自动布局

2026-01-20 18:05:31 +08:00
parent fab1767792
commit b8f340401a
8 changed files with 3812 additions and 18 deletions
--- a/backend/scripts/generate_batch_agents.py
+++ b/backend/scripts/generate_batch_agents.py
@@ -0,0 +1,626 @@
+#!/usr/bin/env python3
+"""
+批量生成多个Agent
+生成一批不同类型的Agent，展示各种工作流模式
+"""
+import sys
+import os
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from sqlalchemy.orm import Session
+from app.core.database import SessionLocal
+from app.models.agent import Agent
+from app.models.user import User
+from datetime import datetime
+import uuid
+
+
+def generate_text_summary_agent(db: Session, user: User):
+    """生成文本摘要Agent"""
+    nodes = []
+    edges = []
+    
+    start_node = {
+        "id": "start-1",
+        "type": "start",
+        "position": {"x": 50, "y": 300},
+        "data": {"label": "开始", "output_format": "json"}
+    }
+    nodes.append(start_node)
+    
+    summary_node = {
+        "id": "llm-summary",
+        "type": "llm",
+        "position": {"x": 250, "y": 300},
+        "data": {
+            "label": "文本摘要",
+            "provider": "deepseek",
+            "model": "deepseek-chat",
+            "temperature": "0.3",
+            "max_tokens": "2000",
+            "prompt": """你是一个专业的文本摘要专家。请对以下文本进行摘要。
+
+文本内容：{{query}}
+
+请生成：
+1. 核心要点（3-5条）
+2. 简要摘要（100-200字）
+3. 关键词（5-10个）
+
+请以Markdown格式输出。"""
+        }
+    }
+    nodes.append(summary_node)
+    
+    end_node = {
+        "id": "end-1",
+        "type": "end",
+        "position": {"x": 450, "y": 300},
+        "data": {"label": "结束"}
+    }
+    nodes.append(end_node)
+    
+    edges.append({"id": "e1", "source": "start-1", "target": "llm-summary", "sourceHandle": "right", "targetHandle": "left"})
+    edges.append({"id": "e2", "source": "llm-summary", "target": "end-1", "sourceHandle": "right", "targetHandle": "left"})
+    
+    return {
+        "name": "文本摘要Agent",
+        "description": "智能文本摘要工具，能够提取文本核心要点、生成简要摘要和关键词。",
+        "workflow_config": {"nodes": nodes, "edges": edges}
+    }
+
+
+def generate_code_review_agent(db: Session, user: User):
+    """生成代码审查Agent"""
+    nodes = []
+    edges = []
+    
+    start_node = {
+        "id": "start-1",
+        "type": "start",
+        "position": {"x": 50, "y": 300},
+        "data": {"label": "开始", "output_format": "json"}
+    }
+    nodes.append(start_node)
+    
+    analysis_node = {
+        "id": "llm-analysis",
+        "type": "llm",
+        "position": {"x": 250, "y": 300},
+        "data": {
+            "label": "代码分析",
+            "provider": "deepseek",
+            "model": "deepseek-chat",
+            "temperature": "0.2",
+            "max_tokens": "3000",
+            "prompt": """你是一个资深的代码审查专家。请审查以下代码。
+
+代码：{{query}}
+
+请检查：
+1. 代码规范（命名、格式、注释）
+2. 潜在bug和错误
+3. 性能问题
+4. 安全性问题
+5. 最佳实践建议
+
+请以Markdown格式输出，包含问题列表和改进建议。"""
+        }
+    }
+    nodes.append(analysis_node)
+    
+    end_node = {
+        "id": "end-1",
+        "type": "end",
+        "position": {"x": 450, "y": 300},
+        "data": {"label": "结束"}
+    }
+    nodes.append(end_node)
+    
+    edges.append({"id": "e1", "source": "start-1", "target": "llm-analysis", "sourceHandle": "right", "targetHandle": "left"})
+    edges.append({"id": "e2", "source": "llm-analysis", "target": "end-1", "sourceHandle": "right", "targetHandle": "left"})
+    
+    return {
+        "name": "代码审查Agent",
+        "description": "专业的代码审查工具，能够检查代码规范、潜在bug、性能问题和安全性。",
+        "workflow_config": {"nodes": nodes, "edges": edges}
+    }
+
+
+def generate_translation_agent(db: Session, user: User):
+    """生成翻译Agent"""
+    nodes = []
+    edges = []
+    
+    start_node = {
+        "id": "start-1",
+        "type": "start",
+        "position": {"x": 50, "y": 300},
+        "data": {"label": "开始", "output_format": "json"}
+    }
+    nodes.append(start_node)
+    
+    detect_node = {
+        "id": "llm-detect",
+        "type": "llm",
+        "position": {"x": 250, "y": 300},
+        "data": {
+            "label": "语言检测",
+            "provider": "deepseek",
+            "model": "deepseek-chat",
+            "temperature": "0.1",
+            "max_tokens": "500",
+            "prompt": """请检测以下文本的语言类型。
+
+文本：{{query}}
+
+请输出JSON格式：
+{
+  "language": "检测到的语言（中文/英文/日文等）",
+  "confidence": "置信度（高/中/低）"
+}"""
+        }
+    }
+    nodes.append(detect_node)
+    
+    translate_node = {
+        "id": "llm-translate",
+        "type": "llm",
+        "position": {"x": 450, "y": 300},
+        "data": {
+            "label": "翻译",
+            "provider": "deepseek",
+            "model": "deepseek-chat",
+            "temperature": "0.3",
+            "max_tokens": "2000",
+            "prompt": """你是一个专业的翻译专家。请翻译以下文本。
+
+原文：{{query}}
+语言信息：{{output}}
+
+请提供：
+1. 翻译结果
+2. 翻译说明（如有特殊处理）
+
+请以Markdown格式输出。"""
+        }
+    }
+    nodes.append(translate_node)
+    
+    end_node = {
+        "id": "end-1",
+        "type": "end",
+        "position": {"x": 650, "y": 300},
+        "data": {"label": "结束"}
+    }
+    nodes.append(end_node)
+    
+    edges.append({"id": "e1", "source": "start-1", "target": "llm-detect", "sourceHandle": "right", "targetHandle": "left"})
+    edges.append({"id": "e2", "source": "llm-detect", "target": "llm-translate", "sourceHandle": "right", "targetHandle": "left"})
+    edges.append({"id": "e3", "source": "llm-translate", "target": "end-1", "sourceHandle": "right", "targetHandle": "left"})
+    
+    return {
+        "name": "智能翻译Agent",
+        "description": "多语言翻译工具，支持语言自动检测和高质量翻译。",
+        "workflow_config": {"nodes": nodes, "edges": edges}
+    }
+
+
+def generate_qa_agent(db: Session, user: User):
+    """生成问答助手Agent"""
+    nodes = []
+    edges = []
+    
+    start_node = {
+        "id": "start-1",
+        "type": "start",
+        "position": {"x": 50, "y": 300},
+        "data": {"label": "开始", "output_format": "json"}
+    }
+    nodes.append(start_node)
+    
+    understand_node = {
+        "id": "llm-understand",
+        "type": "llm",
+        "position": {"x": 250, "y": 300},
+        "data": {
+            "label": "问题理解",
+            "provider": "deepseek",
+            "model": "deepseek-chat",
+            "temperature": "0.3",
+            "max_tokens": "1000",
+            "prompt": """请分析用户的问题，提取关键信息。
+
+用户问题：{{query}}
+
+请输出JSON格式：
+{
+  "question_type": "问题类型（技术/生活/学习等）",
+  "keywords": ["关键词1", "关键词2"],
+  "intent": "用户意图"
+}"""
+        }
+    }
+    nodes.append(understand_node)
+    
+    answer_node = {
+        "id": "llm-answer",
+        "type": "llm",
+        "position": {"x": 450, "y": 300},
+        "data": {
+            "label": "生成答案",
+            "provider": "deepseek",
+            "model": "deepseek-chat",
+            "temperature": "0.7",
+            "max_tokens": "2000",
+            "prompt": """你是一个知识渊博的助手。请回答用户的问题。
+
+用户问题：{{query}}
+问题分析：{{output}}
+
+请提供：
+1. 直接答案
+2. 详细解释
+3. 相关建议
+
+请以Markdown格式输出，确保答案准确、清晰、有用。"""
+        }
+    }
+    nodes.append(answer_node)
+    
+    end_node = {
+        "id": "end-1",
+        "type": "end",
+        "position": {"x": 650, "y": 300},
+        "data": {"label": "结束"}
+    }
+    nodes.append(end_node)
+    
+    edges.append({"id": "e1", "source": "start-1", "target": "llm-understand", "sourceHandle": "right", "targetHandle": "left"})
+    edges.append({"id": "e2", "source": "llm-understand", "target": "llm-answer", "sourceHandle": "right", "targetHandle": "left"})
+    edges.append({"id": "e3", "source": "llm-answer", "target": "end-1", "sourceHandle": "right", "targetHandle": "left"})
+    
+    return {
+        "name": "智能问答助手",
+        "description": "智能问答系统，能够理解问题意图并提供详细准确的答案。",
+        "workflow_config": {"nodes": nodes, "edges": edges}
+    }
+
+
+def generate_document_agent(db: Session, user: User):
+    """生成文档生成Agent"""
+    nodes = []
+    edges = []
+    
+    start_node = {
+        "id": "start-1",
+        "type": "start",
+        "position": {"x": 50, "y": 300},
+        "data": {"label": "开始", "output_format": "json"}
+    }
+    nodes.append(start_node)
+    
+    plan_node = {
+        "id": "llm-plan",
+        "type": "llm",
+        "position": {"x": 250, "y": 300},
+        "data": {
+            "label": "文档规划",
+            "provider": "deepseek",
+            "model": "deepseek-chat",
+            "temperature": "0.3",
+            "max_tokens": "1500",
+            "prompt": """请根据用户需求规划文档结构。
+
+用户需求：{{query}}
+
+请输出JSON格式的文档大纲：
+{
+  "title": "文档标题",
+  "sections": [
+    {"name": "章节1", "content": "内容描述"},
+    {"name": "章节2", "content": "内容描述"}
+  ]
+}"""
+        }
+    }
+    nodes.append(plan_node)
+    
+    generate_node = {
+        "id": "llm-generate",
+        "type": "llm",
+        "position": {"x": 450, "y": 300},
+        "data": {
+            "label": "生成文档",
+            "provider": "deepseek",
+            "model": "deepseek-chat",
+            "temperature": "0.5",
+            "max_tokens": "4000",
+            "prompt": """请根据文档规划生成完整的文档内容。
+
+用户需求：{{query}}
+文档规划：{{output}}
+
+请生成结构完整、内容详实的Markdown文档。"""
+        }
+    }
+    nodes.append(generate_node)
+    
+    end_node = {
+        "id": "end-1",
+        "type": "end",
+        "position": {"x": 650, "y": 300},
+        "data": {"label": "结束"}
+    }
+    nodes.append(end_node)
+    
+    edges.append({"id": "e1", "source": "start-1", "target": "llm-plan", "sourceHandle": "right", "targetHandle": "left"})
+    edges.append({"id": "e2", "source": "llm-plan", "target": "llm-generate", "sourceHandle": "right", "targetHandle": "left"})
+    edges.append({"id": "e3", "source": "llm-generate", "target": "end-1", "sourceHandle": "right", "targetHandle": "left"})
+    
+    return {
+        "name": "文档生成Agent",
+        "description": "智能文档生成工具，能够根据需求规划文档结构并生成完整内容。",
+        "workflow_config": {"nodes": nodes, "edges": edges}
+    }
+
+
+def generate_data_analysis_agent(db: Session, user: User):
+    """生成数据分析Agent"""
+    nodes = []
+    edges = []
+    
+    start_node = {
+        "id": "start-1",
+        "type": "start",
+        "position": {"x": 50, "y": 300},
+        "data": {"label": "开始", "output_format": "json"}
+    }
+    nodes.append(start_node)
+    
+    parse_node = {
+        "id": "llm-parse",
+        "type": "llm",
