import type { FC } from 'react'
import React, { useCallback, useMemo, useState } from 'react'
import useSWR from 'swr'
import { useRouter } from 'next/navigation'
import { useContext } from 'use-context-selector'
import { useTranslation } from 'react-i18next'
import { omit } from 'lodash-es'
import cn from 'classnames'
import { ArrowRightIcon } from '@heroicons/react/24/solid'
import SegmentCard from '../completed/SegmentCard'
import { FieldInfo } from '../metadata'
import style from '../completed/style.module.css'
import { DocumentContext } from '../index'
import s from './style.module.css'
import Button from '@/app/components/base/button'
import Divider from '@/app/components/base/divider'
import { ToastContext } from '@/app/components/base/toast'
import type { FullDocumentDetail, ProcessRuleResponse } from '@/models/datasets'
import type { CommonResponse } from '@/models/common'
import { asyncRunSafe } from '@/utils'
import { formatNumber } from '@/utils/format'
import { fetchIndexingEstimate, fetchProcessRule, pauseDocIndexing, resumeDocIndexing } from '@/service/datasets'
import DatasetDetailContext from '@/context/dataset-detail'
import StopEmbeddingModal from '@/app/components/datasets/create/stop-embedding-modal'
type Props = {
  detail?: FullDocumentDetail
  stopPosition?: 'top' | 'bottom'
  datasetId?: string
  documentId?: string
  indexingType?: string
}
const StopIcon: FC<{ className?: string }> = ({ className }) => {
  return 
}
const ResumeIcon: FC<{ className?: string }> = ({ className }) => {
  return 
}
const RuleDetail: FC<{ sourceData?: ProcessRuleResponse; docName?: string }> = ({ sourceData, docName }) => {
  const { t } = useTranslation()
  const segmentationRuleMap = {
    docName: t('datasetDocuments.embedding.docName'),
    mode: t('datasetDocuments.embedding.mode'),
    segmentLength: t('datasetDocuments.embedding.segmentLength'),
    textCleaning: t('datasetDocuments.embedding.textCleaning'),
  }
  const getRuleName = (key: string) => {
    if (key === 'remove_extra_spaces')
      return t('datasetCreation.stepTwo.removeExtraSpaces')
    if (key === 'remove_urls_emails')
      return t('datasetCreation.stepTwo.removeUrlEmails')
    if (key === 'remove_stopwords')
      return t('datasetCreation.stepTwo.removeStopwords')
  }
  const getValue = useCallback((field: string) => {
    let value: string | number | undefined = '-'
    switch (field) {
      case 'docName':
        value = docName
        break
      case 'mode':
        value = sourceData?.mode === 'automatic' ? (t('datasetDocuments.embedding.automatic') as string) : (t('datasetDocuments.embedding.custom') as string)
        break
      case 'segmentLength':
        value = sourceData?.rules?.segmentation?.max_tokens
        break
      default:
        value = sourceData?.mode === 'automatic'
          ? (t('datasetDocuments.embedding.automatic') as string)
          // eslint-disable-next-line array-callback-return
          : sourceData?.rules?.pre_processing_rules?.map((rule) => {
            if (rule.enabled)
              return getRuleName(rule.id)
          }).filter(Boolean).join(';')
        break
    }
    return value
  }, [sourceData, docName])
  return 
    {Object.keys(segmentationRuleMap).map((field) => {
      return 
    })}
  
