import os
import json
import time
import uuid
import logging
from datetime import datetime, timedelta
from flask import Blueprint, request, jsonify, current_app, render_template
from utils.db_manager import DatabaseManager
from utils.sensitive_filter import filter_dict
from utils.cache_manager import CacheManager

# 创建两个蓝图：一个用于页面渲染，一个用于API
workflow_bp = Blueprint('workflow', __name__, url_prefix='/workflow')
workflow_api_bp = Blueprint('workflow_api', __name__, url_prefix='/api/workflow')

logger = logging.getLogger('workflow_api')
logger.setLevel(logging.INFO)

# 缓存管理器
workflow_cache = CacheManager(name="workflows", memory_capacity=100, cache_duration=1)

# 添加工作流编辑器页面路由
@workflow_bp.route('/editor', methods=['GET'])
def workflow_editor():
    """渲染工作流编辑器页面"""
    return render_template('workflow_editor.html')

# 默认爬虫配置模板
DEFAULT_CRAWLER_TEMPLATES = [
    {
        "id": "default_weibo",
        "name": "微博热门话题",
        "description": "抓取微博热门话题及相关评论",
        "icon": "fab fa-weibo",
        "config": {
            "source": "weibo",
            "crawlDepth": 2,
            "interval": 3600,
            "maxRetries": 3,
            "timeout": 30,
            "maxConcurrent": 2,
            "userAgent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
            "filters": {
                "minComments": 10,
                "minLikes": 50,
                "excludeKeywords": []
            }
        }
    },
    {
        "id": "weibo_trending",
        "name": "微博热搜榜",
        "description": "抓取微博热搜榜单内容",
        "icon": "fas fa-fire",
        "config": {
            "source": "weibo_trending",
            "crawlDepth": 1,
            "interval": 1800,
            "maxRetries": 3,
            "timeout": 20,
            "maxConcurrent": 1,
            "filters": {
                "topN": 50,
                "excludeKeywords": []
            }
        }
    }
]

# 默认分析流程模板
DEFAULT_ANALYSIS_TEMPLATES = [
    {
        "id": "sentiment_analysis",
        "name": "情感分析流程",
        "description": "对文本进行情感分析",
        "icon": "fas fa-smile",
        "components": [
            {
                "id": "data_source",
                "type": "data_source",
                "name": "数据源",
                "config": {
                    "source_type": "database",
                    "table": "comments",
                    "filter": {
                        "timeRange": "1d"
                    }
                },
                "position": {"x": 100, "y": 100}
            },
            {
                "id": "text_preprocessing",
                "type": "preprocessing",
                "name": "文本预处理",
                "config": {
                    "removeStopwords": True,
                    "removeURLs": True,
                    "removeEmojis": False
                },
                "position": {"x": 300, "y": 100}
            },
            {
                "id": "sentiment_model",
                "type": "model",
                "name": "情感分析模型",
                "config": {
                    "model_type": "sentiment",
                    "api": "openai",
                    "optimize_for": "balanced"
                },
                "position": {"x": 500, "y": 100}
            },
            {
                "id": "visualization",
                "type": "visualization",
                "name": "可视化",
                "config": {
                    "chart_type": "pie",
                    "title": "情感分布"
                },
                "position": {"x": 700, "y": 100}
            }
        ],
        "connections": [
            {"source": "data_source", "target": "text_preprocessing"},
            {"source": "text_preprocessing", "target": "sentiment_model"},
            {"source": "sentiment_model", "target": "visualization"}
        ]
    },
    {
        "id": "topic_analysis",
        "name": "话题分析流程",
        "description": "对文本进行话题分类和关键词提取",
        "icon": "fas fa-tasks",
        "components": [
            {
                "id": "data_source",
                "type": "data_source",
                "name": "数据源",
                "config": {
                    "source_type": "database",
                    "table": "weibo_posts",
                    "filter": {
                        "timeRange": "7d"
                    }
                },
                "position": {"x": 100, "y": 100}
            },
            {
                "id": "text_preprocessing",
                "type": "preprocessing",
                "name": "文本预处理",
                "config": {
                    "removeStopwords": True,
                    "removeURLs": True,
                    "removeEmojis": True
                },
                "position": {"x": 300, "y": 100}
            },
            {
                "id": "topic_model",
                "type": "model",
                "name": "话题分类模型",
                "config": {
                    "model_type": "topic_classification",
                    "api": "deepseek",
                    "optimize_for": "performance"
                },
                "position": {"x": 500, "y": 50}
            },
            {
                "id": "keyword_model",
                "type": "model",
                "name": "关键词提取模型",
                "config": {
                    "model_type": "keyword_extraction",
                    "api": "openai",
                    "optimize_for": "balanced"
                },
                "position": {"x": 500, "y": 150}
            },
            {
                "id": "topic_viz",
                "type": "visualization",
                "name": "话题分布",
                "config": {
                    "chart_type": "bar",
                    "title": "话题分布"
                },
                "position": {"x": 700, "y": 50}
            },
            {
                "id": "keyword_viz",
                "type": "visualization",
                "name": "关键词云",
                "config": {
                    "chart_type": "wordcloud",
                    "title": "热门关键词"
                },
                "position": {"x": 700, "y": 150}
            }
        ],
        "connections": [
            {"source": "data_source", "target": "text_preprocessing"},
            {"source": "text_preprocessing", "target": "topic_model"},
            {"source": "text_preprocessing", "target": "keyword_model"},
            {"source": "topic_model", "target": "topic_viz"},
            {"source": "keyword_model", "target": "keyword_viz"}
        ]
    }
]

