mirror of
https://github.com/jxxghp/MoviePilot.git
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692 lines
26 KiB
Python
692 lines
26 KiB
Python
"""稳定分类引用、兼容路径快照和安全目录路径解析。"""
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from __future__ import annotations
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import re
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import threading
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from collections.abc import Callable, Mapping, Sequence
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from copy import deepcopy
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from dataclasses import dataclass
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from enum import Enum
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from pathlib import Path, PurePath, PurePosixPath, PureWindowsPath
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from typing import Literal, Protocol, cast
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from app.domain.classification.validation import (
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validate_classification_category_path,
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)
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from app.schemas.category import (
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ClassificationMediaType,
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ClassificationPolicy,
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ClassificationResult,
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ClassificationSelection,
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ClassificationValidationIssue,
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ClassificationValidationResult,
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)
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from app.schemas.types import MediaType
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ClassificationReferenceState = Literal[
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"resolved",
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"legacy",
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"missing",
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"policy_unavailable",
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"category_missing",
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"category_disabled",
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"media_type_mismatch",
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"invalid_path",
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]
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"""分类引用解析后的稳定状态集合。"""
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class ClassificationPolicyProvider(Protocol):
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"""分类引用解析只需要的活动策略读取端口。"""
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def active_policy(self) -> ClassificationPolicy | None:
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"""返回当前活动策略；策略不可用时返回空值。"""
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...
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_classification_resolver_lock = threading.RLock()
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_classification_resolver: ClassificationCategoryResolver | None = None
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def configure_classification_category_resolver(
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resolver: ClassificationCategoryResolver | None,
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) -> ClassificationCategoryResolver | None:
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"""装配稳定分类引用解析器，并返回旧值供组合根或测试恢复。"""
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global _classification_resolver
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with _classification_resolver_lock:
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previous = _classification_resolver
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_classification_resolver = resolver
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return previous
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def reset_classification_category_resolver(
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resolver: ClassificationCategoryResolver | None = None,
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) -> None:
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"""恢复指定分类解析器；省略参数时清除当前 lifespan 装配。"""
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global _classification_resolver
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with _classification_resolver_lock:
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_classification_resolver = resolver
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def classification_category_resolver_snapshot() -> ClassificationCategoryResolver:
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"""返回当前解析器；未装配时退化为只接受安全路径快照。"""
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with _classification_resolver_lock:
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resolver = _classification_resolver
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return resolver or ClassificationCategoryResolver(lambda: None)
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@dataclass(frozen=True, slots=True)
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class ClassificationCategoryResolution:
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"""一次分类引用解析产生的稳定 ID、路径和降级说明。"""
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category_id: str | None
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path: tuple[str, ...]
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state: ClassificationReferenceState
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policy_revision: int = 0
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message: str | None = None
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@property
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def requested(self) -> bool:
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"""返回调用方是否提供了分类 ID 或路径快照。"""
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return bool(self.category_id or self.path or self.state == "invalid_path")
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@property
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def usable(self) -> bool:
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"""返回该解析结果是否包含可安全拼装的相对目录路径。"""
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return bool(self.path)
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@property
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def stable(self) -> bool:
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"""返回分类 ID 是否已在当前策略中解析成功。"""
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return self.state == "resolved" and bool(self.category_id)
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@property
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def downgraded(self) -> bool:
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"""返回本次解析是否从稳定 ID 降级到了兼容路径语义。"""
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return self.state not in {"resolved", "legacy", "missing"}
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@dataclass(frozen=True, slots=True)
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class EffectiveClassificationSnapshot:
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"""一次已生效分类的稳定持久化快照，不依赖当前活动策略。"""
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category_id: str | None = None
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category_path: tuple[str, ...] = ()
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rule_id: str | None = None
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policy_revision: int | None = None
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source: str | None = None
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@property
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def path(self) -> str | None:
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"""返回持久化使用的 POSIX 风格相对路径快照。"""
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return "/".join(self.category_path) or None
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@property
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def selected(self) -> bool:
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"""返回快照是否声明了稳定分类或兼容路径。"""
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return bool(self.category_id or self.category_path)
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def to_selection(self) -> ClassificationSelection | None:
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"""转换为领域分类选择；空快照返回空值。"""
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if not self.selected:
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return None
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return ClassificationSelection(
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category_id=self.category_id,
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category_path=list(self.category_path),
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rule_id=self.rule_id,
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source=self.source,
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)
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def effective_classification_snapshot(
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media: object | None,
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) -> EffectiveClassificationSnapshot:
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"""从最终媒体对象投影分类事实，绝不读取描述性 metadata_category。"""
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if media is None:
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return EffectiveClassificationSnapshot()
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classification = getattr(media, "classification", None)
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selection: ClassificationSelection | None = None
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policy_revision: int | None = None
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if isinstance(classification, ClassificationResult):
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selection = classification.effective
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policy_revision = classification.policy_revision
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if selection is not None:
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path, path_error = _path_snapshot(selection.category_path)
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return EffectiveClassificationSnapshot(
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category_id=str(selection.category_id or "").strip() or None,
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category_path=() if path_error else path,
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rule_id=str(selection.rule_id or "").strip() or None,
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policy_revision=policy_revision,
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source=str(selection.source or "").strip() or None,
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)
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path_snapshot = getattr(media, "library_category", None)
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if not path_snapshot:
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path_snapshot = getattr(media, "category", None)
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path, path_error = _path_snapshot(path_snapshot)
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return EffectiveClassificationSnapshot(
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category_path=() if path_error else path,
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source="legacy" if path and not path_error else None,
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)
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def persisted_classification_snapshot(
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*,
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category_id: object = None,
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category_path: object = None,
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rule_id: object = None,
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policy_revision: object = None,
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source: object = None,
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) -> EffectiveClassificationSnapshot:
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"""从数据库标量构造安全历史快照，不使用当前策略反查旧事实。"""
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path, path_error = _path_snapshot(cast(str | Sequence[str] | None, category_path))
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revision: int | None
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try:
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revision = (
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int(policy_revision)
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if isinstance(policy_revision, (int, str))
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else None
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)
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except ValueError:
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revision = None
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return EffectiveClassificationSnapshot(
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category_id=str(category_id or "").strip() or None,
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category_path=() if path_error else path,
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rule_id=str(rule_id or "").strip() or None,
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policy_revision=revision,
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source=str(source or "").strip() or ("legacy" if path and not path_error else None),
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)
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def apply_persisted_classification_snapshot(
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media: object | None,
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snapshot: EffectiveClassificationSnapshot,
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) -> object | None:
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"""把历史分类原样冻结到媒体副本，避免当前策略覆盖已发生事实。"""
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if media is None or not snapshot.selected:
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return media
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frozen_media = deepcopy(media)
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selection = snapshot.to_selection()
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classification = getattr(frozen_media, "classification", None)
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if isinstance(classification, ClassificationResult):
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result = classification.model_copy(deep=True)
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result.effective = selection
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if snapshot.policy_revision is not None:
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result.policy_revision = snapshot.policy_revision
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else:
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result = ClassificationResult(
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effective=selection,
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policy_revision=snapshot.policy_revision or 0,
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state="complete",
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)
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setattr(frozen_media, "classification", result)
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setattr(frozen_media, "library_category", snapshot.path or "")
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return frozen_media
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def subscription_classification_override(
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*,
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category_id: str | None,
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path_snapshot: str | Sequence[str] | None,
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media_type: object,
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) -> ClassificationSelection | None:
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"""按稳定 ID 优先解析订阅人工覆盖，并兼容安全旧路径。"""
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resolution = classification_category_resolver_snapshot().resolve(
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category_id=category_id,
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path_snapshot=path_snapshot,
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media_type=media_type,
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)
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if not resolution.requested or not (resolution.category_id or resolution.path):
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return None
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return ClassificationSelection(
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category_id=resolution.category_id,
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category_path=list(resolution.path),
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source="subscription",
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)
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def normalize_classification_reference_payload(
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payload: Mapping[str, object],
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*,
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media_type: object,
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id_field: str = "media_category_id",
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path_field: str = "media_category",
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) -> dict[str, object]:
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"""规范化写入载荷中的稳定分类 ID 与兼容路径，并保留 PATCH 清空语义。"""
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normalized = dict(payload)
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has_id = id_field in normalized
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has_path = path_field in normalized
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if not has_id and not has_path:
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return normalized
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if has_id and not str(normalized.get(id_field) or "").strip():
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normalized[id_field] = None
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normalized[path_field] = None
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return normalized
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resolution = classification_category_resolver_snapshot().resolve(
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category_id=cast(str | None, normalized.get(id_field)),
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path_snapshot=cast(str | Sequence[str] | None, normalized.get(path_field)),
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media_type=media_type,
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)
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if has_id and resolution.category_id and not resolution.stable:
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raise ValueError(resolution.message or "分类 ID 无效")
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if not has_id and resolution.requested and not resolution.usable:
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raise ValueError(resolution.message or "分类引用无效")
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normalized[id_field] = resolution.category_id
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normalized[path_field] = "/".join(resolution.path) or None
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return normalized
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class ClassificationCategoryResolver:
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"""依据当前策略解析稳定分类 ID，并保留显式兼容降级。"""
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def __init__(
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self,
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provider: ClassificationPolicyProvider | Callable[[], ClassificationPolicy | None],
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) -> None:
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"""保存活动策略端口或等价的无参读取函数。"""
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self._provider = provider
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def resolve(
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self,
