bot-ci
8a9cb21408
Move daily snapshot/fans to 23:15 and add 00:01 seed that clones last_completed ok=1 rows into today without advancing completed. Evening runs force through seed markers; growth previous is per-aid adjacent. Home shows short-update clock + 全站数据 date, and 收录视频 counts.
702 lines
23 KiB
Python
702 lines
23 KiB
Python
# -*- coding: utf-8 -*-
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"""运行期配置加载、校验与热加载。
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B 站凭据必须采用 ``bilibili.read`` / ``bilibili.write`` 双账号格式。敏感值只
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保存在配置对象中，日志输出必须先经过 ``logging_json`` 脱敏。
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"""
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from __future__ import annotations
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import copy
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import json
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import os
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import re
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import threading
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from dataclasses import dataclass, field
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from pathlib import Path
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from typing import Any, Mapping
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from .client_ip import (
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DEFAULT_CLIENT_IP_HEADERS,
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DEFAULT_TRUSTED_PROXIES,
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parse_networks,
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)
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DEFAULT_CLASSIFY: dict[str, Any] = {
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"require_title": "咻咻满",
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"self_mid": 37754047,
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"reaction": ["re", "reaction", "反应"],
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"charge": ["加急", "特急", "充电", "专场"],
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"weak_positive": ["双人", "路人", "第一次", "首次"],
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"negative": ["歌切", "切片", "搬运", "完整版", "录播", "录像"],
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"date_negative": True,
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"duration_boost": {"gt_30min": 1, "gt_60min": 2},
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}
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DEFAULT_HEAT_WEIGHTS: dict[str, float] = {
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"view": 0.30,
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"like": 0.20,
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"coin": 0.20,
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"favorite": 0.15,
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"share": 0.10,
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"reply": 0.03,
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"danmaku": 0.02,
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}
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DEFAULT_ANALYTICS: dict[str, Any] = {
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"min_duration_seconds": 600,
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"maturity_days": 2,
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"min_view_for_ranking": 2000,
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"video_shrink_minutes": 60,
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"shrink_minutes": None,
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"home_growth_days": "auto",
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}
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DEFAULT_CONFIG: dict[str, Any] = {
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"bilibili": {
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"read": {"mid": 0, "csrf": "", "cookie": ""},
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"write": {"mid": 0, "csrf": "", "cookie": ""},
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},
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"telegram": {"enabled": False, "bot_token": "", "chat_id": 0},
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"web": {
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"host": "127.0.0.1",
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"port": 8080,
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"auth_token": "",
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"public_base_url": "",
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"track": {
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"enabled": True,
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"header_order": list(DEFAULT_CLIENT_IP_HEADERS),
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"trusted_proxies": list(DEFAULT_TRUSTED_PROXIES),
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"count_bots": False,
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"flush_seconds": 60,
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"keep_days": 180,
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"max_hits_per_ip_path_per_day": 0,
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},
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},
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"storage": {
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"database_path": "data/app.db",
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"backup_dir": "data/backup",
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"backup_keep_days": 14,
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},
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"folders": [],
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"track_fans": [],
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"up_blacklist_seed": [],
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"schedule": {
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"discover_minutes": 60,
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"snapshot_at": "23:15",
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"seed_at": "00:01",
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"candidate_ttl_days": 7,
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"recent_snapshot_minutes": 60,
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"recent_video_days": 2,
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},
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"discover": {
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"keywords": ["咻咻满"],
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"pages": 3,
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"window_days": 7,
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},
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"notify": {"min_score": 4, "max_items_per_message": 10},
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"classify": DEFAULT_CLASSIFY,
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"heat_weights": DEFAULT_HEAT_WEIGHTS,
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"analytics": DEFAULT_ANALYTICS,
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}
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# 环境变量只作为 CI / 临时调试的覆盖入口，不作为主路径。
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ENV_OVERRIDES: dict[str, tuple[tuple[str, ...], type]] = {
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"BILI_READ_COOKIE": (("bilibili", "read", "cookie"), str),
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"BILI_READ_CSRF": (("bilibili", "read", "csrf"), str),
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"BILI_READ_MID": (("bilibili", "read", "mid"), int),
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"BILI_WRITE_COOKIE": (("bilibili", "write", "cookie"), str),
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"BILI_WRITE_CSRF": (("bilibili", "write", "csrf"), str),
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"BILI_WRITE_MID": (("bilibili", "write", "mid"), int),
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"TG_BOT_TOKEN": (("telegram", "bot_token"), str),
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"TG_CHAT_ID": (("telegram", "chat_id"), int),
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"DASHBOARD_AUTH_TOKEN": (("web", "auth_token"), str),
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"DATABASE_PATH": (("storage", "database_path"), str),
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}
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_SNAPSHOT_AT_RE = re.compile(r"^([01]\d|2[0-3]):[0-5]\d$")
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_HEAT_METRICS = tuple(DEFAULT_HEAT_WEIGHTS)
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class ConfigError(ValueError):
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"""配置文件缺失、格式错误或字段非法。"""
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@dataclass(frozen=True)
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class BilibiliCredentials:
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mid: int
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csrf: str
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cookie: str
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@dataclass(frozen=True)
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class BilibiliConfig:
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read: BilibiliCredentials
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write: BilibiliCredentials
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@dataclass(frozen=True)
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class TelegramConfig:
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enabled: bool
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bot_token: str
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chat_id: int
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@dataclass(frozen=True)
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class WebConfig:
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host: str
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port: int
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auth_token: str
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public_base_url: str
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track: "TrackConfig"
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@dataclass(frozen=True)
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class TrackConfig:
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enabled: bool
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header_order: tuple[str, ...]
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trusted_proxies: tuple[str, ...]
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count_bots: bool
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flush_seconds: int
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keep_days: int
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max_hits_per_ip_path_per_day: int
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@dataclass(frozen=True)
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class StorageConfig:
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database_path: Path
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backup_dir: Path
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backup_keep_days: int
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@dataclass(frozen=True)
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class FolderConfig:
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year: int
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media_id: int
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title: str = ""
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@dataclass(frozen=True)
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class ScheduleConfig:
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discover_minutes: int
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snapshot_at: str
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seed_at: str
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candidate_ttl_days: int
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recent_snapshot_minutes: int
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recent_video_days: int
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@dataclass(frozen=True)
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class NotifyConfig:
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min_score: int
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max_items_per_message: int
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@dataclass(frozen=True)
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class DiscoverConfig:
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keywords: tuple[str, ...]
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pages: int
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window_days: int
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candidate_min_score: int
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@dataclass(frozen=True)
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class AnalyticsConfig:
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min_duration_seconds: int
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maturity_days: int
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min_view_for_ranking: int
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video_shrink_minutes: int
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shrink_minutes: int | None
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home_growth_days: str | int
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@dataclass(frozen=True)
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class AppConfig:
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path: Path
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bilibili: BilibiliConfig
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telegram: TelegramConfig
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web: WebConfig
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storage: StorageConfig
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folders: tuple[FolderConfig, ...]
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track_fans: tuple[int, ...]
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up_blacklist_seed: tuple[int, ...]
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schedule: ScheduleConfig
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notify: NotifyConfig
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discover: DiscoverConfig
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classify: Mapping[str, Any]
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heat_weights: Mapping[str, float]
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analytics: AnalyticsConfig
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raw: Mapping[str, Any] = field(repr=False, compare=False)
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def folder_for_year(self, year: int) -> FolderConfig | None:
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for folder in self.folders:
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if folder.year == year:
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return folder
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return None
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def latest_folder(self) -> FolderConfig | None:
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if not self.folders:
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return None
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return max(self.folders, key=lambda f: f.year)
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def _deep_merge(base: Mapping[str, Any], override: Mapping[str, Any]) -> dict[str, Any]:
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out = copy.deepcopy(dict(base))
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for key, value in override.items():
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if isinstance(value, Mapping) and isinstance(out.get(key), Mapping):
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out[key] = _deep_merge(out[key], value)
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else:
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out[key] = copy.deepcopy(value)
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return out
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def _get_path(data: Mapping[str, Any], path: tuple[str, ...]) -> Any:
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cur: Any = data
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for key in path:
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if not isinstance(cur, Mapping) or key not in cur:
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return None
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cur = cur[key]
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return cur
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def _set_path(data: dict[str, Any], path: tuple[str, ...], value: Any) -> None:
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cur = data
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for key in path[:-1]:
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cur = cur.setdefault(key, {})
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cur[path[-1]] = value
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def _as_int(value: Any, name: str, *, minimum: int | None = None,
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maximum: int | None = None) -> int:
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if isinstance(value, bool) or not isinstance(value, int):
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raise ConfigError(f"{name} 必须是整数")
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if minimum is not None and value < minimum:
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raise ConfigError(f"{name} 不能小于 {minimum}")
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if maximum is not None and value > maximum:
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raise ConfigError(f"{name} 不能大于 {maximum}")
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return value
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def _as_str(value: Any, name: str) -> str:
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if not isinstance(value, str):
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raise ConfigError(f"{name} 必须是字符串")
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return value
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def _as_int_list(value: Any, name: str) -> tuple[int, ...]:
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if not isinstance(value, list):
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raise ConfigError(f"{name} 必须是数组")
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out: list[int] = []
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for item in value:
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mid = _as_int(item, f"{name}[]", minimum=1)
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if mid not in out:
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out.append(mid)
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return tuple(out)
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def _as_str_list(value: Any, name: str) -> list[str]:
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if not isinstance(value, list):
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raise ConfigError(f"{name} 必须是数组")
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out = []