# 默认可用组件
AVAILABLE_COMPONENTS = {
    "data_source": [
        {
            "id": "database",
            "name": "数据库",
            "description": "从系统数据库获取数据",
            "config_schema": {
                "table": {"type": "string", "description": "数据表名", "required": True},
                "filter": {"type": "object", "description": "数据过滤条件"}
            }
        },
        {
            "id": "api",
            "name": "API接口",
            "description": "从外部API获取数据",
            "config_schema": {
                "url": {"type": "string", "description": "API URL", "required": True},
                "method": {"type": "string", "description": "请求方法", "default": "GET"},
                "headers": {"type": "object", "description": "请求头"},
                "params": {"type": "object", "description": "请求参数"}
            }
        },
        {
            "id": "csv",
            "name": "CSV文件",
            "description": "从CSV文件导入数据",
            "config_schema": {
                "file_path": {"type": "string", "description": "文件路径", "required": True},
                "encoding": {"type": "string", "description": "文件编码", "default": "utf-8"},
                "delimiter": {"type": "string", "description": "分隔符", "default": ","}
            }
        }
    ],
    "preprocessing": [
        {
            "id": "text_preprocessing",
            "name": "文本预处理",
            "description": "清洗和规范化文本数据",
            "config_schema": {
                "removeStopwords": {"type": "boolean", "description": "去除停用词", "default": True},
                "removeURLs": {"type": "boolean", "description": "去除URL", "default": True},
                "removeEmojis": {"type": "boolean", "description": "去除表情符号", "default": False},
                "lowercase": {"type": "boolean", "description": "转为小写", "default": True}
            }
        },
        {
            "id": "tokenization",
            "name": "分词",
            "description": "将文本切分为词语或标记",
            "config_schema": {
                "method": {"type": "string", "description": "分词方法", "default": "jieba"},
                "pos_tagging": {"type": "boolean", "description": "进行词性标注", "default": False}
            }
        },
        {
            "id": "feature_extraction",
            "name": "特征提取",
            "description": "从文本提取数值特征",
            "config_schema": {
                "method": {"type": "string", "description": "特征提取方法", "default": "tfidf"},
                "max_features": {"type": "integer", "description": "最大特征数", "default": 1000}
            }
        }
    ],
    "model": [
        {
            "id": "sentiment",
            "name": "情感分析",
            "description": "分析文本情感倾向",
            "config_schema": {
                "api": {"type": "string", "description": "使用的API", "default": "openai"},
                "model_type": {"type": "string", "description": "模型类型", "default": "sentiment_analysis"},
                "optimize_for": {"type": "string", "description": "优化目标", "default": "balanced"}
            }
        },
        {
            "id": "topic_classification",
            "name": "话题分类",
            "description": "对文本进行话题分类",
            "config_schema": {
                "api": {"type": "string", "description": "使用的API", "default": "deepseek"},
                "model_type": {"type": "string", "description": "模型类型", "default": "topic_classification"},
                "optimize_for": {"type": "string", "description": "优化目标", "default": "performance"}
            }
        },
        {
            "id": "keyword_extraction",
            "name": "关键词提取",
            "description": "从文本中提取关键词",
            "config_schema": {
                "api": {"type": "string", "description": "使用的API", "default": "openai"},
                "model_type": {"type": "string", "description": "模型类型", "default": "keyword_extraction"},
                "optimize_for": {"type": "string", "description": "优化目标", "default": "balanced"}
            }
        },
        {
            "id": "custom_ai",
            "name": "自定义AI模型",
            "description": "使用自定义AI模型进行分析",
            "config_schema": {
                "model_path": {"type": "string", "description": "模型路径", "required": True},
                "model_type": {"type": "string", "description": "模型类型", "required": True}
            }
        }
    ],
    "visualization": [
        {
            "id": "line_chart",
            "name": "折线图",
            "description": "展示数据随时间的变化趋势",
            "config_schema": {
                "title": {"type": "string", "description": "图表标题", "default": "时间趋势"},
                "x_axis": {"type": "string", "description": "X轴字段", "default": "time"},
                "y_axis": {"type": "string", "description": "Y轴字段", "default": "value"},
                "color": {"type": "string", "description": "线条颜色", "default": "#1890ff"}
            }
        },
        {
            "id": "bar_chart",
            "name": "柱状图",
            "description": "展示不同类别的数据对比",
            "config_schema": {
                "title": {"type": "string", "description": "图表标题", "default": "数据对比"},
                "x_axis": {"type": "string", "description": "X轴字段", "default": "category"},
                "y_axis": {"type": "string", "description": "Y轴字段", "default": "value"}
            }
        },
        {
            "id": "pie_chart",
            "name": "饼图",
            "description": "展示数据的构成比例",
            "config_schema": {
                "title": {"type": "string", "description": "图表标题", "default": "比例分布"},
                "value_field": {"type": "string", "description": "值字段", "default": "value"},
                "label_field": {"type": "string", "description": "标签字段", "default": "label"}
            }
        },
        {
            "id": "wordcloud",
            "name": "词云图",
            "description": "直观展示文本中的高频词",
            "config_schema": {
                "title": {"type": "string", "description": "图表标题", "default": "关键词云"},
                "max_words": {"type": "integer", "description": "最大词数", "default": 100},
                "color_scheme": {"type": "string", "description": "配色方案", "default": "viridis"}
            }
        },
        {
            "id": "heatmap",
            "name": "热力图",
            "description": "展示数据的密度分布",
            "config_schema": {
                "title": {"type": "string", "description": "图表标题", "default": "热力分布"},
                "x_axis": {"type": "string", "description": "X轴字段", "default": "x"},
                "y_axis": {"type": "string", "description": "Y轴字段", "default": "y"},
                "value_field": {"type": "string", "description": "值字段", "default": "value"}
            }
        }
    ]
}