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*,
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category_id: str | None = None,
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path_snapshot: str | Sequence[str] | None = None,
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media_type: object = None,
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) -> ClassificationCategoryResolution:
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"""优先解析稳定 ID；失败时仅使用通过安全校验的路径快照。"""
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normalized_id = str(category_id or "").strip() or None
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snapshot, snapshot_error = _path_snapshot(path_snapshot)
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normalized_type = classification_media_type(media_type)
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if not normalized_id:
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if snapshot_error:
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return ClassificationCategoryResolution(
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category_id=None,
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path=(),
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state="invalid_path",
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message=snapshot_error,
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)
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if snapshot:
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return ClassificationCategoryResolution(
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category_id=None,
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path=snapshot,
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state="legacy",
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)
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return ClassificationCategoryResolution(
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category_id=None,
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path=(),
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state="missing",
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)
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policy = self._active_policy()
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if policy is None:
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return self._downgrade(
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category_id=normalized_id,
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snapshot=snapshot,
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snapshot_error=snapshot_error,
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state="policy_unavailable",
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message="分类策略不可用，已降级为兼容路径快照",
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)
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category = next(
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(item for item in policy.categories if item.id == normalized_id),
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None,
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)
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if category is None:
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return self._downgrade(
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category_id=normalized_id,
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snapshot=snapshot,
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snapshot_error=snapshot_error,
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state="category_missing",
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policy_revision=policy.revision,
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message=f"分类 {normalized_id} 已删除或不存在，已降级为兼容路径快照",
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)
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if not category.enabled:
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return self._downgrade(
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category_id=normalized_id,
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snapshot=snapshot,
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snapshot_error=snapshot_error,
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state="category_disabled",
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policy_revision=policy.revision,
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message=f"分类 {normalized_id} 已禁用，已降级为兼容路径快照",
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)
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if normalized_type and category.media_type != normalized_type:
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return self._downgrade(
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category_id=normalized_id,
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snapshot=snapshot,
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snapshot_error=snapshot_error,
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state="media_type_mismatch",
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policy_revision=policy.revision,
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message=(
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f"分类 {normalized_id} 属于 {category.media_type}，"
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f"与 {normalized_type} 不一致，已降级为兼容路径快照"
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),
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)
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try:
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path = validate_classification_category_path(category.path)
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except ValueError as error:
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return self._downgrade(
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category_id=normalized_id,
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snapshot=snapshot,
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snapshot_error=snapshot_error,
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state="invalid_path",
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policy_revision=policy.revision,
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message=f"分类 {normalized_id} 的当前路径无效：{error}",
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)
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return ClassificationCategoryResolution(
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category_id=normalized_id,
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path=path,
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state="resolved",
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policy_revision=policy.revision,
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)
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def resolve_media(self, media: object | None) -> ClassificationCategoryResolution:
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"""从媒体生效分类读取稳定 ID，缺失时兼容 library_category。"""
