'use server';

import { Mistral } from '@mistralai/mistralai';
import { BottleMetadataSchema, AnalysisResponse, BottleMetadata } from '@/types/whisky';
import { createClient } from '@/lib/supabase/server';
import { createHash } from 'crypto';
import { trackApiUsage } from './track-api-usage';
import { checkCreditBalance, deductCredits } from './credit-service';

export async function analyzeBottlePixtral(base64Image: string, tags?: string[], locale: string = 'de'): Promise<AnalysisResponse & { search_string?: string }> {
    if (!process.env.MISTRAL_API_KEY) {
        return { success: false, error: 'MISTRAL_API_KEY is not configured.' };
    }

    let supabase;
    try {
        supabase = await createClient();
        const { data: { session } } = await supabase.auth.getSession();
        if (!session || !session.user) {
            return { success: false, error: 'Nicht autorisiert oder Session abgelaufen.' };
        }

        const userId = session.user.id;

        const creditCheck = await checkCreditBalance(userId, 'gemini_ai');
        if (!creditCheck.allowed) {
            return {
                success: false,
                error: `Nicht genügend Credits. Du benötigst ${creditCheck.cost} Credits, hast aber nur ${creditCheck.balance}.`
            };
        }

        const base64Data = base64Image.split(',')[1] || base64Image;
        const imageHash = createHash('sha256').update(base64Data).digest('hex');

        const { data: cachedResult } = await supabase
            .from('vision_cache')
            .select('result')
            .eq('hash', imageHash)
            .maybeSingle();

        if (cachedResult) {
            return {
                success: true,
                data: cachedResult.result as any,
            };
        }

        const client = new Mistral({ apiKey: process.env.MISTRAL_API_KEY });
        const dataUrl = `data:image/jpeg;base64,${base64Data}`;

        const prompt = `Du bist ein Whisky-Experte und OCR-Spezialist.
Analysiere dieses Etikett präzise.
Sprache für Beschreibungen: ${locale === 'en' ? 'Englisch' : 'Deutsch'}.
Verfügbare Tags zur Einordnung: ${tags ? tags.join(', ') : 'Keine Tags verfügbar'}.

Antworte AUSSCHLIESSLICH mit gültigem JSON (kein Markdown, kein Text davor/danach):
{
  "distillery": "Name der Brennerei (z.B. Lagavulin)",
  "name": "Exakter Name/Edition (z.B. 16 Year Old)",
  "vintage": "Jahrgang als Zahl oder null",
  "age": "Alter als Zahl oder null (z.B. 16)",
  "abv": "Alkoholgehalt als Zahl ohne % (z.B. 43)",
  "category": "Kategorie (z.B. Single Malt Scotch Whisky)",
  "search_string": "site:whiskybase.com [Brennerei] [Name] [Alter]"
}`;

        const chatResponse = await client.chat.complete({
            model: 'pixtral-large-latest',
            messages: [
                {
                    role: 'user',
                    content: [
                        { type: 'text', text: prompt },
                        { type: 'image_url', imageUrl: dataUrl }
                    ]
                }
            ],
            responseFormat: { type: 'json_object' },
            temperature: 0.1
        });

        const rawContent = chatResponse.choices?.[0].message.content;
        if (!rawContent) throw new Error("Keine Antwort von Pixtral");

        const jsonData = JSON.parse(rawContent as string);

        // Extract search_string before validation
        const searchString = jsonData.search_string;
        delete jsonData.search_string;

        // Ensure abv is a number if it came as a string
        if (typeof jsonData.abv === 'string') {
            jsonData.abv = parseFloat(jsonData.abv.replace('%', '').trim());
        }

        // Ensure age/vintage are numbers
        if (jsonData.age) jsonData.age = parseInt(jsonData.age);
        if (jsonData.vintage) jsonData.vintage = parseInt(jsonData.vintage);

        const validatedData = BottleMetadataSchema.parse(jsonData);

        // Track usage
        await trackApiUsage({
            userId: userId,
            apiType: 'gemini_ai', // Keep as generic 'gemini_ai' for now or update schema later
            endpoint: 'mistral/pixtral-large',
            success: true
        });

        // Deduct credits
        await deductCredits(userId, 'gemini_ai', 'Pixtral AI analysis');

        // Store in Cache
        await supabase
            .from('vision_cache')
            .insert({ hash: imageHash, result: validatedData });

        return {
            success: true,
            data: validatedData,
            search_string: searchString
        };

    } catch (error) {
        console.error('Pixtral Analysis Error:', error);

        // Track failed API call
        try {
            if (supabase) {
                const { data: { session } } = await supabase.auth.getSession();
                if (session?.user) {
                    await trackApiUsage({
                        userId: session.user.id,
                        apiType: 'gemini_ai',
                        endpoint: 'mistral/pixtral-large',
                        success: false,
                        errorMessage: error instanceof Error ? error.message : 'Unknown error'
                    });
                }
            }
        } catch (trackError) {
            console.error('Failed to track error:', trackError);
        }

        return {
            success: false,
            error: error instanceof Error ? error.message : 'Pixtral AI analysis failed.',
        };
    }
}