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for item in value:
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if not isinstance(item, str) or not item:
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raise ConfigError(f"{name}[] 必须是非空字符串")
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out.append(item)
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return out
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def _as_str_tuple(value: Any, name: str, *, allow_empty: bool) -> tuple[str, ...]:
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if not isinstance(value, list):
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raise ConfigError(f"{name} 必须是数组")
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out: list[str] = []
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for item in value:
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if not isinstance(item, str) or not item.strip():
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raise ConfigError(f"{name}[] 必须是非空字符串")
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text = item.strip()
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if text not in out:
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out.append(text)
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if not allow_empty and not out:
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raise ConfigError(f"{name} 不能为空")
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return tuple(out)
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def _validate_networks(value: Any, name: str) -> tuple[str, ...]:
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"""校验 CIDR / 裸 IP 列表，任意非法项都视为配置错误。"""
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texts = _as_str_tuple(value, name, allow_empty=True)
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parsed = parse_networks(texts)
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if len(parsed) != len(texts):
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raise ConfigError(f"{name} 含非法 IP/CIDR")
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return tuple(network.with_prefixlen for network in parsed)
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def _validate_folders(value: Any) -> tuple[FolderConfig, ...]:
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if not isinstance(value, list):
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raise ConfigError("folders 必须是数组")
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folders: list[FolderConfig] = []
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seen_ids: set[int] = set()
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seen_years: set[int] = set()
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for index, item in enumerate(value):
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name = f"folders[{index}]"
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if not isinstance(item, Mapping):
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raise ConfigError(f"{name} 必须是对象")
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year = _as_int(item.get("year"), f"{name}.year", minimum=1900, maximum=9999)
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media_id = _as_int(item.get("media_id"), f"{name}.media_id", minimum=1)
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title = _as_str(item.get("title", "") or "", f"{name}.title")
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if media_id in seen_ids:
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raise ConfigError(f"{name}.media_id 重复: {media_id}")
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if year in seen_years:
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raise ConfigError(f"{name}.year 重复: {year}")
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seen_ids.add(media_id)
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seen_years.add(year)
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folders.append(FolderConfig(year=year, media_id=media_id, title=title))
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return tuple(folders)
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def _build_config(data: Mapping[str, Any], path: Path) -> AppConfig:
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b = data["bilibili"]
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if not isinstance(b, Mapping):
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raise ConfigError("bilibili 必须是对象")
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def credentials(account: str) -> BilibiliCredentials:
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value = b.get(account)
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if not isinstance(value, Mapping):
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raise ConfigError(f"bilibili.{account} 必须是对象")
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return BilibiliCredentials(
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mid=_as_int(value.get("mid", 0), f"bilibili.{account}.mid", minimum=0),
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csrf=_as_str(value.get("csrf", "") or "", f"bilibili.{account}.csrf"),
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cookie=_as_str(value.get("cookie", "") or "", f"bilibili.{account}.cookie"),
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)