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if media is None:
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return ClassificationCategoryResolution(None, (), "missing")
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classification = getattr(media, "classification", None)
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selection: ClassificationSelection | None = None
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if classification is not None:
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selection = classification.effective or classification.recommended
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if selection is not None:
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return self.resolve(
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category_id=selection.category_id,
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path_snapshot=selection.category_path,
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media_type=getattr(media, "type", None),
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)
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path_snapshot = getattr(media, "library_category", None)
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if not path_snapshot:
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path_snapshot = getattr(media, "category", None)
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return self.resolve(
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path_snapshot=path_snapshot,
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media_type=getattr(media, "type", None),
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)
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def category_paths(
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self,
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media_type: object = None,
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) -> tuple[tuple[str, ...], ...]:
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"""返回活动策略中指定媒体类型的启用安全分类路径。"""
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policy = self._active_policy()
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if policy is None:
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return ()
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normalized_type = classification_media_type(media_type)
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paths: list[tuple[str, ...]] = []
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for category in policy.categories:
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if not category.enabled:
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continue
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if normalized_type and category.media_type != normalized_type:
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continue
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try:
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path = validate_classification_category_path(category.path)
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except ValueError:
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continue
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if path not in paths:
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paths.append(path)
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return tuple(paths)
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def _active_policy(self) -> ClassificationPolicy | None:
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"""兼容协议对象和轻量无参函数两种策略提供器。"""
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provider = self._provider
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if callable(provider) and not hasattr(provider, "active_policy"):
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return provider()
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return cast(ClassificationPolicyProvider, provider).active_policy()
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@staticmethod
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def _downgrade(
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*,
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category_id: str,
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snapshot: tuple[str, ...],
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snapshot_error: str | None,
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state: ClassificationReferenceState,
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message: str,
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policy_revision: int = 0,
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) -> ClassificationCategoryResolution:
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"""构造保留失败状态的兼容路径降级结果。"""
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if snapshot_error:
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return ClassificationCategoryResolution(
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category_id=category_id,
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path=(),
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state="invalid_path",
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policy_revision=policy_revision,
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message=f"{message}；路径快照无效：{snapshot_error}",
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)
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return ClassificationCategoryResolution(
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category_id=category_id,
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path=snapshot,
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state=state,
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policy_revision=policy_revision,
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message=message,
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)
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@dataclass(frozen=True, slots=True)
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class ClassificationDirectoryReference:
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"""目录配置对一个稳定分类 ID 的只读引用快照。"""
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index: int
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directory_name: str
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category_id: str
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media_type: ClassificationMediaType | None
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path_snapshot: str | None
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class DirectoryClassificationReferenceValidator:
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"""读取当前目录配置并校验候选策略不会破坏稳定引用。"""
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def __init__(self, provider: Callable[[], object]) -> None:
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"""保存每次校验都读取最新目录配置快照的提供函数。"""
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self._provider = provider
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def validate(
