import { StickyNote } from "lucide-react";
import {AnnotationTaskStatus, AnnotationType, Classification, DataType, TemplateType} from "./annotation.model";
import {
  CheckCircleOutlined,
  ClockCircleOutlined,
  CloseCircleOutlined,
} from "@ant-design/icons";

export const AnnotationTaskStatusMap = {
  [AnnotationTaskStatus.ACTIVE]: {
    label: "活跃",
    value: AnnotationTaskStatus.ACTIVE,
    color: "#409f17ff",
    icon: <CheckCircleOutlined />,
  },
  [AnnotationTaskStatus.PROCESSING]: {
    label: "处理中",
    value: AnnotationTaskStatus.PROCESSING,
    color: "#2673e5",
    icon: <ClockCircleOutlined />,
  },
  [AnnotationTaskStatus.INACTIVE]: {
    label: "未激活",
    value: AnnotationTaskStatus.INACTIVE,
    color: "#4f4444ff",
    icon: <CloseCircleOutlined />,
  },
};

export function mapAnnotationTask(task: any) {
  // Normalize labeling project id from possible backend field names
  const labelingProjId = task?.labelingProjId || task?.labelingProjectId || task?.projId || task?.labeling_project_id || "";

  const statsArray = task?.statistics
    ? [
      { label: "准确率", value: task.statistics.accuracy ?? "-" },
      { label: "平均时长", value: task.statistics.averageTime ?? "-" },
      { label: "待复核", value: task.statistics.reviewCount ?? "-" },
    ]
    : [];

  return {
    ...task,
    id: task.id,
    // provide consistent field for components
    labelingProjId,
    projId: labelingProjId,
    name: task.name,
    description: task.description || "",
    datasetName: task.datasetName || task.dataset_name || "-",
    totalCount: task.totalCount ?? task.total_count ?? 0,
    annotatedCount: task.annotatedCount ?? task.annotated_count ?? 0,
    createdAt: task.createdAt || task.created_at || "-",
    updatedAt: task.updatedAt || task.updated_at || "-",
    icon: <StickyNote />,
    iconColor: "bg-blue-100",
    status: {
      label:
        task.status === "completed"
          ? "已完成"
          : task.status === "processing"
            ? "进行中"
            : task.status === "skipped"
              ? "已跳过"
              : "待开始",
      color: "bg-blue-100",
    },
    statistics: statsArray,
  };
}

export const DataTypeMap = {
  [DataType.TEXT]: {
    label: "文本",
    value: DataType.TEXT
  },
  [DataType.IMAGE]: {
    label: "图片",
    value: DataType.IMAGE
  },
  [DataType.AUDIO]: {
    label: "音频",
    value: DataType.AUDIO
  },
  [DataType.VIDEO]: {
    label: "视频",
    value: DataType.VIDEO
  },
  [DataType.PDF]: {
    label: "PDF文档",
    value: DataType.PDF
  },
  [DataType.TIMESERIES]: {
    label: "时间序列",
    value: DataType.TIMESERIES
  },
  [DataType.CHAT]: {
    label: "聊天数据",
    value: DataType.CHAT
  },
  [DataType.HTML]: {
    label: "HTML文档",
    value: DataType.HTML
  },
  [DataType.TABLE]: {
    label: "表格数据",
    value: DataType.TABLE
  },
}

export const ClassificationMap = {
  [Classification.AUDIO_SPEECH]: {
    label: "音频/语音处理",
    value: Classification.AUDIO_SPEECH
  },
  [Classification.CHAT]: {
    label: "聊天评估",
    value: Classification.CHAT
  },
  [Classification.COMPUTER_VISION]: {
    label: "计算机视觉",
    value: Classification.COMPUTER_VISION
  },
  [Classification.CONVERSATIONAL_AI]: {
    label: "对话AI",
    value: Classification.CONVERSATIONAL_AI
  },
  [Classification.GENERATIVE_AI]: {
    label: "生成式AI",
    value: Classification.GENERATIVE_AI
  },
  [Classification.NLP]: {
    label: "自然语言处理",
    value: Classification.NLP
  },
  [Classification.RANKING_SCORING]: {
    label: "排名与评分",
    value: Classification.RANKING_SCORING
  },
  [Classification.STRUCTURED_DATA]: {
    label: "结构化数据解析",
    value: Classification.STRUCTURED_DATA
  },
  [Classification.TIME_SERIES]: {
    label: "时间序列分析",
    value: Classification.TIME_SERIES
  },
  [Classification.VIDEO]: {
    label: "视频处理",
    value: Classification.VIDEO
  },
  [Classification.COMMUNITY]: {
    label: "社区贡献",
    value: Classification.COMMUNITY
  },
  [Classification.CUSTOM]: {
    label: "自定义",
    value: Classification.CUSTOM
  },
}

export const AnnotationTypeMap = {
  // ===== 音频/语音处理 =====
  [AnnotationType.ASR_SEGMENTS]: {
    label: "语音识别(分段)",
    value: AnnotationType.ASR_SEGMENTS
  },
  [AnnotationType.ASR]: {
    label: "语音识别",
    value: AnnotationType.ASR
  },
  [AnnotationType.CONVERSATION_ANALYSIS]: {
    label: "对话分析",
    value: AnnotationType.CONVERSATION_ANALYSIS
  },
  [AnnotationType.INTENT_CLASSIFICATION]: {
    label: "意图分类",
    value: AnnotationType.INTENT_CLASSIFICATION
  },
  [AnnotationType.SIGNAL_QUALITY]: {
    label: "信号质量检测",
    value: AnnotationType.SIGNAL_QUALITY
  },
  [AnnotationType.SOUND_EVENT_DETECTION]: {
    label: "声音事件检测",
    value: AnnotationType.SOUND_EVENT_DETECTION
  },
  [AnnotationType.SPEAKER_SEGMENTATION]: {
    label: "说话人分割",
    value: AnnotationType.SPEAKER_SEGMENTATION
  },
  [AnnotationType.SPEECH_TRANSCRIPTION]: {
    label: "语音转录",
    value: AnnotationType.SPEECH_TRANSCRIPTION
  },

  // ===== 聊天评估 =====
  [AnnotationType.AGENT_FINE_TUNE]: {
    label: "Agent微调(无LLM)",
    value: AnnotationType.AGENT_FINE_TUNE
  },
  [AnnotationType.AGENT_FINE_TUNE_LLM]: {
    label: "Agent微调(有LLM)",
    value: AnnotationType.AGENT_FINE_TUNE_LLM
  },
  [AnnotationType.RED_TEAMING]: {
    label: "红队测试",
    value: AnnotationType.RED_TEAMING
  },
  [AnnotationType.RLHF_EVALUATION]: {
    label: "RLHF对话评估",
    value: AnnotationType.RLHF_EVALUATION
  },
  [AnnotationType.CHATBOT_EVALUATION]: {
    label: "聊天机器人评估",
    value: AnnotationType.CHATBOT_EVALUATION
  },

  // ===== 计算机视觉 =====
  [AnnotationType.IMAGE_CAPTIONING]: {
    label: "图像描述",
    value: AnnotationType.IMAGE_CAPTIONING
  },
  [AnnotationType.IMAGE_CLASSIFICATION]: {
    label: "图像分类",
    value: AnnotationType.IMAGE_CLASSIFICATION
  },
  [AnnotationType.INVENTORY_TRACKING]: {
    label: "库存追踪",
    value: AnnotationType.INVENTORY_TRACKING
  },
  [AnnotationType.KEYPOINT_LABELING]: {
    label: "关键点标注",
    value: AnnotationType.KEYPOINT_LABELING
  },
  [AnnotationType.MEDICAL_IMAGE_CLASSIFICATION]: {
    label: "医学图像分类",
    value: AnnotationType.MEDICAL_IMAGE_CLASSIFICATION
  },
  [AnnotationType.MULTIPAGE_DOCUMENT]: {
    label: "多页文档标注",
    value: AnnotationType.MULTIPAGE_DOCUMENT
  },
  [AnnotationType.OBJECT_DETECTION]: {
    label: "目标检测",
    value: AnnotationType.OBJECT_DETECTION
  },
  [AnnotationType.OCR]: {
    label: "OCR识别",
    value: AnnotationType.OCR
  },
  [AnnotationType.PDF_OCR]: {
    label: "PDF OCR标注",
    value: AnnotationType.PDF_OCR
  },
  [AnnotationType.SEMANTIC_SEGMENTATION_MASK]: {
    label: "语义分割(掩码)",
    value: AnnotationType.SEMANTIC_SEGMENTATION_MASK
  },
  [AnnotationType.SEMANTIC_SEGMENTATION_POLYGON]: {
    label: "语义分割(多边形)",
    value: AnnotationType.SEMANTIC_SEGMENTATION_POLYGON
  },
  [AnnotationType.VISUAL_GENOME]: {
    label: "Visual Genome",
    value: AnnotationType.VISUAL_GENOME
  },
  [AnnotationType.VQA]: {
    label: "视觉问答",
    value: AnnotationType.VQA
  },

  // ===== 对话AI =====
  [AnnotationType.COREFERENCE_RESOLUTION]: {
    label: "共指消解",
    value: AnnotationType.COREFERENCE_RESOLUTION
  },
  [AnnotationType.SLOT_FILLING]: {
    label: "槽填充",
    value: AnnotationType.SLOT_FILLING
  },
  [AnnotationType.RESPONSE_GENERATION]: {
    label: "响应生成",
    value: AnnotationType.RESPONSE_GENERATION
  },
  [AnnotationType.RESPONSE_SELECTION]: {
    label: "响应选择",
    value: AnnotationType.RESPONSE_SELECTION
  },

  // ===== 生成式AI =====
  [AnnotationType.CHATBOT_ASSESSMENT]: {
    label: "聊天机器人评估",
    value: AnnotationType.CHATBOT_ASSESSMENT
  },
  [AnnotationType.RLHF_PREFERENCE]: {
    label: "RLHF人类偏好",
    value: AnnotationType.RLHF_PREFERENCE
  },
  [AnnotationType.LLM_RANKING]: {
    label: "LLM排名",
    value: AnnotationType.LLM_RANKING
  },
  [AnnotationType.LLM_GRADING]: {
    label: "LLM响应评分",
    value: AnnotationType.LLM_GRADING
  },
  [AnnotationType.SFT]: {
    label: "监督微调",
    value: AnnotationType.SFT
  },
  [AnnotationType.VISUAL_RANKING]: {
    label: "视觉排名",
    value: AnnotationType.VISUAL_RANKING
  },

  // ===== 自然语言处理 =====
  [AnnotationType.CONTENT_MODERATION]: {
    label: "内容审核",
    value: AnnotationType.CONTENT_MODERATION
  },
  [AnnotationType.MACHINE_TRANSLATION]: {
    label: "机器翻译",
    value: AnnotationType.MACHINE_TRANSLATION
  },
  [AnnotationType.NER]: {
    label: "命名实体识别",
    value: AnnotationType.NER
  },
  [AnnotationType.QUESTION_ANSWERING]: {
    label: "问答",
    value: AnnotationType.QUESTION_ANSWERING
  },
  [AnnotationType.RELATION_EXTRACTION]: {
    label: "关系抽取",
    value: AnnotationType.RELATION_EXTRACTION
  },
  [AnnotationType.TAXONOMY]: {
    label: "层级分类",
    value: AnnotationType.TAXONOMY
  },
  [AnnotationType.TEXT_CLASSIFICATION]: {
    label: "文本分类",
    value: AnnotationType.TEXT_CLASSIFICATION
  },
  [AnnotationType.TEXT_SUMMARIZATION]: {
    label: "文本摘要",
    value: AnnotationType.TEXT_SUMMARIZATION
  },

  // ===== 排名与评分 =====
  [AnnotationType.ASR_HYPOTHESES]: {
    label: "ASR假设选择",
    value: AnnotationType.ASR_HYPOTHESES
  },
  [AnnotationType.IMAGE_RETRIEVAL]: {
    label: "图像检索",
    value: AnnotationType.IMAGE_RETRIEVAL
  },
  [AnnotationType.DOCUMENT_RETRIEVAL]: {
    label: "文档检索",
    value: AnnotationType.DOCUMENT_RETRIEVAL
  },
  [AnnotationType.PAIRWISE_CLASSIFICATION]: {
    label: "成对分类",
    value: AnnotationType.PAIRWISE_CLASSIFICATION
  },
  [AnnotationType.PAIRWISE_REGRESSION]: {
    label: "成对回归",
    value: AnnotationType.PAIRWISE_REGRESSION
  },
  [AnnotationType.SERP_RANKING]: {
    label: "搜索排名",
    value: AnnotationType.SERP_RANKING
  },
  [AnnotationType.TEXT_TO_IMAGE]: {
    label: "文本生成图像",
    value: AnnotationType.TEXT_TO_IMAGE
  },

