2023-10-24 12:53:29 +00:00
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from __future__ import annotations
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2023-12-19 21:11:46 +00:00
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2023-03-28 08:45:41 +00:00
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import random
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2024-01-15 11:48:36 +00:00
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from collections import defaultdict
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2023-12-20 10:02:38 +00:00
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from functools import lru_cache
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2024-01-15 09:50:24 +00:00
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from typing import Optional, Dict, Tuple, List, Type, Generic, Any, TypeVar, Set
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2022-12-01 12:15:30 +00:00
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2024-04-18 12:37:20 +00:00
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from pathlib import Path
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import inspect
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2023-03-10 08:09:35 +00:00
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from .metadata import Metadata
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2024-04-29 11:43:34 +00:00
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from ..utils import get_unix_time, object_trace, generate_id
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2024-04-10 09:20:49 +00:00
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from ..utils.config import logging_settings, main_settings
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2024-05-03 12:52:12 +00:00
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from ..utils.shared import HIGHEST_ID, DEBUG_PRINT_ID
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2024-04-09 12:18:34 +00:00
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from ..utils.hacking import MetaClass
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2023-09-10 14:27:09 +00:00
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LOGGER = logging_settings["object_logger"]
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2022-12-01 12:15:30 +00:00
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2023-12-19 21:11:46 +00:00
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P = TypeVar("P", bound="OuterProxy")
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2023-09-14 21:35:37 +00:00
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2023-12-19 12:58:39 +00:00
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class InnerData:
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"""
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This is the core class, which is used for every Data class.
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The attributes are set, and can be merged.
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The concept is, that the outer class proxies this class.
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If the data in the wrapper class has to be merged, then this class is just replaced and garbage collected.
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"""
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2024-04-15 11:56:40 +00:00
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_refers_to_instances: set = None
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_is_in_collection: set = None
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_has_data: bool = False
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"""
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Attribute versions keep track, of if the attribute has been changed.
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"""
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2024-04-12 15:11:17 +00:00
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2024-04-10 14:55:02 +00:00
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def __init__(self, object_type, **kwargs):
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self._refers_to_instances = set()
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self._is_in_collection = set()
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self._fetched_from: dict = {}
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2024-04-10 14:55:02 +00:00
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# initialize the default values
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self._default_values = {}
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for name, factory in object_type._default_factories.items():
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self._default_values[name] = factory()
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for key, value in kwargs.items():
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if hasattr(value, "__is_collection__"):
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value._collection_for[self] = key
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self.__setattr__(key, value)
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if self._has_data:
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continue
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def __setattr__(self, key: str, value):
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if self._has_data or not hasattr(self, "_default_values"):
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return super().__setattr__(key, value)
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super().__setattr__("_has_data", not (key in self._default_values and self._default_values[key] == value))
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return super().__setattr__(key, value)
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def __hash__(self):
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return self.id
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def __merge__(self, __other: InnerData, **kwargs):
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"""
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:param __other:
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:return:
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"""
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self._fetched_from.update(__other._fetched_from)
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self._is_in_collection.update(__other._is_in_collection)
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for key, value in __other.__dict__.copy().items():
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if key.startswith("_"):
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continue
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if hasattr(value, "__is_collection__") and key in self.__dict__:
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self.__getattribute__(key).__merge__(value, **kwargs)
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continue
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# just set the other value if self doesn't already have it
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if key not in self.__dict__ or (key in self.__dict__ and self.__dict__[key] == self._default_values.get(key)):
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self.__setattr__(key, value)
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continue
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# if the object of value implemented __merge__, it merges
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existing = self.__getattribute__(key)
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if hasattr(existing, "__merge__"):
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existing.__merge__(value, **kwargs)
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2023-12-20 08:55:09 +00:00
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class OuterProxy:
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"""
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Wraps the inner data, and provides apis, to naturally access those values.