@workflow_api_bp.route('/crawler-templates', methods=['GET'])
def get_crawler_templates():
    """获取爬虫配置模板列表"""
    # 从缓存获取
    templates = workflow_cache.get('crawler_templates')
    if templates is None:
        # 从数据库获取用户定义的模板
        db = DatabaseManager.get_connection()
        cursor = db.cursor()
        cursor.execute("""
            SELECT id, name, description, icon, config 
            FROM crawler_templates 
            WHERE deleted = 0 
            ORDER BY created_at DESC
        """)
        user_templates = cursor.fetchall()
        cursor.close()
        
        # 结合默认模板
        templates = DEFAULT_CRAWLER_TEMPLATES + list(user_templates)
        
        # 缓存结果
        workflow_cache.set('crawler_templates', templates)
    
    return jsonify({
        'success': True,
        'data': filter_dict(templates)
    })

@workflow_api_bp.route('/crawler-templates/<template_id>', methods=['GET'])
def get_crawler_template(template_id):
    """获取指定爬虫配置模板"""
    # 查找默认模板
    for template in DEFAULT_CRAWLER_TEMPLATES:
        if template['id'] == template_id:
            return jsonify({
                'success': True,
                'data': filter_dict(template)
            })
    
    # 从数据库查找用户模板
    db = DatabaseManager.get_connection()
    cursor = db.cursor()
    cursor.execute("""
        SELECT id, name, description, icon, config 
        FROM crawler_templates 
        WHERE id = %s AND deleted = 0
    """, (template_id,))
    template = cursor.fetchone()
    cursor.close()
    
    if not template:
        return jsonify({
            'success': False,
            'message': f"未找到模板: {template_id}"
        }), 404
    
    return jsonify({
        'success': True,
        'data': filter_dict(template)
    })

@workflow_api_bp.route('/crawler-templates', methods=['POST'])
def create_crawler_template():
    """创建爬虫配置模板"""
    data = request.json
    required_fields = ['name', 'description', 'config']
    
