```
feat: 添加生命周期报告和AI规则管理功能 - 在Dockerfile中添加pillow依赖包用于图像处理 - 实现生命周期报告调度任务,支持日报和周报两种类型 - 新增TASK_RUN_LIFECYCLE任务常量和相关配置选项 - 扩展AI Agent服务以支持用户规则,并在分析时应用规则 - 添加AI用户规则创建、更新和查询接口 - 增加项目生命周期和财务需求分析技能 - 扩展现有模型以支持更完整的业务数据字段 - 实现飞书图片上传功能用于报告展示 ```
This commit is contained in:
@@ -2,6 +2,7 @@ import json
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import re
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from typing import Any
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from fastapi import HTTPException
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from sqlalchemy.orm import Session
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from app.core.constants import ActorValue
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@@ -9,6 +10,8 @@ from app.core.config import get_settings
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from app.modules.ai_agent.service import AIService
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from app.modules.ai_agent.constants import AIResponseKey
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from app.modules.audit.constants import AuditSource
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from app.modules.ai_memory.constants import AIMemoryStatus
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from app.modules.ai_memory.service import AIMemoryService
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from app.modules.feishu.constants import (
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FEISHU_AI_REPLY_TITLE,
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FEISHU_MENTION_PATTERN,
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@@ -20,6 +23,7 @@ from app.modules.feishu.constants import (
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FeishuReplyType,
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)
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from app.modules.reports.constants import ReportResponseKey
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from app.modules.reports.chart import lifecycle_chart_alt, render_lifecycle_chart
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from app.modules.feishu.service import FeishuService
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from app.modules.reports.services import ReportService
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from app.modules.risk.constants import RiskSummaryKey
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@@ -32,6 +36,22 @@ RISK_KEYWORDS = ("风险", "预警", "risk")
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AI_COMMAND_PREFIXES = ("问 ", "ai ", "AI ", "/ask ")
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RISK_TITLE = "风险预警"
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DEFAULT_AI_PROMPT = "请说明你能做什么。"
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RULE_TITLE = "AI 学习规则"
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RULE_CREATE_PATTERN = re.compile(r"^学习规则(?:\s+(\d{1,3}))?\s*[::]\s*(.*)$")
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RULE_DISABLE_PATTERN = re.compile(r"^停用规则\s+(MEM-[A-Za-z0-9-]+)$", re.IGNORECASE)
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RULE_ENABLE_PATTERN = re.compile(r"^启用规则\s+(MEM-[A-Za-z0-9-]+)$", re.IGNORECASE)
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RULE_LIST_COMMANDS = {"查看规则", "规则列表"}
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RULE_COMMAND_PREFIXES = ("学习规则", "查看规则", "规则列表", "停用规则", "启用规则")
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RULE_COMMAND_HELP = (
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"规则指令格式:\n"
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"学习规则:<规则内容>\n"
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"学习规则 80:<规则内容>\n"
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"查看规则\n"
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"停用规则 <规则编号>\n"
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"启用规则 <规则编号>"
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)
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PROJECT_FINANCE_PATTERN = re.compile(r"^项目资金\s+(.+)$")
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FINANCE_COMMANDS = {"资金需求", "未来30天资金需求"}
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def _parse_content_text(content: Any) -> str:
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@@ -125,6 +145,24 @@ class FeishuCommandService:
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lowered = command_text.lower()
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provider_response: dict[str, Any] | None = None
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rule_result = self._handle_rule_command(
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command_text,
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chat_id=chat_id,
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actor=actor,
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auto_reply=auto_reply,
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)
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if rule_result is not None:
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return rule_result
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finance_result = self._handle_finance_command(
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command_text,
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chat_id=chat_id,
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actor=actor,
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auto_reply=auto_reply,
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)
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if finance_result is not None:
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return finance_result
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if any(keyword in command_text for keyword in DAILY_REPORT_KEYWORDS):
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report = ReportService(self.db).daily_brief()
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if auto_reply:
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@@ -235,6 +273,233 @@ class FeishuCommandService:
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provider_response,
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)
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def _handle_finance_command(
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self,
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command_text: str,
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chat_id: str | None,
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actor: str,
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auto_reply: bool,
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) -> dict[str, Any] | None:
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project_match = PROJECT_FINANCE_PATTERN.fullmatch(command_text)
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if command_text not in FINANCE_COMMANDS and project_match is None:
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return None
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command = (
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FeishuCommandName.PROJECT_FINANCE
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if project_match
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else FeishuCommandName.FINANCE_NEEDS
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)
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if not get_settings().finance_needs_enabled:
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content = "项目资金需求分析尚未启用,请先配置并启用财务只读同步。"
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provider_response = (
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self._send_text_if_configured(chat_id, content, actor) if auto_reply else None
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)
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return _command_result(
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command,
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FeishuReplyType.TEXT,
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"项目资金需求分析",
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content,
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provider_response,
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)
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project_code = project_match.group(1).strip() if project_match else None
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service = ReportService(self.db)
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preview = service.project_finance_needs_report(
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project_code=project_code,
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include_ai=False,
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actor=actor,
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)
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if project_code and not preview["items"]:
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content = f"未找到项目“{project_code}”,请使用稳定项目编号或展示编号。"
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provider_response = (
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self._send_text_if_configured(chat_id, content, actor) if auto_reply else None
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)
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return _command_result(
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command,
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FeishuReplyType.TEXT,
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"项目资金需求分析",
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content,
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provider_response,
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)
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if not preview["summary"]["data_available"]:
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content = "项目财务数据未接入或无有效记录,暂不生成资金分析报告。"
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provider_response = (
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self._send_text_if_configured(chat_id, content, actor) if auto_reply else None
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)
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return _command_result(
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command,
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FeishuReplyType.TEXT,
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"项目资金需求分析",
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content,
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provider_response,
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)
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report = service.project_finance_needs_report(
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project_code=project_code,
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include_ai=True,
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actor=actor,
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)
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ai_analysis = report.get("ai_analysis") or {}
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if not ai_analysis.get(AIResponseKey.OK):
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content = "AI 当前不可用,本次项目资金分析报告未发送。请检查模型服务。"
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provider_response = (
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self._send_text_if_configured(chat_id, content, actor) if auto_reply else None
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)
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return _command_result(
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command,
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FeishuReplyType.TEXT,
