a004c59e1e
在接收和发送消息时注册记忆自动化，并重构人物记忆回写逻辑以使用 memory_service.ingest_text。主要改动如下： 在接收消息时调用 memory_automation_service.on_incoming_message（bot 侧），在发送消息时调用 on_message_sent（send_service 侧），并加入安全的错误处理。 在 person_info 中，用 memory_service.ingest_text 替换手动操作 person.memory_points 的方式；新增 resolve_person_id_for_memory 辅助方法，并为回写计算一个 external_id 指纹。 扩展插件运行时的记忆搜索能力，使其支持 mode、chat_id、person_id、user_id、group_id、时间范围以及 respect_filter 选项。 改进 find_messages 的数据库会话处理，改为使用单一 session，并修复排序和过滤逻辑。 从 KnowledgeFetcher 中移除未使用的 LLMRequest 导入和初始化。 更新术语解释器（jargon explainer）的导入路径，使用新的模块位置。 更新 .gitignore 例外规则，允许特定的 pytest 数据文件被纳入版本控制。 文档小调整：明确人物事实提取规则（将直接使用的 “you” 改写为第三人称）。
814 lines
27 KiB
Python
814 lines
27 KiB
Python
"""
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发送服务模块。
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统一封装内部模块的出站消息发送逻辑：
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1. 内部模块统一调用本模块。
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2. send service 只负责构造和预处理消息。
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3. 具体走插件链还是 legacy 旧链，由 Platform IO 内部统一决策。
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"""
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from copy import deepcopy
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from typing import Any, Dict, List, Optional
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import asyncio
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import base64
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import hashlib
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import time
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import traceback
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from datetime import datetime
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from src.chat.message_receive.chat_manager import BotChatSession
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from src.chat.message_receive.chat_manager import chat_manager as _chat_manager
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from src.chat.message_receive.message import SessionMessage
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from src.chat.utils.utils import calculate_typing_time, get_bot_account
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from src.common.data_models.mai_message_data_model import GroupInfo, MaiMessage, MessageInfo, UserInfo
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from src.common.data_models.message_component_data_model import (
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AtComponent,
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DictComponent,
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EmojiComponent,
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ForwardNodeComponent,
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ImageComponent,
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MessageSequence,
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ReplyComponent,
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StandardMessageComponents,
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TextComponent,
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VoiceComponent,
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)
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from src.common.logger import get_logger
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from src.common.utils.utils_message import MessageUtils
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from src.config.config import global_config
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from src.platform_io import DeliveryBatch, get_platform_io_manager
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from src.platform_io.route_key_factory import RouteKeyFactory
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logger = get_logger("send_service")
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def _inherit_platform_io_route_metadata(target_stream: BotChatSession) -> Dict[str, object]:
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"""从目标会话继承 Platform IO 路由元数据。
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Args:
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target_stream: 当前消息要发送到的会话对象。
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Returns:
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Dict[str, object]: 可安全透传到出站消息 ``additional_config`` 中的
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路由辅助字段。
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"""
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inherited_metadata: Dict[str, object] = {}
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context_message = target_stream.context.message if target_stream.context else None
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if context_message is not None:
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additional_config = context_message.message_info.additional_config
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if isinstance(additional_config, dict):
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for key in (*RouteKeyFactory.ACCOUNT_ID_KEYS, *RouteKeyFactory.SCOPE_KEYS):
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value = additional_config.get(key)
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if value is None:
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continue
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normalized_value = str(value).strip()
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if normalized_value:
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inherited_metadata[key] = value
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# 当目标会话没有可继承的上下文消息时，至少补齐当前平台账号，
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# 让按 ``platform + account_id`` 绑定的路由仍有机会命中。
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if not RouteKeyFactory.extract_components(inherited_metadata)[0]:
