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514 lines
16 KiB
Python
514 lines
16 KiB
Python
from __future__ import annotations
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import dataclasses
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from dataclasses import dataclass
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from datetime import datetime
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import math
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import logging
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from typing import Callable, Dict, Iterable, List, Optional, Set, Tuple, TypeVar, Union
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from pony import orm
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db = orm.Database()
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####
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## Model Extensions
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####
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@dataclass
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class TagRootElement:
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base: Tagable
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children: List[TagTreeElement] = dataclasses.field(default_factory=lambda: [])
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def share_score(self, points: float) -> PreferenceScoreAppender:
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if len(self.children) <= 0:
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return PreferenceScoreAppender()
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single_share = points / len(self.children)
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shares = (child.share_score(single_share) for child in self.children)
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return PreferenceScoreAppender(shares)
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@dataclass
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class TagTreeElement:
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base: Tag
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children: List[TagTreeElement] = dataclasses.field(default_factory=lambda: [])
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def share_score(self, points: float) -> PreferenceScoreAppender:
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if len(self.children) <= 0:
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return PreferenceScoreAppender(PreferenceScore({self.base: points}))
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children_fraction = len(self.children)
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base_fraction = children_fraction + 1
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single_share = points / (base_fraction + children_fraction)
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base_share = PreferenceScore({self.base: single_share * base_fraction})
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shares = (child.share_score(single_share) for child in self.children)
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return base_share & shares
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TagElement = Union[TagRootElement, TagTreeElement]
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class Tagable:
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## abstracted
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@property
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def assigned_tags(self) -> Set[Tag]:
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"""
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Tags which are directly assigned to this object by the user or automatic actions.
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"""
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return NotImplementedError("")
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@property
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def inherited_tags(self) -> Set[Tag]:
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"""
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Tags, which are inherited by any other means than super/sub-tag relationships.
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This relationship does not declare a distance between this tags and assigned tags.
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"""
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return set()
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@property
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def super_tags(self) -> Set[Tag]:
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"""
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Tags, which are inherited only by super/sub-tag relationships.
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This relationship does declare a distance between this tags and assigned tags.
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"""
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return set()
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## implemented
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@property
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def direct_tags(self) -> Set[Tag]:
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return self.assigned_tags | self.inherited_tags
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@property
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def __tag_hierachy(self) -> Tuple[TagRootElement, Set[Tag]]:
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root = TagRootElement(
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base=self,
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children=[TagTreeElement(tag) for tag in self.direct_tags],
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)
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stack: List[TagTreeElement] = root.children[:]
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used: Set[Tag] = self.direct_tags
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while len(stack) > 0:
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cur = stack.pop(0)
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for tag in cur.base.super_tags:
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if tag not in used:
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elem = TagTreeElement(tag)
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cur.children.append(tag)
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stack.append(elem)
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used.add(tag)
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return root, used
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@property
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def tag_hierachy(self) -> TagRootElement:
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return self.__tag_hierachy[0]
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@property
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def all_tags(self) -> Set[Tag]:
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return self.__tag_hierachy[1]
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T = TypeVar("T", bound=Tagable)
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@dataclass
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class PreferenceScore:
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points: Dict[Tag, float] = dataclasses.field(default_factory=lambda: {})
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def __add__(self, other: PreferenceScoreCompatible) -> PreferenceScore:
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return (self & other).calculate()
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def __and__(self, other: PreferenceScoreCompatible) -> PreferenceScoreAppender:
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return PreferenceScoreAppender(self, other)
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def __mul__(self, scalar: float) -> PreferenceScore:
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return PreferenceScore({tag: score * scalar for tag, score in self.points.items()})
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def __neg__(self) -> PreferenceScore:
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return self * -1
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def adapt_score(self, tagable: Tagable, score: float) -> PreferenceScore:
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return (self & tagable.tag_hierachy.share_score(score)).calculate()
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def calculate_score(self, object: Tagable) -> float:
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return math.fsum(self.points[tag] for tag in object.all_tags if tag in self.points)
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def order_by_score(self, objects: Iterable[T]) -> List[T]:
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return sorted(objects, key=lambda o: self.calculate_score(o))
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class PreferenceScoreAppender:
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points_list: List[PreferenceScore]
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def __init__(self, *args: PreferenceScoreCompatible):
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self.points_list = []
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for preference in args:
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self.__append(preference)
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def __append(self, preference: PreferenceScoreCompatible):
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if isinstance(preference, PreferenceScore):
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self.points_list.append(preference)
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elif isinstance(preference, PreferenceScoreAppender):
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self.points_list.extend(preference.points_list)
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else:
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for sub_pref in preference:
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self.__append(sub_pref)
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def __and__(self, other: PreferenceScoreCompatible) -> PreferenceScoreAppender:
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return PreferenceScoreAppender(self, other)
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def calculate(self) -> PreferenceScore:
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combined: Dict[Tag, List[float]] = {}
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for preference in self.points_list:
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for tag, score in preference.points.items():
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if tag not in combined:
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combined[tag] = []
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combined[tag].append(score)
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return PreferenceScore({tag: math.fsum(scores) for tag, scores in combined.items()})
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PreferenceScoreCompatibleSimple = Union[PreferenceScore, PreferenceScoreAppender]
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PreferenceScoreCompatible = Union[PreferenceScoreCompatibleSimple, Iterable[PreferenceScoreCompatibleSimple]]
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def generate_preference_list(
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base: PreferenceScore,
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object_gen: Callable[[], List[MediaElement]],
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score_adapt: float,
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limit: Optional[int] = None
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) -> List[MediaElement]:
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res_ids = list[int]()
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tag_map = dict[MediaCollection, Tag]()
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element_list = object_gen()
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for element in element_list:
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for link in element.collection_links:
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if link.collection not in tag_map:
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tag = Tag(title="Automatic")
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tag.use_for_preferences = True
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link.collection.tag_list.add(tag)
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tag_map[link.collection] = tag
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orm.flush()
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while True:
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if len(element_list) <= 0:
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break
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first_element = base.order_by_score(element_list)[0]
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res_ids.append(first_element.id)
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if limit is not None and limit <= len(res_ids):
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break
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first_element.watched = True # simulative
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base = base.adapt_score(first_element, score_adapt)
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element_list = object_gen()
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orm.rollback()
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return [MediaElement[i] for i in res_ids]
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@dataclass
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class CollectionStats:
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to_watch_count: int
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ignored_count: int # but not watched
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watched_count: int
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to_watch_seconds: int
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ignored_seconds: int # but not watched
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watched_seconds: int
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@property
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def full_count(self) -> int:
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return self.to_watch_count + self.ignored_count + self.watched_count
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@property
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def full_seconds(self) -> int:
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return self.to_watch_seconds + self.ignored_seconds + self.watched_seconds
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@classmethod
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def from_collection(cls, collection: MediaCollection) -> CollectionStats:
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to_watch_count = 0
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ignored_count = 0
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watched_count = 0
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to_watch_seconds = 0
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ignored_seconds = 0
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watched_seconds = 0
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for link in collection.media_links:
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media = link.element
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if media.watched:
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watched_count += 1
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watched_seconds += media.length
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else:
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watched_seconds += media.progress
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if media.ignored:
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ignored_count += 1
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ignored_seconds += media.left_length
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else:
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to_watch_count += 1
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to_watch_seconds += media.left_length
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return CollectionStats(
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to_watch_count=to_watch_count,
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ignored_count=ignored_count,
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watched_count=watched_count,
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to_watch_seconds=to_watch_seconds,
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ignored_seconds=ignored_seconds,
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watched_seconds=watched_seconds,