    # 验证必要字段
    for field in required_fields:
        if field not in data:
            return jsonify({
                'success': False,
                'message': f"缺少必要字段: {field}"
            }), 400
    
    # 生成ID
    template_id = f"template_{int(time.time())}_{uuid.uuid4().hex[:8]}"
    
    # 准备数据
    template = {
        'id': template_id,
        'name': data['name'],
        'description': data['description'],
        'icon': data.get('icon', 'fas fa-spider'),
        'config': data['config'],
        'created_at': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
        'updated_at': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
        'deleted': 0
    }
    
    # 保存到数据库
    db = DatabaseManager.get_connection()
    cursor = db.cursor()
    try:
        cursor.execute("""
            INSERT INTO crawler_templates 
            (id, name, description, icon, config, created_at, updated_at, deleted)
            VALUES (%s, %s, %s, %s, %s, %s, %s, %s)
        """, (
            template['id'], 
            template['name'],
            template['description'],
            template['icon'],
            json.dumps(template['config']),
            template['created_at'],
            template['updated_at'],
            template['deleted']
        ))
        db.commit()
        
        # 清除缓存
        workflow_cache.invalidate('crawler_templates')
        
        return jsonify({
            'success': True,
            'data': filter_dict(template)
        }), 201
    except Exception as e:
        db.rollback()
        logger.error(f"创建爬虫模板失败: {e}")
        return jsonify({
            'success': False,
            'message': f"创建模板失败: {str(e)}"
        }), 500
    finally:
        cursor.close()

@workflow_api_bp.route('/crawler-templates/<template_id>', methods=['PUT'])
def update_crawler_template(template_id):
    """更新爬虫配置模板"""
    data = request.json
    
    # 验证模板是否存在
    db = DatabaseManager.get_connection()
    cursor = db.cursor()
    cursor.execute("""
        SELECT id FROM crawler_templates 
        WHERE id = %s AND deleted = 0
    """, (template_id,))
    exists = cursor.fetchone()
    
    if not exists:
        cursor.close()
        return jsonify({
            'success': False,
            'message': f"未找到模板: {template_id}"
        }), 404
    
    # 准备更新数据
    update_data = {}
    if 'name' in data:
        update_data['name'] = data['name']
    if 'description' in data:
        update_data['description'] = data['description']
    if 'icon' in data:
        update_data['icon'] = data['icon']
    if 'config' in data:
        update_data['config'] = json.dumps(data['config'])
    
    update_data['updated_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
    
    # 构建SQL语句
    sql = "UPDATE crawler_templates SET "
    sql += ", ".join([f"{key} = %s" for key in update_data.keys()])
    sql += " WHERE id = %s"
    
    # 执行更新
    try:
        cursor.execute(sql, list(update_data.values()) + [template_id])
        db.commit()
        
        # 清除缓存
        workflow_cache.invalidate('crawler_templates')
        
        return jsonify({
            'success': True,
            'message': "模板更新成功"
        })
    except Exception as e:
        db.rollback()
        logger.error(f"更新爬虫模板失败: {e}")
        return jsonify({
            'success': False,
            'message': f"更新模板失败: {str(e)}"
        }), 500
    finally:
        cursor.close()

@workflow_api_bp.route('/crawler-templates/<template_id>', methods=['DELETE'])
def delete_crawler_template(template_id):
    """删除爬虫配置模板"""
    # 验证模板是否存在
    db = DatabaseManager.get_connection()
    cursor = db.cursor()
    cursor.execute("""
        SELECT id FROM crawler_templates 
        WHERE id = %s AND deleted = 0
    """, (template_id,))
    exists = cursor.fetchone()
    
    if not exists:
        cursor.close()
        return jsonify({
            'success': False,
            'message': f"未找到模板: {template_id}"
        }), 404
    
    # 软删除
    try:
        cursor.execute("""
            UPDATE crawler_templates 
            SET deleted = 1, updated_at = %s
            WHERE id = %s
        """, (datetime.now().strftime('%Y-%m-%d %H:%M:%S'), template_id))
        db.commit()
        
        # 清除缓存
        workflow_cache.invalidate('crawler_templates')
        
        return jsonify({
            'success': True,
            'message': "模板删除成功"
        })
    except Exception as e:
        db.rollback()
        logger.error(f"删除爬虫模板失败: {e}")
        return jsonify({
            'success': False,
            'message': f"删除模板失败: {str(e)}"
        }), 500
    finally:
        cursor.close()

