import { Assistant, CallLog, KnowledgeBase, Voice, Workflow, AutoTestAssistant, TestType, TestMethod } from '../types';

export const mockAssistants: Assistant[] = [
  {
    id: '1',
    name: 'Customer Support Bot',
    callCount: 154,
    opener: 'Hello, how can I help you today?',
    prompt: 'You are a helpful customer service agent.',
    knowledgeBaseId: 'kb1',
    language: 'en',
    voice: 'alloy',
    speed: 1.0,
    hotwords: ['refund', 'order'],
  },
  {
    id: '2',
    name: 'Sales Agent',
    callCount: 89,
    opener: 'Hi! Are you interested in our new product?',
    prompt: 'You are an energetic sales representative.',
    knowledgeBaseId: 'kb2',
    language: 'zh',
    voice: 'echo',
    speed: 1.1,
    hotwords: ['price', 'discount'],
  },
];

export let mockWorkflows: Workflow[] = [
  {
    id: 'wf1',
    name: 'Lead Qualification Agent',
    nodeCount: 11,
    createdAt: '2024-03-01 10:00',
    updatedAt: '2024-03-05 14:30',
    nodes: [
      {
        name: "introduction",
        type: "conversation",
        isStart: true,
        metadata: { position: { x: 100, y: 100 } },
        prompt: "You are Morgan from GrowthPartners. Start with: 'Hello, this is Morgan from GrowthPartners. We help businesses improve their operational efficiency through custom software solutions. Do you have a few minutes to chat about how we might be able to help your business?' Use a friendly, consultative tone.",
        messagePlan: { firstMessage: "Hello, this is Morgan from GrowthPartners. Do you have a few minutes to chat about how we might be able to help your business?" }
      },
      {
        name: "need_discovery",
        type: "conversation",
        metadata: { position: { x: 400, y: 150 } },
        prompt: "Conduct need discovery by asking about: 1) Their business and industry, 2) Current systems/processes they use, 3) Biggest challenges with current approach...",
        variableExtractionPlan: {
          output: [
            { type: "string", title: "industry", description: "the user's industry or business type" },
            { type: "string", title: "company_size", description: "approximate number of employees" }
          ]
        }
      }
    ],
    edges: [
      { from: "introduction", to: "need_discovery" }
    ]
  },
  {
    id: 'wf2',
    name: '售后退款流程',
    nodeCount: 5,
    createdAt: '2024-03-01 10:00',
    updatedAt: '2024-03-05 14:30',
    nodes: [],
    edges: []
  },
];

export const mockKnowledgeBases: KnowledgeBase[] = [
  {
    id: 'kb1',
    name: 'Product Manuals',
    creator: 'Admin',
    createdAt: '2023-10-15',
    documents: [
      { id: 'd1', name: 'User Guide v1.pdf', size: '2.4 MB', uploadDate: '2023-10-15' },
      { id: 'd2', name: 'Warranty Info.docx', size: '1.1 MB', uploadDate: '2023-10-16' },
    ],
  },
  {
    id: 'kb2',
    name: 'Sales Scripts',
    creator: 'Sales Lead',
    createdAt: '2023-11-01',
    documents: [
      { id: 'd3', name: 'Objection Handling.pdf', size: '500 KB', uploadDate: '2023-11-01' },
    ],
  },
];

export const mockCallLogs: CallLog[] = [
  {
    id: 'c1',
    source: 'external',
    status: 'connected',
    startTime: '2023-11-20 10:30:00',
    duration: '5m 23s',
    agentName: 'Customer Support Bot',
  },
  {
    id: 'c2',
    source: 'debug',
    status: 'connected',
    startTime: '2023-11-20 11:15:00',
    duration: '1m 10s',
    agentName: 'Sales Agent',
  },
  {
    id: 'c3',
    source: 'external',
    status: 'missed',
    startTime: '2023-11-20 12:00:00',
    duration: '0s',
    agentName: 'Customer Support Bot',
  },
];

export const mockVoices: Voice[] = [
  { id: 'v1', name: 'Xiaoyun', vendor: 'Ali', gender: 'Female', language: 'zh', description: 'Gentle and professional.' },
  { id: 'v2', name: 'Kevin', vendor: 'Volcano', gender: 'Male', language: 'en', description: 'Deep and authoritative.' },
  { id: 'v3', name: 'Abby', vendor: 'Minimax', gender: 'Female', language: 'en', description: 'Cheerful and lively.' },
  { id: 'v4', name: 'Guang', vendor: 'Ali', gender: 'Male', language: 'zh', description: 'Standard newscast style.' },
  { id: 'v5', name: 'Doubao', vendor: 'Volcano', gender: 'Female', language: 'zh', description: 'Cute and young.' },
];

export const mockAutoTestAssistants: AutoTestAssistant[] = [
  {
    id: 'at1',
    name: '退款流程压力测试',
    type: TestType.FIXED,
    method: TestMethod.TEXT,
    targetAssistantId: '1',
    fixedWorkflowSteps: ['你好，我要退款', '订单号是123456', '谢谢'],
    intelligentPrompt: '',
    createdAt: '2024-03-10 09:00'
  },
  {
    id: 'at2',
    name: '愤怒的客户模拟',
    type: TestType.INTELLIGENT,
    method: TestMethod.AUDIO,
    targetAssistantId: '1',
    fixedWorkflowSteps: [],
    intelligentPrompt: '你是一个非常愤怒的客户，因为订单延迟了一周。你需要表达你的不满，并要求立即解决。你的语气必须很冲，不接受简单的道歉。',
    createdAt: '2024-03-11 14:20'
  }
];

export interface DashboardStats {
  totalCalls: number;
  answerRate: number;
  avgDuration: string;
  humanTransferCount: number;
  trend: { label: string; value: number }[];
}

export const getDashboardStats = (timeRange: 'week' | 'month' | 'year', assistantId: string): DashboardStats => {
  const multiplier = assistantId === 'all' ? 1 : (assistantId === '1' ? 0.6 : 0.4);
  const rangeMultiplier = timeRange === 'week' ? 1 : (timeRange === 'month' ? 4 : 52);
  const baseCalls = Math.floor(100 * rangeMultiplier * multiplier);
  const transfers = Math.floor(baseCalls * 0.15); 
  
  let points = 7;
  if (timeRange === 'month') points = 30;
  if (timeRange === 'year') points = 12;

  const trend = Array.from({ length: points }, (_, i) => {
    let label = `Day ${i + 1}`;
    if (timeRange === 'year') {
      const months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'];
      label = months[i];
    }
    return {
      label,
      value: Math.floor(Math.random() * 50 * multiplier) + 10
    };
  });

  return {
    totalCalls: baseCalls,
    answerRate: 85 + Math.floor(Math.random() * 10),
    avgDuration: `${Math.floor(2 + Math.random() * 3)}m ${Math.floor(Math.random() * 60)}s`,
    humanTransferCount: transfers,
    trend
  };
};