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This commit is contained in:
Mouse Reeve
2021-03-08 08:49:10 -08:00
parent a07f955781
commit 70296e760b
198 changed files with 10239 additions and 8572 deletions
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86
bookwyrm/connectors/self_connector.py
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@ -1,4 +1,4 @@
''' using a bookwyrm instance as a source of book data '''
""" using a bookwyrm instance as a source of book data """
from functools import reduce
import operator
@ -10,10 +10,11 @@ from .abstract_connector import AbstractConnector, SearchResult
class Connector(AbstractConnector):
''' instantiate a connector '''
""" instantiate a connector """
# pylint: disable=arguments-differ
def search(self, query, min_confidence=0.1, raw=False):
''' search your local database '''
""" search your local database """
if not query:
return []
# first, try searching unqiue identifiers
@ -34,19 +35,18 @@ class Connector(AbstractConnector):
return search_results
def isbn_search(self, query, raw=False):
''' search your local database '''
""" search your local database """
if not query:
return []
filters = [{f: query} for f in ['isbn_10', 'isbn_13']]
filters = [{f: query} for f in ["isbn_10", "isbn_13"]]
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.
results = results.filter(parent_work__default_edition__id=F('id')) \
or results
results = results.filter(parent_work__default_edition__id=F("id")) or results
search_results = []
for result in results:
@ -58,33 +58,30 @@ class Connector(AbstractConnector):
break
return search_results
def format_search_result(self, search_result):
return SearchResult(
title=search_result.title,
key=search_result.remote_id,
author=search_result.author_text,
year=search_result.published_date.year if \
search_result.published_date else None,
year=search_result.published_date.year
if search_result.published_date
else None,
connector=self,
confidence=search_result.rank if \
hasattr(search_result, 'rank') else 1,
confidence=search_result.rank if hasattr(search_result, "rank") else 1,
)
def format_isbn_search_result(self, search_result):
return SearchResult(
title=search_result.title,
key=search_result.remote_id,
author=search_result.author_text,
year=search_result.published_date.year if \
search_result.published_date else None,
year=search_result.published_date.year
if search_result.published_date
else None,
connector=self,
confidence=search_result.rank if \
hasattr(search_result, 'rank') else 1,
confidence=search_result.rank if hasattr(search_result, "rank") else 1,
)
def is_work_data(self, data):
pass
@ -98,11 +95,11 @@ class Connector(AbstractConnector):
return None
def parse_isbn_search_data(self, data):
''' it's already in the right format, don't even worry about it '''
""" it's already in the right format, don't even worry about it """
return data
def parse_search_data(self, data):
''' it's already in the right format, don't even worry about it '''
""" it's already in the right format, don't even worry about it """
return data
def expand_book_data(self, book):
@ -110,44 +107,47 @@ class Connector(AbstractConnector):
def search_identifiers(query):
''' 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]
""" 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.
return results.filter(parent_work__default_edition__id=F('id')) \
or results
return results.filter(parent_work__default_edition__id=F("id")) or results
def search_title_author(query, min_confidence):
''' searches for title and author '''
vector = SearchVector('title', weight='A') +\
SearchVector('subtitle', weight='B') +\
SearchVector('authors__name', weight='C') +\
SearchVector('series', weight='D')
""" 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')
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
editions_of_work = results.values(
'parent_work'
).annotate(
Count('parent_work')
).values_list('parent_work')
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)
default = editions.filter(parent_work__default_edition=F('id'))
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: