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"""
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Word 文档 LLM 报告导出器
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调用大模型生成专业的任务执行报告
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"""
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import json
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import os
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import re
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from datetime import datetime
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from typing import Dict, Any, Optional
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class DocxLLMExporter:
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"""Word 文档 LLM 报告导出器 - 调用大模型生成报告"""
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# LLM 配置（从 config.yaml 加载）
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LLM_CONFIG = {
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'OPENAI_API_BASE': None,
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'OPENAI_API_KEY': None,
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'OPENAI_API_MODEL': None,
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}
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# Prompt 模板
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PROMPT_TEMPLATE = """你是一位专业的项目管理顾问和报告分析师。你的任务是将以下任务执行数据生成一份详细、专业、结构化的执行报告。
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## 任务基本信息
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- 任务名称：{task_name}
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## 任务大纲（规划阶段）
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{task_outline}
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## 执行结果
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{rehearsal_log}
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## 参与智能体
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{agents}
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## 智能体评分
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{agent_scores}
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---
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## 报告要求
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请生成一份完整的任务执行报告，包含以下章节：
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### 1. 执行摘要
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用 2-3 句话概括本次任务的整体执行情况。
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### 2. 任务概述
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- 任务背景与目标
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- 任务范围与边界
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### 3. 任务规划分析
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- 任务拆解的合理性
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- 智能体角色分配的优化建议
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- 工作流程设计
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### 4. 执行过程回顾
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- 各阶段的完成情况
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- 关键决策点
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- 遇到的问题及解决方案
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### 5. 成果产出分析
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- 产出物的质量评估
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- 产出与预期目标的匹配度
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### 6. 团队协作分析
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- 智能体之间的协作模式
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- 信息传递效率
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### 7. 质量评估
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- 整体完成质量评分（1-10分）
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- 各维度的具体评分及理由
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### 8. 经验教训与改进建议
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- 成功经验
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- 存在的问题与不足
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- 改进建议
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---
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## 输出格式要求
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- 使用 Markdown 格式输出
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- 语言：简体中文
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- 适当使用列表、表格增强可读性
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- 报告长度必须达到 4000-6000 字，每个章节都要详细展开，不要遗漏任何章节
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- 每个章节的内容要充实，提供具体的分析和建议
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- 注意：所有加粗标记必须成对出现，如 **文本**，不要单独使用 ** 或缺少结束标记
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- 禁止使用 mermaid、graph TD、flowchart 等图表代码，如果需要描述流程请用纯文字描述
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- 不要生成附录章节（如有关键参数对照表、工艺流程图等），如果确实需要附录再生成
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- 不要在报告中显示"报告总字数"这样的统计信息
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"""
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def __init__(self):
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self._load_llm_config()
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def _load_llm_config(self):
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"""从配置文件加载 LLM 配置"""
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try:
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import yaml
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# 尝试多个可能的配置文件路径
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possible_paths = [
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os.path.join(os.path.dirname(os.path.dirname(__file__)), 'config', 'config.yaml'),
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os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'backend', 'config', 'config.yaml'),
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os.path.join(os.getcwd(), 'config', 'config.yaml'),
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]
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for config_path in possible_paths:
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if os.path.exists(config_path):
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with open(config_path, 'r', encoding='utf-8') as f:
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config = yaml.safe_load(f)
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if config:
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self.LLM_CONFIG['OPENAI_API_BASE'] = config.get('OPENAI_API_BASE')
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self.LLM_CONFIG['OPENAI_API_KEY'] = config.get('OPENAI_API_KEY')
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self.LLM_CONFIG['OPENAI_API_MODEL'] = config.get('OPENAI_API_MODEL')
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print(f"已加载 LLM 配置: {self.LLM_CONFIG['OPENAI_API_MODEL']}")
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return
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except Exception as e:
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print(f"加载 LLM 配置失败: {e}")
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def generate(self, task_data: Dict[str, Any], file_path: str) -> bool:
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"""生成 Word 文档（调用 LLM 生成报告）"""
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try:
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# 1. 准备数据
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task_name = task_data.get('task_name', '未命名任务')
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task_outline = task_data.get('task_outline')
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rehearsal_log = task_data.get('rehearsal_log')
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agent_scores = task_data.get('agent_scores')
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# 2. 提取参与智能体（从 task_outline 的 Collaboration Process 中提取）
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agents = self._extract_agents(task_outline)
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# 3. 过滤 agent_scores（只保留参与当前任务的智能体评分）
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filtered_agent_scores = self._filter_agent_scores(agent_scores, agents)
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# 4. 格式化数据为 JSON 字符串
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task_outline_str = json.dumps(task_outline, ensure_ascii=False, indent=2) if task_outline else '无'
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rehearsal_log_str = json.dumps(rehearsal_log, ensure_ascii=False, indent=2) if rehearsal_log else '无'
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agents_str = ', '.join(agents) if agents else '无'
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agent_scores_str = json.dumps(filtered_agent_scores, ensure_ascii=False, indent=2) if filtered_agent_scores else '无'
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# 5. 构建 Prompt
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prompt = self.PROMPT_TEMPLATE.format(
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task_name=task_name,
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task_outline=task_outline_str,
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rehearsal_log=rehearsal_log_str,
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agents=agents_str,
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agent_scores=agent_scores_str
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)
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# 6. 调用 LLM 生成报告
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print("正在调用大模型生成报告...")
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report_content = self._call_llm(prompt)
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if not report_content:
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print("LLM 生成报告失败")
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return False
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# 7. 清理报告内容：去掉开头的"任务执行报告"标题（如果存在）
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report_content = self._clean_report_title(report_content)
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print(f"报告生成成功，长度: {len(report_content)} 字符")
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# 8. 将 Markdown 转换为 Word 文档
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self._save_as_word(report_content, file_path)
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return True
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except Exception as e:
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print(f"Word LLM 导出失败: {e}")
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import traceback
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traceback.print_exc()
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return False
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def _clean_report_title(self, content: str) -> str:
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"""清理报告开头的重复标题"""
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lines = content.split('\n')
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if not lines:
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return content
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# 检查第一行是否是"任务执行报告"
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first_line = lines[0].strip()
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if first_line == '任务执行报告' or first_line == '# 任务执行报告':
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# 去掉第一行
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lines = lines[1:]
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# 去掉可能的空行
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while lines and not lines[0].strip():
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lines.pop(0)
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return '\n'.join(lines)
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def _extract_agents(self, task_outline: Any) -> list:
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"""从 task_outline 中提取参与智能体列表"""
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agents = set()
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if not task_outline or not isinstance(task_outline, dict):
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return []
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collaboration_process = task_outline.get('Collaboration Process', [])
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if not collaboration_process or not isinstance(collaboration_process, list):
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return []
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for step in collaboration_process:
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if isinstance(step, dict):
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agent_selection = step.get('AgentSelection', [])
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if isinstance(agent_selection, list):
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for agent in agent_selection:
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if agent:
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agents.add(agent)
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return list(agents)
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def _filter_agent_scores(self, agent_scores: Any, agents: list) -> dict:
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"""过滤 agent_scores，只保留参与当前任务的智能体评分"""
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if not agent_scores or not isinstance(agent_scores, dict):
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return {}
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if not agents:
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return {}
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filtered = {}
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for step_id, step_data in agent_scores.items():
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if not isinstance(step_data, dict):
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continue
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aspect_list = step_data.get('aspectList', [])
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agent_scores_data = step_data.get('agentScores', {})
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if not agent_scores_data:
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continue
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# 只保留在 agents 列表中的智能体评分
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filtered_scores = {}
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for agent_name, scores in agent_scores_data.items():
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if agent_name in agents and isinstance(scores, dict):
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filtered_scores[agent_name] = scores
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if filtered_scores:
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filtered[step_id] = {
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'aspectList': aspect_list,
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'agentScores': filtered_scores
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}
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return filtered
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def _call_llm(self, prompt: str) -> str:
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"""调用大模型 API 生成报告"""
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try:
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import openai
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# 验证配置
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if not self.LLM_CONFIG['OPENAI_API_KEY']:
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print("错误: OPENAI_API_KEY 未配置")
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return ""
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if not self.LLM_CONFIG['OPENAI_API_BASE']:
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print("错误: OPENAI_API_BASE 未配置")
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return ""
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if not self.LLM_CONFIG['OPENAI_API_MODEL']:
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print("错误: OPENAI_API_MODEL 未配置")
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return ""
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# 配置 OpenAI 客户端
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client = openai.OpenAI(
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api_key=self.LLM_CONFIG['OPENAI_API_KEY'],
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base_url=self.LLM_CONFIG['OPENAI_API_BASE']
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)
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# 调用 API
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response = client.chat.completions.create(
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model=self.LLM_CONFIG['OPENAI_API_MODEL'],
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messages=[
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{"role": "user", "content": prompt}
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],
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temperature=0.7,
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max_tokens=12000,
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)
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if response and response.choices:
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return response.choices[0].message.content
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return ""
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except ImportError:
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print("请安装 openai 库: pip install openai")
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return ""
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except Exception as e:
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print(f"调用 LLM 失败: {e}")
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return ""
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def _save_as_word(self, markdown_content: str, file_path: str):
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"""将 Markdown 内容保存为 Word 文档"""
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try:
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from docx import Document
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from docx.shared import Pt, Inches
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from docx.enum.text import WD_ALIGN_PARAGRAPH
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doc = Document()
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# 提取文档标题（从第一个 # 标题获取）
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lines = markdown_content.split('\n')
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first_title = None
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content_start = 0
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for i, line in enumerate(lines):
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line = line.strip()
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if line.startswith('# '):
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first_title = line[2:].strip()
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content_start = i + 1
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break
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# 添加文档标题
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if first_title:
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title = doc.add_heading(first_title, level=0)
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title.alignment = WD_ALIGN_PARAGRAPH.CENTER
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# 解析剩余的 Markdown 内容
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remaining_content = '\n'.join(lines[content_start:])
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self._parse_markdown_to_doc(remaining_content, doc)
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# 添加时间戳
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doc.add_paragraph(f"\n\n导出时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
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doc.save(file_path)
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print(f"Word 文档已保存: {file_path}")
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except ImportError:
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print("请安装 python-docx 库: pip install python-docx")
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raise
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except Exception as e:
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print(f"保存 Word 文档失败: {e}")
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raise
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def _parse_markdown_to_doc(self, markdown_content: str, doc):
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"""解析 Markdown 内容并添加到 Word 文档"""
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lines = markdown_content.split('\n')
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i = 0
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table_rows = []
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in_table = False
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while i < len(lines):
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line = lines[i].rstrip()
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# 空行处理
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if not line:
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in_table = False
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if table_rows:
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self._add_table_to_doc(table_rows, doc)
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table_rows = []
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i += 1
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continue
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# 表格分隔线检测（跳过 |---| 或 |:---| 等格式的行）
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stripped = line.strip()
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if stripped.startswith('|') and stripped.endswith('|') and '---' in stripped:
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i += 1
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continue
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# 表格检测：检查是否是表格行
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if '|' in line and line.strip().startswith('|'):
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# 收集表格行
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cells = [cell.strip() for cell in line.split('|')[1:-1]]
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if cells and any(cells): # 跳过空行
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table_rows.append(cells)
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in_table = True
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i += 1
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continue
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||||
else:
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# 如果之前在表格中，现在不是表格行了，添加表格
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if in_table and table_rows:
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self._add_table_to_doc(table_rows, doc)
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table_rows = []
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in_table = False
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||||
# 标题处理
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||||
if line.startswith('### '):
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||||
doc.add_heading(line[4:].strip(), level=3)
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||||
elif line.startswith('## '):
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doc.add_heading(line[3:].strip(), level=1)
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||||
elif line.startswith('# '):
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doc.add_heading(line[2:].strip(), level=0)
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||||
# 无序列表处理（去掉 • 或 - 符号）
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||||
elif line.startswith('- ') or line.startswith('* ') or line.startswith('• '):
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# 去掉列表符号，保留内容
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text = line[2:].strip() if line.startswith(('- ', '* ')) else line[1:].strip()
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self._add_formatted_paragraph(text, doc, 'List Bullet')
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# 普通段落（处理加粗）
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||||
else:
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# 使用格式化方法处理加粗
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self._add_formatted_paragraph(line, doc)
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||||
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i += 1
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||||
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||||
# 处理最后的表格
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||||
if table_rows:
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self._add_table_to_doc(table_rows, doc)
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||||
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||||
def _add_table_to_doc(self, table_rows: list, doc):
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||||
"""将表格行添加到 Word 文档"""
|
||||
if not table_rows:
|
||||
return
|
||||
|
||||
# 创建表格
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||||
table = doc.add_table(rows=len(table_rows), cols=len(table_rows[0]))
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||||
table.style = 'Light Grid Accent 1'
|
||||
|
||||
for i, row_data in enumerate(table_rows):
|
||||
row = table.rows[i]
|
||||
for j, cell_text in enumerate(row_data):
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||||
cell = row.cells[j]
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||||
cell.text = ''
|
||||
|
||||
# 处理加粗
|
||||
parts = re.split(r'(\*\*.+?\*\*)', cell_text)
|
||||
for part in parts:
|
||||
if part.startswith('**') and part.endswith('**'):
|
||||
run = cell.paragraphs[0].add_run(part[2:-2])
|
||||
run.bold = True
|
||||
elif part:
|
||||
cell.paragraphs[0].add_run(part)
|
||||
|
||||
def _add_formatted_paragraph(self, text: str, doc, style: str = None):
|
||||
"""添加带格式的段落"""
|
||||
# 处理加粗文本
|
||||
para = doc.add_paragraph(style=style)
|
||||
|
||||
# 分割文本处理加粗
|
||||
parts = re.split(r'(\*\*.+?\*\*)', text)
|
||||
for part in parts:
|
||||
if part.startswith('**') and part.endswith('**'):
|
||||
# 加粗文本
|
||||
run = para.add_run(part[2:-2])
|
||||
run.bold = True
|
||||
else:
|
||||
para.add_run(part)
|
||||
@@ -1,269 +0,0 @@
|
||||
"""
|
||||
信息图 LLM 报告导出器
|
||||
调用大模型生成信息图展示的格式化内容
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
from datetime import datetime
|
||||
from typing import Dict, Any, Optional
|
||||
|
||||
|
||||
class InfographicLLMExporter:
|
||||
"""信息图 LLM 报告导出器 - 调用大模型生成信息图内容"""
|
||||
|
||||
LLM_CONFIG = {
|
||||
'OPENAI_API_BASE': None,
|
||||
'OPENAI_API_KEY': None,
|
||||
'OPENAI_API_MODEL': None,
|
||||
}
|
||||
|
||||
PROMPT_TEMPLATE = """你是一位专业的可视化设计师和数据分析专家。你的任务是将以下任务执行数据生成适合信息图展示的格式化内容。
|
||||
|
||||
## 任务基本信息
|
||||
- 任务名称：{task_name}
|
||||
|
||||
## 任务大纲（规划阶段）
|
||||
{task_outline}
|
||||
|
||||
## 执行结果
|
||||
{rehearsal_log}
|
||||
|
||||
## 参与智能体
|
||||
{agents}
|
||||
|
||||
## 智能体评分
|
||||
{agent_scores}
|
||||
|
||||
---
|
||||
|
||||
## 信息图内容要求
|
||||
|
||||
请生成以下信息图展示内容（JSON 格式输出）：
|
||||
|
||||
{{
|
||||
"summary": "执行摘要 - 2-3句话概括整体执行情况",
|
||||
"highlights": [
|
||||
"亮点1 - 取得的显著成果",
|
||||
"亮点2 - 关键突破或创新",
|
||||
"亮点3 - 重要的里程碑"
|
||||
],
|
||||
"statistics": {{
|
||||
"total_steps": 执行总步骤数,
|
||||
"agent_count": 参与智能体数量,
|
||||
"completion_rate": 完成率(百分比),
|
||||
"quality_score": 质量评分(1-10)
|
||||
}},
|
||||
"key_insights": [
|
||||
"关键洞察1 - 从执行过程中总结的洞见",
|
||||
"关键洞察2 - 值得关注的趋势或模式",
|
||||
"关键洞察3 - 对未来工作的建议"
|
||||
],
|
||||
"timeline": [
|
||||
{{"step": "步骤名称", "status": "完成/进行中/未完成", "key_result": "关键产出"}},
|
||||
...
|
||||
],
|
||||
"agent_performance": [
|
||||
{{"name": "智能体名称", "score": 评分, "contribution": "主要贡献"}},
|
||||
...
|
||||
]
|
||||
}}
|
||||
|
||||
---
|
||||
|
||||
## 输出要求
|
||||
- 输出必须是有效的 JSON 格式
|
||||
- 语言：简体中文
|
||||
- 所有字符串值使用中文
|
||||
- statistics 中的数值必须是整数或浮点数
|
||||
- 确保 JSON 格式正确，不要有语法错误
|
||||
- 不要输出 JSON 之外的任何内容
|
||||
- **重要**："执行结果"（rehearsal_log）只是参考数据，用于帮助你分析整体执行情况生成摘要、亮点、统计数据等。**不要在任何输出字段中直接复制或输出原始执行结果数据**，而应该对这些数据进行分析和提炼，生成适合信息图展示的格式化内容。
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
self._load_llm_config()
|
||||
|
||||
def _load_llm_config(self):
|
||||
"""从配置文件加载 LLM 配置"""
|
||||
try:
|
||||
import yaml
|
||||
possible_paths = [
|
||||
os.path.join(os.path.dirname(os.path.dirname(__file__)), 'config', 'config.yaml'),
|
||||
os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'backend', 'config', 'config.yaml'),
|
||||
os.path.join(os.getcwd(), 'config', 'config.yaml'),
|
||||
]
|
||||
|
||||
for config_path in possible_paths:
|
||||
if os.path.exists(config_path):
|
||||
with open(config_path, 'r', encoding='utf-8') as f:
|
||||
config = yaml.safe_load(f)
|
||||
if config:
|
||||
self.LLM_CONFIG['OPENAI_API_BASE'] = config.get('OPENAI_API_BASE')
|
||||
self.LLM_CONFIG['OPENAI_API_KEY'] = config.get('OPENAI_API_KEY')
|
||||
self.LLM_CONFIG['OPENAI_API_MODEL'] = config.get('OPENAI_API_MODEL')
|
||||
print(f"已加载 LLM 配置: {self.LLM_CONFIG['OPENAI_API_MODEL']}")
|
||||
return
|
||||
except Exception as e:
|
||||
print(f"加载 LLM 配置失败: {e}")
|
||||
|
||||
def generate(self, task_data: Dict[str, Any]) -> Dict[str, Any]:
|
||||
"""生成信息图内容（调用 LLM 生成）"""
|
||||
try:
|
||||
task_name = task_data.get('task_name', '未命名任务')
|
||||
task_outline = task_data.get('task_outline')
|
||||
rehearsal_log = task_data.get('rehearsal_log')
|
||||
agent_scores = task_data.get('agent_scores')
|
||||
|
||||
agents = self._extract_agents(task_outline)
|
||||
filtered_agent_scores = self._filter_agent_scores(agent_scores, agents)
|
||||
|
||||
task_outline_str = json.dumps(task_outline, ensure_ascii=False, indent=2) if task_outline else '无'
|
||||
rehearsal_log_str = json.dumps(rehearsal_log, ensure_ascii=False, indent=2) if rehearsal_log else '无'
|
||||
agents_str = ', '.join(agents) if agents else '无'
|
||||
agent_scores_str = json.dumps(filtered_agent_scores, ensure_ascii=False, indent=2) if filtered_agent_scores else '无'
|
||||
|
||||
prompt = self.PROMPT_TEMPLATE.format(
|
||||
task_name=task_name,
|
||||
task_outline=task_outline_str,
|
||||
rehearsal_log=rehearsal_log_str,
|
||||
agents=agents_str,
|
||||
agent_scores=agent_scores_str
|
||||
)
|
||||
|
||||
print("正在调用大模型生成信息图内容...")
|
||||
llm_result = self._call_llm(prompt)
|
||||
|
||||
if not llm_result:
|
||||
print("LLM 生成信息图内容失败")
|
||||
return None
|
||||
|
||||
infographic_data = self._parse_llm_result(llm_result)
|
||||
if not infographic_data:
|
||||
print("解析 LLM 结果失败")
|
||||
return None
|
||||
|
||||
print(f"信息图内容生成成功")
|
||||
return infographic_data
|
||||
|
||||
except Exception as e:
|
||||
print(f"信息图 LLM 生成失败: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return None
|
||||
|
||||
def _extract_agents(self, task_outline: Any) -> list:
|
||||
"""从 task_outline 中提取参与智能体列表"""
|
||||
agents = set()
|
||||
if not task_outline or not isinstance(task_outline, dict):
|
||||
return []
|
||||
|
||||
collaboration_process = task_outline.get('Collaboration Process', [])
|
||||
if not collaboration_process or not isinstance(collaboration_process, list):
|
||||
return []
|
||||
|
||||
for step in collaboration_process:
|
||||
if isinstance(step, dict):
|
||||
agent_selection = step.get('AgentSelection', [])
|
||||
if isinstance(agent_selection, list):
|
||||
for agent in agent_selection:
|
||||
if agent:
|
||||
agents.add(agent)
|
||||
|
||||
return list(agents)
|
||||
|
||||
def _filter_agent_scores(self, agent_scores: Any, agents: list) -> dict:
|
||||
"""过滤 agent_scores，只保留参与当前任务的智能体评分"""
|
||||
if not agent_scores or not isinstance(agent_scores, dict):
|
||||
return {}
|
||||
|
||||
if not agents:
|
||||
return {}
|
||||
|
||||
filtered = {}
|
||||
for step_id, step_data in agent_scores.items():
|
||||
if not isinstance(step_data, dict):
|
||||
continue
|
||||
|
||||
aspect_list = step_data.get('aspectList', [])
|
||||
agent_scores_data = step_data.get('agentScores', {})
|
||||
|
||||
if not agent_scores_data:
|
||||
continue
|
||||
|
||||
filtered_scores = {}
|
||||
for agent_name, scores in agent_scores_data.items():
|
||||
if agent_name in agents and isinstance(scores, dict):
|
||||
filtered_scores[agent_name] = scores
|
||||
|
||||
if filtered_scores:
|
||||
filtered[step_id] = {
|
||||
'aspectList': aspect_list,
|
||||
'agentScores': filtered_scores
|
||||
}
|
||||
|
||||
return filtered
|
||||
|
||||
def _call_llm(self, prompt: str) -> str:
|
||||
"""调用大模型 API 生成内容"""
|
||||
try:
|
||||
import openai
|
||||
|
||||
if not self.LLM_CONFIG['OPENAI_API_KEY']:
|
||||
print("错误: OPENAI_API_KEY 未配置")
|
||||
return ""
|
||||
if not self.LLM_CONFIG['OPENAI_API_BASE']:
|
||||
print("错误: OPENAI_API_BASE 未配置")
|
||||
return ""
|
||||
if not self.LLM_CONFIG['OPENAI_API_MODEL']:
|
||||
print("错误: OPENAI_API_MODEL 未配置")
|
||||
return ""
|
||||
|
||||
client = openai.OpenAI(
|
||||
api_key=self.LLM_CONFIG['OPENAI_API_KEY'],
|
||||
base_url=self.LLM_CONFIG['OPENAI_API_BASE']
|
||||
)
|
||||
|
||||
response = client.chat.completions.create(
|
||||
model=self.LLM_CONFIG['OPENAI_API_MODEL'],
|
||||
messages=[
|
||||
{"role": "user", "content": prompt}
|
||||
],
|
||||
temperature=0.7,
|
||||
max_tokens=8000,
|
||||
)
|
||||
|
||||
if response and response.choices:
|
||||
return response.choices[0].message.content
|
||||
|
||||
return ""
|
||||
|
||||
except ImportError:
|
||||
print("请安装 openai 库: pip install openai")
|
||||
return ""
|
||||
except Exception as e:
|
||||
print(f"调用 LLM 失败: {e}")
|
||||
return ""
|
||||
|
||||
def _parse_llm_result(self, llm_result: str) -> Optional[Dict[str, Any]]:
|
||||
"""解析 LLM 返回的 JSON 字符串"""
|
||||
try:
|
||||
json_str = llm_result.strip()
|
||||
if json_str.startswith("```json"):
|
||||
json_str = json_str[7:]
|
||||
if json_str.startswith("```"):
|
||||
json_str = json_str[3:]
|
||||
if json_str.endswith("```"):
|
||||
json_str = json_str[:-3]
|
||||
json_str = json_str.strip()
|
||||
|
||||
return json.loads(json_str)
|
||||
|
||||
except json.JSONDecodeError as e:
|
||||
print(f"JSON 解析失败: {e}")
|
||||
print(f"原始结果: {llm_result[:500]}...")
|
||||
return None
|
||||
except Exception as e:
|
||||
print(f"解析失败: {e}")
|
||||
return None
|
||||
@@ -1,315 +0,0 @@
|
||||
"""
|
||||
Markdown LLM 报告导出器
|
||||
调用大模型生成专业的任务执行报告（Markdown 格式）
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
from datetime import datetime
|
||||
from typing import Dict, Any, Optional
|
||||
|
||||
|
||||
class MarkdownLLMExporter:
|
||||
"""Markdown LLM 报告导出器 - 调用大模型生成报告"""
|
||||
|
||||
# LLM 配置（从 config.yaml 加载）
|
||||
LLM_CONFIG = {
|
||||
'OPENAI_API_BASE': None,
|
||||
'OPENAI_API_KEY': None,
|
||||
'OPENAI_API_MODEL': None,
|
||||
}
|
||||
|
||||
# Prompt 模板
|
||||
PROMPT_TEMPLATE = """你是一位专业的项目管理顾问和报告分析师。你的任务是将以下任务执行数据生成一份详细、专业、结构化的执行报告。
|
||||
|
||||
## 任务基本信息
|
||||
- 任务名称：{task_name}
|
||||
|
||||
## 任务大纲（规划阶段）
|
||||
{task_outline}
|
||||
|
||||
## 执行结果
|
||||
{rehearsal_log}
|
||||
|
||||
## 参与智能体
|
||||
{agents}
|
||||
|
||||
## 智能体评分
|
||||
{agent_scores}
|
||||
|
||||
---
|
||||
|
||||
## 报告要求
|
||||
|
||||
请生成一份完整的任务执行报告，包含以下章节：
|
||||
|
||||
### 1. 执行摘要
|
||||
用 2-3 句话概括本次任务的整体执行情况。
|
||||
|
||||
### 2. 任务概述
|
||||
- 任务背景与目标
|
||||
- 任务范围与边界
|
||||
|
||||
### 3. 任务规划分析
|
||||
- 任务拆解的合理性
|
||||
- 智能体角色分配的优化建议
|
||||
- 工作流程设计
|
||||
|
||||
### 4. 执行过程回顾
|
||||
- 各阶段的完成情况
|
||||
- 关键决策点
|
||||
- 遇到的问题及解决方案
|
||||
|
||||
### 5. 成果产出分析
|
||||
- 产出物的质量评估
|
||||
- 产出与预期目标的匹配度
|
||||
|
||||
### 6. 团队协作分析
|
||||
- 智能体之间的协作模式
|
||||
- 信息传递效率
|
||||
|
||||
### 7. 质量评估
|
||||
- 整体完成质量评分（1-10分）
|
||||
- 各维度的具体评分及理由
|
||||
|
||||
### 8. 经验教训与改进建议
|
||||
- 成功经验
|
||||
- 存在的问题与不足
|
||||
- 改进建议
|
||||
|
||||
---
|
||||
|
||||
## 输出格式要求
|
||||
- 使用 Markdown 格式输出
|
||||
- 语言：简体中文
|
||||
- 适当使用列表、表格增强可读性
|
||||
- 报告长度必须达到 4000-6000 字，每个章节都要详细展开，不要遗漏任何章节
|
||||
- 每个章节的内容要充实，提供具体的分析和建议
|
||||
- 注意：所有加粗标记必须成对出现，如 **文本**，不要单独使用 ** 或缺少结束标记
|
||||
- 禁止使用 mermaid、graph TD、flowchart 等图表代码，如果需要描述流程请用纯文字描述
|
||||
- 不要生成附录章节（如有关键参数对照表、工艺流程图等），如果确实需要附录再生成
|
||||
- 不要在报告中显示"报告总字数"这样的统计信息
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
self._load_llm_config()
|
||||
|
||||
def _load_llm_config(self):
|
||||
"""从配置文件加载 LLM 配置"""
|
||||
try:
|
||||
import yaml
|
||||
# 尝试多个可能的配置文件路径
|
||||
possible_paths = [
|
||||
os.path.join(os.path.dirname(os.path.dirname(__file__)), 'config', 'config.yaml'),
|
||||
os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'backend', 'config', 'config.yaml'),
|
||||
os.path.join(os.getcwd(), 'config', 'config.yaml'),
|
||||
]
|
||||
|
||||
for config_path in possible_paths:
|
||||
if os.path.exists(config_path):
|
||||
with open(config_path, 'r', encoding='utf-8') as f:
|
||||
config = yaml.safe_load(f)
|
||||
if config:
|
||||
self.LLM_CONFIG['OPENAI_API_BASE'] = config.get('OPENAI_API_BASE')
|
||||
self.LLM_CONFIG['OPENAI_API_KEY'] = config.get('OPENAI_API_KEY')
|
||||
self.LLM_CONFIG['OPENAI_API_MODEL'] = config.get('OPENAI_API_MODEL')
|
||||
print(f"已加载 LLM 配置: {self.LLM_CONFIG['OPENAI_API_MODEL']}")
|
||||
return
|
||||
except Exception as e:
|
||||
print(f"加载 LLM 配置失败: {e}")
|
||||
|
||||
def generate(self, task_data: Dict[str, Any], file_path: str) -> bool:
|
||||
"""生成 Markdown 文件（调用 LLM 生成报告）"""
|
||||
try:
|
||||
# 1. 准备数据
|
||||
task_name = task_data.get('task_name', '未命名任务')
|
||||
task_outline = task_data.get('task_outline')
|
||||
rehearsal_log = task_data.get('rehearsal_log')
|
||||
agent_scores = task_data.get('agent_scores')
|
||||
|
||||
# 2. 提取参与智能体（从 task_outline 的 Collaboration Process 中提取）
|
||||
agents = self._extract_agents(task_outline)
|
||||
|
||||
# 3. 过滤 agent_scores（只保留参与当前任务的智能体评分）
|
||||
filtered_agent_scores = self._filter_agent_scores(agent_scores, agents)
|
||||
|
||||
# 4. 格式化数据为 JSON 字符串
|
||||
task_outline_str = json.dumps(task_outline, ensure_ascii=False, indent=2) if task_outline else '无'
|
||||
rehearsal_log_str = json.dumps(rehearsal_log, ensure_ascii=False, indent=2) if rehearsal_log else '无'
|
||||
agents_str = ', '.join(agents) if agents else '无'
|
||||
agent_scores_str = json.dumps(filtered_agent_scores, ensure_ascii=False, indent=2) if filtered_agent_scores else '无'
|
||||
|
||||
# 5. 构建 Prompt
|
||||
prompt = self.PROMPT_TEMPLATE.format(
|
||||
task_name=task_name,
|
||||
task_outline=task_outline_str,
|
||||
rehearsal_log=rehearsal_log_str,
|
||||
agents=agents_str,
|
||||
agent_scores=agent_scores_str
|
||||
)
|
||||
|
||||
# 6. 调用 LLM 生成报告
|
||||
print("正在调用大模型生成 Markdown 报告...")
|
||||
report_content = self._call_llm(prompt)
|
||||
|
||||
if not report_content:
|
||||
print("LLM 生成报告失败")
|
||||
return False
|
||||
|
||||
# 7. 清理报告内容：去掉开头的重复标题（如果存在）
|
||||
report_content = self._clean_report_title(report_content)
|
||||
|
||||
print(f"Markdown 报告生成成功，长度: {len(report_content)} 字符")
|
||||
|
||||
# 8. 保存为 Markdown 文件
|
||||
self._save_as_markdown(report_content, task_name, file_path)
|
||||
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"Markdown LLM 导出失败: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
def _clean_report_title(self, content: str) -> str:
|
||||
"""清理报告开头的重复标题"""
|
||||
lines = content.split('\n')
|
||||
if not lines:
|
||||
return content
|
||||
|
||||
# 检查第一行是否是"任务执行报告"
|
||||
first_line = lines[0].strip()
|
||||
if first_line == '任务执行报告' or first_line == '# 任务执行报告':
|
||||
# 去掉第一行
|
||||
lines = lines[1:]
|
||||
# 去掉可能的空行
|
||||
while lines and not lines[0].strip():
|
||||
lines.pop(0)
|
||||
|
||||
return '\n'.join(lines)
|
||||
|
||||
def _extract_agents(self, task_outline: Any) -> list:
|
||||
"""从 task_outline 中提取参与智能体列表"""
|
||||
agents = set()
|
||||
if not task_outline or not isinstance(task_outline, dict):
|
||||
return []
|
||||
|
||||
collaboration_process = task_outline.get('Collaboration Process', [])
|
||||
if not collaboration_process or not isinstance(collaboration_process, list):
|
||||
return []
|
||||
|
||||
for step in collaboration_process:
|
||||
if isinstance(step, dict):
|
||||
agent_selection = step.get('AgentSelection', [])
|
||||
if isinstance(agent_selection, list):
|
||||
for agent in agent_selection:
|
||||
if agent:
|
||||
agents.add(agent)
|
||||
|
||||
return list(agents)
|
||||
|
||||
def _filter_agent_scores(self, agent_scores: Any, agents: list) -> dict:
|
||||
"""过滤 agent_scores，只保留参与当前任务的智能体评分"""
|
||||
if not agent_scores or not isinstance(agent_scores, dict):
|
||||
return {}
|
||||
|
||||
if not agents:
|
||||
return {}
|
||||
|
||||
filtered = {}
|
||||
for step_id, step_data in agent_scores.items():
|
||||
if not isinstance(step_data, dict):
|
||||
continue
|
||||
|
||||
aspect_list = step_data.get('aspectList', [])
|
||||
agent_scores_data = step_data.get('agentScores', {})
|
||||
|
||||
if not agent_scores_data:
|
||||
continue
|
||||
|
||||
# 只保留在 agents 列表中的智能体评分
|
||||
filtered_scores = {}
|
||||
for agent_name, scores in agent_scores_data.items():
|
||||
if agent_name in agents and isinstance(scores, dict):
|
||||
filtered_scores[agent_name] = scores
|
||||
|
||||
if filtered_scores:
|
||||
filtered[step_id] = {
|
||||
'aspectList': aspect_list,
|
||||
'agentScores': filtered_scores
|
||||
}
|
||||
|
||||
return filtered
|
||||
|
||||
def _call_llm(self, prompt: str) -> str:
|
||||
"""调用大模型 API 生成报告"""
|
||||
try:
|
||||
import openai
|
||||
|
||||
# 验证配置
|
||||
if not self.LLM_CONFIG['OPENAI_API_KEY']:
|
||||
print("错误: OPENAI_API_KEY 未配置")
|
||||
return ""
|
||||
if not self.LLM_CONFIG['OPENAI_API_BASE']:
|
||||
print("错误: OPENAI_API_BASE 未配置")
|
||||
return ""
|
||||
if not self.LLM_CONFIG['OPENAI_API_MODEL']:
|
||||
print("错误: OPENAI_API_MODEL 未配置")
|
||||
return ""
|
||||
|
||||
# 配置 OpenAI 客户端
|
||||
client = openai.OpenAI(
|
||||
api_key=self.LLM_CONFIG['OPENAI_API_KEY'],
|
||||
base_url=self.LLM_CONFIG['OPENAI_API_BASE']
|
||||
)
|
||||
|
||||
# 调用 API
|
||||
response = client.chat.completions.create(
|
||||
model=self.LLM_CONFIG['OPENAI_API_MODEL'],
|
||||
messages=[
|
||||
{"role": "user", "content": prompt}
|
||||
],
|
||||
temperature=0.7,
|
||||
max_tokens=12000,
|
||||
)
|
||||
|
||||
if response and response.choices:
|
||||
return response.choices[0].message.content
|
||||
|
||||
return ""
|
||||
|
||||
except ImportError:
|
||||
print("请安装 openai 库: pip install openai")
|
||||
return ""
|
||||
except Exception as e:
|
||||
print(f"调用 LLM 失败: {e}")
|
||||
return ""
|
||||
|
||||
def _save_as_markdown(self, markdown_content: str, task_name: str, file_path: str):
|
||||
"""将 Markdown 内容保存为文件"""
|
||||
try:
|
||||
# 在内容前添加标题（如果还没有的话）
|
||||
if not markdown_content.strip().startswith('# '):
|
||||
markdown_content = f"# {task_name}\n\n{markdown_content}"
|
||||
|
||||
# 添加时间戳
|
||||
timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
|
||||
footer = f"\n\n---\n*导出时间: {timestamp}*"
|
||||
|
||||
# 如果内容末尾没有明显的分隔符，添加分隔符
|
||||
if not markdown_content.rstrip().endswith('---'):
|
||||
markdown_content = markdown_content.rstrip() + footer
|
||||
else:
|
||||
# 已有分隔符，在它之前添加时间戳
|
||||
markdown_content = markdown_content.rstrip() + footer
|
||||
|
||||
with open(file_path, 'w', encoding='utf-8') as f:
|
||||
f.write(markdown_content)
|
||||
|
||||
print(f"Markdown 文件已保存: {file_path}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"保存 Markdown 文件失败: {e}")
|
||||
raise
|
||||
@@ -1,374 +0,0 @@
|
||||
"""
|
||||
思维导图 LLM 导出器
|
||||
调用大模型生成专业的任务执行思维导图
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
from datetime import datetime
|
||||
from typing import Dict, Any
|
||||
|
||||
|
||||
class MindmapLLMExporter:
|
||||
"""思维导图 LLM 导出器 - 调用大模型生成思维导图"""
|
||||
|
||||
LLM_CONFIG = {
|
||||
'OPENAI_API_BASE': None,
|
||||
'OPENAI_API_KEY': None,
|
||||
'OPENAI_API_MODEL': None,
|
||||
}
|
||||
|
||||
PROMPT_TEMPLATE = """你是一位专业的项目管理顾问和可视化设计师。你的任务是将以下任务执行数据生成一份结构清晰、层次分明的思维导图。
|
||||
|
||||
## 任务基本信息
|
||||
- 任务名称：{task_name}
|
||||
|
||||
## 任务大纲（规划阶段）
|
||||
{task_outline}
|
||||
|
||||
## 执行结果
|
||||
{rehearsal_log}
|
||||
|
||||
## 参与智能体
|
||||
{agents}
|
||||
|
||||
## 智能体评分
|
||||
{agent_scores}
|
||||
|
||||
---
|
||||
|
||||
## 思维导图要求
|
||||
|
||||
请生成一份完整的思维导图，包含以下核心分支：
|
||||
|
||||
### 1. 任务概述
|
||||
- 任务背景与目标
|
||||
- 任务范围
|
||||
|
||||
### 2. 任务规划
|
||||
- 任务拆解
|
||||
- 智能体角色分配
|
||||
- 工作流程设计
|
||||
|
||||
### 3. 执行过程
|
||||
- 各阶段的完成情况
|
||||
- 关键决策点
|
||||
- 遇到的问题及解决方案
|
||||
|
||||
### 4. 成果产出
|
||||
- 产出物列表
|
||||
- 质量评估
|
||||
|
||||
### 5. 团队协作
|
||||
- 智能体之间的协作模式
|
||||
- 信息传递效率
|
||||
|
||||
### 6. 质量评估
|
||||
- 整体评分
|
||||
- 各维度评分
|
||||
|
||||
### 7. 经验与改进
|
||||
- 成功经验
|
||||
- 改进建议
|
||||
|
||||
---
|
||||
|
||||
## 输出格式要求
|
||||
请直接输出 JSON 格式，不要包含任何 Markdown 标记。JSON 结构如下：
|
||||
```json
|
||||
{{
|
||||
"title": "思维导图标题",
|
||||
"root": "中心主题",
|
||||
"branches": [
|
||||
{{
|
||||
"name": "分支主题名称",
|
||||
"children": [
|
||||
{{
|
||||
"name": "子主题名称",
|
||||
"children": [
|
||||
{{"name": "具体内容1"}},
|
||||
{{"name": "具体内容2"}}
|
||||
]
|
||||
}}
|
||||
]
|
||||
}},
|
||||
{{
|
||||
"name": "另一个分支主题",
|
||||
"children": [
|
||||
{{"name": "子主题A"}},
|
||||
{{"name": "子主题B"}}
|
||||
]
|
||||
}}
|
||||
]
|
||||
}}
|
||||
```
|
||||
|
||||
注意：
|
||||
- 思维导图层次分明，每个分支至少有 2-3 层深度
|
||||
- 内容简洁，每个节点字数控制在 50-100 字以内
|
||||
- 使用简体中文
|
||||
- 确保 JSON 格式正确，不要有语法错误
|
||||
- 不要生成"报告总字数"这样的统计信息
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
self._load_llm_config()
|
||||
|
||||
def _load_llm_config(self):
|
||||
"""从配置文件加载 LLM 配置"""
|
||||
try:
|
||||
import yaml
|
||||
possible_paths = [
|
||||
os.path.join(os.path.dirname(os.path.dirname(__file__)), 'config', 'config.yaml'),
|
||||
os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'backend', 'config', 'config.yaml'),
|
||||
os.path.join(os.getcwd(), 'config', 'config.yaml'),
|
||||
]
|
||||
|
||||
for config_path in possible_paths:
|
||||
if os.path.exists(config_path):
|
||||
with open(config_path, 'r', encoding='utf-8') as f:
|
||||
config = yaml.safe_load(f)
|
||||
if config:
|
||||
self.LLM_CONFIG['OPENAI_API_BASE'] = config.get('OPENAI_API_BASE')
|
||||
self.LLM_CONFIG['OPENAI_API_KEY'] = config.get('OPENAI_API_KEY')
|
||||
self.LLM_CONFIG['OPENAI_API_MODEL'] = config.get('OPENAI_API_MODEL')
|
||||
print(f"已加载 LLM 配置: {self.LLM_CONFIG['OPENAI_API_MODEL']}")
|
||||
return
|
||||
except Exception as e:
|
||||
print(f"加载 LLM 配置失败: {e}")
|
||||
|
||||
def generate(self, task_data: Dict[str, Any], file_path: str) -> bool:
|
||||
"""生成思维导图（调用 LLM 生成）"""
|
||||
try:
|
||||
task_name = task_data.get('task_name', '未命名任务')
|
||||
task_outline = task_data.get('task_outline')
|
||||
rehearsal_log = task_data.get('rehearsal_log')
|
||||
agent_scores = task_data.get('agent_scores')
|
||||
|
||||
agents = self._extract_agents(task_outline)
|
||||
filtered_agent_scores = self._filter_agent_scores(agent_scores, agents)
|
||||
|
||||
task_outline_str = json.dumps(task_outline, ensure_ascii=False, indent=2) if task_outline else '无'
|
||||
rehearsal_log_str = json.dumps(rehearsal_log, ensure_ascii=False, indent=2) if rehearsal_log else '无'
|
||||
agents_str = ', '.join(agents) if agents else '无'
|
||||
agent_scores_str = json.dumps(filtered_agent_scores, ensure_ascii=False, indent=2) if filtered_agent_scores else '无'
|
||||
|
||||
prompt = self.PROMPT_TEMPLATE.format(
|
||||
task_name=task_name,
|
||||
task_outline=task_outline_str,
|
||||
rehearsal_log=rehearsal_log_str,
|
||||
agents=agents_str,
|
||||
agent_scores=agent_scores_str
|
||||
)
|
||||
|
||||
print("正在调用大模型生成思维导图...")
|
||||
mindmap_json_str = self._call_llm(prompt)
|
||||
|
||||
if not mindmap_json_str:
|
||||
print("LLM 生成思维导图失败")
|
||||
return False
|
||||
|
||||
print(f"思维导图内容生成成功，长度: {len(mindmap_json_str)} 字符")
|
||||
self._create_mindmap_from_json(mindmap_json_str, file_path, task_name)
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"思维导图 LLM 导出失败: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
def _extract_agents(self, task_outline: Any) -> list:
|
||||
"""从 task_outline 中提取参与智能体列表"""
|
||||
agents = set()
|
||||
if not task_outline or not isinstance(task_outline, dict):
|
||||
return []
|
||||
|
||||
collaboration_process = task_outline.get('Collaboration Process', [])
|
||||
if not collaboration_process or not isinstance(collaboration_process, list):
|
||||
return []
|
||||
|
||||
for step in collaboration_process:
|
||||
if isinstance(step, dict):
|
||||
agent_selection = step.get('AgentSelection', [])
|
||||
if isinstance(agent_selection, list):
|
||||
for agent in agent_selection:
|
||||
if agent:
|
||||
agents.add(agent)
|
||||
return list(agents)
|
||||
|
||||
def _filter_agent_scores(self, agent_scores: Any, agents: list) -> dict:
|
||||
"""过滤 agent_scores，只保留参与当前任务的智能体评分"""
|
||||
if not agent_scores or not isinstance(agent_scores, dict):
|
||||
return {}
|
||||
if not agents:
|
||||
return {}
|
||||
|
||||
filtered = {}
|
||||
for step_id, step_data in agent_scores.items():
|
||||
if not isinstance(step_data, dict):
|
||||
continue
|
||||
aspect_list = step_data.get('aspectList', [])
|
||||
agent_scores_data = step_data.get('agentScores', {})
|
||||
if not agent_scores_data:
|
||||
continue
|
||||
filtered_scores = {}
|
||||
for agent_name, scores in agent_scores_data.items():
|
||||
if agent_name in agents and isinstance(scores, dict):
|
||||
filtered_scores[agent_name] = scores
|
||||
if filtered_scores:
|
||||
filtered[step_id] = {'aspectList': aspect_list, 'agentScores': filtered_scores}
|
||||
return filtered
|
||||
|
||||
def _call_llm(self, prompt: str) -> str:
|
||||
"""调用大模型 API 生成思维导图"""
|
||||
try:
|
||||
import openai
|
||||
|
||||
if not self.LLM_CONFIG['OPENAI_API_KEY']:
|
||||
print("错误: OPENAI_API_KEY 未配置")
|
||||
return ""
|
||||
if not self.LLM_CONFIG['OPENAI_API_BASE']:
|
||||
print("错误: OPENAI_API_BASE 未配置")
|
||||
return ""
|
||||
if not self.LLM_CONFIG['OPENAI_API_MODEL']:
|
||||
print("错误: OPENAI_API_MODEL 未配置")
|
||||
return ""
|
||||
|
||||
client = openai.OpenAI(
|
||||
api_key=self.LLM_CONFIG['OPENAI_API_KEY'],
|
||||
base_url=self.LLM_CONFIG['OPENAI_API_BASE']
|
||||
)
|
||||
|
||||
response = client.chat.completions.create(
|
||||
model=self.LLM_CONFIG['OPENAI_API_MODEL'],
|
||||
messages=[{"role": "user", "content": prompt}],
|
||||
temperature=0.7,
|
||||
max_tokens=8000,
|
||||
)
|
||||
|
||||
if response and response.choices:
|
||||
return response.choices[0].message.content
|
||||
return ""
|
||||
|
||||
except ImportError:
|
||||
print("请安装 openai 库: pip install openai")
|
||||
return ""
|
||||
except Exception as e:
|
||||
print(f"调用 LLM 失败: {e}")
|
||||
return ""
|
||||
|
||||
def _fix_json_string(self, json_str: str) -> str:
|
||||
"""修复常见的 JSON 语法错误"""
|
||||
import re
|
||||
|
||||
json_str = json_str.strip()
|
||||
|
||||
json_str = re.sub(r',\s*}', '}', json_str)
|
||||
json_str = re.sub(r',\s*]', ']', json_str)
|
||||
|
||||
json_str = re.sub(r'""', '"', json_str)
|
||||
|
||||
single_quotes = re.findall(r"'[^']*'", json_str)
|
||||
for sq in single_quotes:
|
||||
if '"' not in sq:
|
||||
json_str = json_str.replace(sq, sq.replace("'", '"'))
|
||||
|
||||
trailing_comma_pattern = re.compile(r',(\s*[}\]])')
|
||||
json_str = trailing_comma_pattern.sub(r'\1', json_str)
|
||||
|
||||
unquoted_key_pattern = re.compile(r'([{,]\s*)([a-zA-Z_][a-zA-Z0-9_]*)\s*:')
|
||||
def fix_unquoted_key(match):
|
||||
prefix = match.group(1)
|
||||
key = match.group(2)
|
||||
return f'{prefix}"{key}":'
|
||||
json_str = unquoted_key_pattern.sub(fix_unquoted_key, json_str)
|
||||
|
||||
unquoted_value_pattern = re.compile(r':\s*([a-zA-Z_][a-zA-Z0-9_]*)\s*([,}\]])')
|
||||
def replace_unquoted(match):
|
||||
value = match.group(1)
|
||||
end = match.group(2)
|
||||
if value.lower() in ('true', 'false', 'null'):
|
||||
return f': {value}{end}'
|
||||
else:
|
||||
return f': "{value}"{end}'
|
||||
json_str = unquoted_value_pattern.sub(replace_unquoted, json_str)
|
||||
|
||||
print(f"JSON 修复后长度: {len(json_str)} 字符")
|
||||
return json_str
|
||||
|
||||
def _create_mindmap_from_json(self, json_str: str, file_path: str, task_name: str):
|
||||
"""从 JSON 字符串创建思维导图（Markdown 格式）"""
|
||||
try:
|
||||
json_str = json_str.strip()
|
||||
if '```json' in json_str:
|
||||
json_str = json_str.split('```json')[1].split('```')[0]
|
||||
elif '```' in json_str:
|
||||
json_str = json_str.split('```')[1].split('```')[0]
|
||||
|
||||
json_str = self._fix_json_string(json_str)
|
||||
|
||||
mindmap_data = json.loads(json_str)
|
||||
|
||||
# 生成 Markdown 格式
|
||||
markdown_content = self._generate_markdown(mindmap_data, task_name)
|
||||
with open(file_path, 'w', encoding='utf-8') as f:
|
||||
f.write(markdown_content)
|
||||
|
||||
print(f"思维导图已保存: {file_path}")
|
||||
|
||||
except json.JSONDecodeError as e:
|
||||
print(f"JSON 解析失败: {e}")
|
||||
raise
|
||||
except Exception as e:
|
||||
print(f"创建思维导图失败: {e}")
|
||||
raise
|
||||
|
||||
def _generate_markdown(self, mindmap_data: dict, task_name: str) -> str:
|
||||
"""将思维导图数据转换为 Markdown 格式（markmap 兼容）"""
|
||||
lines = []
|
||||
|
||||
# 直接使用无序列表，不需要标题和代码块包裹
|
||||
# 根节点使用 2 个空格缩进
|
||||
lines.append(f" - {task_name}")
|
||||
|
||||
branches = mindmap_data.get('branches', [])
|
||||
for branch in branches:
|
||||
# 一级分支使用 4 个空格缩进（比根节点多 2 个空格，是根节点的子节点）
|
||||
self._add_branch(branch, lines, indent=4)
|
||||
|
||||
return '\n'.join(lines)
|
||||
|
||||
def _add_branch(self, branch: dict, lines: list, indent: int = 2):
|
||||
"""递归添加分支到思维导图"""
|
||||
name = branch.get('name', '')
|
||||
if not name:
|
||||
return
|
||||
|
||||
prefix = ' ' * indent
|
||||
lines.append(f"{prefix}- {name}")
|
||||
|
||||
children = branch.get('children', [])
|
||||
if children:
|
||||
for child in children:
|
||||
if isinstance(child, dict):
|
||||
self._add_child_node(child, lines, indent + 2)
|
||||
else:
|
||||
lines.append(f"{' ' * (indent + 2)}- {child}")
|
||||
|
||||
def _add_child_node(self, child: dict, lines: list, indent: int):
|
||||
"""添加子节点"""
|
||||
name = child.get('name', '')
|
||||
if not name:
|
||||
return
|
||||
|
||||
prefix = ' ' * indent
|
||||
lines.append(f"{prefix}- {name}")
|
||||
|
||||
children = child.get('children', [])
|
||||
if children:
|
||||
for grandchild in children:
|
||||
if isinstance(grandchild, dict):
|
||||
self._add_child_node(grandchild, lines, indent + 2)
|
||||
else:
|
||||
lines.append(f"{' ' * (indent + 2)}- {grandchild}")
|
||||
@@ -1,772 +0,0 @@
|
||||
"""
|
||||
PowerPoint 演示文稿 LLM 导出器
|
||||
调用大模型生成专业的任务执行演示文稿
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
from datetime import datetime
|
||||
from typing import Dict, Any
|
||||
|
||||
from pptx import Presentation
|
||||
from pptx.util import Inches, Pt
|
||||
from pptx.enum.text import PP_ALIGN
|
||||
from pptx.chart.data import CategoryChartData
|
||||
from pptx.enum.chart import XL_CHART_TYPE
|
||||
|
||||
|
||||
class PptLLMExporter:
|
||||
"""PowerPoint 演示文稿 LLM 导出器 - 调用大模型生成 PPT"""
|
||||
|
||||
# LLM 配置（从 config.yaml 加载）
|
||||
LLM_CONFIG = {
|
||||
'OPENAI_API_BASE': None,
|
||||
'OPENAI_API_KEY': None,
|
||||
'OPENAI_API_MODEL': None,
|
||||
}
|
||||
|
||||
# Prompt 模板 - 与 docx_llm.py 内容对齐
|
||||
PROMPT_TEMPLATE = """你是一位专业的项目管理顾问和演示文稿设计师。你的任务是将以下任务执行数据生成一份详细、专业的 PowerPoint 演示文稿内容。
|
||||
|
||||
## 任务基本信息
|
||||
- 任务名称：{task_name}
|
||||
|
||||
## 任务大纲（规划阶段）
|
||||
{task_outline}
|
||||
|
||||
## 执行结果
|
||||
{execution_results}
|
||||
|
||||
## 参与智能体
|
||||
{agents}
|
||||
|
||||
## 智能体评分
|
||||
{agent_scores}
|
||||
|
||||
---
|
||||
|
||||
## 演示文稿要求
|
||||
|
||||
请生成一份完整的演示文稿，包含以下幻灯片（共11页）：
|
||||
|
||||
1. 封面页：标题、用户ID、日期
|
||||
2. 目录页：5个主要章节（其他作为小点）
|
||||
3. 执行摘要：任务整体执行情况概述
|
||||
4. 任务概述：任务背景与目标、任务范围与边界
|
||||
5. 任务规划分析：任务拆解的合理性、智能体角色分配的优化建议、工作流程设计
|
||||
6. 执行过程回顾：各阶段的完成情况、关键决策点、遇到的问题及解决方案
|
||||
7. 成果产出分析：产出物的质量评估、产出与预期目标的匹配度
|
||||
8. 团队协作分析：智能体之间的协作模式、信息传递效率
|
||||
9. 质量评估：整体完成质量评分（1-10分）、各维度的具体评分及理由
|
||||
10. 经验教训与改进建议：成功经验、存在的问题与不足、改进建议
|
||||
11. 结束页：感谢语
|
||||
|
||||
---
|
||||
|
||||
## 输出格式要求
|
||||
请直接输出 JSON 格式，不要包含任何 Markdown 标记。JSON 结构如下：
|
||||
```json
|
||||
{{
|
||||
"title": "{task_name}",
|
||||
"user_id": "{user_id}",
|
||||
"date": "{date}",
|
||||
"slides": [
|
||||
{{
|
||||
"type": "title",
|
||||
"title": "主标题",
|
||||
"user_id": "用户ID",
|
||||
"date": "日期"
|
||||
}},
|
||||
{{
|
||||
"type": "toc",
|
||||
"title": "目录",
|
||||
"sections": [
|
||||
{{"title": "一、执行摘要", "subs": []}},
|
||||
{{"title": "二、任务概述与规划", "subs": ["任务背景与目标", "任务范围与边界", "任务拆解", "智能体角色"]}},
|
||||
{{"title": "三、执行过程与成果", "subs": ["阶段完成情况", "关键决策点", "产出质量", "目标匹配度"]}},
|
||||
{{"title": "四、团队协作与质量评估", "subs": ["协作模式", "信息传递", "质量评分"]}},
|
||||
{{"title": "五、经验建议与总结", "subs": ["成功经验", "问题与不足", "改进建议"]}}
|
||||
]
|
||||
}},
|
||||
{{
|
||||
"type": "content",
|
||||
"title": "执行摘要",
|
||||
"bullets": ["要点1", "要点2", "要点3"]
|
||||
}},
|
||||
{{
|
||||
"type": "content",
|
||||
"title": "任务概述",
|
||||
"bullets": ["任务背景与目标", "任务范围与边界"]
|
||||
}},
|
||||
{{
|
||||
"type": "content",
|
||||
"title": "任务规划分析",
|
||||
"bullets": ["任务拆解的合理性", "智能体角色分配", "工作流程设计"]
|
||||
}},
|
||||
{{
|
||||
"type": "content",
|
||||
"title": "执行过程回顾",
|
||||
"bullets": ["各阶段完成情况", "关键决策点", "遇到的问题及解决方案"]
|
||||
}},
|
||||
{{
|
||||
"type": "content",
|
||||
"title": "成果产出分析",
|
||||
"bullets": ["产出物质量评估", "与预期目标匹配度"]
|
||||
}},
|
||||
{{
|
||||
"type": "content",
|
||||
"title": "团队协作分析",
|
||||
"bullets": ["智能体协作模式", "信息传递效率"]
|
||||
}},
|
||||
{{
|
||||
"type": "content",
|
||||
"title": "质量评估",
|
||||
"bullets": ["整体评分（1-10分）", "各维度评分及理由"]
|
||||
}},
|
||||
{{
|
||||
"type": "content",
|
||||
"title": "经验教训与改进建议",
|
||||
"bullets": ["成功经验", "存在的问题与不足", "改进建议"]
|
||||
}},
|
||||
{{
|
||||
"type": "ending",
|
||||
"title": "感谢聆听"
|
||||
}},
|
||||
{{
|
||||
"type": "table",
|
||||
"title": "质量评分表",
|
||||
"headers": ["维度", "评分", "说明"],
|
||||
"rows": [["整体质量", "8.5", "表现优秀"], ["协作效率", "7.5", "有待提升"]]
|
||||
}},
|
||||
{{
|
||||
"type": "chart",
|
||||
"title": "任务完成进度",
|
||||
"chart_type": "bar",
|
||||
"categories": ["规划阶段", "执行阶段", "评估阶段"],
|
||||
"series": [
|
||||
{{"name": "完成度", "values": [100, 85, 90]}}
|
||||
]
|
||||
}}
|
||||
]
|
||||
}}
|
||||
```
|
||||
|
||||
**重要说明：**
|
||||
1. **幻灯片顺序**：slides 数组中的幻灯片顺序必须严格按照以下顺序：
|
||||
- 第1页：type="title" 封面页
|
||||
- 第2页：type="toc" 目录页
|
||||
- 第3-10页：type="content" 内容页（8页左右）
|
||||
- 第11-14页：type="table" 或 "chart" 表格/图表页
|
||||
- 最后一页：type="ending" 结束页
|
||||
|
||||
2. **每张幻灯片必须包含完整的字段**：
|
||||
- `content` 类型必须有 `title` 和 `bullets` 数组
|
||||
- `table` 类型必须有 `title`、`headers` 数组和 `rows` 数组
|
||||
- `chart` 类型必须有 `title`、`chart_type`、`categories` 数组和 `series` 数组
|
||||
- `ending` 类型必须有 `title`
|
||||
|
||||
3. **禁止出现"单击此处添加标题"**：所有幻灯片都必须填写完整内容，不能留空
|
||||
|
||||
注意：
|
||||
- 幻灯片数量为11-15 页
|
||||
- 每页内容详细一点，使用要点式呈现，需要表格或者图表增强可读性
|
||||
- 不要生成"报告总字数"这样的统计信息
|
||||
- 所有文字使用简体中文
|
||||
- 根据实际任务数据生成内容，不是编造
|
||||
- **禁止使用中文引号「」『』""** ，所有引号必须是英文双引号 ""
|
||||
- user_id 填写：{user_id}
|
||||
- date 填写：{date}
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
self._load_llm_config()
|
||||
|
||||
def _load_llm_config(self):
|
||||
"""从配置文件加载 LLM 配置"""
|
||||
try:
|
||||
import yaml
|
||||
possible_paths = [
|
||||
os.path.join(os.path.dirname(os.path.dirname(__file__)), 'config', 'config.yaml'),
|
||||
os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'backend', 'config', 'config.yaml'),
|
||||
os.path.join(os.getcwd(), 'config', 'config.yaml'),
|
||||
]
|
||||
|
||||
for config_path in possible_paths:
|
||||
if os.path.exists(config_path):
|
||||
with open(config_path, 'r', encoding='utf-8') as f:
|
||||
config = yaml.safe_load(f)
|
||||
if config:
|
||||
self.LLM_CONFIG['OPENAI_API_BASE'] = config.get('OPENAI_API_BASE')
|
||||
self.LLM_CONFIG['OPENAI_API_KEY'] = config.get('OPENAI_API_KEY')
|
||||
self.LLM_CONFIG['OPENAI_API_MODEL'] = config.get('OPENAI_API_MODEL')
|
||||
print(f"已加载 LLM 配置: {self.LLM_CONFIG['OPENAI_API_MODEL']}")
|
||||
return
|
||||
except Exception as e:
|
||||
print(f"加载 LLM 配置失败: {e}")
|
||||
|
||||
def generate(self, task_data: Dict[str, Any], file_path: str) -> bool:
|
||||
"""生成 PowerPoint 演示文稿（调用 LLM 生成）"""
|
||||
try:
|
||||
task_name = task_data.get('task_name', '未命名任务')
|
||||
task_content = task_data.get('task_content', '')
|
||||
task_outline = task_data.get('task_outline')
|
||||
rehearsal_log = task_data.get('rehearsal_log')
|
||||
agent_scores = task_data.get('agent_scores')
|
||||
user_id = task_data.get('user_id', '')
|
||||
date = task_data.get('date', '')
|
||||
|
||||
agents = self._extract_agents(task_outline)
|
||||
filtered_agent_scores = self._filter_agent_scores(agent_scores, agents)
|
||||
|
||||
task_outline_str = json.dumps(task_outline, ensure_ascii=False, indent=2) if task_outline else '无'
|
||||
rehearsal_log_str = json.dumps(rehearsal_log, ensure_ascii=False, indent=2) if rehearsal_log else '无'
|
||||
agents_str = ', '.join(agents) if agents else '无'
|
||||
agent_scores_str = json.dumps(filtered_agent_scores, ensure_ascii=False, indent=2) if filtered_agent_scores else '无'
|
||||
|
||||
prompt = self.PROMPT_TEMPLATE.format(
|
||||
task_name=task_name,
|
||||
task_content=task_content,
|
||||
task_outline=task_outline_str,
|
||||
execution_results=rehearsal_log_str,
|
||||
agents=agents_str,
|
||||
agent_scores=agent_scores_str,
|
||||
user_id=user_id,
|
||||
date=date
|
||||
)
|
||||
|
||||
print("正在调用大模型生成 PPT 内容...")
