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-rw-r--r--python/fatcat_web/search.py274
1 files changed, 199 insertions, 75 deletions
diff --git a/python/fatcat_web/search.py b/python/fatcat_web/search.py
index 0fce6454..5baa8497 100644
--- a/python/fatcat_web/search.py
+++ b/python/fatcat_web/search.py
@@ -2,112 +2,236 @@
"""
Helpers for doing elasticsearch queries (used in the web interface; not part of
the formal API)
-
-TODO: ELASTICSEARCH_*_INDEX should probably be factored out and just hard-coded
"""
+import sys
import datetime
+from dataclasses import dataclass
+from typing import List, Optional, Any
+
import requests
from flask import abort, flash
-from fatcat_web import app
-
import elasticsearch
from elasticsearch_dsl import Search, Q
+import elasticsearch_dsl.response
-def generic_search_execute(search, limit=30, offset=0, deep_page_limit=2000):
+from fatcat_web import app
- # Sanity checks
- if limit > 100:
- limit = 100
- if offset < 0:
- offset = 0
- if offset > deep_page_limit:
- # Avoid deep paging problem.
- offset = deep_page_limit
+@dataclass
+class ReleaseQuery:
+ q: Optional[str] = None
+ limit: Optional[int] = None
+ offset: Optional[int] = None
+ fulltext_only: bool = False
+ container_id: Optional[str] = None
+
+ @classmethod
+ def from_args(cls, args) -> 'ReleaseQuery':
+
+ query_str = args.get('q') or '*'
+
+ container_id = args.get('container_id')
+ # TODO: as filter, not in query string
+ if container_id:
+ query_str += ' container_id:"{}"'.format(container_id)
+
+ # TODO: where are container_issnl queries actually used?
+ issnl = args.get('container_issnl')
+ if issnl and query_str:
+ query_str += ' container_issnl:"{}"'.format(issnl)
+
+ offset = args.get('offset', '0')
+ offset = max(0, int(offset)) if offset.isnumeric() else 0
+
+ return ReleaseQuery(
+ q=query_str,
+ offset=offset,
+ fulltext_only=bool(args.get('fulltext_only')),
+ container_id=container_id,
+ )
+
+@dataclass
+class GenericQuery:
+ q: Optional[str] = None
+ limit: Optional[int] = None
+ offset: Optional[int] = None
+
+ @classmethod
+ def from_args(cls, args) -> 'GenericQuery':
+ query_str = args.get('q')
+ if not query_str:
+ query_str = '*'
+ offset = args.get('offset', '0')
+ offset = max(0, int(offset)) if offset.isnumeric() else 0
+
+ return GenericQuery(
+ q=query_str,
+ offset=offset,
+ )
+
+@dataclass
+class SearchHits:
+ count_returned: int
+ count_found: int
+ offset: int
+ limit: int
+ deep_page_limit: int
+ query_time_ms: int
+ results: List[Any]
+
+
+def results_to_dict(response: elasticsearch_dsl.response.Response) -> List[dict]:
+ """
+ Takes a response returns all the hits as JSON objects.
+
+ Also handles surrogate strings that elasticsearch returns sometimes,
+ probably due to mangled data processing in some pipeline. "Crimes against
+ Unicode"; production workaround
+ """
+
+ results = []
+ for h in response:
+ r = h._d_
+ # print(h.meta._d_)
+ results.append(r)
- search = search[int(offset):int(offset)+int(limit)]
+ for h in results:
+ for key in h:
+ if type(h[key]) is str:
+ h[key] = h[key].encode("utf8", "ignore").decode("utf8")
+ return results
+def wrap_es_execution(search: Search) -> Any:
+ """
+ Executes a Search object, and converts various ES error types into
+ something we can pretty print to the user.
+ """
try:
resp = search.execute()
except elasticsearch.exceptions.RequestError as e:
# this is a "user" error
- print("elasticsearch 400: " + str(e.info))
- flash("Search query failed to parse; you might need to use quotes.<p><code>{}: {}</code>".format(e.error, e.info['error']['root_cause'][0]['reason']))
- abort(e.status_code)
+ print("elasticsearch 400: " + str(e.info), file=sys.stderr)
+ if e.info.get("error", {}).get("root_cause", {}):
+ raise ValueError(str(e.info["error"]["root_cause"][0].get("reason")))
+ else:
+ raise ValueError(str(e.info))
except elasticsearch.exceptions.TransportError as e:
# all other errors
- print("elasticsearch non-200 status code: {}".format(e.info))
- flash("Elasticsearch error: {}".format(e.error))
- abort(e.status_code)
+ print("elasticsearch non-200 status code: {}".format(e.info), file=sys.stderr)
+ raise IOError(str(e.info))
+ return resp
- # just the dict()
- hits = [h._d_ for h in resp]
- for h in hits:
- # Handle surrogate strings that elasticsearch returns sometimes,
- # probably due to mangled data processing in some pipeline.
