feat:maisak正确解析图片原始数据,reply信息

This commit is contained in:
SengokuCola
2026-04-03 17:22:53 +08:00
parent b74b60cb1a
commit fc753f7e9f
11 changed files with 237 additions and 61 deletions

View File

@@ -44,6 +44,12 @@ class ImageManager:
logger.info("图片管理器初始化完成")
def _get_image_record(self, image_hash: str) -> Optional[Images]:
"""根据哈希获取图片记录。"""
with get_db_session() as session:
statement = select(Images).filter_by(image_hash=image_hash, image_type=ImageType.IMAGE).limit(1)
return session.exec(statement).first()
async def get_image_description(
self,
*,
@@ -76,9 +82,8 @@ class ImageManager:
hash_str = hashlib.sha256(image_bytes).hexdigest()
try:
with get_db_session() as session:
statement = select(Images).filter_by(image_hash=hash_str, image_type=ImageType.IMAGE).limit(1)
if record := session.exec(statement).first():
if record := self._get_image_record(hash_str):
if record.vlm_processed and record.description:
return record.description
except Exception as e:
logger.error(f"查询图片描述时发生错误: {e}")
@@ -86,12 +91,17 @@ class ImageManager:
if not image_bytes:
logger.warning("图片哈希值未找到,且未提供图片字节数据,返回无描述")
return ""
try:
await self.ensure_image_saved(image_bytes)
except Exception as e:
logger.error(f"保存图片文件时发生错误: {e}")
return ""
if not wait_for_build:
self._schedule_description_build(hash_str, image_bytes)
return ""
logger.info(f"图片描述未找到,哈希值: {hash_str},准备生成新描述")
try:
image = await self.save_image_and_process(image_bytes)
image = await self.build_image_description(image_bytes)
return image.description
except Exception as e:
logger.error(f"生成图片描述时发生错误: {e}")
@@ -120,7 +130,7 @@ class ImageManager:
"""
try:
logger.info(f"图片描述后台构建已开始,哈希值: {image_hash}")
await self.save_image_and_process(image_bytes)
await self.build_image_description(image_bytes)
logger.info(f"图片描述后台构建完成,哈希值: {image_hash}")
except Exception as exc:
logger.warning(f"图片描述后台构建失败,哈希值: {image_hash},错误: {exc}")
@@ -201,6 +211,7 @@ class ImageManager:
return False
record.description = image.description
record.last_used_time = datetime.now()
record.vlm_processed = image.vlm_processed
session.add(record)
logger.info(f"成功更新图片描述: {image.file_hash},新描述: {image.description}")
except Exception as e:
@@ -239,22 +250,13 @@ class ImageManager:
return False
return True
async def save_image_and_process(self, image_bytes: bytes) -> MaiImage:
"""
保存图片并生成描述
Args:
image_bytes (bytes): 图片的字节数据
Returns:
return (MaiImage): 包含图片信息的 MaiImage 对象
Raises:
Exception: 如果在保存或处理过程中发生错误
"""
async def ensure_image_saved(self, image_bytes: bytes) -> MaiImage:
"""先保存图片记录,确保后续可以按哈希回填图片内容。"""
hash_str = hashlib.sha256(image_bytes).hexdigest()
try:
with get_db_session() as session:
statement = select(Images).filter_by(image_hash=hash_str).limit(1)
statement = select(Images).filter_by(image_hash=hash_str, image_type=ImageType.IMAGE).limit(1)
if record := session.exec(statement).first():
logger.info(f"图片已存在于数据库中,哈希值: {hash_str}")
record.last_used_time = datetime.now()
@@ -270,18 +272,38 @@ class ImageManager:
tmp_file_path = IMAGE_DIR / f"{hash_str}.tmp"
with tmp_file_path.open("wb") as f:
f.write(image_bytes)
mai_image = MaiImage(full_path=(IMAGE_DIR / f"{hash_str}.tmp"), image_bytes=image_bytes)
mai_image = MaiImage(full_path=tmp_file_path, image_bytes=image_bytes)
await mai_image.calculate_hash_format()
if not self.register_image_to_db(mai_image):
raise RuntimeError(f"保存图片记录到数据库失败: {hash_str}")
return mai_image
async def build_image_description(self, image_bytes: bytes) -> MaiImage:
"""在图片已保存的前提下生成或补齐图片描述。"""
mai_image = await self.ensure_image_saved(image_bytes)
if mai_image.vlm_processed and mai_image.description:
return mai_image
desc = await self._generate_image_description(image_bytes, mai_image.image_format)
mai_image.description = desc
mai_image.vlm_processed = True
try:
self.register_image_to_db(mai_image)
except Exception as e:
logger.error(f"保存新图片记录到数据库时发生错误: {e}")
raise e
if not self.update_image_description(mai_image):
raise RuntimeError(f"更新图片描述失败: {mai_image.file_hash}")
return mai_image
async def save_image_and_process(self, image_bytes: bytes) -> MaiImage:
"""
保存图片并生成描述
Args:
image_bytes (bytes): 图片的字节数据
Returns:
return (MaiImage): 包含图片信息的 MaiImage 对象
Raises:
Exception: 如果在保存或处理过程中发生错误
"""
return await self.build_image_description(image_bytes)
def cleanup_invalid_descriptions_in_db(self):
"""
清理数据库中无效的图片记录

