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import pytest
from .helpers.collection_setup import drop_collection, multivec_collection_setup
from .helpers.helpers import request_with_validation
@pytest.fixture(autouse=True)
def setup(on_disk_vectors, collection_name):
multivec_collection_setup(collection_name=collection_name, on_disk_vectors=on_disk_vectors)
yield
drop_collection(collection_name=collection_name)
def test_collection_update_multivec(collection_name):
response = request_with_validation(
api='/collections/{collection_name}',
method="PATCH",
path_params={'collection_name': collection_name},
body={
"vectors": {
"image": {
"hnsw_config": {
"m": 32,
"ef_construct": 123,
},
"quantization_config": {
"scalar": {
"type": "int8",
"quantile": 0.8
}
},
}
},
"optimizers_config": {
"default_segment_number": 6,
"indexing_threshold": 10000,
},
}
)
assert response.ok
response = request_with_validation(
api='/collections/{collection_name}/points',
method="PUT",
path_params={'collection_name': collection_name},
query_params={'wait': 'true'},
body={
"points": [
{
"id": 7,
"vector": {
"image": [0.15, 0.31, 0.76, 0.74]
},
"payload": {"city": "Rome"}
}
]
}
)
assert response.ok
response = request_with_validation(
api='/collections/{collection_name}/points/{id}',
method="GET",
path_params={'collection_name': collection_name, 'id': 7},
)
assert response.ok
def test_edit_collection_params(on_disk_vectors, on_disk_payload, collection_name):
response = request_with_validation(
api='/collections/{collection_name}',
method="GET",
path_params={'collection_name': collection_name},
)
assert response.ok
result = response.json()["result"]
config = result["config"]
assert "hnsw_config" not in config["params"]["vectors"]
assert "quantization_config" not in config["params"]["vectors"]
assert config["params"]["vectors"]["text"]["on_disk"] == on_disk_vectors
assert not config["params"]["on_disk_payload"]
assert config["hnsw_config"]["m"] == 16
assert config["hnsw_config"]["ef_construct"] == 100
assert config["quantization_config"] is None
response = request_with_validation(
api='/collections/{collection_name}',
method="PATCH",
path_params={'collection_name': collection_name},
body={
"vectors": {
"text": {
"hnsw_config": {
"m": 32,
},
"quantization_config": {
"scalar": {
"type": "int8",
"quantile": 0.8
}
},
"on_disk": True,
}
},
"hnsw_config": {
"ef_construct": 123,
},
"quantization_config": {
"scalar": {
"type": "int8",
"quantile": 0.99,
"always_ram": True
}
},
"params": {
"on_disk_payload": on_disk_payload,
},
}
)
assert response.ok
response = request_with_validation(
api='/collections/{collection_name}',
method="GET",
path_params={'collection_name': collection_name},
)
assert response.ok
result = response.json()["result"]
config = result["config"]
assert config["params"]["vectors"]["text"]["hnsw_config"]["m"] == 32
assert config["params"]["vectors"]["text"]["quantization_config"]["scalar"]["type"] == "int8"
assert config["params"]["vectors"]["text"]["quantization_config"]["scalar"]["quantile"] == 0.8
assert "always_ram" not in config["params"]["vectors"]["text"]["quantization_config"]["scalar"]
assert config["params"]["vectors"]["text"]["on_disk"]
assert config["params"]["on_disk_payload"] == on_disk_payload
assert config["hnsw_config"]["m"] == 16
assert config["hnsw_config"]["ef_construct"] == 123
assert config["quantization_config"]["scalar"]["type"] == "int8"
assert config["quantization_config"]["scalar"]["quantile"] == 0.99
assert config["quantization_config"]["scalar"]["always_ram"]
response = request_with_validation(
api='/collections/{collection_name}',
method="PATCH",
path_params={'collection_name': collection_name},
body={
"vectors": {
"text": {
"hnsw_config": {
"m": 10,
"ef_construct": 100,
},
"quantization_config": {
"product": {
"compression": "x32",
"always_ram": True
}
},
"on_disk": False,
},
},
"params": {
"on_disk_payload": not on_disk_payload,
},
}
)
assert response.ok
response = request_with_validation(
api='/collections/{collection_name}',
method="GET",
path_params={'collection_name': collection_name},
)
assert response.ok
result = response.json()["result"]
config = result["config"]
assert config["params"]["vectors"]["text"]["hnsw_config"]["m"] == 10
assert config["params"]["vectors"]["text"]["hnsw_config"]["ef_construct"] == 100
assert config["params"]["vectors"]["text"]["quantization_config"]["product"]["compression"] == "x32"
assert config["params"]["vectors"]["text"]["quantization_config"]["product"]["always_ram"]
assert not config["params"]["vectors"]["text"]["on_disk"]
assert config["params"]["on_disk_payload"] != on_disk_payload
assert config["quantization_config"]["scalar"]["type"] == "int8"
assert config["quantization_config"]["scalar"]["quantile"] == 0.99
assert config["quantization_config"]["scalar"]["always_ram"]
response = request_with_validation(
api='/collections/{collection_name}',
method="PATCH",
path_params={'collection_name': collection_name},
body={
"vectors": {
"text": {
"quantization_config": "Disabled"
},
},
}
)
assert response.ok
response = request_with_validation(
api='/collections/{collection_name}',
method="GET",
path_params={'collection_name': collection_name},
)
assert response.ok
result = response.json()["result"]
config = result["config"]
assert config["params"]["vectors"]["text"].get("quantization_config") is None
def test_invalid_vector_name(collection_name):
response = request_with_validation(
api='/collections/{collection_name}',
method="PATCH",
path_params={'collection_name': collection_name},
body={
"vectors": {
"i_do_no_exist": {
"hnsw_config": {
"m": 32,
}
}
},
}
)
assert not response.ok
assert response.status_code == 400
error = response.json()["status"]["error"]
assert error == "Wrong input: Not existing vector name error: i_do_no_exist"
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