forked from mirrors/bookwyrm
171 lines
5.5 KiB
Python
171 lines
5.5 KiB
Python
""" using a bookwyrm instance as a source of book data """
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from functools import reduce
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import operator
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from django.contrib.postgres.search import SearchRank, SearchVector
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from django.db.models import OuterRef, Subquery, 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
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def search(self, query, min_confidence=0.1, raw=False, filters=None):
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"""search your local database"""
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filters = filters or []
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if not query:
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return []
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# first, try searching unqiue identifiers
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results = search_identifiers(query, *filters)
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if not results:
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# then try searching title/author
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results = search_title_author(query, min_confidence, *filters)
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search_results = []
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for result in results:
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if raw:
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search_results.append(result)
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else:
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search_results.append(self.format_search_result(result))
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if len(search_results) >= 10:
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break
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if not raw:
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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:
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return []
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filters = [{f: query} for f in ["isbn_10", "isbn_13"]]
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results = models.Edition.objects.filter(
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reduce(operator.or_, (Q(**f) for f in filters))
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).distinct()
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# when there are multiple editions of the same work, pick the default.
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# it would be odd for this to happen.
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default_editions = models.Edition.objects.filter(
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parent_work=OuterRef("parent_work")
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).order_by("-edition_rank")
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results = (
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results.annotate(
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default_id=Subquery(default_editions.values("id")[:1])
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).filter(default_id=F("id"))
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or results
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)
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search_results = []
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for result in results:
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if raw:
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search_results.append(result)
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else:
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search_results.append(self.format_search_result(result))
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if len(search_results) >= 10:
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break
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return search_results
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def format_search_result(self, search_result):
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cover = None
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if search_result.cover:
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cover = "%s%s" % (self.covers_url, search_result.cover)
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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
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if search_result.published_date
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else None,
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connector=self,
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cover=cover,
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confidence=search_result.rank if hasattr(search_result, "rank") else 1,
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)
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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):
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pass
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def get_edition_from_work_data(self, data):
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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):
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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):
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pass
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def search_identifiers(query, *filters):
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"""tries remote_id, isbn; defined as dedupe fields on the model"""
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or_filters = [
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{f.name: query}
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for f in models.Edition._meta.get_fields()
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if hasattr(f, "deduplication_field") and f.deduplication_field
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]
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results = models.Edition.objects.filter(
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*filters, reduce(operator.or_, (Q(**f) for f in or_filters))
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).distinct()
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if results.count() <= 1:
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return results
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# when there are multiple editions of the same work, pick the default.
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# it would be odd for this to happen.
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default_editions = models.Edition.objects.filter(
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parent_work=OuterRef("parent_work")
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).order_by("-edition_rank")
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return (
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results.annotate(default_id=Subquery(default_editions.values("id")[:1]))
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.filter(default_id=F("id"))
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or results
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)
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def search_title_author(query, min_confidence, *filters):
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"""searches for title and author"""
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vector = (
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SearchVector("title", weight="A")
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+ SearchVector("subtitle", weight="B")
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+ SearchVector("authors__name", weight="C")
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+ SearchVector("series", weight="D")
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)
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results = (
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models.Edition.objects
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.annotate(rank=SearchRank(vector, query))
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.filter(*filters, rank__gt=min_confidence)
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.order_by("-rank")
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)
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# when there are multiple editions of the same work, pick the closest
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editions_of_work = (
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results.values("parent_work__id")
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.values_list("parent_work__id")
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)
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# filter out multiple editions of the same work
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for work_id in set(editions_of_work):
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editions = results.filter(parent_work=work_id)
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default = editions.order_by("-edition_rank").first()
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default_rank = default.rank if default else 0
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# if mutliple books have the top rank, pick the default edition
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if default_rank == editions.first().rank:
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yield default
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else:
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yield editions.first()
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