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test_async_qdrant_client.py
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import asyncio
import os
import random
import time
import grpc.aio._call
import numpy as np
import pytest
import qdrant_client.http.exceptions
from qdrant_client import QdrantClient
from qdrant_client import grpc as qdrant_grpc
from qdrant_client import models
from qdrant_client.async_qdrant_client import AsyncQdrantClient
from qdrant_client.conversions.conversion import payload_to_grpc
from tests.fixtures.payload import one_random_payload_please
NUM_VECTORS = 100
NUM_QUERIES = 100
DIM = 32
COLLECTION_NAME = "async_test_collection"
@pytest.mark.asyncio
async def test_async_grpc():
points = (
qdrant_grpc.PointStruct(
id=qdrant_grpc.PointId(num=idx),
vectors=qdrant_grpc.Vectors(
vector=qdrant_grpc.Vector(data=np.random.rand(DIM).tolist())
),
payload=payload_to_grpc(one_random_payload_please(idx)),
)
for idx in range(NUM_VECTORS)
)
client = QdrantClient(prefer_grpc=True, timeout=3.0)
grpc_collections = client.async_grpc_collections
res = await grpc_collections.List(qdrant_grpc.ListCollectionsRequest(), timeout=1.0)
for collection in res.collections:
print(collection.name)
await grpc_collections.Delete(
qdrant_grpc.DeleteCollection(collection_name=collection.name)
)
await grpc_collections.Create(
qdrant_grpc.CreateCollection(
collection_name=COLLECTION_NAME,
vectors_config=qdrant_grpc.VectorsConfig(
params=qdrant_grpc.VectorParams(size=DIM, distance=qdrant_grpc.Distance.Cosine)
),
)
)
grpc_points = client.async_grpc_points
upload_features = []
# Upload vectors in parallel
for point in points:
upload_features.append(
grpc_points.Upsert(
qdrant_grpc.UpsertPoints(
collection_name=COLLECTION_NAME, wait=True, points=[point]
)
)
)
await asyncio.gather(*upload_features)
queries = [np.random.rand(DIM).tolist() for _ in range(NUM_QUERIES)]
# Make async queries
search_queries = []
for query in queries:
search_query = grpc_points.Search(
qdrant_grpc.SearchPoints(
collection_name=COLLECTION_NAME,
vector=query,
limit=10,
)
)
search_queries.append(search_query)
results = await asyncio.gather(*search_queries) # All queries are running in parallel now
assert len(results) == NUM_QUERIES
for result in results:
assert len(result.result) == 10
client.close()
@pytest.mark.asyncio
@pytest.mark.parametrize("prefer_grpc", [True, False])
async def test_async_qdrant_client(prefer_grpc):
version = os.getenv("QDRANT_VERSION")
client = AsyncQdrantClient(prefer_grpc=prefer_grpc)
collection_params = dict(
collection_name=COLLECTION_NAME,
vectors_config=models.VectorParams(size=10, distance=models.Distance.EUCLID),
)
try:
await client.create_collection(**collection_params)
except (
qdrant_client.http.exceptions.UnexpectedResponse,
grpc.aio._call.AioRpcError,
):
await client.delete_collection(COLLECTION_NAME)