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@@ -1,7 +1,6 @@
"""聊天消息入口与主链路调度。"""
from contextlib import suppress
from copy import deepcopy
from typing import Any, Dict, List, Optional
import os
@@ -550,9 +549,9 @@ class ChatBot:
# if await self.handle_notice_message(message):
# pass
# 处理消息内容,识别表情包等二进制数据并转化为文本描述
if global_config.maisaka.direct_image_input:
message.maisaka_original_raw_message = deepcopy(message.raw_message) # type: ignore[attr-defined]
# 处理消息内容,识别表情包等二进制数据并转化为文本描述
# 如果 Maisaka 需要直接消费图片,会在后续构建 prompt 时按需回填图片二进制数据,
# 这里不再复制整条原始消息。
# 入站主链优先保证消息尽快入队,避免图片、表情包、语音分析阻塞适配器超时。
await message.process(
enable_heavy_media_analysis=False,

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@@ -1,11 +1,10 @@
import asyncio
from asyncio import Task
from typing import Dict, List, Sequence, Tuple
from rich.traceback import install
from sqlmodel import select
import asyncio
from src.common.logger import get_logger
from src.common.database.database import get_db_session
from src.common.database.database_model import Messages
@@ -36,6 +35,102 @@ class MsgIDMapping:
class SessionMessage(MaiMessage):
#便于调试的打印函数
def __str__(self) -> str:
"""返回适合日志输出的消息摘要。"""
return self.to_debug_string()
def __repr__(self) -> str:
"""返回适合调试场景的消息摘要。"""
return self.to_debug_string()
def to_debug_string(self) -> str:
"""构建包含引用信息的调试字符串。
Returns:
str: 适合记录日志的消息摘要。
"""
user_info = self.message_info.user_info
group_info = self.message_info.group_info
chat_type = "group" if group_info else "private"
group_id = group_info.group_id if group_info else None
group_name = group_info.group_name if group_info else None
component_summaries = [self._summarize_component(component) for component in self.raw_message.components]
raw_components = ", ".join(component_summaries) if component_summaries else "empty"
return (
"SessionMessage("
f"message_id={self.message_id!r}, "
f"platform={self.platform!r}, "
f"chat_type={chat_type!r}, "
f"group_id={group_id!r}, "
f"group_name={group_name!r}, "
f"user_id={user_info.user_id!r}, "
f"user_nickname={user_info.user_nickname!r}, "
f"user_cardname={user_info.user_cardname!r}, "
f"reply_to={self.reply_to!r}, "
f"processed_plain_text={self._truncate_text(self.processed_plain_text)}, "
f"raw_components=[{raw_components}]"
")"
)
@staticmethod
def _truncate_text(text: str | None, max_length: int = 120) -> str:
"""截断较长文本,避免日志过长。
Args:
text: 原始文本。
max_length: 最大保留长度。
Returns:
str: 截断后的文本表示。
"""
if text is None:
return "None"
normalized_text = text.replace("\r", "\\r").replace("\n", "\\n")
if len(normalized_text) <= max_length:
return repr(normalized_text)
return repr(f"{normalized_text[:max_length]}...")
def _summarize_component(self, component: StandardMessageComponents) -> str:
"""生成单个消息组件的调试摘要。
Args:
component: 消息组件对象。
Returns:
str: 组件摘要文本。
"""
if isinstance(component, TextComponent):
return f"Text(text={self._truncate_text(component.text, 80)})"
if isinstance(component, ImageComponent):
return f"Image(content={self._truncate_text(component.content or None, 60)})"
if isinstance(component, EmojiComponent):
return f"Emoji(content={self._truncate_text(component.content or None, 60)})"
if isinstance(component, AtComponent):
target_name = component.target_user_cardname or component.target_user_nickname or component.target_user_id
return f"At(target={target_name!r})"
if isinstance(component, VoiceComponent):
return f"Voice(content={self._truncate_text(component.content or None, 60)})"
if isinstance(component, ReplyComponent):
sender_name = (
component.target_message_sender_cardname
or component.target_message_sender_nickname
or component.target_message_sender_id
)
return (
"Reply("
f"target_message_id={component.target_message_id!r}, "
f"target_sender={sender_name!r}, "
f"target_content={self._truncate_text(component.target_message_content, 80)}"
")"
)
if isinstance(component, ForwardNodeComponent):
return f"ForwardNode(count={len(component.forward_components)})"
return f"{component.__class__.__name__}"
#便于调试的打印函数end
async def process(
self,
*,

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@@ -35,7 +35,7 @@ from src.services import llm_service as llm_api
from src.chat.logger.plan_reply_logger import PlanReplyLogger
from src.memory_system.memory_retrieval import init_memory_retrieval_sys, build_memory_retrieval_prompt
from src.learners.jargon_explainer_old import explain_jargon_in_context, retrieve_concepts_with_jargon
from src.learners.jargon_explainer_old import explain_jargon_in_context
from src.chat.utils.common_utils import TempMethodsExpression
init_memory_retrieval_sys()

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@@ -15,7 +15,6 @@ from src.common.database.database import get_db_session
from src.common.database.database_model import Messages, ModelUsage, OnlineTime, ToolRecord
from src.manager.async_task_manager import AsyncTask
from src.manager.local_store_manager import local_storage
from src.config.config import global_config
logger = get_logger("maibot_statistic")

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@@ -6,7 +6,6 @@ from base64 import b64decode
from datetime import datetime
from typing import TYPE_CHECKING, Any, Dict, List, Optional
from src.chat.message_receive.message import SessionMessage
from src.chat.utils.utils import process_llm_response
from src.common.data_models.message_component_data_model import EmojiComponent, MessageSequence, TextComponent
from src.config.config import global_config

