forked from mirrors/bookwyrm
76 lines
2.4 KiB
Python
76 lines
2.4 KiB
Python
''' using a bookwyrm instance as a source of book data '''
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from django.contrib.postgres.search import SearchRank, SearchVector
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from django.db.models import F
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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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def search(self, query, min_confidence=0.1):
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''' search your local database '''
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vector = 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('isbn_13', weight='A') +\
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SearchVector('isbn_10', weight='A') +\
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SearchVector('openlibrary_key', weight='C') +\
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SearchVector('goodreads_key', weight='C') +\
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SearchVector('asin', weight='C') +\
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SearchVector('oclc_number', weight='C') +\
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SearchVector('remote_id', weight='C') +\
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SearchVector('description', weight='D') +\
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SearchVector('series', weight='D')
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results = models.Edition.objects.annotate(
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search=vector
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).annotate(
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rank=SearchRank(vector, query)
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).filter(
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rank__gt=min_confidence
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).order_by('-rank')
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# remove non-default editions, if possible
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results = results.filter(parent_work__default_edition__id=F('id')) \
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or results
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search_results = []
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for book in set(results[:10]):
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search_results.append(
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self.format_search_result(book)
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)
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return search_results
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def format_search_result(self, search_result):
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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 if \
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search_result.published_date else None,
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connector=self,
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confidence=search_result.rank,
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)
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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_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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