}
const EmbeddingDetail: FC = ({ detail, stopPosition = 'top', datasetId: dstId, documentId: docId, indexingType }) => {
  const onTop = stopPosition === 'top'
  const { t } = useTranslation()
  const { notify } = useContext(ToastContext)
  const { datasetId = '', documentId = '' } = useContext(DocumentContext)
  const { indexingTechnique } = useContext(DatasetDetailContext)
  const localDatasetId = dstId ?? datasetId
  const localDocumentId = docId ?? documentId
  const localIndexingTechnique = indexingType ?? indexingTechnique
  // const { data: indexingStatusDetailFromApi, error: indexingStatusErr, mutate: statusMutate } = useSWR({
  //   action: 'fetchIndexingStatus',
  //   datasetId: localDatasetId,
  //   documentId: localDocumentId,
  // }, apiParams => fetchIndexingStatus(omit(apiParams, 'action')), {
  //   refreshInterval: 2500,
  //   revalidateOnFocus: false,
  // })
  const [indexingStatusDetail, setIndexingStatusDetail, getIndexingStatusDetail] = useGetState(null)
  const fetchIndexingStatus = async () => {
    const status = await doFetchIndexingStatus({ datasetId: localDatasetId, documentId: localDocumentId })
    setIndexingStatusDetail(status)
  }
  const [runId, setRunId, getRunId] = useGetState(null)
  const startQueryStatus = () => {
    const runId = setInterval(() => {
      const indexingStatusDetail = getIndexingStatusDetail()
      if (indexingStatusDetail?.indexing_status === 'completed') {
        // eslint-disable-next-line @typescript-eslint/no-use-before-define
        stopQueryStatus()
        return
      }
      fetchIndexingStatus()
    }, 2500)
    setRunId(runId)
  }
  const stopQueryStatus = () => {
    clearInterval(getRunId())
  }
  useEffect(() => {
    fetchIndexingStatus()
    startQueryStatus()
    return () => {
      stopQueryStatus()
    }
  }, [])
  const { data: indexingEstimateDetail, error: indexingEstimateErr } = useSWR({
    action: 'fetchIndexingEstimate',
    datasetId: localDatasetId,
    documentId: localDocumentId,
  }, apiParams => fetchIndexingEstimate(omit(apiParams, 'action')), {
    revalidateOnFocus: false,
  })
  const { data: ruleDetail, error: ruleError } = useSWR({
    action: 'fetchProcessRule',
    params: { documentId: localDocumentId },
  }, apiParams => fetchProcessRule(omit(apiParams, 'action')), {
    revalidateOnFocus: false,
  })
  const [showModal, setShowModal] = useState(false)
  const modalShowHandle = () => setShowModal(true)
  const modalCloseHandle = () => setShowModal(false)
  const router = useRouter()
  const navToDocument = () => {
    router.push(`/datasets/${localDatasetId}/documents/${localDocumentId}`)
  }
  const isEmbedding = useMemo(() => ['indexing', 'splitting', 'parsing', 'cleaning'].includes(indexingStatusDetail?.indexing_status || ''), [indexingStatusDetail])
  const isEmbeddingCompleted = useMemo(() => ['completed'].includes(indexingStatusDetail?.indexing_status || ''), [indexingStatusDetail])
  const isEmbeddingPaused = useMemo(() => ['paused'].includes(indexingStatusDetail?.indexing_status || ''), [indexingStatusDetail])
  const isEmbeddingError = useMemo(() => ['error'].includes(indexingStatusDetail?.indexing_status || ''), [indexingStatusDetail])
  const percent = useMemo(() => {
    const completedCount = indexingStatusDetail?.completed_segments || 0
    const totalCount = indexingStatusDetail?.total_segments || 0
    if (totalCount === 0)
      return 0
    const percent = Math.round(completedCount * 100 / totalCount)
    return percent > 100 ? 100 : percent
  }, [indexingStatusDetail])
  const handleSwitch = async () => {
    const opApi = isEmbedding ? pauseDocIndexing : resumeDocIndexing
    const [e] = await asyncRunSafe(opApi({ datasetId: localDatasetId, documentId: localDocumentId }) as Promise)
    if (!e) {
      notify({ type: 'success', message: t('common.actionMsg.modifiedSuccessfully') })
      setIndexingStatusDetail(null)
    }
    else {
      notify({ type: 'error', message: t('common.actionMsg.modificationFailed') })
    }
  }
  // if (!ruleDetail && !error)
  //   return 
  return (
    <>
      
        {isEmbedding && t('datasetDocuments.embedding.processing')}
        {isEmbeddingCompleted && t('datasetDocuments.embedding.completed')}
        {isEmbeddingPaused && t('datasetDocuments.embedding.paused')}
        {isEmbeddingError && t('datasetDocuments.embedding.error')}
        {onTop && isEmbedding && (
          
        )}
        {onTop && isEmbeddingPaused && (
          
        )}
      
      {/* progress bar */}
      
        {new Array(10).fill('').map((_, idx) => 
)}
        
       
      
        {t('datasetDocuments.embedding.segments')} {indexingStatusDetail?.completed_segments}/{indexingStatusDetail?.total_segments} · {percent}%
        {localIndexingTechnique === 'high_quaility' && (
          
            
            {t('datasetDocuments.embedding.highQuality')} · {t('datasetDocuments.embedding.estimate')}
            
{formatNumber(indexingEstimateDetail?.tokens || 0)}tokens
            (
${formatNumber(indexingEstimateDetail?.total_price || 0)})
          
 
        )}
        {localIndexingTechnique === 'economy' && (
          
            
            {t('datasetDocuments.embedding.economy')} · {t('datasetDocuments.embedding.estimate')}
            
0tokens
          
 
        )}
      
 
      
      {!onTop && (
        
          {isEmbedding && (
            
          )}
          {isEmbeddingPaused && (
            
          )}
          
         
      )}
      {onTop && <>
        
        {t('datasetDocuments.embedding.previewTip')}
        
          {[1, 2, 3].map(v => (
            
          ))}
        
      >}
      
    >
  )
}
export default EmbeddingDetail