  // ===== 结构化数据解析 =====
  [AnnotationType.FREEFORM_METADATA]: {
    label: "自由格式元数据",
    value: AnnotationType.FREEFORM_METADATA
  },
  [AnnotationType.HTML_ENTITY_RECOGNITION]: {
    label: "HTML实体识别",
    value: AnnotationType.HTML_ENTITY_RECOGNITION
  },
  [AnnotationType.PDF_CLASSIFICATION]: {
    label: "PDF分类",
    value: AnnotationType.PDF_CLASSIFICATION
  },
  [AnnotationType.TABULAR_DATA]: {
    label: "表格数据标注",
    value: AnnotationType.TABULAR_DATA
  },

  // ===== 时间序列分析 =====
  [AnnotationType.ACTIVITY_RECOGNITION]: {
    label: "活动识别",
    value: AnnotationType.ACTIVITY_RECOGNITION
  },
  [AnnotationType.CHANGE_POINT_DETECTION]: {
    label: "变点检测",
    value: AnnotationType.CHANGE_POINT_DETECTION
  },
  [AnnotationType.ANOMALY_DETECTION]: {
    label: "异常检测",
    value: AnnotationType.ANOMALY_DETECTION
  },
  [AnnotationType.TIMESERIES_SIGNAL_QUALITY]: {
    label: "时序信号质量",
    value: AnnotationType.TIMESERIES_SIGNAL_QUALITY
  },
  [AnnotationType.TIMESERIES_FORECASTING]: {
    label: "时序预测",
    value: AnnotationType.TIMESERIES_FORECASTING
  },

  // ===== 视频处理 =====
  [AnnotationType.VIDEO_CLASSIFICATION]: {
    label: "视频分类",
    value: AnnotationType.VIDEO_CLASSIFICATION
  },
  [AnnotationType.VIDEO_FRAME_CLASSIFICATION]: {
    label: "视频帧分类",
    value: AnnotationType.VIDEO_FRAME_CLASSIFICATION
  },
  [AnnotationType.VIDEO_OBJECT_TRACKING]: {
    label: "视频目标追踪",
    value: AnnotationType.VIDEO_OBJECT_TRACKING
  },
  [AnnotationType.VIDEO_TIMELINE_SEGMENTATION]: {
    label: "视频时间线分割",
    value: AnnotationType.VIDEO_TIMELINE_SEGMENTATION
  },

  // ===== 社区贡献 =====
  [AnnotationType.MAMMOGRAM_CLASSIFICATION]: {
    label: "乳房X光分类",
    value: AnnotationType.MAMMOGRAM_CLASSIFICATION
  },
  [AnnotationType.HTML_NER_TAGGING]: {
    label: "HTML NER标注",
    value: AnnotationType.HTML_NER_TAGGING
  },
  [AnnotationType.INVOICE_NER_BIO]: {
    label: "发票NER(BIO)",
    value: AnnotationType.INVOICE_NER_BIO
  },
  [AnnotationType.OCR_INVOICE_PRE_NER]: {
    label: "OCR发票预NER",
    value: AnnotationType.OCR_INVOICE_PRE_NER
  },
  [AnnotationType.TWITTER_SENTIMENT]: {
    label: "Twitter情感分析",
    value: AnnotationType.TWITTER_SENTIMENT
  },

  // ===== 通用/遗留类型 =====
  [AnnotationType.CLASSIFICATION]: {
    label: "通用分类",
    value: AnnotationType.CLASSIFICATION
  },
  [AnnotationType.SEGMENTATION]: {
    label: "通用分割",
    value: AnnotationType.SEGMENTATION
  },
}

export const TemplateTypeMap = {
  [TemplateType.SYSTEM]: {
    label: "系统内置",
    value: TemplateType.SYSTEM
  },
  [TemplateType.CUSTOM]: {
    label: "自定义",
    value: TemplateType.CUSTOM
  },
}