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swh/search/elasticsearch.py
| Show First 20 Lines • Show All 53 Lines • ▼ Show 20 Lines | |||||
| def token_decode(page_token: str) -> Dict[bytes, Any]: | def token_decode(page_token: str) -> Dict[bytes, Any]: | ||||
| """Read the page_token | """Read the page_token | ||||
| """ | """ | ||||
| return msgpack.loads(base64.b64decode(page_token.encode()), raw=True) | return msgpack.loads(base64.b64decode(page_token.encode()), raw=True) | ||||
| class ElasticSearch: | class ElasticSearch: | ||||
| def __init__(self, hosts: List[str]): | def __init__(self, hosts: List[str], index_prefix=None): | ||||
| self._backend = Elasticsearch(hosts=hosts) | self._backend = Elasticsearch(hosts=hosts) | ||||
| self.index_prefix = index_prefix | |||||
| self.origin_index = "origin" | |||||
| if index_prefix: | |||||
| self.origin_index = index_prefix + "_" + self.origin_index | |||||
| def check(self): | def check(self): | ||||
| return self._backend.ping() | return self._backend.ping() | ||||
| def deinitialize(self) -> None: | def deinitialize(self) -> None: | ||||
| """Removes all indices from the Elasticsearch backend""" | """Removes all indices from the Elasticsearch backend""" | ||||
| self._backend.indices.delete(index="*") | self._backend.indices.delete(index="*") | ||||
| def initialize(self) -> None: | def initialize(self) -> None: | ||||
| """Declare Elasticsearch indices and mappings""" | """Declare Elasticsearch indices and mappings""" | ||||
| if not self._backend.indices.exists(index="origin"): | if not self._backend.indices.exists(index=self.origin_index): | ||||
| self._backend.indices.create(index="origin") | self._backend.indices.create(index=self.origin_index) | ||||
| self._backend.indices.put_mapping( | self._backend.indices.put_mapping( | ||||
| index="origin", | index=self.origin_index, | ||||
| body={ | body={ | ||||
| "properties": { | "properties": { | ||||
| # sha1 of the URL; used as the document id | # sha1 of the URL; used as the document id | ||||
| "sha1": {"type": "keyword", "doc_values": True,}, | "sha1": {"type": "keyword", "doc_values": True,}, | ||||
| # Used both to search URLs, and as the result to return | # Used both to search URLs, and as the result to return | ||||
| # as a response to queries | # as a response to queries | ||||
| "url": { | "url": { | ||||
| "type": "text", | "type": "text", | ||||
| Show All 21 Lines | def initialize(self) -> None: | ||||
| } | } | ||||
| }, | }, | ||||
| }, | }, | ||||
| } | } | ||||
| }, | }, | ||||
| ) | ) | ||||
| def flush(self) -> None: | def flush(self) -> None: | ||||
| self._backend.indices.refresh(index="_all") | self._backend.indices.refresh(index=self.origin_index) | ||||
| def origin_update(self, documents: Iterable[Dict]) -> None: | def origin_update(self, documents: Iterable[Dict]) -> None: | ||||
| documents = map(_sanitize_origin, documents) | documents = map(_sanitize_origin, documents) | ||||
| documents_with_sha1 = ( | documents_with_sha1 = ( | ||||
| (origin_identifier(document), document) for document in documents | (origin_identifier(document), document) for document in documents | ||||
| ) | ) | ||||
| actions = [ | actions = [ | ||||
| { | { | ||||
| "_op_type": "update", | "_op_type": "update", | ||||
| "_id": sha1, | "_id": sha1, | ||||
| "_index": "origin", | "_index": self.origin_index, | ||||
| "doc": {**document, "sha1": sha1,}, | "doc": {**document, "sha1": sha1,}, | ||||
| "doc_as_upsert": True, | "doc_as_upsert": True, | ||||
| } | } | ||||
| for (sha1, document) in documents_with_sha1 | for (sha1, document) in documents_with_sha1 | ||||
| ] | ] | ||||
| bulk(self._backend, actions, index="origin") | bulk(self._backend, actions, index=self.origin_index) | ||||
| def origin_dump(self) -> Iterator[model.Origin]: | def origin_dump(self) -> Iterator[model.Origin]: | ||||
| results = scan(self._backend, index="*") | results = scan(self._backend, index=self.origin_index) | ||||
| for hit in results: | for hit in results: | ||||
| yield self._backend.termvectors(index="origin", id=hit["_id"], fields=["*"]) | yield self._backend.termvectors( | ||||
| index=self.origin_index, id=hit["_id"], fields=["*"] | |||||
| ) | |||||
| def origin_search( | def origin_search( | ||||
| self, | self, | ||||
| *, | *, | ||||
| url_pattern: Optional[str] = None, | url_pattern: Optional[str] = None, | ||||
| metadata_pattern: Optional[str] = None, | metadata_pattern: Optional[str] = None, | ||||
| with_visit: bool = False, | with_visit: bool = False, | ||||
| page_token: Optional[str] = None, | page_token: Optional[str] = None, | ||||
| ▲ Show 20 Lines • Show All 57 Lines • ▼ Show 20 Lines | ) -> PagedResult[Dict[str, Any]]: | ||||
| if page_token: | if page_token: | ||||
| # TODO: use ElasticSearch's scroll API? | # TODO: use ElasticSearch's scroll API? | ||||
| page_token_content = token_decode(page_token) | page_token_content = token_decode(page_token) | ||||
| body["search_after"] = [ | body["search_after"] = [ | ||||
| page_token_content[b"score"], | page_token_content[b"score"], | ||||
| page_token_content[b"sha1"].decode("ascii"), | page_token_content[b"sha1"].decode("ascii"), | ||||
| ] | ] | ||||
| res = self._backend.search(index="origin", body=body, size=limit) | res = self._backend.search(index=self.origin_index, body=body, size=limit) | ||||
| hits = res["hits"]["hits"] | hits = res["hits"]["hits"] | ||||
| next_page_token: Optional[str] = None | next_page_token: Optional[str] = None | ||||
| if len(hits) == limit: | if len(hits) == limit: | ||||
| # There are more results after this page; return a pagination token | # There are more results after this page; return a pagination token | ||||
| # to get them in a future query | # to get them in a future query | ||||
| Show All 13 Lines | |||||