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)
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####
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## Models
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####
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## Tag & Selection Score's
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class Tag(db.Entity, Tagable):
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id: int = orm.PrimaryKey(int, auto=True)
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title: str = orm.Required(str)
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notes: str = orm.Optional(str)
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use_for_preferences: bool = orm.Required(bool, default=True)
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super_tag_list: Iterable[Tag] = orm.Set(lambda: Tag, reverse="sub_tag_list")
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sub_tag_list: Iterable[Tag] = orm.Set(lambda: Tag, reverse="super_tag_list")
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_collection_list: Iterable[MediaCollection] = orm.Set(lambda: MediaCollection)
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_media_list: Iterable[MediaElement] = orm.Set(lambda: MediaElement)
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@property
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def assigned_tags(self) -> Set[Tag]:
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return {self}
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## Element <-> Collection Linking
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class MediaCollectionLink(db.Entity):
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collection: MediaCollection = orm.Required(lambda: MediaCollection)
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element: MediaElement = orm.Required(lambda: MediaElement)
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orm.PrimaryKey(collection, element)
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season: int = orm.Required(int, default=0)
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episode: int = orm.Required(int, default=0)
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orm.composite_index(season, episode)
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@property
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def element_id(self):
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return self.element.id
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@property
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def element_release_date(self):
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return self.element.release_date
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@staticmethod
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def sorted(iterable: Iterable[MediaCollectionLink]) -> List[MediaCollectionLink]:
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return sorted(iterable, key=lambda m: (m.season, m.episode, m.element_release_date, m.element_id))
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natural_order = (season, episode, element_release_date, element_id) # unusuable due to ponyorm, see https://github.com/ponyorm/pony/issues/612
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## Media Elements
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class MediaElement(db.Entity, Tagable):
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id: int = orm.PrimaryKey(int, auto=True)
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uri: str = orm.Required(str, unique=True)
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title: str = orm.Optional(str)
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notes: str = orm.Optional(str)
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release_date: datetime = orm.Optional(datetime)
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extractor_name: str = orm.Optional(str)
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extractor_key: str = orm.Optional(str)
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orm.composite_index(extractor_name, extractor_key)
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last_updated: datetime = orm.Optional(datetime)
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watched: bool = orm.Required(bool, default=False)
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ignored: bool = orm.Required(bool, default=False)
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progress: int = orm.Required(int, default=0)
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length: int = orm.Optional(int)
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tag_list : Iterable[Tag] = orm.Set(lambda: Tag)
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uris: Iterable[MediaUriMapping] = orm.Set(lambda: MediaUriMapping)
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collection_links: Iterable[MediaCollectionLink] = orm.Set(lambda: MediaCollectionLink)
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@property
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def was_extracted(self) -> bool:
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return self.last_updated is not None
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@property
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def left_length(self) -> int:
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return self.length - self.progress
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@property
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def ignored_recursive(self) -> bool:
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links = orm.select(link for link in MediaCollectionLink if link.episode == self and link.collection.ignored == True)
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return len(links) > 0
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@property
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def ignored_any(self) -> bool:
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return self.ignored or self.ignored_recursive
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@property
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def skip_over(self) -> bool:
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return self.ignored or self.watched
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@property
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def can_considered(self) -> bool:
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if self.skip_over:
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return False
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for link in self.collection_links:
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if link.collection.watch_in_order and self != link.collection.next_episode.element:
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return False
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return True
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@property
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def assigned_tags(self) -> Set[Tag]:
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return set(self.tag_list)
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@property
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def inherited_tags(self) -> Set[Tag]:
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result = set()
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for link in self.collection_links:
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result |= link.collection.direct_tags
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return result
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def merge_to(self, other: MediaElement):
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if self.watched:
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other.watched = True
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if self.ignored:
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other.ignored = True
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if self.progress >= 0 and other.progress <= 0:
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other.progress = self.progress
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for uri_map in self.uris:
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uri_map.element = other
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for link in self.collection_links:
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if not MediaCollectionLink.get(collection=link.collection, element=other):