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bot_account = get_bot_account(target_stream.platform)
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if bot_account:
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inherited_metadata["platform_io_account_id"] = bot_account
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if target_stream.group_id and (normalized_group_id := str(target_stream.group_id).strip()):
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inherited_metadata["platform_io_target_group_id"] = normalized_group_id
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if target_stream.user_id and (normalized_user_id := str(target_stream.user_id).strip()):
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inherited_metadata["platform_io_target_user_id"] = normalized_user_id
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return inherited_metadata
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def _build_binary_component_from_base64(component_type: str, raw_data: str) -> StandardMessageComponents:
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"""根据 Base64 数据构造二进制消息组件。
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Args:
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component_type: 组件类型名称。
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raw_data: Base64 编码后的二进制数据。
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Returns:
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StandardMessageComponents: 转换后的内部消息组件。
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Raises:
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ValueError: 当组件类型不受支持时抛出。
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"""
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binary_data = base64.b64decode(raw_data)
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binary_hash = hashlib.sha256(binary_data).hexdigest()
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if component_type == "image":
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return ImageComponent(binary_hash=binary_hash, binary_data=binary_data)
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if component_type == "emoji":
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return EmojiComponent(binary_hash=binary_hash, binary_data=binary_data)
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if component_type == "voice":
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return VoiceComponent(binary_hash=binary_hash, binary_data=binary_data)
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raise ValueError(f"不支持的二进制组件类型: {component_type}")
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def _build_message_sequence_from_custom_message(
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message_type: str,
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content: str | Dict[str, Any],
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) -> MessageSequence:
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"""根据自定义消息类型构造内部消息组件序列。
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Args:
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message_type: 自定义消息类型。
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content: 自定义消息内容。
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Returns:
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MessageSequence: 转换后的消息组件序列。
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"""
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normalized_type = message_type.strip().lower()
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if normalized_type == "text":
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return MessageSequence(components=[TextComponent(text=str(content))])
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if normalized_type in {"image", "emoji", "voice"}:
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return MessageSequence(
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components=[_build_binary_component_from_base64(normalized_type, str(content))]
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)
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if normalized_type == "at":
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return MessageSequence(components=[AtComponent(target_user_id=str(content))])
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if normalized_type == "reply":
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return MessageSequence(components=[ReplyComponent(target_message_id=str(content))])
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if normalized_type == "dict" and isinstance(content, dict):
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return MessageSequence(components=[DictComponent(data=deepcopy(content))])
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return MessageSequence(
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components=[
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DictComponent(
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data={
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"type": normalized_type,
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"data": deepcopy(content),
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}
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)
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]
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)
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def _clone_message_sequence(message_sequence: MessageSequence) -> MessageSequence:
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"""复制消息组件序列，避免原对象被发送流程修改。
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Args:
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message_sequence: 原始消息组件序列。
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Returns:
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MessageSequence: 深拷贝后的消息组件序列。
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"""