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self,
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policy: ClassificationPolicy,
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) -> ClassificationValidationResult:
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"""校验候选策略与当前目录稳定引用的一致性。"""
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return validate_directory_classification_references(
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policy,
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self._provider(),
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)
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|
||
def validate_directory_classification_references(
|
||
policy: ClassificationPolicy,
|
||
raw_directories: object,
|
||
) -> ClassificationValidationResult:
|
||
"""校验候选策略不会删除、禁用或改变目录引用分类的媒体类型。"""
|
||
references, issues = _directory_references(raw_directories)
|
||
categories = {category.id: category for category in policy.categories}
|
||
for reference in references:
|
||
category = categories.get(reference.category_id)
|
||
issue_path: list[str | int] = [
|
||
"references",
|
||
"directories",
|
||
reference.index,
|
||
"media_category_id",
|
||
]
|
||
owner = reference.directory_name or f"第 {reference.index + 1} 项目录"
|
||
if category is None:
|
||
issues.append(
|
||
ClassificationValidationIssue(
|
||
severity="error",
|
||
code="referenced_category_missing",
|
||
message=(
|
||
f"目录 {owner} 引用的分类 {reference.category_id} 不存在，"
|
||
"请先解除目录引用"
|
||
),
|
||
path=issue_path,
|
||
)
|
||
)
|
||
continue
|
||
if not category.enabled:
|
||
issues.append(
|
||
ClassificationValidationIssue(
|
||
severity="error",
|
||
code="referenced_category_disabled",
|
||
message=(
|
||
f"目录 {owner} 引用的分类 {reference.category_id} 已被禁用，"
|
||
"请先解除目录引用"
|
||
),
|
||
path=issue_path,
|
||
)
|
||
)
|
||
continue
|
||
if reference.media_type and category.media_type != reference.media_type:
|
||
issues.append(
|
||
ClassificationValidationIssue(
|
||
severity="error",
|
||
code="referenced_category_media_type_mismatch",
|
||
message=(
|
||
f"目录 {owner} 的媒体类型为 {reference.media_type}，"
|
||
f"但分类 {reference.category_id} 已变为 {category.media_type}"
|
||
),
|
||
path=issue_path,
|
||
)
|
||
)
|
||
return ClassificationValidationResult(
|
||
valid=not any(issue.severity == "error" for issue in issues),
|
||
issues=issues,
|
||
)
|
||
|
||
|
||
def _directory_references(
|
||
raw_directories: object,
|
||
) -> tuple[list[ClassificationDirectoryReference], list[ClassificationValidationIssue]]:
|
||
"""从兼容目录配置中投影稳定引用，并保留损坏配置诊断。"""
|
||
if raw_directories is None:
|
||
return [], []
|
||
if not isinstance(raw_directories, list):
|
||
return [], [
|
||
ClassificationValidationIssue(
|
||
severity="error",
|
||
code="directory_reference_config_invalid",
|
||
message="目录配置不是数组，无法验证稳定分类引用",
|
||
path=["references", "directories"],
|
||
)
|
||
]
|
||
references: list[ClassificationDirectoryReference] = []
|
||
issues: list[ClassificationValidationIssue] = []
|
||
for index, item in enumerate(raw_directories):
|
||
if item is None:
|
||
continue
|
||
if not isinstance(item, dict):
|
||
issues.append(
|
||
ClassificationValidationIssue(
|
||
severity="error",
|
||
code="directory_reference_config_invalid",
|
||
message=f"第 {index + 1} 项目录配置不是对象",
|
||
path=["references", "directories", index],
|
||
)
|
||
)
|
||
continue
|
||
category_id = str(item.get("media_category_id") or "").strip()
|
||
if not category_id:
|
||
continue
|
||
raw_media_type = item.get("media_type")
|
||
media_type = classification_media_type(raw_media_type)
|
||
if raw_media_type and media_type is None:
|
||
issues.append(
|
||
ClassificationValidationIssue(
|
||
severity="error",
|
||
code="referenced_category_media_type_mismatch",
|
||
message=(
|
||
f"第 {index + 1} 项目录引用分类 {category_id}，"
|
||
f"但媒体类型 {raw_media_type!r} 无效"
|
||
),
|
||
path=["references", "directories", index, "media_type"],
|
||
)
|
||
)
|
||
continue
|
||
references.append(
|
||
ClassificationDirectoryReference(
|
||
index=index,
|
||
directory_name=str(item.get("name") or "").strip(),
|
||
category_id=category_id,
|
||
media_type=media_type,
|
||
path_snapshot=(
|
||
str(item.get("media_category") or "").strip() or None
|
||
),
|
||
)
|
||
)
|
||
return references, issues
|
||
|
||
|
||
def classification_media_type(value: object) -> ClassificationMediaType | None:
|
||
"""把 MediaType、中文值或 Agent 值规范为分类策略媒体类型。"""
|
||
if isinstance(value, Enum):
|
||
value = value.value
|
||
text = str(value or "").strip()
|
||
if text in {MediaType.MOVIE.value, MediaType.TV.value, MediaType.MUSIC.value}:
|
||
return cast(ClassificationMediaType, text)
|
||
agent_type = MediaType.from_agent(text)
|
||
if agent_type in {MediaType.MOVIE, MediaType.TV, MediaType.MUSIC}:
|
||
return cast(ClassificationMediaType, agent_type.value)
|
||
return None
|
||
|
||
|
||
def append_classification_category_path(
|
||
root: Path,
|
||
segments: Sequence[str],
|
||
) -> Path:
|
||
"""把安全分类路径段逐级追加到目标根目录。"""
|
||
return root.joinpath(*validate_classification_category_path(segments))
|
||
|
||
|
||
def category_path_below_media_type(
|
||
segments: Sequence[str],
|
||
media_type: object,
|
||
*,
|
||
type_folder_enabled: bool,
|
||
) -> tuple[str, ...]:
|
||
"""兼容移除已重复包含在分类快照首段的媒体类型根目录。"""
|
||
path = validate_classification_category_path(segments)
|
||
if not type_folder_enabled or not path:
|
||
return path
|
||
normalized_type = classification_media_type(media_type)
|
||
if normalized_type and path[0] == normalized_type:
|
||
return path[1:]
|
||
return path
|
||
|
||
|
||
def ensure_path_within_root(root: Path, target: Path) -> Path:
|
||
"""拒绝重命名或插件结果逃逸已选定的目标根目录。"""
|
||
pure_root, pure_target = _comparable_paths(root, target)
|
||
if ".." in pure_target.parts:
|
||
raise ValueError(f"目标路径包含上级目录，不能越过目标根目录：{target}")
|
||
if pure_target != pure_root and not pure_target.is_relative_to(pure_root):
|
||
raise ValueError(f"目标路径不在已选定目录内：{target}")
|
||
return target
|
||
|
||
|
||
def _path_snapshot(
|
||
value: str | Sequence[str] | None,
|
||
) -> tuple[tuple[str, ...], str | None]:
|
||
"""把兼容字符串或路径段数组转换为受校验的不可变快照。"""
|
||
if value is None:
|
||
return (), None
|
||
if isinstance(value, str):
|
||
if not value:
|
||
return (), None
|
||
raw_segments: Sequence[object] = value.split("/")
|
||
else:
|
||
raw_segments = value
|
||
segments: list[str] = []
|
||
for segment in raw_segments:
|
||
if not isinstance(segment, str):
|
||
return (), "目录路径段必须是字符串"
|
||
normalized = segment.strip()
|
||
if normalized:
|
||
segments.append(normalized)
|
||
try:
|
||
return validate_classification_category_path(segments), None
|
||
except (TypeError, ValueError) as error:
|
||
return (), str(error)
|
||
|
||
|
||
def _comparable_paths(root: Path, target: Path) -> tuple[PurePath, PurePath]:
|
||
"""按 POSIX 或 Windows drive 语义构造可比较的纯路径。"""
|
||
root_text = root.as_posix()
|
||
target_text = target.as_posix()
|
||
if re.match(r"^[A-Za-z]:/", root_text):
|
||
return PureWindowsPath(root_text), PureWindowsPath(target_text)
|
||
return PurePosixPath(root_text), PurePosixPath(target_text)
|