|
||||
ppt_json_str = self._call_llm(prompt)
|
||||
|
||||
if not ppt_json_str:
|
||||
print("LLM 生成 PPT 失败")
|
||||
return False
|
||||
|
||||
print(f"PPT 内容生成成功，长度: {len(ppt_json_str)} 字符")
|
||||
self._create_ppt_from_json(ppt_json_str, file_path, task_name)
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"PPT LLM 导出失败: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
def _extract_agents(self, task_outline: Any) -> list:
|
||||
agents = set()
|
||||
if not task_outline or not isinstance(task_outline, dict):
|
||||
return []
|
||||
|
||||
collaboration_process = task_outline.get('Collaboration Process', [])
|
||||
if not collaboration_process or not isinstance(collaboration_process, list):
|
||||
return []
|
||||
|
||||
for step in collaboration_process:
|
||||
if isinstance(step, dict):
|
||||
agent_selection = step.get('AgentSelection', [])
|
||||
if isinstance(agent_selection, list):
|
||||
for agent in agent_selection:
|
||||
if agent:
|
||||
agents.add(agent)
|
||||
return list(agents)
|
||||
|
||||
def _filter_agent_scores(self, agent_scores: Any, agents: list) -> dict:
|
||||
if not agent_scores or not isinstance(agent_scores, dict):
|
||||
return {}
|
||||
if not agents:
|
||||
return {}
|
||||
|
||||
filtered = {}
|
||||
for step_id, step_data in agent_scores.items():
|
||||
if not isinstance(step_data, dict):
|
||||
continue
|
||||
aspect_list = step_data.get('aspectList', [])
|
||||
agent_scores_data = step_data.get('agentScores', {})
|
||||
if not agent_scores_data:
|
||||
continue
|
||||
filtered_scores = {}
|
||||
for agent_name, scores in agent_scores_data.items():
|
||||
if agent_name in agents and isinstance(scores, dict):
|
||||
filtered_scores[agent_name] = scores
|
||||
if filtered_scores:
|
||||
filtered[step_id] = {'aspectList': aspect_list, 'agentScores': filtered_scores}
|
||||
return filtered
|
||||
|
||||
def _call_llm(self, prompt: str) -> str:
|
||||
try:
|
||||
import openai
|
||||
if not self.LLM_CONFIG['OPENAI_API_KEY']:
|
||||
print("错误: OPENAI_API_KEY 未配置")
|
||||
return ""
|
||||
if not self.LLM_CONFIG['OPENAI_API_BASE']:
|
||||
print("错误: OPENAI_API_BASE 未配置")
|
||||
return ""
|
||||
if not self.LLM_CONFIG['OPENAI_API_MODEL']:
|
||||
print("错误: OPENAI_API_MODEL 未配置")
|
||||
return ""
|
||||
|
||||
client = openai.OpenAI(
|
||||
api_key=self.LLM_CONFIG['OPENAI_API_KEY'],
|
||||
base_url=self.LLM_CONFIG['OPENAI_API_BASE']
|
||||
)
|
||||
|
||||
response = client.chat.completions.create(
|
||||
model=self.LLM_CONFIG['OPENAI_API_MODEL'],
|
||||
messages=[{"role": "user", "content": prompt}],
|
||||
temperature=0.7,
|
||||
max_tokens=8000,
|
||||
)
|
||||
|
||||
if response and response.choices:
|
||||
return response.choices[0].message.content
|
||||
return ""
|
||||
|
||||
except ImportError:
|
||||
print("请安装 openai 库: pip install openai")
|
||||
return ""
|
||||
except Exception as e:
|
||||
print(f"调用 LLM 失败: {e}")
|
||||
return ""
|
||||
|
||||
def _fix_json_string(self, json_str: str) -> str:
|
||||
"""修复常见的 JSON 语法错误"""
|
||||
import re
|
||||
|
||||
json_str = json_str.strip()
|
||||
|
||||
# 首先尝试提取 JSON 代码块
|
||||
if '```json' in json_str:
|
||||
json_str = json_str.split('```json')[1].split('```')[0]
|
||||
elif '```' in json_str:
|
||||
# 检查是否有结束标记
|
||||
parts = json_str.split('```')
|
||||
if len(parts) >= 3:
|
||||
json_str = parts[1]
|
||||
else:
|
||||
# 没有结束标记，可能是代码块内容
|
||||
json_str = parts[1] if len(parts) > 1 else json_str
|
||||
|
||||
json_str = json_str.strip()
|
||||
|
||||
# 关键修复：处理中文双引号包含英文双引号的情况
|
||||
# 例如："工作流程采用"提出-评估-改进"的模式"
|
||||
# 需要：找到中文引号对，去除它们，同时转义内部的英文引号
|
||||
import re
|
||||
|
||||
# 中文引号 Unicode
|
||||
CHINESE_LEFT = '\u201c' # "
|
||||
CHINESE_RIGHT = '\u201d' # "
|
||||
|
||||
# 使用正则匹配中文引号对之间的内容，并处理内部的英文引号
|
||||
# 匹配 "内容" 格式（中文引号对）
|
||||
pattern = re.compile(r'(\u201c)(.*?)(\u201d)')
|
||||
def replace_chinese_quotes(match):
|
||||
content = match.group(2)
|
||||
# 将内部未转义的英文双引号转义
|
||||
content = re.sub(r'(?<!\\)"', r'\\"', content)
|
||||
return content
|
||||
|
||||
json_str = pattern.sub(replace_chinese_quotes, json_str)
|
||||
|
||||
# 现在移除所有中文引号字符（已经被处理过了）
|
||||
json_str = json_str.replace(CHINESE_LEFT, '')
|
||||
json_str = json_str.replace(CHINESE_RIGHT, '')
|
||||
json_str = json_str.replace('\u2018', "'") # 中文左单引号 '
|
||||
json_str = json_str.replace('\u2019', "'") # 中文右单引号 '
|
||||
|
||||
# 移除行尾的逗号（trailing comma）
|
||||
json_str = re.sub(r',\s*}', '}', json_str)
|
||||
json_str = re.sub(r',\s*]', ']', json_str)
|
||||
|
||||
# 修复空字符串
|
||||
json_str = re.sub(r'""', '"', json_str)
|
||||
|
||||
# 修复单引号
|
||||
single_quotes = re.findall(r"'[^']*'", json_str)
|
||||
for sq in single_quotes:
|
||||
if '"' not in sq:
|
||||
json_str = json_str.replace(sq, sq.replace("'", '"'))
|
||||
|
||||
# 移除 trailing comma
|
||||
trailing_comma_pattern = re.compile(r',(\s*[}\]])')
|
||||
json_str = trailing_comma_pattern.sub(r'\1', json_str)
|
||||
|
||||
# 修复未加引号的 key
|
||||
unquoted_key_pattern = re.compile(r'([{,]\s*)([a-zA-Z_][a-zA-Z0-9_]*)\s*:')
|
||||
def fix_unquoted_key(match):
|
||||
prefix = match.group(1)
|
||||
key = match.group(2)
|
||||
return f'{prefix}"{key}":'
|
||||
json_str = unquoted_key_pattern.sub(fix_unquoted_key, json_str)
|
||||
|
||||
# 修复未加引号的值（但保留 true/false/null）
|
||||
unquoted_value_pattern = re.compile(r':\s*([a-zA-Z_][a-zA-Z0-9_]*)\s*([,}\]])')
|
||||
def replace_unquoted(match):
|
||||
value = match.group(1)
|
||||
end = match.group(2)
|
||||
if value.lower() in ('true', 'false', 'null'):
|
||||
return f': {value}{end}'
|
||||
else:
|
||||
return f': "{value}"{end}'
|
||||
json_str = unquoted_value_pattern.sub(replace_unquoted, json_str)
|
||||
|
||||
# 新增：修复多余的逗号（连续逗号）
|
||||
json_str = re.sub(r',,+,', ',', json_str)
|
||||
|
||||
# 新增：修复缺少冒号的情况（key 后面没有冒号）
|
||||
# 匹配 "key" value 而不是 "key": value
|
||||
json_str = re.sub(r'(\"[^\"]+\")\s+([\[{])', r'\1: \2', json_str)
|
||||
|
||||
# 新增：尝试修复换行符问题，将单个 \n 替换为 \\n
|
||||
# 但这可能会导致问题，所以先注释掉
|
||||
# json_str = json_str.replace('\n', '\\n')
|
||||
|
||||
# 新增：移除可能的 BOM 或不可见字符
|
||||
json_str = json_str.replace('\ufeff', '')
|
||||
|
||||
print(f"JSON 修复后长度: {len(json_str)} 字符")
|
||||
return json_str
|
||||
|
||||
def _create_ppt_from_json(self, json_str: str, file_path: str, task_name: str):
|
||||
"""从 JSON 字符串创建 PPT（直接创建，不使用模板）"""
|
||||
try:
|
||||
json_str = json_str.strip()
|
||||
if '```json' in json_str:
|
||||
json_str = json_str.split('```json')[1].split('```')[0]
|
||||
elif '```' in json_str:
|
||||
json_str = json_str.split('```')[1].split('```')[0]
|
||||
|
||||
json_str = self._fix_json_string(json_str)
|
||||
|
||||
# 尝试解析，失败时输出更多信息帮助调试
|
||||
try:
|
||||
replace_data = json.loads(json_str)
|
||||
except json.JSONDecodeError as e:
|
||||
# 输出错误位置附近的 JSON 内容帮助调试
|
||||
print(f"JSON 解析失败: {e}")
|
||||
print(f"错误位置: 第 {e.lineno} 行, 第 {e.colno} 列")
|
||||
start = max(0, e.pos - 100)
|
||||
end = min(len(json_str), e.pos + 100)
|
||||
context = json_str[start:end]
|
||||
print(f"错误上下文: ...{context}...")
|
||||
raise
|
||||
|
||||
# 直接创建空白演示文稿，不使用模板
|
||||
prs = Presentation()
|
||||
prs.slide_width = Inches(13.333)
|
||||
prs.slide_height = Inches(7.5)
|
||||
|
||||
slides_data = replace_data.get('slides', [])
|
||||
|
||||
# 分离 ending 幻灯片和其他幻灯片，确保 ending 在最后
|
||||
ending_slides = [s for s in slides_data if s.get('type') == 'ending']
|
||||
other_slides = [s for s in slides_data if s.get('type') != 'ending']
|
||||
|
||||
# 先创建其他幻灯片
|
||||
for slide_data in other_slides:
|
||||
slide_type = slide_data.get('type', 'content')
|
||||
|
||||
if slide_type == 'title':
|
||||
self._add_title_slide(prs, slide_data)
|
||||
elif slide_type == 'toc':
|
||||
self._add_toc_slide(prs, slide_data)
|
||||
elif slide_type == 'content':
|
||||
self._add_content_slide(prs, slide_data)
|
||||
elif slide_type == 'two_column':
|
||||
self._add_two_column_slide(prs, slide_data)
|
||||
elif slide_type == 'table':
|
||||
self._add_table_slide(prs, slide_data)
|
||||
elif slide_type == 'chart':
|
||||
self._add_chart_slide(prs, slide_data)
|
||||
|
||||
# 最后创建 ending 幻灯片
|
||||
for slide_data in ending_slides:
|
||||
self._add_ending_slide(prs, slide_data)
|
||||
|
||||
prs.save(file_path)
|
||||
print(f"PowerPoint 已保存: {file_path}")
|
||||
|
||||
except ImportError:
|
||||
print("请安装 python-pptx 库: pip install python-pptx")
|
||||
raise
|
||||
except json.JSONDecodeError as e:
|
||||
print(f"JSON 解析失败: {e}")
|
||||
raise
|
||||
except Exception as e:
|
||||
print(f"创建 PPT 失败: {e}")
|
||||
raise
|
||||
|
||||
def _add_title_slide(self, prs, data):
|
||||
"""添加封面页"""
|
||||
slide_layout = prs.slide_layouts[6] # 空白布局
|
||||
slide = prs.slides.add_slide(slide_layout)
|
||||
|
||||
# 删除默认的占位符形状
|
||||
for shape in list(slide.shapes):
|
||||
if shape.has_text_frame and shape.text_frame.text.strip() in ['单击此处添加标题', '单击此处添加内容', 'Click to add title', 'Click to add text']:
|
||||
slide.shapes.remove(shape)
|
||||
|
||||
# 主标题
|
||||
title_box = slide.shapes.add_textbox(Inches(0.5), Inches(2.5), Inches(12.333), Inches(1.5))
|
||||
tf = title_box.text_frame
|
||||
p = tf.paragraphs[0]
|
||||
p.text = data.get('title', '')
|
||||
p.font.size = Pt(44)
|
||||
p.font.bold = True
|
||||
p.alignment = PP_ALIGN.CENTER
|
||||
|
||||
# 用户ID
|
||||
user_id_box = slide.shapes.add_textbox(Inches(0.5), Inches(4.2), Inches(12.333), Inches(0.5))
|
||||
tf = user_id_box.text_frame
|
||||
p = tf.paragraphs[0]
|
||||
p.text = f"用户ID: {data.get('user_id', '')}"
|
||||
p.font.size = Pt(18)
|
||||
p.alignment = PP_ALIGN.CENTER
|
||||
|
||||
# 日期
|
||||
date_box = slide.shapes.add_textbox(Inches(0.5), Inches(4.8), Inches(12.333), Inches(0.5))
|
||||
tf = date_box.text_frame
|
||||
p = tf.paragraphs[0]
|
||||
p.text = f"日期: {data.get('date', '')}"
|
||||
p.font.size = Pt(18)
|
||||
p.alignment = PP_ALIGN.CENTER
|
||||
|
||||
def _add_toc_slide(self, prs, data):
|
||||
"""添加目录页"""
|
||||
slide_layout = prs.slide_layouts[6] # 空白布局
|
||||
slide = prs.slides.add_slide(slide_layout)
|
||||
|
||||
# 删除默认的占位符形状
|
||||
for shape in list(slide.shapes):
|
||||
if shape.has_text_frame and shape.text_frame.text.strip() in ['单击此处添加标题', '单击此处添加内容', 'Click to add title', 'Click to add text']:
|
||||
slide.shapes.remove(shape)
|
||||
|
||||
# 标题
|
||||
title_box = slide.shapes.add_textbox(Inches(0.5), Inches(0.4), Inches(12.333), Inches(0.8))
|
||||
tf = title_box.text_frame
|
||||
p = tf.paragraphs[0]
|
||||
p.text = data.get('title', '目录')
|
||||
p.font.size = Pt(36)
|
||||
p.font.bold = True
|
||||
|
||||
# 目录内容 - 使用两栏布局
|
||||
content_box = slide.shapes.add_textbox(Inches(0.5), Inches(1.5), Inches(12.333), Inches(5.5))
|
||||
tf = content_box.text_frame
|
||||
tf.word_wrap = True
|
||||
|
||||
sections = data.get('sections', [])
|
||||
|
||||
for i, section in enumerate(sections):
|
||||
section_title = section.get('title', '')
|
||||
subs = section.get('subs', [])
|
||||
|
||||
if i == 0:
|
||||
p = tf.paragraphs[0]
|
||||
else:
|
||||
p = tf.add_paragraph()
|
||||
|
||||
# 大章节标题
|
||||
p.text = section_title
|
||||
p.level = 0
|
||||
p.font.size = Pt(20)
|
||||
p.font.bold = True
|
||||
|
||||
# 小点
|
||||
for sub in subs:
|
||||
p_sub = tf.add_paragraph()
|
||||
p_sub.text = sub
|
||||
p_sub.level = 1 # 次级缩进
|
||||
p_sub.font.size = Pt(16)
|
||||
|
||||
def _add_ending_slide(self, prs, data):
|
||||
"""添加结束页"""
|
||||
slide_layout = prs.slide_layouts[6] # 空白布局
|
||||
slide = prs.slides.add_slide(slide_layout)
|
||||
|
||||
# 删除默认的占位符形状
|
||||
for shape in list(slide.shapes):
|
||||
if shape.has_text_frame and shape.text_frame.text.strip() in ['单击此处添加标题', '单击此处添加内容', 'Click to add title', 'Click to add text']:
|
||||
slide.shapes.remove(shape)
|
||||
|
||||
# 结束语
|
||||
title_box = slide.shapes.add_textbox(Inches(0.5), Inches(3), Inches(12.333), Inches(1.5))
|
||||
tf = title_box.text_frame
|
||||
p = tf.paragraphs[0]
|
||||
p.text = data.get('title', '感谢聆听')
|
||||
p.font.size = Pt(44)
|
||||
p.font.bold = True
|
||||
p.alignment = PP_ALIGN.CENTER
|
||||
|
||||
def _add_content_slide(self, prs, data):
|
||||
"""添加内容页"""
|
||||
slide_layout = prs.slide_layouts[6] # 空白布局
|
||||
slide = prs.slides.add_slide(slide_layout)
|
||||
|
||||
# 删除默认的占位符形状（避免出现"单击此处添加标题"）
|
||||
for shape in list(slide.shapes):
|
||||
if shape.has_text_frame and shape.text_frame.text.strip() in ['单击此处添加标题', '单击此处添加内容', 'Click to add title', 'Click to add text']:
|
||||
slide.shapes.remove(shape)
|
||||
|
||||
# 标题
|
||||
title_box = slide.shapes.add_textbox(Inches(0.5), Inches(0.3), Inches(12.333), Inches(0.8))
|
||||
tf = title_box.text_frame
|
||||
p = tf.paragraphs[0]
|
||||
p.text = data.get('title', '')
|
||||
p.font.size = Pt(32)
|
||||
p.font.bold = True
|
||||
|
||||
# 内容
|
||||
content_box = slide.shapes.add_textbox(Inches(0.5), Inches(1.3), Inches(12.333), Inches(5.8))
|
||||
tf = content_box.text_frame
|
||||
tf.word_wrap = True
|
||||
|
||||
bullets = data.get('bullets', [])
|
||||
|
||||
for i, bullet in enumerate(bullets):
|
||||
if i == 0:
|
||||
p = tf.paragraphs[0]
|
||||
else:
|
||||
p = tf.add_paragraph()
|
||||
p.text = bullet
|
||||
p.level = 0
|
||||
p.font.size = Pt(18)
|
||||
|
||||
def _add_two_column_slide(self, prs, data):
|
||||
"""添加双栏内容页"""
|
||||
slide_layout = prs.slide_layouts[6] # 空白布局
|
||||
slide = prs.slides.add_slide(slide_layout)
|
||||
|
||||
# 删除默认的占位符形状
|
||||
for shape in list(slide.shapes):
|
||||
if shape.has_text_frame and shape.text_frame.text.strip() in ['单击此处添加标题', '单击此处添加内容', 'Click to add title', 'Click to add text']:
|
||||
slide.shapes.remove(shape)
|
||||
|
||||
# 标题
|
||||
title_box = slide.shapes.add_textbox(Inches(0.5), Inches(0.3), Inches(12.333), Inches(0.8))
|
||||
tf = title_box.text_frame
|
||||
p = tf.paragraphs[0]
|
||||
p.text = data.get('title', '')
|
||||
p.font.size = Pt(32)
|
||||
p.font.bold = True
|
||||
|
||||
# 左侧
|
||||
left_box = slide.shapes.add_textbox(Inches(0.5), Inches(1.3), Inches(5.8), Inches(5.8))
|
||||
tf = left_box.text_frame
|
||||
tf.word_wrap = True
|
||||
|
||||
left_title = data.get('left_title', '')
|
||||
p = tf.paragraphs[0]
|
||||
p.text = left_title
|
||||
p.font.size = Pt(22)
|
||||
p.font.bold = True
|
||||
|
||||
left_bullets = data.get('left_bullets', [])
|
||||
for bullet in left_bullets:
|
||||
p = tf.add_paragraph()
|
||||
p.text = bullet
|
||||
p.level = 1
|
||||
p.font.size = Pt(16)
|
||||
|
||||
# 右侧
|
||||
right_box = slide.shapes.add_textbox(Inches(7.0), Inches(1.3), Inches(5.8), Inches(5.8))
|
||||
tf = right_box.text_frame
|
||||
tf.word_wrap = True
|
||||
|
||||
right_title = data.get('right_title', '')
|
||||
p = tf.paragraphs[0]
|
||||
p.text = right_title
|
||||
p.font.size = Pt(22)
|
||||
p.font.bold = True
|
||||
|
||||
right_bullets = data.get('right_bullets', [])
|
||||
for bullet in right_bullets:
|
||||
p = tf.add_paragraph()
|
||||
p.text = bullet
|
||||
p.level = 1
|
||||
p.font.size = Pt(16)
|
||||
|
||||
def _add_table_slide(self, prs, data):
|
||||
"""添加表格页"""
|
||||
slide_layout = prs.slide_layouts[6] # 空白布局
|
||||
slide = prs.slides.add_slide(slide_layout)
|
||||
|
||||
# 删除默认的占位符形状
|
||||
for shape in list(slide.shapes):
|
||||
if shape.has_text_frame and shape.text_frame.text.strip() in ['单击此处添加标题', '单击此处添加内容', 'Click to add title', 'Click to add text']:
|
||||
slide.shapes.remove(shape)
|
||||
|
||||
# 标题
|
||||
title_box = slide.shapes.add_textbox(Inches(0.5), Inches(0.3), Inches(12), Inches(0.6))
|
||||
tf = title_box.text_frame
|
||||
p = tf.paragraphs[0]
|
||||
p.text = data.get('title', '')
|
||||
p.font.size = Pt(32)
|
||||
p.font.bold = True
|
||||
|
||||
# 表格
|
||||
headers = data.get('headers', [])
|
||||
rows = data.get('rows', [])
|
||||
|
||||
if headers and rows:
|
||||
x, y, cx, cy = Inches(0.5), Inches(1.5), Inches(12), Inches(3)
|
||||
table = slide.shapes.add_table(len(rows) + 1, len(headers), x, y, cx, cy).table
|
||||
|
||||
# 表头
|
||||
for i, header in enumerate(headers):
|
||||
table.cell(0, i).text = header
|
||||
|
||||
# 数据
|
||||
for row_idx, row_data in enumerate(rows):
|
||||
for col_idx, cell_data in enumerate(row_data):
|
||||
table.cell(row_idx + 1, col_idx).text = cell_data
|
||||
|
||||
def _add_chart_slide(self, prs, data):
|
||||
"""添加图表页"""
|
||||
slide_layout = prs.slide_layouts[6] # 空白布局
|
||||
slide = prs.slides.add_slide(slide_layout)
|
||||
|
||||
# 删除默认的占位符形状
|
||||
for shape in list(slide.shapes):
|
||||
if shape.has_text_frame and shape.text_frame.text.strip() in ['单击此处添加标题', '单击此处添加内容', 'Click to add title', 'Click to add text']:
|
||||
slide.shapes.remove(shape)
|
||||
|
||||
# 标题
|
||||
title_box = slide.shapes.add_textbox(Inches(0.5), Inches(0.3), Inches(12.333), Inches(0.6))
|
||||
tf = title_box.text_frame
|
||||
p = tf.paragraphs[0]
|
||||
p.text = data.get('title', '')
|
||||
p.font.size = Pt(32)
|
||||
p.font.bold = True
|
||||
|
||||
# 图表数据
|
||||
chart_type_str = data.get('chart_type', 'bar').lower()
|
||||
categories = data.get('categories', [])
|
||||
series_list = data.get('series', [])
|
||||
|
||||
# 映射图表类型
|
||||
chart_type_map = {
|
||||
'bar': XL_CHART_TYPE.COLUMN_CLUSTERED,
|
||||
'column': XL_CHART_TYPE.COLUMN_CLUSTERED,
|
||||
'line': XL_CHART_TYPE.LINE,
|
||||
'pie': XL_CHART_TYPE.PIE,
|
||||
'饼图': XL_CHART_TYPE.PIE,
|
||||
'柱状图': XL_CHART_TYPE.COLUMN_CLUSTERED,
|
||||
'折线图': XL_CHART_TYPE.LINE,
|
||||
}
|
||||
chart_type = chart_type_map.get(chart_type_str, XL_CHART_TYPE.COLUMN_CLUSTERED)
|
||||
|
||||
# 创建图表数据
|
||||
chart_data = CategoryChartData()
|
||||
chart_data.categories = categories
|
||||
|
||||
for series in series_list:
|
||||
series_name = series.get('name', '数据')
|
||||
values = series.get('values', [])
|
||||
chart_data.add_series(series_name, values)
|
||||
|
||||
# 添加图表
|
||||
x, y, cx, cy = Inches(0.5), Inches(1.2), Inches(12.333), Inches(5.5)
|
||||
chart = slide.shapes.add_chart(chart_type, x, y, cx, cy, chart_data).chart
|
||||
|
||||
# 兼容旧版本
|
||||
def _load_llm_config_old(self):
|
||||
self._load_llm_config()
|
||||
@@ -1,481 +0,0 @@
|
||||
"""
|
||||
Excel 文档 LLM 报告导出器
|
||||
调用大模型生成专业的任务执行报告，并保存为Excel格式
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
from datetime import datetime
|
||||
from typing import Dict, Any
|
||||
|
||||
try:
|
||||
from openpyxl import Workbook
|
||||
from openpyxl.styles import Font, Alignment, PatternFill, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
|
||||
class XlsxLLMExporter:
|
||||
"""Excel 文档 LLM 报告导出器 - 调用大模型生成报告"""
|
||||
|
||||
LLM_CONFIG = {
|
||||
'OPENAI_API_BASE': None,
|
||||
'OPENAI_API_KEY': None,
|
||||
'OPENAI_API_MODEL': None,
|
||||
}
|
||||
|
||||
PROMPT_TEMPLATE = """你是一位专业的项目管理顾问和数据分析专家。你的任务是将以下任务执行数据生成一份详细、专业、结构化的执行报告。
|
||||
|
||||
## 任务基本信息
|
||||
- 任务名称：{task_name}
|
||||
|
||||
## 任务大纲（规划阶段）
|
||||
{task_outline}
|
||||
|
||||
## 执行结果
|
||||
{rehearsal_log}
|
||||
|
||||
## 参与智能体
|
||||
{agents}
|
||||
|
||||
## 智能体评分
|
||||
{agent_scores}
|
||||
|
||||
---
|
||||
|
||||
## 报告要求
|
||||
|
||||
请生成一份完整的任务执行报告，包含以下章节：
|
||||
|
||||
### 1. 执行摘要
|
||||
用 2-3 句话概括本次任务的整体执行情况。
|
||||
|
||||
### 2. 任务概述
|
||||
- 任务背景与目标
|
||||
- 任务范围与边界
|
||||
|
||||
### 3. 任务规划分析
|
||||
- 任务拆解的合理性
|
||||
- 智能体角色分配的优化建议
|
||||
- 工作流程设计
|
||||
|
||||
### 4. 执行过程回顾
|
||||
- 各阶段的完成情况
|
||||
- 关键决策点
|
||||
- 遇到的问题及解决方案
|
||||
|
||||
### 5. 成果产出分析
|
||||
- 产出物的质量评估
|
||||
- 产出与预期目标的匹配度
|
||||
|
||||
### 6. 团队协作分析
|
||||
- 智能体之间的协作模式
|
||||
- 信息传递效率
|
||||
|
||||
### 7. 质量评估
|
||||
- 整体完成质量评分（1-10分）
|
||||
- 各维度的具体评分及理由
|
||||
|
||||
### 8. 经验教训与改进建议
|
||||
- 成功经验
|
||||
- 存在的问题与不足
|
||||
- 改进建议
|
||||
|
||||
---
|
||||
|
||||
## 输出格式要求
|
||||
- 使用 Markdown 格式输出
|
||||
- 语言：简体中文
|
||||
- 适当使用列表、表格增强可读性
|
||||
- 报告长度必须达到 3000-5000 字，每个章节都要详细展开，不要遗漏任何章节
|
||||
- 每个章节的内容要充实，提供具体的分析和建议
|
||||
- 注意：所有加粗标记必须成对出现，如 **文本**，不要单独使用 ** 或缺少结束标记
|
||||
- 禁止使用 mermaid、graph TD、flowchart 等图表代码，如果需要描述流程请用纯文字描述
|
||||
- 不要生成附录章节
|
||||
- 不要在报告中显示"报告总字数"这样的统计信息
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
self._load_llm_config()
|
||||
|
||||
def _load_llm_config(self):
|
||||
"""从配置文件加载 LLM 配置"""
|
||||
try:
|
||||
import yaml
|
||||
possible_paths = [
|
||||
os.path.join(os.path.dirname(os.path.dirname(__file__)), 'config', 'config.yaml'),
|
||||
os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'backend', 'config', 'config.yaml'),
|
||||
os.path.join(os.getcwd(), 'config', 'config.yaml'),
|
||||
]
|
||||
|
||||
for config_path in possible_paths:
|
||||
if os.path.exists(config_path):
|
||||
with open(config_path, 'r', encoding='utf-8') as f:
|
||||
config = yaml.safe_load(f)
|
||||
if config:
|
||||
self.LLM_CONFIG['OPENAI_API_BASE'] = config.get('OPENAI_API_BASE')
|
||||
self.LLM_CONFIG['OPENAI_API_KEY'] = config.get('OPENAI_API_KEY')
|
||||
self.LLM_CONFIG['OPENAI_API_MODEL'] = config.get('OPENAI_API_MODEL')
|
||||
print(f"已加载 LLM 配置: {self.LLM_CONFIG['OPENAI_API_MODEL']}")
|
||||
return
|
||||
except Exception as e:
|
||||
print(f"加载 LLM 配置失败: {e}")
|
||||
|
||||
def generate(self, task_data: Dict[str, Any], file_path: str) -> bool:
|
||||
"""生成 Excel 文档（调用 LLM 生成报告）"""
|
||||
try:
|
||||
task_name = task_data.get('task_name', '未命名任务')
|
||||
task_outline = task_data.get('task_outline')
|
||||
rehearsal_log = task_data.get('rehearsal_log')
|
||||
agent_scores = task_data.get('agent_scores')
|
||||
|
||||
agents = self._extract_agents(task_outline)
|
||||
filtered_agent_scores = self._filter_agent_scores(agent_scores, agents)
|
||||
|
||||
task_outline_str = json.dumps(task_outline, ensure_ascii=False, indent=2) if task_outline else '无'
|
||||
rehearsal_log_str = json.dumps(rehearsal_log, ensure_ascii=False, indent=2) if rehearsal_log else '无'
|
||||
agents_str = ', '.join(agents) if agents else '无'
|
||||
agent_scores_str = json.dumps(filtered_agent_scores, ensure_ascii=False, indent=2) if filtered_agent_scores else '无'
|
||||
|
||||
prompt = self.PROMPT_TEMPLATE.format(
|
||||
task_name=task_name,
|
||||
task_outline=task_outline_str,
|
||||
rehearsal_log=rehearsal_log_str,
|
||||
agents=agents_str,
|
||||
agent_scores=agent_scores_str
|
||||
)
|
||||
|
||||
print("正在调用大模型生成 Excel 报告...")
|
||||
report_content = self._call_llm(prompt)
|
||||
|
||||
if not report_content:
|
||||
print("LLM 生成报告失败")
|
||||
return False
|
||||
|
||||
report_content = self._clean_report_title(report_content)
|
||||
print(f"报告生成成功，长度: {len(report_content)} 字符")
|
||||
|
||||
self._save_as_excel(report_content, file_path, task_name)
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"Excel LLM 导出失败: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
def _clean_report_title(self, content: str) -> str:
|
||||
"""清理报告开头的重复标题"""
|
||||
lines = content.split('\n')
|
||||
if not lines:
|
||||
return content
|
||||
|
||||
first_line = lines[0].strip()
|
||||
if first_line == '任务执行报告' or first_line == '# 任务执行报告':
|
||||
lines = lines[1:]
|
||||
while lines and not lines[0].strip():
|
||||
lines.pop(0)
|
||||
|
||||
return '\n'.join(lines)
|
||||
|
||||
def _extract_agents(self, task_outline: Any) -> list:
|
||||
"""从 task_outline 中提取参与智能体列表"""
|
||||
agents = set()
|
||||
if not task_outline or not isinstance(task_outline, dict):
|
||||
return []
|
||||
|
||||
collaboration_process = task_outline.get('Collaboration Process', [])
|
||||
if not collaboration_process or not isinstance(collaboration_process, list):
|
||||
return []
|
||||
|
||||
for step in collaboration_process:
|
||||
if isinstance(step, dict):
|
||||
agent_selection = step.get('AgentSelection', [])
|
||||
if isinstance(agent_selection, list):
|
||||
for agent in agent_selection:
|
||||
if agent:
|
||||
agents.add(agent)
|
||||
|
||||
return list(agents)
|
||||
|
||||
def _filter_agent_scores(self, agent_scores: Any, agents: list) -> dict:
|
||||
"""过滤 agent_scores，只保留参与当前任务的智能体评分"""
|
||||
if not agent_scores or not isinstance(agent_scores, dict):
|
||||
return {}
|
||||
if not agents:
|
||||
return {}
|
||||
|
||||
filtered = {}
|
||||
for step_id, step_data in agent_scores.items():
|
||||
if not isinstance(step_data, dict):
|
||||
continue
|
||||
|
||||
aspect_list = step_data.get('aspectList', [])
|
||||
agent_scores_data = step_data.get('agentScores', {})
|
||||
|
||||
if not agent_scores_data:
|
||||
continue
|
||||
|
||||
filtered_scores = {}
|
||||
for agent_name, scores in agent_scores_data.items():
|
||||
if agent_name in agents and isinstance(scores, dict):
|
||||
filtered_scores[agent_name] = scores
|
||||
|
||||
if filtered_scores:
|
||||
filtered[step_id] = {
|
||||
'aspectList': aspect_list,
|
||||
'agentScores': filtered_scores
|
||||
}
|
||||
|
||||
return filtered
|
||||
|
||||
def _call_llm(self, prompt: str) -> str:
|
||||
"""调用大模型 API 生成报告"""
|
||||
try:
|
||||
import openai
|
||||
|
||||
if not self.LLM_CONFIG['OPENAI_API_KEY']:
|
||||
print("错误: OPENAI_API_KEY 未配置")
|
||||
return ""
|
||||
if not self.LLM_CONFIG['OPENAI_API_BASE']:
|
||||
print("错误: OPENAI_API_BASE 未配置")
|
||||
return ""
|
||||
if not self.LLM_CONFIG['OPENAI_API_MODEL']:
|
||||
print("错误: OPENAI_API_MODEL 未配置")
|
||||
return ""
|
||||
|
||||
client = openai.OpenAI(
|
||||
api_key=self.LLM_CONFIG['OPENAI_API_KEY'],
|
||||
base_url=self.LLM_CONFIG['OPENAI_API_BASE']
|
||||
)
|
||||
|
||||
response = client.chat.completions.create(
|
||||
model=self.LLM_CONFIG['OPENAI_API_MODEL'],
|
||||
messages=[
|
||||
{"role": "user", "content": prompt}
|
||||
],
|
||||
temperature=0.7,
|
||||
max_tokens=10000,
|
||||
)
|
||||
|
||||
if response and response.choices:
|
||||
return response.choices[0].message.content
|
||||
|
||||
return ""
|
||||
|
||||
except ImportError:
|
||||
print("请安装 openai 库: pip install openai")
|
||||
return ""
|
||||
except Exception as e:
|
||||
print(f"调用 LLM 失败: {e}")
|
||||
return ""
|
||||
|
||||
def _save_as_excel(self, markdown_content: str, file_path: str, task_name: str):
|
||||
"""将 Markdown 内容保存为 Excel 文档"""
|
||||
try:
|
||||
from openpyxl import Workbook
|
||||
from openpyxl.styles import Font, Alignment, PatternFill, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
|
||||
wb = Workbook()
|
||||
ws = wb.active
|
||||
ws.title = "任务执行报告"
|
||||
|
||||
header_fill = PatternFill(start_color="4472C4", end_color="4472C4", fill_type="solid")
|
||||
header_font = Font(bold=True, color="FFFFFF", size=12)
|
||||
title_font = Font(bold=True, size=14)
|
||||
section_font = Font(bold=True, size=11)
|
||||
normal_font = Font(size=10)
|
||||
|
||||
thin_border = Border(
|
||||
left=Side(style='thin'),
|
||||
right=Side(style='thin'),
|
||||
top=Side(style='thin'),
|
||||
bottom=Side(style='thin')
|
||||
)
|
||||
|
||||
ws.column_dimensions['A'].width = 20
|
||||
ws.column_dimensions['B'].width = 80
|
||||
|
||||
row = 1
|
||||
ws[f'A{row}'] = task_name
|
||||
ws[f'A{row}'].font = Font(bold=True, size=16)
|
||||
ws[f'A{row}'].alignment = Alignment(horizontal='center', vertical='center')
|
||||
ws.merge_cells(f'A{row}:B{row}')
|
||||
row += 1
|
||||
|
||||
ws[f'A{row}'] = f"导出时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"
|
||||
ws[f'A{row}'].font = Font(size=9, italic=True)
|
||||
ws[f'A{row}'].alignment = Alignment(horizontal='center', vertical='center')
|
||||
ws.merge_cells(f'A{row}:B{row}')
|
||||
row += 2
|
||||
|
||||
lines = markdown_content.split('\n')
|
||||
current_section = ""
|
||||
table_data = []
|
||||
in_table = False
|
||||
|
||||
for line in lines:
|
||||
line = line.rstrip()
|
||||
|
||||
if not line:
|
||||
if in_table and table_data:
|
||||
row = self._write_table_to_excel(ws, table_data, row, header_fill, header_font, thin_border, normal_font)
|
||||
table_data = []
|
||||
in_table = False
|
||||
continue
|
||||
|
||||
stripped = line.strip()
|
||||
if stripped.startswith('|') and stripped.endswith('|') and '---' in stripped:
|
||||
continue
|
||||
|
||||
if '|' in line and line.strip().startswith('|'):
|
||||
cells = [cell.strip() for cell in line.split('|')[1:-1]]
|
||||
if cells and any(cells):
|
||||
table_data.append(cells)
|
||||
in_table = True
|
||||
continue
|
||||
else:
|
||||
if in_table and table_data:
|
||||
row = self._write_table_to_excel(ws, table_data, row, header_fill, header_font, thin_border, normal_font)
|
||||
table_data = []
|
||||
in_table = False
|
||||
|
||||
if line.startswith('### '):
|
||||
if table_data:
|
||||
row = self._write_table_to_excel(ws, table_data, row, header_fill, header_font, thin_border, normal_font)
|
||||
table_data = []
|
||||
current_section = line[4:].strip()
|
||||
ws[f'A{row}'] = current_section
|
||||
ws[f'A{row}'].font = Font(bold=True, size=12, color="4472C4")
|
||||
ws[f'A{row}'].alignment = Alignment(horizontal='center', vertical='center')
|
||||
ws.merge_cells(f'A{row}:B{row}')
|
||||
row += 1
|
||||
elif line.startswith('## '):
|
||||
if table_data:
|
||||
row = self._write_table_to_excel(ws, table_data, row, header_fill, header_font, thin_border, normal_font)
|
||||
table_data = []
|
||||
section_title = line[2:].strip()
|
||||
ws[f'A{row}'] = section_title
|
||||
ws[f'A{row}'].font = Font(bold=True, size=13)
|
||||
ws[f'A{row}'].alignment = Alignment(horizontal='center', vertical='center')
|
||||
ws.merge_cells(f'A{row}:B{row}')
|
||||
row += 1
|
||||
elif line.startswith('# '):
|
||||
pass
|
||||
elif line.startswith('#### '):
|
||||
if table_data:
|
||||
row = self._write_table_to_excel(ws, table_data, row, header_fill, header_font, thin_border, normal_font)
|
||||
table_data = []
|
||||
current_section = line[5:].strip()
|
||||
ws[f'A{row}'] = current_section
|
||||
ws[f'A{row}'].font = Font(bold=True, size=11, color="4472C4")
|
||||
ws[f'A{row}'].alignment = Alignment(horizontal='center', vertical='center')
|
||||
ws.merge_cells(f'A{row}:B{row}')
|
||||
row += 1
|
||||
elif line.startswith('- ') or line.startswith('* ') or line.startswith('• '):
|
||||
text = line[2:].strip() if line.startswith(('- ', '* ')) else line[1:].strip()
|
||||
text = self._clean_markdown(text)
|
||||
ws[f'A{row}'] = "• " + text
|
||||
ws[f'A{row}'].font = normal_font
|
||||
ws[f'A{row}'].alignment = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
ws.merge_cells(f'A{row}:B{row}')
|
||||
row += 1
|
||||
elif line.startswith('**') and '**:' in line:
|
||||
parts = line.split(':', 1)
|
||||
if len(parts) == 2:
|
||||
key = self._clean_markdown(parts[0])
|
||||
value = self._clean_markdown(parts[1])
|
||||
ws[f'A{row}'] = f"{key}: {value}"
|
||||
ws[f'A{row}'].font = Font(bold=True, size=10)
|
||||
ws[f'A{row}'].alignment = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
ws.merge_cells(f'A{row}:B{row}')
|
||||
row += 1
|
||||
else:
|
||||
clean_line = self._clean_markdown(line)
|
||||
if clean_line:
|
||||
ws[f'A{row}'] = clean_line
|
||||
ws[f'A{row}'].font = normal_font
|
||||
ws[f'A{row}'].alignment = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
ws.merge_cells(f'A{row}:B{row}')
|
||||
row += 1
|
||||
|
||||
if table_data:
|
||||
row = self._write_table_to_excel(ws, table_data, row, header_fill, header_font, thin_border, normal_font)
|
||||
|
||||
ws.column_dimensions['B'].width = 80
|
||||
|
||||
# 设置自适应行高
|
||||
for r in range(1, row + 1):
|
||||
ws.row_dimensions[r].bestFit = True
|
||||
|
||||
for col in ['A', 'B']:
|
||||
for r in range(1, row + 1):
|
||||
cell = ws[f'{col}{r}']
|
||||
if cell.border is None or cell.border == Border():
|
||||
cell.border = Border(
|
||||
left=Side(style='none'),
|
||||
right=Side(style='none'),
|
||||
top=Side(style='none'),
|
||||
bottom=Side(style='none')
|
||||
)
|
||||
|
||||
wb.save(file_path)
|
||||
print(f"Excel 文档已保存: {file_path}")
|
||||
|
||||
except ImportError:
|
||||
print("请安装 openpyxl 库: pip install openpyxl")
|
||||
raise
|
||||
except Exception as e:
|
||||
print(f"保存 Excel 文档失败: {e}")
|
||||
raise
|
||||
|
||||
def _write_table_to_excel(self, ws, table_data, row, header_fill, header_font, border, normal_font):
|
||||
"""将表格数据写入 Excel"""
|
||||
if not table_data:
|
||||
return row
|
||||
|
||||
if len(table_data) == 1:
|
||||
ws[f'A{row}'] = table_data[0][0] if table_data[0] else ""
|
||||
ws[f'A{row}'].font = normal_font
|
||||
ws[f'A{row}'].alignment = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
ws.merge_cells(f'A{row}:B{row}')
|
||||
return row + 1
|
||||
|
||||
max_cols = max(len(row_data) for row_data in table_data)
|
||||
max_cols = min(max_cols, 2)
|
||||
|
||||
for col_idx in range(max_cols):
|
||||
col_letter = get_column_letter(col_idx + 1)
|
||||
ws.column_dimensions[col_letter].width = 25 if max_cols > 1 else 80
|
||||
|
||||
start_row = row
|
||||
for row_idx, row_data in enumerate(table_data):
|
||||
for col_idx in range(min(len(row_data), max_cols)):
|
||||
col_letter = get_column_letter(col_idx + 1)
|
||||
cell = ws[f'{col_letter}{row + row_idx}']
|
||||
cell.value = self._clean_markdown(row_data[col_idx])
|
||||
cell.font = header_font if row_idx == 0 else normal_font
|
||||
cell.fill = header_fill if row_idx == 0 else PatternFill()
|
||||
cell.alignment = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
cell.border = border
|
||||
|
||||
if max_cols > 1:
|
||||
for col_idx in range(len(row_data), max_cols):
|
||||
col_letter = get_column_letter(col_idx + 1)
|
||||
ws[f'{col_letter}{row + row_idx}'].border = border
|
||||
|
||||
return row + len(table_data) + 1
|
||||
|
||||
def _clean_markdown(self, text: str) -> str:
|
||||
"""清理 Markdown 格式标记"""
|
||||
import re
|
||||
text = re.sub(r'\*\*(.+?)\*\*', r'\1', text)
|
||||
text = re.sub(r'\*(.+?)\*', r'\1', text)
|
||||
text = re.sub(r'__(.+?)__', r'\1', text)
|
||||
text = re.sub(r'_(.+?)_', r'\1', text)
|
||||
text = re.sub(r'~~(.+?)~~', r'\1', text)
|
||||
text = re.sub(r'`(.+?)`', r'\1', text)
|
||||
text = text.replace('\\n', '\n').replace('\\t', '\t')
|
||||
return text.strip()
|
||||
@@ -1,17 +1,12 @@
|
||||
import asyncio
|
||||
|
||||
import httpx
|
||||
from openai import OpenAI, AsyncOpenAI, max_retries
|
||||
import openai
|
||||
import yaml
|
||||
from termcolor import colored
|
||||
import os
|
||||
|
||||
# Helper function to avoid circular import
|
||||
def print_colored(text, text_color="green", background="on_white"):
|
||||
print(colored(text, text_color, background))
|
||||
|
||||
# load config (apikey, apibase, model)
|
||||
yaml_file = os.path.join(os.getcwd(), "config", "config.yaml")
|
||||
yaml_data = {}
|
||||
try:
|
||||
with open(yaml_file, "r", encoding="utf-8") as file:
|
||||
yaml_data = yaml.safe_load(file)
|
||||
@@ -20,16 +15,11 @@ except Exception:
|
||||
OPENAI_API_BASE = os.getenv("OPENAI_API_BASE") or yaml_data.get(
|
||||
"OPENAI_API_BASE", "https://api.openai.com"
|
||||
)
|
||||
openai.api_base = OPENAI_API_BASE
|
||||
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") or yaml_data.get(
|
||||
"OPENAI_API_KEY", ""
|
||||
)
|
||||
OPENAI_API_MODEL = os.getenv("OPENAI_API_MODEL") or yaml_data.get(
|
||||
"OPENAI_API_MODEL", ""
|
||||
)
|
||||
|
||||
# Initialize OpenAI clients
|
||||
client = OpenAI(api_key=OPENAI_API_KEY, base_url=OPENAI_API_BASE)
|
||||
async_client = AsyncOpenAI(api_key=OPENAI_API_KEY, base_url=OPENAI_API_BASE)
|
||||
openai.api_key = OPENAI_API_KEY
|
||||
MODEL: str = os.getenv("OPENAI_API_MODEL") or yaml_data.get(
|
||||
"OPENAI_API_MODEL", "gpt-4-turbo-preview"
|
||||
)
|
||||
@@ -46,11 +36,30 @@ MISTRAL_API_KEY = os.getenv("MISTRAL_API_KEY") or yaml_data.get(
|
||||
|
||||
# for LLM completion
|
||||
def LLM_Completion(
|
||||
messages: list[dict], stream: bool = True, useGroq: bool = True,model_config: dict = None
|
||||
messages: list[dict], stream: bool = True, useGroq: bool = True
|
||||
) -> str:
|
||||
if model_config:
|
||||
return _call_with_custom_config(messages,stream,model_config)
|
||||
if not useGroq or not FAST_DESIGN_MODE:
|
||||
# 增强消息验证：确保所有消息的 role 和 content 非空且不是空白字符串
|
||||
if not messages or len(messages) == 0:
|
||||
raise ValueError("Messages list is empty")
|
||||
|
||||
# print(f"[DEBUG] LLM_Completion received {len(messages)} messages", flush=True)
|
||||
|
||||
for i, msg in enumerate(messages):
|
||||
if not isinstance(msg, dict):
|
||||
raise ValueError(f"Message at index {i} is not a dictionary")
|
||||
if not msg.get("role") or str(msg.get("role")).strip() == "":
|
||||
raise ValueError(f"Message at index {i} has empty 'role'")
|
||||
if not msg.get("content") or str(msg.get("content")).strip() == "":
|
||||
raise ValueError(f"Message at index {i} has empty 'content'")
|
||||
|
||||
# 额外验证：确保content不会因为格式化问题变成空
|
||||
content = str(msg.get("content")).strip()
|
||||
if len(content) < 10: # 设置最小长度阈值
|
||||
print(f"[WARNING] Message at index {i} has very short content: '{content}'", flush=True)
|
||||
# 修改1
|
||||
if not GROQ_API_KEY:
|
||||
useGroq = False
|
||||
elif not useGroq or not FAST_DESIGN_MODE:
|
||||
force_gpt4 = True
|
||||
useGroq = False
|
||||
else:
|
||||
@@ -82,106 +91,16 @@ def LLM_Completion(
|
||||
return _chat_completion(messages=messages)
|
||||
|
||||
|
||||
def _call_with_custom_config(messages: list[dict], stream: bool, model_config: dict) ->str:
|
||||
"使用自定义配置调用API"
|
||||
api_url = model_config.get("apiUrl", OPENAI_API_BASE)
|
||||
api_key = model_config.get("apiKey", OPENAI_API_KEY)
|
||||
api_model = model_config.get("apiModel", OPENAI_API_MODEL)
|
||||
|
||||
temp_client = OpenAI(api_key=api_key, base_url=api_url)
|
||||
temp_async_client = AsyncOpenAI(api_key=api_key, base_url=api_url)
|
||||
|
||||
try:
|
||||
if stream:
|
||||
try:
|
||||
loop = asyncio.get_event_loop()
|
||||
except RuntimeError as ex:
|
||||
if "There is no current event loop in thread" in str(ex):
|
||||
loop = asyncio.new_event_loop()
|
||||
asyncio.set_event_loop(loop)
|
||||
return loop.run_until_complete(
|
||||
_achat_completion_stream_custom(messages=messages, temp_async_client=temp_async_client, api_model=api_model)
|
||||
)
|
||||
else:
|
||||
response = temp_client.chat.completions.create(
|
||||
messages=messages,
|
||||
model=api_model,
|
||||
temperature=0.3,
|
||||
max_tokens=4096,
|
||||
timeout=180
|
||||
|
||||
)
|
||||
# 检查响应是否有效
|
||||
if not response.choices or len(response.choices) == 0:
|
||||
raise Exception(f"API returned empty response for model {api_model}")
|
||||
if not response.choices[0] or not response.choices[0].message:
|
||||
raise Exception(f"API returned invalid response format for model {api_model}")
|
||||
|
||||
full_reply_content = response.choices[0].message.content
|
||||
if full_reply_content is None:
|
||||
raise Exception(f"API returned None content for model {api_model}")
|
||||
|
||||
#print(colored(full_reply_content, "blue", "on_white"), end="")
|
||||
return full_reply_content
|
||||
except Exception as e:
|
||||
print_colored(f"[API Error] Custom API error: {str(e)}", "red")
|
||||
raise
|
||||
|
||||
|
||||
async def _achat_completion_stream_custom(messages:list[dict], temp_async_client, api_model: str ) -> str:
|
||||
max_retries=3
|
||||
for attempt in range(max_retries):
|
||||
try:
|
||||
response = await temp_async_client.chat.completions.create(
|
||||
messages=messages,
|
||||
model=api_model,
|
||||
temperature=0.3,
|
||||
max_tokens=4096,
|
||||
stream=True,
|
||||
timeout=180
|
||||
)
|
||||
|
||||
collected_chunks = []
|
||||
collected_messages = []
|
||||
async for chunk in response:
|
||||
collected_chunks.append(chunk)
|
||||
choices = chunk.choices
|
||||
if len(choices) > 0 and choices[0] is not None:
|
||||
chunk_message = choices[0].delta
|
||||
if chunk_message is not None:
|
||||
collected_messages.append(chunk_message)
|
||||
# if chunk_message.content:
|
||||
# print(colored(chunk_message.content, "blue", "on_white"), end="")
|
||||
# print()
|
||||
full_reply_content = "".join(
|
||||
[m.content or "" for m in collected_messages if m is not None]
|
||||
)
|
||||
|
||||
# 检查最终结果是否为空
|
||||
if not full_reply_content or full_reply_content.strip() == "":
|
||||
raise Exception(f"Stream API returned empty content for model {api_model}")
|
||||
|
||||
return full_reply_content
|
||||
except httpx.RemoteProtocolError as e:
|
||||
if attempt < max_retries - 1:
|
||||
wait_time = (attempt + 1) *2
|
||||
print_colored(f"[API Warn] Stream connection interrupted, retrying in {wait_time}s...", "yellow")
|
||||
await asyncio.sleep(wait_time)
|
||||
continue
|
||||
except Exception as e:
|
||||
print_colored(f"[API Error] Custom API stream error: {str(e)}", "red")
|
||||
raise
|
||||
|
||||
|
||||
async def _achat_completion_stream_groq(messages: list[dict]) -> str:
|
||||
from groq import AsyncGroq
|
||||
groq_client = AsyncGroq(api_key=GROQ_API_KEY)
|
||||
client = AsyncGroq(api_key=GROQ_API_KEY)
|
||||
|
||||
max_attempts = 5
|
||||
|
||||
for attempt in range(max_attempts):
|
||||
print("Attempt to use Groq (Fase Design Mode):")
|
||||
try:
|
||||
response = await groq_client.chat.completions.create(
|
||||
stream = await client.chat.completions.create(
|
||||
messages=messages,
|
||||
# model='gemma-7b-it',
|
||||
model="mixtral-8x7b-32768",
|
||||
@@ -195,34 +114,25 @@ async def _achat_completion_stream_groq(messages: list[dict]) -> str:
|
||||
if attempt < max_attempts - 1: # i is zero indexed
|
||||
continue
|
||||
else:
|
||||
raise Exception("failed")
|
||||
raise "failed"
|
||||
|
||||
# 检查响应是否有效
|
||||
if not response.choices or len(response.choices) == 0:
|
||||
raise Exception("Groq API returned empty response")
|
||||
if not response.choices[0] or not response.choices[0].message:
|
||||
raise Exception("Groq API returned invalid response format")
|
||||
|
||||
full_reply_content = response.choices[0].message.content
|
||||
if full_reply_content is None:
|
||||
raise Exception("Groq API returned None content")
|
||||
|
||||
# print(colored(full_reply_content, "blue", "on_white"), end="")
|
||||
# print()
|
||||
full_reply_content = stream.choices[0].message.content
|
||||
print(colored(full_reply_content, "blue", "on_white"), end="")
|
||||
print()
|
||||
return full_reply_content
|
||||
|
||||
|
||||
async def _achat_completion_stream_mixtral(messages: list[dict]) -> str:
|
||||
from mistralai.client import MistralClient
|
||||
from mistralai.models.chat_completion import ChatMessage
|
||||
mistral_client = MistralClient(api_key=MISTRAL_API_KEY)
|
||||
client = MistralClient(api_key=MISTRAL_API_KEY)
|
||||
# client=AsyncGroq(api_key=GROQ_API_KEY)
|
||||
max_attempts = 5
|
||||
|
||||
for attempt in range(max_attempts):
|
||||
try:
|
||||
messages[len(messages) - 1]["role"] = "user"
|
||||
stream = mistral_client.chat(
|
||||
stream = client.chat(
|
||||
messages=[
|
||||
ChatMessage(
|
||||
role=message["role"], content=message["content"]
|
||||
@@ -231,38 +141,41 @@ async def _achat_completion_stream_mixtral(messages: list[dict]) -> str:
|
||||
],
|
||||
# model = "mistral-small-latest",
|
||||
model="open-mixtral-8x7b",
|
||||
# response_format={"type": "json_object"},
|
||||
)
|
||||
break # If the operation is successful, break the loop
|
||||
except Exception:
|
||||
if attempt < max_attempts - 1: # i is zero indexed
|
||||
continue
|
||||
else:
|
||||
raise Exception("failed")
|
||||
|
||||
# 检查响应是否有效
|
||||
if not stream.choices or len(stream.choices) == 0:
|
||||
raise Exception("Mistral API returned empty response")
|
||||
if not stream.choices[0] or not stream.choices[0].message:
|
||||
raise Exception("Mistral API returned invalid response format")
|
||||
raise "failed"
|
||||
|
||||
full_reply_content = stream.choices[0].message.content
|
||||
if full_reply_content is None:
|
||||
raise Exception("Mistral API returned None content")
|
||||
|
||||
# print(colored(full_reply_content, "blue", "on_white"), end="")
|
||||
# print()
|
||||
print(colored(full_reply_content, "blue", "on_white"), end="")
|
||||
print()
|
||||
return full_reply_content
|
||||
|
||||
|
||||
async def _achat_completion_stream_gpt35(messages: list[dict]) -> str:
|
||||
response = await async_client.chat.completions.create(
|
||||
messages=messages,
|
||||
max_tokens=4096,
|
||||
temperature=0.3,
|
||||
timeout=600,
|
||||
model="gpt-3.5-turbo-16k",
|
||||
stream=True,
|
||||
)
|
||||
openai.api_key = OPENAI_API_KEY
|
||||
openai.api_base = OPENAI_API_BASE
|
||||
|
||||
kwargs = {
|
||||
"messages": messages,
|
||||
"max_tokens": 4096,
|
||||
"n": 1,
|
||||
"stop": None,
|
||||
"temperature": 0.3,
|
||||
"timeout": 3,
|
||||
"model": "gpt-3.5-turbo-16k",
|
||||
"stream": True,
|
||||
}
|
||||
# print("[DEBUG] about to call acreate with kwargs:", type(kwargs), kwargs)
|
||||
assert kwargs is not None, "kwargs is None right before acreate!"
