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import logging
import multiprocessing
from multiprocessing.connection import Connection
from typing import Generator, Callable
from hypothesis import given
import hypothesis.strategies as st
import pytest
import chromadb
from chromadb.api import ClientAPI, ServerAPI
from chromadb.config import Settings, System
import chromadb.test.property.strategies as strategies
import chromadb.test.property.invariants as invariants
from chromadb.test.property.test_embeddings import (
EmbeddingStateMachine,
EmbeddingStateMachineStates,
collection_st as embedding_collection_st,
trace,
)
from hypothesis.stateful import (
run_state_machine_as_test,
rule,
precondition,
initialize,
)
import os
import shutil
import tempfile
CreatePersistAPI = Callable[[], ServerAPI]
configurations = [
Settings(
chroma_api_impl="chromadb.api.segment.SegmentAPI",
chroma_sysdb_impl="chromadb.db.impl.sqlite.SqliteDB",
chroma_producer_impl="chromadb.db.impl.sqlite.SqliteDB",
chroma_consumer_impl="chromadb.db.impl.sqlite.SqliteDB",
chroma_segment_manager_impl="chromadb.segment.impl.manager.local.LocalSegmentManager",
allow_reset=True,
is_persistent=True,
persist_directory=tempfile.mkdtemp(),
),
]
@pytest.fixture(scope="module", params=configurations)
def settings(request: pytest.FixtureRequest) -> Generator[Settings, None, None]:
configuration = request.param
save_path = configuration.persist_directory
# Create if it doesn't exist
if not os.path.exists(save_path):
os.makedirs(save_path, exist_ok=True)
yield configuration
# Remove if it exists
if os.path.exists(save_path):
shutil.rmtree(save_path, ignore_errors=True)
collection_st = st.shared(
strategies.collections(with_hnsw_params=True, with_persistent_hnsw_params=True),
key="coll",
)
@given(
collection_strategy=collection_st,
embeddings_strategy=strategies.recordsets(collection_st),
)
def test_persist(
settings: Settings,
collection_strategy: strategies.Collection,
embeddings_strategy: strategies.RecordSet,
) -> None:
system_1 = System(settings)
api_1 = system_1.instance(ServerAPI)
system_1.start()
api_1.reset()
coll = api_1.create_collection(
name=collection_strategy.name,
metadata=collection_strategy.metadata,
embedding_function=collection_strategy.embedding_function,
)
if not invariants.is_metadata_valid(invariants.wrap_all(embeddings_strategy)):
with pytest.raises(Exception):
coll.add(**embeddings_strategy)
return
coll.add(**embeddings_strategy)
invariants.count(coll, embeddings_strategy)
invariants.metadatas_match(coll, embeddings_strategy)
invariants.documents_match(coll, embeddings_strategy)
invariants.ids_match(coll, embeddings_strategy)
invariants.ann_accuracy(
coll,
embeddings_strategy,
embedding_function=collection_strategy.embedding_function,
)
system_1.stop()
del api_1
del system_1
system_2 = System(settings)
api_2 = system_2.instance(ServerAPI)
system_2.start()
coll = api_2.get_collection(
name=collection_strategy.name,
embedding_function=collection_strategy.embedding_function,
)
invariants.count(coll, embeddings_strategy)
invariants.metadatas_match(coll, embeddings_strategy)
invariants.documents_match(coll, embeddings_strategy)
invariants.ids_match(coll, embeddings_strategy)
invariants.ann_accuracy(
coll,
embeddings_strategy,
embedding_function=collection_strategy.embedding_function,
)
system_2.stop()
del api_2
del system_2
def load_and_check(
settings: Settings,
collection_name: str,
record_set: strategies.RecordSet,
conn: Connection,
) -> None:
try:
system = System(settings)
api = system.instance(ServerAPI)
system.start()
coll = api.get_collection(
name=collection_name,
embedding_function=strategies.not_implemented_embedding_function(),
)
invariants.count(coll, record_set)
invariants.metadatas_match(coll, record_set)
invariants.documents_match(coll, record_set)
invariants.ids_match(coll, record_set)
invariants.ann_accuracy(coll, record_set)
system.stop()
except Exception as e:
conn.send(e)
raise e
class PersistEmbeddingsStateMachineStates(EmbeddingStateMachineStates):
persist = "persist"
class PersistEmbeddingsStateMachine(EmbeddingStateMachine):
def __init__(self, api: ClientAPI, settings: Settings):
self.api = api
self.settings = settings
self.last_persist_delay = 10
self.api.reset()
super().__init__(self.api)
@initialize(collection=embedding_collection_st, batch_size=st.integers(min_value=3, max_value=2000), sync_threshold=st.integers(min_value=3, max_value=2000)) # type: ignore
def initialize(
self, collection: strategies.Collection, batch_size: int, sync_threshold: int
):
self.api.reset()
self.collection = self.api.create_collection(
name=collection.name,
metadata=collection.metadata,
embedding_function=collection.embedding_function,
)
self.embedding_function = collection.embedding_function
trace("init")
self.on_state_change(EmbeddingStateMachineStates.initialize)
self.record_set_state = strategies.StateMachineRecordSet(
ids=[], metadatas=[], documents=[], embeddings=[]
)
@precondition(
lambda self: len(self.record_set_state["ids"]) >= 1
and self.last_persist_delay <= 0
)
@rule()
def persist(self) -> None:
self.on_state_change(PersistEmbeddingsStateMachineStates.persist)
collection_name = self.collection.name
# Create a new process and then inside the process run the invariants
# TODO: Once we switch off of duckdb and onto sqlite we can remove this
ctx = multiprocessing.get_context("spawn")
conn1, conn2 = multiprocessing.Pipe()
p = ctx.Process(
target=load_and_check,
args=(self.settings, collection_name, self.record_set_state, conn2),
)
p.start()
p.join()
if conn1.poll():
e = conn1.recv()
raise e
p.close()
def on_state_change(self, new_state: str) -> None:
if new_state == PersistEmbeddingsStateMachineStates.persist:
self.last_persist_delay = 10
else:
self.last_persist_delay -= 1
def teardown(self) -> None:
self.api.reset()
def test_persist_embeddings_state(
caplog: pytest.LogCaptureFixture, settings: Settings
) -> None:
caplog.set_level(logging.ERROR)
api = chromadb.Client(settings)
run_state_machine_as_test(
lambda: PersistEmbeddingsStateMachine(settings=settings, api=api)
) # type: ignore
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