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link.element = other
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self.delete() # will also delete still existing uri mappings and collection links
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orm.flush()
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def add_uris(self, uri_list: Iterable[str]):
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for uri in set(uri_list):
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mapping: MediaUriMapping = MediaUriMapping.get(uri=uri)
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if not mapping:
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logging.debug(f"Add URI mapping {uri!r} to media {self.id!r}")
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MediaUriMapping(
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uri=uri,
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element=self,
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)
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continue
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if mapping.element != self:
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raise Exception(f"URI duplicated for two different media's: {uri}") # TODO may replace with merge call
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orm.flush()
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def before_insert(self):
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self.before_update()
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def before_update(self):
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self.add_uris((self.uri,))
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@property
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def info_link(self):
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return f"/media/{self.id}"
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class MediaUriMapping(db.Entity):
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id: int = orm.PrimaryKey(int, auto=True)
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uri: str = orm.Required(str, unique=True)
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element: MediaElement = orm.Required(MediaElement)
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## Media Collections
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class MediaCollection(db.Entity, Tagable):
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id: int = orm.PrimaryKey(int, auto=True)
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uri: str = orm.Required(str, unique=True)
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title: str = orm.Optional(str)
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notes: str = orm.Optional(str)
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release_date: datetime = orm.Optional(datetime)
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extractor_name: str = orm.Optional(str)
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extractor_key: str = orm.Optional(str)
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orm.composite_index(extractor_name, extractor_key)
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last_updated: datetime = orm.Optional(datetime)
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keep_updated: bool = orm.Required(bool, default=False)
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watch_in_order_auto: bool = orm.Required(bool, default=True)
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ignored: bool = orm.Required(bool, default=False)
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watch_in_order: bool = orm.Required(bool, default=True)
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tag_list: Iterable[Tag] = orm.Set(lambda: Tag)
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uris: Iterable[CollectionUriMapping] = orm.Set(lambda: CollectionUriMapping)
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media_links: Iterable[MediaCollectionLink] = orm.Set(MediaCollectionLink)
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@property
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def was_extracted(self) -> bool:
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return self.last_updated is not None
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@property
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def next_episode(self) -> Optional[MediaCollectionLink]:
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#return orm \
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# .select(link for link in self.media_links if not link.element.watched) \
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# .order_by(*MediaCollectionLink.natural_order) \
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# .first()
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episodes = MediaCollectionLink.sorted(orm.select(link for link in self.media_links if not link.element.watched and not link.element.ignored))
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return episodes[0] if len(episodes) > 0 else None
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@property
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def completed(self) -> bool:
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return self.next_episode is None
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@property
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def assigned_tags(self) -> Set[Tag]:
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return set(self.tag_list)
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@property
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def stats(self) -> CollectionStats:
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return CollectionStats.from_collection(self)
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def add_episode(self, media: MediaElement, season: int = 0, episode: int = 0) -> MediaCollectionLink:
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link: MediaCollectionLink = MediaCollectionLink.get(collection=self, element=media)
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if link is None:
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link = MediaCollectionLink(collection=self, element=media)
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link.season, link.episode = season, episode
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orm.flush()
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return link
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def add_uris(self, uri_list: Iterable[str]):
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for uri in set(uri_list):
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mapping: CollectionUriMapping = CollectionUriMapping.get(uri=uri)
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if not mapping:
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logging.debug(f"Add URI mapping {uri!r} to collection {self.id!r}")
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CollectionUriMapping(
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uri=uri,
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element=self,
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)
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continue
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if mapping.element != self:
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raise Exception(f"URI duplicated for two different collections's: {uri}") # TODO may replace with merge call
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orm.flush()
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def before_insert(self):
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self.before_update()
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def before_update(self):
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self.add_uris((self.uri,))
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@property
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def info_link(self):
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return f"/collection/{self.id}"
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class CollectionUriMapping(db.Entity):
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id: int = orm.PrimaryKey(int, auto=True)
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uri: str = orm.Required(str, unique=True)
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element: MediaCollection = orm.Required(MediaCollection)
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