'use client'

import { useState, useEffect } from 'react'
import {
  Dialog,
  DialogContent,
  DialogDescription,
  DialogFooter,
  DialogHeader,
  DialogTitle,
} from './ui/dialog'
import { Sparkles, CheckCircle2, Loader2, Tag } from 'lucide-react'
import { toast } from 'sonner'
import { useLanguage } from '@/lib/i18n'
import { useAiConsent } from '@/components/legal/ai-consent-provider'
import type { AutoLabelSuggestion, SuggestedLabel } from '@/lib/ai/services'
import { cn } from '@/lib/utils'

interface AutoLabelSuggestionDialogProps {
  open: boolean
  onOpenChange: (open: boolean) => void
  notebookId: string | null
  onLabelsCreated: () => void
}

export function AutoLabelSuggestionDialog({
  open,
  onOpenChange,
  notebookId,
  onLabelsCreated,
}: AutoLabelSuggestionDialogProps) {
  const { t } = useLanguage()
  const { requestAiConsent } = useAiConsent()
  const [suggestions, setSuggestions] = useState<AutoLabelSuggestion | null>(null)
  const [loading, setLoading] = useState(false)
  const [creating, setCreating] = useState(false)
  const [selectedLabels, setSelectedLabels] = useState<Set<string>>(new Set())

  useEffect(() => {
    if (open && notebookId) {
      fetchSuggestions()
    } else {
      setSuggestions(null)
      setSelectedLabels(new Set())
    }
  }, [open, notebookId])

  const fetchSuggestions = async () => {
    if (!notebookId) return

    const consented = await requestAiConsent()
    if (!consented) return

    setLoading(true)
    try {
      const response = await fetch('/api/ai/auto-labels', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        credentials: 'include',
        body: JSON.stringify({
          notebookId,
          language: document.documentElement.lang || 'en',
        }),
      })

      const data = await response.json()

      if (data.success && data.data) {
        setSuggestions(data.data)
        const allLabelNames = new Set<string>(data.data.suggestedLabels.map((l: SuggestedLabel) => l.name as string))
        setSelectedLabels(allLabelNames)
      } else {
        if (data.message) {
          toast.info(data.message)
        } else {
          toast.info(t('ai.autoLabels.noSuggestions') || 'Pas assez de notes pour générer des labels (minimum 15)')
        }
        onOpenChange(false)
      }
    } catch (error) {
      console.error('Failed to fetch label suggestions:', error)
      toast.error(t('ai.autoLabels.error'))
      onOpenChange(false)
    } finally {
      setLoading(false)
    }
  }

  const toggleLabelSelection = (labelName: string) => {
    const newSelected = new Set(selectedLabels)
    if (newSelected.has(labelName)) {
      newSelected.delete(labelName)
    } else {
      newSelected.add(labelName)
    }
    setSelectedLabels(newSelected)
  }

  const handleCreateLabels = async () => {
    if (!suggestions || selectedLabels.size === 0) {
      toast.error(t('ai.autoLabels.noLabelsSelected'))
      return
    }

    setCreating(true)
    try {
      const response = await fetch('/api/ai/auto-labels', {
        method: 'PUT',
        headers: { 'Content-Type': 'application/json' },
        credentials: 'include',
        body: JSON.stringify({
          suggestions,
          selectedLabels: Array.from(selectedLabels),
        }),
      })

      const data = await response.json()

      if (data.success) {
        toast.success(t('ai.autoLabels.created', { count: data.data.createdCount }))
        onLabelsCreated()
        onOpenChange(false)
      } else {
        toast.error(data.error || t('ai.autoLabels.error'))
      }
    } catch (error) {
      console.error('Failed to create labels:', error)
      toast.error(t('ai.autoLabels.error'))
    } finally {
      setCreating(false)
    }
  }