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return deepcopy(message_sequence)
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def _detect_outbound_message_flags(message_sequence: MessageSequence) -> Dict[str, bool]:
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"""根据消息组件序列推断出站消息标记。
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Args:
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message_sequence: 待发送的消息组件序列。
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Returns:
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Dict[str, bool]: 包含 ``is_emoji``、``is_picture``、``is_command`` 的标记字典。
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"""
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if len(message_sequence.components) != 1:
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return {
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"is_emoji": False,
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"is_picture": False,
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"is_command": False,
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}
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component = message_sequence.components[0]
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is_command = False
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if isinstance(component, DictComponent) and isinstance(component.data, dict):
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is_command = str(component.data.get("type") or "").strip().lower() == "command"
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return {
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"is_emoji": isinstance(component, EmojiComponent),
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"is_picture": isinstance(component, ImageComponent),
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"is_command": is_command,
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}
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def _describe_message_sequence(message_sequence: MessageSequence) -> str:
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"""生成消息组件序列的简短描述文本。
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Args:
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message_sequence: 待描述的消息组件序列。
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Returns:
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str: 适用于日志的简短类型描述。
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"""
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if len(message_sequence.components) != 1:
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return "message_sequence"
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component = message_sequence.components[0]
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if isinstance(component, DictComponent) and isinstance(component.data, dict):
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custom_type = str(component.data.get("type") or "").strip()
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return custom_type or "dict"
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if isinstance(component, TextComponent):
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return component.format_name
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if isinstance(component, ImageComponent):
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return component.format_name
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if isinstance(component, EmojiComponent):
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return component.format_name
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if isinstance(component, VoiceComponent):
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return component.format_name
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if isinstance(component, AtComponent):
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return component.format_name
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if isinstance(component, ReplyComponent):
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return component.format_name
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if isinstance(component, ForwardNodeComponent):
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return component.format_name
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return "unknown"
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def _build_processed_plain_text(message: SessionMessage) -> str:
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"""为出站消息构造轻量纯文本摘要。
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Args:
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message: 待发送的内部消息对象。
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Returns:
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str: 适用于日志与打字时长估算的纯文本摘要。
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"""
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processed_parts: List[str] = []
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for component in message.raw_message.components:
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if isinstance(component, TextComponent):
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processed_parts.append(component.text)
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continue
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if isinstance(component, ImageComponent):
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processed_parts.append(component.content or "[图片]")
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continue
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if isinstance(component, EmojiComponent):
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processed_parts.append(component.content or "[表情]")
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continue
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if isinstance(component, VoiceComponent):