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bilibili = BilibiliConfig(read=credentials("read"), write=credentials("write"))
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tg = data["telegram"]
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if not isinstance(tg, Mapping):
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raise ConfigError("telegram 必须是对象")
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telegram = TelegramConfig(
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enabled=bool(tg.get("enabled", False)),
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bot_token=_as_str(tg.get("bot_token", "") or "", "telegram.bot_token"),
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chat_id=_as_int(tg.get("chat_id", 0), "telegram.chat_id"),
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)
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web_raw = data["web"]
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if not isinstance(web_raw, Mapping):
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raise ConfigError("web 必须是对象")
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track_raw = web_raw.get("track")
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if track_raw is not None and not isinstance(track_raw, Mapping):
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raise ConfigError("web.track 必须是对象")
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track_raw = track_raw or {}
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track = TrackConfig(
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enabled=bool(track_raw.get("enabled", True)),
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header_order=_as_str_tuple(
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track_raw.get("header_order", list(DEFAULT_CLIENT_IP_HEADERS)),
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"web.track.header_order",
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allow_empty=False,
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),
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trusted_proxies=_validate_networks(
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track_raw.get("trusted_proxies", list(DEFAULT_TRUSTED_PROXIES)),
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"web.track.trusted_proxies",
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),
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count_bots=bool(track_raw.get("count_bots", False)),
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flush_seconds=_as_int(
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track_raw.get("flush_seconds", 60),
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"web.track.flush_seconds",
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minimum=0,
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),
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keep_days=_as_int(
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track_raw.get("keep_days", 180),
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"web.track.keep_days",
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minimum=1,
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),
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max_hits_per_ip_path_per_day=_as_int(
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track_raw.get("max_hits_per_ip_path_per_day", 0),
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"web.track.max_hits_per_ip_path_per_day",
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minimum=0,
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),
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)
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web = WebConfig(
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host=_as_str(web_raw.get("host", "127.0.0.1"), "web.host"),
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port=_as_int(web_raw.get("port", 8080), "web.port", minimum=1, maximum=65535),
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auth_token=_as_str(web_raw.get("auth_token", "") or "", "web.auth_token"),
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public_base_url=_as_str(
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web_raw.get("public_base_url", "") or "", "web.public_base_url"
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),
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track=track,
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)
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storage_raw = data["storage"]
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if not isinstance(storage_raw, Mapping):
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raise ConfigError("storage 必须是对象")
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base_dir = path.parent
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database_path = Path(_as_str(
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storage_raw.get("database_path", "data/app.db") or "data/app.db",
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"storage.database_path",
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))
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backup_dir = Path(_as_str(
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storage_raw.get("backup_dir", "data/backup") or "data/backup",