|
||||
assert isinstance(kwargs, dict), "kwargs must be dict!"
|
||||
response = await openai.ChatCompletion.acreate(**kwargs)
|
||||
|
||||
|
||||
|
||||
# create variables to collect the stream of chunks
|
||||
collected_chunks = []
|
||||
@@ -270,38 +183,40 @@ async def _achat_completion_stream_gpt35(messages: list[dict]) -> str:
|
||||
# iterate through the stream of events
|
||||
async for chunk in response:
|
||||
collected_chunks.append(chunk) # save the event response
|
||||
choices = chunk.choices
|
||||
if len(choices) > 0 and choices[0] is not None:
|
||||
chunk_message = choices[0].delta
|
||||
if chunk_message is not None:
|
||||
collected_messages.append(chunk_message) # save the message
|
||||
# if chunk_message.content:
|
||||
# print(
|
||||
# colored(chunk_message.content, "blue", "on_white"),
|
||||
# end="",
|
||||
# )
|
||||
# print()
|
||||
choices = chunk["choices"]
|
||||
if len(choices) > 0:
|
||||
chunk_message = chunk["choices"][0].get(
|
||||
"delta", {}
|
||||
) # extract the message
|
||||
collected_messages.append(chunk_message) # save the message
|
||||
if "content" in chunk_message:
|
||||
print(
|
||||
colored(chunk_message["content"], "blue", "on_white"),
|
||||
end="",
|
||||
)
|
||||
print()
|
||||
|
||||
full_reply_content = "".join(
|
||||
[m.content or "" for m in collected_messages if m is not None]
|
||||
[m.get("content", "") for m in collected_messages]
|
||||
)
|
||||
|
||||
# 检查最终结果是否为空
|
||||
if not full_reply_content or full_reply_content.strip() == "":
|
||||
raise Exception("Stream API (gpt-3.5) returned empty content")
|
||||
|
||||
return full_reply_content
|
||||
|
||||
|
||||
def _achat_completion_json(messages: list[dict] ) -> str:
|
||||
async def _achat_completion_json(messages: list[dict]) -> str:
|
||||
openai.api_key = OPENAI_API_KEY
|
||||
openai.api_base = OPENAI_API_BASE
|
||||
|
||||
max_attempts = 5
|
||||
|
||||
for attempt in range(max_attempts):
|
||||
try:
|
||||
response = async_client.chat.completions.create(
|
||||
stream = await openai.ChatCompletion.acreate(
|
||||
messages=messages,
|
||||
max_tokens=4096,
|
||||
n=1,
|
||||
stop=None,
|
||||
temperature=0.3,
|
||||
timeout=600,
|
||||
timeout=3,
|
||||
model=MODEL,
|
||||
response_format={"type": "json_object"},
|
||||
)
|
||||
@@ -310,88 +225,107 @@ def _achat_completion_json(messages: list[dict] ) -> str:
|
||||
if attempt < max_attempts - 1: # i is zero indexed
|
||||
continue
|
||||
else:
|
||||
raise Exception("failed")
|
||||
raise "failed"
|
||||
|
||||
# 检查响应是否有效
|
||||
if not response.choices or len(response.choices) == 0:
|
||||
raise Exception("OpenAI API returned empty response")
|
||||
if not response.choices[0] or not response.choices[0].message:
|
||||
raise Exception("OpenAI API returned invalid response format")
|
||||
|
||||
full_reply_content = response.choices[0].message.content
|
||||
if full_reply_content is None:
|
||||
raise Exception("OpenAI API returned None content")
|
||||
|
||||
# print(colored(full_reply_content, "blue", "on_white"), end="")
|
||||
# print()
|
||||
full_reply_content = stream.choices[0].message.content
|
||||
print(colored(full_reply_content, "blue", "on_white"), end="")
|
||||
print()
|
||||
return full_reply_content
|
||||
|
||||
|
||||
async def _achat_completion_stream(messages: list[dict]) -> str:
|
||||
try:
|
||||
response = await async_client.chat.completions.create(
|
||||
**_cons_kwargs(messages), stream=True
|
||||
)
|
||||
# print(">>>> _achat_completion_stream 被调用", flush=True)
|
||||
# print(">>>> messages 实参 =", messages, flush=True)
|
||||
# print(">>>> messages 类型 =", type(messages), flush=True)
|
||||
openai.api_key = OPENAI_API_KEY
|
||||
openai.api_base = OPENAI_API_BASE
|
||||
response = await openai.ChatCompletion.acreate(
|
||||
**_cons_kwargs(messages), stream=True
|
||||
)
|
||||
|
||||
# create variables to collect the stream of chunks
|
||||
collected_chunks = []
|
||||
collected_messages = []
|
||||
# iterate through the stream of events
|
||||
async for chunk in response:
|
||||
collected_chunks.append(chunk) # save the event response
|
||||
choices = chunk.choices
|
||||
if len(choices) > 0 and choices[0] is not None:
|
||||
chunk_message = choices[0].delta
|
||||
if chunk_message is not None:
|
||||
collected_messages.append(chunk_message) # save the message
|
||||
# if chunk_message.content:
|
||||
# print(
|
||||
# colored(chunk_message.content, "blue", "on_white"),
|
||||
# end="",
|
||||
# )
|
||||
# print()
|
||||
# create variables to collect the stream of chunks
|
||||
collected_chunks = []
|
||||
collected_messages = []
|
||||
# iterate through the stream of events
|
||||
async for chunk in response:
|
||||
collected_chunks.append(chunk) # save the event response
|
||||
choices = chunk["choices"]
|
||||
if len(choices) > 0:
|
||||
chunk_message = chunk["choices"][0].get(
|
||||
"delta", {}
|
||||
) # extract the message
|
||||
collected_messages.append(chunk_message) # save the message
|
||||
if "content" in chunk_message:
|
||||
print(
|
||||
colored(chunk_message["content"], "blue", "on_white"),
|
||||
end="",
|
||||
)
|
||||
print()
|
||||
|
||||
full_reply_content = "".join(
|
||||
[m.content or "" for m in collected_messages if m is not None]
|
||||
)
|
||||
|
||||
# 检查最终结果是否为空
|
||||
if not full_reply_content or full_reply_content.strip() == "":
|
||||
raise Exception("Stream API returned empty content")
|
||||
|
||||
return full_reply_content
|
||||
except Exception as e:
|
||||
print_colored(f"[API Error] OpenAI API stream error: {str(e)}", "red")
|
||||
raise
|
||||
full_reply_content = "".join(
|
||||
[m.get("content", "") for m in collected_messages]
|
||||
)
|
||||
return full_reply_content
|
||||
|
||||
|
||||
def _chat_completion(messages: list[dict]) -> str:
|
||||
try:
|
||||
rsp = client.chat.completions.create(**_cons_kwargs(messages))
|
||||
|
||||
# 检查响应是否有效
|
||||
if not rsp.choices or len(rsp.choices) == 0:
|
||||
raise Exception("OpenAI API returned empty response")
|
||||
if not rsp.choices[0] or not rsp.choices[0].message:
|
||||
raise Exception("OpenAI API returned invalid response format")
|
||||
|
||||
content = rsp.choices[0].message.content
|
||||
if content is None:
|
||||
raise Exception("OpenAI API returned None content")
|
||||
|
||||
return content
|
||||
except Exception as e:
|
||||
print_colored(f"[API Error] OpenAI API error: {str(e)}", "red")
|
||||
raise
|
||||
rsp = openai.ChatCompletion.create(**_cons_kwargs(messages))
|
||||
content = rsp["choices"][0]["message"]["content"]
|
||||
return content
|
||||
|
||||
|
||||
def _cons_kwargs(messages: list[dict]) -> dict:
|
||||
kwargs = {
|
||||
"messages": messages,
|
||||
"max_tokens": 2000,
|
||||
"temperature": 0.3,
|
||||
"timeout": 600,
|
||||
"max_tokens": 4096,
|
||||
"temperature": 0.5,
|
||||
}
|
||||
kwargs_mode = {"model": MODEL}
|
||||
kwargs.update(kwargs_mode)
|
||||
return kwargs
|
||||
print("[DEBUG] kwargs =", kwargs)
|
||||
assert isinstance(kwargs, dict), f"_cons_kwargs returned {type(kwargs)}, must be dict"
|
||||
|
||||
# 添加调试信息
|
||||
print(f'[DEBUG] _cons_kwargs messages: {messages}', flush=True)
|
||||
|
||||
# 检查并修复消息中的null值
|
||||
for i, msg in enumerate(messages):
|
||||
# 确保msg是字典
|
||||
if not isinstance(msg, dict):
|
||||
print(f"[ERROR] Message {i} is not a dictionary: {msg}", flush=True)
|
||||
messages[i] = {"role": "user", "content": str(msg) if msg is not None else ""}
|
||||
continue
|
||||
|
||||
# 确保role和content存在且不为None
|
||||
if "role" not in msg or msg["role"] is None:
|
||||
print(f"[ERROR] Message {i} missing role, setting to 'user'", flush=True)
|
||||
msg["role"] = "user"
|
||||
else:
|
||||
msg["role"] = str(msg["role"]).strip()
|
||||
|
||||
if "content" not in msg or msg["content"] is None:
|
||||
print(f"[ERROR] Message {i} missing content, setting to empty string", flush=True)
|
||||
msg["content"] = ""
|
||||
else:
|
||||
msg["content"] = str(msg["content"]).strip()
|
||||
|
||||
# 根据不同的API提供商调整参数
|
||||
if "deepseek" in MODEL.lower():
|
||||
# DeepSeek API特殊处理
|
||||
print("[DEBUG] DeepSeek API detected, adjusting parameters", flush=True)
|
||||
kwargs.pop("n", None) # 移除n参数，DeepSeek可能不支持
|
||||
if "timeout" in kwargs:
|
||||
kwargs.pop("timeout", None)
|
||||
# DeepSeek可能不支持stop参数
|
||||
kwargs.pop("stop", None)
|
||||
else:
|
||||
# OpenAI兼容的API
|
||||
kwargs["n"] = 1
|
||||
kwargs["stop"] = None
|
||||
kwargs["timeout"] = 3
|
||||
|
||||
kwargs["model"] = MODEL
|
||||
|
||||
# 确保messages列表中的每个元素都有有效的role和content
|
||||
kwargs["messages"] = [msg for msg in messages if msg["role"] and msg["content"]]
|
||||
print(f"[DEBUG] Final kwargs for API call: {kwargs.keys()}", flush=True)
|
||||
|
||||
return kwargs
|
||||
@@ -7,8 +7,6 @@ PROMPT_ABILITY_REQUIREMENT_GENERATION = """
|
||||
## Instruction
|
||||
Based on "General Goal" and "Current Task", output a formatted "Ability Requirement" which lists at least 3 different ability requirement that is required by the "Current Task". The ability should be summarized concisely within a few words.
|
||||
|
||||
**IMPORTANT LANGUAGE REQUIREMENT: You must respond in Chinese (中文) for all ability requirements.**
|
||||
|
||||
## General Goal (The general goal for the collaboration plan, "Current Task" is just one of its substep)
|
||||
{General_Goal}
|
||||
|
||||
@@ -43,16 +41,14 @@ def generate_AbilityRequirement(General_Goal, Current_Task):
|
||||
),
|
||||
},
|
||||
]
|
||||
#print(messages[1]["content"])
|
||||
return read_LLM_Completion(messages)["AbilityRequirement"]
|
||||
print(messages[1]["content"])
|
||||
return read_LLM_Completion(messages)["AbilityRequirement"]
|
||||
|
||||
|
||||
PROMPT_AGENT_ABILITY_SCORING = """
|
||||
## Instruction
|
||||
Based on "Agent Board" and "Ability Requirement", output a score for each agent to estimate the possibility that the agent can fulfil the "Ability Requirement". The score should be 1-5. Provide a concise reason before you assign the score.
|
||||
|
||||
**IMPORTANT LANGUAGE REQUIREMENT: You must respond in Chinese (中文) for all reasons and explanations.**
|
||||
|
||||
## AgentBoard
|
||||
{Agent_Board}
|
||||
|
||||
@@ -87,7 +83,6 @@ class JSON_Agent(BaseModel):
|
||||
class JSON_AGENT_ABILITY_SCORING(RootModel):
|
||||
root: Dict[str, JSON_Agent]
|
||||
|
||||
|
||||
def agentAbilityScoring(Agent_Board, Ability_Requirement_List):
|
||||
scoreTable = {}
|
||||
for Ability_Requirement in Ability_Requirement_List:
|
||||
@@ -104,12 +99,12 @@ def agentAbilityScoring(Agent_Board, Ability_Requirement_List):
|
||||
),
|
||||
},
|
||||
]
|
||||
#print(messages[1]["content"])
|
||||
print(messages[1]["content"])
|
||||
scoreTable[Ability_Requirement] = read_LLM_Completion(messages)
|
||||
return scoreTable
|
||||
|
||||
|
||||
def AgentSelectModify_init(stepTask, General_Goal, Agent_Board):
|
||||
async def AgentSelectModify_init(stepTask, General_Goal, Agent_Board):
|
||||
Current_Task = {
|
||||
"TaskName": stepTask["StepName"],
|
||||
"InputObject_List": stepTask["InputObject_List"],
|
||||
@@ -129,14 +124,13 @@ def AgentSelectModify_init(stepTask, General_Goal, Agent_Board):
|
||||
),
|
||||
},
|
||||
]
|
||||
Ability_Requirement_List = read_LLM_Completion(messages)[
|
||||
Ability_Requirement_List = await read_LLM_Completion(messages)[
|
||||
"AbilityRequirement"
|
||||
]
|
||||
scoreTable = agentAbilityScoring(Agent_Board, Ability_Requirement_List)
|
||||
scoreTable = await agentAbilityScoring(Agent_Board, Ability_Requirement_List)
|
||||
return scoreTable
|
||||
|
||||
|
||||
def AgentSelectModify_addAspect(aspectList, Agent_Board):
|
||||
newAspect = aspectList[-1]
|
||||
scoreTable = agentAbilityScoring(Agent_Board, [newAspect])
|
||||
scoreTable = agentAbilityScoring(Agent_Board, aspectList)
|
||||
return scoreTable
|
||||
|
||||
@@ -35,8 +35,6 @@ PROMPT_AGENT_SELECTION_GENERATION = """
|
||||
## Instruction
|
||||
Based on "General Goal", "Current Task" and "Agent Board", output a formatted "Agent Selection Plan". Your selection should consider the ability needed for "Current Task" and the profile of each agent in "Agent Board".
|
||||
|
||||
**IMPORTANT LANGUAGE REQUIREMENT: You must respond in Chinese (中文) for all explanations and reasoning, though agent names should remain in their original form.**
|
||||
|
||||
## General Goal (Specify the general goal for the collaboration plan)
|
||||
{General_Goal}
|
||||
|
||||
@@ -77,14 +75,10 @@ def generate_AbilityRequirement(General_Goal, Current_Task):
|
||||
),
|
||||
},
|
||||
]
|
||||
return read_LLM_Completion(messages)["AbilityRequirement"]
|
||||
|
||||
print(messages[1]["content"])
|
||||
return read_LLM_Completion(messages)["AbilityRequirement"]
|
||||
|
||||
def generate_AgentSelection(General_Goal, Current_Task, Agent_Board):
|
||||
# Check if Agent_Board is None or empty
|
||||
if Agent_Board is None or len(Agent_Board) == 0:
|
||||
raise ValueError("Agent_Board cannot be None or empty. Please ensure agents are set via /setAgents endpoint before generating a plan.")
|
||||
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
@@ -99,13 +93,12 @@ def generate_AgentSelection(General_Goal, Current_Task, Agent_Board):
|
||||
),
|
||||
},
|
||||
]
|
||||
#print(messages[1]["content"])
|
||||
print(messages[1]["content"])
|
||||
|
||||
agentboard_set = {agent["Name"] for agent in Agent_Board}
|
||||
|
||||
while True:
|
||||
candidate = read_LLM_Completion(messages)["AgentSelectionPlan"]
|
||||
# 添加调试打印
|
||||
candidate = read_LLM_Completion(messages)["AgentSelectionPlan"]
|
||||
if len(candidate) > MAX_TEAM_SIZE:
|
||||
teamSize = random.randint(2, MAX_TEAM_SIZE)
|
||||
candidate = candidate[0:teamSize]
|
||||
@@ -113,6 +106,7 @@ def generate_AgentSelection(General_Goal, Current_Task, Agent_Board):
|
||||
continue
|
||||
AgentSelectionPlan = sorted(candidate)
|
||||
AgentSelectionPlan_set = set(AgentSelectionPlan)
|
||||
|
||||
# Check if every item in AgentSelectionPlan is in agentboard
|
||||
if AgentSelectionPlan_set.issubset(agentboard_set):
|
||||
break # If all items are in agentboard, break the loop
|
||||
|
||||
@@ -1,53 +1,63 @@
|
||||
from AgentCoord.PlanEngine.planOutline_Generator import generate_PlanOutline
|
||||
# from AgentCoord.PlanEngine.AgentSelection_Generator import (
|
||||
# generate_AgentSelection,
|
||||
# )
|
||||
from AgentCoord.PlanEngine.AgentSelection_Generator import (
|
||||
generate_AgentSelection,
|
||||
)
|
||||
from AgentCoord.PlanEngine.taskProcess_Generator import generate_TaskProcess
|
||||
import AgentCoord.util as util
|
||||
|
||||
|
||||
def generate_basePlan(
|
||||
General_Goal, Agent_Board, AgentProfile_Dict, InitialObject_List
|
||||
):
|
||||
"""
|
||||
优化模式：生成大纲 + 智能体选择，但不生成任务流程
|
||||
优化用户体验：
|
||||
1. 快速生成大纲和分配智能体
|
||||
2. 用户可以看到完整的大纲和智能体图标
|
||||
3. TaskProcess由前端通过 fillStepTask API 异步填充
|
||||
|
||||
"""
|
||||
# 参数保留以保持接口兼容性
|
||||
_ = AgentProfile_Dict
|
||||
PlanOutline = generate_PlanOutline(
|
||||
InitialObject_List=InitialObject_List, General_Goal=General_Goal
|
||||
)
|
||||
Agent_Board = [
|
||||
{"Name": (a.get("Name") or "").strip(),"Profile": (a.get("Profile") or "").strip()}
|
||||
for a in Agent_Board
|
||||
if a and a.get("Name") is not None
|
||||
]
|
||||
if not Agent_Board: # 洗完后还是空 → 直接返回空计划
|
||||
return {"Plan_Outline": []}
|
||||
|
||||
basePlan = {
|
||||
"General Goal": General_Goal,
|
||||
"Initial Input Object": InitialObject_List,
|
||||
"Collaboration Process": []
|
||||
"Collaboration Process": [],
|
||||
}
|
||||
|
||||
PlanOutline = generate_PlanOutline(
|
||||
InitialObject_List=[], General_Goal=General_Goal
|
||||
)
|
||||
for stepItem in PlanOutline:
|
||||
# # 为每个步骤分配智能体
|
||||
# Current_Task = {
|
||||
# "TaskName": stepItem["StepName"],
|
||||
# "InputObject_List": stepItem["InputObject_List"],
|
||||
# "OutputObject": stepItem["OutputObject"],
|
||||
# "TaskContent": stepItem["TaskContent"],
|
||||
# }
|
||||
# AgentSelection = generate_AgentSelection(
|
||||
# General_Goal=General_Goal,
|
||||
# Current_Task=Current_Task,
|
||||
# Agent_Board=Agent_Board,
|
||||
# )
|
||||
|
||||
# 添加智能体选择，但不添加任务流程
|
||||
stepItem["AgentSelection"] = []
|
||||
stepItem["TaskProcess"] = [] # 空数组，由前端异步填充
|
||||
stepItem["Collaboration_Brief_frontEnd"] = {
|
||||
"template": "",
|
||||
"data": {}
|
||||
Current_Task = {
|
||||
"TaskName": stepItem["StepName"],
|
||||
"InputObject_List": stepItem["InputObject_List"],
|
||||
"OutputObject": stepItem["OutputObject"],
|
||||
"TaskContent": stepItem["TaskContent"],
|
||||
}
|
||||
AgentSelection = generate_AgentSelection(
|
||||
General_Goal=General_Goal,
|
||||
Current_Task=Current_Task,
|
||||
Agent_Board=Agent_Board,
|
||||
)
|
||||
Current_Task_Description = {
|
||||
"TaskName": stepItem["StepName"],
|
||||
"AgentInvolved": [
|
||||
{"Name": name, "Profile": AgentProfile_Dict[name]}
|
||||
for name in AgentSelection
|
||||
],
|
||||
"InputObject_List": stepItem["InputObject_List"],
|
||||
"OutputObject": stepItem["OutputObject"],
|
||||
"CurrentTaskDescription": util.generate_template_sentence_for_CollaborationBrief(
|
||||
stepItem["InputObject_List"],
|
||||
stepItem["OutputObject"],
|
||||
AgentSelection,
|
||||
stepItem["TaskContent"],
|
||||
),
|
||||
}
|
||||
TaskProcess = generate_TaskProcess(
|
||||
General_Goal=General_Goal,
|
||||
Current_Task_Description=Current_Task_Description,
|
||||
)
|
||||
# add the generated AgentSelection and TaskProcess to the stepItem
|
||||
stepItem["AgentSelection"] = AgentSelection
|
||||
stepItem["TaskProcess"] = TaskProcess
|
||||
basePlan["Collaboration Process"].append(stepItem)
|
||||
|
||||
return basePlan
|
||||
basePlan["General Goal"] = General_Goal
|
||||
return basePlan
|
||||
|
||||
@@ -9,8 +9,6 @@ PROMPT_PLAN_OUTLINE_BRANCHING = """
|
||||
Based on "Existing Steps", your task is to comeplete the "Remaining Steps" for the plan for "General Goal".
|
||||
Note: "Modification Requirement" specifies how to modify the "Baseline Completion" for a better/alternative solution.
|
||||
|
||||
**IMPORTANT LANGUAGE REQUIREMENT: You must respond in Chinese (中文) for all content, including StepName, TaskContent, and OutputObject fields.**
|
||||
|
||||
## General Goal (Specify the general goal for the plan)
|
||||
{General_Goal}
|
||||
|
||||
@@ -87,7 +85,7 @@ def branch_PlanOutline(
|
||||
InitialObject_List=str(InitialObject_List),
|
||||
General_Goal=General_Goal,
|
||||
)
|
||||
#print(prompt)
|
||||
print(prompt)
|
||||
branch_List = []
|
||||
for _ in range(branch_Number):
|
||||
messages = [
|
||||
@@ -97,7 +95,7 @@ def branch_PlanOutline(
|
||||
},
|
||||
{"role": "system", "content": prompt},
|
||||
]
|
||||
Remaining_Steps = read_LLM_Completion(messages, useGroq=False)[
|
||||
Remaining_Steps = read_LLM_Completion(messages)[
|
||||
"Remaining Steps"
|
||||
]
|
||||
branch_List.append(Remaining_Steps)
|
||||
|
||||
@@ -29,8 +29,6 @@ PROMPT_TASK_PROCESS_BRANCHING = """
|
||||
Based on "Existing Steps", your task is to comeplete the "Remaining Steps" for the "Task for Current Step".
|
||||
Note: "Modification Requirement" specifies how to modify the "Baseline Completion" for a better/alternative solution.
|
||||
|
||||
**IMPORTANT LANGUAGE REQUIREMENT: You must respond in Chinese (中文) for the Description field and all explanations, while keeping ID, ActionType, and AgentName in their original format.**
|
||||
|
||||
## General Goal (The general goal for the collaboration plan, you just design the plan for one of its step (i.e. "Task for Current Step"))
|
||||
{General_Goal}
|
||||
|
||||
@@ -57,39 +55,26 @@ Note: "Modification Requirement" specifies how to modify the "Baseline Completio
|
||||
"ID": "Action4",
|
||||
"ActionType": "Propose",
|
||||
"AgentName": "Mia",
|
||||
"Description": "提议关于人工智能情感发展的心理学理论，重点关注爱与依恋的概念。",
|
||||
"Description": "Propose psychological theories on love and attachment that could be applied to AI's emotional development.",
|
||||
"ImportantInput": [
|
||||
"InputObject:Story Outline"
|
||||
]
|
||||
}},
|
||||
{{
|
||||
"ID": "Action5",
|
||||
"ActionType": "Critique",
|
||||
"ActionType": "Propose",
|
||||
"AgentName": "Noah",
|
||||
"Description": "对Mia提出的心理学理论进行批判性评估，分析其在AI情感发展场景中的适用性和局限性。",
|
||||
"ImportantInput": [
|
||||
"ActionResult:Action4"
|
||||
]
|
||||
"Description": "Propose ethical considerations and philosophical questions regarding AI's capacity for love.",
|
||||
"ImportantInput": []
|
||||
}},
|
||||
{{
|
||||
"ID": "Action6",
|
||||
"ActionType": "Improve",
|
||||
"AgentName": "Liam",
|
||||
"Description": "基于Noah的批判性反馈，改进和完善心理学理论框架，使其更贴合AI情感发展的实际需求。",
|
||||
"ImportantInput": [
|
||||
"ActionResult:Action4",
|
||||
"ActionResult:Action5"
|
||||
]
|
||||
}},
|
||||
{{
|
||||
"ID": "Action7",
|
||||
"ActionType": "Finalize",
|
||||
"AgentName": "Mia",
|
||||
"Description": "综合所有提议、批判和改进意见，整合并提交最终的AI情感发展心理学理论框架。",
|
||||
"AgentName": "Liam",
|
||||
"Description": "Combine the poetic elements and ethical considerations into a cohesive set of core love elements for the story.",
|
||||
"ImportantInput": [
|
||||
"ActionResult:Action4",
|
||||
"ActionResult:Action5",
|
||||
"ActionResult:Action6"
|
||||
"ActionResult:Action1",
|
||||
"ActionResult:Action5"
|
||||
]
|
||||
}}
|
||||
]
|
||||
@@ -99,12 +84,7 @@ Note: "Modification Requirement" specifies how to modify the "Baseline Completio
|
||||
ImportantInput: Specify if there is any previous result that should be taken special consideration during the execution the action. Should be of format "InputObject:xx" or "ActionResult:xx".
|
||||
InputObject_List: List existing objects that should be utilized in current step.
|
||||
AgentName: Specify the agent who will perform the action, You CAN ONLY USE THE NAME APPEARS IN "AgentInvolved".
|
||||
ActionType: Specify the type of action. **CRITICAL REQUIREMENTS:**
|
||||
1. The "Remaining Steps" MUST include ALL FOUR action types in the following order: Propose -> Critique -> Improve -> Finalize
|
||||
2. Each action type (Propose, Critique, Improve, Finalize) MUST appear at least once
|
||||
3. The actions must follow the sequence: Propose actions first, then Critique actions, then Improve actions, and Finalize must be the last action
|
||||
4. Even if only one agent is involved in a phase, that phase must still have its corresponding action type
|
||||
5. The last action must ALWAYS be of type "Finalize"
|
||||
ActionType: Specify the type of action, note that only the last action can be of type "Finalize", and the last action must be "Finalize".
|
||||
|
||||
"""
|
||||
|
||||
@@ -155,7 +135,7 @@ def branch_TaskProcess(
|
||||
General_Goal=General_Goal,
|
||||
Act_Set=ACT_SET,
|
||||
)
|
||||
#print(prompt)
|
||||
print(prompt)
|
||||
branch_List = []
|
||||
for i in range(branch_Number):
|
||||
messages = [
|
||||
@@ -165,7 +145,7 @@ def branch_TaskProcess(
|
||||
},
|
||||
{"role": "system", "content": prompt},
|
||||
]
|
||||
Remaining_Steps = read_LLM_Completion(messages, useGroq=False)[
|
||||
Remaining_Steps = read_LLM_Completion(messages)[
|
||||
"Remaining Steps"
|
||||
]
|
||||
|
||||
|
||||
@@ -2,13 +2,11 @@ from AgentCoord.util.converter import read_LLM_Completion
|
||||
from typing import List
|
||||
from pydantic import BaseModel
|
||||
import json
|
||||
|
||||
import asyncio
|
||||
PROMPT_PLAN_OUTLINE_GENERATION = """
|
||||
## Instruction
|
||||
Based on "Output Format Example", "General Goal", and "Initial Key Object List", output a formatted "Plan_Outline".
|
||||
|
||||
**IMPORTANT LANGUAGE REQUIREMENT: You must respond in Chinese (中文) for all content, including StepName, TaskContent, and OutputObject fields.**
|
||||
|
||||
## Initial Key Object List (Specify the list of initial key objects available, each initial key object should be the input object of at least one Step)
|
||||
{InitialObject_List}
|
||||
|
||||
@@ -71,6 +69,13 @@ class PlanOutline(BaseModel):
|
||||
|
||||
|
||||
def generate_PlanOutline(InitialObject_List, General_Goal):
|
||||
# 新增：校验 General_Goal 必须有有效内容
|
||||
if not isinstance(General_Goal, str) or len(General_Goal.strip()) == 0:
|
||||
raise ValueError("General_Goal 不能为空！必须提供具体的目标描述")
|
||||
|
||||
# 处理 InitialObject_List 为空的情况（可选，但更友好）
|
||||
if not InitialObject_List:
|
||||
InitialObject_List = ["无初始对象"] # 避免空列表导致的歧义
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
@@ -85,16 +90,11 @@ def generate_PlanOutline(InitialObject_List, General_Goal):
|
||||
),
|
||||
},
|
||||
]
|
||||
result = read_LLM_Completion(messages)
|
||||
if isinstance(result, dict) and "Plan_Outline" in result:
|
||||
return result["Plan_Outline"]
|
||||
else:
|
||||
# 如果格式不正确，返回默认的计划大纲
|
||||
return [
|
||||
{
|
||||
"StepName": "Default Step",
|
||||
"TaskContent": "Generated default plan step due to format error",
|
||||
"InputObject_List": [],
|
||||
"OutputObject": "Default Output"
|
||||
}
|
||||
]
|
||||
|
||||
# 二次校验 messages 内容（防止意外空值）
|
||||
for msg in messages:
|
||||
content = msg.get("content", "").strip()
|
||||
if not content:
|
||||
raise ValueError("生成的 LLM 请求消息内容为空，请检查参数")
|
||||
|
||||
return read_LLM_Completion(messages)["Plan_Outline"]
|
||||
|
||||
@@ -25,8 +25,6 @@ PROMPT_TASK_PROCESS_GENERATION = """
|
||||
## Instruction
|
||||
Based on "General Goal", "Task for Current Step", "Action Set" and "Output Format Example", design a plan for "Task for Current Step", output a formatted "Task_Process_Plan".
|
||||
|
||||
**IMPORTANT LANGUAGE REQUIREMENT: You must respond in Chinese (中文) for the Description field and all explanations, while keeping ID, ActionType, and AgentName in their original format.**
|
||||
|
||||
## General Goal (The general goal for the collaboration plan, you just design the plan for one of its step (i.e. "Task for Current Step"))
|
||||
{General_Goal}
|
||||
|
||||
@@ -108,6 +106,9 @@ class TaskProcessPlan(BaseModel):
|
||||
|
||||
|
||||
def generate_TaskProcess(General_Goal, Current_Task_Description):
|
||||
# 新增参数验证
|
||||
if not General_Goal or str(General_Goal).strip() == "":
|
||||
raise ValueError("General_Goal cannot be empty")
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
@@ -124,7 +125,7 @@ def generate_TaskProcess(General_Goal, Current_Task_Description):
|
||||
),
|
||||
},
|
||||
]
|
||||
#print(messages[1]["content"])
|
||||
print(messages[1]["content"])
|
||||
|
||||
# write a callback function, if read_LLM_Completion(messages)["Task_Process_Plan"] dont have the right format, call this function again
|
||||
while True:
|
||||
|
||||
@@ -5,12 +5,10 @@ PROMPT_TEMPLATE_TAKE_ACTION_BASE = '''
|
||||
Your name is {agentName}. You will play the role as the Profile indicates.
|
||||
Profile: {agentProfile}
|
||||
|
||||
You are within a multi-agent collaboration for the "Current Task".
|
||||
Now it's your turn to take action. Read the "Context Information" and take your action following "Instruction for Your Current Action".
|
||||
You are within a multi-agent collaboration for the "Current Task".
|
||||
Now it's your turn to take action. Read the "Context Information" and take your action following "Instruction for Your Current Action".
|
||||
Note: Important Input for your action are marked with *Important Input*
|
||||
|
||||
**IMPORTANT LANGUAGE REQUIREMENT: You must respond in Chinese (中文) for all your answers and outputs.**
|
||||
|
||||
## Context Information
|
||||
|
||||
### General Goal (The "Current Task" is indeed a substep of the general goal)
|
||||
@@ -25,8 +23,8 @@ Note: Important Input for your action are marked with *Important Input*
|
||||
### History Action
|
||||
{History_Action}
|
||||
|
||||
## Instruction for Your Current Action
|
||||
{Action_Description}
|
||||
## Instruction for Your Current Action
|
||||
{Action_Description}
|
||||
|
||||
{Action_Custom_Note}
|
||||
|
||||
@@ -82,33 +80,10 @@ class BaseAction():
|
||||
Important_Mark = ""
|
||||
action_Record += PROMPT_TEMPLATE_ACTION_RECORD.format(AgentName = actionInfo["AgentName"], Action_Description = actionInfo["AgentName"], Action_Result = actionInfo["Action_Result"], Important_Mark = Important_Mark)
|
||||
|
||||
# Handle missing agent profiles gracefully
|
||||
model_config = None
|
||||
if agentName not in AgentProfile_Dict:
|
||||
agentProfile = f"AI Agent named {agentName}"
|
||||
else:
|
||||
# agentProfile = AgentProfile_Dict[agentName]
|
||||
agent_config = AgentProfile_Dict[agentName]
|
||||
agentProfile = agent_config.get("profile",f"AI Agent named {agentName}")
|
||||
if agent_config.get("useCustomAPI",False):
|
||||
model_config = {
|
||||
"apiModel":agent_config.get("apiModel"),
|
||||
"apiUrl":agent_config.get("apiUrl"),
|
||||
"apiKey":agent_config.get("apiKey"),
|
||||
}
|
||||
prompt = PROMPT_TEMPLATE_TAKE_ACTION_BASE.format(
|
||||
agentName = agentName,
|
||||
agentProfile = agentProfile,
|
||||
General_Goal = General_Goal,
|
||||
Current_Task_Description = TaskDescription,
|
||||
Input_Objects = inputObject_Record,
|
||||
History_Action = action_Record,
|
||||
Action_Description = self.info["Description"],
|
||||
Action_Custom_Note = self.Action_Custom_Note
|
||||
)
|
||||
#print_colored(text = prompt, text_color="red")
|
||||
prompt = PROMPT_TEMPLATE_TAKE_ACTION_BASE.format(agentName = agentName, agentProfile = AgentProfile_Dict[agentName], General_Goal = General_Goal, Current_Task_Description = TaskDescription, Input_Objects = inputObject_Record, History_Action = action_Record, Action_Description = self.info["Description"], Action_Custom_Note = self.Action_Custom_Note)
|
||||
print_colored(text = prompt, text_color="red")
|
||||
messages = [{"role":"system", "content": prompt}]
|
||||
ActionResult = LLM_Completion(messages,True,False,model_config=model_config)
|
||||
ActionResult = LLM_Completion(messages,stream=False)
|
||||
ActionInfo_with_Result = copy.deepcopy(self.info)
|
||||
ActionInfo_with_Result["Action_Result"] = ActionResult
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from AgentCoord.RehearsalEngine_V2.Action import BaseAction
|
||||
|
||||
ACTION_CUSTOM_NOTE = '''
|
||||
注意：由于你在对话中，你的批评必须简洁、清晰且易于阅读，不要让人感到压力过大。如果你要列出一些观点，最多列出2点。
|
||||
Note: Since you are in a conversation, your critique must be concise, clear and easy to read, don't overwhelm others. If you want to list some points, list at most 2 points.
|
||||
|
||||
'''
|
||||
|
||||
|
||||
@@ -2,9 +2,9 @@ from AgentCoord.util.converter import read_outputObject_content
|
||||
from AgentCoord.RehearsalEngine_V2.Action import BaseAction
|
||||
|
||||
ACTION_CUSTOM_NOTE = '''
|
||||
注意：你可以在给出{OutputName}的最终内容之前先说一些话。当你决定给出{OutputName}的最终内容时，应该这样包含：
|
||||
Note: You can say something before you give the final content of {OutputName}. When you decide to give the final content of {OutputName}, it should be enclosed like this:
|
||||
```{OutputName}
|
||||
（{OutputName}的内容）
|
||||
(the content of {OutputName})
|
||||
```
|
||||
'''
|
||||
|
||||
|
||||
@@ -1,12 +1,12 @@
|
||||
from AgentCoord.RehearsalEngine_V2.Action import BaseAction
|
||||
|
||||
ACTION_CUSTOM_NOTE = '''
|
||||
注意：你可以在提供改进版本的内容之前先说一些话。
|
||||
你提供的改进版本必须是完整的版本（例如，如果你提供改进的故事，你应该给出完整的故事内容，而不仅仅是报告你在哪里改进了）。
|
||||
当你决定提供内容的改进版本时，应该这样开始：
|
||||
Note: You can say something before you provide the improved version of the content.
|
||||
The improved version you provide must be a completed version (e.g. if you provide a improved story, you should give completed story content, rather than just reporting where you have improved).
|
||||
When you decide to give the improved version of the content, it should be start like this:
|
||||
|
||||
## xxx的改进版本
|
||||
（改进版本的内容）
|
||||
## Improved version of xxx
|
||||
(the improved version of the content)
|
||||
```
|
||||
|
||||
'''
|
||||
|
||||
@@ -83,15 +83,11 @@ def executePlan(plan, num_StepToRun, RehearsalLog, AgentProfile_Dict):
|
||||
}
|
||||
|
||||
# start the group chat
|
||||
util.print_colored(TaskDescription, text_color="green")
|
||||
ActionHistory = []
|
||||
action_count = 0
|
||||
total_actions = len(TaskProcess)
|
||||
|
||||
for ActionInfo in TaskProcess:
|
||||
action_count += 1
|
||||
actionType = ActionInfo["ActionType"]
|
||||
agentName = ActionInfo["AgentName"]
|
||||
|
||||
if actionType in Action.customAction_Dict:
|
||||
currentAction = Action.customAction_Dict[actionType](
|
||||
info=ActionInfo,
|
||||
@@ -122,4 +118,11 @@ def executePlan(plan, num_StepToRun, RehearsalLog, AgentProfile_Dict):
|
||||
stepLogNode["ActionHistory"] = ActionHistory
|
||||
|
||||
# Return Output
|
||||
print(
|
||||
colored(
|
||||
"$Run " + str(StepRun_count) + "step$",
|
||||
color="black",
|
||||
on_color="on_white",
|
||||
)
|
||||
)
|
||||
return RehearsalLog
|
||||
|
||||
@@ -1,619 +0,0 @@
|
||||
"""
|
||||
优化版执行计划 - 支持动态追加步骤
|
||||
在执行过程中可以接收新的步骤并追加到执行队列
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import time
|
||||
from typing import List, Dict, Set, Generator, Any
|
||||
import AgentCoord.RehearsalEngine_V2.Action as Action
|
||||
import AgentCoord.util as util
|
||||
from termcolor import colored
|
||||
from AgentCoord.RehearsalEngine_V2.execution_state import execution_state_manager
|
||||
from AgentCoord.RehearsalEngine_V2.dynamic_execution_manager import dynamic_execution_manager
|
||||
|
||||
|
||||
# ==================== 配置参数 ====================
|
||||
# 最大并发请求数
|
||||
MAX_CONCURRENT_REQUESTS = 2
|
||||
|
||||
# 批次之间的延迟
|
||||
BATCH_DELAY = 1.0
|
||||
|
||||
# 429错误重试次数和延迟
|
||||
MAX_RETRIES = 3
|
||||
RETRY_DELAY = 5.0
|
||||
|
||||
|
||||
# ==================== 限流器 ====================
|
||||
class RateLimiter:
|
||||
"""
|
||||
异步限流器，控制并发请求数量
|
||||
"""
|
||||
|
||||
def __init__(self, max_concurrent: int = MAX_CONCURRENT_REQUESTS):
|
||||
self.semaphore = asyncio.Semaphore(max_concurrent)
|
||||
self.max_concurrent = max_concurrent
|
||||
|
||||
async def __aenter__(self):
|
||||
await self.semaphore.acquire()
|
||||
return self
|
||||
|
||||
async def __aexit__(self, *args):
|
||||
self.semaphore.release()
|
||||
|
||||
|
||||
# 全局限流器实例
|
||||
rate_limiter = RateLimiter()
|
||||
|
||||
|
||||
def build_action_dependency_graph(TaskProcess: List[Dict]) -> Dict[int, List[int]]:
|
||||
"""
|
||||
构建动作依赖图
|
||||
|
||||
Args:
|
||||
TaskProcess: 任务流程列表
|
||||
|
||||
Returns:
|
||||
依赖映射字典 {action_index: [dependent_action_indices]}
|
||||
"""
|
||||
dependency_map = {i: [] for i in range(len(TaskProcess))}
|
||||
|
||||
for i, action in enumerate(TaskProcess):
|
||||
important_inputs = action.get('ImportantInput', [])
|
||||
if not important_inputs:
|
||||
continue
|
||||
|
||||
# 检查是否依赖其他动作的ActionResult
|
||||
for j, prev_action in enumerate(TaskProcess):
|
||||
if i == j:
|
||||
continue
|
||||
|
||||
# 判断是否依赖前一个动作的结果
|
||||
if any(
|
||||
inp.startswith('ActionResult:') and
|
||||
inp == f'ActionResult:{prev_action["ID"]}'
|
||||
for inp in important_inputs
|
||||
):
|
||||
dependency_map[i].append(j)
|
||||
|
||||
return dependency_map
|
||||
|
||||
|
||||
def get_parallel_batches(TaskProcess: List[Dict], dependency_map: Dict[int, List[int]]) -> List[List[int]]:
|
||||
"""
|
||||
将动作分为多个批次，每批内部可以并行执行
|
||||
|
||||
Args:
|
||||
TaskProcess: 任务流程列表
|
||||
dependency_map: 依赖图
|
||||
|
||||
Returns:
|
||||
批次列表 [[batch1_indices], [batch2_indices], ...]
|
||||
"""
|
||||
batches = []
|
||||
completed: Set[int] = set()
|
||||
|
||||
while len(completed) < len(TaskProcess):
|
||||
# 找出所有依赖已满足的动作
|
||||
ready_to_run = [
|
||||
i for i in range(len(TaskProcess))
|
||||
if i not in completed and
|
||||
all(dep in completed for dep in dependency_map[i])
|
||||
]
|
||||
|
||||
if not ready_to_run:
|
||||
# 避免死循环
|
||||
remaining = [i for i in range(len(TaskProcess)) if i not in completed]
|
||||
if remaining:
|
||||
ready_to_run = remaining[:1]
|
||||
else:
|
||||
break
|
||||
|
||||
batches.append(ready_to_run)
|
||||
completed.update(ready_to_run)
|
||||
|
||||
return batches
|
||||
|
||||
|
||||
async def execute_single_action_async(
|
||||
ActionInfo: Dict,
|
||||
General_Goal: str,
|
||||
TaskDescription: str,
|
||||
OutputName: str,
|
||||
KeyObjects: Dict,
|
||||
ActionHistory: List,
|
||||
agentName: str,
|
||||
AgentProfile_Dict: Dict,
|
||||
InputName_List: List[str]
|
||||
) -> Dict:
|
||||
"""
|
||||
异步执行单个动作
|
||||
|
||||
Args:
|
||||
ActionInfo: 动作信息
|
||||
General_Goal: 总体目标
|
||||
TaskDescription: 任务描述
|
||||
OutputName: 输出对象名称
|
||||
KeyObjects: 关键对象字典
|
||||
ActionHistory: 动作历史
|
||||
agentName: 智能体名称
|
||||
AgentProfile_Dict: 智能体配置字典
|
||||
InputName_List: 输入名称列表
|
||||
|
||||
Returns:
|
||||
动作执行结果
|
||||
"""
|
||||
actionType = ActionInfo["ActionType"]
|
||||
|
||||
# 创建动作实例
|
||||
if actionType in Action.customAction_Dict:
|
||||
currentAction = Action.customAction_Dict[actionType](
|
||||
info=ActionInfo,
|
||||
OutputName=OutputName,
|
||||
KeyObjects=KeyObjects,
|
||||
)
|
||||
else:
|
||||
currentAction = Action.BaseAction(
|
||||
info=ActionInfo,
|
||||
OutputName=OutputName,
|
||||
KeyObjects=KeyObjects,
|
||||
)
|
||||
|
||||
# 在线程池中运行，避免阻塞事件循环
|
||||
loop = asyncio.get_event_loop()
|
||||
ActionInfo_with_Result = await loop.run_in_executor(
|
||||
None,
|
||||
lambda: currentAction.run(
|
||||
General_Goal=General_Goal,
|
||||
TaskDescription=TaskDescription,
|
||||
agentName=agentName,
|
||||
AgentProfile_Dict=AgentProfile_Dict,
|
||||
InputName_List=InputName_List,
|
||||
OutputName=OutputName,
|
||||
KeyObjects=KeyObjects,
|
||||
ActionHistory=ActionHistory,
|
||||
)
|
||||
)
|
||||
|
||||
return ActionInfo_with_Result
|
||||
|
||||
|
||||
async def execute_step_async_streaming(
|
||||
stepDescrip: Dict,
|
||||
General_Goal: str,
|
||||
AgentProfile_Dict: Dict,
|
||||
KeyObjects: Dict,
|
||||
step_index: int,
|
||||
total_steps: int,
|
||||
execution_id: str = None,
|
||||
RehearsalLog: List = None # 用于追加日志到历史记录
|
||||
) -> Generator[Dict, None, None]:
|
||||
"""
|
||||
异步执行单个步骤，支持流式返回
|
||||
|
||||
Args:
|
||||
stepDescrip: 步骤描述
|
||||
General_Goal: 总体目标
|
||||
AgentProfile_Dict: 智能体配置字典
|
||||
KeyObjects: 关键对象字典
|
||||
step_index: 步骤索引
|
||||
total_steps: 总步骤数
|
||||
execution_id: 执行ID
|
||||
|
||||
Yields:
|
||||
执行事件字典
|
||||
"""
|
||||
# 准备步骤信息
|
||||
StepName = (
|
||||
util.camel_case_to_normal(stepDescrip["StepName"])
|
||||
if util.is_camel_case(stepDescrip["StepName"])
|
||||
else stepDescrip["StepName"]
|
||||
)
|
||||
TaskContent = stepDescrip["TaskContent"]
|
||||
InputName_List = (
|
||||
[
|
||||
(
|
||||
util.camel_case_to_normal(obj)
|
||||
if util.is_camel_case(obj)
|
||||
else obj
|
||||
)
|
||||
for obj in stepDescrip["InputObject_List"]
|
||||
]
|
||||
if stepDescrip["InputObject_List"] is not None
|
||||
else None
|
||||
)
|
||||
OutputName = (
|
||||
util.camel_case_to_normal(stepDescrip["OutputObject"])
|
||||
if util.is_camel_case(stepDescrip["OutputObject"])
|
||||
else stepDescrip["OutputObject"]
|
||||
)
|
||||
Agent_List = stepDescrip["AgentSelection"]
|
||||
TaskProcess = stepDescrip["TaskProcess"]
|
||||
|
||||
TaskDescription = (
|
||||
util.converter.generate_template_sentence_for_CollaborationBrief(
|
||||
input_object_list=InputName_List,
|
||||
output_object=OutputName,
|
||||
agent_list=Agent_List,
|
||||
step_task=TaskContent,
|
||||
)
|
||||
)
|
||||
|
||||
# 初始化日志节点
|
||||
inputObject_Record = [
|
||||
{InputName: KeyObjects[InputName]} for InputName in InputName_List
|
||||
]
|
||||
stepLogNode = {
|
||||
"LogNodeType": "step",
|
||||
"NodeId": StepName,
|
||||
"InputName_List": InputName_List,
|
||||
"OutputName": OutputName,
|
||||
"chatLog": [],
|
||||
"inputObject_Record": inputObject_Record,
|
||||
}
|
||||
objectLogNode = {
|
||||
"LogNodeType": "object",
|
||||
"NodeId": OutputName,
|
||||
"content": None,
|
||||
}
|
||||
|
||||
# 返回步骤开始事件
|
||||
yield {
|
||||
"type": "step_start",
|
||||
"step_index": step_index,
|
||||
"total_steps": total_steps,
|
||||
"step_name": StepName,
|
||||
"task_description": TaskDescription,
|
||||
}
|
||||
|
||||
# 构建动作依赖图
|
||||
dependency_map = build_action_dependency_graph(TaskProcess)
|
||||
batches = get_parallel_batches(TaskProcess, dependency_map)
|
||||
|
||||
ActionHistory = []
|
||||
total_actions = len(TaskProcess)
|
||||
completed_actions = 0
|
||||
|
||||
# 步骤开始日志
|
||||
util.print_colored(
|
||||
f"📋 步骤 {step_index + 1}/{total_steps}: {StepName} ({total_actions} 个动作, 分 {len(batches)} 批执行)",
|
||||
text_color="cyan"
|
||||
)
|
||||
|
||||
# 分批执行动作
|
||||
for batch_index, batch_indices in enumerate(batches):
|
||||
# 在每个批次执行前检查暂停状态
|
||||
should_continue = await execution_state_manager.async_check_pause(execution_id)
|
||||
if not should_continue:
|
||||
return
|
||||
|
||||
batch_size = len(batch_indices)
|
||||
|
||||
# 批次执行日志
|
||||
if batch_size > 1:
|
||||
util.print_colored(
|
||||
f"🚦 批次 {batch_index + 1}/{len(batches)}: 并行执行 {batch_size} 个动作",
|
||||
text_color="blue"
|
||||
)
|
||||
else:
|
||||
util.print_colored(
|
||||
f"🔄 批次 {batch_index + 1}/{len(batches)}: 串行执行",
|
||||
text_color="yellow"
|
||||
)
|
||||
|
||||
# 并行执行当前批次的所有动作
|
||||
tasks = [
|
||||
execute_single_action_async(
|
||||
TaskProcess[i],
|
||||
General_Goal=General_Goal,
|
||||
TaskDescription=TaskDescription,
|
||||
OutputName=OutputName,
|
||||
KeyObjects=KeyObjects,
|
||||
ActionHistory=ActionHistory,
|
||||
agentName=TaskProcess[i]["AgentName"],
|
||||
AgentProfile_Dict=AgentProfile_Dict,
|
||||
InputName_List=InputName_List
|
||||
)
|
||||
for i in batch_indices
|
||||
]
|
||||
|
||||
# 等待当前批次完成
|
||||
batch_results = await asyncio.gather(*tasks)
|
||||
|
||||
# 逐个返回结果
|
||||
for i, result in enumerate(batch_results):
|
||||
action_index_in_batch = batch_indices[i]
|
||||
completed_actions += 1
|
||||
|
||||
util.print_colored(
|
||||
f"✅ 动作 {completed_actions}/{total_actions} 完成: {result['ActionType']} by {result['AgentName']}",
|
||||
text_color="green"
|
||||
)
|
||||
|
||||
ActionHistory.append(result)
|
||||
|
||||
# 立即返回该动作结果
|
||||
yield {
|
||||
"type": "action_complete",
|
||||
"step_index": step_index,
|
||||
"step_name": StepName,
|
||||
"action_index": action_index_in_batch,
|
||||
"total_actions": total_actions,
|
||||
"completed_actions": completed_actions,
|
||||
"action_result": result,
|
||||
"batch_info": {
|
||||
"batch_index": batch_index,
|
||||
"batch_size": batch_size,
|
||||
"is_parallel": batch_size > 1
|
||||
}
|
||||
}
|
||||
|
||||
# 步骤完成
|
||||
objectLogNode["content"] = KeyObjects[OutputName]
|
||||
stepLogNode["ActionHistory"] = ActionHistory
|
||||
|
||||
# 收集该步骤使用的 agent（去重）
|
||||
assigned_agents_in_step = list(set(Agent_List)) if Agent_List else []
|
||||
|
||||
# 追加到 RehearsalLog（因为 RehearsalLog 是可变对象，会反映到原列表）
|
||||
if RehearsalLog is not None:
|
||||
RehearsalLog.append(stepLogNode)
|
||||
RehearsalLog.append(objectLogNode)
|
||||
|
||||
yield {
|
||||
"type": "step_complete",
|
||||
"step_index": step_index,
|
||||
"step_name": StepName,
|
||||
"step_log_node": stepLogNode,
|
||||
"object_log_node": objectLogNode,
|
||||
"assigned_agents": {StepName: assigned_agents_in_step}, # 该步骤使用的 agent
|
||||
}
|
||||
|
||||
|
||||
def executePlan_streaming_dynamic(
|
||||
plan: Dict,
|
||||
num_StepToRun: int,
|
||||
RehearsalLog: List,
|
||||
AgentProfile_Dict: Dict,
|
||||
existingKeyObjects: Dict = None,
|
||||
execution_id: str = None
|
||||
) -> Generator[str, None, None]:
|
||||
"""
|
||||
动态执行计划，支持在执行过程中追加新步骤
|
||||
|
||||
Args:
|
||||
plan: 执行计划
|
||||
num_StepToRun: 要运行的步骤数
|
||||
RehearsalLog: 已执行的历史记录
|
||||
AgentProfile_Dict: 智能体配置
|
||||
existingKeyObjects: 已存在的KeyObjects
|
||||
execution_id: 执行ID（用于动态追加步骤）
|
||||
|
||||
Yields:
|
||||
SSE格式的事件字符串
|
||||
"""
|
||||
# 初始化执行状态
|
||||
general_goal = plan.get("General Goal", "")
|
||||
|
||||
# 确保有 execution_id
|
||||
if execution_id is None:
|
||||
import time
|
||||
execution_id = f"{general_goal}_{int(time.time() * 1000)}"
|
||||
|
||||
execution_state_manager.start_execution(execution_id, general_goal)
|
||||
|
||||
# 准备执行
|
||||
KeyObjects = existingKeyObjects.copy() if existingKeyObjects else {}
|
||||
finishedStep_index = -1
|
||||
|
||||
for logNode in RehearsalLog:
|
||||
if logNode["LogNodeType"] == "step":
|
||||
finishedStep_index += 1
|
||||
if logNode["LogNodeType"] == "object":
|
||||
KeyObjects[logNode["NodeId"]] = logNode["content"]
|
||||
|
||||
# 确定要运行的步骤范围
|
||||
if num_StepToRun is None:
|
||||
run_to = len(plan["Collaboration Process"])
|
||||
else:
|
||||
run_to = (finishedStep_index + 1) + num_StepToRun
|
||||
|
||||
steps_to_run = plan["Collaboration Process"][(finishedStep_index + 1): run_to]
|
||||
|
||||
# 使用动态执行管理器
|
||||
if execution_id:
|
||||
# 初始化执行管理器，使用传入的execution_id
|
||||
actual_execution_id = dynamic_execution_manager.start_execution(general_goal, steps_to_run, execution_id)
|
||||
|
||||
total_steps = len(steps_to_run)
|
||||
|
||||
# 使用队列实现流式推送
|
||||
async def produce_events(queue: asyncio.Queue):
|
||||
"""异步生产者"""
|
||||
try:
|
||||
step_index = 0
|
||||
|
||||
if execution_id:
|
||||
# 动态模式：循环获取下一个步骤
|
||||
# 等待新步骤的最大次数（避免无限等待）
|
||||
max_empty_wait_cycles = 5 # 最多等待60次，每次等待1秒
|
||||
empty_wait_count = 0
|
||||
|
||||
while True:
|
||||
# 检查暂停状态
|
||||
should_continue = await execution_state_manager.async_check_pause(execution_id)
|
||||
if not should_continue:
|
||||
util.print_colored("🛑 用户请求停止执行", "red")
|
||||
await queue.put({
|
||||
"type": "error",
|
||||
"message": "执行已被用户停止"
|
||||
})
|
||||
break
|
||||
|
||||
# 获取下一个步骤
|
||||
stepDescrip = dynamic_execution_manager.get_next_step(execution_id)
|
||||
|
||||
if stepDescrip is None:
|
||||
# 没有更多步骤了，检查是否应该继续等待
|
||||
empty_wait_count += 1
|
||||
|
||||
# 获取执行信息
|
||||
execution_info = dynamic_execution_manager.get_execution_info(execution_id)
|
||||
|
||||
if execution_info:
|
||||
queue_total_steps = execution_info.get("total_steps", 0)
|
||||
completed_steps = execution_info.get("completed_steps", 0)
|
||||
|
||||
# 如果没有步骤在队列中（queue_total_steps为0），立即退出
|
||||
if queue_total_steps == 0:
|
||||
break
|
||||
|
||||
# 如果所有步骤都已完成，等待可能的新步骤
|
||||
if completed_steps >= queue_total_steps:
|
||||
if empty_wait_count >= max_empty_wait_cycles:
|
||||
# 等待超时，退出执行
|
||||
break
|
||||
else:
|
||||
# 等待新步骤追加
|
||||
await asyncio.sleep(1)
|
||||
continue
|
||||
else:
|
||||
# 还有步骤未完成，继续尝试获取
|
||||
await asyncio.sleep(0.5)
|
||||
empty_wait_count = 0 # 重置等待计数
|
||||
continue
|
||||
else:
|
||||
# 执行信息不存在，退出
|
||||
break
|
||||
|
||||
# 重置等待计数
|
||||
empty_wait_count = 0
|
||||
|
||||
# 获取最新的总步骤数（用于显示）
|
||||
execution_info = dynamic_execution_manager.get_execution_info(execution_id)
|
||||
current_total_steps = execution_info.get("total_steps", total_steps) if execution_info else total_steps
|
||||
|
||||
# 执行步骤
|
||||
async for event in execute_step_async_streaming(
|
||||
stepDescrip,
|
||||
plan["General Goal"],
|
||||
AgentProfile_Dict,
|
||||
KeyObjects,
|
||||
step_index,
|
||||
current_total_steps, # 使用动态更新的总步骤数
|
||||
execution_id,
|
||||
RehearsalLog # 传递 RehearsalLog 用于追加日志
|
||||
):
|
||||
if execution_state_manager.is_stopped(execution_id):
|
||||
await queue.put({
|
||||
"type": "error",
|
||||
"message": "执行已被用户停止"
|
||||
})
|
||||
return
|
||||
|
||||
await queue.put(event)
|
||||
|
||||
# 标记步骤完成
|
||||
dynamic_execution_manager.mark_step_completed(execution_id)
|
||||
|
||||
# 更新KeyObjects
|
||||
OutputName = stepDescrip.get("OutputObject", "")
|
||||
if OutputName and OutputName in KeyObjects:
|
||||
# 对象日志节点会在step_complete中发送
|
||||
pass
|
||||
|
||||
step_index += 1
|
||||
|
||||
else:
|
||||
# 非动态模式：按顺序执行所有步骤
|
||||
for step_index, stepDescrip in enumerate(steps_to_run):
|
||||
should_continue = await execution_state_manager.async_check_pause(execution_id)
|
||||
if not should_continue:
|
||||
util.print_colored("🛑 用户请求停止执行", "red")
|
||||
await queue.put({
|
||||
"type": "error",
|
||||
"message": "执行已被用户停止"
|
||||
})
|
||||
return
|
||||
|
||||
async for event in execute_step_async_streaming(
|
||||
stepDescrip,
|
||||
plan["General Goal"],
|
||||
AgentProfile_Dict,
|
||||
KeyObjects,
|
||||
step_index,
|
||||
total_steps,
|
||||
execution_id,
|
||||
RehearsalLog # 传递 RehearsalLog 用于追加日志
|
||||
):
|
||||
if execution_state_manager.is_stopped(execution_id):
|
||||
await queue.put({
|
||||
"type": "error",
|
||||
"message": "执行已被用户停止"
|
||||
})
|
||||
return
|
||||
|
||||
await queue.put(event)
|
||||
|
||||
except Exception as e:
|
||||
await queue.put({
|
||||
"type": "error",
|
||||
"message": f"执行出错: {str(e)}"
|
||||
})
|
||||
finally:
|
||||
await queue.put(None)
|
||||
|
||||
# 运行异步任务并实时yield
|
||||
loop = asyncio.new_event_loop()
|
||||
asyncio.set_event_loop(loop)
|
||||
|
||||
try:
|
||||
queue = asyncio.Queue(maxsize=10)
|
||||
producer_task = loop.create_task(produce_events(queue))
|
||||
|
||||
while True:
|
||||
event = loop.run_until_complete(queue.get())
|
||||
if event is None:
|
||||
break
|
||||
|
||||
# 立即转换为SSE格式并发送
|
||||
event_str = json.dumps(event, ensure_ascii=False)
|
||||
yield f"data: {event_str}\n\n"
|
||||
|
||||
loop.run_until_complete(producer_task)
|
||||
|
||||
if not execution_state_manager.is_stopped(execution_id):
|
||||
complete_event = json.dumps({
|
||||
"type": "execution_complete",
|
||||
"total_steps": total_steps
|
||||
}, ensure_ascii=False)
|
||||
yield f"data: {complete_event}\n\n"
|
||||
|
||||
finally:
|
||||
# 在关闭事件循环之前先清理执行记录
|
||||
if execution_id:
|
||||
# 清理执行记录
|
||||
dynamic_execution_manager.cleanup(execution_id)
|
||||
# 清理执行状态
|
||||
execution_state_manager.cleanup(execution_id)
|
||||
|
||||
if 'producer_task' in locals():
|
||||
if not producer_task.done():
|
||||
producer_task.cancel()
|
||||
|
||||
# 确保所有任务都完成后再关闭事件循环
|
||||
try:
|
||||
pending = asyncio.all_tasks(loop)
|
||||
for task in pending:
|
||||
task.cancel()
|
||||
loop.run_until_complete(asyncio.gather(*pending, return_exceptions=True))
|
||||
except Exception:
|
||||
pass # 忽略清理过程中的错误
|
||||
|
||||
loop.close()
|
||||
|
||||
|
||||
# 保留旧版本函数以保持兼容性
|
||||
executePlan_streaming = executePlan_streaming_dynamic
|
||||
@@ -1,226 +0,0 @@
|
||||
"""
|
||||
动态执行管理器
|
||||
用于在任务执行过程中动态追加新步骤
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
from typing import Dict, List, Optional, Any
|
||||
from threading import Lock
|
||||
|
||||
|
||||
class DynamicExecutionManager:
|
||||
"""
|
||||
动态执行管理器
|
||||
管理正在执行的任务，支持动态追加新步骤
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
# 执行状态: goal -> execution_info
|
||||
self._executions: Dict[str, Dict] = {}
|
||||
|
||||
# 线程锁
|
||||
self._lock = Lock()
|
||||
|
||||
# 步骤队列: goal -> List[step]
|
||||
self._step_queues: Dict[str, List] = {}
|
||||
|
||||
# 已执行的步骤索引: goal -> Set[step_index]
|
||||
self._executed_steps: Dict[str, set] = {}
|
||||
|
||||
# 待执行的步骤索引: goal -> List[step_index]
|
||||
self._pending_steps: Dict[str, List[int]] = {}
|
||||
|
||||
def start_execution(self, goal: str, initial_steps: List[Dict], execution_id: str = None) -> str:
|
||||
"""
|
||||
开始执行一个新的任务
|
||||
|
||||
Args:
|
||||
goal: 任务目标
|
||||
initial_steps: 初始步骤列表
|
||||
execution_id: 执行ID，如果不提供则自动生成
|
||||
|
||||
Returns:
|
||||
执行ID
|
||||
"""
|
||||
with self._lock:
|
||||
# 如果未提供execution_id，则生成一个
|
||||
if execution_id is None:
|
||||
execution_id = f"{goal}_{asyncio.get_event_loop().time()}"
|
||||
|
||||
self._executions[execution_id] = {
|
||||
"goal": goal,
|
||||
"status": "running",
|
||||
"total_steps": len(initial_steps),
|
||||
"completed_steps": 0
|
||||
}
|
||||
|
||||
# 初始化步骤队列
|
||||
self._step_queues[execution_id] = initial_steps.copy()
|
||||
|
||||
# 初始化已执行步骤集合
|
||||
self._executed_steps[execution_id] = set()
|
||||
|
||||
# 初始化待执行步骤索引
|
||||
self._pending_steps[execution_id] = list(range(len(initial_steps)))
|
||||
|
||||
print(f"[Execution] 启动执行: {execution_id}, 步骤数={len(initial_steps)}")
|
||||
return execution_id
|
||||
|
||||
def add_steps(self, execution_id: str, new_steps: List[Dict]) -> int:
|
||||
"""
|
||||
向执行中追加新步骤
|
||||
|
||||
Args:
|
||||
execution_id: 执行ID
|
||||
new_steps: 新步骤列表
|
||||
|
||||
Returns:
|
||||
追加的步骤数量
|
||||
"""
|
||||
with self._lock:
|
||||
if execution_id not in self._step_queues:
|
||||
return 0
|
||||
|
||||
current_count = len(self._step_queues[execution_id])
|
||||
|
||||
# 追加新步骤到队列
|
||||
self._step_queues[execution_id].extend(new_steps)
|
||||
|
||||
# 添加新步骤的索引到待执行列表
|
||||
new_indices = list(range(current_count, current_count + len(new_steps)))
|
||||
self._pending_steps[execution_id].extend(new_indices)
|
||||
|
||||
# 更新总步骤数
|
||||
self._executions[execution_id]["total_steps"] = len(self._step_queues[execution_id])
|
||||
|
||||
print(f"[Execution] 追加步骤: +{len(new_steps)}, 总计={self._executions[execution_id]['total_steps']}")
|
||||
return len(new_steps)
|
||||
|
||||
def get_next_step(self, execution_id: str) -> Optional[Dict]:
|
||||
"""
|
||||
获取下一个待执行的步骤
|
||||
|
||||
Args:
|
||||
execution_id: 执行ID
|
||||
|
||||
Returns:
|
||||
下一个步骤，如果没有则返回None
|
||||
"""
|
||||
with self._lock:
|
||||
if execution_id not in self._pending_steps:
|
||||
return None
|
||||
|
||||
# 获取第一个待执行步骤的索引
|
||||
if not self._pending_steps[execution_id]:
|
||||
return None
|
||||
|
||||
step_index = self._pending_steps[execution_id].pop(0)
|
||||
|
||||
# 从队列中获取步骤
|
||||
if step_index >= len(self._step_queues[execution_id]):
|
||||
return None
|
||||
|
||||
step = self._step_queues[execution_id][step_index]
|
||||
|
||||
# 标记为已执行
|
||||
self._executed_steps[execution_id].add(step_index)
|
||||
|
||||
step_name = step.get("StepName", "未知")
|
||||
print(f"[Execution] 获取步骤: {step_name} (索引: {step_index})")
|
||||
return step
|
||||
|
||||
def mark_step_completed(self, execution_id: str):
|
||||
"""
|
||||
标记一个步骤完成
|
||||
|
||||
Args:
|
||||
execution_id: 执行ID
|
||||
"""
|
||||
with self._lock:
|
||||
if execution_id in self._executions:
|
||||
self._executions[execution_id]["completed_steps"] += 1
|
||||
completed = self._executions[execution_id]["completed_steps"]
|
||||
total = self._executions[execution_id]["total_steps"]
|
||||
print(f"[Execution] 步骤完成: {completed}/{total}")
|
||||
|
||||
def get_execution_info(self, execution_id: str) -> Optional[Dict]:
|
||||
"""
|
||||
获取执行信息
|
||||
|
||||
Args:
|
||||
execution_id: 执行ID
|
||||
|
||||
Returns:
|
||||
执行信息字典
|
||||
"""
|
||||
with self._lock:
|
||||
return self._executions.get(execution_id)
|
||||
|
||||
def get_pending_count(self, execution_id: str) -> int:
|
||||
"""
|
||||
获取待执行步骤数量
|
||||
|
||||
Args:
|
||||
execution_id: 执行ID
|
||||
|
||||
Returns:
|
||||
待执行步骤数量
|
||||
"""
|
||||
with self._lock:
|
||||
if execution_id not in self._pending_steps:
|
||||
return 0
|
||||
return len(self._pending_steps[execution_id])
|
||||
|
||||
def has_more_steps(self, execution_id: str) -> bool:
|
||||
"""
|
||||
检查是否还有更多步骤待执行
|
||||
|
||||
Args:
|
||||
execution_id: 执行ID
|
||||
|
||||
Returns:
|
||||
是否还有待执行步骤
|
||||
"""
|
||||
with self._lock:
|
||||
if execution_id not in self._pending_steps:
|
||||
return False
|
||||
return len(self._pending_steps[execution_id]) > 0
|
||||
|
||||
def finish_execution(self, execution_id: str):
|
||||
"""
|
||||
完成执行
|
||||
|
||||
Args:
|
||||
execution_id: 执行ID
|
||||
"""
|
||||
with self._lock:
|
||||
if execution_id in self._executions:
|
||||
self._executions[execution_id]["status"] = "completed"
|
||||
|
||||
def cancel_execution(self, execution_id: str):
|
||||
"""
|
||||
取消执行
|
||||
|
||||
Args:
|
||||
execution_id: 执行ID
|
||||
"""
|
||||
with self._lock:
|
||||
if execution_id in self._executions:
|
||||
self._executions[execution_id]["status"] = "cancelled"
|
||||
|
||||
def cleanup(self, execution_id: str):
|
||||
"""
|
||||
清理执行记录
|
||||
|
||||
Args:
|
||||
execution_id: 执行ID
|
||||
"""
|
||||
with self._lock:
|
||||
self._executions.pop(execution_id, None)
|
||||
self._step_queues.pop(execution_id, None)
|
||||
self._executed_steps.pop(execution_id, None)
|
||||
self._pending_steps.pop(execution_id, None)
|
||||
|
||||
|
||||
# 全局单例
|
||||
dynamic_execution_manager = DynamicExecutionManager()
|
||||
@@ -1,292 +0,0 @@
|
||||
"""
|
||||
全局执行状态管理器
|
||||
用于支持任务的暂停、恢复和停止功能
|
||||
使用轮询检查机制，确保线程安全
|
||||
支持多用户/多执行ID并行管理
|
||||
"""
|
||||
|
||||
import threading
|
||||
import asyncio
|
||||
from typing import Optional, Dict
|
||||
from enum import Enum
|
||||
|
||||
|
||||
class ExecutionStatus(Enum):
|
||||
"""执行状态枚举"""
|
||||
RUNNING = "running" # 正在运行
|
||||
PAUSED = "paused" # 已暂停
|
||||
STOPPED = "stopped" # 已停止
|
||||
IDLE = "idle" # 空闲
|
||||
|
||||
|
||||
class ExecutionStateManager:
|
||||
"""
|
||||
全局执行状态管理器
|
||||
|
||||
功能：
|
||||
- 管理多用户/多执行ID的并行状态（使用字典存储）
|
||||
- 管理任务执行状态（运行/暂停/停止）
|
||||
- 使用轮询检查机制，避免异步事件的线程问题
|
||||
- 提供线程安全的状态查询和修改接口
|
||||
|
||||
设计说明：
|
||||
- 保持单例模式（Manager本身）
|
||||
- 但内部状态按 execution_id 隔离存储
|
||||
- 解决了多用户并发问题
|
||||
"""
|
||||
|
||||
_instance: Optional['ExecutionStateManager'] = None
|
||||
_lock = threading.Lock()
|
||||
|
||||
def __new__(cls):
|
||||
"""单例模式"""
|
||||
if cls._instance is None:
|
||||
with cls._lock:
|
||||
if cls._instance is None:
|
||||
cls._instance = super().__new__(cls)
|
||||
cls._instance._initialized = False
|
||||
return cls._instance
|
||||
|
||||
def __init__(self):
|
||||
"""初始化状态管理器"""
|
||||
if self._initialized:
|
||||
return
|
||||
|
||||
self._initialized = True
|
||||
|
||||
# 状态存储：execution_id -> 状态字典
|
||||
# 结构：{
|
||||
# 'status': ExecutionStatus,
|
||||
# 'goal': str,
|
||||
# 'should_pause': bool,
|
||||
# 'should_stop': bool
|
||||
# }
|
||||
self._states: Dict[str, Dict] = {}
|
||||
|
||||
# 每个 execution_id 的锁（更细粒度的锁）
|
||||
self._locks: Dict[str, threading.Lock] = {}
|
||||
|
||||
# 全局锁（用于管理 _states 和 _locks 本身的线程安全）
|
||||
self._manager_lock = threading.Lock()
|
||||
|
||||
def _get_lock(self, execution_id: str) -> threading.Lock:
|
||||
"""获取指定 execution_id 的锁，如果不存在则创建"""
|
||||
with self._manager_lock:
|
||||
if execution_id not in self._locks:
|
||||
self._locks[execution_id] = threading.Lock()
|
||||
return self._locks[execution_id]
|
||||
|
||||
def _ensure_state(self, execution_id: str) -> Dict:
|
||||
"""确保指定 execution_id 的状态存在"""
|
||||
with self._manager_lock:
|
||||
if execution_id not in self._states:
|
||||
self._states[execution_id] = {
|
||||
'status': ExecutionStatus.IDLE,
|
||||
'goal': None,
|
||||
'should_pause': False,
|
||||
'should_stop': False
|
||||
}
|
||||
return self._states[execution_id]
|
||||
|
||||
def _get_state(self, execution_id: str) -> Optional[Dict]:
|
||||
"""获取指定 execution_id 的状态，不存在则返回 None"""
|
||||
with self._manager_lock:
|
||||
return self._states.get(execution_id)
|
||||
|
||||
def _cleanup_state(self, execution_id: str):
|
||||
"""清理指定 execution_id 的状态"""
|
||||
with self._manager_lock:
|
||||
self._states.pop(execution_id, None)
|
||||
self._locks.pop(execution_id, None)
|
||||
|
||||
def get_status(self, execution_id: str) -> Optional[ExecutionStatus]:
|
||||
"""获取当前执行状态"""
|
||||
state = self._get_state(execution_id)
|
||||
if state is None:
|
||||
return None
|
||||
with self._get_lock(execution_id):
|
||||
return state['status']
|
||||
|
||||
def set_goal(self, execution_id: str, goal: str):
|
||||
"""设置当前执行的任务目标"""
|
||||
state = self._ensure_state(execution_id)
|
||||
with self._get_lock(execution_id):
|
||||
state['goal'] = goal
|
||||
|
||||
def get_goal(self, execution_id: str) -> Optional[str]:
|
||||
"""获取当前执行的任务目标"""
|
||||
state = self._get_state(execution_id)
|
||||
if state is None:
|
||||
return None
|
||||
with self._get_lock(execution_id):
|
||||
return state['goal']
|
||||
|
||||
def start_execution(self, execution_id: str, goal: str):
|
||||
"""开始执行"""
|
||||
state = self._ensure_state(execution_id)
|
||||
with self._get_lock(execution_id):
|
||||
state['status'] = ExecutionStatus.RUNNING
|
||||
state['goal'] = goal
|
||||
state['should_pause'] = False
|
||||
state['should_stop'] = False
|
||||
|
||||
def pause_execution(self, execution_id: str) -> bool:
|
||||
"""
|
||||
暂停执行
|
||||
|
||||
Args:
|
||||
execution_id: 执行ID
|
||||
|
||||
Returns:
|
||||
bool: 是否成功暂停
|
||||
"""
|
||||
state = self._get_state(execution_id)
|
||||
if state is None:
|
||||
return False
|
||||
|
||||
with self._get_lock(execution_id):
|
||||
if state['status'] != ExecutionStatus.RUNNING:
|
||||
return False
|
||||
state['status'] = ExecutionStatus.PAUSED
|
||||
state['should_pause'] = True
|
||||
return True
|
||||
|
||||
def resume_execution(self, execution_id: str) -> bool:
|
||||
"""
|
||||
恢复执行
|
||||
|
||||
Args:
|
||||
execution_id: 执行ID
|
||||
|
||||
Returns:
|
||||
bool: 是否成功恢复
|
||||
"""
|
||||
state = self._get_state(execution_id)
|
||||
if state is None:
|
||||
return False
|
||||
|
||||
with self._get_lock(execution_id):
|
||||
if state['status'] != ExecutionStatus.PAUSED:
|
||||
return False
|
||||
state['status'] = ExecutionStatus.RUNNING
|
||||
state['should_pause'] = False
|
||||
return True
|
||||
|
||||
def stop_execution(self, execution_id: str) -> bool:
|
||||
"""
|
||||
停止执行
|
||||
|
||||
Args:
|
||||
execution_id: 执行ID
|
||||
|
||||
Returns:
|
||||
bool: 是否成功停止
|
||||
"""
|
||||
state = self._get_state(execution_id)
|
||||
if state is None:
|
||||
return False
|
||||
|
||||
with self._get_lock(execution_id):
|
||||
if state['status'] in [ExecutionStatus.IDLE, ExecutionStatus.STOPPED]:
|
||||
return False
|
||||
state['status'] = ExecutionStatus.STOPPED
|
||||
state['should_stop'] = True
|
||||
state['should_pause'] = False
|
||||
return True
|
||||
|
||||
def reset(self, execution_id: str):
|
||||
"""重置指定 execution_id 的状态为空闲"""
|
||||
state = self._ensure_state(execution_id)
|
||||
with self._get_lock(execution_id):
|
||||
state['status'] = ExecutionStatus.IDLE
|
||||
state['goal'] = None
|
||||
state['should_pause'] = False
|
||||
state['should_stop'] = False
|
||||
|
||||
def cleanup(self, execution_id: str):
|
||||
"""清理指定 execution_id 的所有状态"""
|
||||
self._cleanup_state(execution_id)
|
||||
|
||||
async def async_check_pause(self, execution_id: str):
|
||||
"""
|
||||
异步检查是否需要暂停（轮询方式）
|
||||
|
||||
如果处于暂停状态，会阻塞当前协程直到恢复或停止
|
||||
应该在执行循环的关键点调用此方法
|
||||
|
||||
Args:
|
||||
execution_id: 执行ID
|
||||
|
||||
Returns:
|
||||
bool: 如果返回True表示应该继续执行，False表示应该停止
|
||||
"""
|
||||
state = self._get_state(execution_id)
|
||||
if state is None:
|
||||
# 状态不存在，默认继续执行
|
||||
return True
|
||||
|
||||
# 使用轮询检查，避免异步事件问题
|
||||
while True:
|
||||
with self._get_lock(execution_id):
|
||||
should_stop = state['should_stop']
|
||||
should_pause = state['should_pause']
|
||||
|
||||
# 检查停止标志
|
||||
if should_stop:
|
||||
return False
|
||||
|
||||
# 检查暂停状态
|
||||
if should_pause:
|
||||
# 处于暂停状态，等待恢复
|
||||
await asyncio.sleep(0.1) # 短暂睡眠，避免占用CPU
|
||||
|
||||
# 重新获取状态
|
||||
with self._get_lock(execution_id):
|
||||
should_pause = state['should_pause']
|
||||
should_stop = state['should_stop']
|
||||
|
||||
if not should_pause:
|
||||
continue
|
||||
if should_stop:
|
||||
return False
|
||||
# 继续等待
|
||||
continue
|
||||
|
||||
# 既没有停止也没有暂停，可以继续执行
|
||||
return True
|
||||
|
||||
def is_paused(self, execution_id: str) -> bool:
|
||||
"""检查是否处于暂停状态"""
|
||||
state = self._get_state(execution_id)
|
||||
if state is None:
|
||||
return False
|
||||
with self._get_lock(execution_id):
|
||||
return state['status'] == ExecutionStatus.PAUSED
|
||||
|
||||
def is_running(self, execution_id: str) -> bool:
|
||||
"""检查是否正在运行"""
|
||||
state = self._get_state(execution_id)
|
||||
if state is None:
|
||||
return False
|
||||
with self._get_lock(execution_id):
|
||||
return state['status'] == ExecutionStatus.RUNNING
|
||||
|
||||
def is_stopped(self, execution_id: str) -> bool:
|
||||
"""检查是否已停止"""
|
||||
state = self._get_state(execution_id)
|
||||
if state is None:
|
||||
return True
|
||||
with self._get_lock(execution_id):
|
||||
return state['status'] == ExecutionStatus.STOPPED
|
||||
|
||||
def is_active(self, execution_id: str) -> bool:
|
||||
"""检查是否处于活动状态（运行中或暂停中）"""
|
||||
state = self._get_state(execution_id)
|
||||
if state is None:
|
||||
return False
|
||||
with self._get_lock(execution_id):
|
||||
return state['status'] in [ExecutionStatus.RUNNING, ExecutionStatus.PAUSED]
|
||||
|
||||
|
||||
# 全局单例实例
|
||||
execution_state_manager = ExecutionStateManager()
|
||||
@@ -1,220 +0,0 @@
|
||||
"""
|
||||
生成阶段状态管理器
|
||||
用于支持生成任务的暂停、停止功能
|
||||
使用轮询检查机制，确保线程安全
|
||||
支持多用户/多generation_id并行管理
|
||||
"""
|
||||
|
||||
import threading
|
||||
import asyncio
|
||||
import time
|
||||
from typing import Optional, Dict
|
||||
from enum import Enum
|
||||
|
||||
|
||||
class GenerationStatus(Enum):
|
||||
"""生成状态枚举"""
|
||||
GENERATING = "generating" # 正在生成
|
||||
PAUSED = "paused" # 已暂停
|
||||
STOPPED = "stopped" # 已停止
|
||||
COMPLETED = "completed" # 已完成
|
||||
IDLE = "idle" # 空闲
|
||||
|
||||
|
||||
class GenerationStateManager:
|
||||
"""
|
||||
生成阶段状态管理器
|
||||
|
||||
功能：
|
||||
- 管理多用户/多generation_id的并行状态（使用字典存储）
|
||||
- 管理生成任务状态（生成中/暂停/停止/完成）
|
||||
- 提供线程安全的状态查询和修改接口
|
||||
|
||||
设计说明：
|
||||
- 保持单例模式（Manager本身）
|
||||
- 但内部状态按 generation_id 隔离存储
|
||||
- 解决多用户并发生成时的干扰问题
|
||||
"""
|
||||
|
||||
_instance: Optional['GenerationStateManager'] = None
|
||||
_lock = threading.Lock()
|
||||
|
||||
def __new__(cls):
|
||||
"""单例模式"""
|
||||
if cls._instance is None:
|
||||
with cls._lock:
|
||||
if cls._instance is None:
|
||||
cls._instance = super().__new__(cls)
|
||||
cls._instance._initialized = False
|
||||
return cls._instance
|
||||
|
||||
def __init__(self):
|
||||
"""初始化状态管理器"""
|
||||
if self._initialized:
|
||||
return
|
||||
|
||||
self._initialized = True
|
||||
|
||||
# 状态存储：generation_id -> 状态字典
|
||||
# 结构：{
|
||||
# 'status': GenerationStatus,
|
||||
# 'goal': str,
|
||||
# 'should_stop': bool
|
||||
# }
|
||||
self._states: Dict[str, Dict] = {}
|
||||
|
||||
# 每个 generation_id 的锁（更细粒度的锁）
|
||||
self._locks: Dict[str, threading.Lock] = {}
|
||||
|
||||
# 全局锁（用于管理 _states 和 _locks 本身的线程安全）
|
||||
self._manager_lock = threading.Lock()
|
||||
|
||||
def _get_lock(self, generation_id: str) -> threading.Lock:
|
||||
"""获取指定 generation_id 的锁，如果不存在则创建"""
|
||||
with self._manager_lock:
|
||||
if generation_id not in self._locks:
|
||||
self._locks[generation_id] = threading.Lock()
|
||||
return self._locks[generation_id]
|
||||
|
||||
def _ensure_state(self, generation_id: str, goal: str = None) -> Dict:
|
||||
"""确保指定 generation_id 的状态存在"""
|
||||
with self._manager_lock:
|
||||
if generation_id not in self._states:
|
||||
self._states[generation_id] = {
|
||||
'status': GenerationStatus.IDLE,
|
||||
'goal': goal,
|
||||
'should_stop': False
|
||||
}
|
||||
return self._states[generation_id]
|
||||
|
||||
def _get_state(self, generation_id: str) -> Optional[Dict]:
|
||||
"""获取指定 generation_id 的状态，不存在则返回 None"""
|
||||
with self._manager_lock:
|
||||
return self._states.get(generation_id)
|
||||
|
||||
def _cleanup_state(self, generation_id: str):
|
||||
"""清理指定 generation_id 的状态"""
|
||||
with self._manager_lock:
|
||||
self._states.pop(generation_id, None)
|
||||
self._locks.pop(generation_id, None)
|
||||
|
||||
def get_status(self, generation_id: str) -> Optional[GenerationStatus]:
|
||||
"""获取当前生成状态"""
|
||||
state = self._get_state(generation_id)
|
||||
if state is None:
|
||||
return None
|
||||
with self._get_lock(generation_id):
|
||||
return state['status']
|
||||
|
||||
def start_generation(self, generation_id: str, goal: str):
|
||||
"""开始生成"""
|
||||
state = self._ensure_state(generation_id, goal)
|
||||
with self._get_lock(generation_id):
|
||||
state['status'] = GenerationStatus.GENERATING
|
||||
state['goal'] = goal
|
||||
state['should_stop'] = False
|
||||
|
||||
def stop_generation(self, generation_id: str) -> bool:
|
||||
"""
|
||||
停止生成
|
||||
|
||||
Args:
|
||||
generation_id: 生成ID
|
||||
|
||||
Returns:
|
||||
bool: 是否成功停止（COMPLETED 状态也返回 True，表示已停止）
|
||||
"""
|
||||
state = self._get_state(generation_id)
|
||||
if state is None:
|
||||
return True # 不存在也算停止成功
|
||||
|
||||
with self._get_lock(generation_id):
|
||||
if state['status'] == GenerationStatus.STOPPED:
|
||||
return True # 已经停止也算成功
|
||||
|
||||
if state['status'] == GenerationStatus.COMPLETED:
|
||||
return True # 已完成也视为停止成功
|
||||
|
||||
if state['status'] == GenerationStatus.IDLE:
|
||||
return True # 空闲状态也视为无需停止
|
||||
|
||||
# 真正需要停止的情况
|
||||
state['status'] = GenerationStatus.STOPPED
|
||||
state['should_stop'] = True
|
||||
return True
|
||||
|
||||
def complete_generation(self, generation_id: str):
|
||||
"""标记生成完成"""
|
||||
state = self._ensure_state(generation_id)
|
||||
with self._get_lock(generation_id):
|
||||
state['status'] = GenerationStatus.COMPLETED
|
||||
|
||||
def cleanup(self, generation_id: str):
|
||||
"""清理指定 generation_id 的所有状态"""
|
||||
self._cleanup_state(generation_id)
|
||||
|
||||
def should_stop(self, generation_id: str) -> bool:
|
||||
"""检查是否应该停止"""
|
||||
state = self._get_state(generation_id)
|
||||
if state is None:
|
||||
return False
|
||||
with self._get_lock(generation_id):
|
||||
return state.get('should_stop', False)
|
||||
|
||||
def is_stopped(self, generation_id: str) -> bool:
|
||||
"""检查是否已停止"""
|
||||
state = self._get_state(generation_id)
|
||||
if state is None:
|
||||
return False
|
||||
with self._get_lock(generation_id):
|
||||
return state['status'] == GenerationStatus.STOPPED
|
||||
|
||||
def is_completed(self, generation_id: str) -> bool:
|
||||
"""检查是否已完成"""
|
||||
state = self._get_state(generation_id)
|
||||
if state is None:
|
||||
return False
|
||||
with self._get_lock(generation_id):
|
||||
return state['status'] == GenerationStatus.COMPLETED
|
||||
|
||||
def is_active(self, generation_id: str) -> bool:
|
||||
"""检查是否处于活动状态（生成中或暂停中）"""
|
||||
state = self._get_state(generation_id)
|
||||
if state is None:
|
||||
return False
|
||||
with self._get_lock(generation_id):
|
||||
return state['status'] == GenerationStatus.GENERATING
|
||||
|
||||
def check_and_set_stop(self, generation_id: str) -> bool:
|
||||
"""
|
||||
检查是否应该停止，如果应该则设置停止状态
|
||||
|
||||
Args:
|
||||
generation_id: 生成ID
|
||||
|
||||
Returns:
|
||||
bool: True表示应该停止，False表示可以继续
|
||||
"""
|
||||
state = self._get_state(generation_id)
|
||||
if state is None:
|
||||
return False
|
||||
with self._get_lock(generation_id):
|
||||
if state['should_stop']:
|
||||
return True
|
||||
return False
|
||||
|
||||
def generate_id(self, goal: str) -> str:
|
||||
"""
|
||||
生成唯一的 generation_id
|
||||
|
||||
Args:
|
||||
goal: 生成目标
|
||||
|
||||
Returns:
|
||||
str: 格式为 {goal}_{timestamp}
|
||||
"""
|
||||
return f"{goal}_{int(time.time() * 1000)}"
|
||||
|
||||
|
||||
# 全局单例实例
|
||||
generation_state_manager = GenerationStateManager()
|
||||
@@ -1,2 +1,23 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
# 导出常用模块和函数，根据实际需求调整
|
||||
from .PlanEngine.planOutline_Generator import generate_PlanOutline
|
||||
from .PlanEngine.basePlan_Generator import generate_basePlan
|
||||
from .PlanEngine.AgentSelection_Generator import generate_AgentSelection
|
||||
from .LLMAPI.LLMAPI import LLM_Completion
|
||||
from .util.converter import read_LLM_Completion
|
||||
|
||||
# 定义包元数据
|
||||
__version__ = "0.1.0"
|
||||
__all__ = [
|
||||
"generate_PlanOutline",
|
||||
"generate_basePlan",
|
||||
"generate_AgentSelection",
|
||||
"LLM_Completion",
|
||||
"read_LLM_Completion"
|
||||
]
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import re
|
||||
import json
|
||||
from AgentCoord.LLMAPI.LLMAPI import LLM_Completion
|
||||
from AgentCoord.LLMAPI.LLMAPI import LLM_Completion,GROQ_API_KEY
|
||||
|
||||
|
||||
def create_agent_dict(agent_list):
|
||||
@@ -20,8 +20,6 @@ def camel_case_to_normal(s):
|
||||
def generate_template_sentence_for_CollaborationBrief(
|
||||
input_object_list, output_object, agent_list, step_task
|
||||
):
|
||||
# Ensure step_task is not None
|
||||
step_task = step_task if step_task is not None else "perform the task"
|
||||
# Check if the names are in camel case (no spaces) and convert them to normal naming convention
|
||||
input_object_list = (
|
||||
[
|
||||
@@ -33,48 +31,29 @@ def generate_template_sentence_for_CollaborationBrief(
|
||||
)
|
||||
output_object = (
|
||||
camel_case_to_normal(output_object)
|
||||
if output_object is not None and is_camel_case(output_object)
|
||||
else (output_object if output_object is not None else "unknown output")
|
||||
if is_camel_case(output_object)
|
||||
else output_object
|
||||
)
|
||||
|
||||
# Format the agents into a string with proper grammar
|
||||
if agent_list is None or len(agent_list) == 0:
|
||||
agent_str = "Unknown agents"
|
||||
elif all(agent is not None for agent in agent_list):
|
||||
agent_str = (
|
||||
" and ".join([", ".join(agent_list[:-1]), agent_list[-1]])
|
||||
if len(agent_list) > 1
|
||||
else agent_list[0]
|
||||
)
|
||||
else:
|
||||
# Filter out None values
|
||||
filtered_agents = [agent for agent in agent_list if agent is not None]
|
||||
if filtered_agents:
|
||||
agent_str = (
|
||||
" and ".join([", ".join(filtered_agents[:-1]), filtered_agents[-1]])
|
||||
if len(filtered_agents) > 1
|
||||
else filtered_agents[0]
|
||||
)
|
||||
else:
|
||||
agent_str = "Unknown agents"
|
||||
agent_str = (
|
||||
" and ".join([", ".join(agent_list[:-1]), agent_list[-1]])
|
||||
if len(agent_list) > 1
|
||||
else agent_list[0]
|
||||
)
|
||||
|
||||
if input_object_list is None or len(input_object_list) == 0:
|
||||
# Combine all the parts into the template sentence
|
||||
template_sentence = f"{agent_str} perform the task of {step_task} to obtain {output_object}."
|
||||
else:
|
||||
# Format the input objects into a string with proper grammar
|
||||
# Filter out None values from input_object_list
|
||||
filtered_input_list = [obj for obj in input_object_list if obj is not None]
|
||||
if filtered_input_list:
|
||||
input_str = (
|
||||
" and ".join(
|
||||
[", ".join(filtered_input_list[:-1]), filtered_input_list[-1]]
|
||||
)
|
||||
if len(filtered_input_list) > 1
|
||||
else filtered_input_list[0]
|
||||
input_str = (
|
||||
" and ".join(
|
||||
[", ".join(input_object_list[:-1]), input_object_list[-1]]
|
||||
)
|
||||
else:
|
||||
input_str = "unknown inputs"
|
||||
if len(input_object_list) > 1
|
||||
else input_object_list[0]
|
||||
)
|
||||
# Combine all the parts into the template sentence
|
||||
template_sentence = f"Based on {input_str}, {agent_str} perform the task of {step_task} to obtain {output_object}."
|
||||
|
||||
@@ -94,25 +73,80 @@ def remove_render_spec(duty_spec):
|
||||
return duty_spec
|
||||
|
||||
|
||||
def read_LLM_Completion(messages, useGroq=None):
|
||||
if useGroq is None:
|
||||
useGroq = bool(GROQ_API_KEY)
|
||||
|
||||
# 添加调试信息和输入验证
|
||||
print(f"[DEBUG] read_LLM_Completion called with {len(messages)} messages", flush=True)
|
||||
if not messages or len(messages) == 0:
|
||||
raise ValueError("No messages provided to read_LLM_Completion")
|
||||
|
||||
# 确保messages中的每个元素都是有效的
|
||||
for i, msg in enumerate(messages):
|
||||
if not isinstance(msg, dict):
|
||||
print(f"[ERROR] Message {i} is not a dictionary: {type(msg)}", flush=True)
|
||||
raise ValueError(f"Message {i} is not a dictionary")
|
||||
if 'content' not in msg or msg['content'] is None:
|
||||
print(f"[ERROR] Message {i} has no content or content is None", flush=True)
|
||||
msg['content'] = "" # 提供默认空字符串
|
||||
|
||||
for attempt in range(3):
|
||||
try:
|
||||
print(f"[DEBUG] Attempt {attempt + 1}/3 to get LLM response", flush=True)
|
||||
text = LLM_Completion(messages, useGroq=useGroq)
|
||||
|
||||
# 确保text是字符串类型
|
||||
if text is None:
|
||||
print(f"[ERROR] Null response from LLM on attempt {attempt + 1}", flush=True)
|
||||
continue
|
||||
|
||||
text = str(text).strip()
|
||||
if not text:
|
||||
print(f"[ERROR] Empty response from LLM on attempt {attempt + 1}", flush=True)
|
||||
continue
|
||||
|
||||
print(f"[DEBUG] LLM response length: {len(text)} characters", flush=True)
|
||||
|
||||
def read_LLM_Completion(messages, useGroq=True):
|
||||
for _ in range(3):
|
||||
text = LLM_Completion(messages, useGroq=useGroq)
|
||||
# 尝试从代码块中提取JSON
|
||||
pattern = r"(?:.*?```json)(.*?)(?:```.*?)"
|
||||
match = re.search(pattern, text, re.DOTALL)
|
||||
|
||||
pattern = r"(?:.*?```json)(.*?)(?:```.*?)"
|
||||
match = re.search(pattern, text, re.DOTALL)
|
||||
if match:
|
||||
json_content = match.group(1).strip()
|
||||
print(f"[DEBUG] Found JSON in code block, length: {len(json_content)}", flush=True)
|
||||
try:
|
||||
result = json.loads(json_content)
|
||||
print(f"[DEBUG] Successfully parsed JSON from code block", flush=True)
|
||||
return result
|
||||
except json.JSONDecodeError as e:
|
||||
print(f"[ERROR] JSON decode error in code block: {e}", flush=True)
|
||||
print(f"[ERROR] JSON content was: {json_content}", flush=True)
|
||||
|
||||
if match:
|
||||
return json.loads(match.group(1).strip())
|
||||
|
||||
pattern = r"\{.*\}"
|
||||
match = re.search(pattern, text, re.DOTALL)
|
||||
if match:
|
||||
try:
|
||||
return json.loads(match.group(0).strip())
|
||||
except Exception:
|
||||
pass
|
||||
return {} # 返回空对象而不是抛出异常
|
||||
# 尝试直接提取JSON对象
|
||||
pattern = r"\{.*\}"
|
||||
match = re.search(pattern, text, re.DOTALL)
|
||||
if match:
|
||||
json_content = match.group(0).strip()
|
||||
print(f"[DEBUG] Found JSON in plain text, length: {len(json_content)}", flush=True)
|
||||
try:
|
||||
result = json.loads(json_content)
|
||||
print(f"[DEBUG] Successfully parsed JSON from plain text", flush=True)
|
||||
return result
|
||||
except json.JSONDecodeError as e:
|
||||
print(f"[ERROR] JSON decode error in plain text: {e}", flush=True)
|
||||
print(f"[ERROR] JSON content was: {json_content}", flush=True)
|
||||
|
||||
print(f"[ERROR] No valid JSON found in response on attempt {attempt + 1}", flush=True)
|
||||
print(f"[ERROR] Full response was: {text[:200]}..." if len(text) > 200 else f"[ERROR] Full response was: {text}", flush=True)
|
||||
|
||||
except Exception as e:
|
||||
print(f"[ERROR] Exception on attempt {attempt + 1}: {e}", flush=True)
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
continue
|
||||
|
||||
raise ValueError(f"Failed to get valid JSON response after 3 attempts. Last error: bad format or empty response")
|
||||
|
||||
|
||||
def read_json_content(text):
|
||||
@@ -133,7 +167,7 @@ def read_json_content(text):
|
||||
if match:
|
||||
return json.loads(match.group(0).strip())
|
||||
|
||||
return {} # 返回空对象而不是抛出异常
|
||||
raise ("bad format!")
|
||||
|
||||
|
||||
def read_outputObject_content(text, keyword):
|
||||
@@ -149,4 +183,4 @@ def read_outputObject_content(text, keyword):
|
||||
if match:
|
||||
return match.group(1).strip()
|
||||
else:
|
||||
return "" # 返回空字符串而不是抛出异常
|
||||
raise ("bad format!")