+        "position": {"x": 250, "y": 300},
+        "data": {
+            "label": "数据解析",
+            "provider": "deepseek",
+            "model": "deepseek-chat",
+            "temperature": "0.2",
+            "max_tokens": "2000",
+            "prompt": """请解析用户提供的数据。
+
+数据内容：{{query}}
+
+请输出JSON格式：
+{
+  "data_type": "数据类型（表格/列表/文本等）",
+  "structure": "数据结构描述",
+  "key_fields": ["字段1", "字段2"]
+}"""
+        }
+    }
+    nodes.append(parse_node)
+    
+    analysis_node = {
+        "id": "llm-analysis",
+        "type": "llm",
+        "position": {"x": 450, "y": 300},
+        "data": {
+            "label": "数据分析",
+            "provider": "deepseek",
+            "model": "deepseek-chat",
+            "temperature": "0.3",
+            "max_tokens": "3000",
+            "prompt": """请对数据进行深入分析。
+
+原始数据：{{query}}
+数据解析：{{output}}
+
+请提供：
+1. 数据概览
+2. 关键指标
+3. 趋势分析
+4. 洞察建议
+
+请以Markdown格式输出，包含数据表格和图表描述。"""
+        }
+    }
+    nodes.append(analysis_node)
+    
+    end_node = {
+        "id": "end-1",
+        "type": "end",
+        "position": {"x": 650, "y": 300},
+        "data": {"label": "结束"}
+    }
+    nodes.append(end_node)
+    
+    edges.append({"id": "e1", "source": "start-1", "target": "llm-parse", "sourceHandle": "right", "targetHandle": "left"})
+    edges.append({"id": "e2", "source": "llm-parse", "target": "llm-analysis", "sourceHandle": "right", "targetHandle": "left"})
+    edges.append({"id": "e3", "source": "llm-analysis", "target": "end-1", "sourceHandle": "right", "targetHandle": "left"})
+    
+    return {
+        "name": "数据分析Agent",
+        "description": "智能数据分析工具，能够解析数据、提取关键指标并提供深度洞察。",
+        "workflow_config": {"nodes": nodes, "edges": edges}
+    }
+
+
+def generate_creative_writing_agent(db: Session, user: User):
+    """生成创意写作Agent"""
+    nodes = []
+    edges = []
+    
+    start_node = {
+        "id": "start-1",
+        "type": "start",
+        "position": {"x": 50, "y": 300},
+        "data": {"label": "开始", "output_format": "json"}
+    }
+    nodes.append(start_node)
+    
+    brainstorm_node = {
+        "id": "llm-brainstorm",
+        "type": "llm",
+        "position": {"x": 250, "y": 300},
+        "data": {
+            "label": "头脑风暴",
+            "provider": "deepseek",
+            "model": "deepseek-chat",
+            "temperature": "0.8",
+            "max_tokens": "1500",
+            "prompt": """你是一个创意写作专家。请根据用户需求进行头脑风暴。
+
+用户需求：{{query}}
+
+请提供：
+1. 创意主题（3-5个）
+2. 故事大纲
+3. 角色设定
+4. 写作风格建议
+
+请以Markdown格式输出。"""
+        }
+    }
+    nodes.append(brainstorm_node)
+    
+    write_node = {
+        "id": "llm-write",
+        "type": "llm",
+        "position": {"x": 450, "y": 300},
+        "data": {
+            "label": "创作内容",
+            "provider": "deepseek",
+            "model": "deepseek-chat",
+            "temperature": "0.9",
+            "max_tokens": "4000",
+            "prompt": """请根据创意方案进行创作。
+
+用户需求：{{query}}
+创意方案：{{output}}
+
+请创作一篇完整的作品（文章、故事、诗歌等），确保内容生动、有趣、有创意。"""
+        }
+    }
+    nodes.append(write_node)
+    
+    end_node = {
+        "id": "end-1",
+        "type": "end",
+        "position": {"x": 650, "y": 300},
+        "data": {"label": "结束"}
+    }
+    nodes.append(end_node)
+    
+    edges.append({"id": "e1", "source": "start-1", "target": "llm-brainstorm", "sourceHandle": "right", "targetHandle": "left"})