- # "Crimes against Unicode"; production workaround
- for key in h:
- if type(h[key]) is str:
- h[key] = h[key].encode('utf8', 'ignore').decode('utf8')
+def do_container_search(
+ query: GenericQuery, deep_page_limit: int = 2000
+) -> SearchHits:
- return {"count_returned": len(hits),
- "count_found": int(resp.hits.total),
- "results": hits,
- "offset": offset,
- "limit": limit,
- "deep_page_limit": deep_page_limit}
+ search = Search(using=app.es_client, index=app.config['ELASTICSEARCH_CONTAINER_INDEX'])
+ search = search.query(
+ "query_string",
+ query=query.q,
+ default_operator="AND",
+ analyze_wildcard=True,
+ allow_leading_wildcard=False,
+ lenient=True,
+ fields=["biblio"],
+ )
-def do_release_search(q, limit=30, fulltext_only=True, offset=0):
+ # Sanity checks
+ limit = min((int(query.limit or 25), 100))
+ offset = max((int(query.offset or 0), 0))
+ if offset > deep_page_limit:
+ # Avoid deep paging problem.
+ offset = deep_page_limit
- # Convert raw DOIs to DOI queries
- if len(q.split()) == 1 and q.startswith("10.") and q.count("/") >= 1:
- q = 'doi:"{}"'.format(q)
+ search = search[offset : (offset + limit)]
- if fulltext_only:
- q += " in_web:true"
+ resp = wrap_es_execution(search)
+ results = results_to_dict(resp)
- search = Search(using=app.es_client, index=app.config['ELASTICSEARCH_RELEASE_INDEX']) \
- .query(
- 'query_string',
- query=q,
- default_operator="AND",
- analyze_wildcard=True,
- lenient=True,
- fields=["biblio"],
- )
+ return SearchHits(
+ count_returned=len(results),
+ count_found=int(resp.hits.total),
+ offset=offset,
+ limit=limit,
+ deep_page_limit=deep_page_limit,
+ query_time_ms=int(resp.took),
+ results=results,
+ )
- resp = generic_search_execute(search, offset=offset)
+def do_release_search(
+ query: ReleaseQuery, deep_page_limit: int = 2000
+) -> SearchHits:
+
+ search = Search(using=app.es_client, index=app.config['ELASTICSEARCH_RELEASE_INDEX'])
+
+ # availability filters
+ if query.fulltext_only:
+ search = search.filter("term", in_ia=True)
+
+ # Below, we combine several queries to improve scoring.
+
+ # this query use the fancy built-in query string parser
+ basic_biblio = Q(
+ "query_string",
+ query=query.q,
+ default_operator="AND",
+ analyze_wildcard=True,
+ allow_leading_wildcard=False,
+ lenient=True,
+ fields=[
+ "title^2",
+ "biblio",
+ ],
+ )
+ has_fulltext = Q("term", in_ia=True)
+ poor_metadata = Q(
+ "bool",
+ should=[
+ # if these fields aren't set, metadata is poor. The more that do
+ # not exist, the stronger the signal.
+ Q("bool", must_not=Q("exists", field="title")),
+ Q("bool", must_not=Q("exists", field="release_year")),
+ Q("bool", must_not=Q("exists", field="release_type")),
+ Q("bool", must_not=Q("exists", field="release_stage")),
+ ],
+ )
- for h in resp['results']:
- print(h)
- # Ensure 'contrib_names' is a list, not a single string
- if type(h['contrib_names']) is not list:
- h['contrib_names'] = [h['contrib_names'], ]
- h['contrib_names'] = [name.encode('utf8', 'ignore').decode('utf8') for name in h['contrib_names']]
- resp["query"] = { "q": q }
- return resp
+ search = search.query(
+ "boosting",
+ positive=Q("bool", must=basic_biblio, should=[has_fulltext],),
+ negative=poor_metadata,
+ negative_boost=0.5,
+ )
+ # Sanity checks
+ limit = min((int(query.limit or 25), 100))
+ offset = max((int(query.offset or 0), 0))
+ if offset > deep_page_limit:
+ # Avoid deep paging problem.
+ offset = deep_page_limit
-def do_container_search(q, limit=30, offset=0):
+ search = search[offset : (offset + limit)]
- # Convert raw ISSN-L to ISSN-L query
- if len(q.split()) == 1 and len(q) == 9 and q[0:4].isdigit() and q[4] == '-':
- q = 'issnl:"{}"'.format(q)
+ resp = wrap_es_execution(search)
+ results = results_to_dict(resp)
- search = Search(using=app.es_client, index=app.config['ELASTICSEARCH_RELEASE_INDEX']) \
- .query(
- 'query_string',
- query=q,
- default_operator="AND",
- analyze_wildcard=True,
- lenient=True,
- fields=["biblio"],
- )
+ for h in results:
+ # Ensure 'contrib_names' is a list, not a single string
+ print(h, file=sys.stderr)
+ if type(h['contrib_names']) is not list:
+ h['contrib_names'] = [h['contrib_names'], ]
+ h['contrib_names'] = [name.encode('utf8', 'ignore').decode('utf8') for name in h['contrib_names']]
- resp = generic_search_execute(search, offset=offset)
- resp["query"] = { "q": q }
- return resp
+ return SearchHits(
+ count_returned=len(results),
+ count_found=int(resp.hits.total),
+ offset=offset,
+ limit=limit,
+ deep_page_limit=deep_page_limit,
+ query_time_ms=int(resp.took),
+ results=results,
+ )
def get_elastic_entity_stats():
"""