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@@ -15,7 +15,6 @@ from rich.panel import Panel
from src.cli.console import console
from src.common.data_models.llm_service_data_models import LLMGenerationOptions
from src.common.data_models.message_component_data_model import MessageSequence, TextComponent
from src.common.logger import get_logger
from src.common.prompt_i18n import load_prompt
from src.common.utils.utils_session import SessionUtils
@@ -38,9 +37,7 @@ from src.plugin_runtime.host.hook_spec_registry import HookSpec, HookSpecRegistr
from src.services.llm_service import LLMServiceClient
from .builtin_tool import get_builtin_tools
from .context_messages import AssistantMessage, LLMContextMessage, SessionBackedMessage, ToolResultMessage
from .message_adapter import format_speaker_content
from .planner_message_utils import build_session_backed_text_message
from .context_messages import AssistantMessage, LLMContextMessage, ToolResultMessage
from .prompt_cli_renderer import PromptCLIVisualizer
@@ -324,7 +321,7 @@ class MaisakaChatLoopService:
if not prompt_lines:
return ""
return f"在该聊天中的注意事项:\n" + "\n\n".join(prompt_lines) + "\n"
return "在该聊天中的注意事项:\n" + "\n\n".join(prompt_lines) + "\n"
@staticmethod
def _get_chat_prompt_for_chat(chat_id: str, is_group_chat: Optional[bool]) -> str:

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@@ -11,7 +11,13 @@ import base64
from PIL import Image as PILImage
from src.chat.message_receive.message import SessionMessage
from src.common.data_models.message_component_data_model import EmojiComponent, ImageComponent, MessageSequence, TextComponent
from src.common.data_models.message_component_data_model import (
EmojiComponent,
ImageComponent,
MessageSequence,
ReplyComponent,
TextComponent,
)
from src.llm_models.payload_content.message import Message, MessageBuilder, RoleType
from src.llm_models.payload_content.tool_option import ToolCall
@@ -27,11 +33,42 @@ def _guess_image_format(image_bytes: bytes) -> Optional[str]:
return None
def _build_binary_component_type_text(component: EmojiComponent | ImageComponent) -> str:
"""为图片类消息组件构造显式的消息类型标记"""
if isinstance(component, EmojiComponent):
return "[消息类型]表情包"
return "[消息类型]图片"
def _append_emoji_component(builder: MessageBuilder, component: EmojiComponent) -> bool:
"""将表情组件追加到 LLM 消息构建器"""
image_format = _guess_image_format(component.binary_data)
if image_format and component.binary_data:
builder.add_text_content("[消息类型]表情包")
builder.add_image_content(image_format, base64.b64encode(component.binary_data).decode("utf-8"))
return True
if component.content:
builder.add_text_content(component.content)
return True
return False
def _append_image_component(builder: MessageBuilder, component: ImageComponent) -> bool:
"""将图片组件追加到 LLM 消息构建器。"""
image_format = _guess_image_format(component.binary_data)
if image_format and component.binary_data:
builder.add_text_content("[消息类型]图片")
builder.add_image_content(image_format, base64.b64encode(component.binary_data).decode("utf-8"))
return True
if component.content:
builder.add_text_content(component.content)
return True
return False
def _append_reply_component(builder: MessageBuilder, component: ReplyComponent) -> bool:
"""将回复组件追加到 LLM 消息构建器。"""
target_message_id = component.target_message_id.strip()
if not target_message_id:
return False
builder.add_text_content(f"[引用回复]({target_message_id})")
return True
def _build_message_from_sequence(
@@ -57,17 +94,17 @@ def _build_message_from_sequence(
has_content = True
continue
if isinstance(component, (EmojiComponent, ImageComponent)):
image_format = _guess_image_format(component.binary_data)
if image_format and component.binary_data:
builder.add_text_content(_build_binary_component_type_text(component))
builder.add_image_content(image_format, base64.b64encode(component.binary_data).decode("utf-8"))
has_content = True
continue
if isinstance(component, EmojiComponent):
has_content = _append_emoji_component(builder, component) or has_content
continue
if component.content:
builder.add_text_content(component.content)
has_content = True
if isinstance(component, ImageComponent):
has_content = _append_image_component(builder, component) or has_content
continue
if isinstance(component, ReplyComponent):
has_content = _append_reply_component(builder, component) or has_content
continue
if not has_content and fallback_text:
builder.add_text_content(fallback_text)

