mirror of
https://github.com/bookwyrm-social/bookwyrm.git
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73 lines
2.3 KiB
Python
73 lines
2.3 KiB
Python
""" database schema for info about authors """
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import re
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from django.contrib.postgres.indexes import GinIndex
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from django.core.cache import cache
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from django.core.cache.utils import make_template_fragment_key
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from django.db import models
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from bookwyrm import activitypub
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from bookwyrm.settings import DOMAIN
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from .book import BookDataModel
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from . import fields
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class Author(BookDataModel):
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"""basic biographic info"""
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wikipedia_link = fields.CharField(
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max_length=255, blank=True, null=True, deduplication_field=True
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)
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isni = fields.CharField(
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max_length=255, blank=True, null=True, deduplication_field=True
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)
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gutenberg_id = fields.CharField(
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max_length=255, blank=True, null=True, deduplication_field=True
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)
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# idk probably other keys would be useful here?
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born = fields.DateTimeField(blank=True, null=True)
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died = fields.DateTimeField(blank=True, null=True)
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name = fields.CharField(max_length=255)
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aliases = fields.ArrayField(
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models.CharField(max_length=255), blank=True, default=list
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)
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bio = fields.HtmlField(null=True, blank=True)
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def save(self, *args, **kwargs):
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"""clear related template caches"""
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# clear template caches
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if self.id:
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cache_keys = [
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make_template_fragment_key("titleby", [book])
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for book in self.book_set.values_list("id", flat=True)
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]
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cache.delete_many(cache_keys)
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# normalize isni format
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if self.isni:
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self.isni = re.sub(r"\s", "", self.isni)
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return super().save(*args, **kwargs)
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@property
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def isni_link(self):
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"""generate the url from the isni id"""
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clean_isni = re.sub(r"\s", "", self.isni)
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return f"https://isni.org/isni/{clean_isni}"
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@property
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def openlibrary_link(self):
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"""generate the url from the openlibrary id"""
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return f"https://openlibrary.org/authors/{self.openlibrary_key}"
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def get_remote_id(self):
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"""editions and works both use "book" instead of model_name"""
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return f"https://{DOMAIN}/author/{self.id}"
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activity_serializer = activitypub.Author
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class Meta:
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"""sets up postgres GIN index field"""
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indexes = (GinIndex(fields=["search_vector"]),)
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