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"""
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_default_factories: dict = {}
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_outer_attribute: Set[str] = {"options", "metadata", "indexing_values", "option_string"}
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2024-01-15 09:56:59 +00:00
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DOWNWARDS_COLLECTION_STRING_ATTRIBUTES = tuple()
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UPWARDS_COLLECTION_STRING_ATTRIBUTES = tuple()
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def __init__(self, _id: int = None, dynamic: bool = False, **kwargs):
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_automatic_id: bool = False
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if _id is None:
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"""
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generates a random integer id
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the range is defined in the config
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"""
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_id = generate_id()
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_automatic_id = True
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kwargs["automatic_id"] = _automatic_id
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kwargs["id"] = _id
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kwargs["dynamic"] = dynamic
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for name, factory in type(self)._default_factories.items():
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if kwargs.get(name, None) is None:
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kwargs[name] = factory()
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collection_data: Dict[str, list] = {}
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for name, value in kwargs.copy().items():
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if isinstance(value, list) and name.endswith("_list"):
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collection_name = name.replace("_list", "_collection")
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collection_data[collection_name] = value
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del kwargs[name]
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self._inner: InnerData = InnerData(type(self), **kwargs)
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self._inner._refers_to_instances.add(self)
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2024-05-03 12:52:12 +00:00
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object_trace(f"creating {type(self).__name__} [{self.option_string}]")
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self.__init_collections__()
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for name, data_list in collection_data.items():
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collection = self._inner.__getattribute__(name)
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collection.extend(data_list)
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self._inner.__setattr__(name, collection)
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def __init_collections__(self):
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pass
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def __getattribute__(self, __name: str) -> Any:
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"""
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Returns the attribute of _inner if the attribute exists,
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else it returns the attribute of self.
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That the _inner gets checked first is essential for the type hints.
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:param __name:
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:return:
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"""
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if __name.startswith("_") or __name in self._outer_attribute or __name.isupper():
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return object.__getattribute__(self, __name)
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_inner: InnerData = super().__getattribute__("_inner")
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try:
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return _inner.__getattribute__(__name)
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except AttributeError:
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return super().__getattribute__(__name)
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def __setattr__(self, __name, __value):
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if not __name.startswith("_") and hasattr(self, "_inner"):
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_inner: InnerData = super().__getattribute__("_inner")
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return _inner.__setattr__(__name, __value)
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return super().__setattr__(__name, __value)
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2024-01-15 11:48:36 +00:00
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def _add_other_db_objects(self, object_type: Type[OuterProxy], object_list: List[OuterProxy]):
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pass
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def add_list_of_other_objects(self, object_list: List[OuterProxy]):
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d: Dict[Type[OuterProxy], List[OuterProxy]] = defaultdict(list)
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for db_object in object_list:
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d[type(db_object)].append(db_object)
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for key, value in d.items():
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self._add_other_db_objects(key, value)
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def __hash__(self):
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return id(self)
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def __eq__(self, other: Any):
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return self.__hash__() == other.__hash__()
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def merge(self, __other: Optional[OuterProxy], **kwargs):
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"""
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1. merges the data of __other in self
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2. replaces the data of __other with the data of self
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:param __other:
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:return:
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"""
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if __other is None:
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return
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2024-04-16 11:23:20 +00:00
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a = self
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b = __other
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if a.id == b.id:
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return
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# switch instances if more efficient
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if len(b._inner._refers_to_instances) > len(a._inner._refers_to_instances):
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a, b = b, a
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object_trace(f"merging {a.option_string} | {b.option_string}")
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old_inner = b._inner
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for instance in b._inner._refers_to_instances.copy():
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instance._inner = a._inner
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a._inner._refers_to_instances.add(instance)
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a._inner.__merge__(old_inner, **kwargs)
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del old_inner
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def __merge__(self, __other: Optional[OuterProxy], **kwargs):
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self.merge(__other, **kwargs)
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2024-04-10 09:20:49 +00:00
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def mark_as_fetched(self, *url_hash_list: List[str]):
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for url_hash in url_hash_list:
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self._inner._fetched_from[url_hash] = {
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"time": get_unix_time(),
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"url": url_hash,
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}
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def already_fetched_from(self, url_hash: str) -> bool:
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res = self._inner._fetched_from.get(url_hash, None)
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if res is None:
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return False
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return get_unix_time() - res["time"] < main_settings["refresh_after"]
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2023-03-09 17:19:49 +00:00
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@property
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def metadata(self) -> Metadata:
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"""
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This is an interface.
