import { useState } from 'react'
import type { DatasetCreateResponse, JobRead, QaComparisonRequest, QaComparisonResult, QualityCheckRead } from '../types'
import { formatError } from '../lib/formatError'
import { qaApi } from '../services/api'

interface UseMapSelectionQaOptions {
  selectedProjectId: string | null
  latestSelectionDataset: DatasetCreateResponse | null
  loadQualityChecks: (projectId?: string | null) => Promise<QualityCheckRead[] | void>
  loadProjectData: (projectId: string) => Promise<unknown>
}

export function useMapSelectionQa({
  selectedProjectId,
  latestSelectionDataset,
  loadQualityChecks,
  loadProjectData,
}: UseMapSelectionQaOptions) {
  const [selectedMapQaReferenceDatasetId, setSelectedMapQaReferenceDatasetId] = useState('')
  const [mapSelectionQaRunning, setMapSelectionQaRunning] = useState(false)
  const [mapSelectionQaError, setMapSelectionQaError] = useState<string | null>(null)
  const [mapSelectionQaResult, setMapQaResult] = useState<QaComparisonResult | null>(null)
  const [latestMapSelectionQualityCheckId, setLatestMapSelectionQualityCheckId] = useState<string | null>(null)

  const runMapSelectionQa = async (candidateDataset = latestSelectionDataset) => {
    if (!selectedProjectId) {
      setMapSelectionQaError('Kies eerst een werkruimte om een kwaliteitscontrole te draaien.')
      return null
    }
    if (!candidateDataset) {
      setMapSelectionQaError('Save the map selection as a dataset before running QA/QC.')
      return null
    }
    if (!selectedMapQaReferenceDatasetId) {
      setMapSelectionQaError('Kies eerst een referentiebron voor de kwaliteitscontrole.')
      return null
    }
    if (candidateDataset.id === selectedMapQaReferenceDatasetId) {
      setMapSelectionQaError('Candidate and reference datasets must be different.')
      return null
    }

    setMapSelectionQaRunning(true)
    setMapSelectionQaError(null)
    setMapQaResult(null)
      setLatestMapSelectionQualityCheckId(null)
    try {
      const request: QaComparisonRequest = {
        candidate_dataset_id: candidateDataset.id,
        reference_dataset_id: selectedMapQaReferenceDatasetId,
        iou_threshold: 0.5,
        area_id: candidateDataset.area_id ?? null,
      }
      const job: JobRead = await qaApi.runQa(selectedProjectId, request)
      if (job.status === 'failed') {
        setMapSelectionQaError(job.error_message || 'Map selection QA/QC failed')
        return null
      }
      const payload = job.result_json
      if (!payload || typeof payload !== 'object') {
        setMapSelectionQaError('Map selection QA/QC result was not available')
        return null
      }
      const parsed = payload as unknown as QaComparisonResult
      if (!parsed || typeof parsed.status !== 'string') {
        setMapSelectionQaError('Map selection QA/QC result format was unexpected')
        return null
      }
      setMapQaResult(parsed)
      setLatestMapSelectionQualityCheckId(parsed.quality_check_id ?? null)
      await loadQualityChecks(selectedProjectId)
      await loadProjectData(selectedProjectId)
      return parsed
    } catch (error) {
      setMapSelectionQaError(formatError(error, 'Map selection QA/QC failed'))
      return null
    } finally {
      setMapSelectionQaRunning(false)
    }
  }

  return {
    selectedMapQaReferenceDatasetId,
    mapSelectionQaRunning,
    mapSelectionQaError,
    mapSelectionQaResult,
    latestMapSelectionQualityCheckId,
    runMapSelectionQa,
    setSelectedMapQaReferenceDatasetId,
  }
}