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processed_parts.append(component.content or "[语音]")
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continue
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if isinstance(component, AtComponent):
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at_target = component.target_user_cardname or component.target_user_nickname or component.target_user_id
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processed_parts.append(f"@{at_target}")
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continue
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if isinstance(component, ReplyComponent):
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processed_parts.append(component.target_message_content or "[回复消息]")
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continue
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if isinstance(component, DictComponent):
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raw_type = component.data.get("type") if isinstance(component.data, dict) else None
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if isinstance(raw_type, str) and raw_type.strip():
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processed_parts.append(f"[{raw_type.strip()}消息]")
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else:
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processed_parts.append("[自定义消息]")
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continue
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return " ".join(part for part in processed_parts if part)
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def _build_outbound_log_preview(message: SessionMessage, max_length: int = 160) -> str:
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"""构造出站消息的日志预览文本。
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Args:
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message: 待发送的内部消息对象。
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max_length: 预览文本最大长度。
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Returns:
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str: 适用于日志展示的消息摘要。
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"""
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preview_text = (message.processed_plain_text or message.display_message or "").strip()
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if not preview_text:
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preview_text = f"[{_describe_message_sequence(message.raw_message)}]"
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normalized_preview = " ".join(preview_text.split())
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if len(normalized_preview) <= max_length:
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return normalized_preview
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return f"{normalized_preview[:max_length]}..."
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def _build_outbound_session_message(
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message_sequence: MessageSequence,
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stream_id: str,
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display_message: str = "",
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reply_message: Optional[MaiMessage] = None,
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selected_expressions: Optional[List[int]] = None,
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) -> Optional[SessionMessage]:
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"""根据目标会话构建待发送的内部消息对象。
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Args:
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message_sequence: 待发送的消息组件序列。
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stream_id: 目标会话 ID。
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display_message: 用于界面展示的文本内容。
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reply_message: 被回复的锚点消息。
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selected_expressions: 可选的表情候选索引列表。
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Returns:
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Optional[SessionMessage]: 构建成功时返回内部消息对象；若目标会话或
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机器人账号不存在，则返回 ``None``。
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"""
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target_stream = _chat_manager.get_session_by_session_id(stream_id)
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if target_stream is None:
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logger.error(f"[SendService] 未找到聊天流: {stream_id}")
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return None
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bot_user_id = get_bot_account(target_stream.platform)
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if not bot_user_id:
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logger.error(f"[SendService] 平台 {target_stream.platform} 未配置机器人账号，无法发送消息")
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return None
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current_time = time.time()
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message_id = f"send_api_{int(current_time * 1000)}"
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anchor_message = reply_message.deepcopy() if reply_message is not None else None
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group_info: Optional[GroupInfo] = None
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if target_stream.group_id:
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group_name = ""
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if (
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target_stream.context
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and target_stream.context.message