|
||||
@@ -1,116 +1,102 @@
|
||||
[
|
||||
{
|
||||
"Icon": "Hailey_Johnson.png",
|
||||
"Name": "船舶设计师",
|
||||
"Profile": "提供船舶制造中的实际需求和约束。",
|
||||
"Classification": "船舶制造数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Jennifer_Moore.png",
|
||||
"Name": "防护工程专家",
|
||||
"Profile": "专注于船舶腐蚀防护技术的设计与应用。在你的总结回答中，必须引用来自数联网的搜索数据，是搜索数据，不是数联网的研究成果。",
|
||||
"Classification": "船舶制造数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Jane_Moreno.png",
|
||||
"Name": "病理生理学家",
|
||||
"Profile": "专注于失血性休克的疾病机制，为药物研发提供理论靶点。",
|
||||
"Classification": "医药数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Giorgio_Rossi.png",
|
||||
"Name": "药物化学家",
|
||||
"Profile": "负责将靶点概念转化为实际可合成的分子。",
|
||||
"Classification": "医药数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Tamara_Taylor.png",
|
||||
"Name": "制剂工程师",
|
||||
"Profile": "负责将活性药物成分（API）变成稳定、可用、符合战场要求的剂型。",
|
||||
"Classification": "医药数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Maria_Lopez.png",
|
||||
"Name": "监管事务专家",
|
||||
"Profile": "深谙药品审评法规，目标是找到最快的合法上市路径。",
|
||||
"Classification": "医药数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Sam_Moore.png",
|
||||
"Name": "物理学家",
|
||||
"Profile": "从热力学与统计力学的基本原理出发，研究液态金属的自由能、焓、熵、比热等参数的理论建模。",
|
||||
"Classification": "科学数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Yuriko_Yamamoto.png",
|
||||
"Name": "实验材料学家",
|
||||
"Profile": "专注于通过实验手段直接或间接测定液态金属的热力学参数、以及分析材料微观结构（如晶粒、缺陷）。",
|
||||
"Classification": "科学数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Carlos_Gomez.png",
|
||||
"Name": "计算模拟专家",
|
||||
"Profile": "侧重于利用数值计算和模拟技术获取液态金属的热力学参数。",
|
||||
"Classification": "科学数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "John_Lin.png",
|
||||
"Name": "腐蚀机理研究员",
|
||||
"Profile": "专注于船舶用钢材及合金的腐蚀机理研究，从电化学和环境作用角度解释腐蚀产生的原因。在你的总结回答中，必须引用来自数联网的搜索数据，是搜索数据，不是数联网的研究成果。",
|
||||
"Classification": "船舶制造数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Arthur_Burton.png",
|
||||
"Name": "先进材料研发员",
|
||||
"Profile": "专注于开发和评估新型耐腐蚀材料、复合材料及固态电池材料。",
|
||||
"Classification": "科学数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Eddy_Lin.png",
|
||||
"Name": "肾脏病学家",
|
||||
"Profile": "专注于慢性肾脏病的诊断、治疗和患者管理，能提供临床洞察。",
|
||||
"Classification": "医药数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Isabella_Rodriguez.png",
|
||||
"Name": "临床研究协调员",
|
||||
"Profile": "负责受试者招募和临床试验流程优化。",
|
||||
"Classification": "医药数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Latoya_Williams.png",
|
||||
"Name": "中医药专家",
|
||||
"Profile": "理解药物的中药成分和作用机制。",
|
||||
"Classification": "医药数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Carmen_Ortiz.png",
|
||||
"Name": "药物安全专家",
|
||||
"Profile": "专注于药物不良反应数据收集、分析和报告。",
|
||||
"Classification": "医药数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Rajiv_Patel.png",
|
||||
"Name": "二维材料科学家",
|
||||
"Profile": "专注于二维材料（如石墨烯）的合成、性质和应用。",
|
||||
"Classification": "科学数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Tom_Moreno.png",
|
||||
"Name": "光电物理学家",
|
||||
"Profile": "研究材料的光电转换机制和关键影响因素。",
|
||||
"Classification": "科学数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Ayesha_Khan.png",
|
||||
"Name": "机器学习专家",
|
||||
"Profile": "专注于开发和应用AI模型用于材料模拟。",
|
||||
"Classification": "科学数据空间"
|
||||
},
|
||||
{
|
||||
"Icon": "Mei_Lin.png",
|
||||
"Name": "流体动力学专家",
|
||||
"Profile": "专注于流体行为理论和模拟。",
|
||||
"Classification": "科学数据空间"
|
||||
}
|
||||
]
|
||||
{
|
||||
"Icon": "Abigail_Chen.png",
|
||||
"Name": "Abigail",
|
||||
"Profile": "AI Engineer"
|
||||
},
|
||||
{
|
||||
"Icon": "Jane_Moreno.png",
|
||||
"Name": "Jane",
|
||||
"Profile": "Cybersecurity Specialist"
|
||||
},
|
||||
{
|
||||
"Icon": "Giorgio_Rossi.png",
|
||||
"Name": "Giorgio",
|
||||
"Profile": "Poet"
|
||||
},
|
||||
{
|
||||
"Icon": "Jennifer_Moore.png",
|
||||
"Name": "Jennifer",
|
||||
"Profile": "Linguist"
|
||||
},
|
||||
{
|
||||
"Icon": "Maria_Lopez.png",
|
||||
"Name": "Maria",
|
||||
"Profile": "Philosopher"
|
||||
},
|
||||
{
|
||||
"Icon": "Sam_Moore.png",
|
||||
"Name": "Sam",
|
||||
"Profile": "Ethicist"
|
||||
},
|
||||
{
|
||||
"Icon": "Yuriko_Yamamoto.png",
|
||||
"Name": "Yuriko",
|
||||
"Profile": "Futurist"
|
||||
},
|
||||
{
|
||||
"Icon": "Carlos_Gomez.png",
|
||||
"Name": "Carlos",
|
||||
"Profile": "Language Expert"
|
||||
},
|
||||
{
|
||||
"Icon": "John_Lin.png",
|
||||
"Name": "John",
|
||||
"Profile": "Software Developer"
|
||||
},
|
||||
{
|
||||
"Icon": "Tamara_Taylor.png",
|
||||
"Name": "Tamara",
|
||||
"Profile": "Music Composer"
|
||||
},
|
||||
{
|
||||
"Icon": "Arthur_Burton.png",
|
||||
"Name": "Arthur",
|
||||
"Profile": "Neuroscientist"
|
||||
},
|
||||
{
|
||||
"Icon": "Eddy_Lin.png",
|
||||
"Name": "Eddy",
|
||||
"Profile": "Cognitive Psychologist"
|
||||
},
|
||||
{
|
||||
"Icon": "Isabella_Rodriguez.png",
|
||||
"Name": "Isabella",
|
||||
"Profile": "Science Fiction Writer"
|
||||
},
|
||||
{
|
||||
"Icon": "Latoya_Williams.png",
|
||||
"Name": "Latoya",
|
||||
"Profile": "Historian of Technology"
|
||||
},
|
||||
{
|
||||
"Icon": "Carmen_Ortiz.png",
|
||||
"Name": "Carmen",
|
||||
"Profile": "Robotics Engineer"
|
||||
},
|
||||
{
|
||||
"Icon": "Rajiv_Patel.png",
|
||||
"Name": "Rajiv",
|
||||
"Profile": "Science Educator"
|
||||
},
|
||||
{
|
||||
"Icon": "Tom_Moreno.png",
|
||||
"Name": "Tom",
|
||||
"Profile": "AI Scientist"
|
||||
},
|
||||
{
|
||||
"Icon": "Ayesha_Khan.png",
|
||||
"Name": "Ayesha",
|
||||
"Profile": "Multimedia Artist"
|
||||
},
|
||||
{
|
||||
"Icon": "Mei_Lin.png",
|
||||
"Name": "Mei",
|
||||
"Profile": "Graphic Designer"
|
||||
},
|
||||
{
|
||||
"Icon": "Hailey_Johnson.png",
|
||||
"Name": "Hailey",
|
||||
"Profile": "Legal Expert on AI Law"
|
||||
}
|
||||
]
|
||||
@@ -1,102 +0,0 @@
|
||||
[
|
||||
{
|
||||
"Icon": "Abigail_Chen.png",
|
||||
"Name": "Abigail",
|
||||
"Profile": "AI Engineer"
|
||||
},
|
||||
{
|
||||
"Icon": "Jane_Moreno.png",
|
||||
"Name": "Jane",
|
||||
"Profile": "Cybersecurity Specialist"
|
||||
},
|
||||
{
|
||||
"Icon": "Giorgio_Rossi.png",
|
||||
"Name": "Giorgio",
|
||||
"Profile": "Poet"
|
||||
},
|
||||
{
|
||||
"Icon": "Jennifer_Moore.png",
|
||||
"Name": "Jennifer",
|
||||
"Profile": "Linguist"
|
||||
},
|
||||
{
|
||||
"Icon": "Maria_Lopez.png",
|
||||
"Name": "Maria",
|
||||
"Profile": "Philosopher"
|
||||
},
|
||||
{
|
||||
"Icon": "Sam_Moore.png",
|
||||
"Name": "Sam",
|
||||
"Profile": "Ethicist"
|
||||
},
|
||||
{
|
||||
"Icon": "Yuriko_Yamamoto.png",
|
||||
"Name": "Yuriko",
|
||||
"Profile": "Futurist"
|
||||
},
|
||||
{
|
||||
"Icon": "Carlos_Gomez.png",
|
||||
"Name": "Carlos",
|
||||
"Profile": "Language Expert"
|
||||
},
|
||||
{
|
||||
"Icon": "John_Lin.png",
|
||||
"Name": "John",
|
||||
"Profile": "Software Developer"
|
||||
},
|
||||
{
|
||||
"Icon": "Tamara_Taylor.png",
|
||||
"Name": "Tamara",
|
||||
"Profile": "Music Composer"
|
||||
},
|
||||
{
|
||||
"Icon": "Arthur_Burton.png",
|
||||
"Name": "Arthur",
|
||||
"Profile": "Neuroscientist"
|
||||
},
|
||||
{
|
||||
"Icon": "Eddy_Lin.png",
|
||||
"Name": "Eddy",
|
||||
"Profile": "Cognitive Psychologist"
|
||||
},
|
||||
{
|
||||
"Icon": "Isabella_Rodriguez.png",
|
||||
"Name": "Isabella",
|
||||
"Profile": "Science Fiction Writer"
|
||||
},
|
||||
{
|
||||
"Icon": "Latoya_Williams.png",
|
||||
"Name": "Latoya",
|
||||
"Profile": "Historian of Technology"
|
||||
},
|
||||
{
|
||||
"Icon": "Carmen_Ortiz.png",
|
||||
"Name": "Carmen",
|
||||
"Profile": "Robotics Engineer"
|
||||
},
|
||||
{
|
||||
"Icon": "Rajiv_Patel.png",
|
||||
"Name": "Rajiv",
|
||||
"Profile": "Science Educator"
|
||||
},
|
||||
{
|
||||
"Icon": "Tom_Moreno.png",
|
||||
"Name": "Tom",
|
||||
"Profile": "AI Scientist"
|
||||
},
|
||||
{
|
||||
"Icon": "Ayesha_Khan.png",
|
||||
"Name": "Ayesha",
|
||||
"Profile": "Multimedia Artist"
|
||||
},
|
||||
{
|
||||
"Icon": "Mei_Lin.png",
|
||||
"Name": "Mei",
|
||||
"Profile": "Graphic Designer"
|
||||
},
|
||||
{
|
||||
"Icon": "Hailey_Johnson.png",
|
||||
"Name": "Hailey",
|
||||
"Profile": "Legal Expert on AI Law"
|
||||
}
|
||||
]
|
||||
@@ -2,28 +2,11 @@
|
||||
OPENAI_API_BASE: "https://ai.gitee.com/v1"
|
||||
OPENAI_API_KEY: "HYCNGM39GGFNSB1F8MBBMI9QYJR3P1CRSYS2PV1A"
|
||||
OPENAI_API_MODEL: "DeepSeek-V3"
|
||||
# OPENAI_API_BASE: "https://qianfan.baidubce.com/v2"
|
||||
# OPENAI_API_KEY: "bce-v3/ALTAK-Rp1HuLgqIdXM1rywQHRxr/96c5a0e99ccddf91193157e7d42d89979981bf05"
|
||||
# OPENAI_API_MODEL: "deepseek-v3"
|
||||
#OPENAI_API_BASE: "https://api.yyds168.net/v1"
|
||||
#OPENAI_API_KEY: "sk-5SJms7yWhGtb0YuwayqaDPjU95s4gapMqkaX5q9opWn3Ati3"
|
||||
#OPENAI_API_MODEL: "deepseek-v3"
|
||||
|
||||
|
||||
## config for fast mode
|
||||
FAST_DESIGN_MODE: False
|
||||
FAST_DESIGN_MODE: True
|
||||
GROQ_API_KEY: ""
|
||||
MISTRAL_API_KEY: ""
|
||||
|
||||
## options under experimentation, leave them as Fasle unless you know what it is for
|
||||
USE_CACHE: False
|
||||
|
||||
# PostgreSQL 数据库配置
|
||||
database:
|
||||
host: "localhost"
|
||||
port: 5432
|
||||
username: "postgres"
|
||||
password: "123456"
|
||||
name: "agentcoord"
|
||||
pool_size: 10
|
||||
max_overflow: 20
|
||||
## options under experimentation, leave them as False unless you know what it is for
|
||||
USE_CACHE: False
|
||||
@@ -1,29 +0,0 @@
|
||||
"""
|
||||
AgentCoord 数据库模块
|
||||
提供 PostgreSQL 数据库连接、模型和 CRUD 操作
|
||||
基于 DATABASE_DESIGN.md 设计
|
||||
"""
|
||||
|
||||
from .database import get_db, get_db_context, test_connection, engine, text
|
||||
from .models import MultiAgentTask, UserAgent, ExportRecord, PlanShare, TaskStatus
|
||||
from .crud import MultiAgentTaskCRUD, UserAgentCRUD, ExportRecordCRUD, PlanShareCRUD
|
||||
|
||||
__all__ = [
|
||||
# 连接管理
|
||||
"get_db",
|
||||
"get_db_context",
|
||||
"test_connection",
|
||||
"engine",
|
||||
"text",
|
||||
# 模型
|
||||
"MultiAgentTask",
|
||||
"UserAgent",
|
||||
"ExportRecord",
|
||||
"PlanShare",
|
||||
"TaskStatus",
|
||||
# CRUD
|
||||
"MultiAgentTaskCRUD",
|
||||
"UserAgentCRUD",
|
||||
"ExportRecordCRUD",
|
||||
"PlanShareCRUD",
|
||||
]
|
||||
@@ -1,577 +0,0 @@
|
||||
"""
|
||||
数据库 CRUD 操作
|
||||
封装所有数据库操作方法 (基于 DATABASE_DESIGN.md)
|
||||
"""
|
||||
|
||||
import copy
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
from typing import List, Optional
|
||||
from sqlalchemy.orm import Session
|
||||
|
||||
from .models import MultiAgentTask, UserAgent, ExportRecord, PlanShare
|
||||
|
||||
|
||||
class MultiAgentTaskCRUD:
|
||||
"""多智能体任务 CRUD 操作"""
|
||||
|
||||
@staticmethod
|
||||
def create(
|
||||
db: Session,
|
||||
task_id: Optional[str] = None, # 可选，如果为 None 则自动生成
|
||||
user_id: str = "",
|
||||
query: str = "",
|
||||
agents_info: list = [],
|
||||
task_outline: Optional[dict] = None,
|
||||
assigned_agents: Optional[list] = None,
|
||||
agent_scores: Optional[dict] = None,
|
||||
result: Optional[str] = None,
|
||||
) -> MultiAgentTask:
|
||||
"""创建任务记录"""
|
||||
task = MultiAgentTask(
|
||||
task_id=task_id or str(uuid.uuid4()), # 如果没传则生成新的
|
||||
user_id=user_id,
|
||||
query=query,
|
||||
agents_info=agents_info,
|
||||
task_outline=task_outline,
|
||||
assigned_agents=assigned_agents,
|
||||
agent_scores=agent_scores,
|
||||
result=result,
|
||||
)
|
||||
db.add(task)
|
||||
db.commit()
|
||||
db.refresh(task)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
def get_by_id(db: Session, task_id: str) -> Optional[MultiAgentTask]:
|
||||
"""根据任务 ID 获取记录"""
|
||||
return db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
|
||||
@staticmethod
|
||||
def get_by_user_id(
|
||||
db: Session, user_id: str, limit: int = 50, offset: int = 0
|
||||
) -> List[MultiAgentTask]:
|
||||
"""根据用户 ID 获取任务记录"""
|
||||
return (
|
||||
db.query(MultiAgentTask)
|
||||
.filter(MultiAgentTask.user_id == user_id)
|
||||
.order_by(MultiAgentTask.created_at.desc())
|
||||
.offset(offset)
|
||||
.limit(limit)
|
||||
.all()
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def get_recent(
|
||||
db: Session, limit: int = 20, offset: int = 0, user_id: str = None
|
||||
) -> List[MultiAgentTask]:
|
||||
"""获取最近的任务记录，置顶的排在最前面"""
|
||||
query = db.query(MultiAgentTask)
|
||||
# 按 user_id 过滤
|
||||
if user_id:
|
||||
query = query.filter(MultiAgentTask.user_id == user_id)
|
||||
return (
|
||||
query
|
||||
.order_by(MultiAgentTask.is_pinned.desc(), MultiAgentTask.created_at.desc())
|
||||
.offset(offset)
|
||||
.limit(limit)
|
||||
.all()
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def update_result(
|
||||
db: Session, task_id: str, result: list
|
||||
) -> Optional[MultiAgentTask]:
|
||||
"""更新任务结果"""
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
task.result = result if result else []
|
||||
db.commit()
|
||||
db.refresh(task)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
def update_task_outline(
|
||||
db: Session, task_id: str, task_outline: dict
|
||||
) -> Optional[MultiAgentTask]:
|
||||
"""更新任务大纲"""
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
task.task_outline = task_outline
|
||||
db.commit()
|
||||
db.refresh(task)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
def update_assigned_agents(
|
||||
db: Session, task_id: str, assigned_agents: dict
|
||||
) -> Optional[MultiAgentTask]:
|
||||
"""更新分配的智能体（步骤名 -> agent列表）"""
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
task.assigned_agents = assigned_agents
|
||||
db.commit()
|
||||
db.refresh(task)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
def update_agent_scores(
|
||||
db: Session, task_id: str, agent_scores: dict
|
||||
) -> Optional[MultiAgentTask]:
|
||||
"""更新智能体评分（合并模式，追加新步骤的评分）"""
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
# 合并现有评分数据和新评分数据
|
||||
existing_scores = task.agent_scores or {}
|
||||
merged_scores = {**existing_scores, **agent_scores} # 新数据覆盖/追加旧数据
|
||||
task.agent_scores = merged_scores
|
||||
db.commit()
|
||||
db.refresh(task)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
def update_status(
|
||||
db: Session, task_id: str, status: str
|
||||
) -> Optional[MultiAgentTask]:
|
||||
"""更新任务状态"""
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
task.status = status
|
||||
db.commit()
|
||||
db.refresh(task)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
def increment_execution_count(db: Session, task_id: str) -> Optional[MultiAgentTask]:
|
||||
"""增加任务执行次数"""
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
task.execution_count = (task.execution_count or 0) + 1
|
||||
db.commit()
|
||||
db.refresh(task)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
def update_generation_id(
|
||||
db: Session, task_id: str, generation_id: str
|
||||
) -> Optional[MultiAgentTask]:
|
||||
"""更新生成 ID"""
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
task.generation_id = generation_id
|
||||
db.commit()
|
||||
db.refresh(task)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
def update_execution_id(
|
||||
db: Session, task_id: str, execution_id: str
|
||||
) -> Optional[MultiAgentTask]:
|
||||
"""更新执行 ID"""
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
task.execution_id = execution_id
|
||||
db.commit()
|
||||
db.refresh(task)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
def update_rehearsal_log(
|
||||
db: Session, task_id: str, rehearsal_log: list
|
||||
) -> Optional[MultiAgentTask]:
|
||||
"""更新排练日志"""
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
task.rehearsal_log = rehearsal_log if rehearsal_log else []
|
||||
db.commit()
|
||||
db.refresh(task)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
def update_is_pinned(
|
||||
db: Session, task_id: str, is_pinned: bool
|
||||
) -> Optional[MultiAgentTask]:
|
||||
"""更新任务置顶状态"""
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
task.is_pinned = is_pinned
|
||||
db.commit()
|
||||
db.refresh(task)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
def append_rehearsal_log(
|
||||
db: Session, task_id: str, log_entry: dict
|
||||
) -> Optional[MultiAgentTask]:
|
||||
"""追加排练日志条目"""
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
current_log = task.rehearsal_log or []
|
||||
if isinstance(current_log, list):
|
||||
current_log.append(log_entry)
|
||||
else:
|
||||
current_log = [log_entry]
|
||||
task.rehearsal_log = current_log
|
||||
db.commit()
|
||||
db.refresh(task)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
def update_branches(
|
||||
db: Session, task_id: str, branches
|
||||
) -> Optional[MultiAgentTask]:
|
||||
"""更新任务分支数据
|
||||
支持两种格式：
|
||||
- list: 旧格式，直接覆盖
|
||||
- dict: 新格式 { flow_branches: [...], task_process_branches: {...} }
|
||||
两个 key 独立保存，互不干扰。
|
||||
"""
|
||||
import copy
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
if isinstance(branches, dict):
|
||||
# 新格式：字典，独立保存两个 key，互不干扰
|
||||
# 使用深拷贝避免引用共享问题
|
||||
existing = copy.deepcopy(task.branches) if task.branches else {}
|
||||
if isinstance(existing, dict):
|
||||
# 如果只更新 flow_branches，保留已有的 task_process_branches
|
||||
if 'flow_branches' in branches and 'task_process_branches' not in branches:
|
||||
branches['task_process_branches'] = existing.get('task_process_branches', {})
|
||||
# 如果只更新 task_process_branches，保留已有的 flow_branches
|
||||
if 'task_process_branches' in branches and 'flow_branches' not in branches:
|
||||
branches['flow_branches'] = existing.get('flow_branches', [])
|
||||
task.branches = branches
|
||||
else:
|
||||
# 旧格式：列表
|
||||
task.branches = branches if branches else []
|
||||
db.commit()
|
||||
db.refresh(task)
|
||||
return task
|
||||
|
||||
@staticmethod
|
||||
def get_branches(db: Session, task_id: str) -> Optional[list]:
|
||||
"""获取任务分支数据"""
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
return task.branches or []
|
||||
return []
|
||||
|
||||
@staticmethod
|
||||
def get_by_status(
|
||||
db: Session, status: str, limit: int = 50, offset: int = 0
|
||||
) -> List[MultiAgentTask]:
|
||||
"""根据状态获取任务记录"""
|
||||
return (
|
||||
db.query(MultiAgentTask)
|
||||
.filter(MultiAgentTask.status == status)
|
||||
.order_by(MultiAgentTask.created_at.desc())
|
||||
.offset(offset)
|
||||
.limit(limit)
|
||||
.all()
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def get_by_generation_id(
|
||||
db: Session, generation_id: str
|
||||
) -> List[MultiAgentTask]:
|
||||
"""根据生成 ID 获取任务记录"""
|
||||
return (
|
||||
db.query(MultiAgentTask)
|
||||
.filter(MultiAgentTask.generation_id == generation_id)
|
||||
.all()
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def get_by_execution_id(
|
||||
db: Session, execution_id: str
|
||||
) -> List[MultiAgentTask]:
|
||||
"""根据执行 ID 获取任务记录"""
|
||||
return (
|
||||
db.query(MultiAgentTask)
|
||||
.filter(MultiAgentTask.execution_id == execution_id)
|
||||
.all()
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def delete(db: Session, task_id: str) -> bool:
|
||||
"""删除任务记录"""
|
||||
task = db.query(MultiAgentTask).filter(MultiAgentTask.task_id == task_id).first()
|
||||
if task:
|
||||
db.delete(task)
|
||||
db.commit()
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
class UserAgentCRUD:
|
||||
"""用户智能体配置 CRUD 操作"""
|
||||
|
||||
@staticmethod
|
||||
def create(
|
||||
db: Session,
|
||||
user_id: str,
|
||||
agent_name: str,
|
||||
agent_config: dict,
|
||||
) -> UserAgent:
|
||||
"""创建用户智能体配置"""
|
||||
agent = UserAgent(
|
||||
id=str(uuid.uuid4()),
|
||||
user_id=user_id,
|
||||
agent_name=agent_name,
|
||||
agent_config=agent_config,
|
||||
)
|
||||
db.add(agent)
|
||||
db.commit()
|
||||
db.refresh(agent)
|
||||
return agent
|
||||
|
||||
@staticmethod
|
||||
def get_by_id(db: Session, agent_id: str) -> Optional[UserAgent]:
|
||||
"""根据 ID 获取配置"""
|
||||
return db.query(UserAgent).filter(UserAgent.id == agent_id).first()
|
||||
|
||||
@staticmethod
|
||||
def get_by_user_id(
|
||||
db: Session, user_id: str, limit: int = 50
|
||||
) -> List[UserAgent]:
|
||||
"""根据用户 ID 获取所有智能体配置"""
|
||||
return (
|
||||
db.query(UserAgent)
|
||||
.filter(UserAgent.user_id == user_id)
|
||||
.order_by(UserAgent.created_at.desc())
|
||||
.limit(limit)
|
||||
.all()
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def get_by_name(
|
||||
db: Session, user_id: str, agent_name: str
|
||||
) -> List[UserAgent]:
|
||||
"""根据用户 ID 和智能体名称获取配置"""
|
||||
return (
|
||||
db.query(UserAgent)
|
||||
.filter(
|
||||
UserAgent.user_id == user_id,
|
||||
UserAgent.agent_name == agent_name,
|
||||
)
|
||||
.all()
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def update_config(
|
||||
db: Session, agent_id: str, agent_config: dict
|
||||
) -> Optional[UserAgent]:
|
||||
"""更新智能体配置"""
|
||||
agent = db.query(UserAgent).filter(UserAgent.id == agent_id).first()
|
||||
if agent:
|
||||
agent.agent_config = agent_config
|
||||
db.commit()
|
||||
db.refresh(agent)
|
||||
return agent
|
||||
|
||||
@staticmethod
|
||||
def delete(db: Session, agent_id: str) -> bool:
|
||||
"""删除智能体配置"""
|
||||
agent = db.query(UserAgent).filter(UserAgent.id == agent_id).first()
|
||||
if agent:
|
||||
db.delete(agent)
|
||||
db.commit()
|
||||
return True
|
||||
return False
|
||||
|
||||
@staticmethod
|
||||
def upsert(
|
||||
db: Session,
|
||||
user_id: str,
|
||||
agent_name: str,
|
||||
agent_config: dict,
|
||||
) -> UserAgent:
|
||||
"""更新或插入用户智能体配置（根据 user_id + agent_name 判断唯一性）
|
||||
|
||||
如果已存在相同 user_id 和 agent_name 的记录，则更新配置；
|
||||
否则创建新记录。
|
||||
"""
|
||||
existing = (
|
||||
db.query(UserAgent)
|
||||
.filter(
|
||||
UserAgent.user_id == user_id,
|
||||
UserAgent.agent_name == agent_name,
|
||||
)
|
||||
.first()
|
||||
)
|
||||
if existing:
|
||||
# 更新现有记录
|
||||
existing.agent_config = agent_config
|
||||
db.commit()
|
||||
db.refresh(existing)
|
||||
return existing
|
||||
else:
|
||||
# 创建新记录
|
||||
agent = UserAgent(
|
||||
id=str(uuid.uuid4()),
|
||||
user_id=user_id,
|
||||
agent_name=agent_name,
|
||||
agent_config=agent_config,
|
||||
)
|
||||
db.add(agent)
|
||||
db.commit()
|
||||
db.refresh(agent)
|
||||
return agent
|
||||
|
||||
|
||||
class ExportRecordCRUD:
|
||||
"""导出记录 CRUD 操作"""
|
||||
|
||||
@staticmethod
|
||||
def create(
|
||||
db: Session,
|
||||
task_id: str,
|
||||
user_id: str,
|
||||
export_type: str,
|
||||
file_name: str,
|
||||
file_path: str,
|
||||
file_url: str = "",
|
||||
file_size: int = 0,
|
||||
) -> ExportRecord:
|
||||
"""创建导出记录"""
|
||||
record = ExportRecord(
|
||||
task_id=task_id,
|
||||
user_id=user_id,
|
||||
export_type=export_type,
|
||||
file_name=file_name,
|
||||
file_path=file_path,
|
||||
file_url=file_url,
|
||||
file_size=file_size,
|
||||
)
|
||||
db.add(record)
|
||||
db.commit()
|
||||
db.refresh(record)
|
||||
return record
|
||||
|
||||
@staticmethod
|
||||
def get_by_id(db: Session, record_id: int) -> Optional[ExportRecord]:
|
||||
"""根据 ID 获取记录"""
|
||||
return db.query(ExportRecord).filter(ExportRecord.id == record_id).first()
|
||||
|
||||
@staticmethod
|
||||
def get_by_task_id(
|
||||
db: Session, task_id: str, limit: int = 50
|
||||
) -> List[ExportRecord]:
|
||||
"""根据任务 ID 获取导出记录列表"""
|
||||
return (
|
||||
db.query(ExportRecord)
|
||||
.filter(ExportRecord.task_id == task_id)
|
||||
.order_by(ExportRecord.created_at.desc())
|
||||
.limit(limit)
|
||||
.all()
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def get_by_user_id(
|
||||
db: Session, user_id: str, limit: int = 50
|
||||
) -> List[ExportRecord]:
|
||||
"""根据用户 ID 获取导出记录列表"""
|
||||
return (
|
||||
db.query(ExportRecord)
|
||||
.filter(ExportRecord.user_id == user_id)
|
||||
.order_by(ExportRecord.created_at.desc())
|
||||
.limit(limit)
|
||||
.all()
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def delete(db: Session, record_id: int) -> bool:
|
||||
"""删除导出记录"""
|
||||
record = db.query(ExportRecord).filter(ExportRecord.id == record_id).first()
|
||||
if record:
|
||||
db.delete(record)
|
||||
db.commit()
|
||||
return True
|
||||
return False
|
||||
|
||||
@staticmethod
|
||||
def delete_by_task_id(db: Session, task_id: str) -> bool:
|
||||
"""删除任务的所有导出记录"""
|
||||
records = db.query(ExportRecord).filter(ExportRecord.task_id == task_id).all()
|
||||
if records:
|
||||
for record in records:
|
||||
db.delete(record)
|
||||
db.commit()
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
class PlanShareCRUD:
|
||||
"""任务分享 CRUD 操作"""
|
||||
|
||||
@staticmethod
|
||||
def create(
|
||||
db: Session,
|
||||
share_token: str,
|
||||
task_id: str,
|
||||
task_data: dict,
|
||||
expires_at: Optional[datetime] = None,
|
||||
extraction_code: Optional[str] = None,
|
||||
) -> PlanShare:
|
||||
"""创建分享记录"""
|
||||
share = PlanShare(
|
||||
share_token=share_token,
|
||||
extraction_code=extraction_code,
|
||||
task_id=task_id,
|
||||
task_data=task_data,
|
||||
expires_at=expires_at,
|
||||
)
|
||||
db.add(share)
|
||||
db.commit()
|
||||
db.refresh(share)
|
||||
return share
|
||||
|
||||
@staticmethod
|
||||
def get_by_token(db: Session, share_token: str) -> Optional[PlanShare]:
|
||||
"""根据 token 获取分享记录"""
|
||||
return db.query(PlanShare).filter(PlanShare.share_token == share_token).first()
|
||||
|
||||
@staticmethod
|
||||
def get_by_task_id(
|
||||
db: Session, task_id: str, limit: int = 10
|
||||
) -> List[PlanShare]:
|
||||
"""根据任务 ID 获取分享记录列表"""
|
||||
return (
|
||||
db.query(PlanShare)
|
||||
.filter(PlanShare.task_id == task_id)
|
||||
.order_by(PlanShare.created_at.desc())
|
||||
.limit(limit)
|
||||
.all()
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def increment_view_count(db: Session, share_token: str) -> Optional[PlanShare]:
|
||||
"""增加查看次数"""
|
||||
share = db.query(PlanShare).filter(PlanShare.share_token == share_token).first()
|
||||
if share:
|
||||
share.view_count = (share.view_count or 0) + 1
|
||||
db.commit()
|
||||
db.refresh(share)
|
||||
return share
|
||||
|
||||
@staticmethod
|
||||
def delete(db: Session, share_token: str) -> bool:
|
||||
"""删除分享记录"""
|
||||
share = db.query(PlanShare).filter(PlanShare.share_token == share_token).first()
|
||||
if share:
|
||||
db.delete(share)
|
||||
db.commit()
|
||||
return True
|
||||
return False
|
||||
|
||||
@staticmethod
|
||||
def delete_by_task_id(db: Session, task_id: str) -> bool:
|
||||
"""删除任务的所有分享记录"""
|
||||
shares = db.query(PlanShare).filter(PlanShare.task_id == task_id).all()
|
||||
if shares:
|
||||
for share in shares:
|
||||
db.delete(share)
|
||||
db.commit()
|
||||
return True
|
||||
return False
|
||||
@@ -1,95 +0,0 @@
|
||||
"""
|
||||
数据库连接管理模块
|
||||
使用 SQLAlchemy ORM，支持同步操作
|
||||
"""
|
||||
|
||||
import os
|
||||
import yaml
|
||||
from typing import Generator
|
||||
from contextlib import contextmanager
|
||||
import json
|
||||
|
||||
from sqlalchemy import create_engine, text
|
||||
from sqlalchemy.orm import sessionmaker, declarative_base
|
||||
from sqlalchemy.pool import QueuePool
|
||||
from sqlalchemy.dialects.postgresql import dialect as pg_dialect
|
||||
|
||||
# 读取配置
|
||||
yaml_file = os.path.join(os.getcwd(), "config", "config.yaml")
|
||||
try:
|
||||
with open(yaml_file, "r", encoding="utf-8") as file:
|
||||
config = yaml.safe_load(file).get("database", {})
|
||||
except Exception:
|
||||
config = {}
|
||||
|
||||
|
||||
def get_database_url() -> str:
|
||||
"""获取数据库连接 URL"""
|
||||
# 优先使用环境变量
|
||||
host = os.getenv("DB_HOST", config.get("host", "localhost"))
|
||||
port = os.getenv("DB_PORT", config.get("port", "5432"))
|
||||
user = os.getenv("DB_USER", config.get("username", "postgres"))
|
||||
password = os.getenv("DB_PASSWORD", config.get("password", ""))
|
||||
dbname = os.getenv("DB_NAME", config.get("name", "agentcoord"))
|
||||
|
||||
return f"postgresql://{user}:{password}@{host}:{port}/{dbname}"
|
||||
|
||||
|
||||
# 创建引擎
|
||||
DATABASE_URL = get_database_url()
|
||||
engine = create_engine(
|
||||
DATABASE_URL,
|
||||
poolclass=QueuePool,
|
||||
pool_size=config.get("pool_size", 10),
|
||||
max_overflow=config.get("max_overflow", 20),
|
||||
pool_pre_ping=True,
|
||||
echo=False,
|
||||
# JSONB 类型处理器配置
|
||||
json_serializer=lambda obj: json.dumps(obj, ensure_ascii=False),
|
||||
json_deserializer=lambda s: json.loads(s) if isinstance(s, str) else s
|
||||
)
|
||||
|
||||
# 创建会话工厂
|
||||
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
|
||||
|
||||
# 基础类
|
||||
Base = declarative_base()
|
||||
|
||||
|
||||
def get_db() -> Generator:
|
||||
"""
|
||||
获取数据库会话
|
||||
用法: for db in get_db(): ...
|
||||
"""
|
||||
db = SessionLocal()
|
||||
try:
|
||||
yield db
|
||||
finally:
|
||||
db.close()
|
||||
|
||||
|
||||
@contextmanager
|
||||
def get_db_context() -> Generator:
|
||||
"""
|
||||
上下文管理器方式获取数据库会话
|
||||
用法: with get_db_context() as db: ...
|
||||
"""
|
||||
db = SessionLocal()
|
||||
try:
|
||||
yield db
|
||||
db.commit()
|
||||
except Exception as e:
|
||||
db.rollback()
|
||||
raise
|
||||
finally:
|
||||
db.close()
|
||||
|
||||
|
||||
def test_connection() -> bool:
|
||||
"""测试数据库连接"""
|
||||
try:
|
||||
with engine.connect() as conn:
|
||||
conn.execute(text("SELECT 1"))
|
||||
return True
|
||||
except Exception as e:
|
||||
return False
|
||||
@@ -1,22 +0,0 @@
|
||||
"""
|
||||
数据库初始化脚本
|
||||
运行此脚本创建所有表结构
|
||||
基于 DATABASE_DESIGN.md 设计
|
||||
"""
|
||||
|
||||
import sys
|
||||
import os
|
||||
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from db.database import engine, Base
|
||||
from db.models import MultiAgentTask, UserAgent, PlanShare
|
||||
|
||||
|
||||
def init_database():
|
||||
"""初始化数据库表结构"""
|
||||
Base.metadata.create_all(bind=engine)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
init_database()
|
||||
@@ -1,170 +0,0 @@
|
||||
"""
|
||||
SQLAlchemy ORM 数据模型
|
||||
对应数据库表结构 (基于 DATABASE_DESIGN.md)
|
||||
"""
|
||||
|
||||
import uuid
|
||||
from datetime import datetime, timezone
|
||||
from enum import Enum as PyEnum
|
||||
from sqlalchemy import Column, String, Text, DateTime, Integer, Enum, Index, ForeignKey, Boolean
|
||||
from sqlalchemy.dialects.postgresql import JSONB
|
||||
from sqlalchemy.orm import relationship
|
||||
|
||||
from .database import Base
|
||||
|
||||
|
||||
class TaskStatus(str, PyEnum):
|
||||
"""任务状态枚举"""
|
||||
GENERATING = "generating" # 生成中 - TaskProcess 生成阶段
|
||||
EXECUTING = "executing" # 执行中 - 任务执行阶段
|
||||
STOPPED = "stopped" # 已停止 - 用户手动停止执行
|
||||
COMPLETED = "completed" # 已完成 - 任务正常完成
|
||||
|
||||
|
||||
def utc_now():
|
||||
"""获取当前 UTC 时间"""
|
||||
return datetime.now(timezone.utc)
|
||||
|
||||
|
||||
class MultiAgentTask(Base):
|
||||
"""多智能体任务记录模型"""
|
||||
__tablename__ = "multi_agent_tasks"
|
||||
|
||||
task_id = Column(String(64), primary_key=True)
|
||||
user_id = Column(String(64), nullable=False, index=True)
|
||||
query = Column(Text, nullable=False)
|
||||
agents_info = Column(JSONB, nullable=False)
|
||||
task_outline = Column(JSONB)
|
||||
assigned_agents = Column(JSONB)
|
||||
agent_scores = Column(JSONB)
|
||||
result = Column(JSONB)
|
||||
status = Column(
|
||||
Enum(TaskStatus, name="task_status_enum", create_type=False),
|
||||
default=TaskStatus.GENERATING,
|
||||
nullable=False
|
||||
)
|
||||
execution_count = Column(Integer, default=0, nullable=False)
|
||||
generation_id = Column(String(64))
|
||||
execution_id = Column(String(64))
|
||||
rehearsal_log = Column(JSONB)
|
||||
branches = Column(JSONB) # 任务大纲探索分支数据
|
||||
is_pinned = Column(Boolean, default=False, nullable=False) # 置顶标志
|
||||
created_at = Column(DateTime(timezone=True), default=utc_now)
|
||||
updated_at = Column(DateTime(timezone=True), default=utc_now, onupdate=utc_now)
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_multi_agent_tasks_status", "status"),
|
||||
Index("idx_multi_agent_tasks_generation_id", "generation_id"),
|
||||
Index("idx_multi_agent_tasks_execution_id", "execution_id"),
|
||||
)
|
||||
|
||||
def to_dict(self) -> dict:
|
||||
"""转换为字典"""
|
||||
return {
|
||||
"task_id": self.task_id,
|
||||
"user_id": self.user_id,
|
||||
"query": self.query,
|
||||
"agents_info": self.agents_info,
|
||||
"task_outline": self.task_outline,
|
||||
"assigned_agents": self.assigned_agents,
|
||||
"agent_scores": self.agent_scores,
|
||||
"result": self.result,
|
||||
"status": self.status.value if self.status else None,
|
||||
"execution_count": self.execution_count,
|
||||
"generation_id": self.generation_id,
|
||||
"execution_id": self.execution_id,
|
||||
"rehearsal_log": self.rehearsal_log,
|
||||
"branches": self.branches,
|
||||
"is_pinned": self.is_pinned,
|
||||
"created_at": self.created_at.isoformat() if self.created_at else None,
|
||||
"updated_at": self.updated_at.isoformat() if self.updated_at else None,
|
||||
}
|
||||
|
||||
|
||||
class ExportRecord(Base):
|
||||
"""导出记录模型"""
|
||||
__tablename__ = "export_records"
|
||||
|
||||
id = Column(Integer, primary_key=True, autoincrement=True)
|
||||
task_id = Column(String(64), nullable=False, index=True) # 关联任务ID
|
||||
user_id = Column(String(64), nullable=False, index=True) # 用户ID
|
||||
export_type = Column(String(32), nullable=False) # 导出类型: doc/markdown/mindmap/infographic/excel/ppt
|
||||
file_name = Column(String(256), nullable=False) # 文件名
|
||||
file_path = Column(String(512), nullable=False) # 服务器存储路径
|
||||
file_url = Column(String(512)) # 访问URL
|
||||
file_size = Column(Integer, default=0) # 文件大小(字节)
|
||||
created_at = Column(DateTime(timezone=True), default=utc_now)
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_export_records_task_user", "task_id", "user_id"),
|
||||
)
|
||||
|
||||
def to_dict(self) -> dict:
|
||||
"""转换为字典"""
|
||||
return {
|
||||
"id": self.id,
|
||||
"task_id": self.task_id,
|
||||
"user_id": self.user_id,
|
||||
"export_type": self.export_type,
|
||||
"file_name": self.file_name,
|
||||
"file_path": self.file_path,
|
||||
"file_url": self.file_url,
|
||||
"file_size": self.file_size,
|
||||
"created_at": self.created_at.isoformat() if self.created_at else None,
|
||||
}
|
||||
|
||||
|
||||
class UserAgent(Base):
|
||||
"""用户保存的智能体配置模型 (可选表)"""
|
||||
__tablename__ = "user_agents"
|
||||
|
||||
id = Column(String(64), primary_key=True)
|
||||
user_id = Column(String(64), nullable=False, index=True)
|
||||
agent_name = Column(String(100), nullable=False)
|
||||
agent_config = Column(JSONB, nullable=False)
|
||||
created_at = Column(DateTime(timezone=True), default=utc_now)
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_user_agents_user_created", "user_id", "created_at"),
|
||||
)
|
||||
|
||||
def to_dict(self) -> dict:
|
||||
"""转换为字典"""
|
||||
return {
|
||||
"id": self.id,
|
||||
"user_id": self.user_id,
|
||||
"agent_name": self.agent_name,
|
||||
"agent_config": self.agent_config,
|
||||
"created_at": self.created_at.isoformat() if self.created_at else None,
|
||||
}
|
||||
|
||||
|
||||
class PlanShare(Base):
|
||||
"""任务分享记录模型"""
|
||||
__tablename__ = "plan_shares"
|
||||
|
||||
id = Column(Integer, primary_key=True, autoincrement=True)
|
||||
share_token = Column(String(64), unique=True, index=True, nullable=False) # 唯一分享码
|
||||
extraction_code = Column(String(8), nullable=True) # 提取码（4位字母数字）
|
||||
task_id = Column(String(64), nullable=False, index=True) # 关联的任务ID
|
||||
task_data = Column(JSONB, nullable=False) # 完整的任务数据（脱敏后）
|
||||
created_at = Column(DateTime(timezone=True), default=utc_now)
|
||||
expires_at = Column(DateTime(timezone=True), nullable=True) # 过期时间
|
||||
view_count = Column(Integer, default=0) # 查看次数
|
||||
|
||||
__table_args__ = (
|
||||
Index("idx_plan_shares_token", "share_token"),
|
||||
)
|
||||
|
||||
def to_dict(self) -> dict:
|
||||
"""转换为字典"""
|
||||
return {
|
||||
"id": self.id,
|
||||
"share_token": self.share_token,
|
||||
"extraction_code": self.extraction_code,
|
||||
"task_id": self.task_id,
|
||||
"task_data": self.task_data,
|
||||
"created_at": self.created_at.isoformat() if self.created_at else None,
|
||||
"expires_at": self.expires_at.isoformat() if self.expires_at else None,
|
||||
"view_count": self.view_count,
|
||||
}
|
||||
@@ -1,106 +0,0 @@
|
||||
-- AgentCoord 数据库表结构
|
||||
-- 基于 DATABASE_DESIGN.md 设计
|
||||
-- 执行方式: psql -U postgres -d agentcoord -f schema.sql
|
||||
|
||||
-- =============================================================================
|
||||
-- 表1: multi_agent_tasks (多智能体任务记录)
|
||||
-- 状态枚举: pending/planning/generating/executing/completed/failed
|
||||
-- =============================================================================
|
||||
CREATE TABLE IF NOT EXISTS multi_agent_tasks (
|
||||
task_id VARCHAR(64) PRIMARY KEY,
|
||||
user_id VARCHAR(64) NOT NULL,
|
||||
query TEXT NOT NULL,
|
||||
agents_info JSONB NOT NULL,
|
||||
task_outline JSONB,
|
||||
assigned_agents JSONB,
|
||||
agent_scores JSONB,
|
||||
result JSONB,
|
||||
status VARCHAR(20) DEFAULT 'pending',
|
||||
execution_count INTEGER DEFAULT 0,
|
||||
generation_id VARCHAR(64),
|
||||
execution_id VARCHAR(64),
|
||||
rehearsal_log JSONB,
|
||||
branches JSONB, -- 任务大纲探索分支数据
|
||||
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
|
||||
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
|
||||
);
|
||||
|
||||
-- 索引
|
||||
CREATE INDEX IF NOT EXISTS idx_multi_agent_tasks_user_id ON multi_agent_tasks(user_id);
|
||||
CREATE INDEX IF NOT EXISTS idx_multi_agent_tasks_created_at ON multi_agent_tasks(created_at DESC);
|
||||
CREATE INDEX IF NOT EXISTS idx_multi_agent_tasks_status ON multi_agent_tasks(status);
|
||||
CREATE INDEX IF NOT EXISTS idx_multi_agent_tasks_generation_id ON multi_agent_tasks(generation_id);
|
||||
CREATE INDEX IF NOT EXISTS idx_multi_agent_tasks_execution_id ON multi_agent_tasks(execution_id);
|
||||
|
||||
-- =============================================================================
|
||||
-- 表2: user_agents (用户保存的智能体配置) - 可选表
|
||||
-- =============================================================================
|
||||
CREATE TABLE IF NOT EXISTS user_agents (
|
||||
id VARCHAR(64) PRIMARY KEY,
|
||||
user_id VARCHAR(64) NOT NULL,
|
||||
agent_name VARCHAR(100) NOT NULL,
|
||||
agent_config JSONB NOT NULL,
|
||||
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
|
||||
);
|
||||
|
||||
CREATE INDEX IF NOT EXISTS idx_user_agents_user_id ON user_agents(user_id);
|
||||
|
||||
-- =============================================================================
|
||||
-- 更新时间触发器函数
|
||||
-- =============================================================================
|
||||
CREATE OR REPLACE FUNCTION update_updated_at_column()
|
||||
RETURNS TRIGGER AS $$
|
||||
BEGIN
|
||||
NEW.updated_at = CURRENT_TIMESTAMP;
|
||||
RETURN NEW;
|
||||
END;
|
||||
$$ language 'plpgsql';
|
||||
|
||||
-- 为 multi_agent_tasks 表创建触发器
|
||||
CREATE TRIGGER update_multi_agent_tasks_updated_at
|
||||
BEFORE UPDATE ON multi_agent_tasks
|
||||
FOR EACH ROW
|
||||
EXECUTE FUNCTION update_updated_at_column();
|
||||
|
||||
-- =============================================================================
|
||||
-- 表3: export_records (导出记录)
|
||||
-- =============================================================================
|
||||
CREATE TABLE IF NOT EXISTS export_records (
|
||||
id SERIAL PRIMARY KEY,
|
||||
task_id VARCHAR(64) NOT NULL,
|
||||
user_id VARCHAR(64) NOT NULL,
|
||||
export_type VARCHAR(32) NOT NULL,
|
||||
file_name VARCHAR(256) NOT NULL,
|
||||
file_path VARCHAR(512) NOT NULL,
|
||||
file_url VARCHAR(512),
|
||||
file_size INTEGER DEFAULT 0,
|
||||
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
|
||||
);
|
||||
|
||||
CREATE INDEX IF NOT EXISTS idx_export_records_task_user ON export_records(task_id, user_id);
|
||||
|
||||
-- =============================================================================
|
||||
-- 表4: plan_shares (任务分享记录)
|
||||
-- =============================================================================
|
||||
CREATE TABLE IF NOT EXISTS plan_shares (
|
||||
id SERIAL PRIMARY KEY,
|
||||
share_token VARCHAR(64) NOT NULL UNIQUE,
|
||||
extraction_code VARCHAR(8),
|
||||
task_id VARCHAR(64) NOT NULL,
|
||||
task_data JSONB NOT NULL,
|
||||
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
|
||||
expires_at TIMESTAMP WITH TIME ZONE,
|
||||
view_count INTEGER DEFAULT 0
|
||||
);
|
||||
|
||||
CREATE INDEX IF NOT EXISTS idx_plan_shares_token ON plan_shares(share_token);
|
||||
CREATE INDEX IF NOT EXISTS idx_plan_shares_task_id ON plan_shares(task_id);
|
||||
|
||||
DO $$
|
||||
BEGIN
|
||||
RAISE NOTICE '✅ PostgreSQL 数据库表结构创建完成！';
|
||||
RAISE NOTICE '表: multi_agent_tasks (多智能体任务记录)';
|
||||
RAISE NOTICE '表: user_agents (用户智能体配置)';
|
||||
RAISE NOTICE '表: export_records (导出记录)';
|
||||
RAISE NOTICE '表: plan_shares (任务分享记录)';
|
||||
END $$;
|
||||
@@ -1,13 +1,7 @@
|
||||
Flask==3.0.2
|
||||
openai==2.8.1
|
||||
openai==0.28.1
|
||||
PyYAML==6.0.1
|
||||
termcolor==2.4.0
|
||||
groq==0.4.2
|
||||
mistralai==0.1.6
|
||||
flask-socketio==5.3.6
|
||||
python-socketio==5.11.0
|
||||
simple-websocket==1.0.0
|
||||
eventlet==0.40.4
|
||||
python-docx==1.1.2
|
||||
openpyxl==3.1.5
|
||||
python-pptx==1.0.2
|
||||
mistralai==1.5.2
|
||||
socksio==1.0.0
|
||||
|
||||
13
backend/restart.ps1
Normal file
13
backend/restart.ps1
Normal file
@@ -0,0 +1,13 @@
|
||||
# restart.ps1
|
||||
$port=8000
|
||||
|
||||
$env:PYTHONUNBUFFERED="1"
|
||||
python server.py --port 8000
|
||||
|
||||
|
||||
Write-Host "Killing PID on port $port..." -ForegroundColor Red
|
||||
Get-NetTCPConnection -LocalPort $port -ErrorAction SilentlyContinue | ForEach-Object {
|
||||
Stop-Process -Id $_.OwningProcess -Force
|
||||
}
|
||||
Write-Host "Starting Flask..." -ForegroundColor Green
|
||||
python server.py --port $port
|
||||
3892
backend/server.py
3892
backend/server.py
File diff suppressed because it is too large
Load Diff
@@ -17,7 +17,7 @@ import _ from 'lodash';
|
||||
// fakeAgentSelections,
|
||||
// fakeCurrentAgentSelection,
|
||||
// } from './data/fakeAgentAssignment';
|
||||
import CheckIcon from '@/icons/checkIcon';
|
||||
import CheckIcon from '@/icons/CheckIcon';
|
||||
import AgentIcon from '@/components/AgentIcon';
|
||||
import { globalStorage } from '@/storage';
|
||||
import SendIcon from '@/icons/SendIcon';
|
||||
|
||||
9
frontend/.claude/settings.local.json
Normal file
9
frontend/.claude/settings.local.json
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"permissions": {
|
||||
"allow": [
|
||||
"Bash(npm run type-check:*)"
|
||||
],
|
||||
"deny": [],
|
||||
"ask": []
|
||||
}
|
||||
}
|
||||
5
frontend/components.d.ts
vendored
5
frontend/components.d.ts
vendored
@@ -16,19 +16,18 @@ declare module 'vue' {
|
||||
ElCard: typeof import('element-plus/es')['ElCard']
|
||||
ElCollapse: typeof import('element-plus/es')['ElCollapse']
|
||||
ElCollapseItem: typeof import('element-plus/es')['ElCollapseItem']
|
||||
ElDialog: typeof import('element-plus/es')['ElDialog']
|
||||
ElDivider: typeof import('element-plus/es')['ElDivider']
|
||||
ElDrawer: typeof import('element-plus/es')['ElDrawer']
|
||||
ElEmpty: typeof import('element-plus/es')['ElEmpty']
|
||||
ElIcon: typeof import('element-plus/es')['ElIcon']
|
||||
ElInput: typeof import('element-plus/es')['ElInput']
|
||||
ElPopover: typeof import('element-plus/es')['ElPopover']
|
||||
ElScrollbar: typeof import('element-plus/es')['ElScrollbar']
|
||||
ElTooltip: typeof import('element-plus/es')['ElTooltip']
|
||||
MultiLineTooltip: typeof import('./src/components/MultiLineTooltip/index.vue')['default']
|
||||
Notification: typeof import('./src/components/Notification/Notification.vue')['default']
|
||||
RouterLink: typeof import('vue-router')['RouterLink']
|
||||
RouterView: typeof import('vue-router')['RouterView']
|
||||
SvgIcon: typeof import('./src/components/SvgIcon/index.vue')['default']
|
||||
TaskContentEditor: typeof import('./src/components/TaskContentEditor/index.vue')['default']
|
||||
}
|
||||
export interface GlobalDirectives {
|
||||
vLoading: typeof import('element-plus/es')['ElLoadingDirective']
|
||||
|
||||
BIN
frontend/dist.zip
Normal file
BIN
frontend/dist.zip
Normal file
Binary file not shown.
