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qdrant/openapi/tests/openapi_integration/helpers/collection_setup.py
Tim Visée 547e602ee1 Limit vector dimension to 65536 (#2544)
* Limit vector dimension to 65536

* Add integration test for new dimension limit
2023-08-31 11:39:05 +02:00

196 lines
6.0 KiB
Python

import os
from .helpers import request_with_validation
def drop_collection(collection_name='test_collection'):
response = request_with_validation(
api='/collections/{collection_name}',
method="DELETE",
path_params={'collection_name': collection_name},
)
assert response.ok
def basic_collection_setup(
collection_name='test_collection',
on_disk_payload=False,
on_disk_vectors=False,
):
drop_collection(collection_name)
response = request_with_validation(
api='/collections/{collection_name}',
method="PUT",
path_params={'collection_name': collection_name},
body={
"vectors": {
"size": 4,
"distance": "Dot",
"on_disk": on_disk_vectors,
},
"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
response = request_with_validation(
api='/collections/{collection_name}/points',
method="PUT",
path_params={'collection_name': collection_name},
query_params={'wait': 'true'},
body={
"points": [
{
"id": 1,
"vector": [0.05, 0.61, 0.76, 0.74],
"payload": {"city": "Berlin"}
},
{
"id": 2,
"vector": [0.19, 0.81, 0.75, 0.11],
"payload": {"city": ["Berlin", "London"]}
},
{
"id": 3,
"vector": [0.36, 0.55, 0.47, 0.94],
"payload": {"city": ["Berlin", "Moscow"]}
},
{
"id": 4,
"vector": [0.18, 0.01, 0.85, 0.80],
"payload": {"city": ["London", "Moscow"]}
},
{
"id": 5,
"vector": [0.24, 0.18, 0.22, 0.44],
"payload": {"count": 0}
},
{
"id": 6,
"vector": [0.35, 0.08, 0.11, 0.44]
},
{
"id": 7,
"vector": [0.25, 0.98, 0.14, 0.43],
"payload": {"city": None}
},
{
"id": 8,
"vector": [0.79, 0.53, 0.72, 0.15],
"payload": {"city": []}
},
]
}
)
assert response.ok
def multivec_collection_setup(
collection_name='test_collection',
on_disk_payload=False,
on_disk_vectors=False,
distance=None,
):
response = request_with_validation(
api='/collections/{collection_name}',
method="DELETE",
path_params={'collection_name': collection_name},
)
assert response.ok
response = request_with_validation(
api='/collections/{collection_name}',
method="PUT",
path_params={'collection_name': collection_name},
body={
"vectors": {
"image": {
"size": 4,
"distance": distance or "Dot",
"on_disk": on_disk_vectors,
},
"text": {
"size": 8,
"distance": distance or "Cosine",
"on_disk": on_disk_vectors,
},
},
"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
response = request_with_validation(
api='/collections/{collection_name}/points',
method="PUT",
path_params={'collection_name': collection_name},
query_params={'wait': 'true'},
body={
"points": [
{
"id": 1,
"vector": {
"image": [0.05, 0.61, 0.76, 0.74],
"text": [0.05, 0.61, 0.76, 0.74, 0.05, 0.61, 0.76, 0.74],
},
"payload": {"city": "Berlin"}
},
{
"id": 2,
"vector": {
"image": [0.19, 0.81, 0.75, 0.11],
"text": [0.19, 0.81, 0.75, 0.11, 0.19, 0.81, 0.75, 0.11],
},
"payload": {"city": ["Berlin", "London"]}
},
{
"id": 3,
"vector": {
"image": [0.36, 0.55, 0.47, 0.94],
"text": [0.36, 0.55, 0.47, 0.94, 0.36, 0.55, 0.47, 0.94],
},
"payload": {"city": ["Berlin", "Moscow"]}
},
{
"id": 4,
"vector": {
"image": [0.18, 0.01, 0.85, 0.80],
"text": [0.18, 0.01, 0.85, 0.80, 0.18, 0.01, 0.85, 0.80],
},
"payload": {"city": ["London", "Moscow"]}
},
{
"id": 5,
"vector": {
"image": [0.24, 0.18, 0.22, 0.44],
"text": [0.24, 0.18, 0.22, 0.44, 0.24, 0.18, 0.22, 0.44],
},
"payload": {"count": 0}
},
{
"id": 6,
"vector": {
"image": [0.35, 0.08, 0.11, 0.44],
"text": [0.35, 0.08, 0.11, 0.44, 0.35, 0.08, 0.11, 0.44],
}
}
]
}
)
assert response.ok