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# Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. licenses this file to you 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.
import asyncio
import os
from typing import TYPE_CHECKING, Any, List, Optional
from elasticsearch.dsl import (
AsyncDocument,
AsyncSearch,
Keyword,
Percolator,
Q,
Query,
async_connections,
mapped_field,
)
class BlogPost(AsyncDocument):
"""
Blog posts that will be automatically tagged based on percolation queries.
"""
if TYPE_CHECKING:
# definitions here help type checkers understand additional arguments
# that are allowed in the constructor
_id: int
content: Optional[str]
tags: List[str] = mapped_field(Keyword(), default_factory=list)
class Index:
name = "test-blogpost"
async def add_tags(self) -> None:
# run a percolation to automatically tag the blog post.
s = AsyncSearch(index="test-percolator")
s = s.query(
"percolate", field="query", index=self._get_index(), document=self.to_dict()
)
# collect all the tags from matched percolators
async for percolator in s:
self.tags.extend(percolator.tags)
# make sure tags are unique
self.tags = list(set(self.tags))
async def save(self, **kwargs: Any) -> None: # type: ignore[override]
await self.add_tags()
await super().save(**kwargs)
class PercolatorDoc(AsyncDocument):
"""
Document class used for storing the percolation queries.
"""
if TYPE_CHECKING:
_id: str
# relevant fields from BlogPost must be also present here for the queries
# to be able to use them. Another option would be to use document
# inheritance but save() would have to be reset to normal behavior.
content: Optional[str]
# the percolator query to be run against the doc
query: Query = mapped_field(Percolator())
# list of tags to append to a document
tags: List[str] = mapped_field(Keyword(multi=True))
class Index:
name = "test-percolator"
settings = {"number_of_shards": 1, "number_of_replicas": 0}
async def setup() -> None:
# create the percolator index if it doesn't exist
if not await PercolatorDoc._index.exists():
await PercolatorDoc.init()
# register a percolation query looking for documents about python
await PercolatorDoc(
_id="python",
tags=["programming", "development", "python"],
content="",
query=Q("match", content="python"),
).save(refresh=True)
async def main() -> None:
# initiate the default connection to elasticsearch
async_connections.create_connection(hosts=[os.environ["ELASTICSEARCH_URL"]])
await setup()
# close the connection
await async_connections.get_connection().close()
if __name__ == "__main__":
asyncio.run(main())
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