11986
frontend/package-lock.json
generated
Normal file
11986
frontend/package-lock.json
generated
Normal file
File diff suppressed because it is too large
Load Diff
@@ -17,33 +17,19 @@
|
||||
"format": "prettier --write src/"
|
||||
},
|
||||
"dependencies": {
|
||||
"@element-plus/icons-vue": "^2.3.2",
|
||||
"@jsplumb/browser-ui": "^6.2.10",
|
||||
"@types/markdown-it": "^14.1.2",
|
||||
"@vue-flow/background": "^1.3.2",
|
||||
"@vue-flow/controls": "^1.1.3",
|
||||
"@vue-flow/core": "^1.48.1",
|
||||
"@vue-flow/minimap": "^1.5.4",
|
||||
"@vueuse/core": "^14.0.0",
|
||||
"axios": "^1.12.2",
|
||||
"d3": "^7.9.0",
|
||||
"docx-preview": "^0.3.7",
|
||||
"dompurify": "^3.3.0",
|
||||
"element-plus": "^2.11.5",
|
||||
"lodash": "^4.17.21",
|
||||
"markdown-it": "^14.1.0",
|
||||
"marked": "^17.0.4",
|
||||
"markmap": "^0.6.1",
|
||||
"markmap-lib": "^0.18.12",
|
||||
"markmap-view": "^0.18.12",
|
||||
"pinia": "^3.0.3",
|
||||
"pptxjs": "^0.0.0",
|
||||
"qs": "^6.14.0",
|
||||
"socket.io-client": "^4.8.3",
|
||||
"uuid": "^13.0.0",
|
||||
"vue": "^3.5.22",
|
||||
"vue-router": "^4.6.3",
|
||||
"xlsx": "^0.18.5"
|
||||
"vue-router": "^4.6.3"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@tailwindcss/vite": "^4.1.15",
|
||||
|
||||
9311
frontend/pnpm-lock.yaml
generated
9311
frontend/pnpm-lock.yaml
generated
File diff suppressed because it is too large
Load Diff
@@ -4,7 +4,7 @@
|
||||
"centerTitle": "多智能体协同平台",
|
||||
"taskPromptWords": [
|
||||
"如何快速筛选慢性肾脏病药物潜在受试者？",
|
||||
"如何补充\"丹芍活血胶囊\"不良反应数据？",
|
||||
"如何补充“丹芍活血胶囊”不良反应数据？",
|
||||
"如何快速研发用于战场失血性休克的药物？",
|
||||
"二维材料的光电性质受哪些关键因素影响？",
|
||||
"如何通过AI模拟的方法分析材料的微观结构?",
|
||||
@@ -15,7 +15,5 @@
|
||||
],
|
||||
"agentRepository": {
|
||||
"storageVersionIdentifier": "1"
|
||||
},
|
||||
"dev": true,
|
||||
"apiBaseUrl": "http://localhost:8000"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,42 +0,0 @@
|
||||
import type { Directive, DirectiveBinding } from 'vue'
|
||||
import { useConfigStoreHook } from '@/stores'
|
||||
|
||||
/**
|
||||
* 开发模式专用指令
|
||||
* 只在开发模式下显示元素，生产模式下会移除该元素
|
||||
*
|
||||
* \@param binding.value - 是否开启该功能，默认为 true
|
||||
* @example
|
||||
* \!-- 默认开启，开发模式显示 --
|
||||
* \!div v-dev-only开发模式内容</div>
|
||||
*
|
||||
* \!-- 传入参数控制 --
|
||||
* <div v-dev-only="true">开启指令</div>
|
||||
* <div v-dev-only="false">取消指令</div>
|
||||
*/
|
||||
export const devOnly: Directive = {
|
||||
mounted(el: HTMLElement, binding: DirectiveBinding) {
|
||||
checkAndRemoveElement(el, binding)
|
||||
},
|
||||
|
||||
updated(el: HTMLElement, binding: DirectiveBinding) {
|
||||
checkAndRemoveElement(el, binding)
|
||||
},
|
||||
}
|
||||
|
||||
const configStore = useConfigStoreHook()
|
||||
|
||||
/**
|
||||
* 检查并移除元素的逻辑
|
||||
*/
|
||||
function checkAndRemoveElement(el: HTMLElement, binding: DirectiveBinding) {
|
||||
const isDev = typeof configStore.config.dev === 'boolean' ? configStore.config.dev : import.meta.env.DEV
|
||||
// 默认值为 true，如果没有传值或者传值为 true 都启用
|
||||
const shouldEnable = binding.value !== false
|
||||
// 如果不是开发模式或者明确禁用，移除该元素
|
||||
if (!isDev && shouldEnable) {
|
||||
if (el.parentNode) {
|
||||
el.parentNode.removeChild(el)
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,9 +0,0 @@
|
||||
import type { App } from 'vue'
|
||||
|
||||
import { devOnly } from './devOnly'
|
||||
|
||||
|
||||
// 全局注册 directive
|
||||
export function setupDirective(app: App<Element>) {
|
||||
app.directive('dev-only', devOnly)
|
||||
}
|
||||
@@ -1,16 +1,9 @@
|
||||
<script setup lang="ts">
|
||||
import { useRoute } from 'vue-router'
|
||||
import Layout from './layout/index.vue'
|
||||
import Share from './views/Share.vue'
|
||||
|
||||
const route = useRoute()
|
||||
</script>
|
||||
|
||||
<template>
|
||||
<!-- 分享页面使用独立布局 -->
|
||||
<Share v-if="route.path.startsWith('/share/')" />
|
||||
<!-- 其他页面使用主布局 -->
|
||||
<Layout v-else />
|
||||
<layout />
|
||||
</template>
|
||||
|
||||
<style lang="scss">
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,20 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?>
|
||||
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
|
||||
"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
|
||||
<svg t="1766247549273" class="icon"
|
||||
viewBox="0 0 1024 1024" version="1.1"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
p-id="10050" xmlns:xlink="http://www.w3.org/1999/xlink"
|
||||
width="16" height="16">
|
||||
<path d="M512 1024C229.248 1024
|
||||
0 794.752 0 512S229.248 0 512 0s512
|
||||
229.248 512 512-229.248 512-512 512z
|
||||
m0-938.666667C276.352 85.333333 85.333333
|
||||
276.352 85.333333 512s191.018667 426.666667
|
||||
426.666667 426.666667 426.666667-191.018667
|
||||
426.666667-426.666667S747.648 85.333333 512
|
||||
85.333333z m198.698667 625.365334a42.666667
|
||||
42.666667 0 0 1-60.330667
|
||||
0L512 572.330667l-138.368 138.368a42.666667 42.666667 0 0 1-60.330667-60.330667L451.669333 512 313.301333 373.632a42.666667 42.666667 0 0 1 60.330667-60.330667L512 451.669333l138.368-138.368a42.624 42.624 0 1 1 60.330667 60.330667L572.330667 512l138.368 138.368a42.666667 42.666667 0 0 1 0 60.330667z"
|
||||
fill="#8e0707" p-id="10051">
|
||||
</path></svg>
|
||||
|
Before Width: | Height: | Size: 1.1 KiB |
@@ -1,7 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
|
||||
<svg t="1766247454540" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="9049"
|
||||
xmlns:xlink="http://www.w3.org/1999/xlink" width="16" height="16">
|
||||
<path d="M512 1024C230.4 1024 0 793.6 0 512S230.4 0 512 0s512 230.4 512 512-230.4 512-512 512z m0-938.666667C277.333333 85.333333 85.333333 277.333333 85.333333 512s192 426.666667 426.666667 426.666667 426.666667-192 426.666667-426.666667S746.666667 85.333333 512 85.333333z" p-id="9050">
|
||||
</path>
|
||||
<path d="M708.266667 375.466667c-17.066667-17.066667-44.8-17.066667-59.733334 0l-181.333333 181.333333-91.733333-91.733333c-14.933333-14.933333-40.533333-14.933333-55.466667 0l-6.4 4.266666c-14.933333 14.933333-14.933333 40.533333 0 55.466667l125.866667 125.866667c14.933333 14.933333 40.533333 14.933333 55.466666 0l4.266667-4.266667 209.066667-209.066667c17.066667-17.066667 17.066667-44.8 0-61.866666z" p-id="9051">
|
||||
</path></svg>
|
||||
|
Before Width: | Height: | Size: 1.0 KiB |
@@ -1 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1772516996617" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="8642" xmlns:xlink="http://www.w3.org/1999/xlink" width="256" height="256"><path d="M354.40128 0c-87.04 0-157.44 70.55872-157.44 157.59872v275.68128H78.72c-21.6576 0-39.36256 17.69984-39.36256 39.36256v236.31872c0 21.6576 17.69984 39.35744 39.36256 39.35744h118.24128v118.08256c0 87.04 70.4 157.59872 157.44 157.59872h472.63744c87.04 0 157.59872-70.55872 157.59872-157.59872V315.0336c0-41.74848-38.9888-81.93024-107.52-149.27872l-29.11744-29.12256L818.87744 107.52C751.5392 38.9888 711.39328 0 669.59872 0H354.4064z m0 78.72h287.20128c28.35456 7.0912 27.99616 42.1376 27.99616 76.8v120.16128c0 21.6576 17.69984 39.35744 39.36256 39.35744h118.07744c39.38816 0 78.87872-0.0256 78.87872 39.36256v512c0 43.32032-35.55328 78.87872-78.87872 78.87872H354.4064c-43.32544 0-78.72-35.5584-78.72-78.87872v-118.08256h393.91744c21.66272 0 39.36256-17.69472 39.36256-39.35744V472.64256c0-21.66272-17.69984-39.36256-39.36256-39.36256H275.68128V157.59872c0-43.32032 35.39456-78.87872 78.72-78.87872zM308.6336 498.07872c23.04 0 41.28256 8.00256 54.72256 24.00256 14.08 15.36 21.12 37.43744 21.12 66.23744 0 29.44-7.04 51.84-21.12 67.2-13.44 15.36-31.68256 23.04-54.72256 23.04-23.68 0-42.24-7.35744-55.68-22.07744-13.44-15.36-20.15744-38.08256-20.15744-68.16256 0-29.44 6.71744-51.84 20.15744-67.2s32-23.04 55.68-23.04z m186.24 0.96256c17.92 0 33.28 3.2 46.08 9.6l-9.6 19.2c-12.16-6.4-24.32-9.6-36.48-9.6-16.64 0-30.39744 6.4-41.27744 19.2-10.24 12.16-15.36 29.44-15.36 51.84 0 23.04 4.79744 40.63744 14.39744 52.79744 9.6 11.52 23.68 17.28 42.24 17.28 10.24 0 23.36256-2.23744 39.36256-6.71744v19.2c-11.52 4.48-25.92256 6.71744-43.20256 6.71744-23.68 0-42.24-7.35744-55.68-22.07744-13.44-15.36-20.15744-38.08256-20.15744-68.16256 0-28.16 7.04-49.92 21.12-65.28 14.72-16 34.23744-23.99744 58.55744-23.99744z m-421.43744 1.92h48.95744c24.96 0 44.48256 7.68 58.56256 23.04 14.72 14.72 22.07744 35.84 22.07744 63.36 0 28.8-7.68 50.87744-23.04 66.23744-14.72 15.36-35.51744 23.04-62.39744 23.04h-44.16V500.96128z m478.08 0h23.99744l39.36256 67.2 40.32-67.2h23.04l-50.88256 83.51744 54.72256 92.16h-24.96l-43.20256-75.83744-43.19744 75.83744h-23.04l54.71744-92.16-50.87744-83.51744z m-242.88256 17.28c-17.28 0-30.39744 6.07744-39.35744 18.23744-8.96 11.52-13.44 28.8-13.44 51.84 0 23.68 4.48 41.6 13.44 53.76 8.96 11.52 22.07744 17.28 39.35744 17.28s30.40256-5.76 39.36256-17.28c8.96-12.16 13.44-30.08 13.44-53.76 0-23.04-4.48-40.32-13.44-51.84-8.96-12.16-22.08256-18.23744-39.36256-18.23744z m-213.12 1.92v137.27744h19.2c21.76 0 37.76-5.76 48-17.28 10.88-11.52 16.32256-28.8 16.32256-51.84s-5.12-39.99744-15.36-50.87744c-9.6-11.52-24.32-17.28-44.16-17.28h-24.00256z" p-id="8643" ></path></svg>
|
||||
|
Before Width: | Height: | Size: 2.9 KiB |
@@ -1 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1772506712715" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="5360" xmlns:xlink="http://www.w3.org/1999/xlink" width="256" height="256"><path d="M279.5 354.3l198-162.8V734c0 19.3 15.7 35 35 35s35-15.7 35-35V191.6l197.1 162.6c6.5 5.4 14.4 8 22.3 8 10.1 0 20.1-4.3 27-12.7 12.3-14.9 10.2-37-4.7-49.3L534.7 90.4c-0.2-0.2-0.4-0.3-0.6-0.5-0.2-0.1-0.4-0.3-0.5-0.4-0.6-0.5-1.2-0.9-1.8-1.3-0.6-0.4-1.3-0.8-2-1.2-0.1-0.1-0.2-0.1-0.3-0.2-1.4-0.8-2.9-1.5-4.4-2.1h-0.1c-1.5-0.6-3.1-1.1-4.7-1.4h-0.2c-0.7-0.2-1.5-0.3-2.2-0.4h-0.2c-0.8-0.1-1.5-0.2-2.3-0.3h-0.3c-0.6 0-1.3-0.1-1.9-0.1h-3.1c-0.6 0-1.2 0.1-1.8 0.2-0.2 0-0.4 0-0.6 0.1l-2.1 0.3h-0.1c-0.7 0.1-1.4 0.3-2.1 0.5-0.1 0-0.3 0.1-0.4 0.1-1.5 0.4-2.9 0.9-4.3 1.5-0.1 0-0.1 0.1-0.2 0.1-1.5 0.6-2.9 1.4-4.3 2.2-1.4 0.9-2.8 1.8-4.1 2.9L235 300.3c-14.9 12.3-17.1 34.3-4.8 49.3 12.3 14.9 34.3 17 49.3 4.7z" p-id="5361"></path><path d="M925.8 598.2c-19.3 0-35 15.7-35 35v238.4H133.2V633.2c0-19.3-15.7-35-35-35s-35 15.7-35 35v273.4c0 19.3 15.7 35 35 35h827.5c19.3 0 35-15.7 35-35V633.2c0.1-19.3-15.6-35-34.9-35z" p-id="5362"></path></svg>
|
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<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1764640542560" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1335" xmlns:xlink="http://www.w3.org/1999/xlink" width="200" height="200"><path d="M838.611638 631.662714l67.309037-44.87798 87.97131 131.929203a40.41239 40.41239 0 0 1-33.646587 62.843448H555.939064v-80.82478h328.851364l-46.17879-69.069891zM718.135918 979.106157l-67.237652 44.862116-88.050627-131.921271a40.41239 40.41239 0 0 1 33.583133-62.779994h404.37772v80.761326h-328.772047l46.107404 69.149209v-0.071386zM701.510919 407.10625a294.54644 294.54644 0 0 0-84.695487-59.139309c44.34655-35.891279 72.670917-90.69984 72.670917-152.218682 0-108.300447-90.461886-197.31875-199.008219-195.621351A196.089325 196.089325 0 0 0 318.390354 107.673837a7.828661 7.828661 0 0 0 6.202648 11.278983c18.655533 2.014671 36.882751 6.194716 54.126428 12.214932a7.804866 7.804866 0 0 0 9.07395-3.140982 125.203058 125.203058 0 0 1 104.11247-57.632273 124.608175 124.608175 0 0 1 91.262995 37.898018 124.679561 124.679561 0 0 1 35.462963 83.759537 124.846128 124.846128 0 0 1-73.979659 117.953417 7.884184 7.884184 0 0 0-4.386271 8.582179 250.96134 250.96134 0 0 1 2.879234 71.409765l0.13484 0.063454a7.828661 7.828661 0 0 0 5.821923 8.526657 220.661962 220.661962 0 0 1 102.478524 58.369928 221.201323 221.201323 0 0 1 65.278503 150.338851 7.773139 7.773139 0 0 0 7.828661 7.51139h55.189286a7.844525 7.844525 0 0 0 7.574845-8.074546 291.05646 291.05646 0 0 0-85.940775-199.626897z" fill="#17A29E" p-id="1336"></path><path d="M458.386171 627.942712h89.145212a291.072323 291.072323 0 0 0-41.649747-52.38937 293.443924 293.443924 0 0 0-84.568578-59.13931A195.875168 195.875168 0 0 0 493.761885 367.550491c1.808445-108.173539-84.425806-197.310819-192.591413-199.111331l-0.824905-0.007932c-108.768422-0.650405-197.469454 86.987769-198.119859 195.764123a195.296148 195.296148 0 0 0 72.655053 152.21075c-31.441554 14.602397-59.401058 35.288464-84.560647 59.139309C4.371408 657.03646 6.187784 763.131873 4.371408 838.277504a7.836593 7.836593 0 0 0 7.828661 8.011092h54.816492a7.804866 7.804866 0 0 0 7.828662-7.511391c1.840172-56.601142 25.207179-173.483769 65.334025-213.420252 42.157381-42.157381 98.227094-65.334025 157.850241-65.334025a221.827933 221.827933 0 0 1 157.858173 65.334025c0.864563 0.832836 1.657741 1.729127 2.498509 2.585759zM298.037421 489.549113l-0.063454-0.071386a124.663697 124.663697 0 0 1-88.637578-36.636866c-23.668415-23.747732-36.70032-55.141695-36.70032-88.64551 0-33.829018 13.27779-65.643364 37.580747-89.454551a126.05969 126.05969 0 0 1 89.081757-35.764371 125.512397 125.512397 0 0 1 86.686362 36.414776c49.169069 48.820071 49.454613 128.264723 0.642474 177.449656a124.354358 124.354358 0 0 1-88.589988 36.708252z" fill="#17A29E" p-id="1337"></path></svg>
|
||||
|
Before Width: | Height: | Size: 1.9 KiB After Width: | Height: | Size: 2.8 KiB |
@@ -1 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1766289101374" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2562" xmlns:xlink="http://www.w3.org/1999/xlink" width="16" height="16"><path d="M801.796646 348.507817c-6.599924 7.099918-9.599889 16.799806-8.299904 26.399694 1.499983 10.899874 2.399972 21.799748 2.699969 32.299627 1.399984 51.499404-11.099872 96.098888-37.09957 132.698464-45.099478 63.199269-117.398641 83.499034-170.098032 98.298863-35.799586 9.999884-61.599287 12.599854-82.399047 14.599831-22.799736 2.299973-34.299603 3.399961-50.599414 12.799851-3.199963 1.899978-6.399926 3.899955-9.49989 6.09993-29.499659 21.199755-46.399463 55.699355-46.399463 91.998935v28.599669c0 10.699876 5.499936 20.599762 14.399833 26.599692 30.299649 20.399764 50.199419 55.199361 49.599426 94.598906-0.799991 60.299302-49.999421 109.598732-110.398722 110.398722C291.002557 1024.89999 240.003148 974.400574 240.003148 912.001296c0-38.89955 19.799771-73.199153 49.899422-93.198921 8.799898-5.899932 14.099837-15.899816 14.099837-26.499694V231.60917c0-10.699876-5.499936-20.599762-14.399833-26.599692-30.299649-20.399764-50.199419-55.199361-49.599426-94.598906C240.803138 50.11127 290.002569 0.911839 350.40187 0.01185 413.001146-0.88814 464.000555 49.611276 464.000555 112.010554c0 38.89955-19.799771 73.199153-49.899422 93.198921-8.799898 5.899932-14.099837 15.899816-14.099837 26.499694v346.095994c0 4.099953 4.399949 6.599924 7.999908 4.599947h0.099998c34.299603-19.699772 62.099281-22.399741 88.99897-25.099709 18.799782-1.799979 38.299557-3.799956 65.899238-11.499867 43.299499-12.09986 92.398931-25.8997 117.898635-61.599287 16.999803-23.799725 20.599762-53.399382 19.099779-79.599079-0.699992-12.599854-8.699899-23.499728-20.399763-28.099675-42.099513-16.299811-71.899168-57.299337-71.599172-105.298781 0.399995-61.699286 51.299406-111.698707 112.998692-111.198714 61.399289 0.499994 110.998715 50.499416 110.998716 111.998704 0 29.599657-11.499867 56.499346-30.199651 76.499115z" p-id="2563" fill="#ffffff"></path></svg>
|
||||
|
Before Width: | Height: | Size: 2.1 KiB |
@@ -1 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1772011015773" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="8632" xmlns:xlink="http://www.w3.org/1999/xlink" width="32" height="32"><path d="M512 298.6496a85.3504 85.3504 0 1 0 0-170.6496 85.3504 85.3504 0 0 0 0 170.6496z" p-id="8633"></path><path d="M512 512m-85.3504 0a85.3504 85.3504 0 1 0 170.7008 0 85.3504 85.3504 0 1 0-170.7008 0Z" p-id="8634"></path><path d="M512 896a85.3504 85.3504 0 1 0 0-170.7008 85.3504 85.3504 0 0 0 0 170.7008z" p-id="8635"></path></svg>
|
||||
|
Before Width: | Height: | Size: 661 B |
@@ -1,6 +1 @@
|
||||
<?xml version="1.0" standalone="no"?>
|
||||
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
|
||||
<svg t="1761204835005" class="icon" viewBox="0 0 1171 1024" version="1.1" xmlns="http://www.w3.org/2000/svg"
|
||||
p-id="5692" xmlns:xlink="http://www.w3.org/1999/xlink" width="228.7109375" height="200">
|
||||
<path d="M502.237757 1024 644.426501 829.679301 502.237757 788.716444 502.237757 1024 502.237757
|
||||
1024ZM0 566.713817 403.967637 689.088066 901.485385 266.66003 515.916344 721.68034 947.825442 855.099648 1170.285714 0 0 566.713817 0 566.713817Z" p-id="5693"></path></svg>
|
||||
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1761204835005" class="icon" viewBox="0 0 1171 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="5692" xmlns:xlink="http://www.w3.org/1999/xlink" width="228.7109375" height="200"><path d="M502.237757 1024 644.426501 829.679301 502.237757 788.716444 502.237757 1024 502.237757 1024ZM0 566.713817 403.967637 689.088066 901.485385 266.66003 515.916344 721.68034 947.825442 855.099648 1170.285714 0 0 566.713817 0 566.713817Z" p-id="5693"></path></svg>
|
||||
|
||||
|
Before Width: | Height: | Size: 610 B After Width: | Height: | Size: 603 B |
@@ -1,7 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?>
|
||||
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
|
||||
<svg t="1768992484327" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg"
|
||||
p-id="10530" xmlns:xlink="http://www.w3.org/1999/xlink">
|
||||
<path d="M512 853.333333c-187.733333 0-341.333333-153.6-341.333333-341.333333s153.6-341.333333 341.333333-341.333333
|
||||
341.333333 153.6 341.333333 341.333333-153.6 341.333333-341.333333 341.333333z m0-85.333333c140.8 0 256-115.2 256-256s-115.2-256-256-256-256
|
||||
115.2-256 256 115.2 256 256 256z m-85.333333-341.333333h170.666666v170.666666h-170.666666v-170.666666z" fill="#ffffff" p-id="10531"></path></svg>
|
||||
|
Before Width: | Height: | Size: 709 B |
@@ -1 +0,0 @@
|
||||
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1769048534610" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="4890" xmlns:xlink="http://www.w3.org/1999/xlink" width="48" height="48"><path d="M527.984 1001.6a480 480 0 1 1 480-480 480.384 480.384 0 0 1-480 480z m0-883.696A403.696 403.696 0 1 0 931.68 521.6 403.84 403.84 0 0 0 527.984 117.904z" fill="#36404f" p-id="4891"></path><path d="M473.136 729.6a47.088 47.088 0 0 1-18.112-3.888 38.768 38.768 0 0 1-23.056-34.992V384.384a39.632 39.632 0 0 1 23.056-34.992 46.016 46.016 0 0 1 43.632 3.888l211.568 153.168a38.72 38.72 0 0 1 16.464 31.104 37.632 37.632 0 0 1-16.464 31.104l-211.568 153.168a44.56 44.56 0 0 1-25.52 7.776z m41.168-266.704v149.296l102.896-74.64z" fill="#36404f" p-id="4892"></path></svg>
|
||||
|
Before Width: | Height: | Size: 894 B |
@@ -1,163 +0,0 @@
|
||||
<template>
|
||||
<div class="external-input-container">
|
||||
<div class="branch-input-container">
|
||||
<el-input
|
||||
v-model="inputValue"
|
||||
placeholder="输入分支需求..."
|
||||
size="small"
|
||||
class="branch-input"
|
||||
@keydown="handleKeydown"
|
||||
ref="inputRef"
|
||||
/>
|
||||
<span
|
||||
class="submit-icon"
|
||||
:class="{ 'is-disabled': !inputValue.trim() }"
|
||||
@click="handleSubmit"
|
||||
>
|
||||
<svg-icon icon-class="paper-plane" size="14px" color="#fff" />
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<script setup lang="ts">
|
||||
import { ref, nextTick } from 'vue'
|
||||
import SvgIcon from '@/components/SvgIcon/index.vue'
|
||||
|
||||
interface Props {
|
||||
modelValue?: string
|
||||
placeholder?: string
|
||||
}
|
||||
|
||||
const props = withDefaults(defineProps<Props>(), {
|
||||
modelValue: '',
|
||||
placeholder: '输入分支需求...'
|
||||
})
|
||||
|
||||
const emit = defineEmits<{
|
||||
(e: 'update:modelValue', value: string): void
|
||||
(e: 'submit', value: string): void
|
||||
(e: 'cancel'): void
|
||||
}>()
|
||||
|
||||
const inputValue = ref(props.modelValue)
|
||||
const inputRef = ref<InstanceType<typeof HTMLInputElement>>()
|
||||
|
||||
// 聚焦输入框
|
||||
const focus = () => {
|
||||
nextTick(() => {
|
||||
inputRef.value?.focus()
|
||||
})
|
||||
}
|
||||
|
||||
// 暴露方法给父组件
|
||||
defineExpose({
|
||||
focus
|
||||
})
|
||||
|
||||
const handleSubmit = () => {
|
||||
if (inputValue.value.trim()) {
|
||||
emit('submit', inputValue.value.trim())
|
||||
inputValue.value = ''
|
||||
}
|
||||
}
|
||||
|
||||
const handleCancel = () => {
|
||||
inputValue.value = ''
|
||||
emit('cancel')
|
||||
}
|
||||
|
||||
const handleKeydown = (event: KeyboardEvent) => {
|
||||
if (event.key === 'Enter') {
|
||||
event.preventDefault()
|
||||
handleSubmit()
|
||||
} else if (event.key === 'Escape') {
|
||||
handleCancel()
|
||||
}
|
||||
}
|
||||
</script>
|
||||
|
||||
<style scoped lang="scss">
|
||||
.external-input-container {
|
||||
position: absolute;
|
||||
bottom: -80px;
|
||||
left: 50%;
|
||||
transform: translateX(-50%);
|
||||
width: 260px;
|
||||
background: linear-gradient(var(--color-card-bg-task), var(--color-card-bg-task)) padding-box,
|
||||
linear-gradient(to right, var(--color-accent), var(--color-accent-secondary)) border-box;
|
||||
border: 2px solid transparent;
|
||||
border-radius: 30px;
|
||||
padding: 10px 12px;
|
||||
box-shadow: 0 4px 16px rgba(0, 0, 0, 0.1);
|
||||
z-index: 100;
|
||||
animation: slideDown 0.2s ease-out;
|
||||
}
|
||||
|
||||
.branch-input-container {
|
||||
width: 100%;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.branch-input {
|
||||
width: 100%;
|
||||
|
||||
:deep(.el-input__wrapper) {
|
||||
background: transparent;
|
||||
border: none;
|
||||
box-shadow: none;
|
||||
|
||||
&:hover {
|
||||
border: none;
|
||||
}
|
||||
|
||||
&.is-focus {
|
||||
border: none;
|
||||
box-shadow: none;
|
||||
}
|
||||
|
||||
.el-input__inner {
|
||||
font-size: 14px;
|
||||
color: var(--color-text-taskbar);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.submit-icon {
|
||||
cursor: pointer;
|
||||
transition: all 0.2s ease;
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
width: 32px;
|
||||
height: 32px;
|
||||
border-radius: 50%;
|
||||
background: linear-gradient(to right, var(--color-accent), var(--color-accent-secondary));
|
||||
|
||||
&:hover:not(.is-disabled) {
|
||||
transform: scale(1.1);
|
||||
}
|
||||
|
||||
&:active:not(.is-disabled) {
|
||||
transform: scale(0.95);
|
||||
}
|
||||
|
||||
&.is-disabled {
|
||||
opacity: 0.4;
|
||||
cursor: not-allowed;
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes slideDown {
|
||||
from {
|
||||
opacity: 0;
|
||||
transform: translateX(-50%) translateY(-10px);
|
||||
}
|
||||
to {
|
||||
opacity: 1;
|
||||
transform: translateX(-50%) translateY(0);
|
||||
}
|
||||
}
|
||||
</style>
|
||||
@@ -1,161 +0,0 @@
|
||||
<template>
|
||||
<el-dialog
|
||||
v-model="dialogVisible"
|
||||
:width="width"
|
||||
:modal="false"
|
||||
:close-on-click-modal="false"
|
||||
:center="true"
|
||||
:show-close="false"
|
||||
top="20vh"
|
||||
@closed="handleClosed"
|
||||
>
|
||||
<template #header>
|
||||
<div class="dialog-header">
|
||||
<SvgIcon icon-class="JingGao" size="20px" color="#ff6712" />
|
||||
<span>{{ title }}</span>
|
||||
<button class="dialog-close-btn" @click="handleCancel">
|
||||
<SvgIcon icon-class="close" size="18px" />
|
||||
</button>
|
||||
</div>
|
||||
</template>
|
||||
<slot>
|
||||
<span>{{ content }}</span>
|
||||
</slot>
|
||||
<template #footer>
|
||||
<span class="dialog-footer">
|
||||
<el-button @click="handleCancel">{{ cancelText }}</el-button>
|
||||
<el-button class="confirm-btn" type="danger" :loading="loading" @click="handleConfirm">
|
||||
{{ confirmText }}
|
||||
</el-button>
|
||||
</span>
|
||||
</template>
|
||||
</el-dialog>
|
||||
</template>
|
||||
|
||||
<script setup lang="ts">
|
||||
import { ref, watch } from 'vue'
|
||||
import SvgIcon from '@/components/SvgIcon/index.vue'
|
||||
|
||||
interface Props {
|
||||
modelValue: boolean
|
||||
title?: string
|
||||
content?: string
|
||||
width?: string | number
|
||||
confirmText?: string
|
||||
cancelText?: string
|
||||
}
|
||||
|
||||
const props = withDefaults(defineProps<Props>(), {
|
||||
title: '确认删除',
|
||||
content: '删除后，该操作无法恢复！',
|
||||
width: '400px',
|
||||
confirmText: '删除',
|
||||
cancelText: '取消'
|
||||
})
|
||||
|
||||
const emit = defineEmits<{
|
||||
(e: 'update:modelValue', value: boolean): void
|
||||
(e: 'confirm'): void
|
||||
(e: 'cancel'): void
|
||||
}>()
|
||||
|
||||
const loading = ref(false)
|
||||
const dialogVisible = ref(props.modelValue)
|
||||
|
||||
// 监听 v-model 变化
|
||||
watch(
|
||||
() => props.modelValue,
|
||||
val => {
|
||||
dialogVisible.value = val
|
||||
}
|
||||
)
|
||||
|
||||
// 监听对话框显示状态变化
|
||||
watch(dialogVisible, val => {
|
||||
emit('update:modelValue', val)
|
||||
// 当对话框关闭时，重置 loading 状态
|
||||
if (!val) {
|
||||
loading.value = false
|
||||
}
|
||||
})
|
||||
|
||||
// 确认删除
|
||||
const handleConfirm = async () => {
|
||||
loading.value = true
|
||||
emit('confirm')
|
||||
}
|
||||
|
||||
// 取消
|
||||
const handleCancel = () => {
|
||||
emit('cancel')
|
||||
dialogVisible.value = false
|
||||
}
|
||||
|
||||
// 对话框关闭后重置 loading 状态
|
||||
const handleClosed = () => {
|
||||
loading.value = false
|
||||
}
|
||||
|
||||
// 暴露方法供外部调用
|
||||
defineExpose({
|
||||
setLoading: (val: boolean) => {
|
||||
loading.value = val
|
||||
},
|
||||
close: () => {
|
||||
dialogVisible.value = false
|
||||
}
|
||||
})
|
||||
</script>
|
||||
|
||||
<style scoped lang="scss">
|
||||
.dialog-header {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
gap: 8px;
|
||||
font-size: 16px;
|
||||
font-weight: 600;
|
||||
width: 100%;
|
||||
|
||||
.dialog-close-btn {
|
||||
background: none;
|
||||
border: none;
|
||||
cursor: pointer;
|
||||
padding: 4px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
border-radius: 4px;
|
||||
margin-left: auto;
|
||||
transition: transform 0.3s ease;
|
||||
|
||||
&:hover {
|
||||
transform: rotate(360deg);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.dialog-footer {
|
||||
display: flex;
|
||||
justify-content: flex-end;
|
||||
gap: 12px;
|
||||
|
||||
.el-button:not(.confirm-btn) {
|
||||
background: #ffffff;
|
||||
border-color: #dcdfe6;
|
||||
color: #000000;
|
||||
|
||||
&:hover {
|
||||
background: #f5f5f5;
|
||||
border-color: #c0c0c0;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.confirm-btn {
|
||||
--el-button-bg-color: #ff6712;
|
||||
--el-button-border-color: #ff6712;
|
||||
--el-button-hover-bg-color: #e55a0f;
|
||||
--el-button-hover-border-color: #e55a0f;
|
||||
}
|
||||
</style>
|
||||
@@ -1,11 +1,5 @@
|
||||
<template>
|
||||
<el-tooltip
|
||||
:disabled="!isOverflow"
|
||||
effect="light"
|
||||
placement="top"
|
||||
:content="text"
|
||||
popper-class="multi-line-tooltip-popper"
|
||||
>
|
||||
<el-tooltip :disabled="!isOverflow" effect="light" placement="top" :content="text">
|
||||
<div
|
||||
ref="containerRef"
|
||||
class="multi-line-ellipsis"
|
||||
@@ -34,7 +28,7 @@ interface Props {
|
||||
const props = withDefaults(defineProps<Props>(), {
|
||||
text: '',
|
||||
lines: 3,
|
||||
maxWidth: '100%'
|
||||
maxWidth: '100%',
|
||||
})
|
||||
|
||||
const isOverflow = ref(false)
|
||||
@@ -51,8 +45,8 @@ const containerStyle = computed(
|
||||
overflow: 'hidden',
|
||||
textOverflow: 'ellipsis',
|
||||
lineHeight: '1.5',
|
||||
wordBreak: 'break-all'
|
||||
} as HTMLAttributes['style'])
|
||||
wordBreak: 'break-all',
|
||||
}) as HTMLAttributes['style'],
|
||||
)
|
||||
|
||||
// 检查文字是否溢出
|
||||
@@ -97,9 +91,3 @@ onMounted(() => {
|
||||
white-space: normal;
|
||||
}
|
||||
</style>
|
||||
|
||||
<style>
|
||||
.multi-line-tooltip-popper {
|
||||
max-width: 400px;
|
||||
}
|
||||
</style>
|
||||
|
||||
@@ -1,232 +0,0 @@
|
||||
<template>
|
||||
<teleport to="body">
|
||||
<div class="notification-container">
|
||||
<transition-group name="notification" tag="div" class="notification-list">
|
||||
<div
|
||||
v-for="notification in notifications"
|
||||
:key="notification.id"
|
||||
:class="['notification-item', `notification-${notification.type || 'info'}`]"
|
||||
:style="{ zIndex: notification.zIndex || 1000 }"
|
||||
>
|
||||
<div class="notification-content">
|
||||
<div class="notification-icon">
|
||||
<component :is="getIcon(notification.type)" />
|
||||
</div>
|
||||
<div class="notification-message">
|
||||
<div class="notification-title">{{ notification.title }}</div>
|
||||
<div v-if="notification.detailTitle" class="notification-detail-title">
|
||||
{{ notification.detailTitle }}
|
||||
</div>
|
||||
<div v-if="notification.detailMessage" class="notification-detail-desc">
|
||||
{{ notification.detailMessage }}
|
||||
</div>
|
||||
<div v-else-if="notification.message" class="notification-desc">
|
||||
{{ notification.message }}
|
||||
</div>
|
||||
</div>
|
||||
<div class="notification-close" @click="close(notification.id)">
|
||||
<Close />
|
||||
</div>
|
||||
</div>
|
||||
<div v-if="notification.showProgress" class="notification-progress">
|
||||
<div class="progress-bar" :style="{ width: `${notification.progress || 0}%` }"></div>
|
||||
</div>
|
||||
</div>
|
||||
</transition-group>
|
||||
</div>
|
||||
</teleport>
|
||||
</template>
|
||||
|
||||
<script setup lang="ts">
|
||||
import {
|
||||
Close,
|
||||
SuccessFilled as IconSuccess,
|
||||
WarningFilled as IconWarning,
|
||||
InfoFilled
|
||||
} from '@element-plus/icons-vue'
|
||||
import type { NotificationItem } from '@/composables/useNotification'
|
||||
|
||||
const props = defineProps<{
|
||||
notifications: NotificationItem[]
|
||||
}>()
|
||||
|
||||
const emit = defineEmits<{
|
||||
close: [id: string]
|
||||
}>()
|
||||
|
||||
const close = (id: string) => {
|
||||
emit('close', id)
|
||||
}
|
||||
|
||||
const getIcon = (type?: string) => {
|
||||
switch (type) {
|
||||
case 'success':
|
||||
return IconSuccess
|
||||
case 'warning':
|
||||
return IconWarning
|
||||
case 'error':
|
||||
return IconWarning
|
||||
default:
|
||||
return InfoFilled
|
||||
}
|
||||
}
|
||||
</script>
|
||||
|
||||
<style scoped>
|
||||
.notification-container {
|
||||
position: fixed;
|
||||
top: 20px;
|
||||
right: 20px;
|
||||
z-index: 9999;
|
||||
pointer-events: none;
|
||||
}
|
||||
|
||||
.notification-list {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 12px;
|
||||
}
|
||||
|
||||
.notification-item {
|
||||
pointer-events: auto;
|
||||
min-width: 300px;
|
||||
max-width: 450px;
|
||||
background: white;
|
||||
border-radius: 8px;
|
||||
box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15);
|
||||
overflow: hidden;
|
||||
border-left: 4px solid #409eff;
|
||||
}
|
||||
|
||||
.notification-success {
|
||||
border-left-color: #67c23a;
|
||||
}
|
||||
|
||||
.notification-warning {
|
||||
border-left-color: #e6a23c;
|
||||
}
|
||||
|
||||
.notification-error {
|
||||
border-left-color: #f56c6c;
|
||||
}
|
||||
|
||||
.notification-content {
|
||||
display: flex;
|
||||
align-items: flex-start;
|
||||
padding: 12px 16px;
|
||||
gap: 12px;
|
||||
}
|
||||
|
||||
.notification-icon {
|
||||
flex-shrink: 0;
|
||||
width: 20px;
|
||||
height: 20px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
}
|
||||
|
||||
.notification-message {
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
}
|
||||
|
||||
.notification-title {
|
||||
font-size: 14px;
|
||||
font-weight: 500;
|
||||
color: #303133;
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.notification-detail-title {
|
||||
font-size: 13px;
|
||||
font-weight: 500;
|
||||
color: #409eff;
|
||||
margin-top: 4px;
|
||||
margin-bottom: 2px;
|
||||
}
|
||||
|
||||
.notification-detail-desc {
|
||||
font-size: 12px;
|
||||
color: #909399;
|
||||
line-height: 1.4;
|
||||
}
|
||||
|
||||
.notification-desc {
|
||||
font-size: 13px;
|
||||
color: #606266;
|
||||
line-height: 1.5;
|
||||
}
|
||||
|
||||
.notification-close {
|
||||
flex-shrink: 0;
|
||||
width: 20px;
|
||||
height: 20px;
|
||||
cursor: pointer;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
color: #909399;
|
||||
transition: color 0.2s;
|
||||
}
|
||||
|
||||
.notification-close:hover {
|
||||
color: #606266;
|
||||
}
|
||||
|
||||
.notification-progress {
|
||||
height: 2px;
|
||||
background: #f0f2f5;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.progress-bar {
|
||||
height: 100%;
|
||||
background: #409eff;
|
||||
transition: width 0.3s ease;
|
||||
}
|
||||
|
||||
/* 进入动画 */
|
||||
.notification-enter-active {
|
||||
animation: slideInRight 0.3s ease-out;
|
||||
}
|
||||
|
||||
/* 离开动画 */
|
||||
.notification-leave-active {
|
||||
animation: slideOutRight 0.3s ease-in;
|
||||
}
|
||||
|
||||
@keyframes slideInRight {
|
||||
from {
|
||||
opacity: 0;
|
||||
transform: translateX(100%);
|
||||
}
|
||||
to {
|
||||
opacity: 1;
|
||||
transform: translateX(0);
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes slideOutRight {
|
||||
from {
|
||||
opacity: 1;
|
||||
transform: translateX(0);
|
||||
}
|
||||
to {
|
||||
opacity: 0;
|
||||
transform: translateX(100%);
|
||||
}
|
||||
}
|
||||
|
||||
/* 列表项移动动画 */
|
||||
.notification-move,
|
||||
.notification-enter-active,
|
||||
.notification-leave-active {
|
||||
transition: all 0.3s ease;
|
||||
}
|
||||
|
||||
.notification-leave-active {
|
||||
position: absolute;
|
||||
width: 100%;
|
||||
}
|
||||
</style>
|
||||
@@ -1,515 +0,0 @@
|
||||
<template>
|
||||
<el-dialog
|
||||
v-model="dialogVisible"
|
||||
:width="width"
|
||||
:close-on-click-modal="true"
|
||||
:center="true"
|
||||
:show-close="false"
|
||||
top="20vh"
|
||||
@closed="handleClosed"
|
||||
>
|
||||
<!-- 自定义关闭按钮 -->
|
||||
<template #header>
|
||||
<div class="dialog-header">
|
||||
<span class="dialog-title">分享链接</span>
|
||||
<button class="dialog-close-btn" @click="dialogVisible = false">
|
||||
<SvgIcon icon-class="close" size="18px" />
|
||||
</button>
|
||||
</div>
|
||||
</template>
|
||||
<div class="share-content">
|
||||
<!-- 设置区域 -->
|
||||
<div v-if="!loading && !error" class="settings-section">
|
||||
<!-- 有效期设置 -->
|
||||
<div class="setting-row inline">
|
||||
<div class="setting-label">有效期：</div>
|
||||
<div class="option-box">
|
||||
<div
|
||||
v-for="option in expirationOptions"
|
||||
:key="option.value"
|
||||
:class="['option-item', { active: expirationDays === option.value }]"
|
||||
@click="expirationDays = option.value"
|
||||
>
|
||||
{{ option.label }}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- 提取码设置 -->
|
||||
<div class="setting-row inline">
|
||||
<div class="setting-label">提取码：</div>
|
||||
<div class="code-option-box">
|
||||
<div
|
||||
:class="['option-item', { active: codeType === 'random' }]"
|
||||
@click="handleCodeTypeChange('random')"
|
||||
>
|
||||
随机生成
|
||||
</div>
|
||||
<div
|
||||
:class="['option-item', { active: codeType === 'custom' }]"
|
||||
@click="handleCodeTypeChange('custom')"
|
||||
>
|
||||
自定义
|
||||
</div>
|
||||
</div>
|
||||
<!-- 自定义输入框 -->
|
||||
<div v-if="codeType === 'custom'" class="custom-code-wrapper">
|
||||
<el-input
|
||||
v-model="customCode"
|
||||
placeholder="仅支持字母/数字"
|
||||
class="custom-code-input"
|
||||
maxlength="4"
|
||||
@input="validateCustomCode"
|
||||
>
|
||||
<template #suffix>
|
||||
<span v-if="customCode" class="code-count">{{ customCode.length }}/4</span>
|
||||
</template>
|
||||
</el-input>
|
||||
<span v-if="!customCode" class="code-hint">请输入提取码</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- 自动填充提取码选项 -->
|
||||
<div class="setting-row">
|
||||
<el-checkbox v-model="autoFillCode" class="auto-fill-checkbox">
|
||||
分享链接自动填充提取码
|
||||
</el-checkbox>
|
||||
</div>
|
||||
|
||||
<!-- 复制链接按钮 -->
|
||||
<el-button
|
||||
type="primary"
|
||||
size="large"
|
||||
class="generate-btn"
|
||||
:disabled="!canGenerate"
|
||||
:loading="loading"
|
||||
@click="handleCopyLink"
|
||||
>
|
||||
复制链接
|
||||
</el-button>
|
||||
</div>
|
||||
|
||||
<!-- 错误状态 -->
|
||||
<div v-else-if="error" class="error-state">
|
||||
<div class="error-icon">
|
||||
<SvgIcon icon-class="JingGao" size="48px" color="#f56c6c" />
|
||||
</div>
|
||||
<p class="error-text">{{ error }}</p>
|
||||
</div>
|
||||
</div>
|
||||
</el-dialog>
|
||||
</template>
|
||||
|
||||
<script setup lang="ts">
|
||||
import { ref, watch, computed } from 'vue'
|
||||
import { ElMessage } from 'element-plus'
|
||||
import { Loading } from '@element-plus/icons-vue'
|
||||
import SvgIcon from '@/components/SvgIcon/index.vue'
|
||||
import websocket from '@/utils/websocket'
|
||||
|
||||
interface Props {
|
||||
modelValue: boolean
|
||||
planId?: string
|
||||
width?: string | number
|
||||
}
|
||||
|
||||
const props = withDefaults(defineProps<Props>(), {
|
||||
modelValue: false,
|
||||
planId: '',
|
||||
width: '450px'
|
||||
})
|
||||
|
||||
const emit = defineEmits<{
|
||||
(e: 'update:modelValue', value: boolean): void
|
||||
}>()
|
||||
|
||||
// 有效期选项
|
||||
const expirationOptions = [
|
||||
{ label: '1天', value: 1 },
|
||||
{ label: '7天', value: 7 },
|
||||
{ label: '30天', value: 30 },
|
||||
{ label: '365天', value: 365 },
|
||||
{ label: '永久有效', value: 0 }
|
||||
]
|
||||
|
||||
const loading = ref(false)
|
||||
const error = ref('')
|
||||
const dialogVisible = ref(props.modelValue)
|
||||
const expirationDays = ref(7) // 默认7天
|
||||
const codeType = ref<'random' | 'custom'>('random') // 提取码类型
|
||||
const customCode = ref('') // 自定义提取码
|
||||
const generatedCode = ref('') // 生成的提取码
|
||||
const autoFillCode = ref(true) // 分享链接自动填充提取码
|
||||
|
||||
// 是否可以生成链接
|
||||
const canGenerate = computed(() => {
|
||||
if (codeType.value === 'random') {
|
||||
return true // 随机生成总是可以
|
||||
} else {
|
||||
return /^[a-zA-Z0-9]{4}$/.test(customCode.value)
|
||||
}
|
||||
})
|
||||
|
||||
// 生成唯一请求ID
|
||||
let requestIdCounter = 0
|
||||
const generateRequestId = () => `ws_req_${Date.now()}_${++requestIdCounter}`
|
||||
|
||||
// 监听 v-model 变化
|
||||
watch(
|
||||
() => props.modelValue,
|
||||
val => {
|
||||
dialogVisible.value = val
|
||||
if (val && props.planId) {
|
||||
// 打开弹窗时重置状态
|
||||
loading.value = false
|
||||
error.value = ''
|
||||
// 生成随机提取码
|
||||
generateRandomCode()
|
||||
}
|
||||
}
|
||||
)
|
||||
|
||||
// 监听对话框显示状态变化
|
||||
watch(dialogVisible, val => {
|
||||
emit('update:modelValue', val)
|
||||
})
|
||||
|
||||
// 生成随机提取码（4位字母数字）
|
||||
const generateRandomCode = () => {
|
||||
const chars = 'ABCDEFGHJKLMNPQRSTUVWXYZ23456789'
|
||||
let code = ''
|
||||
for (let i = 0; i < 4; i++) {
|
||||
code += chars.charAt(Math.floor(Math.random() * chars.length))
|
||||
}
|
||||
generatedCode.value = code
|
||||
}
|
||||
|
||||
// 处理提取码类型变化
|
||||
const handleCodeTypeChange = (type: 'random' | 'custom') => {
|
||||
codeType.value = type
|
||||
if (type === 'random') {
|
||||
generateRandomCode()
|
||||
}
|
||||
}
|
||||
|
||||
// 验证自定义提取码
|
||||
const validateCustomCode = (value: string) => {
|
||||
// 只允许字母和数字
|
||||
customCode.value = value.replace(/[^a-zA-Z0-9]/g, '').toUpperCase()
|
||||
}
|
||||
|
||||
// 生成并复制链接
|
||||
const handleCopyLink = async () => {
|
||||
if (!props.planId) {
|
||||
error.value = '任务 ID 为空'
|
||||
return
|
||||
}
|
||||
|
||||
// 获取提取码
|
||||
const extractionCode = codeType.value === 'random' ? generatedCode.value : customCode.value
|
||||
|
||||
loading.value = true
|
||||
error.value = ''
|
||||
|
||||
const reqId = generateRequestId()
|
||||
|
||||
try {
|
||||
const result = await websocket.send('share_plan', {
|
||||
id: reqId,
|
||||
data: {
|
||||
plan_id: props.planId,
|
||||
expiration_days: expirationDays.value,
|
||||
extraction_code: extractionCode,
|
||||
auto_fill_code: autoFillCode.value
|
||||
}
|
||||
})
|
||||
|
||||
if (result.data?.share_url) {
|
||||
// 获取当前域名
|
||||
const baseUrl = window.location.origin
|
||||
const fullUrl = baseUrl + result.data.share_url
|
||||
|
||||
// 复制到剪贴板
|
||||
try {
|
||||
await navigator.clipboard.writeText(fullUrl)
|
||||
ElMessage.success('链接已复制到剪贴板')
|
||||
dialogVisible.value = false
|
||||
} catch {
|
||||
ElMessage.error('复制失败，请手动复制')
|
||||
}
|
||||
} else {
|
||||
error.value = '生成分享链接失败'
|
||||
}
|
||||
} catch (err: any) {
|
||||
error.value = err.message || '生成分享链接失败'
|
||||
} finally {
|
||||
loading.value = false
|
||||
}
|
||||
}
|
||||
|
||||
// 对话框关闭后重置状态
|
||||
const handleClosed = () => {
|
||||
loading.value = false
|
||||
error.value = ''
|
||||
expirationDays.value = 7
|
||||
codeType.value = 'random'
|
||||
customCode.value = ''
|
||||
generatedCode.value = ''
|
||||
autoFillCode.value = true
|
||||
}
|
||||
|
||||
// 暴露方法供外部调用
|
||||
defineExpose({
|
||||
close: () => {
|
||||
dialogVisible.value = false
|
||||
}
|
||||
})
|
||||
</script>
|
||||
|
||||
<style scoped lang="scss">
|
||||
// 自定义对话框头部
|
||||
.dialog-header {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
width: 100%;
|
||||
|
||||
.dialog-title {
|
||||
font-size: 16px;
|
||||
font-weight: 600;
|
||||
color: var(--color-text-primary);
|
||||
}
|
||||
|
||||
.dialog-close-btn {
|
||||
background: none;
|
||||
border: none;
|
||||
cursor: pointer;
|
||||
width: 24px;
|
||||
height: 24px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
border-radius: 4px;
|
||||
color: var(--color-text-regular);
|
||||
transition: transform 0.3s ease;
|
||||
|
||||
&:hover {
|
||||
transform: rotate(180deg);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.share-content {
|
||||
padding: 20px 0;
|
||||
}
|
||||
|
||||
.settings-section {
|
||||
.setting-row {
|
||||
margin-bottom: 20px;
|
||||
|
||||
&.inline {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
margin-bottom: 16px;
|
||||
flex-wrap: wrap;
|
||||
.setting-label {
|
||||
margin-bottom: 0;
|
||||
margin-right: 12px;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.option-box {
|
||||
flex: 1;
|
||||
min-width: 200px;
|
||||
}
|
||||
.code-option-box {
|
||||
flex: none;
|
||||
}
|
||||
.custom-code-wrapper {
|
||||
margin-left: 8px;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.setting-label {
|
||||
font-size: 14px;
|
||||
color: var(--color-text-primary);
|
||||
margin-bottom: 8px;
|
||||
font-weight: 500;
|
||||
}
|
||||
|
||||
.option-box {
|
||||
display: flex;
|
||||
border: 1px solid var(--color-border);
|
||||
border-radius: 6px;
|
||||
overflow: hidden;
|
||||
|
||||
.option-item {
|
||||
flex: 1;
|
||||
padding: 10px 0;
|
||||
text-align: center;
|
||||
cursor: pointer;
|
||||
font-size: 13px;
|
||||
color: var(--color-text-secondary);
|
||||
border-right: 1px solid var(--color-border);
|
||||
transition: all 0.2s;
|
||||
|
||||
&:last-child {
|
||||
border-right: none;
|
||||
}
|
||||
|
||||
&:hover {
|
||||
background-color: var(--color-bg-subtle);
|
||||
}
|
||||
|
||||
&.active {
|
||||
background-color: var(--color-primary);
|
||||
color: var(--color-text-result-detail-run);
|
||||
font-weight: 600;
|
||||
box-shadow: inset 0 0 0 2px var(--color-primary);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.code-option-box {
|
||||
display: flex;
|
||||
width: 160px;
|
||||
border: 1px solid var(--color-border);
|
||||
border-radius: 6px;
|
||||
overflow: hidden;
|
||||
|
||||
.option-item {
|
||||
flex: 1;
|
||||
padding: 10px 0;
|
||||
text-align: center;
|
||||
cursor: pointer;
|
||||
font-size: 13px;
|
||||
color: var(--color-text-secondary);
|
||||
border-right: 1px solid var(--color-border);
|
||||
transition: all 0.2s;
|
||||
|
||||
&:last-child {
|
||||
border-right: none;
|
||||
}
|
||||
|
||||
&:hover {
|
||||
background-color: var(--color-bg-subtle);
|
||||
}
|
||||
|
||||
&.active {
|
||||
background-color: var(--color-primary);
|
||||
color: var(--color-text-result-detail-run);
|
||||
font-weight: 600;
|
||||
box-shadow: inset 0 0 0 2px var(--color-primary);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.custom-code-wrapper {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
margin-left: 8px;
|
||||
|
||||
.custom-code-input {
|
||||
width: 100px;
|
||||
|
||||
:deep(.el-input__wrapper) {
|
||||
padding-right: 8px;
|
||||
}
|
||||
|
||||
:deep(.el-input__suffix) {
|
||||
right: 4px;
|
||||
}
|
||||
|
||||
:deep(.el-input__inner) {
|
||||
&::placeholder {
|
||||
font-size: 11px;
|
||||
color: #999;
|
||||
}
|
||||
}
|
||||
|
||||
.code-count {
|
||||
font-size: 10px;
|
||||
color: var(--color-text-secondary);
|
||||
}
|
||||
}
|
||||
|
||||
.code-hint {
|
||||
font-size: 12px;
|
||||
color: var(--color-error, #f56c6c);
|
||||
margin-left: 8px;
|
||||
white-space: nowrap;
|
||||
}
|
||||
}
|
||||
|
||||
.auto-fill-checkbox {
|
||||
margin-top: 8px;
|
||||
}
|
||||
|
||||
.generate-btn {
|
||||
margin-top: 24px;
|
||||
width: 100%;
|
||||
}
|
||||
}
|
||||
|
||||
.loading-state {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
padding: 40px 0;
|
||||
gap: 12px;
|
||||
color: var(--color-text-secondary);
|
||||
|
||||
.el-icon {
|
||||
font-size: 32px;
|
||||
}
|
||||
}
|
||||
|
||||
.success-state {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
padding: 20px 0;
|
||||
|
||||
.success-icon {
|
||||
margin-bottom: 16px;
|
||||
}
|
||||
|
||||
.success-text {
|
||||
font-size: 16px;
|
||||
font-weight: 500;
|
||||
color: var(--color-text-primary);
|
||||
margin-bottom: 20px;
|
||||
}
|
||||
|
||||
.share-link-box {
|
||||
width: 100%;
|
||||
margin-bottom: 16px;
|
||||
|
||||
.link-input {
|
||||
width: 100%;
|
||||
}
|
||||
}
|
||||
|
||||
.tip-text {
|
||||
font-size: 13px;
|
||||
color: var(--color-text-secondary);
|
||||
text-align: center;
|
||||
}
|
||||
}
|
||||
|
||||
.error-state {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
padding: 40px 0;
|
||||
gap: 12px;
|
||||
|
||||
.error-text {
|
||||
color: var(--color-error, #f56c6c);
|
||||
font-size: 14px;
|
||||
}
|
||||
}
|
||||
</style>
|
||||
@@ -18,7 +18,7 @@ const symbolId = computed(() => `#${props.prefix}-${props.iconClass}`)
|
||||
</script>
|
||||
|
||||
<template>
|
||||
<svg aria-hidden="true" class="svg-icon" :style="props.color ? `color:${props.color}` : ''">
|
||||
<svg aria-hidden="true" class="svg-icon" :style="`color:${props.color}`">
|
||||
<use :xlink:href="symbolId" />
|
||||
</svg>
|
||||
</template>
|
||||
|
||||
@@ -1,137 +0,0 @@
|
||||
<script setup lang="ts">
|
||||
import { ref, onMounted, onUnmounted } from 'vue'
|
||||
import type { IRawStepTask } from '@/stores'
|
||||
import SvgIcon from '@/components/SvgIcon/index.vue'
|
||||
|
||||
const props = defineProps<{
|
||||
task: IRawStepTask
|
||||
}>()
|
||||
|
||||
const emit = defineEmits<{
|
||||
(e: 'save', taskId: string, content: string): void
|
||||
}>()
|
||||
|
||||
const isEditing = ref(false)
|
||||
const editingContent = ref('')
|
||||
const editorRef = ref<HTMLElement>()
|
||||
|
||||
const startEditing = () => {
|
||||
editingContent.value = props.task.TaskContent || ''
|
||||
isEditing.value = true
|
||||
}
|
||||
|
||||
const save = () => {
|
||||
const trimmed = editingContent.value.trim()
|
||||
emit('save', props.task.Id!, trimmed)
|
||||
isEditing.value = false
|
||||
}
|
||||
|
||||
const cancel = () => {
|
||||
isEditing.value = false
|
||||
}
|
||||
|
||||
const handleKeydown = (event: KeyboardEvent) => {
|
||||
if (event.key === 'Enter') {
|
||||
event.preventDefault()
|
||||
save()
|
||||
} else if (event.key === 'Escape') {
|
||||
cancel()
|
||||
}
|
||||
}
|
||||
|
||||
// 点击外部保存
|
||||
const handleClickOutside = (event: MouseEvent) => {
|
||||
if (isEditing.value && editorRef.value && !editorRef.value.contains(event.target as Node)) {
|
||||
save()
|
||||
}
|
||||
}
|
||||
|
||||
onMounted(() => {
|
||||
document.addEventListener('click', handleClickOutside)
|
||||
})
|
||||
|
||||
onUnmounted(() => {
|
||||
document.removeEventListener('click', handleClickOutside)
|
||||
})
|
||||
</script>
|
||||
|
||||
<template>
|
||||
<div ref="editorRef" v-if="isEditing" class="w-full">
|
||||
<el-input
|
||||
v-model="editingContent"
|
||||
type="textarea"
|
||||
:autosize="{ minRows: 2, maxRows: 4 }"
|
||||
placeholder="请输入任务内容"
|
||||
@keydown="handleKeydown"
|
||||
class="task-content-editor"
|
||||
size="small"
|
||||
/>
|
||||
</div>
|
||||
<div v-else @dblclick="startEditing" class="w-full cursor-pointer task-content-wrapper">
|
||||
<slot name="display">
|
||||
<div class="text-[14px] text-[var(--color-text-secondary)] task-content-display">
|
||||
{{ task.TaskContent }}
|
||||
</div>
|
||||
</slot>
|
||||
<div class="edit-icon-bg" @click.stop="startEditing">
|
||||
<svg-icon icon-class="Edit" class="edit-icon-svg" />
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<style scoped lang="scss">
|
||||
.task-content-wrapper {
|
||||
position: relative;
|
||||
padding: 4px;
|
||||
border: 2px solid transparent;
|
||||
border-radius: 7px;
|
||||
box-sizing: border-box;
|
||||
transition: border-color 0.3s ease;
|
||||
|
||||
&:hover {
|
||||
border-color: var(--color-task-edit-hover-border) !important;
|
||||
}
|
||||
|
||||
.edit-icon-bg {
|
||||
position: absolute;
|
||||
right: -1px;
|
||||
bottom: -1px;
|
||||
width: 26px;
|
||||
height: 22px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
opacity: 0;
|
||||
transition: opacity 0.3s ease;
|
||||
cursor: pointer;
|
||||
background: var(--color-edit-icon-bg);
|
||||
border-radius: 8px 0px 7px 0px;
|
||||
|
||||
.edit-icon-svg {
|
||||
color: var(--color-text-detail);
|
||||
}
|
||||
}
|
||||
|
||||
&:hover .edit-icon-bg {
|
||||
opacity: 1;
|
||||
}
|
||||
}
|
||||
|
||||
.task-content-editor {
|
||||
:deep(.el-textarea__inner) {
|
||||
font-size: 14px;
|
||||
color: var(--color-text-secondary);
|
||||
background: transparent;
|
||||
border: 1px solid var(--color-task-edit-hover-border) !important;
|
||||
border-radius: 4px;
|
||||
box-sizing: border-box;
|
||||
resize: none;
|
||||
}
|
||||
}
|
||||
|
||||
.task-content-display {
|
||||
min-height: 40px;
|
||||
word-break: break-word;
|
||||
white-space: pre-wrap;
|
||||
}
|
||||
</style>
|
||||
@@ -1,163 +0,0 @@
|
||||
import { ref } from 'vue'
|
||||
|
||||
export interface NotificationItem {
|
||||
id: string
|
||||
title: string
|
||||
message?: string
|
||||
type?: 'success' | 'warning' | 'info' | 'error'
|
||||
duration?: number
|
||||
showProgress?: boolean
|
||||
progress?: number
|
||||
zIndex?: number
|
||||
onClose?: () => void
|
||||
// 详细进度信息
|
||||
detailTitle?: string
|
||||
detailMessage?: string
|
||||
}
|
||||
|
||||
const notifications = ref<NotificationItem[]>([])
|
||||
let notificationIdCounter = 0
|
||||
let zIndexCounter = 1000
|
||||
|
||||
export function useNotification() {
|
||||
const addNotification = (notification: Omit<NotificationItem, 'id' | 'zIndex'>) => {
|
||||
const id = `notification-${notificationIdCounter++}`
|
||||
const newNotification: NotificationItem = {
|
||||
...notification,
|
||||
id,
|
||||
zIndex: ++zIndexCounter,
|
||||
}
|
||||
|
||||
notifications.value.push(newNotification)
|
||||
|
||||
// 自动关闭
|
||||
if (notification.duration && notification.duration > 0) {
|
||||
setTimeout(() => {
|
||||
removeNotification(id)
|
||||
}, notification.duration)
|
||||
}
|
||||
|
||||
return id
|
||||
}
|
||||
|
||||
const removeNotification = (id: string) => {
|
||||
const notification = notifications.value.find((n) => n.id === id)
|
||||
if (notification) {
|
||||
const index = notifications.value.indexOf(notification)
|
||||
notifications.value.splice(index, 1)
|
||||
notification.onClose?.()
|
||||
}
|
||||
}
|
||||
|
||||
const success = (title: string, message?: string, options?: Partial<NotificationItem>) => {
|
||||
return addNotification({
|
||||
title,
|
||||
message,
|
||||
type: 'success',
|
||||
duration: 3000,
|
||||
...options,
|
||||
})
|
||||
}
|
||||
|
||||
const warning = (title: string, message?: string, options?: Partial<NotificationItem>) => {
|
||||
return addNotification({
|
||||
title,
|
||||
message,
|
||||
type: 'warning',
|
||||
duration: 3000,
|
||||
...options,
|
||||
})
|
||||
}
|
||||
|
||||
const info = (title: string, message?: string, options?: Partial<NotificationItem>) => {
|
||||
return addNotification({
|
||||
title,
|
||||
message,
|
||||
type: 'info',
|
||||
duration: 3000,
|
||||
...options,
|
||||
})
|
||||
}
|
||||
|
||||
const error = (title: string, message?: string, options?: Partial<NotificationItem>) => {
|
||||
return addNotification({
|
||||
title,
|
||||
message,
|
||||
type: 'error',
|
||||
duration: 5000,
|
||||
...options,
|
||||
})
|
||||
}
|
||||
|
||||
const progress = (
|
||||
title: string,
|
||||
current: number,
|
||||
total: number,
|
||||
options?: Partial<NotificationItem>,
|
||||
) => {
|
||||
const progressPercent = Math.round((current / total) * 100)
|
||||
return addNotification({
|
||||
title,
|
||||
message: `${current}/${total}`,
|
||||
type: 'info',
|
||||
showProgress: true,
|
||||
progress: progressPercent,
|
||||
duration: 0, // 不自动关闭
|
||||
...options,
|
||||
})
|
||||
}
|
||||
|
||||
const updateProgress = (id: string, current: number, total: number) => {
|
||||
const notification = notifications.value.find((n) => n.id === id)
|
||||
if (notification) {
|
||||
notification.progress = Math.round((current / total) * 100)
|
||||
notification.message = `${current}/${total}`
|
||||
}
|
||||
}
|
||||
|
||||
const updateProgressDetail = (
|
||||
id: string,
|
||||
detailTitle: string,
|
||||
detailMessage: string,
|
||||
current?: number,
|
||||
total?: number,
|
||||
) => {
|
||||
const notification = notifications.value.find((n) => n.id === id)
|
||||
if (notification) {
|
||||
notification.detailTitle = detailTitle
|
||||
notification.detailMessage = detailMessage
|
||||
if (current !== undefined && total !== undefined) {
|
||||
notification.progress = Math.round((current / total) * 100)
|
||||
notification.message = `${current}/${total}`
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 更新通知的主标题
|
||||
const updateNotificationTitle = (id: string, title: string) => {
|
||||
const notification = notifications.value.find((n) => n.id === id)
|
||||
if (notification) {
|
||||
notification.title = title
|
||||
}
|
||||
}
|
||||
|
||||
const clear = () => {
|
||||
notifications.value.forEach((n) => n.onClose?.())
|
||||
notifications.value = []
|
||||
}
|
||||
|
||||
return {
|
||||
notifications,
|
||||
addNotification,
|
||||
removeNotification,
|
||||
success,
|
||||
warning,
|
||||
info,
|
||||
error,
|
||||
progress,
|
||||
updateProgress,
|
||||
updateProgressDetail,
|
||||
updateNotificationTitle,
|
||||
clear,
|
||||
}
|
||||
}
|
||||
@@ -1,44 +1,28 @@
|
||||
<script setup lang="ts">
|
||||
import { ref, onMounted, onUnmounted, computed, reactive, nextTick } from 'vue'
|
||||
import { ref, onMounted, computed, reactive } from 'vue'
|
||||
|
||||
import SvgIcon from '@/components/SvgIcon/index.vue'
|
||||
import { useAgentsStore, useConfigStore, useSelectionStore } from '@/stores'
|
||||
import { useAgentsStore, useConfigStore } from '@/stores'
|
||||
import api from '@/api'
|
||||
import websocket from '@/utils/websocket'
|
||||
import { changeBriefs } from '@/utils/collaboration_Brief_FrontEnd.ts'
|
||||
import { useNotification } from '@/composables/useNotification'
|
||||
import AssignmentButton from './TaskTemplate/TaskSyllabus/components/AssignmentButton.vue'
|
||||
import { withRetry } from '@/utils/retry'
|
||||
import UnifiedSettingsPanel from './TaskTemplate/UnifiedSettingsPanel.vue'
|
||||
import { Setting } from '@element-plus/icons-vue'
|
||||
import { ElMessage } from 'element-plus'
|
||||
import { log } from '@jsplumb/browser-ui'
|
||||
import ProcessCard from './TaskTemplate/TaskProcess/ProcessCard.vue'
|
||||
import AgentAllocation from './TaskTemplate/TaskSyllabus/components/AgentAllocation.vue'
|
||||
|
||||
const emit = defineEmits<{
|
||||
(e: 'search-start'): void
|
||||
(e: 'search', value: string): void
|
||||
(e: 'open-history'): void
|
||||
}>()
|
||||
|
||||
const agentsStore = useAgentsStore()
|
||||
const configStore = useConfigStore()
|
||||
const selectionStore = useSelectionStore()
|
||||
const { success, warning, error: notifyError } = useNotification()
|
||||
const searchValue = ref('')
|
||||
const triggerOnFocus = ref(true)
|
||||
const isFocus = ref(false)
|
||||
const hasAutoSearched = ref(false)
|
||||
const isExpanded = ref(false)
|
||||
const isFillingSteps = ref(false)
|
||||
const isStopping = ref(false)
|
||||
const isStopPending = ref(false)
|
||||
const currentStepAbortController = ref<{ cancel: () => void } | null>(null)
|
||||
const currentGenerationId = ref('')
|
||||
const currentTaskID = ref('') // 后端数据库主键
|
||||
|
||||
// 监听 currentTaskID 变化，同步到全局变量（供分支保存使用）
|
||||
watch(currentTaskID, newVal => {
|
||||
;(window as any).__CURRENT_TASK_ID__ = newVal || ''
|
||||
})
|
||||
|
||||
const currentPlanOutline = ref<any>(null) // 用于恢复的完整大纲数据
|
||||
const hasAutoSearched = ref(false) // 防止重复自动搜索
|
||||
const agentAllocationVisible = ref(false) // 智能体分配弹窗是否可见
|
||||
const isExpanded = ref(false) // 控制搜索框是否展开
|
||||
|
||||
// 解析URL参数
|
||||
function getUrlParam(param: string): string | null {
|
||||
@@ -46,12 +30,6 @@ function getUrlParam(param: string): string | null {
|
||||
return urlParams.get(param)
|
||||
}
|
||||
|
||||
const planReady = computed(() => {
|
||||
return agentsStore.agentRawPlan.data !== undefined
|
||||
})
|
||||
const openAgentAllocationDialog = () => {
|
||||
agentsStore.openAgentAllocationDialog()
|
||||
}
|
||||
// 自动搜索函数
|
||||
async function autoSearchFromUrl() {
|
||||
const query = getUrlParam('q')
|
||||
@@ -68,304 +46,52 @@ async function autoSearchFromUrl() {
|
||||
}
|
||||
}
|
||||
|
||||
// 智能体分配
|
||||
// 处理智能体分配点击事件
|
||||
function handleAgentAllocation() {
|
||||
agentAllocationVisible.value = true
|
||||
}
|
||||
|
||||
// 关闭智能体分配弹窗
|
||||
function handleAgentAllocationClose() {
|
||||
agentAllocationVisible.value = false
|
||||
}
|
||||
|
||||
// 处理获取焦点事件
|
||||
function handleFocus() {
|
||||
isFocus.value = true
|
||||
isExpanded.value = true // 搜索框展开
|
||||
}
|
||||
|
||||
const taskContainerRef = ref<HTMLDivElement | null>(null)
|
||||
|
||||
// 处理失去焦点事件
|
||||
function handleBlur() {
|
||||
isFocus.value = false
|
||||
// 延迟收起搜索框，以便点击按钮等操作
|
||||
setTimeout(() => {
|
||||
isExpanded.value = false
|
||||
resetTextareaHeight()
|
||||
}, 200)
|
||||
}
|
||||
|
||||
// 预加载所有任务的智能体评分数据
|
||||
async function preloadAllTaskAgentScores(outlineData: any, goal: string, TaskID: string) {
|
||||
const tasks = outlineData['Collaboration Process'] || []
|
||||
|
||||
if (tasks.length === 0) {
|
||||
return
|
||||
}
|
||||
|
||||
for (const task of tasks) {
|
||||
// 检查是否已停止
|
||||
if (agentsStore.isStopping || agentsStore.hasStoppedFilling) {
|
||||
async function handleSearch() {
|
||||
try {
|
||||
triggerOnFocus.value = false
|
||||
if (!searchValue.value) {
|
||||
ElMessage.warning('请输入搜索内容')
|
||||
return
|
||||
}
|
||||
|
||||
// 确保任务有唯一ID
|
||||
if (!task.Id) {
|
||||
task.Id = `task-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`
|
||||
}
|
||||
|
||||
// 调用初始化接口获取评分数据
|
||||
try {
|
||||
const agentScores = await api.agentSelectModifyInit({
|
||||
goal: goal,
|
||||
stepTask: {
|
||||
Id: task.Id, // 小任务步骤ID，用于数据库存储
|
||||
StepName: task.StepName,
|
||||
TaskContent: task.TaskContent,
|
||||
InputObject_List: task.InputObject_List,
|
||||
OutputObject: task.OutputObject
|
||||
},
|
||||
TaskID: TaskID // 后端数据库主键（大任务ID）
|
||||
})
|
||||
|
||||
// 提取维度列表并存储
|
||||
const firstAgent = Object.keys(agentScores)[0]
|
||||
const aspectList = firstAgent ? Object.keys(agentScores[firstAgent] || {}) : []
|
||||
|
||||
agentsStore.setTaskScoreData(task.Id, {
|
||||
aspectList,
|
||||
agentScores
|
||||
})
|
||||
} catch (error) {
|
||||
console.error(`❌ 任务 "${task.StepName}" 的评分数据预加载失败:`, error)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 重置文本区域高度到最小行数
|
||||
function resetTextareaHeight() {
|
||||
nextTick(() => {
|
||||
// 获取textarea元素
|
||||
const textarea =
|
||||
document.querySelector('#task-container .el-textarea__inner') ||
|
||||
document.querySelector('#task-container textarea')
|
||||
|
||||
if (textarea instanceof HTMLElement) {
|
||||
// 强制设置最小高度
|
||||
textarea.style.height = 'auto'
|
||||
textarea.style.minHeight = '56px'
|
||||
textarea.style.overflowY = 'hidden'
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
// 停止填充数据的处理函数
|
||||
async function handleStop() {
|
||||
// 检查是否有正在进行的生成任务
|
||||
if (!isFillingSteps.value) {
|
||||
warning('提示', '没有正在进行的生成任务')
|
||||
return
|
||||
}
|
||||
|
||||
// 先设置停止状态（立即显示"停止中..."）
|
||||
agentsStore.setIsStopping(true)
|
||||
isStopping.value = true
|
||||
isStopPending.value = true
|
||||
success('提示', '正在停止，请稍候...')