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@@ -5,7 +5,13 @@ from datetime import datetime
from typing import Optional
import re
from src.common.data_models.message_component_data_model import EmojiComponent, ImageComponent, MessageSequence, TextComponent
from src.common.data_models.message_component_data_model import (
EmojiComponent,
ImageComponent,
MessageSequence,
ReplyComponent,
TextComponent,
)
SPEAKER_PREFIX_PATTERN = re.compile(
r"^(?:(?P<timestamp>\d{2}:\d{2}:\d{2}))?(?:\[msg_id:(?P<message_id>[^\]]+)\])?\[(?P<speaker>[^\]]+)\](?P<content>.*)$",
@@ -65,5 +71,11 @@ def build_visible_text_from_sequence(message_sequence: MessageSequence) -> str:
if isinstance(component, ImageComponent):
parts.append("[图片]")
continue
if isinstance(component, ReplyComponent):
target_message_id = component.target_message_id.strip()
if target_message_id:
parts.append(f"[引用回复]({target_message_id})")
return "".join(parts)

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@@ -12,7 +12,7 @@ import traceback
from src.chat.heart_flow.heartFC_utils import CycleDetail
from src.chat.message_receive.message import SessionMessage
from src.chat.utils.utils import process_llm_response
from src.common.data_models.message_component_data_model import MessageSequence, TextComponent
from src.common.data_models.message_component_data_model import EmojiComponent, ImageComponent, MessageSequence, TextComponent
from src.common.logger import get_logger
from src.config.config import global_config
from src.core.tooling import ToolExecutionContext, ToolExecutionResult, ToolInvocation, ToolSpec
@@ -230,12 +230,10 @@ class MaisakaReasoningEngine:
planner_prefix = build_planner_user_prefix_from_session_message(message)
appended_component = False
if global_config.maisaka.direct_image_input:
source_sequence = getattr(message, "maisaka_original_raw_message", message.raw_message)
else:
source_sequence = message.raw_message
source_sequence = message.raw_message
planner_components = clone_message_sequence(source_sequence).components
if global_config.maisaka.direct_image_input:
await self._hydrate_visual_components(planner_components)
if planner_components and isinstance(planner_components[0], TextComponent):
planner_components[0].text = planner_prefix + planner_components[0].text
else:
@@ -256,6 +254,24 @@ class MaisakaReasoningEngine:
return message_sequence, legacy_visible_text
async def _hydrate_visual_components(self, planner_components: list[object]) -> None:
"""在 Maisaka 真正需要图片或表情时,按需回填二进制数据。"""
load_tasks: list[asyncio.Task[None]] = []
for component in planner_components:
if isinstance(component, ImageComponent) and not component.binary_data:
load_tasks.append(asyncio.create_task(component.load_image_binary()))
continue
if isinstance(component, EmojiComponent) and not component.binary_data:
load_tasks.append(asyncio.create_task(component.load_emoji_binary()))
if not load_tasks:
return
results = await asyncio.gather(*load_tasks, return_exceptions=True)
for result in results:
if isinstance(result, Exception):
logger.warning(f"{self._runtime.log_prefix} 回填图片或表情二进制数据失败Maisaka 将退化为文本占位: {result}")
def _build_legacy_visible_text(self, message: SessionMessage, source_sequence: MessageSequence) -> str:
user_info = message.message_info.user_info
speaker_name = user_info.user_cardname or user_info.user_nickname or user_info.user_id

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@@ -14,7 +14,7 @@ import httpx
from src.cli.console import console
from src.core.tooling import ToolExecutionResult
from .config import MCPClientRuntimeConfig, MCPRootRuntimeConfig, MCPServerRuntimeConfig
from .config import MCPClientRuntimeConfig, MCPServerRuntimeConfig
from .hooks import MCPHostCallbacks
from .models import (
MCPPromptResult,