mirror of
https://github.com/AstrBotDevs/AstrBot
synced 2026-07-16 01:40:15 +08:00
245 lines
7.5 KiB
Python
245 lines
7.5 KiB
Python
import uuid
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from datetime import datetime, timezone
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from dataclasses import dataclass, field
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from sqlmodel import (
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SQLModel,
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Text,
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JSON,
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UniqueConstraint,
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Field,
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)
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from typing import Optional, TypedDict
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class PlatformStat(SQLModel, table=True):
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"""This class represents the statistics of bot usage across different platforms.
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Note: In astrbot v4, we moved `platform` table to here.
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"""
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__tablename__ = "platform_stats"
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id: int = Field(primary_key=True, sa_column_kwargs={"autoincrement": True})
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timestamp: datetime = Field(nullable=False)
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platform_id: str = Field(nullable=False)
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platform_type: str = Field(nullable=False) # such as "aiocqhttp", "slack", etc.
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count: int = Field(default=0, nullable=False)
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__table_args__ = (
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UniqueConstraint(
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"timestamp",
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"platform_id",
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"platform_type",
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name="uix_platform_stats",
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),
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)
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class ConversationV2(SQLModel, table=True):
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__tablename__ = "conversations"
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inner_conversation_id: int = Field(
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primary_key=True, sa_column_kwargs={"autoincrement": True}
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)
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conversation_id: str = Field(
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max_length=36,
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nullable=False,
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unique=True,
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default_factory=lambda: str(uuid.uuid4()),
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)
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platform_id: str = Field(nullable=False)
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user_id: str = Field(nullable=False)
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content: Optional[list] = Field(default=None, sa_type=JSON)
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created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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updated_at: datetime = Field(
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default_factory=lambda: datetime.now(timezone.utc),
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sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
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)
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title: Optional[str] = Field(default=None, max_length=255)
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persona_id: Optional[str] = Field(default=None)
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__table_args__ = (
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UniqueConstraint(
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"conversation_id",
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name="uix_conversation_id",
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),
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)
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class Persona(SQLModel, table=True):
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"""Persona is a set of instructions for LLMs to follow.
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It can be used to customize the behavior of LLMs.
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"""
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__tablename__ = "personas"
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id: int = Field(primary_key=True, sa_column_kwargs={"autoincrement": True})
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persona_id: str = Field(max_length=255, nullable=False)
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system_prompt: str = Field(sa_type=Text, nullable=False)
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begin_dialogs: Optional[list] = Field(default=None, sa_type=JSON)
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"""a list of strings, each representing a dialog to start with"""
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tools: Optional[list] = Field(default=None, sa_type=JSON)
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"""None means use ALL tools for default, empty list means no tools, otherwise a list of tool names."""
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created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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updated_at: datetime = Field(
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default_factory=lambda: datetime.now(timezone.utc),
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sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
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)
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__table_args__ = (
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UniqueConstraint(
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"persona_id",
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name="uix_persona_id",
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),
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)
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class Preference(SQLModel, table=True):
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"""This class represents preferences for bots."""
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__tablename__ = "preferences"
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id: int | None = Field(
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default=None, primary_key=True, sa_column_kwargs={"autoincrement": True}
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)
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scope: str = Field(nullable=False)
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"""Scope of the preference, such as 'global', 'umo', 'plugin'."""
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scope_id: str = Field(nullable=False)
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"""ID of the scope, such as 'global', 'umo', 'plugin_name'."""
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key: str = Field(nullable=False)
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value: dict = Field(sa_type=JSON, nullable=False)
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created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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updated_at: datetime = Field(
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default_factory=lambda: datetime.now(timezone.utc),
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sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
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)
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__table_args__ = (
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UniqueConstraint(
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"scope",
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"scope_id",
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"key",
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name="uix_preference_scope_scope_id_key",
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),
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)
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class PlatformMessageHistory(SQLModel, table=True):
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"""This class represents the message history for a specific platform.
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It is used to store messages that are not LLM-generated, such as user messages
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or platform-specific messages.
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"""
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__tablename__ = "platform_message_history"
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id: int = Field(primary_key=True, sa_column_kwargs={"autoincrement": True})
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platform_id: str = Field(nullable=False)
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user_id: str = Field(nullable=False) # An id of group, user in platform
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sender_id: Optional[str] = Field(default=None) # ID of the sender in the platform
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sender_name: Optional[str] = Field(
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default=None
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) # Name of the sender in the platform
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content: dict = Field(sa_type=JSON, nullable=False) # a message chain list
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created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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updated_at: datetime = Field(
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default_factory=lambda: datetime.now(timezone.utc),
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sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
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)
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class Attachment(SQLModel, table=True):
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"""This class represents attachments for messages in AstrBot.
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Attachments can be images, files, or other media types.
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"""
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__tablename__ = "attachments"
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inner_attachment_id: int = Field(
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primary_key=True, sa_column_kwargs={"autoincrement": True}
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)
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attachment_id: str = Field(
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max_length=36,
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nullable=False,
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unique=True,
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default_factory=lambda: str(uuid.uuid4()),
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)
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path: str = Field(nullable=False) # Path to the file on disk
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type: str = Field(nullable=False) # Type of the file (e.g., 'image', 'file')
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mime_type: str = Field(nullable=False) # MIME type of the file
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created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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updated_at: datetime = Field(
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default_factory=lambda: datetime.now(timezone.utc),
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sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
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)
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__table_args__ = (
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UniqueConstraint(
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"attachment_id",
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name="uix_attachment_id",
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),
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)
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@dataclass
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class Conversation:
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"""LLM 对话类
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对于 WebChat，history 存储了包括指令、回复、图片等在内的所有消息。
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对于其他平台的聊天，不存储非 LLM 的回复（因为考虑到已经存储在各自的平台上）。
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在 v4.0.0 版本及之后，WebChat 的历史记录被迁移至 `PlatformMessageHistory` 表中，
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"""
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platform_id: str
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user_id: str
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cid: str
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"""对话 ID, 是 uuid 格式的字符串"""
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history: str = ""
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"""字符串格式的对话列表。"""
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title: str | None = ""
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persona_id: str | None = ""
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created_at: int = 0
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updated_at: int = 0
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class Personality(TypedDict):
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"""LLM 人格类。
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在 v4.0.0 版本及之后，推荐使用上面的 Persona 类。并且， mood_imitation_dialogs 字段已被废弃。
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"""
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prompt: str = ""
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name: str = ""
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begin_dialogs: list[str] = []
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mood_imitation_dialogs: list[str] = []
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"""情感模拟对话预设。在 v4.0.0 版本及之后，已被废弃。"""
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tools: list[str] | None = None
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"""工具列表。None 表示使用所有工具，空列表表示不使用任何工具"""
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# cache
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_begin_dialogs_processed: list[dict] = []
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_mood_imitation_dialogs_processed: str = ""
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# ====
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# Deprecated, and will be removed in future versions.
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# ====
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@dataclass
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class Platform:
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"""平台使用统计数据"""
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name: str
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count: int
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timestamp: int
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@dataclass
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class Stats:
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platform: list[Platform] = field(default_factory=list)
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