forked from mirrors/bookwyrm
211 lines
6.8 KiB
Python
211 lines
6.8 KiB
Python
""" track progress of goodreads imports """
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import re
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import dateutil.parser
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from django.db import models
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from django.utils import timezone
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from bookwyrm.connectors import connector_manager
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from bookwyrm.models import ReadThrough, User, Book, Edition
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from .fields import PrivacyLevels
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def unquote_string(text):
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"""resolve csv quote weirdness"""
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if not text:
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return None
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match = re.match(r'="([^"]*)"', text)
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if match:
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return match.group(1)
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return text
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def construct_search_term(title, author):
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"""formulate a query for the data connector"""
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# Strip brackets (usually series title from search term)
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title = re.sub(r"\s*\([^)]*\)\s*", "", title)
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# Open library doesn't like including author initials in search term.
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author = re.sub(r"(\w\.)+\s*", "", author)
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return " ".join([title, author])
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class ImportJob(models.Model):
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"""entry for a specific request for book data import"""
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user = models.ForeignKey(User, on_delete=models.CASCADE)
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created_date = models.DateTimeField(default=timezone.now)
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task_id = models.CharField(max_length=100, null=True) # TODO: deprecated
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include_reviews = models.BooleanField(default=True)
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mappings = models.JSONField()
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complete = models.BooleanField(default=False)
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source = models.CharField(max_length=100)
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privacy = models.CharField(
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max_length=255, default="public", choices=PrivacyLevels.choices
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)
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retry = models.BooleanField(default=False)
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class ImportItem(models.Model):
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"""a single line of a csv being imported"""
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job = models.ForeignKey(ImportJob, on_delete=models.CASCADE, related_name="items")
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index = models.IntegerField()
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data = models.JSONField()
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normalized_data = models.JSONField()
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book = models.ForeignKey(Book, on_delete=models.SET_NULL, null=True, blank=True)
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book_guess = models.ForeignKey(
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Book,
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on_delete=models.SET_NULL,
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null=True,
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blank=True,
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related_name="book_guess",
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)
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fail_reason = models.TextField(null=True)
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linked_review = models.ForeignKey(
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"Review", on_delete=models.SET_NULL, null=True, blank=True
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)
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def resolve(self):
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"""try various ways to lookup a book"""
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# we might be calling this after manually adding the book,
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# so no need to do searches
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if self.book:
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return
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if self.isbn:
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self.book = self.get_book_from_isbn()
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else:
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# don't fall back on title/author search if isbn is present.
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# you're too likely to mismatch
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book, confidence = self.get_book_from_title_author()
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if confidence > 0.999:
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self.book = book
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else:
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self.book_guess = book
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def get_book_from_isbn(self):
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"""search by isbn"""
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search_result = connector_manager.first_search_result(
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self.isbn, min_confidence=0.999
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)
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if search_result:
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# it's already in the right format
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if isinstance(search_result, Edition):
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return search_result
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# it's just a search result, book needs to be created
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# raises ConnectorException
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return search_result.connector.get_or_create_book(search_result.key)
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return None
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def get_book_from_title_author(self):
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"""search by title and author"""
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search_term = construct_search_term(self.title, self.author)
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search_result = connector_manager.first_search_result(
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search_term, min_confidence=0.1
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)
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if search_result:
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if isinstance(search_result, Edition):
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return (search_result, 1)
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# raises ConnectorException
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return (
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search_result.connector.get_or_create_book(search_result.key),
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search_result.confidence,
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)
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return None, 0
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@property
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def title(self):
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"""get the book title"""
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return self.normalized_data["title"]
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@property
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def author(self):
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"""get the book's authors"""
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return self.normalized_data["authors"]
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@property
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def isbn(self):
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"""pulls out the isbn13 field from the csv line data"""
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return unquote_string(self.normalized_data["isbn_13"]) or unquote_string(
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self.normalized_data["isbn_10"]
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)
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@property
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def shelf(self):
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"""the goodreads shelf field"""
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return self.normalized_data.get("shelf")
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@property
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def review(self):
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"""a user-written review, to be imported with the book data"""
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return self.normalized_data["review_body"]
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@property
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def rating(self):
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"""x/5 star rating for a book"""
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if self.normalized_data.get("rating"):
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return float(self.normalized_data["rating"])
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return None
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@property
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def date_added(self):
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"""when the book was added to this dataset"""
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if self.normalized_data.get("date_added"):
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return timezone.make_aware(
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dateutil.parser.parse(self.normalized_data["date_added"])
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)
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return None
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@property
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def date_started(self):
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"""when the book was started"""
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if self.normalized_data.get("date_started"):
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return timezone.make_aware(
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dateutil.parser.parse(self.normalized_data["date_started"])
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)
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return None
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@property
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def date_read(self):
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"""the date a book was completed"""
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if self.normalized_data.get("date_finished"):
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return timezone.make_aware(
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dateutil.parser.parse(self.normalized_data["date_finished"])
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)
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return None
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@property
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def reads(self):
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"""formats a read through dataset for the book in this line"""
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start_date = self.date_started
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# Goodreads special case (no 'date started' field)
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if (
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(self.shelf == "reading" or (self.shelf == "read" and self.date_read))
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and self.date_added
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and not start_date
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):
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start_date = self.date_added
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if start_date and start_date is not None and not self.date_read:
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return [ReadThrough(start_date=start_date)]
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if self.date_read:
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start_date = start_date if start_date < self.date_read else None
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return [
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ReadThrough(
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start_date=start_date,
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finish_date=self.date_read,
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)
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]
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return []
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def __repr__(self):
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# pylint: disable=consider-using-f-string
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return "<{!r} Item {!r}>".format(self.index, self.normalized_data["title"])
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def __str__(self):
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# pylint: disable=consider-using-f-string
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return "{} by {}".format(
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self.normalized_data["title"], self.normalized_data["authors"]
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)
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