await client.create_collection(**collection_params)
await client.recreate_collection(**collection_params)
await client.get_collection(COLLECTION_NAME)
await client.get_collections()
if version is None or (version >= "v1.8.0" or version == "dev"):
await client.collection_exists(COLLECTION_NAME)
await client.update_collection(
COLLECTION_NAME, hnsw_config=models.HnswConfigDiff(m=32, ef_construct=120)
)
alias_name = COLLECTION_NAME + "_alias"
await client.update_collection_aliases(
change_aliases_operations=[
models.CreateAliasOperation(
create_alias=models.CreateAlias(
collection_name=COLLECTION_NAME, alias_name=alias_name
)
)
]
)
await client.get_aliases()
await client.get_collection_aliases(COLLECTION_NAME)
await client.update_collection_aliases(
change_aliases_operations=[
models.DeleteAliasOperation(delete_alias=models.DeleteAlias(alias_name=alias_name))
]
)
assert (await client.get_aliases()).aliases == []
await client.upsert(
collection_name=COLLECTION_NAME,
points=[
models.PointStruct(
id=i,
vector=np.random.rand(10).tolist(),
payload={"random_dig": random.randint(1, 100)},
)
for i in range(100)
],
)
assert (await client.count(COLLECTION_NAME)).count == 100
assert len((await client.scroll(COLLECTION_NAME, limit=2))[0]) == 2
assert (
len(
await client.search(
COLLECTION_NAME,
query_vector=np.random.rand(10).tolist(), # type: ignore
limit=10,
)
)
== 10
)
assert (
len(
await client.search_batch(
COLLECTION_NAME,
requests=[
models.SearchRequest(vector=np.random.rand(10).tolist(), limit=10)
for _ in range(3)
],
)
)
== 3
)
assert (
len(
(
await client.search_groups(
COLLECTION_NAME,
query_vector=np.random.rand(10).tolist(), # type: ignore
limit=4,
group_by="random_dig",
)
).groups
)
== 4
)
assert len(await client.recommend(COLLECTION_NAME, positive=[0], limit=5)) == 5
assert (
len(
(
await client.recommend_groups(
COLLECTION_NAME, positive=[1], group_by="random_dig", limit=6
)
).groups
)
== 6
)
assert (
len(
(
await client.recommend_batch(
COLLECTION_NAME,
requests=[models.RecommendRequest(positive=[2], limit=7)],
)
)[0]
)
== 7
)
assert len(await client.retrieve(COLLECTION_NAME, ids=[3, 5])) == 2
await client.create_payload_index(
COLLECTION_NAME,
field_name="random_dig",
field_schema=models.PayloadSchemaType.INTEGER,
)
assert "random_dig" in (await client.get_collection(COLLECTION_NAME)).payload_schema
await client.delete_payload_index(COLLECTION_NAME, field_name="random_dig")
assert "random_dig" not in (await client.get_collection(COLLECTION_NAME)).payload_schema
assert not (await client.lock_storage(reason="test")).write
assert (await client.get_locks()).write
assert (await client.unlock_storage()).write
assert not (await client.get_locks()).write
assert isinstance(await client.create_snapshot(COLLECTION_NAME), models.SnapshotDescription)
snapshots = await client.list_snapshots(COLLECTION_NAME)