@workflow_api_bp.route('/analysis-templates', methods=['GET'])
def get_analysis_templates():
    """获取分析流程模板列表"""
    # 从缓存获取
    templates = workflow_cache.get('analysis_templates')
    if templates is None:
        # 从数据库获取用户定义的模板
        db = DatabaseManager.get_connection()
        cursor = db.cursor()
        cursor.execute("""
            SELECT id, name, description, icon, components, connections 
            FROM analysis_templates 
            WHERE deleted = 0 
            ORDER BY created_at DESC
        """)
        user_templates = cursor.fetchall()
        cursor.close()
        
        # 结合默认模板
        templates = DEFAULT_ANALYSIS_TEMPLATES + list(user_templates)
        
        # 缓存结果
        workflow_cache.set('analysis_templates', templates)
    
    return jsonify({
        'success': True,
        'data': filter_dict(templates)
    })

@workflow_api_bp.route('/analysis-templates/<template_id>', methods=['GET'])
def get_analysis_template(template_id):
    """获取指定分析流程模板"""
    # 查找默认模板
    for template in DEFAULT_ANALYSIS_TEMPLATES:
        if template['id'] == template_id:
            return jsonify({
                'success': True,
                'data': filter_dict(template)
            })
    
    # 从数据库查找用户模板
    db = DatabaseManager.get_connection()
    cursor = db.cursor()
    cursor.execute("""
        SELECT id, name, description, icon, components, connections 
        FROM analysis_templates 
        WHERE id = %s AND deleted = 0
    """, (template_id,))
    template = cursor.fetchone()
    cursor.close()
    
    if not template:
        return jsonify({
            'success': False,
            'message': f"未找到模板: {template_id}"
        }), 404
    
    return jsonify({
        'success': True,
        'data': filter_dict(template)
    })

@workflow_api_bp.route('/analysis-templates', methods=['POST'])
def create_analysis_template():
    """创建分析流程模板"""
    data = request.json
    required_fields = ['name', 'description', 'components', 'connections']
    
    # 验证必要字段
    for field in required_fields:
        if field not in data:
            return jsonify({
                'success': False,
                'message': f"缺少必要字段: {field}"
            }), 400
    
    # 生成ID
    template_id = f"template_{int(time.time())}_{uuid.uuid4().hex[:8]}"
    
    # 准备数据
    template = {
        'id': template_id,
        'name': data['name'],
        'description': data['description'],
        'icon': data.get('icon', 'fas fa-chart-line'),
        'components': data['components'],
        'connections': data['connections'],
        'created_at': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
        'updated_at': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
        'deleted': 0
    }
    
    # 保存到数据库
    db = DatabaseManager.get_connection()
    cursor = db.cursor()
    try:
        cursor.execute("""
            INSERT INTO analysis_templates 
            (id, name, description, icon, components, connections, created_at, updated_at, deleted)
            VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
        """, (
            template['id'], 
            template['name'],
            template['description'],
            template['icon'],
            json.dumps(template['components']),
            json.dumps(template['connections']),
            template['created_at'],
            template['updated_at'],
            template['deleted']
        ))
        db.commit()
        
        # 清除缓存
        workflow_cache.invalidate('analysis_templates')
        
        return jsonify({
            'success': True,
            'data': filter_dict(template)
        }), 201
    except Exception as e:
        db.rollback()
        logger.error(f"创建分析模板失败: {e}")
        return jsonify({
            'success': False,
            'message': f"创建模板失败: {str(e)}"
        }), 500
    finally:
        cursor.close()

@workflow_api_bp.route('/analysis-templates/<template_id>', methods=['PUT'])
def update_analysis_template(template_id):
    """更新分析流程模板"""
    data = request.json
    
    # 验证模板是否存在
    db = DatabaseManager.get_connection()
    cursor = db.cursor()
    cursor.execute("""
        SELECT id FROM analysis_templates 
        WHERE id = %s AND deleted = 0
    """, (template_id,))
    exists = cursor.fetchone()
    
    if not exists:
        cursor.close()
        return jsonify({
            'success': False,
            'message': f"未找到模板: {template_id}"
        }), 404
    
