diff --git a/swh/search/elasticsearch.py b/swh/search/elasticsearch.py index 515a88c..4af479c 100644 --- a/swh/search/elasticsearch.py +++ b/swh/search/elasticsearch.py @@ -1,200 +1,200 @@ # Copyright (C) 2019 The Software Heritage developers # See the AUTHORS file at the top-level directory of this distribution # License: GNU General Public License version 3, or any later version # See top-level LICENSE file for more information import base64 from typing import Iterable, Dict, List, Iterator from elasticsearch import Elasticsearch from elasticsearch.helpers import bulk, scan import msgpack from swh.core.api import remote_api_endpoint from swh.model import model from swh.model.identifiers import origin_identifier def _sanitize_origin(origin): origin = origin.copy() res = { 'url': origin.pop('url') } - for field_name in ('type', 'intrinsic_metadata'): + for field_name in ('intrinsic_metadata',): if field_name in origin: res[field_name] = origin.pop(field_name) return res class ElasticSearch: def __init__(self, hosts: List[str]): self._backend = Elasticsearch(hosts=hosts) @remote_api_endpoint('check') def check(self): return self._backend.ping() def deinitialize(self) -> None: """Removes all indices from the Elasticsearch backend""" self._backend.indices.delete(index='*') def initialize(self) -> None: """Declare Elasticsearch indices and mappings""" self._backend.indices.create( index='origin', body={ 'mappings': { 'properties': { 'url': { 'type': 'text', # TODO: consider removing fielddata when # swh-storage allows querying by hash, so the # full URL does not have to be stored in ES' # memory. See: # https://www.elastic.co/guide/en/elasticsearch/reference/current/fielddata.html#before-enabling-fielddata 'fielddata': True, # To split URLs into token on any character # that is not alphanumerical 'analyzer': 'simple', 'fields': { 'as_you_type': { 'type': 'search_as_you_type', 'analyzer': 'simple', } } }, 'intrinsic_metadata': { 'type': 'nested', 'properties': { '@context': { # don't bother indexing tokens 'type': 'keyword', } }, }, } } } ) @remote_api_endpoint('origin/update') def origin_update(self, documents: Iterable[dict]) -> None: documents = map(_sanitize_origin, documents) actions = [ { '_op_type': 'update', '_id': origin_identifier(document), '_index': 'origin', 'doc': document, 'doc_as_upsert': True, } for document in documents ] bulk(self._backend, actions, index='origin', refresh='wait_for') def origin_dump(self) -> Iterator[model.Origin]: """Returns all content in Elasticsearch's index. Not exposed publicly; but useful for tests.""" results = list(scan(self._backend, index='*')) for hit in results: yield self._backend.termvectors( index='origin', id=hit['_id'], fields=['*']) @remote_api_endpoint('origin/search') def origin_search( self, *, url_pattern: str = None, metadata_pattern: str = None, cursor: str = None, count: int = 50 ) -> Dict[str, object]: """Searches for origins matching the `url_pattern`. Args: url_pattern (str): Part of thr URL to search for cursor (str): `cursor` is opaque value used for pagination. count (int): number of results to return. Returns: a dictionary with keys: * `cursor`: opaque value used for fetching more results. `None` if there are no more result. * `results`: list of dictionaries with key: * `url`: URL of a matching origin """ query_clauses = [] if url_pattern: query_clauses.append({ 'multi_match': { 'query': url_pattern, 'type': 'bool_prefix', 'fields': [ 'url.as_you_type', 'url.as_you_type._2gram', 'url.as_you_type._3gram', ] } }) if metadata_pattern: query_clauses.append({ 'nested': { 'path': 'intrinsic_metadata', 'query': { 'multi_match': { 'query': metadata_pattern, 'fields': ['intrinsic_metadata.*'] } }, } }) if not query_clauses: raise ValueError( 'At least one of url_pattern and metadata_pattern ' 'must be provided.') body = { 'query': { 'bool': { 'should': query_clauses, } }, 'size': count, 'sort': [ {'_score': 'desc'}, {'_id': 'asc'}, ] } if cursor: cursor = msgpack.loads(base64.b64decode(cursor)) body['search_after'] = \ [cursor[b'score'], cursor[b'id'].decode('ascii')] res = self._backend.search( index='origin', body=body, size=count, ) hits = res['hits']['hits'] if len(hits) == count: last_hit = hits[-1] next_cursor = { b'score': last_hit['_score'], b'id': last_hit['_id'], } next_cursor = base64.b64encode(msgpack.dumps(next_cursor)) else: next_cursor = None return { 'cursor': next_cursor, 'results': [ {'url': hit['_source']['url']} for hit in hits ] }