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"AI 暂不可用",
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content,
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provider_response,
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)
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provider_response = None
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if auto_reply:
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provider_response = self._send_finance_card_if_configured(chat_id, report, actor)
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return _command_result(
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command,
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FeishuReplyType.CARD,
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report[ReportResponseKey.TITLE],
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report[ReportResponseKey.CONTENT],
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provider_response,
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report[ReportResponseKey.LINES],
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)
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def _send_finance_card_if_configured(
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self,
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chat_id: str | None,
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report: dict[str, Any],
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actor: str,
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) -> dict[str, Any] | None:
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settings = get_settings()
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if not (settings.feishu_app_id and settings.feishu_app_secret):
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return None
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chart_data = {
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"period": report.get("as_of"),
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"finance": report.get("finance_chart_data"),
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}
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image_result = self.feishu.upload_image(render_lifecycle_chart(chart_data), actor)
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image_key = (image_result.get("data") or {}).get("image_key")
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if not image_key:
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raise ValueError("Feishu image upload did not return image_key")
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card = FeishuService.build_basic_card(
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report[ReportResponseKey.TITLE],
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report[ReportResponseKey.LINES],
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image_key=image_key,
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image_alt=lifecycle_chart_alt(chart_data),
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)
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return self.feishu.send_card(card, receive_id=chat_id, actor=actor)
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def _handle_rule_command(
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self,
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command_text: str,
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chat_id: str | None,
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actor: str,
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auto_reply: bool,
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) -> dict[str, Any] | None:
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if not command_text.startswith(RULE_COMMAND_PREFIXES):
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return None
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if command_text.startswith("停用规则"):
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command = FeishuCommandName.RULE_DISABLE
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elif command_text.startswith("启用规则"):
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command = FeishuCommandName.RULE_ENABLE
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elif command_text.startswith(("查看规则", "规则列表")):
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command = FeishuCommandName.RULE_LIST
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else:
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command = FeishuCommandName.RULE_CREATE
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content = RULE_COMMAND_HELP
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try:
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create_match = RULE_CREATE_PATTERN.fullmatch(command_text)
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disable_match = RULE_DISABLE_PATTERN.fullmatch(command_text)
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enable_match = RULE_ENABLE_PATTERN.fullmatch(command_text)
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memory = AIMemoryService(self.db)
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if create_match:
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priority = int(create_match.group(1) or 50)
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rule_content = create_match.group(2).strip()
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if not rule_content:
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content = f"规则内容不能为空。\n\n{RULE_COMMAND_HELP}"
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elif not 1 <= priority <= 100:
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content = "规则优先级必须在 1 到 100 之间。"
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else:
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rule = memory.create_rule(
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content=rule_content,
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scope="global",
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subject="company",
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priority=priority,
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tags=["feishu"],
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actor=actor,
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)
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content = (
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"规则已学习。\n"
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f"编号:{rule['code']}\n"
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f"优先级:{rule['importance']}\n"
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f"范围:{rule['scope']} / {rule['subject']}\n"
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"状态:已启用"
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)
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elif command_text in RULE_LIST_COMMANDS:
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command = FeishuCommandName.RULE_LIST
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rules = memory.list_rules(
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status_filter=AIMemoryStatus.ACTIVE,
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limit=20,
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)
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if not rules:
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content = "当前没有已启用的学习规则。"
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else:
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lines = ["当前已启用的学习规则:"]
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for rule in rules:
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rule_text = str(rule["content"])
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if len(rule_text) > 80:
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rule_text = f"{rule_text[:80]}…"
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lines.append(
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f"{rule['code']}|优先级 {rule['importance']}|"
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f"{rule['scope']}/{rule['subject']}\n{rule_text}"
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)
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content = "\n\n".join(lines)
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elif disable_match or enable_match:
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enabled = enable_match is not None
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command = (
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FeishuCommandName.RULE_ENABLE
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if enabled
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else FeishuCommandName.RULE_DISABLE
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)
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match = enable_match or disable_match
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rule = memory.update_rule(
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code=match.group(1),
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content=None,
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priority=None,
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tags=None,
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enabled=enabled,
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actor=actor,
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)
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state = "已启用" if enabled else "已停用"
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content = (
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f"规则{state}。\n"
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f"编号:{rule['code']}\n"
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f"优先级:{rule['importance']}\n"
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f"范围:{rule['scope']} / {rule['subject']}\n"
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f"状态:{state}"
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)
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except HTTPException as exc:
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detail = str(exc.detail)
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if "secret-like" in detail:
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content = "规则疑似包含密码、令牌或其他密钥信息,已拒绝学习。"
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elif exc.status_code == 404:
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content = "没有找到该规则,请先发送“查看规则”确认规则编号。"
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elif "priority" in detail:
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content = "规则优先级必须在 1 到 100 之间。"
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else:
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content = "规则未保存,请检查指令内容后重试。"
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provider_response = None
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if auto_reply:
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provider_response = self._send_text_if_configured(chat_id, content, actor)
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return _command_result(
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command,
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FeishuReplyType.TEXT,
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RULE_TITLE,
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content,
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provider_response,
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)
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def _send_card_if_configured(
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self,
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chat_id: str | None,
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