  if (loading) {
    return (
      <Dialog open={open} onOpenChange={onOpenChange}>
        <DialogContent className="max-w-md">
          <DialogHeader>
            <DialogTitle className="sr-only">{t('ai.autoLabels.analyzing')}</DialogTitle>
          </DialogHeader>
          <div className="flex flex-col items-center justify-center py-12">
            <div className="w-16 h-16 rounded-full border border-dashed border-brand-accent/20 flex items-center justify-center mb-4">
              <Loader2 className="h-6 w-6 animate-spin text-brand-accent" />
            </div>
            <p className="text-[10px] text-muted-foreground uppercase tracking-widest font-bold">
              {t('ai.autoLabels.analyzing')}
            </p>
          </div>
        </DialogContent>
      </Dialog>
    )
  }

  if (!suggestions) {
    return null
  }

  return (
    <Dialog open={open} onOpenChange={onOpenChange}>
      <DialogContent className="max-w-md">
        <DialogHeader>
          <DialogTitle className="flex items-center gap-2">
            <Sparkles className="h-5 w-5 text-brand-accent" />
            {t('ai.autoLabels.title')}
          </DialogTitle>
          <DialogDescription>
            {t('ai.autoLabels.description', {
              notebook: suggestions.notebookName,
              count: suggestions.totalNotes,
            })}
          </DialogDescription>
        </DialogHeader>

        <div className="space-y-2 py-4">
          {suggestions.suggestedLabels.map((label) => {
            const isSelected = selectedLabels.has(label.name)
            return (
              <div
                key={label.name}
                className={cn(
                  "flex items-start gap-3 p-3 rounded-xl border cursor-pointer transition-all",
                  isSelected
                    ? "bg-brand-accent/5 border-brand-accent/30 hover:bg-brand-accent/10"
                    : "border-border hover:bg-muted/50"
                )}
                onClick={() => toggleLabelSelection(label.name)}
              >
                <div className={cn(
                  "w-5 h-5 rounded-full border-2 flex items-center justify-center mt-0.5 transition-all shrink-0",
                  isSelected
                    ? "bg-brand-accent border-brand-accent"
                    : "border-border"
                )}>
                  {isSelected && <CheckCircle2 className="h-3.5 w-3.5 text-white" />}
                </div>
                <div className="flex-1 min-w-0">
                  <div className="flex items-center gap-2">
                    <Tag className="h-3.5 w-3.5 text-brand-accent/60" />
                    <span className="font-medium text-sm">{label.name}</span>
                    <Sparkles className="h-3 w-3 text-brand-accent/40" />
                  </div>
                  <div className="flex items-center gap-3 mt-1.5">
                    <span className="text-[10px] text-muted-foreground">
                      {t('ai.autoLabels.notesCount', { count: label.count })}
                    </span>
                    <span className="text-[10px] px-2 py-0.5 rounded-full bg-brand-accent/10 text-brand-accent font-bold">
                      {Math.round(label.confidence * 100)}%
                    </span>
                  </div>
                </div>
              </div>
            )
          })}
        </div>

        <DialogFooter className="gap-2">
          <button
            onClick={() => onOpenChange(false)}
            disabled={creating}
            className="flex-1 py-3 border border-border rounded-xl text-[10px] font-bold uppercase tracking-widest hover:bg-muted transition-all"
          >
            {t('general.cancel')}
          </button>
          <button
            onClick={handleCreateLabels}
            disabled={selectedLabels.size === 0 || creating}
            className="flex-1 py-3 bg-brand-accent text-white rounded-xl text-[10px] font-bold uppercase tracking-widest hover:opacity-90 transition-all shadow-lg shadow-brand-accent/20 disabled:opacity-50"
          >
            {creating ? (
              <span className="flex items-center justify-center gap-2">
                <Loader2 className="h-4 w-4 animate-spin" />
                {t('ai.autoLabels.creating')}
              </span>
            ) : (
              <span className="flex items-center justify-center gap-2">
                <CheckCircle2 className="h-4 w-4" />
                {t('ai.autoLabels.create')}
              </span>
            )}
          </button>
        </DialogFooter>
      </DialogContent>
    </Dialog>
  )
}