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archived-MoviePilot/app/agent/tools/impl/ask_user_choice.py

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"""让用户通过按钮进行选择的工具。"""
from typing import List, Optional, Type
from pydantic import BaseModel, Field, model_validator
from app.agent.tools.base import MoviePilotTool, ToolChain
from app.helper.interaction import (
AgentInteractionOption,
agent_interaction_manager,
)
from app.log import logger
from app.schemas import Notification, NotificationType
from app.schemas.message import ChannelCapabilityManager
from app.schemas.types import MessageChannel
class UserChoiceOptionInput(BaseModel):
"""单个按钮选项。"""
label: str = Field(..., description="Text shown on the button")
value: str = Field(
...,
description="The exact content that will be sent back to the agent after the user clicks this button",
)
@model_validator(mode="after")
def validate_option(self):
label = str(self.label)
value = str(self.value)
if not label.strip():
raise ValueError("label 不能为空")
if not value.strip():
raise ValueError("value 不能为空")
return self
class AskUserChoiceInput(BaseModel):
"""按钮选择工具输入。"""
explanation: str = Field(
...,
description="Clear explanation of why the agent needs the user to choose from buttons",
)
message: str = Field(
...,
description="Question or prompt shown to the user together with the buttons",
)
title: Optional[str] = Field(
None,
description="Optional short title displayed above the question",
)
options: List[UserChoiceOptionInput] = Field(
...,
description="Button options to show to the user",
)
@model_validator(mode="after")
def validate_payload(self):
message = str(self.message)
if not message.strip():
raise ValueError("message 不能为空")
if not self.options:
raise ValueError("options 至少需要提供一个")
return self
class AskUserChoiceTool(MoviePilotTool):
name: str = "ask_user_choice"
sends_message: bool = True
description: str = (
"Ask the user to choose from button options on channels that support interactive buttons. "
"After the user clicks a button, the selected value will come back as the user's next message."
)
args_schema: Type[BaseModel] = AskUserChoiceInput
require_admin: bool = False
def get_tool_message(self, **kwargs) -> Optional[str]:
message = kwargs.get("message", "") or ""
if len(message) > 40:
message = message[:40] + "..."
return f"发送按钮选择: {message}"
@staticmethod
def _truncate_button_text(text: str, max_length: int) -> str:
if max_length <= 0 or len(text) <= max_length:
return text
if max_length <= 3:
return text[:max_length]
return text[: max_length - 3] + "..."
def _blocked_by_feedback_quality_gate(self) -> bool:
"""反馈 Issue 质量门槛拒绝后,禁止继续发按钮引导改写。
这是对 ``feedback-issue`` skill 的工具层兜底:模型可能在
``submit_feedback_issue`` 返回 ``rejected_quality`` 后仍调用本工具,
试图让用户选择“提供真实问题描述重新提交”。这会把测试 / 占位内容
的拒绝结果变成绕过指导,因此同一轮 tool context 中直接拦截。
"""
return bool(self._agent_context.get("feedback_issue_rejected_quality"))
def _blocked_by_pending_feedback_confirmation(self) -> bool:
"""已经发出 ``prepare_feedback_issue`` 的预览按钮后,禁止再叠一层选择。
Why: Issue #5807 实测中 deepseek 在 prepare 之后又自作主张调
``ask_user_choice``,给用户发了第二个「确认提交 ISSUE」按钮。
两条按钮 → 两次 callback → agent 走两轮 → 同一条成功文案被发 3 次。
从工具层硬拦:发现 ``reply_mode=feedback_issue_confirmation`` 直接拒绝。
"""
return (
self._agent_context.get("reply_mode") == "feedback_issue_confirmation"
)
async def run(
self,
message: str,
options: List[UserChoiceOptionInput],
title: Optional[str] = None,
**kwargs,
) -> str:
if self._blocked_by_feedback_quality_gate():
logger.warning(
"ask_user_choice blocked after feedback issue rejected_quality: "
"session_id=%s",
self._session_id,
)
return (
"反馈 Issue 已被质量门槛拒绝,不能继续发送按钮引导用户改写或重新提交。"
"请直接结束本次反馈流程。"
)
if self._blocked_by_pending_feedback_confirmation():
logger.warning(
"ask_user_choice blocked while feedback issue preview pending: "
"session_id=%s",
self._session_id,
)
return (
"prepare_feedback_issue 已经发出确认按钮并在等待用户点击,"
"不允许再叠加 ask_user_choice。请直接结束本轮等待用户在"
"现有按钮上点选。"
)
if not self._channel or not self._source:
return "当前不在可回传消息的会话中,无法发起按钮选择"
try:
channel = MessageChannel(self._channel)
except ValueError:
return f"不支持的消息渠道: {self._channel}"
if not (
ChannelCapabilityManager.supports_buttons(channel)
and ChannelCapabilityManager.supports_callbacks(channel)
):
return f"当前渠道 {channel.value} 不支持按钮选择"
max_per_row = 1
max_rows = ChannelCapabilityManager.get_max_button_rows(channel)
max_text_length = ChannelCapabilityManager.get_max_button_text_length(channel)
max_options = max_per_row * max_rows
if len(options) > max_options:
return f"当前渠道最多支持 {max_options} 个按钮选项"
choice_options = [
AgentInteractionOption(
label=option.label.strip(), value=option.value.strip()
)
for option in options
]
request = agent_interaction_manager.create_request(
session_id=self._session_id,
user_id=str(self._user_id),
channel=channel.value,
source=self._source,
username=self._username,
title=title,
prompt=message.strip(),
options=choice_options,
)
buttons = []
current_row = []
for index, option in enumerate(choice_options, start=1):
current_row.append(
{
"text": self._truncate_button_text(option.label, max_text_length),
"callback_data": (
f"agent_interaction:choice:{request.request_id}:{index}"
),
}
)
if len(current_row) >= max_per_row:
buttons.append(current_row)
current_row = []
if current_row:
buttons.append(current_row)
logger.info(
"执行工具: %s, channel=%s, session_id=%s, options=%s",
self.name,
channel.value,
self._session_id,
len(choice_options),
)
await ToolChain().async_post_message(
Notification(
channel=channel,
source=self._source,
mtype=NotificationType.Agent,
userid=self._user_id,
username=self._username,
title=title,
text=message.strip(),
buttons=buttons,
)
)
self._agent_context["user_reply_sent"] = True
self._agent_context["reply_mode"] = "button_choice"
return f"已发送 {len(choice_options)} 个按钮选项,等待用户选择"