+    edges.append({"id": "e2", "source": "llm-brainstorm", "target": "llm-write", "sourceHandle": "right", "targetHandle": "left"})
+    edges.append({"id": "e3", "source": "llm-write", "target": "end-1", "sourceHandle": "right", "targetHandle": "left"})
+    
+    return {
+        "name": "创意写作Agent",
+        "description": "创意写作助手，能够进行头脑风暴并创作各种类型的创意内容。",
+        "workflow_config": {"nodes": nodes, "edges": edges}
+    }
+
+
+def generate_batch_agents(db: Session, username: str = "admin"):
+    """批量生成Agent"""
+    print("=" * 60)
+    print("批量生成Agent")
+    print("=" * 60)
+    print()
+    
+    # 查找用户
+    user = db.query(User).filter(User.username == username).first()
+    if not user:
+        print(f"❌ 未找到用户 '{username}'，请先创建该用户")
+        return
+    print(f"✅ 找到用户: {user.username} (ID: {user.id})")
+    print()
+    
+    # 定义要生成的Agent列表
+    agent_generators = [
+        generate_text_summary_agent,
+        generate_code_review_agent,
+        generate_translation_agent,
+        generate_qa_agent,
+        generate_document_agent,
+        generate_data_analysis_agent,
+        generate_creative_writing_agent,
+    ]
+    
+    created_count = 0
+    updated_count = 0
+    failed_count = 0
+    
+    for generator in agent_generators:
+        try:
+            agent_data = generator(db, user)
+            agent_name = agent_data["name"]
+            
+            # 检查Agent是否已存在
+            existing_agent = db.query(Agent).filter(
+                Agent.name == agent_name,
+                Agent.user_id == user.id
+            ).first()
+            
+            if existing_agent:
+                existing_agent.workflow_config = agent_data["workflow_config"]
+                existing_agent.description = agent_data["description"]
+                existing_agent.updated_at = datetime.now()
+                existing_agent.status = "published"
+                updated_count += 1
+                print(f"⚠️  更新Agent: {agent_name}")
+            else:
+                agent = Agent(
+                    id=str(uuid.uuid4()),
+                    name=agent_name,
+                    description=agent_data["description"],
+                    workflow_config=agent_data["workflow_config"],
+                    status="published",
+                    user_id=user.id,
+                    version=1
+                )
+                db.add(agent)
+                created_count += 1
+                print(f"✅ 创建Agent: {agent_name}")
+        except Exception as e:
+            failed_count += 1
+            print(f"❌ 生成Agent失败: {generator.__name__} - {str(e)}")
+            import traceback
+            traceback.print_exc()
+    
+    try:
+        db.commit()
+        print()
+        print("=" * 60)
+        print("✅ 批量生成完成！")
+        print("=" * 60)
+        print(f"   - 新建: {created_count} 个")
+        print(f"   - 更新: {updated_count} 个")
+        print(f"   - 失败: {failed_count} 个")
+        print()
+        print("📋 生成的Agent列表：")
+        for generator in agent_generators:
+            agent_data = generator(db, user)
+            print(f"   • {agent_data['name']}")
+        print()
+    except Exception as e:
+        db.rollback()
+        print(f"❌ 提交失败: {str(e)}")
+        import traceback
+        traceback.print_exc()
+
+
+def main():
+    """主函数"""
+    db = SessionLocal()
+    try:
+        generate_batch_agents(db, username="admin")
+    finally:
+        db.close()
+
+
+if __name__ == "__main__":
+    main()