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and target_stream.context.message.message_info.group_info
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):
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group_name = target_stream.context.message.message_info.group_info.group_name
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group_info = GroupInfo(
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group_id=target_stream.group_id,
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group_name=group_name,
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)
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additional_config: Dict[str, object] = _inherit_platform_io_route_metadata(target_stream)
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if selected_expressions is not None:
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additional_config["selected_expressions"] = selected_expressions
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outbound_message = SessionMessage(
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message_id=message_id,
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timestamp=datetime.fromtimestamp(current_time),
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platform=target_stream.platform,
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)
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outbound_message.message_info = MessageInfo(
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user_info=UserInfo(
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user_id=bot_user_id,
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user_nickname=global_config.bot.nickname,
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),
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group_info=group_info,
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additional_config=additional_config,
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)
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outbound_message.raw_message = _clone_message_sequence(message_sequence)
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outbound_message.session_id = target_stream.session_id
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outbound_message.display_message = display_message
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outbound_message.reply_to = anchor_message.message_id if anchor_message is not None else None
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message_flags = _detect_outbound_message_flags(outbound_message.raw_message)
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outbound_message.is_emoji = message_flags["is_emoji"]
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outbound_message.is_picture = message_flags["is_picture"]
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outbound_message.is_command = message_flags["is_command"]
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outbound_message.initialized = True
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return outbound_message
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def _ensure_reply_component(message: SessionMessage, reply_message_id: str) -> None:
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"""为消息补充回复组件。
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Args:
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message: 待发送的内部消息对象。
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reply_message_id: 被引用消息的 ID。
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"""
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if message.raw_message.components:
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first_component = message.raw_message.components[0]
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if isinstance(first_component, ReplyComponent) and first_component.target_message_id == reply_message_id:
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return
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message.raw_message.components.insert(0, ReplyComponent(target_message_id=reply_message_id))
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async def _prepare_message_for_platform_io(
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message: SessionMessage,
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*,
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typing: bool,
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set_reply: bool,
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reply_message_id: Optional[str],
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) -> None:
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"""为 Platform IO 发送链预处理消息。
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Args:
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message: 待发送的内部消息对象。
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typing: 是否模拟打字等待。
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set_reply: 是否构建引用回复组件。
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reply_message_id: 被引用消息的 ID。
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Raises:
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ValueError: 当要求设置引用回复但缺少 ``reply_message_id`` 时抛出。
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"""
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if set_reply:
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if not reply_message_id:
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raise ValueError("set_reply=True 时必须提供 reply_message_id")
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_ensure_reply_component(message, reply_message_id)
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message.processed_plain_text = _build_processed_plain_text(message)
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if typing:
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typing_time = calculate_typing_time(
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input_string=message.processed_plain_text or "",