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"storage.backup_dir",
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))
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if not database_path.is_absolute():
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database_path = base_dir / database_path
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if not backup_dir.is_absolute():
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backup_dir = base_dir / backup_dir
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storage = StorageConfig(
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database_path=database_path,
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backup_dir=backup_dir,
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backup_keep_days=_as_int(
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storage_raw.get("backup_keep_days", 14),
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"storage.backup_keep_days",
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minimum=1,
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),
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)
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sched_raw = data["schedule"]
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if not isinstance(sched_raw, Mapping):
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raise ConfigError("schedule 必须是对象")
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snapshot_at = _as_str(sched_raw.get("snapshot_at", "23:15"), "schedule.snapshot_at")
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if not _SNAPSHOT_AT_RE.match(snapshot_at):
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raise ConfigError("schedule.snapshot_at 必须是 HH:MM（24 小时制）")
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seed_at = _as_str(sched_raw.get("seed_at", "00:01"), "schedule.seed_at")
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if not _SNAPSHOT_AT_RE.match(seed_at):
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raise ConfigError("schedule.seed_at 必须是 HH:MM（24 小时制）")
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schedule = ScheduleConfig(
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discover_minutes=_as_int(
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sched_raw.get("discover_minutes", 60), "schedule.discover_minutes", minimum=1
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),
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snapshot_at=snapshot_at,
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seed_at=seed_at,
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candidate_ttl_days=_as_int(
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sched_raw.get("candidate_ttl_days", 7),
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"schedule.candidate_ttl_days",
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minimum=1,
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),
|
||
recent_snapshot_minutes=_as_int(
|
||
sched_raw.get("recent_snapshot_minutes", 60),
|
||
"schedule.recent_snapshot_minutes",
|
||
minimum=1,
|
||
),
|
||
recent_video_days=_as_int(
|
||
sched_raw.get("recent_video_days", 2),
|
||
"schedule.recent_video_days",
|
||
minimum=1,
|
||
),
|
||
)
|
||
|
||
notify_raw = data["notify"]
|
||
if not isinstance(notify_raw, Mapping):
|
||
raise ConfigError("notify 必须是对象")
|
||
notify = NotifyConfig(
|
||
min_score=_as_int(notify_raw.get("min_score", 2), "notify.min_score"),
|
||
max_items_per_message=_as_int(
|
||
notify_raw.get("max_items_per_message", 10),
|
||
"notify.max_items_per_message",
|
||
minimum=1,
|
||
),
|
||
)
|
||
|
||
discover_raw = data["discover"]
|
||
if not isinstance(discover_raw, Mapping):
|
||
raise ConfigError("discover 必须是对象")
|
||
keywords = discover_raw.get("keywords", [])
|
||
if not isinstance(keywords, list) or not keywords:
|
||
raise ConfigError("discover.keywords 必须是非空数组")
|
||
discover = DiscoverConfig(
|
||
keywords=tuple(
|
||
_as_str(item, "discover.keywords[]") for item in keywords
|
||
),
|
||
pages=_as_int(
|
||
discover_raw.get("pages", 2), "discover.pages", minimum=1, maximum=10
|
||
),
|
||
window_days=_as_int(
|
||
discover_raw.get("window_days", 14), "discover.window_days", minimum=1
|
||
),
|
||
candidate_min_score=_as_int(
|
||
discover_raw.get("candidate_min_score", notify.min_score),
|
||
"discover.candidate_min_score",
|
||
minimum=0,
|
||
),
|
||
)
|
||
|
||
classify_raw = data["classify"]
|
||
if not isinstance(classify_raw, Mapping):
|
||
raise ConfigError("classify 必须是对象")
|
||
classify = copy.deepcopy(dict(classify_raw))
|
||
classify["require_title"] = _as_str(
|
||
classify.get("require_title", "咻咻满"), "classify.require_title"
|
||
)
|
||
if not classify["require_title"]:
|
||
raise ConfigError("classify.require_title 不能为空")
|
||
classify["self_mid"] = _as_int(
|
||
classify.get("self_mid", 37754047), "classify.self_mid", minimum=1
|
||
)
|
||
for key in ("reaction", "charge", "weak_positive", "negative"):
|
||
classify[key] = _as_str_list(classify.get(key, []), f"classify.{key}")
|
||
date_negative = classify.get("date_negative", True)
|
||
if not isinstance(date_negative, bool):
|
||
raise ConfigError("classify.date_negative 必须是布尔值")
|
||
classify["date_negative"] = date_negative
|
||
boost = classify.get("duration_boost", {})
|
||
if not isinstance(boost, Mapping):
|
||
