import { tool } from 'ai'
import { z } from 'zod'
import { toolRegistry } from './registry'
import { prisma } from '@/lib/prisma'
import { withAiProviderFallback } from '@/lib/ai/fallback'
import { getSystemConfig } from '@/lib/config'

toolRegistry.register({
  name: 'task_extract',
  description: 'Extract action items (TODOs) from notes in a notebook. Reads all notes, identifies tasks with assignees and deadlines, and creates a synthesis note.',
  isInternal: true,
  buildTool: (ctx) =>
    tool({
      description: 'Extract action items from notes in a notebook. Creates a new note with all identified tasks.',
      inputSchema: z.object({
        notebookId: z.string().optional().describe('Notebook ID to scan. If omitted, scans all user notes.'),
        noteIds: z.array(z.string()).optional().describe('Specific note IDs to scan instead of a whole notebook.'),
        locale: z.string().optional().describe('Language for the output (fr, en, es, de, etc.)'),
      }),
      execute: async ({ notebookId, noteIds, locale }) => {
        try {
          const where: any = { userId: ctx.userId, trashedAt: null }
          if (noteIds && noteIds.length > 0) {
            where.id = { in: noteIds }
          } else if (notebookId) {
            where.notebookId = notebookId
          }

          const notes = await prisma.note.findMany({
            where,
            select: { id: true, title: true, content: true },
            orderBy: { updatedAt: 'desc' },
            take: 50,
          })

          if (notes.length === 0) {
            return { error: 'No notes found to analyze' }
          }

          const notesContext = notes.map(n =>
            `[ID: ${n.id}] "${n.title}":\n${(n.content || '').slice(0, 800)}`
          ).join('\n\n---\n\n')

          const lang = locale === 'fr' ? 'français' : locale === 'es' ? 'espagnol' : locale === 'de' ? 'allemand' : locale === 'it' ? 'italien' : locale === 'pt' ? 'portugais' : locale === 'nl' ? 'néerlandais' : locale === 'ru' ? 'russe' : locale === 'zh' ? 'chinois' : locale === 'ja' ? 'japonais' : locale === 'ar' ? 'arabe' : locale === 'fa' ? 'persan' : locale === 'hi' ? 'hindi' : 'English'

          const config = await getSystemConfig()

          const prompt = `You are a task extraction specialist. Analyze the following notes and extract ALL action items, tasks, and TODOs.

For each task identified, provide:
- **Task**: Clear, actionable description
- **Source**: The note title where it was found
- **Assignee**: If mentioned (otherwise "Unassigned")
- **Deadline**: If mentioned (otherwise "No deadline")
- **Priority**: High/Medium/Low based on urgency signals in the text
- **Status**: If already completed or in-progress based on context

NOTES TO ANALYZE:
${notesContext}

Respond in ${lang}. Structure the output as a clean Markdown document with:
1. A summary paragraph
2. Tasks grouped by priority (High → Medium → Low)
3. A summary table at the end

Format each task as:
### [Priority] Task Title
- **Description**: ...
- **Source note**: ...
- **Assignee**: ...
- **Deadline**: ...
- **Status**: ...`

          const result = await withAiProviderFallback('tags', config, (provider) =>
            provider.generateText(prompt)
          )

          const summaryTitle = locale === 'fr'
            ? `Action Items — ${new Date().toLocaleDateString('fr-FR')}`
            : `Action Items — ${new Date().toLocaleDateString('en-US')}`

          const createdNote = await prisma.note.create({
            data: {
              title: summaryTitle,
              content: result,
              type: 'markdown',
              isMarkdown: true,
              autoGenerated: true,
              userId: ctx.userId,
              notebookId: notebookId || null,
            },
            select: { id: true, title: true },
          })

          return {
            success: true,
            noteId: createdNote.id,
            title: createdNote.title,
            notesAnalyzed: notes.length,
            tasksNoteUrl: `/notes/${createdNote.id}`,
          }
        } catch (e: any) {
          return { error: `Task extraction failed: ${e.message}` }
        }
      },
    }),
})