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is_emoji=message.is_emoji,
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)
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await asyncio.sleep(typing_time)
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def _store_sent_message(message: SessionMessage) -> None:
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"""将已成功发送的消息写入数据库。
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|
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Args:
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message: 已成功发送的内部消息对象。
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"""
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MessageUtils.store_message_to_db(message)
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async def _notify_memory_automation_on_message_sent(message: SessionMessage) -> None:
|
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"""在发送成功后通知长期记忆自动化服务。
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|
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Args:
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message: 已成功发送的内部消息对象。
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"""
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try:
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from src.services.memory_flow_service import memory_automation_service
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await memory_automation_service.on_message_sent(message)
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except Exception as exc:
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session_id = message.session_id or "unknown-session"
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logger.warning(f"[{session_id}] 长期记忆人物事实写回注册失败: {exc}")
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def _log_platform_io_failures(delivery_batch: DeliveryBatch) -> None:
|
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"""输出 Platform IO 批量发送失败详情。
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|
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Args:
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delivery_batch: Platform IO 返回的批量回执。
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"""
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failed_details = "; ".join(
|
||
f"driver={receipt.driver_id} status={receipt.status} error={receipt.error}"
|
||
for receipt in delivery_batch.failed_receipts
|
||
) or "未命中任何发送路由"
|
||
logger.warning(f"[SendService] Platform IO 发送失败: platform={delivery_batch.route_key.platform} {failed_details}")
|
||
|
||
|
||
async def _send_via_platform_io(
|
||
message: SessionMessage,
|
||
*,
|
||
typing: bool,
|
||
set_reply: bool,
|
||
reply_message_id: Optional[str],
|
||
storage_message: bool,
|
||
show_log: bool,
|
||
) -> bool:
|
||
"""通过 Platform IO 发送消息。
|
||
|
||
Args:
|
||
message: 待发送的内部消息对象。
|
||
typing: 是否模拟打字等待。
|
||
set_reply: 是否设置引用回复。
|
||
reply_message_id: 被引用消息的 ID。
|
||
storage_message: 发送成功后是否写入数据库。
|
||
show_log: 是否输出发送成功日志。
|
||
|
||
Returns:
|
||
bool: 发送成功时返回 ``True``。
|
||
"""
|
||
platform_io_manager = get_platform_io_manager()
|
||
try:
|
||
await platform_io_manager.ensure_send_pipeline_ready()
|
||
except Exception as exc:
|
||
logger.error(f"[SendService] 准备 Platform IO 发送管线失败: {exc}")
|
||
logger.debug(traceback.format_exc())
|
||
return False
|
||
|
||
try:
|
||
route_key = platform_io_manager.build_route_key_from_message(message)
|
||
except Exception as exc:
|
||
logger.warning(f"[SendService] 根据消息构造 Platform IO 路由键失败: {exc}")
|
||
return False
|
||
|
||
try:
|
||
await _prepare_message_for_platform_io(
|
||
message,
|
||
typing=typing,
|
||
set_reply=set_reply,
|
||
reply_message_id=reply_message_id,
|
||
)
|
||
delivery_batch = await platform_io_manager.send_message(
|
||
message,
|
||
route_key,
|
||
metadata={"show_log": False},
|
||
)
|
||
except Exception as exc:
|
||
logger.error(f"[SendService] Platform IO 发送异常: {exc}")
|
||
logger.debug(traceback.format_exc())
|
||
return False
|
||
|
||
if delivery_batch.has_success:
|
||
if storage_message:
|
||
_store_sent_message(message)
|
||
await _notify_memory_automation_on_message_sent(message)
|
||
if show_log:
|
||
successful_driver_ids = [
|
||
receipt.driver_id or "unknown"
|
||
for receipt in delivery_batch.sent_receipts
|
||
]
|
||
logger.info(
|
||
f"[SendService] 已通过 Platform IO 将消息发往平台 '{route_key.platform}' "
|
||
f"(drivers: {', '.join(successful_driver_ids)}) "
|
||
f"message={_build_outbound_log_preview(message)}"
|
||
)
|
||
return True
|
||
|
||
_log_platform_io_failures(delivery_batch)
|
||
return False
|
||
|
||
|
||
async def send_session_message(
|
||
message: SessionMessage,
|
||
*,
|
||
typing: bool = False,
|
||
set_reply: bool = False,
|
||
reply_message_id: Optional[str] = None,
|
||
storage_message: bool = True,
|
||
show_log: bool = True,
|
||
) -> bool:
|
||
"""统一发送一条内部消息。
|
||
|
||
该方法是内部模块的统一发送入口：
|
||
|
||
1. 构造并维护内部消息对象。
|
||
2. 由 Platform IO 统一决定走插件链还是 legacy 旧链。
|
||
3. send service 不再自行判断底层发送路径。
|
||
|
||
Args:
|
||
message: 待发送的内部消息对象。
|
||
typing: 是否模拟打字等待。
|
||
set_reply: 是否设置引用回复。
|
||
reply_message_id: 被引用消息的 ID。
|
||
storage_message: 发送成功后是否写入数据库。
|
||
show_log: 是否输出发送日志。
|
||
|
||
Returns:
|
||
bool: 发送成功时返回 ``True``，否则返回 ``False``。
|
||
"""
|
||
if not message.message_id:
|
||
logger.error("[SendService] 消息缺少 message_id，无法发送")
|
||
raise ValueError("消息缺少 message_id，无法发送")
|
||
|
||
return await _send_via_platform_io(
|
||
message,
|
||
typing=typing,
|
||
set_reply=set_reply,
|
||
reply_message_id=reply_message_id,
|
||
storage_message=storage_message,
|
||
show_log=show_log,
|
||
)
|
||
|
||
|
||
async def _send_to_target(
|
||
message_sequence: MessageSequence,
|
||
stream_id: str,
|
||
display_message: str = "",
|
||
typing: bool = False,
|
||
set_reply: bool = False,
|
||
reply_message: Optional[MaiMessage] = None,
|
||
storage_message: bool = True,
|
||
show_log: bool = True,
