#
# Pyserini: Reproducible IR research with sparse and dense representations
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from elasticsearch import Elasticsearch

# Create the client instance
client = Elasticsearch("http://localhost:9200")

resp = client.search(index="msmarco-v1-passage", query={"bool": {
    "must_not": {
        "exists": {
            "field": "vector"
        }
    }
}}, track_total_hits=True)

print(resp['hits']['total']['value'])
