moviewyrm/bookwyrm/connectors/self_connector.py

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""" using a bookwyrm instance as a source of book data """
from functools import reduce
import operator
from django.contrib.postgres.search import SearchRank, SearchVector
from django.db.models import Count, F, Q
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from bookwyrm import models
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from .abstract_connector import AbstractConnector, SearchResult
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class Connector(AbstractConnector):
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""" instantiate a connector """
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# pylint: disable=arguments-differ
def search(self, query, min_confidence=0.1, raw=False):
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""" search your local database """
if not query:
return []
# first, try searching unqiue identifiers
results = search_identifiers(query)
if not results:
# then try searching title/author
results = search_title_author(query, min_confidence)
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search_results = []
for result in results:
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if raw:
search_results.append(result)
else:
search_results.append(self.format_search_result(result))
if len(search_results) >= 10:
break
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if not raw:
search_results.sort(key=lambda r: r.confidence, reverse=True)
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return search_results
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def isbn_search(self, query, raw=False):
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""" search your local database """
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if not query:
return []
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filters = [{f: query} for f in ["isbn_10", "isbn_13"]]
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results = models.Edition.objects.filter(
reduce(operator.or_, (Q(**f) for f in filters))
).distinct()
# when there are multiple editions of the same work, pick the default.
# it would be odd for this to happen.
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results = results.filter(parent_work__default_edition__id=F("id")) or results
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search_results = []
for result in results:
if raw:
search_results.append(result)
else:
search_results.append(self.format_search_result(result))
if len(search_results) >= 10:
break
return search_results
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def format_search_result(self, search_result):
return SearchResult(
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title=search_result.title,
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key=search_result.remote_id,
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author=search_result.author_text,
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year=search_result.published_date.year
if search_result.published_date
else None,
connector=self,
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cover="%s%s" % (self.covers_url, search_result.cover),
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confidence=search_result.rank if hasattr(search_result, "rank") else 1,
)
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def format_isbn_search_result(self, search_result):
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return self.format_search_result(search_result)
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def is_work_data(self, data):
pass
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def get_edition_from_work_data(self, data):
pass
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def get_work_from_edition_data(self, data):
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pass
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def get_authors_from_data(self, data):
return None
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def parse_isbn_search_data(self, data):
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""" it's already in the right format, don't even worry about it """
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return data
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def parse_search_data(self, data):
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""" it's already in the right format, don't even worry about it """
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return data
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def expand_book_data(self, book):
pass
def search_identifiers(query):
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""" tries remote_id, isbn; defined as dedupe fields on the model """
filters = [
{f.name: query}
for f in models.Edition._meta.get_fields()
if hasattr(f, "deduplication_field") and f.deduplication_field
]
results = models.Edition.objects.filter(
reduce(operator.or_, (Q(**f) for f in filters))
).distinct()
# when there are multiple editions of the same work, pick the default.
# it would be odd for this to happen.
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return results.filter(parent_work__default_edition__id=F("id")) or results
def search_title_author(query, min_confidence):
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""" searches for title and author """
vector = (
SearchVector("title", weight="A")
+ SearchVector("subtitle", weight="B")
+ SearchVector("authors__name", weight="C")
+ SearchVector("series", weight="D")
)
results = (
models.Edition.objects.annotate(search=vector)
.annotate(rank=SearchRank(vector, query))
.filter(rank__gt=min_confidence)
.order_by("-rank")
)
# when there are multiple editions of the same work, pick the closest
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editions_of_work = (
results.values("parent_work")
.annotate(Count("parent_work"))
.values_list("parent_work")
)
for work_id in set(editions_of_work):
editions = results.filter(parent_work=work_id)
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default = editions.filter(parent_work__default_edition=F("id"))
default_rank = default.first().rank if default.exists() else 0
# if mutliple books have the top rank, pick the default edition
if default_rank == editions.first().rank:
yield default.first()
else:
yield editions.first()