|
||
selected_expressions: Optional[List[int]] = None,
|
||
) -> bool:
|
||
"""向指定目标构建并发送消息。
|
||
|
||
Args:
|
||
message_sequence: 待发送的消息组件序列。
|
||
stream_id: 目标会话 ID。
|
||
display_message: 用于界面展示的文本内容。
|
||
typing: 是否显示输入中状态。
|
||
set_reply: 是否在发送时附带引用回复。
|
||
reply_message: 被回复的消息对象。
|
||
storage_message: 是否将发送结果写入消息存储。
|
||
show_log: 是否输出发送日志。
|
||
selected_expressions: 可选的表情候选索引列表。
|
||
|
||
Returns:
|
||
bool: 发送成功返回 ``True``，否则返回 ``False``。
|
||
"""
|
||
try:
|
||
if set_reply and reply_message is None:
|
||
logger.warning("[SendService] 使用引用回复，但未提供回复消息")
|
||
return False
|
||
|
||
if show_log:
|
||
logger.debug(f"[SendService] 发送{_describe_message_sequence(message_sequence)}消息到 {stream_id}")
|
||
|
||
outbound_message = _build_outbound_session_message(
|
||
message_sequence=message_sequence,
|
||
stream_id=stream_id,
|
||
display_message=display_message,
|
||
reply_message=reply_message,
|
||
selected_expressions=selected_expressions,
|
||
)
|
||
if outbound_message is None:
|
||
return False
|
||
|
||
sent = await send_session_message(
|
||
outbound_message,
|
||
typing=typing,
|
||
set_reply=set_reply,
|
||
reply_message_id=reply_message.message_id if reply_message is not None else None,
|
||
storage_message=storage_message,
|
||
show_log=show_log,
|
||
)
|
||
if sent:
|
||
logger.debug(f"[SendService] 成功发送消息到 {stream_id}")
|
||
return True
|
||
|
||
logger.error("[SendService] 发送消息失败")
|
||
return False
|
||
except Exception as exc:
|
||
logger.error(f"[SendService] 发送消息时出错: {exc}")
|
||
traceback.print_exc()
|
||
return False
|
||
|
||
|
||
async def text_to_stream(
|
||
text: str,
|
||
stream_id: str,
|
||
typing: bool = False,
|
||
set_reply: bool = False,
|
||
reply_message: Optional[MaiMessage] = None,
|
||
storage_message: bool = True,
|
||
selected_expressions: Optional[List[int]] = None,
|
||
) -> bool:
|
||
"""向指定流发送文本消息。
|
||
|
||
Args:
|
||
text: 要发送的文本内容。
|
||
stream_id: 目标会话 ID。
|
||
typing: 是否显示输入中状态。
|
||
set_reply: 是否附带引用回复。
|
||
reply_message: 被回复的消息对象。
|
||
storage_message: 是否在发送成功后写入数据库。
|
||
selected_expressions: 可选的表情候选索引列表。
|
||
|
||
Returns:
|
||
bool: 发送成功时返回 ``True``。
|
||
"""
|
||
return await _send_to_target(
|
||
message_sequence=MessageSequence(components=[TextComponent(text=text)]),
|
||
stream_id=stream_id,
|
||
display_message="",
|
||
typing=typing,
|
||
set_reply=set_reply,
|
||
reply_message=reply_message,
|
||
storage_message=storage_message,
|
||
selected_expressions=selected_expressions,
|
||
)
|
||
|
||
|
||
async def emoji_to_stream(
|
||
emoji_base64: str,
|
||
stream_id: str,
|
||
storage_message: bool = True,
|
||
set_reply: bool = False,
|
||
reply_message: Optional[MaiMessage] = None,
|
||
) -> bool:
|
||
"""向指定流发送表情消息。
|
||
|
||
Args:
|
||
emoji_base64: 表情图片的 Base64 内容。
|
||
stream_id: 目标会话 ID。
|
||
storage_message: 是否在发送成功后写入数据库。
|
||
set_reply: 是否附带引用回复。
|
||
reply_message: 被回复的消息对象。
|
||
|
||
Returns:
|
||
bool: 发送成功时返回 ``True``。
|
||
"""
|
||
return await _send_to_target(
|
||
message_sequence=_build_message_sequence_from_custom_message("emoji", emoji_base64),
|
||
stream_id=stream_id,
|
||
display_message="",
|
||
typing=False,
|
||
storage_message=storage_message,
|
||
set_reply=set_reply,
|
||
reply_message=reply_message,
|
||
)
|
||
|
||
|
||
async def image_to_stream(
|
||
image_base64: str,
|
||
stream_id: str,
|
||
storage_message: bool = True,
|
||
set_reply: bool = False,
|
||
reply_message: Optional[MaiMessage] = None,
|
||
) -> bool:
|
||
"""向指定流发送图片消息。
|
||
|
||
Args:
|
||
image_base64: 图片的 Base64 内容。
|
||
stream_id: 目标会话 ID。
|
||
storage_message: 是否在发送成功后写入数据库。
|
||
set_reply: 是否附带引用回复。
|
||
reply_message: 被回复的消息对象。
|
||
|
||
Returns:
|
||
bool: 发送成功时返回 ``True``。
|
||
"""
|
||
return await _send_to_target(
|
||
message_sequence=_build_message_sequence_from_custom_message("image", image_base64),
|
||
stream_id=stream_id,
|
||
display_message="",
|
||
typing=False,
|
||
storage_message=storage_message,
|
||
set_reply=set_reply,
|
||
reply_message=reply_message,
|
||
)
|
||
|
||
|
||
async def custom_to_stream(
|
||
message_type: str,
|
||
content: str | Dict[str, Any],
|
||
stream_id: str,
|
||
display_message: str = "",
|
||
typing: bool = False,
|
||
reply_message: Optional[MaiMessage] = None,
|
||
set_reply: bool = False,
|
||
storage_message: bool = True,
|
||
show_log: bool = True,
|
||
) -> bool:
|
||
"""向指定流发送自定义类型消息。
|
||
|
||
Args:
|
||
message_type: 自定义消息类型。
|
||
content: 自定义消息内容。
|
||
stream_id: 目标会话 ID。
|
||
display_message: 用于展示的文本内容。
|
||
typing: 是否显示输入中状态。
|
||
reply_message: 被回复的消息对象。
|
||
set_reply: 是否附带引用回复。
|
||
storage_message: 是否在发送成功后写入数据库。
|
||
show_log: 是否输出发送日志。
|
||
|
||
Returns:
|
||
bool: 发送成功时返回 ``True``。
|
||
"""
|
||
return await _send_to_target(
|
||
message_sequence=_build_message_sequence_from_custom_message(message_type, content),
|
||
stream_id=stream_id,
|
||
display_message=display_message,
|
||
typing=typing,
|
||
reply_message=reply_message,
|
||
set_reply=set_reply,
|
||
storage_message=storage_message,
|
||
show_log=show_log,
|
||
)
|
||
|
||
|
||
async def custom_reply_set_to_stream(
|
||
reply_set: MessageSequence,
|
||
stream_id: str,
|
||
display_message: str = "",
|
||
typing: bool = False,
|
||
reply_message: Optional[MaiMessage] = None,
|
||
set_reply: bool = False,
|
||
storage_message: bool = True,
|
||
show_log: bool = True,
|
||
) -> bool:
|
||
"""向指定流发送消息组件序列。
|
||
|
||
Args:
|
||
reply_set: 待发送的消息组件序列。
|
||
stream_id: 目标会话 ID。
|
||
display_message: 用于展示的文本内容。
|
||
typing: 是否显示输入中状态。
|
||
reply_message: 被回复的消息对象。
|
||
set_reply: 是否附带引用回复。
|
||
storage_message: 是否在发送成功后写入数据库。
|
||
show_log: 是否输出发送日志。
|
||
|
||
Returns:
|
||
bool: 发送成功时返回 ``True``。
|
||
"""
|
||
return await _send_to_target(
|
||
message_sequence=reply_set,
|
||
stream_id=stream_id,
|
||
display_message=display_message,
|
||
typing=typing,
|
||
reply_message=reply_message,
|
||
set_reply=set_reply,
|
||
storage_message=storage_message,
|
||
show_log=show_log,
|
||
)
|