145 lines
5.1 KiB
Python
145 lines
5.1 KiB
Python
from datetime import datetime
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from typing import Any
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from django.core.validators import MaxValueValidator, MinValueValidator
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from django.db import models
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from django.db.models import Avg, Count, Q
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from django.utils.translation import gettext_lazy as _
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from catalog.models import Item
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from takahe.utils import Takahe
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from users.models import APIdentity
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from .common import Content
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MIN_RATING_COUNT = 5
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RATING_INCLUDES_CHILD_ITEMS = ["tvshow", "performance"]
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class Rating(Content):
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class Meta:
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unique_together = [["owner", "item"]]
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grade = models.PositiveSmallIntegerField(
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default=0, validators=[MaxValueValidator(10), MinValueValidator(1)], null=True
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)
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@property
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def ap_object(self):
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return {
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"id": self.absolute_url,
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"type": "Rating",
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"best": 10,
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"worst": 1,
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"value": self.grade,
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"published": self.created_time.isoformat(),
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"updated": self.edited_time.isoformat(),
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"attributedTo": self.owner.actor_uri,
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"withRegardTo": self.item.absolute_url,
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"href": self.absolute_url,
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}
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@classmethod
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def update_by_ap_object(cls, owner, item, obj, post):
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p = cls.objects.filter(owner=owner, item=item).first()
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if p and p.edited_time >= datetime.fromisoformat(obj["updated"]):
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return p # incoming ap object is older than what we have, no update needed
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value = obj.get("value", 0) if obj else 0
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if not value:
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cls.objects.filter(owner=owner, item=item).delete()
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return
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best = obj.get("best", 5)
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worst = obj.get("worst", 1)
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if best <= worst:
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return
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if value < worst:
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value = worst
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if value > best:
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value = best
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if best != 10 or worst != 1:
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value = round(9 * (value - worst) / (best - worst)) + 1
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else:
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value = round(value)
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d = {
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"grade": value,
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"local": False,
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"remote_id": obj["id"],
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"visibility": Takahe.visibility_t2n(post.visibility),
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"created_time": datetime.fromisoformat(obj["published"]),
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"edited_time": datetime.fromisoformat(obj["updated"]),
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}
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p = cls.objects.update_or_create(owner=owner, item=item, defaults=d)[0]
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p.link_post_id(post.id)
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return p
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@staticmethod
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def get_rating_for_item(item: Item) -> float | None:
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stat = Rating.objects.filter(grade__isnull=False)
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if item.class_name in RATING_INCLUDES_CHILD_ITEMS:
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stat = stat.filter(item_id__in=item.child_item_ids + [item.pk])
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else:
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stat = stat.filter(item=item)
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stat = stat.aggregate(average=Avg("grade"), count=Count("item"))
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return round(stat["average"], 1) if stat["count"] >= MIN_RATING_COUNT else None
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@staticmethod
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def get_rating_count_for_item(item: Item) -> int:
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stat = Rating.objects.filter(grade__isnull=False)
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if item.class_name in RATING_INCLUDES_CHILD_ITEMS:
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stat = stat.filter(item_id__in=item.child_item_ids + [item.pk])
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else:
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stat = stat.filter(item=item)
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stat = stat.aggregate(count=Count("item"))
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return stat["count"]
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@staticmethod
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def get_rating_distribution_for_item(item: Item):
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stat = Rating.objects.filter(grade__isnull=False)
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if item.class_name in RATING_INCLUDES_CHILD_ITEMS:
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stat = stat.filter(item_id__in=item.child_item_ids + [item.pk])
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else:
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stat = stat.filter(item=item)
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stat = stat.values("grade").annotate(count=Count("grade")).order_by("grade")
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g = [0] * 11
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t = 0
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for s in stat:
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g[s["grade"]] = s["count"]
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t += s["count"]
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if t < MIN_RATING_COUNT:
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return [0] * 5
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r = [
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100 * (g[1] + g[2]) // t,
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100 * (g[3] + g[4]) // t,
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100 * (g[5] + g[6]) // t,
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100 * (g[7] + g[8]) // t,
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100 * (g[9] + g[10]) // t,
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]
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return r
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@staticmethod
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def update_item_rating(
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item: Item,
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owner: APIdentity,
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rating_grade: int | None,
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visibility: int = 0,
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created_time: datetime | None = None,
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):
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if rating_grade and (rating_grade < 1 or rating_grade > 10):
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raise ValueError(f"Invalid rating grade: {rating_grade}")
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if not rating_grade:
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Rating.objects.filter(owner=owner, item=item).delete()
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else:
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d: dict[str, Any] = {"grade": rating_grade, "visibility": visibility}
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if created_time:
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d["created_time"] = created_time
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r, _ = Rating.objects.update_or_create(owner=owner, item=item, defaults=d)
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return r
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@staticmethod
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def get_item_rating(item: Item, owner: APIdentity) -> int | None:
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rating = Rating.objects.filter(owner=owner, item=item).first()
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return (rating.grade or None) if rating else None
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def to_indexable_doc(self) -> dict[str, Any]:
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# rating is not indexed individually but with shelfmember
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return {}
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