|
||||
|
||||
// 发送停止请求（不等待响应，后端设置 should_stop = True）
|
||||
if (websocket.connected && currentGenerationId.value) {
|
||||
websocket
|
||||
.send('stop_generation', {
|
||||
generation_id: currentGenerationId.value
|
||||
})
|
||||
.then((result: any) => {
|
||||
console.log('停止生成响应:', result)
|
||||
})
|
||||
.catch((error: any) => {
|
||||
console.log('停止生成请求失败（可能已经停止）:', error?.message)
|
||||
})
|
||||
}
|
||||
// 不清空 currentGenerationId，让 fillStepTask 循环检查 isStopping 来停止
|
||||
}
|
||||
|
||||
// 监听后端发送的停止完成事件（备用，如果后端有发送）
|
||||
function onGenerationStopped() {
|
||||
isStopping.value = false
|
||||
isStopPending.value = false
|
||||
currentGenerationId.value = ''
|
||||
success('成功', '已停止生成')
|
||||
}
|
||||
|
||||
// 处理按钮点击事件
|
||||
function handleButtonClick() {
|
||||
if (isFillingSteps.value) {
|
||||
handleStop()
|
||||
} else {
|
||||
handleSearch()
|
||||
}
|
||||
}
|
||||
|
||||
// 处理搜索函数
|
||||
async function handleSearch() {
|
||||
triggerOnFocus.value = false
|
||||
if (!searchValue.value) {
|
||||
warning('提示', '请输入搜索内容')
|
||||
return
|
||||
}
|
||||
emit('search-start')
|
||||
|
||||
// 重置所有状态（处理可能的上一次未完成的停止操作）
|
||||
isStopping.value = false
|
||||
isStopPending.value = false
|
||||
agentsStore.setIsStopping(false)
|
||||
agentsStore.setHasStoppedFilling(false)
|
||||
|
||||
agentsStore.resetAgent()
|
||||
agentsStore.setAgentRawPlan({ loading: true })
|
||||
|
||||
// 重置 generation_id
|
||||
currentGenerationId.value = ''
|
||||
|
||||
// 获取大纲
|
||||
const response = await api.generateBasePlan({
|
||||
goal: searchValue.value,
|
||||
inputs: []
|
||||
})
|
||||
|
||||
// WebSocket 返回格式: { data: { task_id, generation_id, basePlan }, generation_id, execution_id }
|
||||
// REST API 返回格式: {...}
|
||||
// 提取真正的outline数据
|
||||
let outlineData: any
|
||||
if (response?.data?.basePlan) {
|
||||
// WebSocket新格式：数据嵌套在basePlan中
|
||||
outlineData = response.data.basePlan
|
||||
currentGenerationId.value = response.data.generation_id || ''
|
||||
currentTaskID.value = response.data.task_id || ''
|
||||
console.log(
|
||||
'📋 WebSocket格式: 从basePlan提取数据, generation_id:',
|
||||
currentGenerationId.value,
|
||||
'TaskID:',
|
||||
currentTaskID.value
|
||||
)
|
||||
} else if (response?.data) {
|
||||
// 可能是WebSocket旧格式或REST API格式
|
||||
outlineData = response.data
|
||||
currentGenerationId.value = response.generation_id || ''
|
||||
// 从 response.data 中获取 task_id（REST API 格式）
|
||||
currentTaskID.value = response.data?.task_id || response.task_id || ''
|
||||
console.log(
|
||||
'📋 直接格式: generation_id:',
|
||||
currentGenerationId.value,
|
||||
'TaskID:',
|
||||
currentTaskID.value
|
||||
)
|
||||
} else {
|
||||
outlineData = response
|
||||
currentGenerationId.value = ''
|
||||
currentTaskID.value = ''
|
||||
}
|
||||
|
||||
// 处理简报数据格式
|
||||
outlineData['Collaboration Process'] = changeBriefs(outlineData['Collaboration Process'])
|
||||
|
||||
// 立即显示大纲
|
||||
agentsStore.setAgentRawPlan({ data: outlineData, loading: false })
|
||||
emit('search', searchValue.value)
|
||||
|
||||
// 预加载所有任务的智能体评分数据
|
||||
preloadAllTaskAgentScores(outlineData, searchValue.value, currentTaskID.value)
|
||||
|
||||
// 填充步骤详情
|
||||
isFillingSteps.value = true
|
||||
const steps = outlineData['Collaboration Process'] || []
|
||||
|
||||
// 保存 generation_id 和 TaskID 到本地变量，用于 fillStepTask 调用
|
||||
// 这样即使前端停止时清空了 currentGenerationId，当前的 fillStepTask 仍能正确停止
|
||||
const fillTaskGenerationId = currentGenerationId.value
|
||||
const fillTaskTaskID = currentTaskID.value
|
||||
|
||||
console.log('📋 开始填充步骤详情', {
|
||||
generationId: fillTaskGenerationId,
|
||||
TaskID: fillTaskTaskID,
|
||||
stepsCount: steps.length
|
||||
})
|
||||
|
||||
// 串行填充所有步骤的详情
|
||||
try {
|
||||
for (const step of steps) {
|
||||
// 检查是否已停止
|
||||
if (!isFillingSteps.value || agentsStore.isStopping) {
|
||||
break
|
||||
}
|
||||
|
||||
await withRetry(
|
||||
async () => {
|
||||
console.log(`📤 调用 fillStepTask: 步骤=${step.StepName}, TaskID=${fillTaskTaskID}`)
|
||||
const detailedStep = await api.fillStepTask({
|
||||
goal: searchValue.value,
|
||||
stepTask: {
|
||||
StepName: step.StepName,
|
||||
TaskContent: step.TaskContent,
|
||||
InputObject_List: step.InputObject_List,
|
||||
OutputObject: step.OutputObject,
|
||||
Id: step.Id // 传递步骤ID用于后端定位
|
||||
},
|
||||
generation_id: fillTaskGenerationId,
|
||||
TaskID: fillTaskTaskID // 后端数据库主键
|
||||
})
|
||||
console.log(`📥 fillStepTask 返回完成: 步骤=${step.StepName}`)
|
||||
updateStepDetail(step.StepName, detailedStep)
|
||||
},
|
||||
{
|
||||
maxRetries: 2, // 减少重试次数，因为是串行填充
|
||||
initialDelayMs: 1000, // 使用较小的延迟
|
||||
shouldRetry: () => isFillingSteps.value && !agentsStore.isStopping // 可取消的重试
|
||||
}
|
||||
)
|
||||
}
|
||||
|
||||
// 填充完成后，重新保存分支数据（同步最新的大纲数据）
|
||||
// 只有在没有停止且成功完成时才执行
|
||||
if (isFillingSteps.value && !agentsStore.isStopping && fillTaskTaskID) {
|
||||
try {
|
||||
// 先从主大纲同步最新数据到分支
|
||||
const mainOutlineTasks = agentsStore.agentRawPlan.data?.['Collaboration Process'] || []
|
||||
selectionStore.syncBranchTasksFromMainOutline(mainOutlineTasks)
|
||||
// 再保存到数据库
|
||||
await selectionStore.saveBranchesToDB(fillTaskTaskID)
|
||||
console.log('✅ 步骤填充完成，分支数据已同步更新')
|
||||
} catch (error) {
|
||||
console.error('同步分支数据失败:', error)
|
||||
}
|
||||
}
|
||||
} finally {
|
||||
// 重置状态（确保即使出错也会执行）
|
||||
triggerOnFocus.value = true
|
||||
if (isStopPending.value) {
|
||||
isStopping.value = false
|
||||
isStopPending.value = false
|
||||
agentsStore.setIsStopping(false)
|
||||
agentsStore.setHasStoppedFilling(true)
|
||||
}
|
||||
isFillingSteps.value = false
|
||||
currentStepAbortController.value = null
|
||||
// 只有在没有停止请求时才清空 generation_id
|
||||
if (!isStopPending.value) {
|
||||
currentGenerationId.value = ''
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
//更新单个步骤的详情
|
||||
function updateStepDetail(stepId: string, detailedStep: any) {
|
||||
const planData = agentsStore.agentRawPlan.data
|
||||
if (!planData) return
|
||||
|
||||
const collaborationProcess = planData['Collaboration Process']
|
||||
if (!collaborationProcess) return
|
||||
|
||||
const index = collaborationProcess.findIndex((s: any) => s.StepName === stepId)
|
||||
if (index !== -1 && collaborationProcess[index]) {
|
||||
// 保持响应式更新
|
||||
Object.assign(collaborationProcess[index], {
|
||||
AgentSelection: detailedStep.AgentSelection || [],
|
||||
TaskProcess: detailedStep.TaskProcess || [],
|
||||
Collaboration_Brief_frontEnd: detailedStep.Collaboration_Brief_frontEnd || {
|
||||
template: '',
|
||||
data: {}
|
||||
}
|
||||
emit('search-start')
|
||||
agentsStore.resetAgent()
|
||||
agentsStore.setAgentRawPlan({ loading: true })
|
||||
const data = await api.generateBasePlan({
|
||||
goal: searchValue.value,
|
||||
inputs: []
|
||||
})
|
||||
data['Collaboration Process'] = changeBriefs(data['Collaboration Process'])
|
||||
agentsStore.setAgentRawPlan({ data })
|
||||
emit('search', searchValue.value)
|
||||
} finally {
|
||||
triggerOnFocus.value = true
|
||||
agentsStore.setAgentRawPlan({ loading: false })
|
||||
}
|
||||
}
|
||||
|
||||
@@ -373,7 +99,7 @@ const querySearch = (queryString: string, cb: (v: { value: string }[]) => void)
|
||||
const results = queryString
|
||||
? configStore.config.taskPromptWords.filter(createFilter(queryString))
|
||||
: configStore.config.taskPromptWords
|
||||
// 调用回调函数返回建议列表
|
||||
// call callback function to return suggestions
|
||||
cb(results.map(item => ({ value: item })))
|
||||
}
|
||||
|
||||
@@ -383,167 +109,11 @@ const createFilter = (queryString: string) => {
|
||||
}
|
||||
}
|
||||
|
||||
const taskContainerRef = ref<HTMLDivElement | null>(null)
|
||||
|
||||
// 组件挂载时检查URL参数
|
||||
onMounted(() => {
|
||||
autoSearchFromUrl()
|
||||
websocket.on('generation_stopped', onGenerationStopped)
|
||||
})
|
||||
|
||||
// 组件卸载时移除事件监听
|
||||
onUnmounted(() => {
|
||||
websocket.off('generation_stopped', onGenerationStopped)
|
||||
})
|
||||
|
||||
// 打开历史记录弹窗
|
||||
const openHistoryDialog = () => {
|
||||
emit('open-history')
|
||||
}
|
||||
|
||||
// 从历史记录恢复任务
|
||||
const restoreFromHistory = (plan: any) => {
|
||||
// 1. 设置搜索值为历史任务的目标
|
||||
searchValue.value = plan.general_goal
|
||||
|
||||
// 3. 设置当前任务的 task_id（供分支保存使用）
|
||||
currentTaskID.value = plan.id || ''
|
||||
if (plan.id) {
|
||||
;(window as any).__CURRENT_TASK_ID__ = plan.id
|
||||
console.log('♻️ [Task] 已设置 currentTaskID:', currentTaskID.value)
|
||||
}
|
||||
|
||||
// 4. 设置分支初始化标记，告诉 PlanModification.vue 这是从历史记录恢复
|
||||
// 这样 initializeFlow 会走"恢复分支"逻辑，而不是"首次初始化"
|
||||
sessionStorage.setItem('plan-modification-branches-initialized', 'true')
|
||||
|
||||
// 4. 保存完整的任务大纲数据
|
||||
currentPlanOutline.value = plan.task_outline || null
|
||||
|
||||
// 4. 如果有 agents_info，更新到 store
|
||||
if (plan.agents_info && Array.isArray(plan.agents_info)) {
|
||||
agentsStore.setAgents(plan.agents_info)
|
||||
}
|
||||
|
||||
// 5. 如果有智能体评分数据，更新到 store
|
||||
if (plan.agent_scores && currentPlanOutline.value) {
|
||||
const tasks = currentPlanOutline.value['Collaboration Process'] || []
|
||||
console.log(
|
||||
'🔍 [Task] 所有步骤名称:',
|
||||
tasks.map((t: any) => t.StepName)
|
||||
)
|
||||
console.log('🔍 [Task] agent_scores 的 key:', Object.keys(plan.agent_scores))
|
||||
|
||||
for (const task of tasks) {
|
||||
// 使用 task.Id 作为 key
|
||||
const taskId = task.Id
|
||||
console.log(`🔍 [Task] 步骤使用 taskId: ${taskId}`)
|
||||
console.log(`🔍 [Task] plan.agent_scores[taskId] =`, plan.agent_scores[taskId])
|
||||
|
||||
if (taskId && plan.agent_scores[taskId]) {
|
||||
const stepScores = plan.agent_scores[taskId]
|
||||
console.log(`✅ [Task] 找到步骤 ${taskId} 的评分数据`)
|
||||
|
||||
// 后端返回格式: { aspectList: [...], agentScores: { "Agent1": { "Aspect1": {...} } } }
|
||||
// 解构获取 aspectList 和 agentScores
|
||||
const { aspectList, agentScores } = stepScores
|
||||
|
||||
// agentScores 格式: { "Agent1": { "Aspect1": { score, reason } } }
|
||||
// 直接使用，无需转换（已经是前端期望的格式）
|
||||
console.log(`🔍 [Task] 步骤 ${taskId} 的 agentScores:`, agentScores)
|
||||
console.log(`🔍 [Task] 步骤 ${taskId} 的维度列表:`, aspectList)
|
||||
|
||||
// 使用 taskId 作为 key 存储
|
||||
console.log(`🔍 [Task] 调用 setTaskScoreData: taskId=${taskId}`)
|
||||
agentsStore.setTaskScoreData(taskId, {
|
||||
aspectList,
|
||||
agentScores
|
||||
})
|
||||
console.log(`🔍 [Task] setTaskScoreData 完成，检查存储结果:`)
|
||||
const storedData = agentsStore.getTaskScoreData(taskId)
|
||||
console.log(` taskId=${taskId} 的存储结果:`, storedData)
|
||||
} else {
|
||||
console.log(`❌ [Task] 未找到步骤 "${taskId}" 的评分数据，尝试用 StepName 查找`)
|
||||
// 兼容处理：如果找不到，尝试用 StepName
|
||||
const stepName = task.StepName
|
||||
if (stepName && plan.agent_scores[stepName]) {
|
||||
console.log(`✅ [Task] 兼容模式：使用 StepName ${stepName} 找到评分数据`)
|
||||
const stepScores = plan.agent_scores[stepName]
|
||||
// 后端返回格式: { aspectList: [...], agentScores: {...} }
|
||||
const { aspectList, agentScores } = stepScores
|
||||
agentsStore.setTaskScoreData(taskId, {
|
||||
aspectList,
|
||||
agentScores
|
||||
})
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 6. 将完整的大纲数据设置到 store（跳过重新生成）
|
||||
if (currentPlanOutline.value) {
|
||||
agentsStore.setAgentRawPlan({
|
||||
data: currentPlanOutline.value,
|
||||
loading: false
|
||||
})
|
||||
}
|
||||
|
||||
// 7. 如果有分支数据，恢复到 selection store
|
||||
if (plan.branches && Array.isArray(plan.branches)) {
|
||||
// 旧格式：数组，恢复任务大纲探索分支
|
||||
console.log('♻️ [Task] 恢复分支数据:', { count: plan.branches.length })
|
||||
selectionStore.restoreBranchesFromDB(plan.branches)
|
||||
} else if (plan.branches && typeof plan.branches === 'object') {
|
||||
// 新格式：对象，可能包含 flow_branches 和 task_process_branches
|
||||
// 恢复任务大纲探索分支
|
||||
if (plan.branches.flow_branches && Array.isArray(plan.branches.flow_branches)) {
|
||||
console.log('♻️ [Task] 恢复任务大纲探索分支:', { count: plan.branches.flow_branches.length })
|
||||
selectionStore.restoreBranchesFromDB(plan.branches.flow_branches)
|
||||
}
|
||||
|
||||
// 恢复任务过程分支
|
||||
if (
|
||||
plan.branches.task_process_branches &&
|
||||
typeof plan.branches.task_process_branches === 'object'
|
||||
) {
|
||||
console.log('♻️ [Task] 恢复任务过程分支:', {
|
||||
stepCount: Object.keys(plan.branches.task_process_branches).length
|
||||
})
|
||||
selectionStore.restoreTaskProcessBranchesFromDB(plan.branches.task_process_branches)
|
||||
}
|
||||
}
|
||||
|
||||
// 8. 如果有 agent 组合数据，恢复到 selection store
|
||||
if (plan.assigned_agents && typeof plan.assigned_agents === 'object') {
|
||||
console.log('♻️ [Task] 恢复 agent 组合数据:', plan.assigned_agents)
|
||||
selectionStore.restoreAgentCombinationsFromDB(plan.assigned_agents, plan.id)
|
||||
}
|
||||
|
||||
// 9. 如果有 rehearsal_log，恢复执行结果
|
||||
if (plan.rehearsal_log && Array.isArray(plan.rehearsal_log)) {
|
||||
console.log('♻️ [Task] 恢复执行结果:', { count: plan.rehearsal_log.length })
|
||||
// rehearsal_log 本身就是 IExecuteRawResponse 格式的数组
|
||||
agentsStore.setExecutePlan(plan.rehearsal_log)
|
||||
}
|
||||
|
||||
// 10. 触发搜索事件
|
||||
emit('search', plan.general_goal)
|
||||
|
||||
success('成功', '已恢复历史任务')
|
||||
}
|
||||
|
||||
// 设置面板引用
|
||||
const unifiedSettingsPanelRef = ref<InstanceType<typeof UnifiedSettingsPanel> | null>(null)
|
||||
|
||||
// 打开设置面板
|
||||
const openSettingsPanel = () => {
|
||||
unifiedSettingsPanelRef.value?.open()
|
||||
}
|
||||
|
||||
// 暴露给父组件
|
||||
defineExpose({
|
||||
currentTaskID,
|
||||
openHistoryDialog,
|
||||
restoreFromHistory,
|
||||
openSettingsPanel
|
||||
})
|
||||
</script>
|
||||
|
||||
@@ -563,12 +133,10 @@ defineExpose({
|
||||
>
|
||||
<span class="text-[var(--color-text-task)] font-bold task-title">任务</span>
|
||||
<el-autocomplete
|
||||
ref="autocompleteRef"
|
||||
v-model.trim="searchValue"
|
||||
class="task-input"
|
||||
size="large"
|
||||
:rows="1"
|
||||
:autosize="{ minRows: 1, maxRows: 10 }"
|
||||
:rows="isFocus ? 3 : 1"
|
||||
placeholder="请输入您的任务"
|
||||
type="textarea"
|
||||
:append-to="taskContainerRef"
|
||||
@@ -576,7 +144,6 @@ defineExpose({
|
||||
@change="agentsStore.setSearchValue"
|
||||
:disabled="!(agentsStore.agents.length > 0)"
|
||||
:debounce="0"
|
||||
:clearable="true"
|
||||
:trigger-on-focus="triggerOnFocus"
|
||||
@focus="handleFocus"
|
||||
@blur="handleBlur"
|
||||
@@ -587,33 +154,37 @@ defineExpose({
|
||||
class="task-button"
|
||||
color="linear-gradient(to right, #00C7D2, #315AB4)"
|
||||
size="large"
|
||||
:title="isFillingSteps && !isStopping ? '点击停止生成' : '点击搜索任务'"
|
||||
title="点击搜索任务"
|
||||
circle
|
||||
:loading="agentsStore.agentRawPlan.loading || isStopping"
|
||||
:disabled="!searchValue || isStopping"
|
||||
@click.stop="handleButtonClick"
|
||||
:loading="agentsStore.agentRawPlan.loading"
|
||||
:disabled="!searchValue"
|
||||
@click.stop="handleSearch"
|
||||
>
|
||||
<SvgIcon
|
||||
v-if="!agentsStore.agentRawPlan.loading && !isFillingSteps && !isStopping"
|
||||
v-if="!agentsStore.agentRawPlan.loading"
|
||||
icon-class="paper-plane"
|
||||
size="18px"
|
||||
color="#ffffff"
|
||||
/>
|
||||
<SvgIcon
|
||||
v-if="!agentsStore.agentRawPlan.loading && isFillingSteps && !isStopping"
|
||||
icon-class="stoprunning"
|
||||
size="30px"
|
||||
color="#ffffff"
|
||||
/>
|
||||
</el-button>
|
||||
</div>
|
||||
<!-- <AssignmentButton v-if="planReady" @click="openAgentAllocationDialog" /> -->
|
||||
<!-- 设置按钮 -->
|
||||
<el-button class="setting-button" circle title="设置" @click="openSettingsPanel">
|
||||
<el-icon size="18px"><Setting /></el-icon>
|
||||
</el-button>
|
||||
<!-- 统一设置面板 -->
|
||||
<UnifiedSettingsPanel ref="unifiedSettingsPanelRef" />
|
||||
<!-- 智能体分配 -->
|
||||
<!-- <div class="agent-allocation-entry" @click="handleAgentAllocation" title="智能体分配">
|
||||
<SvgIcon icon-class="agent-change" size="20px" color="var(--color-bg)" />
|
||||
</div> -->
|
||||
|
||||
<!-- 智能体分配弹窗 -->
|
||||
<el-dialog
|
||||
v-model="agentAllocationVisible"
|
||||
width="70%"
|
||||
top="10vh"
|
||||
:close-on-click-modal="false"
|
||||
:close-on-press-escape="true"
|
||||
:show-close="false"
|
||||
custom-class="agent-allocation-dialog"
|
||||
>
|
||||
<AgentAllocation @close="handleAgentAllocationClose" />
|
||||
</el-dialog>
|
||||
</div>
|
||||
</el-tooltip>
|
||||
</template>
|
||||
@@ -628,6 +199,7 @@ defineExpose({
|
||||
width: 40%;
|
||||
margin: 0 auto;
|
||||
border: 2px solid transparent;
|
||||
$bg: var(--el-input-bg-color, var(--el-fill-color-blank));
|
||||
background: linear-gradient(var(--color-bg-taskbar), var(--color-bg-taskbar)) padding-box,
|
||||
linear-gradient(to right, #00c8d2, #315ab4) border-box;
|
||||
border-radius: 30px;
|
||||
@@ -643,19 +215,6 @@ defineExpose({
|
||||
/* 搜索框展开时的样式 */
|
||||
&.expanded {
|
||||
box-shadow: var(--color-task-shadow);
|
||||
:deep(.el-autocomplete .el-textarea .el-textarea__inner) {
|
||||
overflow-y: auto !important;
|
||||
min-height: 56px !important;
|
||||
}
|
||||
}
|
||||
|
||||
/* 非展开状态时，确保文本区域高度固定 */
|
||||
&:not(.expanded) {
|
||||
:deep(.el-textarea__inner) {
|
||||
height: 56px !important;
|
||||
overflow-y: hidden !important;
|
||||
min-height: 56px !important;
|
||||
}
|
||||
}
|
||||
|
||||
:deep(.el-popper) {
|
||||
@@ -669,7 +228,6 @@ defineExpose({
|
||||
transition: height 0s ease-in-out;
|
||||
border-top: 1px solid var(--color-border);
|
||||
border-radius: 0;
|
||||
box-shadow: none;
|
||||
|
||||
li {
|
||||
height: 45px;
|
||||
@@ -707,11 +265,6 @@ defineExpose({
|
||||
resize: none;
|
||||
color: var(--color-text-taskbar);
|
||||
|
||||
/* 聚焦时的样式 */
|
||||
.expanded & {
|
||||
overflow-y: auto;
|
||||
}
|
||||
|
||||
&::placeholder {
|
||||
line-height: 1.2;
|
||||
font-size: 18px;
|
||||
@@ -755,20 +308,120 @@ defineExpose({
|
||||
}
|
||||
}
|
||||
|
||||
// 设置按钮
|
||||
.setting-button {
|
||||
.drawer-header {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
width: 100%;
|
||||
.title {
|
||||
font-size: 18px;
|
||||
font-weight: bold;
|
||||
}
|
||||
}
|
||||
|
||||
.process-list {
|
||||
padding: 0 8px;
|
||||
}
|
||||
.process-item {
|
||||
margin-bottom: 16px;
|
||||
padding: 12px;
|
||||
border-radius: 8px;
|
||||
background: var(--color-bg-list);
|
||||
border: 1px solid var(--color-border-default);
|
||||
|
||||
.process-content {
|
||||
display: flex;
|
||||
align-items: flex-start;
|
||||
gap: 8px;
|
||||
|
||||
.agent-tag {
|
||||
display: inline-block;
|
||||
padding: 4px 8px;
|
||||
border-radius: 4px;
|
||||
font-size: 14px;
|
||||
font-weight: 500;
|
||||
white-space: nowrap;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.process-text {
|
||||
line-height: 1.6;
|
||||
font-size: 14px;
|
||||
color: var(--el-text-color-primary);
|
||||
white-space: pre-wrap;
|
||||
}
|
||||
}
|
||||
|
||||
.edit-container {
|
||||
margin-top: 8px;
|
||||
}
|
||||
}
|
||||
|
||||
.process-item:hover {
|
||||
border-color: var(--el-border-color);
|
||||
box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
|
||||
}
|
||||
|
||||
.agent-allocation-entry {
|
||||
position: absolute;
|
||||
right: 70px;
|
||||
top: 28px;
|
||||
transform: translateY(-50%);
|
||||
z-index: 999;
|
||||
background: var(--color-bg-taskbar);
|
||||
border: 1px solid var(--color-border);
|
||||
color: var(--color-text-taskbar);
|
||||
right: 0; /* 顶头 */
|
||||
top: 0;
|
||||
width: 40px;
|
||||
height: 40px;
|
||||
border-radius: 50%;
|
||||
background: #00aaff; /* 纯蓝色背景 */
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
cursor: pointer;
|
||||
box-shadow: 0 2px 6px rgba(0, 170, 255, 0.35);
|
||||
transition: transform 0.2s;
|
||||
|
||||
&:hover {
|
||||
background: var(--color-bg-hover);
|
||||
color: var(--color-text-taskbar);
|
||||
transform: scale(1.08);
|
||||
}
|
||||
&:active {
|
||||
transform: scale(0.96);
|
||||
}
|
||||
}
|
||||
|
||||
// 智能体分配弹窗样式
|
||||
:deep(.agent-allocation-dialog) {
|
||||
.el-dialog {
|
||||
border-radius: 12px;
|
||||
box-shadow: 0 10px 30px rgba(0, 0, 0, 0.2);
|
||||
|
||||
&__header {
|
||||
padding: 16px 20px;
|
||||
border-bottom: 1px solid var(--color-border);
|
||||
margin-right: 0;
|
||||
|
||||
.el-dialog__title {
|
||||
font-size: 18px;
|
||||
font-weight: bold;
|
||||
color: var(--color-text-title);
|
||||
}
|
||||
}
|
||||
|
||||
&__body {
|
||||
padding: 0;
|
||||
max-height: 70vh;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
&__headerbtn {
|
||||
top: 16px;
|
||||
right: 20px;
|
||||
|
||||
.el-dialog__close {
|
||||
color: var(--color-text);
|
||||
font-size: 16px;
|
||||
|
||||
&:hover {
|
||||
color: var(--color-primary);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
</style>
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
<script setup lang="ts">
|
||||
import { computed, reactive } from 'vue'
|
||||
import { computed } from 'vue'
|
||||
import { getActionTypeDisplay, getAgentMapIcon } from '@/layout/components/config.ts'
|
||||
import SvgIcon from '@/components/SvgIcon/index.vue'
|
||||
import { type Agent, useAgentsStore } from '@/stores'
|
||||
@@ -9,20 +9,6 @@ const porps = defineProps<{
|
||||
agentList: Agent[]
|
||||
}>()
|
||||
|
||||
// 每个智能体的标签状态
|
||||
const tabState = reactive<Record<string, 'duty' | 'info'>>({})
|
||||
|
||||
const getTabState = (agentName: string) => {
|
||||
if (!tabState[agentName]) {
|
||||
tabState[agentName] = 'duty' // 默认显示"当前职责"
|
||||
}
|
||||
return tabState[agentName]
|
||||
}
|
||||
|
||||
const setTabState = (agentName: string, tab: 'duty' | 'info') => {
|
||||
tabState[agentName] = tab
|
||||
}
|
||||
|
||||
const taskProcess = computed(() => {
|
||||
const list = agentsStore.currentTask?.TaskProcess ?? []
|
||||
return list.map(item => ({
|
||||
@@ -42,16 +28,14 @@ const agentsStore = useAgentsStore()
|
||||
:class="agentsStore.currentTask?.AgentSelection?.includes(item.Name) ? 'active-card' : ''"
|
||||
>
|
||||
<div class="flex items-center justify-between relative h-[43px]">
|
||||
<!-- 图标区域 -->
|
||||
<div
|
||||
class="w-[44px] h-[44px] rounded-full flex items-center justify-center flex-shrink-0 relative right-[2px] icon-container"
|
||||
:style="{ background: getAgentMapIcon(item.Name).color }"
|
||||
>
|
||||
<svg-icon :icon-class="getAgentMapIcon(item.Name).icon" color="#fff" size="24px" />
|
||||
</div>
|
||||
|
||||
<div class="flex-1 text-[14px] textClass flex flex-col items-end justify-start truncate ml-1">
|
||||
<div class="flex items-center justify-start gap-2 w-full">
|
||||
<div class="flex-1 text-[14px] textClass flex flex-col items-end justify-end truncate ml-1">
|
||||
<div class="flex items-center justify-end gap-2 w-full">
|
||||
<span
|
||||
class="truncate"
|
||||
:style="
|
||||
@@ -84,84 +68,35 @@ const agentsStore = useAgentsStore()
|
||||
<div class="duty-info">
|
||||
<div class="w-full flex justify-center">
|
||||
<div
|
||||
class="rounded-[9px] text-[12px] py-0.5 px-5 text-center my-2 cursor-pointer transition-colors"
|
||||
:class="
|
||||
getTabState(item.Name) === 'info'
|
||||
? 'bg-[var(--color-tab-bg-active)]'
|
||||
: 'bg-[var(--color-tab-bg)]'
|
||||
"
|
||||
:style="{
|
||||
color:
|
||||
getTabState(item.Name) === 'info'
|
||||
? 'var(--color-tab-text)'
|
||||
: 'var(--color-tab-text-inactive)'
|
||||
}"
|
||||
@click="setTabState(item.Name, 'info')"
|
||||
>
|
||||
信息描述
|
||||
</div>
|
||||
<div
|
||||
class="rounded-[9px] text-[12px] py-0.5 px-5 text-center my-2 cursor-pointer transition-colors"
|
||||
:class="
|
||||
getTabState(item.Name) === 'duty'
|
||||
? 'bg-[var(--color-tab-bg-active)]'
|
||||
: 'bg-[var(--color-tab-bg)]'
|
||||
"
|
||||
:style="{
|
||||
color:
|
||||
getTabState(item.Name) === 'duty'
|
||||
? 'var(--color-tab-text)'
|
||||
: 'var(--color-tab-text-inactive)'
|
||||
}"
|
||||
@click="setTabState(item.Name, 'duty')"
|
||||
class="rounded-[9px] bg-[var(--color-bg-quaternary)] text-[12px] py-0.5 px-5 text-center my-2"
|
||||
>
|
||||
当前职责
|
||||
</div>
|
||||
</div>
|
||||
<div class="p-[8px] pt-0">
|
||||
<!-- 信息描述 -->
|
||||
<template v-if="getTabState(item.Name) === 'info'">
|
||||
<!-- 数据空间 -->
|
||||
<div class="text-[12px]">
|
||||
<span class="text-[var(--color-text)] font-bold">数据空间</span>
|
||||
<div class="text-[var(--color-text-secondary)] mt-1">
|
||||
归属于{{ item.Classification }}数据空间
|
||||
<div
|
||||
v-for="(item1, index1) in taskProcess.filter(i => i.AgentName === item.Name)"
|
||||
:key="item1.key"
|
||||
class="text-[12px]"
|
||||
>
|
||||
<div>
|
||||
<div class="mx-1 inline-block h-[14px]">
|
||||
<div
|
||||
:style="{ background: getActionTypeDisplay(item1.ActionType)?.color }"
|
||||
class="w-[6px] h-[6px] rounded-full mt-[7px]"
|
||||
></div>
|
||||
</div>
|
||||
<span :style="{ color: getActionTypeDisplay(item1.ActionType)?.color }"
|
||||
>{{ getActionTypeDisplay(item1.ActionType)?.name }}：</span
|
||||
>
|
||||
<span>{{ item1.Description }}</span>
|
||||
</div>
|
||||
<!-- 分割线 -->
|
||||
<div class="h-[1px] w-full bg-[var(--color-border-default)] my-[8px]"></div>
|
||||
<!-- 介绍 -->
|
||||
<div class="text-[12px]">
|
||||
<span class="text-[var(--color-text)] font-bold">介绍</span>
|
||||
<div class="text-[var(--color-text-secondary)] mt-1">{{ item.Profile }}</div>
|
||||
</div>
|
||||
</template>
|
||||
<!-- 当前职责 -->
|
||||
<template v-else>
|
||||
<div
|
||||
v-for="(item1, index1) in taskProcess.filter(i => i.AgentName === item.Name)"
|
||||
:key="item1.key"
|
||||
class="text-[12px]"
|
||||
>
|
||||
<div>
|
||||
<div class="mx-1 inline-block h-[14px]">
|
||||
<div
|
||||
:style="{ background: getActionTypeDisplay(item1.ActionType)?.color }"
|
||||
class="w-[6px] h-[6px] rounded-full mt-[7px]"
|
||||
></div>
|
||||
</div>
|
||||
<span :style="{ color: getActionTypeDisplay(item1.ActionType)?.color }"
|
||||
>{{ getActionTypeDisplay(item1.ActionType)?.name }}：</span
|
||||
>
|
||||
<span>{{ item1.Description }}</span>
|
||||
</div>
|
||||
<!-- 分割线 -->
|
||||
<div
|
||||
v-if="index1 !== taskProcess.filter(i => i.AgentName === item.Name).length - 1"
|
||||
class="h-[1px] w-full bg-[var(--color-border-default)] my-[8px]"
|
||||
></div>
|
||||
</div>
|
||||
</template>
|
||||
v-if="index1 !== taskProcess.filter(i => i.AgentName === item.Name).length - 1"
|
||||
class="h-[1px] w-full bg-[var(--color-border-default)] my-[8px]"
|
||||
></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -228,10 +163,4 @@ const agentsStore = useAgentsStore()
|
||||
right: 0 !important;
|
||||
margin-left: 0px;
|
||||
}
|
||||
|
||||
// 标签悬浮样式（仅未激活状态）
|
||||
.duty-info .rounded-\[9px\]:not(.bg-\[var\(--color-tab-bg-active\)\]):hover {
|
||||
background: var(--color-tab-bg-hover) !important;
|
||||
color: var(--color-tab-text-hover) !important;
|
||||
}
|
||||
</style>
|
||||
|
||||
@@ -1,38 +1,25 @@
|
||||
<script setup lang="ts">
|
||||
import { ref, computed, onMounted } from 'vue'
|
||||
import { ElNotification } from 'element-plus'
|
||||
import { pick } from 'lodash'
|
||||
|
||||
import api from '@/api/index.ts'
|
||||
|
||||
import SvgIcon from '@/components/SvgIcon/index.vue'
|
||||
import { agentMapDuty } from '@/layout/components/config.ts'
|
||||
import { type Agent, useAgentsStore } from '@/stores'
|
||||
import { readConfig } from '@/utils/readJson.ts'
|
||||
import { useNotification } from '@/composables/useNotification.ts'
|
||||
import AgentRepoList from './AgentRepoList.vue'
|
||||
|
||||
const { error, success } = useNotification()
|
||||
|
||||
const agentsStore = useAgentsStore()
|
||||
|
||||
// 如果agentsStore.agents不存在就读取默认配置的json文件
|
||||
onMounted(async () => {
|
||||
// 先调用 getAgents，获取用户的智能体配置（后端会自动回退到 default_user）
|
||||
const res = await api.getAgents()
|
||||
if (res && res.user_id) {
|
||||
console.log('[AgentRepo] 获取到 user_id:', res.user_id)
|
||||
if (!agentsStore.agents.length) {
|
||||
const res = await readConfig<Agent[]>('agent.json')
|
||||
agentsStore.setAgents(res)
|
||||
}
|
||||
|
||||
// 使用后端返回的智能体配置（数据库有就用数据库的，没有会用 default_user 的）
|
||||
if (res && res.data && res.data.agents && res.data.agents.length > 0) {
|
||||
agentsStore.setAgents(res.data.agents as Agent[])
|
||||
} else if (!agentsStore.agents.length) {
|
||||
// 只有在完全没有数据时才使用默认 json
|
||||
const defaultAgents = await readConfig<Agent[]>('agent.json')
|
||||
agentsStore.setAgents(defaultAgents)
|
||||
}
|
||||
|
||||
await api.setAgents(
|
||||
agentsStore.agents.map(item => pick(item, ['Name', 'Profile', 'Icon', 'Classification', 'apiUrl', 'apiKey', 'apiModel']))
|
||||
)
|
||||
await api.setAgents(agentsStore.agents.map(item => pick(item, ['Name', 'Profile'])))
|
||||
})
|
||||
|
||||
// 上传agent文件
|
||||
@@ -47,77 +34,52 @@ const handleFileSelect = (event: Event) => {
|
||||
if (input.files && input.files[0]) {
|
||||
const file = input.files[0]
|
||||
readFileContent(file)
|
||||
input.value = ''
|
||||
}
|
||||
}
|
||||
|
||||
// 验证API配置：三个字段必须同时存在或同时不存在
|
||||
const validateApiConfig = (agent: any) => {
|
||||
const hasApiUrl = 'apiUrl' in agent
|
||||
const hasApiKey = 'apiKey' in agent
|
||||
const hasApiModel = 'apiModel' in agent
|
||||
|
||||
return hasApiUrl === hasApiKey && hasApiKey === hasApiModel
|
||||
}
|
||||
|
||||
const readFileContent = (file: File) => {
|
||||
const readFileContent = async (file: File) => {
|
||||
const reader = new FileReader()
|
||||
reader.onload = e => {
|
||||
try {
|
||||
const content = e.target?.result as string
|
||||
const jsonData = JSON.parse(content)
|
||||
|
||||
if (!Array.isArray(jsonData)) {
|
||||
ElMessage.error('JSON格式错误: 必须为数组格式')
|
||||
return
|
||||
}
|
||||
|
||||
const validAgents = jsonData.filter(agent => {
|
||||
// 验证必需字段
|
||||
if (!agent.Name || typeof agent.Name !== 'string') {
|
||||
return false
|
||||
}
|
||||
if (!agent.Icon || typeof agent.Icon !== 'string') {
|
||||
return false
|
||||
}
|
||||
if (!agent.Profile || typeof agent.Profile !== 'string') {
|
||||
return false
|
||||
}
|
||||
|
||||
// 验证API配置
|
||||
if (!validateApiConfig(agent)) {
|
||||
return false
|
||||
}
|
||||
|
||||
return true
|
||||
})
|
||||
// 修改发送到后端的数据
|
||||
const processedAgents = validAgents.map(agent => ({
|
||||
Name: agent.Name,
|
||||
Profile: agent.Profile,
|
||||
Icon: agent.Icon,
|
||||
Classification: agent.Classification || '',
|
||||
apiUrl: agent.apiUrl,
|
||||
apiKey: agent.apiKey,
|
||||
apiModel: agent.apiModel
|
||||
}))
|
||||
agentsStore.setAgents(processedAgents)
|
||||
|
||||
// 调用API，saveToDb=true 表示写入数据库
|
||||
api
|
||||
.setAgents(processedAgents, true)
|
||||
.then(() => {
|
||||
success('智能体上传成功')
|
||||
})
|
||||
.catch(() => {
|
||||
error('智能体上传失败')
|
||||
})
|
||||
} catch {
|
||||
error('JSON解析错误')
|
||||
reader.onload = async e => {
|
||||
if (!e.target?.result) {
|
||||
return
|
||||
}
|
||||
try {
|
||||
const json = JSON.parse(e.target.result?.toString?.() ?? '{}')
|
||||
// 处理 JSON 数据
|
||||
if (Array.isArray(json)) {
|
||||
const isValid = json.every(
|
||||
item =>
|
||||
typeof item.Name === 'string' &&
|
||||
typeof item.Icon === 'string' &&
|
||||
typeof item.Profile === 'string'
|
||||
)
|
||||
if (isValid) {
|
||||
// 处理有效的 JSON 数据
|
||||
agentsStore.setAgents(
|
||||
json.map(item => ({
|
||||
Name: item.Name,
|
||||
Icon: item.Icon.replace(/\.png$/, ''),
|
||||
Profile: item.Profile,
|
||||
Classification: item.Classification
|
||||
}))
|
||||
)
|
||||
await api.setAgents(json.map(item => pick(item, ['Name', 'Profile'])))
|
||||
} else {
|
||||
ElNotification.error({
|
||||
title: '错误',
|
||||
message: 'JSON 格式错误'
|
||||
})
|
||||
}
|
||||
} else {
|
||||
console.error('JSON is not an array')
|
||||
ElNotification.error({
|
||||
title: '错误',
|
||||
message: 'JSON 格式错误'
|
||||
})
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(e)
|
||||
}
|
||||
}
|
||||
reader.onerror = () => {
|
||||
error('文件读取错误')
|
||||
}
|
||||
reader.readAsText(file)
|
||||
}
|
||||
@@ -130,24 +92,17 @@ const agentList = computed(() => {
|
||||
data: Agent[]
|
||||
}[] = []
|
||||
const obj: Record<string, Agent[]> = {}
|
||||
|
||||
// 获取当前任务中参与流程的智能体名称列表
|
||||
const selectedAgentNames = agentsStore.currentTask?.AgentSelection ?? []
|
||||
|
||||
if (!agentsStore.agents.length) {
|
||||
return {
|
||||
selected,
|
||||
unselected
|
||||
}
|
||||
}
|
||||
|
||||
for (const agent of agentsStore.agents) {
|
||||
// 如果智能体在当前任务的AgentSelection中，则放入selected数组（置顶显示）
|
||||
if (selectedAgentNames.includes(agent.Name)) {
|
||||
selected.push(agent)
|
||||
continue
|
||||
}
|
||||
// 其他智能体按数据空间分类
|
||||
// if (agentsStore.currentTask?.AgentSelection?.includes(agent.Name)) {
|
||||
// selected.push(agent)
|
||||
// continue
|
||||
// }
|
||||
if (obj[agent.Classification]) {
|
||||
obj[agent.Classification]!.push(agent)
|
||||
} else {
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,429 +0,0 @@
|
||||
<template>
|
||||
<div class="history-list">
|
||||
<!-- 加载状态 -->
|
||||
<div v-if="loading" class="loading">
|
||||
<el-icon class="is-loading"><Loading /></el-icon>
|
||||
<span>加载中...</span>
|
||||
</div>
|
||||
|
||||
<!-- 空状态 -->
|
||||
<el-empty v-else-if="plans.length === 0" description="暂无历史任务" />
|
||||
|
||||
<!-- 任务列表 -->
|
||||
<div v-else class="plan-list">
|
||||
<div
|
||||
v-for="plan in plans"
|
||||
:key="plan.id"
|
||||
class="plan-item"
|
||||
:class="{ active: selectedPlanId === plan.id }"
|
||||
@click="restorePlan(plan)"
|
||||
>
|
||||
<div class="plan-info">
|
||||
<div class="plan-goal">
|
||||
<SvgIcon icon-class="XiaoXi" size="20px" />
|
||||
{{ plan.general_goal || '未知任务' }}
|
||||
</div>
|
||||
</div>
|
||||
<div class="plan-actions">
|
||||
<el-popover
|
||||
:ref="(el: any) => setPopoverRef(plan.id, el)"
|
||||
placement="bottom-end"
|
||||
:show-arrow="false"
|
||||
trigger="click"
|
||||
popper-class="action-popover"
|
||||
>
|
||||
<template #reference>
|
||||
<button class="more-btn" @click.stop>
|
||||
<SvgIcon icon-class="more" class="more-icon" size="16px" />
|
||||
</button>
|
||||
</template>
|
||||
<div class="action-menu">
|
||||
<div class="action-item" @click="handleAction(plan, 'pin')">
|
||||
<SvgIcon icon-class="ZhiDing" size="14px" />
|
||||
<span>{{ plan.is_pinned ? '取消置顶' : '置顶' }}</span>
|
||||
</div>
|
||||
<div class="action-item" @click="handleAction(plan, 'share')">
|
||||
<SvgIcon icon-class="FenXiang" size="14px" />
|
||||
<span>分享</span>
|
||||
</div>
|
||||
<div class="action-item" @click="handleAction(plan, 'delete')">
|
||||
<SvgIcon icon-class="ShanChu" size="14px" />
|
||||
<span>删除</span>
|
||||
</div>
|
||||
</div>
|
||||
</el-popover>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- 删除确认对话框 -->
|
||||
<DeleteConfirmDialog
|
||||
v-model="dialogVisible"
|
||||
title="确认删除该任务 ?"
|
||||
content="删除后，该任务无法恢复 !"