raise ConfigError("classify.duration_boost 必须是对象")
|
||
classify["duration_boost"] = {
|
||
"gt_30min": _as_int(boost.get("gt_30min", 1), "classify.duration_boost.gt_30min"),
|
||
"gt_60min": _as_int(boost.get("gt_60min", 2), "classify.duration_boost.gt_60min"),
|
||
}
|
||
|
||
heat_raw = data["heat_weights"]
|
||
if not isinstance(heat_raw, Mapping):
|
||
raise ConfigError("heat_weights 必须是对象")
|
||
heat: dict[str, float] = {}
|
||
for metric in _HEAT_METRICS:
|
||
value = heat_raw.get(metric, DEFAULT_HEAT_WEIGHTS[metric])
|
||
if isinstance(value, bool) or not isinstance(value, (int, float)) or value < 0:
|
||
raise ConfigError(f"heat_weights.{metric} 必须是非负数字")
|
||
heat[metric] = float(value)
|
||
|
||
analytics_raw = data["analytics"]
|
||
if not isinstance(analytics_raw, Mapping):
|
||
raise ConfigError("analytics 必须是对象")
|
||
shrink_raw = analytics_raw.get("shrink_minutes")
|
||
home_growth_raw = analytics_raw.get("home_growth_days", "auto")
|
||
if home_growth_raw == "auto":
|
||
home_growth_days: str | int = "auto"
|
||
elif home_growth_raw in (1, 7):
|
||
home_growth_days = int(home_growth_raw)
|
||
else:
|
||
raise ConfigError('analytics.home_growth_days 必须是 "auto"、1 或 7')
|
||
analytics = AnalyticsConfig(
|
||
min_duration_seconds=_as_int(
|
||
analytics_raw.get("min_duration_seconds", 600),
|
||
"analytics.min_duration_seconds",
|
||
minimum=0,
|
||
),
|
||
maturity_days=_as_int(
|
||
analytics_raw.get("maturity_days", 2),
|
||
"analytics.maturity_days",
|
||
minimum=0,
|
||
),
|
||
min_view_for_ranking=_as_int(
|
||
analytics_raw.get("min_view_for_ranking", 2000),
|
||
"analytics.min_view_for_ranking",
|
||
minimum=0,
|
||
),
|
||
video_shrink_minutes=_as_int(
|
||
analytics_raw.get("video_shrink_minutes", 60),
|
||
"analytics.video_shrink_minutes",
|
||
minimum=0,
|
||
),
|
||
shrink_minutes=(
|
||
None if shrink_raw is None else _as_int(
|
||
shrink_raw, "analytics.shrink_minutes", minimum=1
|
||
)
|
||
),
|
||
home_growth_days=home_growth_days,
|
||
)
|
||
|
||
return AppConfig(
|
||
path=path,
|
||
bilibili=bilibili,
|
||
telegram=telegram,
|
||
web=web,
|
||
storage=storage,
|
||
folders=_validate_folders(data["folders"]),
|
||
track_fans=_as_int_list(data["track_fans"], "track_fans"),
|
||
up_blacklist_seed=_as_int_list(data["up_blacklist_seed"], "up_blacklist_seed"),
|
||
schedule=schedule,
|
||
notify=notify,
|
||
discover=discover,
|
||
classify=classify,
|
||
heat_weights=heat,
|
||
analytics=analytics,
|
||
raw=data,
|
||
)
|
||
|
||
|
||
def load_config(
|
||
path: str | os.PathLike[str],
|
||
*,
|
||
env: Mapping[str, str] | None = None,
|
||
require_auth: bool = False,
|
||
) -> AppConfig:
|
||
"""读取并校验配置。``env`` 默认为 ``os.environ``。"""
|
||
config_path = Path(path)
|
||
if not config_path.exists():
|
||
raise ConfigError(f"缺少配置文件: {config_path}")
|
||
try:
|
||
with open(config_path, encoding="utf-8") as fh:
|
||
raw = json.load(fh)
|
||
except json.JSONDecodeError as exc:
|
||
raise ConfigError(f"配置文件不是合法 JSON: {config_path}: {exc}") from exc
|
||
except OSError as exc:
|
||
raise ConfigError(f"无法读取配置文件: {config_path}: {exc}") from exc
|
||
if not isinstance(raw, Mapping):
|
||
raise ConfigError("配置文件顶层必须是 JSON 对象")
|
||
raw_bilibili = raw.get("bilibili")
|
||
if not isinstance(raw_bilibili, Mapping):
|
||
raise ConfigError("缺少 bilibili.read / bilibili.write 双账号配置")
|
||
for account in ("read", "write"):
|
||
if account not in raw_bilibili:
|
||
raise ConfigError(f"缺少 bilibili.{account} 账号配置")
|
||
|
||
data = _deep_merge(DEFAULT_CONFIG, raw)
|
||
|
||
env_map = os.environ if env is None else env
|
||
for env_name, (target, caster) in ENV_OVERRIDES.items():
|
||
if env_name not in env_map:
|
||
continue
|
||
value: Any = env_map[env_name]
|
||
if caster is int:
|
||
try:
|
||
value = int(value)
|
||
except (TypeError, ValueError) as exc:
|
||
raise ConfigError(f"环境变量 {env_name} 必须是整数") from exc
|
||
_set_path(data, target, value)
|
||
|
||
cfg = _build_config(data, config_path)
|
||
if require_auth and (not cfg.bilibili.read.cookie or not cfg.bilibili.read.csrf):
|
||
raise ConfigError(
|
||
"config.json 中的 bilibili.read.cookie / csrf 不能为空（可先运行 python app.py auth）"
|
||
)
|
||
return cfg
|
||
|
||
|
||
class ConfigStore:
|
||
"""按文件 mtime 热加载配置；坏配置不会覆盖上一份可用配置。"""
|
||
|
||
def __init__(
|
||
self,
|
||
path: str | os.PathLike[str],
|
||
*,
|
||
env: Mapping[str, str] | None = None,
|
||
require_auth: bool = False,
|
||
) -> None:
|
||
self.path = Path(path)
|
||
self._env = env
|
||
self._require_auth = require_auth
|
||
self._lock = threading.RLock()
|
||
self._config = load_config(path, env=env, require_auth=require_auth)
|
||
self._mtime_ns = self._read_mtime_ns()
|
||
self.last_error: str | None = None
|
||
self.revision = 0
|
||
|
||
def _read_mtime_ns(self) -> int | None:
|
||
try:
|
||
return self.path.stat().st_mtime_ns
|
||
except OSError:
|
||
return None
|
||
|
||
def get(self) -> AppConfig:
|
||
with self._lock:
|
||
mtime_ns = self._read_mtime_ns()
|
||
if mtime_ns is None or mtime_ns == self._mtime_ns:
|
||
return self._config
|
||
self._mtime_ns = mtime_ns
|
||
try:
|
||
self._config = load_config(
|
||
self.path, env=self._env, require_auth=self._require_auth
|
||
)
|
||
except ConfigError as exc:
|
||
self.last_error = str(exc)
|
||
return self._config
|
||
self.last_error = None
|
||
self.revision += 1
|
||
return self._config
|