assert len(snapshots) == 1
# recover snapshot location is unknown
# await client.upsert(COLLECTION_NAME, points=[models.PointStruct(id=101, vector=np.random.rand(10).tolist())])
# assert (await client.get_collection(COLLECTION_NAME)).vectors_count == 101
# await client.recover_snapshot(collection_name=COLLECTION_NAME, location=...)
# assert (await client.get_collection(COLLECTION_NAME)).vectors_count == 100
await client.delete_snapshot(COLLECTION_NAME, snapshot_name=snapshots[0].name)
time.sleep(
0.5
) # wait param is not propagated https://github.com/qdrant/qdrant-client/issues/254
assert len(await client.list_snapshots(COLLECTION_NAME)) == 0
assert isinstance(await client.create_full_snapshot(), models.SnapshotDescription)
snapshots = await client.list_full_snapshots()
assert len(snapshots) == 1
await client.delete_full_snapshot(snapshot_name=snapshots[0].name)
time.sleep(
0.5
) # wait param is not propagated https://github.com/qdrant/qdrant-client/issues/254
assert len(await client.list_full_snapshots()) == 0
assert isinstance(
await client.create_shard_snapshot(COLLECTION_NAME, shard_id=0),
models.SnapshotDescription,
)
snapshots = await client.list_shard_snapshots(COLLECTION_NAME, shard_id=0)
assert len(snapshots) == 1
# recover snapshot location is unknown
# await client.upsert(COLLECTION_NAME, points=[models.PointStruct(id=101, vector=np.random.rand(10).tolist())])
# assert (await client.get_collection(COLLECTION_NAME)).vectors_count == 101
# await client.recover_shard_snapshot(collection_name=COLLECTION_NAME, location=..., shard_id=0)
# assert (await client.get_collection(COLLECTION_NAME)).vectors_count == 100
await client.delete_shard_snapshot(
COLLECTION_NAME, snapshot_name=snapshots[0].name, shard_id=0
)
time.sleep(
0.5
) # wait param is not propagated https://github.com/qdrant/qdrant-client/issues/254
assert len(await client.list_shard_snapshots(COLLECTION_NAME, shard_id=0)) == 0
await client.delete_vectors(COLLECTION_NAME, vectors=[""], points=[0])
assert (await client.retrieve(COLLECTION_NAME, ids=[0]))[0].vector is None
await client.update_vectors(
COLLECTION_NAME,
points=[models.PointVectors(id=0, vector=[1.0] * 10)],
)
assert (await client.retrieve(COLLECTION_NAME, ids=[0], with_vectors=True))[0].vector == [
1.0
] * 10
await client.delete(COLLECTION_NAME, points_selector=[0])
assert (await client.count(COLLECTION_NAME)).count == 99
await client.batch_update_points(
COLLECTION_NAME,
update_operations=[
models.UpsertOperation(
upsert=models.PointsList(points=[models.PointStruct(id=0, vector=[1.0] * 10)])
)
],
)
assert (await client.count(COLLECTION_NAME)).count == 100
await client.set_payload(COLLECTION_NAME, payload={"added_payload": "zero"}, points=[0])
assert (await client.retrieve(COLLECTION_NAME, ids=[0], with_payload=["added_payload"]))[
0
].payload == {"added_payload": "zero"}
await client.overwrite_payload(
COLLECTION_NAME, payload={"overwritten": True, "rand_digit": 2023}, points=[1]
)
assert (await client.retrieve(COLLECTION_NAME, ids=[1]))[0].payload == {
"overwritten": True,
"rand_digit": 2023,
}
await client.delete_payload(COLLECTION_NAME, keys=["added_payload"], points=[0])
assert (await client.retrieve(COLLECTION_NAME, ids=[0], with_payload=["added_payload"]))[
0
].payload == {}
await client.clear_payload(COLLECTION_NAME, points_selector=[1])
assert (await client.retrieve(COLLECTION_NAME, ids=[1]))[0].payload == {}
# region teardown
await client.delete_collection(COLLECTION_NAME)
collections = await client.get_collections()
assert all(collection.name != COLLECTION_NAME for collection in collections.collections)
await client.close()
# endregion
@pytest.mark.asyncio
async def test_async_qdrant_client_local():
version = os.getenv("QDRANT_VERSION")
client = AsyncQdrantClient(":memory:")
collection_params = dict(
collection_name=COLLECTION_NAME,
vectors_config=models.VectorParams(size=10, distance=models.Distance.EUCLID),
)
await client.create_collection(**collection_params)
await client.delete_collection(COLLECTION_NAME)
await client.recreate_collection(**collection_params)
