mirror of
https://github.com/qdrant/qdrant.git
synced 2026-07-23 11:11:00 -05:00
96a5a2bce8
Collection name under test is equal to the test module name, without `.py` suffix. * Helps by debugging/tracing failed tests and find relevant logs lines in qdrant log files * Opens up a possibility to run tests in parallel, given that there are no data sharing between test modules Change details: * defined module scoped `collection_name` fixture in `conftest.py` * removed `collection_name` module variable * each test signature modified to declare the dependency to `collection_name` fixture * `@pytest.mark.parametrize` migrated to `@pytest-cases.parametrize` in cases when `collection_name` was used as the value
152 lines
4.0 KiB
Python
152 lines
4.0 KiB
Python
import pytest
|
|
|
|
from .helpers.collection_setup import drop_collection
|
|
from .helpers.helpers import request_with_validation
|
|
|
|
|
|
@pytest.fixture(autouse=True)
|
|
def setup(collection_name):
|
|
sparse_collection_setup(collection_name=collection_name)
|
|
yield
|
|
drop_collection(collection_name=collection_name)
|
|
|
|
|
|
def sparse_collection_setup(
|
|
collection_name='test_collection',
|
|
):
|
|
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={
|
|
"sparse_vectors": {
|
|
"text": {}
|
|
},
|
|
}
|
|
)
|
|
assert response.ok
|
|
|
|
|
|
def test_sparse_dense_updates(collection_name):
|
|
|
|
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": {
|
|
"text": {
|
|
"indices": [100, 500, 10], "values": [0.9, 0.8, 0.5]
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}
|
|
)
|
|
assert response.ok
|
|
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/search',
|
|
method="POST",
|
|
path_params={'collection_name': collection_name},
|
|
body={
|
|
"limit": 10,
|
|
"vector": {
|
|
"name": "text",
|
|
"vector": {
|
|
"indices": [100],
|
|
"values": [0.9]
|
|
}
|
|
}
|
|
}
|
|
)
|
|
assert response.ok
|
|
assert len(response.json()['result']) == 1
|
|
|
|
# Overwrite existing vector with new indices
|
|
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": {
|
|
"text": {
|
|
"indices": [600, 700, 10], "values": [0.9, 0.8, 0.5]
|
|
}
|
|
}
|
|
}
|
|
]
|
|
}
|
|
)
|
|
assert response.ok
|
|
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/search',
|
|
method="POST",
|
|
path_params={'collection_name': collection_name},
|
|
body={
|
|
"limit": 10,
|
|
"vector": {
|
|
"name": "text",
|
|
"vector": {
|
|
"indices": [100],
|
|
"values": [0.9]
|
|
}
|
|
}
|
|
}
|
|
)
|
|
assert response.ok
|
|
assert len(response.json()['result']) == 0
|
|
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/search',
|
|
method="POST",
|
|
path_params={'collection_name': collection_name},
|
|
body={
|
|
"limit": 10,
|
|
"vector": {
|
|
"name": "text",
|
|
"vector": {
|
|
"indices": [700],
|
|
"values": [0.9]
|
|
}
|
|
}
|
|
}
|
|
)
|
|
assert response.ok
|
|
assert len(response.json()['result']) == 1
|
|
|
|
response = request_with_validation(
|
|
api='/collections/{collection_name}/points/search',
|
|
method="POST",
|
|
path_params={'collection_name': collection_name},
|
|
body={
|
|
"limit": 10,
|
|
"vector": {
|
|
"name": "text",
|
|
"vector": {
|
|
"indices": [10],
|
|
"values": [0.9]
|
|
}
|
|
}
|
|
}
|
|
)
|
|
assert response.ok
|
|
assert len(response.json()['result']) == 1
|
|
|