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:return:
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2023-03-09 17:19:49 +00:00
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"""
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return Metadata()
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@property
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def options(self) -> List[P]:
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r = []
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for collection_string_attribute in self.UPWARDS_COLLECTION_STRING_ATTRIBUTES:
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r.extend(self.__getattribute__(collection_string_attribute))
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r.append(self)
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for collection_string_attribute in self.DOWNWARDS_COLLECTION_STRING_ATTRIBUTES:
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r.extend(self.__getattribute__(collection_string_attribute))
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return r
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@property
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def option_string(self) -> str:
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return self.title_string
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INDEX_DEPENDS_ON: List[str] = []
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2023-03-10 09:54:15 +00:00
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@property
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def indexing_values(self) -> List[Tuple[str, object]]:
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"""
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2023-12-19 21:11:46 +00:00
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This is an interface.
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It is supposed to return a map of the name and values for all important attributes.
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This helps in comparing classes for equal data (e.g. being the same song but different attributes)
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2023-12-19 12:58:39 +00:00
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2023-12-19 21:11:46 +00:00
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TODO
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Rewrite this approach into a approach, that is centered around statistics, and not binaries.
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Instead of: one of this matches, it is the same
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This: If enough attributes are similar enough, they are the same
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2023-03-18 11:36:53 +00:00
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Returns:
|
|
|
|
List[Tuple[str, object]]: the first element in the tuple is the name of the attribute, the second the value.
|
|
|
|
"""
|
2022-12-01 12:15:30 +00:00
|
|
|
|
2023-12-19 21:11:46 +00:00
|
|
|
return []
|
2023-12-20 10:02:38 +00:00
|
|
|
|
|
|
|
@property
|
|
|
|
@lru_cache()
|
|
|
|
def all_collections(self):
|
|
|
|
r = []
|
|
|
|
|
|
|
|
for key in self._default_factories:
|
|
|
|
val = self._inner.__getattribute__(key)
|
|
|
|
if hasattr(val, "__is_collection__"):
|
|
|
|
r.append(val)
|
|
|
|
|
|
|
|
return r
|
|
|
|
|
2024-05-13 12:22:33 +00:00
|
|
|
@property
|
|
|
|
def root_collections(self) -> List[Collection]:
|
|
|
|
if len(self.UPWARDS_COLLECTION_STRING_ATTRIBUTES) == 0:
|
|
|
|
return [self]
|
|
|
|
|
|
|
|
r = []
|
|
|
|
for collection_string_attribute in self.UPWARDS_COLLECTION_STRING_ATTRIBUTES:
|
|
|
|
r.extend(self.__getattribute__(collection_string_attribute))
|
|
|
|
|
|
|
|
return r
|
|
|
|
|
|
|
|
def _compile(self, **kwargs):
|
|
|
|
pass
|
|
|
|
|
|
|
|
def compile(self, from_root=False, **kwargs):
|
|
|
|
# compile from the root
|
|
|
|
if not from_root:
|
|
|
|
for c in self.root_collections:
|
|
|
|
c.compile(from_root=True, **kwargs)
|
|
|
|
return
|
|
|
|
|
|
|
|
self._compile(**kwargs)
|
|
|
|
|
|
|
|
for c_attribute in self.DOWNWARDS_COLLECTION_STRING_ATTRIBUTES:
|
|
|
|
for c in self.__getattribute__(c_attribute):
|
|
|
|
c.compile(from_root=True, **kwargs)
|
|
|
|
|
2024-04-29 11:43:34 +00:00
|
|
|
TITEL = "id"
|
2024-04-10 08:25:05 +00:00
|
|
|
@property
|
|
|
|
def title_string(self) -> str:
|
2024-05-03 12:52:12 +00:00
|
|
|
return str(self.__getattribute__(self.TITEL)) + (f" {self.id}" if DEBUG_PRINT_ID else "")
|
2024-04-25 21:20:07 +00:00
|
|
|
|
|
|
|
def __repr__(self):
|
|
|
|
return f"{type(self).__name__}({self.title_string})"
|