteKVStoreConfig
@pytest.fixture
def sample_vector_db():
return VectorDB(
identifier="test_vector_db",
embedding_model="all-MiniLM-L6-v2",
embedding_dimension=384,
provider_resource_id="test_vector_db",
provider_id="test-provider",
)
@pytest.fixture
def sample_model():
return Model(
identifier="test_model",
provider_resource_id="test_model",
provider_id="test-provider",
)
async def test_registry_initialization(disk_dist_registry):
# Test empty registry
result = await disk_dist_registry.get("nonexistent", "nonexistent")
assert result is None
async def test_basic_registration(disk_dist_registry, sample_vector_db, sample_model):
print(f"Registering {sample_vector_db}")
await disk_dist_registry.register(sample_vector_db)
print(f"Registering {sample_model}")
await disk_dist_registry.register(sample_model)
print("Getting vector_db")
result_vector_db = await disk_dist_registry.get("vector_db", "test_vector_db")
assert result_vector_db is not None
assert result_vector_db.identifier == sample_vector_db.identifier
assert result_vector_db.embedding_model == sample_vector_db.embedding_model
assert result_vector_db.provider_id == sample_vector_db.provider_id
result_model = await disk_dist_registry.get("model", "test_model")
assert result_model is not None
assert result_model.identifier == sample_model.identifier
assert result_model.provider_id == sample_model.provider_id
async def test_cached_registry_initialization(sqlite_kvstore, sample_vector_db, sample_model):
# First populate the disk registry
disk_registry = DiskDistributionRegistry(sqlite_kvstore)
await disk_registry.initialize()
await disk_registry.register(sample_vector_db)
await disk_registry.register(sample_model)
# Test cached version loads from disk
db_path = sqlite_kvstore.db_path
cached_registry = CachedDiskDistributionRegistry(await kvstore_impl(SqliteKVStoreConfig(db_path=db_path)))
await cached_registry.initialize()
result_vector_db = await cached_registry.get("vector_db", "test_vector_db")
assert result_vector_db is not None
assert result_vector_db.identifier == sample_vector_db.identifier
assert result_vector_db.embedding_model == sample_vector_db.embedding_model
assert result_vector_db.embedding_dimension == sample_vector_db.embedding_dimension
assert result_vector_db.provider_id == sample_vector_db.provider_id
async def test_cached_registry_updates(cached_disk_dist_registry):
new_vector_db = VectorDB(
identifier="test_vector_db_2",
embedding_model="all-MiniLM-L6-v2",
embedding_dimension=384,
provider_resource_id="test_vector_db_2",
provider_id="baz",
)
await cached_disk_dist_registry.register(new_vector_db)
# Verify in cache
result_vector_db = await cached_disk_dist_registry.get("vector_db", "test_vector_db_2")
assert result_vector_db is not None
assert result_vector_db.identifier == new_vector_db.identifier
assert result_vector_db.provider_id == new_vector_db.provider_id
# Verify persisted to disk
db_path = cached_disk_dist_registry.kvstore.db_path
new_registry = DiskDistributionRegistry(await kvstore_impl(SqliteKVStoreConfig(db_path=db_path)))
await new_registry.initialize()
result_vector_db = await new_registry.get("vector_db", "test_vector_db_2")
assert result_vector_db is not None
assert result_vector_db.identifier == new_vector_db.identifier
assert result_vector_db.provider_id == new_vector_db.provider_id
async def test_duplicate_provider_registration(cached_disk_dist_registry):
original_vector_db = VectorDB(
identifier="test_vector_db_2",
embedding_model="all-MiniLM-L6-v2",
embedding_dimension=384,
provider_resource_id="test_vector_db_2",
provider_id="baz",
)
await cached_disk_dist_registry.register(original_vector_db)
duplicate_vector_db = VectorDB(
identifier="test_vector_db_2",
embedding_model="different-model",
embedding_dimension=384,
provider_resource_id="test_vector_db_2",
provider_id="baz", # Same provider_id
)
await cached_disk_dist_registry.register(duplicate_vector_db)
result = await cached_disk_dist_registry.get("vector_db", "test_vector_db_2")
assert result is not None
assert result.embedding_model == original_vector_db.embedding_model # Original values preserved
async def test_get_all_objects(cached_disk_dist_registry):
# Create multiple test banks
# Create multiple test banks
test_vector_dbs = [
VectorDB(
identifier=f"test_vector_db_{i}",
embedding_model="all-MiniLM-L6-v2",
embedding_dimension=384,
provider_resource_id=f"test_vector_db_{i}",
provider_id=f"provider_{i}",
)
for i in range(3)
]
# Register all vector_dbs
for vector_db in test_vector_dbs:
await cached_disk_dist_registry.register(vector_db)
# Test get_all retrieval
all_results = await cached_disk_dist_registry.get_all()
assert len(all_results) == 3
# Verify each vector_db was stored correctly
for original_vector_db in test_vector_dbs:
matching_vector_dbs = [v for v in all_results if v.identifier == original_vector_db.identifier]
assert len(matching_vector_dbs) == 1
stored_vector_db = matching_vector_dbs[0]
assert stored_vector_db.embedding_model == original_vector_db.embedding_model
assert stored_vector_db.provider_id == original_vector_db.provider_id
assert stored_vector_db.embedding_dimension == original_vector_db.embedding_dimension
async def test_parse_registry_values_error_handling(sqlite_kvstore):
valid_db = VectorDB(
identifier="valid_vector_db",
embedding_model="all-MiniLM-L6-v2",
embedding_dimension=384,
provider_resource_id="valid_vector_db",
provider_id="test-provider",
)
await sqlite_kvstore.set(
KEY_FORMAT.format(type="vector_db", identifier="valid_vector_db"), valid_db.model_dump_json()
)
await sqlite_kvstore.set(KEY_FORMAT.format(type="vector_db", identifier="corrupted_json"), "{not valid json")
await sqlite_kvstore.set(
KEY_FORMAT.format(type="vector_db", identifier="missing_fields"),
'{"type": "vector_db", "identifier": "missing_fields"}',
)
test_registry = DiskDistributionRegistry(sqlite_kvstore)
await test_registry.initialize()
# Get all objects, which should only return the valid one
all_objects = await test_registry.get_all()
# Should have filtered out the invalid entries
assert len(all_objects) == 1
assert all_objects[0].identifier == "valid_vector_db"
# Check that the get method also handles errors correctly
invalid_obj = await test_registry.get("vector_db", "corrupted_json")
assert invalid_obj is None
invalid_obj = await test_registry.get("vector_db", "missing_fields")
assert invalid_obj is None
async def test_cached_registry_error_handling(sqlite_kvstore):
valid_db = VectorDB(
identifier="valid_cached_db",
embedding_model="all-MiniLM-L6-v2",
embedding_dimension=384,
provider_resource_id="valid_cached_db",
provider_id="test-provider",
)
await sqlite_kvstore.set(
KEY_FORMAT.format(type="vector_db", identifier="valid_cached_db"), valid_db.model_dump_json()
)
await sqlite_kvstore.set(
KEY_FORMAT.format(type="vector_db", identifier="invalid_cached_db"),
'{"type": "vector_db", "identifier": "invalid_cached_db", "embedding_model": 12345}', # Should be string
)
cached_registry = CachedDiskDistributionRegistry(sqlite_kvstore)
await cached_registry.initialize()
all_objects = await cached_registry.get_all()
assert len(all_objects) == 1
assert all_objects[0].identifier == "valid_cached_db"
invalid_obj = await cached_registry.get("vector_db", "invalid_cached_db")
assert invalid_obj is None