colibri.qdrant / tests /basic_sparse_test.sh
Gouzi Mohaled
Ajout du dossier tests
3932407
#!/usr/bin/env bash
# This test checks that Qdrant answers to all API mentioned in README.md as expected
set -ex
QDRANT_HOST=${QDRANT_HOST:-'localhost:6333'}
COLLECTION_NAME=${COLLECTION_NAME:-'sparse_collection'}
qdrant_host_headers=()
if [ -n "${QDRANT_HOST_HEADERS}" ]; then
while read h; do
qdrant_host_headers+=("-H" "$h")
done <<< $(echo "${QDRANT_HOST_HEADERS}" | jq -r 'to_entries|map("\(.key): \(.value)")[]')
fi
# cleanup collection if it exists
curl -X DELETE "http://$QDRANT_HOST/collections/$COLLECTION_NAME" \
-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
--fail -s \
--fail -s | jq
# TODO(sparse) add validation and tests for case where dense and sparse vectors have the same name
# create collection
curl -X PUT "http://$QDRANT_HOST/collections/$COLLECTION_NAME" \
-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
--fail -s \
--data-raw '{
"sparse_vectors": {
"text": { }
},
"optimizers_config": {
"default_segment_number": 2
},
"replication_factor": 2
}' | jq
curl -L -X PUT "http://$QDRANT_HOST/collections/$COLLECTION_NAME/index" \
-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
--fail -s \
--data-raw '{
"field_name": "city",
"field_schema": "keyword"
}' | jq
curl -L -X PUT "http://$QDRANT_HOST/collections/$COLLECTION_NAME/index" \
-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
--fail -s \
--data-raw '{
"field_name": "count",
"field_schema": "integer"
}' | jq
curl -L -X PUT "http://$QDRANT_HOST/collections/$COLLECTION_NAME/index" \
-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
--fail -s \
--data-raw '{
"field_name": "coords",
"field_schema": "geo"
}' | jq
curl --fail -s "http://$QDRANT_HOST/collections/$COLLECTION_NAME" "${qdrant_host_headers[@]}" | jq
# insert points
curl -L -X PUT "http://$QDRANT_HOST/collections/$COLLECTION_NAME/points?wait=true" \
-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
--fail -s \
--data-raw '{
"points": [
{
"id": 1,
"vector": {
"text": {
"values": [0.05, 0.61, 0.76, 0.74],
"indices": [0, 1, 2, 3]
}
},
"payload": {
"city": "Berlin",
"country": "Germany" ,
"count": 1000000,
"square": 12.5,
"coords": { "lat": 1.0, "lon": 2.0 }
}
},
{
"id": 2,
"vector": {
"text": {
"values": [0.19, 0.81, 0.75, 0.11],
"indices": [0, 1, 2, 3]
}
},
"payload": {"city": ["Berlin", "London"]}
},
{
"id": 3,
"vector": {
"text": {
"values": [0.36, 0.55, 0.47, 0.94],
"indices": [0, 1, 2, 3]
}
},
"payload": {"city": ["Berlin", "Moscow"]}
},
{
"id": 4,
"vector": {
"text": {
"values": [0.18, 0.01, 0.85, 0.80],
"indices": [0, 1, 2, 3]
}
},
"payload": {"city": ["London", "Moscow"]}
},
{
"id": "98a9a4b1-4ef2-46fb-8315-a97d874fe1d7",
"vector": {
"text": {
"values": [0.24, 0.18, 0.22, 0.44],
"indices": [0, 1, 2, 3]
}
},
"payload": {"count": [0]}
},
{
"id": "f0e09527-b096-42a8-94e9-ea94d342b925",
"vector": {
"text": {
"values": [0.35, 0.08, 0.11, 0.44],
"indices": [0, 1, 2, 3]
}
}
}
]
}' | jq
# retrieve point
curl -L -X GET "http://$QDRANT_HOST/collections/$COLLECTION_NAME/points/2" \
-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
--fail -s | jq
# retrieve points
curl -L -X POST "http://$QDRANT_HOST/collections/$COLLECTION_NAME/points" \
-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
--fail -s \
--data-raw '{
"ids": [1, 2],
"with_vectors": true
}' | jq
SAVED_POINTS_COUNT=$(curl --fail -s "http://$QDRANT_HOST/collections/$COLLECTION_NAME" "${qdrant_host_headers[@]}" | jq '.result.points_count')
[[ "$SAVED_POINTS_COUNT" == "6" ]] || {
echo 'check failed - 6 points expected'
exit 1
}
# search points
curl -L -X POST "http://$QDRANT_HOST/collections/$COLLECTION_NAME/points/search" \
-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
--fail -s \
--data-raw '{
"vector": {
"name": "text",
"vector": {
"values": [0.2, 0.1, 0.9, 0.7],
"indices": [0, 1, 2, 3]
}
},
"top": 3
}' | jq
# search points batch
curl -L -X POST "http://$QDRANT_HOST/collections/$COLLECTION_NAME/points/search/batch" \
-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
--fail -s \
--data-raw '{
"searches": [
{
"vector": {
"name": "text",
"vector": {
"values": [0.2, 0.1, 0.9, 0.7],
"indices": [0, 1, 2, 3]
}
},
"top": 3
},
{
"vector": {
"name": "text",
"vector": {
"values": [0.2 ,0.1, 0.9, 0.7],
"indices": [0, 1, 2, 3]
}
},
"top": 3
}
]
}' | jq
curl -L -X POST "http://$QDRANT_HOST/collections/$COLLECTION_NAME/points/search" \
-H 'Content-Type: application/json' "${qdrant_host_headers[@]}" \
--fail -s \
--data-raw '{
"filter": {
"should": [
{
"key": "city",
"match": {
"value": "London"
}
}
]
},
"vector": {
"name": "text",
"vector": {
"values": [0.2, 0.1, 0.9, 0.7],
"indices": [0, 1, 2, 3]
}
},
"top": 3
}' | jq