    # 准备更新数据
    update_data = {}
    if 'name' in data:
        update_data['name'] = data['name']
    if 'description' in data:
        update_data['description'] = data['description']
    if 'icon' in data:
        update_data['icon'] = data['icon']
    if 'components' in data:
        update_data['components'] = json.dumps(data['components'])
    if 'connections' in data:
        update_data['connections'] = json.dumps(data['connections'])
    
    update_data['updated_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
    
    # 构建SQL语句
    sql = "UPDATE analysis_templates SET "
    sql += ", ".join([f"{key} = %s" for key in update_data.keys()])
    sql += " WHERE id = %s"
    
    # 执行更新
    try:
        cursor.execute(sql, list(update_data.values()) + [template_id])
        db.commit()
        
        # 清除缓存
        workflow_cache.invalidate('analysis_templates')
        
        return jsonify({
            'success': True,
            'message': "模板更新成功"
        })
    except Exception as e:
        db.rollback()
        logger.error(f"更新分析模板失败: {e}")
        return jsonify({
            'success': False,
            'message': f"更新模板失败: {str(e)}"
        }), 500
    finally:
        cursor.close()

@workflow_api_bp.route('/analysis-templates/<template_id>', methods=['DELETE'])
def delete_analysis_template(template_id):
    """删除分析流程模板"""
    # 验证模板是否存在
    db = DatabaseManager.get_connection()
    cursor = db.cursor()
    cursor.execute("""
        SELECT id FROM analysis_templates 
        WHERE id = %s AND deleted = 0
    """, (template_id,))
    exists = cursor.fetchone()
    
    if not exists:
        cursor.close()
        return jsonify({
            'success': False,
            'message': f"未找到模板: {template_id}"
        }), 404
    
    # 软删除
    try:
        cursor.execute("""
            UPDATE analysis_templates 
            SET deleted = 1, updated_at = %s
            WHERE id = %s
        """, (datetime.now().strftime('%Y-%m-%d %H:%M:%S'), template_id))
        db.commit()
        
        # 清除缓存
        workflow_cache.invalidate('analysis_templates')
        
        return jsonify({
            'success': True,
            'message': "模板删除成功"
        })
    except Exception as e:
        db.rollback()
        logger.error(f"删除分析模板失败: {e}")
        return jsonify({
            'success': False,
            'message': f"删除模板失败: {str(e)}"
        }), 500
    finally:
        cursor.close()

@workflow_api_bp.route('/components', methods=['GET'])
def get_available_components():
    """获取可用组件列表"""
    return jsonify({
        'success': True,
        'data': filter_dict(AVAILABLE_COMPONENTS)
    })

@workflow_api_bp.route('/run-workflow', methods=['POST'])
def run_workflow():
    """执行工作流"""
    data = request.json
    
    # 验证必要字段
    if 'components' not in data or 'connections' not in data:
        return jsonify({
            'success': False,
            'message': "缺少必要字段: components 或 connections"
        }), 400
    
    # 这里是执行工作流逻辑的占位符
    # 实际实现需要根据组件类型和连接关系建立执行计划并执行
    
    # 记录执行请求
    logger.info(f"收到工作流执行请求，组件数量: {len(data['components'])}, 连接数量: {len(data['connections'])}")
    
    # 创建任务ID
    task_id = f"task_{int(time.time())}_{uuid.uuid4().hex[:8]}"
    
    # 返回任务ID
    return jsonify({
        'success': True,
        'message': "工作流执行请求已提交",
        'data': {
            'task_id': task_id,
            'status': 'pending'
        }
    })

@workflow_api_bp.route('/task-status/<task_id>', methods=['GET'])
def get_task_status(task_id):
    """获取任务执行状态"""
    # 这里是获取任务状态的占位符
    # 实际实现需要查询任务执行状态
    
    # 示例状态
    status = {
        'task_id': task_id,
        'status': 'running',
        'progress': 45,
        'message': "正在执行数据预处理",
        'started_at': (datetime.now() - timedelta(minutes=2)).strftime('%Y-%m-%d %H:%M:%S'),
        'updated_at': datetime.now().strftime('%Y-%m-%d %H:%M:%S')
    }
    
    return jsonify({
        'success': True,
        'data': status
    })

@workflow_api_bp.route('/save', methods=['POST'])
def save_workflow():
    """保存工作流"""
    # ... existing code ...

@workflow_api_bp.route('/<workflow_id>', methods=['GET'])
def get_workflow(workflow_id):
    """获取工作流"""
    # ... existing code ...

@workflow_api_bp.route('/<workflow_id>', methods=['DELETE'])
def delete_workflow(workflow_id):
    """删除工作流"""
    # ... existing code ...