|
||||
@confirm="confirmDelete"
|
||||
/>
|
||||
|
||||
<!-- 分享对话框 -->
|
||||
<SharePlanDialog
|
||||
v-model="shareDialogVisible"
|
||||
:plan-id="sharePlanId"
|
||||
/>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<script setup lang="ts">
|
||||
import { ref, onMounted, onUnmounted } from 'vue'
|
||||
import { ElMessage } from 'element-plus'
|
||||
import { Loading } from '@element-plus/icons-vue'
|
||||
import SvgIcon from '@/components/SvgIcon/index.vue'
|
||||
import DeleteConfirmDialog from '@/components/DeleteConfirmDialog/index.vue'
|
||||
import SharePlanDialog from '@/components/SharePlanDialog/index.vue'
|
||||
import websocket from '@/utils/websocket'
|
||||
|
||||
// 事件定义
|
||||
const emit = defineEmits<{
|
||||
(e: 'restore', plan: PlanInfo): void
|
||||
(e: 'close'): void
|
||||
}>()
|
||||
|
||||
// 数据类型
|
||||
interface PlanInfo {
|
||||
id: string
|
||||
general_goal: string
|
||||
is_pinned?: boolean
|
||||
task_outline?: any
|
||||
assigned_agents?: any
|
||||
agent_scores?: any
|
||||
agents_info?: any[]
|
||||
}
|
||||
|
||||
// 响应式数据
|
||||
const plans = ref<PlanInfo[]>([])
|
||||
const loading = ref(false)
|
||||
const restoring = ref(false)
|
||||
const selectedPlanId = ref<string | null>(null)
|
||||
|
||||
// 删除对话框相关
|
||||
const dialogVisible = ref(false)
|
||||
const planToDelete = ref<PlanInfo | null>(null)
|
||||
const deleting = ref(false)
|
||||
|
||||
// 分享对话框相关
|
||||
const shareDialogVisible = ref(false)
|
||||
const sharePlanId = ref<string>('')
|
||||
|
||||
// Popover 引用管理
|
||||
const popoverRefs = new Map<string, any>()
|
||||
const setPopoverRef = (planId: string, el: any) => {
|
||||
if (el) {
|
||||
popoverRefs.set(planId, el)
|
||||
}
|
||||
}
|
||||
|
||||
// 统一处理操作点击
|
||||
const handleAction = (plan: PlanInfo, action: 'pin' | 'share' | 'delete') => {
|
||||
// 关闭 popover
|
||||
const popover = popoverRefs.get(plan.id)
|
||||
if (popover) {
|
||||
popover.hide()
|
||||
}
|
||||
|
||||
// 延迟执行操作，让 popover 有时间关闭
|
||||
setTimeout(() => {
|
||||
if (action === 'pin') {
|
||||
pinPlan(plan)
|
||||
} else if (action === 'share') {
|
||||
openShareDialog(plan)
|
||||
} else if (action === 'delete') {
|
||||
deletePlan(plan)
|
||||
}
|
||||
}, 100)
|
||||
}
|
||||
|
||||
// 打开分享弹窗
|
||||
const openShareDialog = (plan: PlanInfo) => {
|
||||
sharePlanId.value = plan.id
|
||||
shareDialogVisible.value = true
|
||||
}
|
||||
|
||||
// 生成唯一请求ID
|
||||
let requestIdCounter = 0
|
||||
const generateRequestId = () => `ws_req_${Date.now()}_${++requestIdCounter}`
|
||||
|
||||
// WebSocket 监听器引用（用于清理）
|
||||
const historyUpdatedHandler = () => {
|
||||
console.log('📡 收到历史列表更新通知，自动刷新')
|
||||
fetchPlans()
|
||||
}
|
||||
|
||||
// 获取任务列表
|
||||
const fetchPlans = async () => {
|
||||
loading.value = true
|
||||
const reqId = generateRequestId()
|
||||
const userId = localStorage.getItem('user_id')
|
||||
|
||||
try {
|
||||
const result = await websocket.send('get_plans', { id: reqId, user_id: userId })
|
||||
plans.value = (result.data || []) as PlanInfo[]
|
||||
} catch (error) {
|
||||
console.error('获取任务列表失败:', error)
|
||||
ElMessage.error('获取任务列表失败')
|
||||
} finally {
|
||||
loading.value = false
|
||||
}
|
||||
}
|
||||
|
||||
// 恢复任务
|
||||
const restorePlan = async (plan: PlanInfo) => {
|
||||
if (restoring.value) return
|
||||
|
||||
console.log('🔍 [HistoryList] 恢复计划:', plan)
|
||||
console.log('🔍 [HistoryList] plan.id:', plan.id)
|
||||
|
||||
if (!plan.id) {
|
||||
ElMessage.error('任务 ID 为空，无法恢复')
|
||||
return
|
||||
}
|
||||
|
||||
restoring.value = true
|
||||
selectedPlanId.value = plan.id
|
||||
|
||||
const reqId = generateRequestId()
|
||||
|
||||
try {
|
||||
const result = await websocket.send('restore_plan', {
|
||||
id: reqId,
|
||||
data: { plan_id: plan.id }
|
||||
})
|
||||
const planData = (result.data || result) as any
|
||||
|
||||
// 发送恢复事件
|
||||
emit('restore', {
|
||||
...plan,
|
||||
...planData
|
||||
})
|
||||
|
||||
ElMessage.success('任务已恢复')
|
||||
} catch (error) {
|
||||
console.error('恢复任务失败:', error)
|
||||
ElMessage.error('恢复任务失败')
|
||||
} finally {
|
||||
restoring.value = false
|
||||
}
|
||||
}
|
||||
|
||||
// 置顶/取消置顶任务
|
||||
const pinPlan = async (plan: PlanInfo) => {
|
||||
const newPinnedState = !plan.is_pinned
|
||||
const reqId = generateRequestId()
|
||||
|
||||
try {
|
||||
await websocket.send('pin_plan', {
|
||||
id: reqId,
|
||||
data: { plan_id: plan.id, is_pinned: newPinnedState }
|
||||
})
|
||||
|
||||
ElMessage.success(newPinnedState ? '置顶成功' : '取消置顶成功')
|
||||
// 成功后会自动通过 history_updated 事件刷新列表
|
||||
} catch (error) {
|
||||
console.error('置顶任务失败:', error)
|
||||
ElMessage.error('置顶失败')
|
||||
}
|
||||
}
|
||||
|
||||
// 删除任务
|
||||
const deletePlan = (plan: PlanInfo) => {
|
||||
planToDelete.value = plan
|
||||
dialogVisible.value = true
|
||||
}
|
||||
|
||||
// 确认删除
|
||||
const confirmDelete = async () => {
|
||||
if (!planToDelete.value) return
|
||||
|
||||
deleting.value = true
|
||||
const reqId = generateRequestId()
|
||||
|
||||
try {
|
||||
await websocket.send('delete_plan', {
|
||||
id: reqId,
|
||||
data: { plan_id: planToDelete.value.id }
|
||||
})
|
||||
|
||||
dialogVisible.value = false
|
||||
ElMessage.success('删除成功')
|
||||
// 删除成功后会自动通过 history_updated 事件刷新列表
|
||||
} catch (error) {
|
||||
console.error('删除任务失败:', error)
|
||||
ElMessage.error('删除任务失败')
|
||||
} finally {
|
||||
deleting.value = false
|
||||
}
|
||||
}
|
||||
|
||||
// 生命周期
|
||||
onMounted(() => {
|
||||
fetchPlans()
|
||||
// 监听历史列表更新事件（多标签页实时同步）
|
||||
websocket.on('history_updated', historyUpdatedHandler)
|
||||
})
|
||||
|
||||
onUnmounted(() => {
|
||||
// 移除事件监听
|
||||
websocket.off('history_updated', historyUpdatedHandler)
|
||||
})
|
||||
</script>
|
||||
|
||||
<style scoped lang="scss">
|
||||
.history-list {
|
||||
padding: 16px;
|
||||
height: 100%;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
}
|
||||
|
||||
.loading {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
padding: 40px;
|
||||
color: #909399;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.plan-list {
|
||||
flex: 1;
|
||||
overflow-y: auto;
|
||||
}
|
||||
|
||||
.plan-item {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
padding: 12px;
|
||||
margin-bottom: 8px;
|
||||
border-radius: 8px;
|
||||
background: var(--color-bg-three);
|
||||
cursor: pointer;
|
||||
transition: all 0.2s;
|
||||
|
||||
&:hover {
|
||||
background: var(--color-bg-hover);
|
||||
|
||||
.plan-goal {
|
||||
color: var(--color-text-plan-item-hover);
|
||||
}
|
||||
}
|
||||
|
||||
&.active {
|
||||
background: var(--color-bg-hover);
|
||||
border-left: 3px solid var(--color-primary);
|
||||
}
|
||||
}
|
||||
|
||||
.plan-info {
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
}
|
||||
|
||||
.plan-goal {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
font-size: 14px;
|
||||
font-weight: 500;
|
||||
margin-bottom: 6px;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
color: var(--color-text-plan-item);
|
||||
transition: color 0.2s;
|
||||
}
|
||||
|
||||
.plan-actions {
|
||||
display: flex;
|
||||
gap: 8px;
|
||||
margin-left: 12px;
|
||||
}
|
||||
|
||||
// 更多按钮
|
||||
.more-btn {
|
||||
background: none;
|
||||
border: none;
|
||||
cursor: pointer;
|
||||
padding: 4px;
|
||||
border-radius: 4px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
border-radius: 50%;
|
||||
transition: background-color 0.2s;
|
||||
|
||||
.more-icon {
|
||||
color: var(--color-text-plan-item);
|
||||
transition: color 0.2s;
|
||||
}
|
||||
|
||||
&:hover {
|
||||
background-color: var(--color-card-border-three);
|
||||
border-radius: 50%;
|
||||
|
||||
.more-icon {
|
||||
color: var(--color-text-plan-item-hover);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 操作菜单
|
||||
.action-menu {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
|
||||
:deep(.el-popover__content) {
|
||||
padding: 0;
|
||||
}
|
||||
}
|
||||
|
||||
.action-item {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
padding: 8px 16px;
|
||||
cursor: pointer;
|
||||
font-size: 13px;
|
||||
color: var(--color-text-plan-item);
|
||||
transition: background-color 0.2s, color 0.2s;
|
||||
|
||||
.svg-icon {
|
||||
color: var(--color-text-plan-item);
|
||||
transition: color 0.2s;
|
||||
}
|
||||
|
||||
&:first-child {
|
||||
border-radius: 8px 8px 0 0;
|
||||
}
|
||||
|
||||
&:last-child {
|
||||
border-radius: 0 0 8px 8px;
|
||||
}
|
||||
|
||||
&:hover {
|
||||
background-color: var(--color-card-border-three);
|
||||
color: var(--color-text-plan-item-hover);
|
||||
|
||||
.svg-icon {
|
||||
color: var(--color-text-plan-item-hover);
|
||||
}
|
||||
}
|
||||
}
|
||||
</style>
|
||||
|
||||
<style lang="scss">
|
||||
.action-popover {
|
||||
padding: 0 !important;
|
||||
border-radius: 8px !important;
|
||||
width: 120px !important;
|
||||
min-width: 120px !important;
|
||||
}
|
||||
</style>
|
||||
@@ -1,10 +1,6 @@
|
||||
<script setup lang="ts">
|
||||
import { ref, computed } from 'vue'
|
||||
import { getActionTypeDisplay } from '@/layout/components/config.ts'
|
||||
import { useAgentsStore } from '@/stores'
|
||||
import BranchButton from './components/TaskButton.vue'
|
||||
|
||||
const agentsStore = useAgentsStore()
|
||||
|
||||
const props = defineProps<{
|
||||
step: {
|
||||
@@ -19,72 +15,34 @@ const props = defineProps<{
|
||||
}>()
|
||||
|
||||
const emit = defineEmits<{
|
||||
(e: 'open-edit', stepId: string, processId: string): void
|
||||
(e: 'save-edit', stepId: string, processId: string, value: string): void
|
||||
}>()
|
||||
|
||||
//从 currentTask 中获取数据
|
||||
const currentTaskProcess = computed(() => {
|
||||
const currentTask = agentsStore.currentTask
|
||||
if (currentTask && currentTask.Id === props.step.Id && currentTask.TaskProcess) {
|
||||
return currentTask.TaskProcess
|
||||
}
|
||||
|
||||
//从 agentRawPlan 中获取原始数据
|
||||
const collaborationProcess = agentsStore.agentRawPlan.data?.['Collaboration Process'] || []
|
||||
const rawData = collaborationProcess.find((task: any) => task.Id === props.step.Id)
|
||||
return rawData?.TaskProcess || []
|
||||
})
|
||||
|
||||
// 当前正在编辑的process ID
|
||||
const editingProcessId = ref<string | null>(null)
|
||||
// 编辑框的值
|
||||
const editValue = ref('')
|
||||
// 鼠标悬停的process ID
|
||||
const hoverProcessId = ref<string | null>(null)
|
||||
|
||||
// 处理卡片点击事件
|
||||
function handleCardClick() {
|
||||
// 如果正在编辑，不处理点击
|
||||
if (editingProcessId.value) return
|
||||
|
||||
// 设置当前任务，与任务大纲联动
|
||||
if (props.step.Id) {
|
||||
agentsStore.setCurrentTask(props.step as any)
|
||||
}
|
||||
}
|
||||
|
||||
// 检测当前是否是深色模式
|
||||
function isDarkMode(): boolean {
|
||||
return document.documentElement.classList.contains('dark')
|
||||
}
|
||||
|
||||
// 获取颜色浅两号的函数
|
||||
function getLightColor(color: string, level: number = 2): string {
|
||||
return adjustColor(color, level * 20)
|
||||
}
|
||||
|
||||
// 获取颜色深两号的函数
|
||||
function getDarkColor(color: string, level: number = 2): string {
|
||||
return adjustColor(color, -level * 20)
|
||||
}
|
||||
|
||||
// 通用的颜色调整函数（提取重复逻辑）
|
||||
function adjustColor(color: string, amount: number): string {
|
||||
if (!color || color.length !== 7 || color[0] !== '#') return color
|
||||
|
||||
const r = Math.min(255, Math.max(0, parseInt(color.substr(1, 2), 16) + amount))
|
||||
const g = Math.min(255, Math.max(0, parseInt(color.substr(3, 2), 16) + amount))
|
||||
const b = Math.min(255, Math.max(0, parseInt(color.substr(5, 2), 16) + amount))
|
||||
const r = parseInt(color.substr(1, 2), 16)
|
||||
const g = parseInt(color.substr(3, 2), 16)
|
||||
const b = parseInt(color.substr(5, 2), 16)
|
||||
|
||||
return `#${r.toString(16).padStart(2, '0')}${g.toString(16).padStart(2, '0')}${b
|
||||
// 增加亮度（浅两号）
|
||||
const lightenAmount = level * 20
|
||||
const newR = Math.min(255, r + lightenAmount)
|
||||
const newG = Math.min(255, g + lightenAmount)
|
||||
const newB = Math.min(255, b + lightenAmount)
|
||||
|
||||
return `#${Math.round(newR).toString(16).padStart(2, '0')}${Math.round(newG)
|
||||
.toString(16)
|
||||
.padStart(2, '0')}`
|
||||
}
|
||||
|
||||
// 根据主题模式获取调整后的颜色
|
||||
function getAdjustedColor(color: string, level: number = 2): string {
|
||||
if (isDarkMode()) {
|
||||
return getDarkColor(color, level)
|
||||
} else {
|
||||
return getLightColor(color, level)
|
||||
}
|
||||
.padStart(2, '0')}${Math.round(newB).toString(16).padStart(2, '0')}`
|
||||
}
|
||||
|
||||
// 处理鼠标进入
|
||||
@@ -97,10 +55,11 @@ function handleMouseLeave() {
|
||||
hoverProcessId.value = null
|
||||
}
|
||||
|
||||
// 处理双击编辑
|
||||
// 处理双击编辑（针对单个process）
|
||||
function handleDblClick(processId: string, currentDescription: string) {
|
||||
editingProcessId.value = processId
|
||||
editValue.value = currentDescription
|
||||
emit('open-edit', props.step.Id || '', processId)
|
||||
}
|
||||
|
||||
// 处理保存编辑
|
||||
@@ -120,12 +79,12 @@ function handleCancel() {
|
||||
</script>
|
||||
|
||||
<template>
|
||||
<div class="process-card" @click="handleCardClick">
|
||||
<div class="process-card">
|
||||
<div class="process-content">
|
||||
<!-- 显示模式 -->
|
||||
<div class="display-content">
|
||||
<span
|
||||
v-for="process in currentTaskProcess"
|
||||
v-for="process in step.TaskProcess"
|
||||
:key="process.ID"
|
||||
class="process-segment"
|
||||
@mouseenter="handleMouseEnter(process.ID)"
|
||||
@@ -147,32 +106,32 @@ function handleCancel() {
|
||||
<!-- 编辑模式 - 修改为卡片样式 -->
|
||||
<div v-if="editingProcessId === process.ID" class="edit-container">
|
||||
<div class="edit-card">
|
||||
<div class="flex flex-col gap-3">
|
||||
<el-input
|
||||
v-model="editValue"
|
||||
type="textarea"
|
||||
:autosize="{ minRows: 3, maxRows: 6 }"
|
||||
placeholder="请输入描述内容"
|
||||
autofocus
|
||||
/>
|
||||
<div class="flex justify-end">
|
||||
<svg-icon
|
||||
icon-class="Check"
|
||||
size="20px"
|
||||
color="#328621"
|
||||
class="cursor-pointer mr-4"
|
||||
@click="handleSave(process.ID)"
|
||||
title="保存"
|
||||
/>
|
||||
<svg-icon
|
||||
icon-class="Cancel"
|
||||
size="20px"
|
||||
color="#8e0707"
|
||||
class="cursor-pointer mr-1"
|
||||
@click="handleCancel"
|
||||
title="取消"
|
||||
/>
|
||||
</div>
|
||||
<el-input
|
||||
v-model="editValue"
|
||||
type="textarea"
|
||||
:autosize="{ minRows: 3, maxRows: 6 }"
|
||||
placeholder="请输入描述内容"
|
||||
autofocus
|
||||
/>
|
||||
<div class="edit-buttons">
|
||||
<el-button
|
||||
type="success"
|
||||
size="small"
|
||||
icon="Check"
|
||||
@click="handleSave(process.ID)"
|
||||
title="保存"
|
||||
>
|
||||
√
|
||||
</el-button>
|
||||
<el-button
|
||||
type="danger"
|
||||
size="small"
|
||||
icon="Close"
|
||||
@click="handleCancel"
|
||||
title="取消"
|
||||
>
|
||||
×
|
||||
</el-button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -186,7 +145,7 @@ function handleCancel() {
|
||||
border: `1px solid ${getActionTypeDisplay(process.ActionType)?.border}`,
|
||||
backgroundColor:
|
||||
hoverProcessId === process.ID
|
||||
? getAdjustedColor(getActionTypeDisplay(process.ActionType)?.color || '#909399')
|
||||
? getLightColor(getActionTypeDisplay(process.ActionType)?.color || '#909399')
|
||||
: 'transparent'
|
||||
}"
|
||||
@dblclick="handleDblClick(process.ID, process.Description)"
|
||||
@@ -194,28 +153,21 @@ function handleCancel() {
|
||||
{{ process.Description }}
|
||||
</span>
|
||||
|
||||
<span class="separator" v-if="process.Description && !process.Description.endsWith('。')"
|
||||
>。</span
|
||||
>
|
||||
<span class="separator" v-if="!process.Description.endsWith('。')">。</span>
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
<!-- 按钮点击不会冒泡到卡片 -->
|
||||
<!-- <BranchButton :step="step" /> -->
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<style scoped lang="scss">
|
||||
.process-card {
|
||||
position: relative;
|
||||
margin-bottom: 16px;
|
||||
padding: 16px;
|
||||
border-radius: 8px;
|
||||
background: var(--color-bg-list);
|
||||
border: 1px solid var(--color-border-default);
|
||||
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
|
||||
cursor: pointer;
|
||||
transition: all 0.2s ease;
|
||||
|
||||
.process-content {
|
||||
min-height: 20px;
|
||||
@@ -243,6 +195,8 @@ function handleCancel() {
|
||||
margin-bottom: 8px;
|
||||
|
||||
.edit-card {
|
||||
position: relative;
|
||||
background: #f0f2f5;
|
||||
border-radius: 8px;
|
||||
padding: 16px;
|
||||
box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
|
||||
@@ -259,7 +213,39 @@ function handleCancel() {
|
||||
border-radius: 4px;
|
||||
resize: vertical;
|
||||
min-height: 60px;
|
||||
color: var(--color-text-taskbar);
|
||||
}
|
||||
}
|
||||
|
||||
.edit-buttons {
|
||||
position: absolute;
|
||||
right: 12px;
|
||||
bottom: 8px;
|
||||
display: flex;
|
||||
gap: 8px;
|
||||
|
||||
.el-button {
|
||||
width: 32px;
|
||||
height: 32px;
|
||||
padding: 0;
|
||||
border-radius: 50%;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
font-size: 14px;
|
||||
|
||||
&:first-child {
|
||||
background-color: #67c23a;
|
||||
border-color: #67c23a;
|
||||
}
|
||||
|
||||
&:last-child {
|
||||
background-color: #f56c6c;
|
||||
border-color: #f56c6c;
|
||||
}
|
||||
|
||||
&:hover {
|
||||
transform: scale(1.05);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -272,6 +258,10 @@ function handleCancel() {
|
||||
padding: 2px 4px;
|
||||
border-radius: 3px;
|
||||
transition: background-color 0.2s ease;
|
||||
|
||||
&.hovered {
|
||||
transition: background-color 0.2s ease;
|
||||
}
|
||||
}
|
||||
|
||||
.separator {
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,138 +0,0 @@
|
||||
<script setup lang="ts">
|
||||
import { computed } from 'vue'
|
||||
import { useAgentsStore, useSelectionStore } from '@/stores'
|
||||
|
||||
const agentsStore = useAgentsStore()
|
||||
const selectionStore = useSelectionStore()
|
||||
const emit = defineEmits<{
|
||||
(e: 'click'): void
|
||||
}>()
|
||||
|
||||
const props = defineProps<{
|
||||
step?: any
|
||||
}>()
|
||||
|
||||
// 获取分支数量
|
||||
const branchCount = computed(() => {
|
||||
if (!props.step?.Id) return 1
|
||||
|
||||
const taskStepId = props.step.Id
|
||||
// 获取该任务的 agent 组合
|
||||
const agents = props.step.AgentSelection || []
|
||||
const branches = selectionStore.getTaskProcessBranches(taskStepId, agents)
|
||||
return branches.length || 1
|
||||
})
|
||||
|
||||
// 判断按钮是否可点击
|
||||
const isClickable = computed(() => {
|
||||
if (!props.step?.Id || !agentsStore.currentTask?.Id) {
|
||||
return false
|
||||
}
|
||||
return props.step.Id === agentsStore.currentTask.Id
|
||||
})
|
||||
|
||||
const handleClick = (event?: MouseEvent) => {
|
||||
if (!isClickable.value) {
|
||||
return
|
||||
}
|
||||
|
||||
// 阻止冒泡，避免触发卡片点击
|
||||
if (event) {
|
||||
event.stopPropagation()
|
||||
}
|
||||
|
||||
emit('click')
|
||||
// 设置当前任务
|
||||
if (props.step) {
|
||||
agentsStore.setCurrentTask(props.step)
|
||||
}
|
||||
agentsStore.openPlanTask()
|
||||
}
|
||||
</script>
|
||||
|
||||
<template>
|
||||
<div
|
||||
class="task-button"
|
||||
:class="{ 'has-branches': branchCount > 1, 'is-disabled': !isClickable }"
|
||||
@click="handleClick"
|
||||
:title="isClickable ? `${branchCount} 个分支` : '请先在任务大纲中选中此任务'"
|
||||
>
|
||||
<!-- 流程图标 -->
|
||||
<svg-icon icon-class="branch" size="20px" class="task-icon" />
|
||||
|
||||
<!-- 分支数量显示 -->
|
||||
<span class="branch-count">
|
||||
{{ branchCount }}
|
||||
</span>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<style scoped lang="scss">
|
||||
.task-button {
|
||||
/* 定位 - 右下角 */
|
||||
position: absolute;
|
||||
right: 0;
|
||||
bottom: 0;
|
||||
|
||||
/* 尺寸 */
|
||||
width: 36px;
|
||||
height: 32px;
|
||||
|
||||
/* 样式 */
|
||||
background-color: #43a8aa;
|
||||
border-radius: 10px 0 0 0;
|
||||
cursor: pointer;
|
||||
user-select: none;
|
||||
z-index: 100;
|
||||
|
||||
/* 布局 */
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
|
||||
/* 交互 */
|
||||
transition: all 0.2s ease;
|
||||
|
||||
&:hover {
|
||||
filter: brightness(0.9);
|
||||
}
|
||||
|
||||
// 禁用状态
|
||||
&.is-disabled {
|
||||
background-color: #bdc3c7;
|
||||
cursor: not-allowed;
|
||||
opacity: 0.6;
|
||||
|
||||
&:hover {
|
||||
filter: none;
|
||||
}
|
||||
}
|
||||
|
||||
&.has-branches::after {
|
||||
content: '';
|
||||
position: absolute;
|
||||
top: -2px;
|
||||
right: -2px;
|
||||
width: 8px;
|
||||
height: 8px;
|
||||
background: #ff6b6b;
|
||||
border-radius: 50%;
|
||||
border: 2px solid white;
|
||||
}
|
||||
}
|
||||
|
||||
.task-icon {
|
||||
color: white;
|
||||
}
|
||||
|
||||
.branch-count {
|
||||
position: absolute;
|
||||
right: 4px;
|
||||
bottom: 2px;
|
||||
font-size: 12px;
|
||||
color: white;
|
||||
font-weight: 800;
|
||||
text-align: right;
|
||||
line-height: 1;
|
||||
}
|
||||
</style>
|
||||
@@ -38,12 +38,11 @@ const data = computed<Data | null>(() => {
|
||||
if (result.NodeId === props.nodeId) {
|
||||
// LogNodeType 为 object直接渲染Content
|
||||
if (result.LogNodeType === 'object') {
|
||||
const data = {
|
||||
return {
|
||||
Description: props.nodeId,
|
||||
Content: sanitize(result.content),
|
||||
LogNodeType: result.LogNodeType
|
||||
}
|
||||
return data
|
||||
}
|
||||
|
||||
if (!result.ActionHistory) {
|
||||
|
||||
@@ -59,7 +59,7 @@ function handlePrev() {
|
||||
<!-- <div>{{ `${displayIndex + 1}/${data.length}` }}</div>
|
||||
<el-button type="primary" size="small" @click="handleNext">下一个</el-button> -->
|
||||
<!-- 关闭 -->
|
||||
<!-- <SvgIcon icon-class="close" size="15px" /> -->
|
||||
<SvgIcon icon-class="close" size="15px" />
|
||||
</div>
|
||||
</div>
|
||||
<!-- 分割线 -->
|
||||
|
||||
@@ -0,0 +1,861 @@
|
||||
<script setup lang="ts">
|
||||
import { computed, onUnmounted, ref } from 'vue'
|
||||
import { throttle } from 'lodash'
|
||||
import { AnchorLocations, BezierConnector } from '@jsplumb/browser-ui'
|
||||
|
||||
import SvgIcon from '@/components/SvgIcon/index.vue'
|
||||
import { getActionTypeDisplay, getAgentMapIcon } from '@/layout/components/config.ts'
|
||||
import { type ConnectArg, Jsplumb } from '@/layout/components/Main/TaskTemplate/utils.ts'
|
||||
import variables from '@/styles/variables.module.scss'
|
||||
import { type IRawStepTask, useAgentsStore } from '@/stores'
|
||||
import api from '@/api'
|
||||
import ProcessCard from '../TaskProcess/ProcessCard.vue'
|
||||
import ExecutePlan from './ExecutePlan.vue'
|
||||
|
||||
const emit = defineEmits<{
|
||||
(e: 'refreshLine'): void
|
||||
(el: 'setCurrentTask', task: IRawStepTask): void
|
||||
}>()
|
||||
|
||||
const agentsStore = useAgentsStore()
|
||||
const drawerVisible = ref(false)
|
||||
const collaborationProcess = computed(() => {
|
||||
return agentsStore.agentRawPlan.data?.['Collaboration Process'] ?? []
|
||||
})
|
||||
|
||||
// 编辑逻辑
|
||||
const editMode = ref(false) //全局编辑开关
|
||||
const editMap = reactive<Record<string, boolean>>({}) //行级编辑状态
|
||||
const editBuffer = reactive<Record<string, string | undefined>>({}) //临时输入
|
||||
|
||||
function getProcessDescription(stepId: string, processId: string) {
|
||||
const step = collaborationProcess.value.find(s => s.Id === stepId)
|
||||
if (step) {
|
||||
const process = step.TaskProcess.find(p => p.ID === processId)
|
||||
return process?.Description || ''
|
||||
}
|
||||
return ''
|
||||
}
|
||||
|
||||
function save() {
|
||||
Object.keys(editMap).forEach(key => {
|
||||
if (editMap[key]) {
|
||||
const [stepId, processId] = key.split('-')
|
||||
const value = editBuffer[key]
|
||||
// 确保 value 是字符串类型
|
||||
if (value !== undefined && value !== null) {
|
||||
// @ts-ignore - TypeScript 无法正确推断类型，但运行时是安全的
|
||||
handleSaveEdit(stepId, processId, value)
|
||||
}
|
||||
}
|
||||
})
|
||||
editMode.value = false
|
||||
}
|
||||
|
||||
function handleOpenEdit(stepId: string, processId: string) {
|
||||
if (!editMode.value) return
|
||||
const key = `${stepId}-${processId}`
|
||||
editMap[key] = true
|
||||
editBuffer[key] = getProcessDescription(stepId, processId)
|
||||
}
|
||||
|
||||
function handleSaveEdit(stepId: string, processId: string, value: string) {
|
||||
const key = `${stepId}-${processId}`
|
||||
const step = collaborationProcess.value.find(s => s.Id === stepId)
|
||||
if (step) {
|
||||
const process = step.TaskProcess.find(p => p.ID === processId)
|
||||
if (process) {
|
||||
process.Description = value
|
||||
}
|
||||
}
|
||||
editMap[key] = false
|
||||
ElMessage.success('已保存（前端内存）')
|
||||
}
|
||||
const jsplumb = new Jsplumb('task-results-main', {
|
||||
connector: {
|
||||
type: BezierConnector.type,
|
||||
options: { curviness: 30, stub: 10 }
|
||||
}
|
||||
})
|
||||
|
||||
// 操作折叠面板时要实时的刷新连线
|
||||
let timer: ReturnType<typeof setInterval> | null = null
|
||||
function handleCollapse() {
|
||||
if (timer) {
|
||||
clearInterval(timer)
|
||||
}
|
||||
timer = setInterval(() => {
|
||||
jsplumb.repaintEverything()
|
||||
emit('refreshLine')
|
||||
}, 1) as ReturnType<typeof setInterval>
|
||||
|
||||
// 默认三秒后已经完全打开
|
||||
const timer1 = setTimeout(() => {
|
||||
if (timer) {
|
||||
clearInterval(timer)
|
||||
timer = null
|
||||
}
|
||||
}, 3000)
|
||||
|
||||
onUnmounted(() => {
|
||||
if (timer) {
|
||||
clearInterval(timer)
|
||||
}
|
||||
if (timer1) {
|
||||
clearInterval(timer1)
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
// 创建内部连线
|
||||
function createInternalLine(id?: string) {
|
||||
const arr: ConnectArg[] = []
|
||||
jsplumb.reset()
|
||||
collaborationProcess.value.forEach(item => {
|
||||
// 创建左侧流程与产出的连线
|
||||
arr.push({
|
||||
sourceId: `task-results-${item.Id}-0`,
|
||||
targetId: `task-results-${item.Id}-1`,
|
||||
anchor: [AnchorLocations.Left, AnchorLocations.Left]
|
||||
})
|
||||
collaborationProcess.value.forEach(jitem => {
|
||||
// 创建左侧产出与上一步流程的连线
|
||||
if (item.InputObject_List!.includes(jitem.OutputObject ?? '')) {
|
||||
arr.push({
|
||||
sourceId: `task-results-${jitem.Id}-1`,
|
||||
targetId: `task-results-${item.Id}-0`,
|
||||
anchor: [AnchorLocations.Left, AnchorLocations.Left],
|
||||
config: {
|
||||
type: 'output'
|
||||
}
|
||||
})
|
||||
}
|
||||
// 创建右侧任务程序与InputObject字段的连线
|
||||
jitem.TaskProcess.forEach(i => {
|
||||
if (i.ImportantInput?.includes(`InputObject:${item.OutputObject}`)) {
|
||||
const color = getActionTypeDisplay(i.ActionType)?.color ?? ''
|
||||
const sourceId = `task-results-${item.Id}-1`
|
||||
const targetId = `task-results-${jitem.Id}-0-${i.ID}`
|
||||
arr.push({
|
||||
sourceId,
|
||||
targetId,
|
||||
anchor: [AnchorLocations.Right, AnchorLocations.Right],
|
||||
config: {
|
||||
stops: [
|
||||
[0, color],
|
||||
[1, color]
|
||||
],
|
||||
transparent: targetId !== id
|
||||
}
|
||||
})
|
||||
}
|
||||
})
|
||||
})
|
||||
|
||||
// 创建右侧TaskProcess内部连线
|
||||
item.TaskProcess?.forEach(i => {
|
||||
if (!i.ImportantInput?.length) {
|
||||
return
|
||||
}
|
||||
item.TaskProcess?.forEach(i2 => {
|
||||
if (i.ImportantInput.includes(`ActionResult:${i2.ID}`)) {
|
||||
const color = getActionTypeDisplay(i.ActionType)?.color ?? ''
|
||||
const sourceId = `task-results-${item.Id}-0-${i2.ID}`
|
||||
const targetId = `task-results-${item.Id}-0-${i.ID}`
|
||||
arr.push({
|
||||
sourceId,
|
||||
targetId,
|
||||
anchor: [AnchorLocations.Right, AnchorLocations.Right],
|
||||
config: {
|
||||
stops: [
|
||||
[0, color],
|
||||
[1, color]
|
||||
],
|
||||
transparent: targetId !== id
|
||||
}
|
||||
})
|
||||
}
|
||||
})
|
||||
})
|
||||
})
|
||||
|
||||
jsplumb.connects(arr)
|
||||
jsplumb.repaintEverything()
|
||||
}
|
||||
|
||||
const loading = ref(false)
|
||||
|
||||
// 额外产物编辑状态
|
||||
const editingOutputId = ref<string | null>(null)
|
||||
const editingOutputContent = ref('')
|
||||
|
||||
// 额外产物内容存储
|
||||
const additionalOutputContents = ref<Record<string, string>>({})
|
||||
|
||||
async function handleRun() {
|
||||
try {
|
||||
loading.value = true
|
||||
const d = await api.executePlan(agentsStore.agentRawPlan.data!)
|
||||
agentsStore.setExecutePlan(d)
|
||||
} finally {
|
||||
loading.value = false
|
||||
}
|
||||
}
|
||||
|
||||
// 查看任务过程
|
||||
async function handleTaskProcess() {
|
||||
drawerVisible.value = true
|
||||
}
|
||||
|
||||
// 开始编辑额外产物内容
|
||||
function startOutputEditing(output: string) {
|
||||
editingOutputId.value = output
|
||||
editingOutputContent.value = getAdditionalOutputContent(output) || ''
|
||||
}
|
||||
|
||||
// 保存额外产物内容
|
||||
function saveOutputEditing() {
|
||||
if (editingOutputId.value && editingOutputContent.value.trim()) {
|
||||
additionalOutputContents.value[editingOutputId.value] = editingOutputContent.value.trim()
|
||||
}
|
||||
editingOutputId.value = null
|
||||
editingOutputContent.value = ''
|
||||
}
|
||||
|
||||
// 取消编辑额外产物内容
|
||||
function cancelOutputEditing() {
|
||||
editingOutputId.value = null
|
||||
editingOutputContent.value = ''
|
||||
}
|
||||
|
||||
// 获取额外产物内容
|
||||
function getAdditionalOutputContent(output: string) {
|
||||
return additionalOutputContents.value[output] || ''
|
||||
}
|
||||
|
||||
// 处理额外产物的键盘事件
|
||||
function handleOutputKeydown(event: KeyboardEvent) {
|
||||
if (event.key === 'Enter') {
|
||||
event.preventDefault()
|
||||
saveOutputEditing()
|
||||
} else if (event.key === 'Escape') {
|
||||
editingOutputId.value = null
|
||||
editingOutputContent.value = ''
|
||||
}
|
||||
}
|
||||
|
||||
// 添加滚动状态标识
|
||||
const isScrolling = ref(false)
|
||||
let scrollTimer: ReturnType<typeof setTimeout> | null = null
|
||||
|
||||
// 修改滚动处理函数
|
||||
function handleScroll() {
|
||||
isScrolling.value = true
|
||||
emit('refreshLine')
|
||||
// 清除之前的定时器
|
||||
if (scrollTimer) {
|
||||
clearTimeout(scrollTimer)
|
||||
}
|
||||
jsplumb.repaintEverything()
|
||||
|
||||
// 设置滚动结束检测
|
||||
scrollTimer = setTimeout(() => {
|
||||
isScrolling.value = false
|
||||
}, 300) as ReturnType<typeof setTimeout>
|
||||
}
|
||||
|
||||
// 修改鼠标事件处理函数
|
||||
const handleMouseEnter = throttle(id => {
|
||||
if (!isScrolling.value) {
|
||||
createInternalLine(id)
|
||||
}
|
||||
}, 100)
|
||||
|
||||
const handleMouseLeave = throttle(() => {
|
||||
if (!isScrolling.value) {
|
||||
createInternalLine()
|
||||
}
|
||||
}, 100)
|
||||
|
||||
function clear() {
|
||||
jsplumb.reset()
|
||||
}
|
||||
|
||||
// ========== 按钮交互状态管理 ==========
|
||||
const buttonHoverState = ref(null) // null | 'process' | 'execute'
|
||||
|
||||
const handleProcessMouseEnter = () => {
|
||||
buttonHoverState.value = 'process'
|
||||
}
|
||||
|
||||
const handleExecuteMouseEnter = () => {
|
||||
if (agentsStore.agentRawPlan.data) {
|
||||
buttonHoverState.value = 'execute'
|
||||
}
|
||||
}
|
||||
|
||||
const handleButtonMouseLeave = () => {
|
||||
setTimeout(() => {
|
||||
buttonHoverState.value = null
|
||||
}, 150)
|
||||
}
|
||||
|
||||
// 计算按钮类名
|
||||
const processBtnClass = computed(() => {
|
||||
return buttonHoverState.value === 'process' ? 'ellipse' : 'circle'
|
||||
})
|
||||
|
||||
const executeBtnClass = computed(() => {
|
||||
// 鼠标悬停在过程按钮上时，执行按钮变圆形
|
||||
if (buttonHoverState.value === 'process') {
|
||||
return 'circle'
|
||||
}
|
||||
// 其他情况：如果有任务数据就显示椭圆形，否则显示圆形
|
||||
return agentsStore.agentRawPlan.data ? 'ellipse' : 'circle'
|
||||
})
|
||||
|
||||
// 计算按钮是否显示文字
|
||||
const showProcessText = computed(() => {
|
||||
return buttonHoverState.value === 'process'
|
||||
})
|
||||
|
||||
const showExecuteText = computed(() => {
|
||||
// 鼠标悬停在过程按钮上时，执行按钮不显示文字
|
||||
if (buttonHoverState.value === 'process') return false
|
||||
// 其他情况：如果有任务数据就显示文字，否则不显示
|
||||
return agentsStore.agentRawPlan.data
|
||||
})
|
||||
|
||||
// 计算按钮标题
|
||||
const processBtnTitle = computed(() => {
|
||||
return buttonHoverState.value === 'process' ? '任务过程' : '点击查看任务过程'
|
||||
})
|
||||
|
||||
const executeBtnTitle = computed(() => {
|
||||
return showExecuteText.value ? '任务执行' : '点击运行'
|
||||
})
|
||||
|
||||
defineExpose({
|
||||
createInternalLine,
|
||||
clear
|
||||
})
|
||||
</script>
|
||||
|
||||
<template>
|
||||
<div
|
||||
class="h-full flex flex-col relative"
|
||||
id="task-results"
|
||||
:class="{ 'is-running': agentsStore.executePlan.length > 0 }"
|
||||
>
|
||||
<!-- 标题与执行按钮 -->
|
||||
<div class="text-[18px] font-bold mb-[18px] flex justify-between items-center px-[20px]">
|
||||
<span class="text-[var(--color-text-title-header)]">执行结果</span>
|
||||
<div
|
||||
class="flex items-center gap-[14px] task-button-group"
|
||||
@mouseleave="handleButtonMouseLeave"
|
||||
>
|
||||
<!-- 任务过程按钮 -->
|
||||
<el-button
|
||||
:class="processBtnClass"
|
||||
:color="variables.tertiary"
|
||||
:title="processBtnTitle"
|
||||
@mouseenter="handleProcessMouseEnter"
|
||||
@click="handleTaskProcess"
|
||||
>
|
||||
<svg-icon icon-class="process" />
|
||||
<span v-if="showProcessText" class="btn-text">任务过程</span>
|
||||
</el-button>
|
||||
|
||||
<!-- 任务执行按钮 -->
|
||||
<el-popover
|
||||
:disabled="Boolean(agentsStore.agentRawPlan.data)"
|
||||
title="请先输入要执行的任务"
|
||||
:visible="showPopover"
|
||||
@hide="showPopover = false"
|
||||
>
|
||||
<template #reference>
|
||||
<el-button
|
||||
:class="executeBtnClass"
|
||||
:color="variables.tertiary"
|
||||
:title="executeBtnTitle"
|
||||
:disabled="!agentsStore.agentRawPlan.data"
|
||||
@mouseenter="handleExecuteMouseEnter"
|
||||
@click="handleRun"
|
||||
>
|
||||
<svg-icon icon-class="action" />
|
||||
<span v-if="showExecuteText" class="btn-text">任务执行</span>
|
||||
</el-button>
|
||||
</template>
|
||||
</el-popover>
|
||||
|
||||
<el-drawer
|
||||
v-model="drawerVisible"
|
||||
title="任务过程"
|
||||
direction="rtl"
|
||||
size="30%"
|
||||
:destroy-on-close="false"
|
||||
>
|
||||
<!-- 头部工具栏 -->
|
||||
<template #header>
|
||||
<div class="drawer-header">
|
||||
<span class="title">任务过程</span>
|
||||
<!-- <el-button v-if="!editMode" text icon="Edit" @click="editMode = true" />
|
||||
<el-button v-else text icon="Check" @click="save" /> -->
|
||||
</div>
|
||||
</template>
|
||||
<el-scrollbar height="calc(100vh - 120px)">
|
||||
<el-empty v-if="!collaborationProcess.length" description="暂无任务过程" />
|
||||
<div v-else class="process-list">
|
||||
<!-- 使用ProcessCard组件显示每个AgentSelection -->
|
||||
<ProcessCard
|
||||
v-for="step in collaborationProcess"
|
||||
:key="step.Id"
|
||||
:step="step"
|
||||
@open-edit="handleOpenEdit"
|
||||
@save-edit="handleSaveEdit"
|
||||
/>
|
||||
</div>
|
||||
</el-scrollbar>
|
||||
</el-drawer>
|
||||
</div>
|
||||
</div>
|
||||
<!-- 内容 -->
|
||||
<div
|
||||
v-loading="agentsStore.agentRawPlan.loading"
|
||||
class="flex-1 overflow-auto relative"
|
||||
@scroll="handleScroll"
|
||||
>
|
||||
<div id="task-results-main" class="px-[40px] relative">
|
||||
<!-- 原有的流程和产物 -->
|
||||
<div v-for="item in collaborationProcess" :key="item.Id" class="card-item">
|
||||
<el-card
|
||||
class="card-item w-full relative"
|
||||
:class="agentsStore.currentTask?.StepName === item.StepName ? 'active-card' : ''"
|
||||
:shadow="true"
|
||||
:id="`task-results-${item.Id}-0`"
|
||||
@click="emit('setCurrentTask', item)"
|
||||
>
|
||||
<div class="text-[18px] mb-[15px]">{{ item.StepName }}</div>
|
||||
<!-- 折叠面板 -->
|
||||
<el-collapse @change="handleCollapse">
|
||||
<el-collapse-item
|
||||
v-for="item1 in item.TaskProcess"
|
||||
:key="`task-results-${item.Id}-${item1.ID}`"
|
||||
:name="`task-results-${item.Id}-${item1.ID}`"
|
||||
:disabled="Boolean(!agentsStore.executePlan.length || loading)"
|
||||
@mouseenter="() => handleMouseEnter(`task-results-${item.Id}-0-${item1.ID}`)"
|
||||
@mouseleave="handleMouseLeave"
|
||||
>
|
||||
<template v-if="loading" #icon>
|
||||
<SvgIcon icon-class="loading" size="20px" class="animate-spin" />
|
||||
</template>
|
||||
<template v-else-if="!agentsStore.executePlan.length" #icon>
|
||||
<span></span>
|
||||
</template>
|
||||
<template #title>
|
||||
<!-- 运行之前背景颜色是var(--color-bg-detail-list),运行之后背景颜色是var(--color-bg-detail-list-run) -->
|
||||
<div
|
||||
class="flex items-center gap-[15px] rounded-[20px]"
|
||||
:class="{
|
||||
'bg-[var(--color-bg-detail-list)]': !agentsStore.executePlan.length,
|
||||
'bg-[var(--color-bg-detail-list-run)]': agentsStore.executePlan.length
|
||||
}"
|
||||
>
|
||||
<!-- 右侧链接点 -->
|
||||
<div
|
||||
class="absolute right-0 top-1/2 transform -translate-y-1/2"
|
||||
:id="`task-results-${item.Id}-0-${item1.ID}`"
|
||||
></div>
|
||||
<div
|
||||
class="w-[41px] h-[41px] rounded-full flex items-center justify-center"
|
||||
:style="{ background: getAgentMapIcon(item1.AgentName).color }"
|
||||
>
|
||||
<svg-icon
|
||||
:icon-class="getAgentMapIcon(item1.AgentName).icon"
|
||||
color="#fff"
|
||||
size="24px"
|
||||
/>
|
||||
</div>
|
||||
<div class="text-[16px]">
|
||||
<span>{{ item1.AgentName }}: </span>
|
||||
<span :style="{ color: getActionTypeDisplay(item1.ActionType)?.color }">
|
||||
{{ getActionTypeDisplay(item1.ActionType)?.name }}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
<ExecutePlan
|
||||
:action-id="item1.ID"
|
||||
:node-id="item.StepName"
|
||||
:execute-plans="agentsStore.executePlan"
|
||||
/>
|
||||
</el-collapse-item>
|
||||
</el-collapse>
|
||||
</el-card>
|
||||
|
||||
<el-card
|
||||
class="card-item w-full relative output-object-card"
|
||||
:shadow="true"
|
||||
:class="agentsStore.currentTask?.StepName === item.StepName ? 'active-card' : ''"
|
||||
:id="`task-results-${item.Id}-1`"
|
||||
@click="emit('setCurrentTask', item)"
|
||||
>
|
||||
<!-- <div class="text-[18px]">{{ item.OutputObject }}</div>-->
|
||||
<el-collapse @change="handleCollapse">
|
||||
<el-collapse-item
|
||||
class="output-object"
|
||||
:disabled="Boolean(!agentsStore.executePlan.length || loading)"
|
||||
>
|
||||
<template v-if="loading" #icon>
|
||||
<SvgIcon icon-class="loading" size="20px" class="animate-spin" />
|
||||
</template>
|
||||
<template v-else-if="!agentsStore.executePlan.length" #icon>
|
||||
<span></span>
|
||||
</template>
|
||||
<template #title>
|
||||
<div class="text-[18px]">{{ item.OutputObject }}</div>
|
||||
</template>
|
||||
<ExecutePlan
|
||||
:node-id="item.OutputObject"
|
||||
:execute-plans="agentsStore.executePlan"
|
||||
/>
|
||||
</el-collapse-item>
|
||||
</el-collapse>
|
||||
</el-card>
|
||||
</div>
|
||||
|
||||
<!-- 额外产物的编辑卡片 -->
|
||||
<div
|
||||
v-for="(output, index) in agentsStore.additionalOutputs"
|
||||
:key="`additional-output-${index}`"
|
||||
class="card-item"
|
||||
>
|
||||
<!-- 空的流程卡片位置 -->
|
||||
<div class="w-full"></div>
|
||||
|
||||
<!-- 额外产物的编辑卡片 -->
|
||||
<el-card
|
||||
class="card-item w-full relative output-object-card additional-output-card"
|
||||
:shadow="false"
|
||||
:id="`additional-output-results-${index}`"
|
||||
>
|
||||
<!-- 产物名称行 -->
|
||||
<div class="text-[18px] mb-3">
|
||||
{{ output }}
|
||||
</div>
|
||||
|
||||
<!-- 编辑区域行 -->
|
||||
<div class="additional-output-editor">
|
||||
<div v-if="editingOutputId === output" class="w-full">
|
||||
<!-- 编辑状态：输入框 + 按钮 -->
|
||||
<div class="flex flex-col gap-3">
|
||||
<el-input
|
||||
v-model="editingOutputContent"
|
||||
type="textarea"
|
||||
:autosize="{ minRows: 3, maxRows: 6 }"
|
||||
placeholder="请输入产物内容"
|
||||
@keydown="handleOutputKeydown"
|
||||
class="output-editor"
|
||||
size="small"
|
||||
/>
|
||||
<div class="flex justify-end gap-2">
|
||||
<el-button @click="saveOutputEditing" type="primary" size="small" class="px-3">
|
||||
√
|
||||
</el-button>
|
||||
<el-button @click="cancelOutputEditing" size="small" class="px-3">
|
||||
×
|
||||
</el-button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div v-else class="w-full">
|
||||
<!-- 非编辑状态：折叠区域 + 编辑按钮 -->
|
||||
<div
|
||||
class="flex items-center justify-between p-3 bg-[var(--color-bg-quinary)] rounded-[8px]"
|
||||
>
|
||||
<div
|
||||
class="text-[14px] text-[var(--color-text-secondary)] output-content-display"
|
||||
>
|
||||
{{ getAdditionalOutputContent(output) || '暂无内容，点击编辑' }}
|
||||
</div>
|
||||
<el-button
|
||||
@click="startOutputEditing(output)"
|
||||
size="small"
|
||||
type="primary"
|
||||
plain
|
||||
class="flex items-center gap-1"
|
||||
>
|
||||
<svg-icon icon-class="action" size="12px" />
|
||||
<span>编辑</span>
|
||||
</el-button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</el-card>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<style scoped lang="scss">
|
||||
#task-results.is-running {
|
||||
--color-bg-detail-list: var(--color-bg-detail-list-run); // 直接指向 100 % 版本
|
||||
}
|
||||
#task-results {
|
||||
:deep(.el-collapse) {
|
||||
border: none;
|
||||
border-radius: 20px;
|
||||
.el-collapse-item + .el-collapse-item {
|
||||
margin-top: 10px;
|
||||
}
|
||||
|
||||
.el-collapse-item__header {
|
||||
border: none;
|
||||
background: var(--color-bg-detail-list-run);
|
||||
min-height: 41px;
|
||||
line-height: 41px;
|
||||
border-radius: 20px;
|
||||
transition: border-radius 1ms;
|
||||
position: relative;
|
||||
|
||||
.el-collapse-item__title {
|
||||
background: var(--color-bg-detail-list);
|
||||
border-radius: 20px;
|
||||
}
|
||||
|
||||
.el-icon {
|
||||
font-size: 20px;
|
||||
font-weight: 900;
|
||||
background: var(--color-bg-icon-rotate);
|
||||
border-radius: 50px;
|
||||
color: #d8d8d8;
|
||||
}
|
||||
|
||||
&.is-active {
|
||||
border-bottom-left-radius: 0;
|
||||
border-bottom-right-radius: 0;
|
||||
}
|
||||
}
|
||||
|
||||
.output-object {
|
||||
.el-collapse-item__header {
|
||||
background: none;
|
||||
|
||||
.el-collapse-item__title {
|
||||
background: none;
|
||||
}
|
||||
}
|
||||
|
||||
.el-collapse-item__wrap {
|
||||
background: none;
|
||||
|
||||
.card-item {
|
||||
background: var(--color-bg-detail);
|
||||
padding: 25px;
|
||||
padding-top: 10px;
|
||||
border-radius: 7px;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.el-collapse-item__wrap {
|
||||
border: none;
|
||||
background: var(--color-bg-detail-list);
|
||||
border-bottom-left-radius: 20px;
|
||||
border-bottom-right-radius: 20px;
|
||||
}
|
||||
}
|
||||
|
||||
:deep(.el-card) {
|
||||
.el-card__body {
|
||||
padding-right: 40px;
|
||||
background-color: var(--color-bg-detail);
|
||||
&:hover {
|
||||
background-color: var(--color-card-bg-result-hover);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
.output-object-card {
|
||||
:deep(.el-card__body) {
|
||||
padding-top: 0;
|
||||
padding-bottom: 0;
|
||||
padding-right: 0;
|
||||
}
|
||||
}
|
||||
|
||||
.active-card {
|
||||
background: linear-gradient(var(--color-bg-tertiary), var(--color-bg-tertiary)) padding-box,
|
||||
linear-gradient(to right, #00c8d2, #315ab4) border-box;
|
||||
}
|
||||
|
||||
.card-item + .card-item {
|
||||
margin-top: 10px;
|
||||
}
|
||||
|
||||
.additional-output-card {
|
||||
border: 1px dashed #dcdfe6;
|
||||
opacity: 0.9;
|
||||
box-shadow: var(--color-agent-list-hover-shadow);
|
||||
|
||||
&:hover {
|
||||
border-color: #409eff;
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
:deep(.el-card__body) {
|
||||
padding: 20px;
|
||||
}
|
||||
|
||||
// 编辑区域样式调整
|
||||
.el-collapse {
|
||||
border: none;
|
||||
|
||||
.el-collapse-item {
|
||||
.el-collapse-item__header {
|
||||
background: var(--color-bg-detail);
|
||||
min-height: 36px;
|
||||
line-height: 36px;
|
||||
border-radius: 8px;
|
||||
|
||||
.el-collapse-item__title {
|
||||
background: transparent;
|
||||
font-size: 14px;
|
||||
padding-left: 0;
|
||||
}
|
||||
|
||||
.el-icon {
|
||||
font-size: 16px;
|
||||
}
|
||||
}
|
||||
|
||||
.el-collapse-item__wrap {
|
||||
background: var(--color-bg-detail);
|
||||
border-radius: 0 0 8px 8px;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 额外产物编辑区域样式
|
||||
.additional-output-editor {
|
||||
.output-editor {
|
||||
:deep(.el-textarea__inner) {
|
||||
font-size: 14px;
|
||||
color: var(--color-text-primary);
|
||||
background: var(--color-bg-detail);
|
||||
border: 1px solid #dcdfe6;
|
||||
resize: none;
|
||||
padding: 12px;
|
||||
}
|
||||
}
|
||||
|
||||
.output-content-display {
|
||||
word-break: break-word;
|
||||
white-space: pre-wrap;
|
||||
transition: all 0.2s ease;
|
||||
line-height: 1.5;
|
||||
min-height: 20px;
|
||||
|
||||
&:hover {
|
||||
background-color: rgba(0, 0, 0, 0.05);
|
||||
border-color: #409eff;
|
||||
opacity: 1;
|
||||
}
|
||||
}
|
||||
|
||||
// 编辑按钮样式
|
||||
.el-button {
|
||||
font-weight: bold;
|
||||
font-size: 16px;
|
||||
border-radius: 4px;
|
||||
|
||||
&.el-button--small {
|
||||
padding: 4px 12px;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// ========== 新增：按钮交互样式 ==========
|
||||
.task-button-group {
|
||||
.el-button {
|
||||
display: inline-flex !important;
|
||||
align-items: center !important;
|
||||
justify-content: center !important;
|
||||
transition: all 0.35s cubic-bezier(0.175, 0.885, 0.32, 1.275) !important;
|
||||
overflow: hidden !important;
|
||||
white-space: nowrap !important;
|
||||
border: none !important;
|
||||
color: var(--color-text-primary) !important;
|
||||
position: relative;
|
||||
background-color: var(--color-bg-tertiary);
|
||||
&:hover {
|
||||
transform: translateY(-2px) !important;
|
||||
box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15) !important;
|
||||
filter: brightness(1.1) !important;
|
||||
}
|
||||
|
||||
&.is-disabled {
|
||||
opacity: 0.5;
|
||||
cursor: not-allowed !important;
|
||||
|
||||
&:hover {
|
||||
transform: none !important;
|
||||
box-shadow: none !important;
|
||||
filter: none !important;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 圆形状态
|
||||
.circle {
|
||||
width: 40px !important;
|
||||
height: 40px !important;
|
||||
min-width: 40px !important;
|
||||
padding: 0 !important;
|
||||
border-radius: 50% !important;
|
||||
|
||||
.btn-text {
|
||||
display: none !important;
|
||||
}
|
||||
}
|
||||
|
||||
// 椭圆形状态
|
||||
.ellipse {
|
||||
height: 40px !important;
|
||||
border-radius: 20px !important;
|
||||
padding: 0 16px !important;
|
||||
gap: 8px;
|
||||
|
||||
.btn-text {
|
||||
display: inline-block !important;
|
||||
font-size: 14px;
|
||||
font-weight: 500;
|
||||
margin-left: 4px;
|
||||
opacity: 1;
|
||||
animation: fadeIn 0.3s ease forwards;
|
||||
}
|
||||
}
|
||||
|
||||
.btn-text {
|
||||
font-size: 14px;
|
||||
font-weight: 500;
|
||||
margin-left: 4px;
|
||||
opacity: 0;
|
||||
animation: fadeIn 0.3s ease forwards;
|
||||
}
|
||||
|
||||
@keyframes fadeIn {
|
||||
from {
|
||||
opacity: 0;
|
||||
transform: translateX(-5px);
|
||||
}
|
||||
to {
|
||||
opacity: 1;
|
||||
transform: translateX(0);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
</style>
|
||||
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Reference in New Issue
Block a user