await client.get_collection(COLLECTION_NAME)
await client.get_collections()
if version is None or (version >= "v1.8.0" or version == "dev"):
await client.collection_exists(COLLECTION_NAME)
await client.update_collection(
COLLECTION_NAME, hnsw_config=models.HnswConfigDiff(m=32, ef_construct=120)
)
alias_name = COLLECTION_NAME + "_alias"
await client.update_collection_aliases(
change_aliases_operations=[
models.CreateAliasOperation(
create_alias=models.CreateAlias(
collection_name=COLLECTION_NAME, alias_name=alias_name
)
)
]
)
await client.get_aliases()
await client.get_collection_aliases(COLLECTION_NAME)
await client.update_collection_aliases(
change_aliases_operations=[
models.DeleteAliasOperation(delete_alias=models.DeleteAlias(alias_name=alias_name))
]
)
assert await client.get_aliases()
await client.upsert(
collection_name=COLLECTION_NAME,
points=[
models.PointStruct(
id=i,
vector=np.random.rand(10).tolist(),
payload={"random_dig": random.randint(1, 100)},
)
for i in range(100)
],
)
assert (await client.count(COLLECTION_NAME)).count == 100
assert len((await client.scroll(COLLECTION_NAME, limit=2))[0]) == 2
assert (
len(
await client.search(
COLLECTION_NAME,
query_vector=np.random.rand(10).tolist(), # type: ignore
limit=10,
)
)
== 10
)
assert (
len(
await client.search_batch(
COLLECTION_NAME,
requests=[
models.SearchRequest(vector=np.random.rand(10).tolist(), limit=10)
for _ in range(3)
],
)
)
== 3
)
assert (
len(
(
await client.search_groups(
COLLECTION_NAME,
query_vector=np.random.rand(10).tolist(), # type: ignore
limit=4,
group_by="random_dig",
)
).groups
)
== 4
)
assert len(await client.recommend(COLLECTION_NAME, positive=[0], limit=5)) == 5
assert (
len(
(
await client.recommend_groups(
COLLECTION_NAME, positive=[1], group_by="random_dig", limit=6
)
).groups
)
== 6
)
assert (
len(
(
await client.recommend_batch(
COLLECTION_NAME,
requests=[models.RecommendRequest(positive=[2], limit=7)],
)
)[0]
)
== 7
)
assert len(await client.retrieve(COLLECTION_NAME, ids=[3, 5])) == 2
await client.create_payload_index(
COLLECTION_NAME,
field_name="random_dig",
field_schema=models.PayloadSchemaType.INTEGER,
)
await client.delete_payload_index(COLLECTION_NAME, field_name="random_dig")
assert await client.get_locks()
assert len(await client.list_snapshots(COLLECTION_NAME)) == 0
assert len(await client.list_full_snapshots()) == 0
snapshots = await client.list_shard_snapshots(COLLECTION_NAME, shard_id=0)
assert len(snapshots) == 0
assert (await client.retrieve(COLLECTION_NAME, ids=[0]))[0].vector is None
await client.update_vectors(
COLLECTION_NAME,
points=[models.PointVectors(id=0, vector=[1.0] * 10)],
)
assert (await client.retrieve(COLLECTION_NAME, ids=[0], with_vectors=True))[0].vector == [
1.0
] * 10
await client.delete(COLLECTION_NAME, points_selector=[0])
assert (await client.count(COLLECTION_NAME)).count == 99
await client.batch_update_points(
COLLECTION_NAME,
update_operations=[
models.UpsertOperation(
upsert=models.PointsList(points=[models.PointStruct(id=0, vector=[1.0] * 10)])
)
],
)
assert (await client.count(COLLECTION_NAME)).count == 100
await client.set_payload(COLLECTION_NAME, payload={"added_payload": "zero"}, points=[0])
assert (await client.retrieve(COLLECTION_NAME, ids=[0], with_payload=["added_payload"]))[
0
].payload == {"added_payload": "zero"}
await client.overwrite_payload(
COLLECTION_NAME, payload={"overwritten": True, "rand_digit": 2023}, points=[1]
)
assert (await client.retrieve(COLLECTION_NAME, ids=[1]))[0].payload == {
"overwritten": True,
"rand_digit": 2023,
}
await client.delete_payload(COLLECTION_NAME, keys=["added_payload"], points=[0])
assert (await client.retrieve(COLLECTION_NAME, ids=[0], with_payload=["added_payload"]))[
0
].payload == {}
await client.clear_payload(COLLECTION_NAME, points_selector=[1])
assert (await client.retrieve(COLLECTION_NAME, ids=[1]))[0].payload == {}
# region teardown
await client.delete_collection(COLLECTION_NAME)
collections = await client.get_collections()
assert all(collection.name != COLLECTION_NAME for collection in collections.collections)
await client.close()
# endregion