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#!/usr/bin/env bash
# This test checks that Qdrant answers to all API mentioned in README.md as expected
set -ex
# Ensure current path is project root
cd "$(dirname "$0")/../"
QDRANT_HOST=${QDRANT_HOST:-'localhost:6334'}
docker_grpcurl=("docker" "run" "--rm" "--network=host" "-v" "${PWD}/lib/api/src/grpc/proto:/proto" "fullstorydev/grpcurl" "-plaintext" "-import-path" "/proto" "-proto" "qdrant.proto")
if [ -n "${QDRANT_HOST_HEADERS}" ]; then
while read h; do
docker_grpcurl+=("-H" "$h")
done <<< $(echo "${QDRANT_HOST_HEADERS}" | jq -r 'to_entries|map("\(.key): \(.value)")[]')
fi
"${docker_grpcurl[@]}" -d '{
"collection_name": "test_sparse_collection"
}' $QDRANT_HOST qdrant.Collections/Delete
"${docker_grpcurl[@]}" -d '{
"collection_name": "test_sparse_collection",
"sparse_vectors_config": {
"map": {
"test": { }
}
}
}' $QDRANT_HOST qdrant.Collections/Create
"${docker_grpcurl[@]}" -d '{}' $QDRANT_HOST qdrant.Collections/List
"${docker_grpcurl[@]}" -d '{
"collection_name": "test_sparse_collection",
"wait": true,
"ordering": null,
"points": [
{
"id": { "num": 1 },
"vectors": {
"vectors": {
"vectors": {
"test": { "data": [0.05, 0.61, 0.76, 0.74], "indices": { "data": [0,1,2,3] }}
}
}
},
"payload": {
"city": { "string_value": "Berlin" },
"country": { "string_value": "Germany" },
"population": { "integer_value": 1000000 },
"square": { "double_value": 12.5 },
"coords": { "struct_value": { "fields": { "lat": { "double_value": 1.0 }, "lon": { "double_value": 2.0 } } } }
}
},
{
"id": { "num": 2 },
"vectors": {
"vectors": {
"vectors": {
"test": { "data": [0.19, 0.81, 0.75, 0.11], "indices": { "data": [0,1,2,3] }}
}
}
},
"payload": {"city": {"list_value": {"values": [{ "string_value": "Berlin" }, { "string_value": "London" }]}}}
},
{
"id": { "num": 3 },
"vectors": {
"vectors": {
"vectors": {
"test": { "data": [0.36, 0.55, 0.47, 0.94], "indices": { "data": [0,1,2,3] }}
}
}
},
"payload": {"city": {"list_value": {"values": [{ "string_value": "Berlin" }, { "string_value": "Moscow" }]}}}
},
{
"id": { "num": 4 },
"vectors": {
"vectors": {
"vectors": {
"test": {"data": [0.18, 0.01, 0.85, 0.80], "indices": { "data": [0,1,2,3] }}
}
}
},
"payload": {"city": {"list_value": {"values": [{ "string_value": "London" }, { "string_value": "Moscow" }]}}}
},
{
"id": { "uuid": "98a9a4b1-4ef2-46fb-8315-a97d874fe1d7" },
"vectors": {
"vectors": {
"vectors": {
"test": {"data": [0.24, 0.18, 0.22, 0.44], "indices": { "data": [0,1,2,3] }}
}
}
},
"payload": {"count":{"list_value": {"values": [{ "integer_value": 0 }]}}}
},
{
"id": { "uuid": "f0e09527-b096-42a8-94e9-ea94d342b925" },
"vectors": {
"vectors": {
"vectors": {
"test": {"data": [0.35, 0.08, 0.11, 0.44], "indices": { "data": [0,1,2,3] }}
}
}
}
}
]
}' $QDRANT_HOST qdrant.Points/Upsert
"${docker_grpcurl[@]}" -d '{ "collection_name": "test_sparse_collection" }' $QDRANT_HOST qdrant.Collections/Get
"${docker_grpcurl[@]}" -d '{
"collection_name": "test_sparse_collection",
"vector": [0.2,0.1,0.9,0.7],
"sparse_indices": { "data": [0,1,2,3] },
"vector_name": "test",
"limit": 3
}' $QDRANT_HOST qdrant.Points/Search
"${docker_grpcurl[@]}" -d '{
"collection_name": "test_sparse_collection",
"filter": {
"should": [
{
"field": {
"key": "city",
"match": {
"keyword": "London"
}
}
}
]
},
"vector": [0.2,0.1,0.9,0.7],
"sparse_indices": { "data": [0,1,2,3] },
"vector_name": "test",
"limit": 3
}' $QDRANT_HOST qdrant.Points/Search
"${docker_grpcurl[@]}" -d '{
"collection_name": "test_sparse_collection",
"limit": 2,
"with_vectors": {"enable": true},
"filter": {
"should": [
{
"field": {
"key": "city",
"match": {
"keyword": "London"
}
}
}
]
}
}' $QDRANT_HOST qdrant.Points/Scroll
"${docker_grpcurl[@]}" -d '{
"collection_name": "test_sparse_collection",
"with_vectors": {"enable": true},
"ids": [{ "num": 2 }, { "num": 3 }, { "num": 4 }]
}' $QDRANT_HOST qdrant.Points/Get
# validate search request when vector and indices have different sizes
set +e
response=$(
"${docker_grpcurl[@]}" -d '{
"collection_name": "test_sparse_collection",
"vector": [0.2,0.1],
"sparse_indices": { "data": [0,1,2,3] },
"vector_name": "test",
"limit": 3
}' $QDRANT_HOST qdrant.Points/Search 2>&1
)
if [[ $response != *"Sparse indices does not match sparse vector conditions"* ]]; then
echo Unexpected response, expected validation error: $response
exit 1
fi
response=$(
"${docker_grpcurl[@]}" -d '{
"collection_name": "test_sparse_collection",
"wait": true,
"ordering": null,
"points": [
{
"id": { "uuid": "f0e09527-b096-42a8-94e9-ea94d342b885" },
"vectors": {
"vectors": {
"vectors": {
"test": {"data": [0.35, 0.08], "indices": { "data": [0,1,2,3] }}
}
}
}
}
]
}' $QDRANT_HOST qdrant.Points/Upsert 2>&1
)
if [[ $response != *"Validation error in body: [points[0].vectors.vectors_options.vectors.[].values: Validation error: must be the same length as indices [{}]]"* ]]; then
echo Unexpected response, expected validation error: $response
exit 1
fi
set -e
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