package com.homme.demo.service;

import java.time.Duration;
import java.util.List;
import java.util.Map;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.http.MediaType;
import org.springframework.stereotype.Service;
import org.springframework.web.reactive.function.client.WebClient;
import org.springframework.web.reactive.function.client.WebClientResponseException;

import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;

import reactor.util.retry.Retry;



@Service
public class AzureMistralService {
	
	@Value("${azure.mistral.endpoint}")
	private String endPoint;
	
	@Value("${azure.mistral.api-key}")
	private String apiKey;
	
	@Value("${azure.mistral.deployment}")
	private String deployment;
	
	@Value("${azure.mistral.api-version}")
	private String apiVersion;
	
	@Autowired
	private WebClient webClient;
	
	@Autowired
	private ObjectMapper objectMapper;

	public String askMistral(String systemPrompt, String userPrompt) {
		
		int estimatedTokens = Math.min(8000, Math.max(512, userPrompt.length() / 2));
		return askMistral(systemPrompt, userPrompt, estimatedTokens);
	}
	public String askMistral(String systemPrompt, String userPrompt, int maxTokens) {
		
		try {
			String url = endPoint + "/openai/v1/chat/completions";
			
			
			   System.out.println(">>> MODELL = " + deployment + " | URL = " + url); 
			
			Map<String, Object> requstBody = Map.of(
					"model", "gpt-5-mini-datazone",
					"messages", List.of(
							Map.of("role", "system","content",systemPrompt),
							Map.of("role", "user","content", userPrompt)
							),
					"reasoning_effort", "minimal",
					"max_completion_tokens", maxTokens
					);
			 long c0 = System.currentTimeMillis();
			String response =  webClient.post()
					.uri(url)
					.header("api-key", apiKey)
					.contentType(MediaType.APPLICATION_JSON)
					.bodyValue(requstBody)
					.retrieve()
					.bodyToMono(String.class)
					.retryWhen(
					       Retry.backoff(2, Duration.ofSeconds(5))
					       .filter(ex -> ex instanceof WebClientResponseException.TooManyRequests)
					       .onRetryExhaustedThrow((spec, sig) -> sig.failure())
					    )

					.block();
			System.out.println(" askMistral daurte = "+ (System.currentTimeMillis()- c0) + "ms");
			
			if(response == null || response.isBlank()) {
				throw new RuntimeException("Leere Antwort von Azure Mistral");
			}
			
			JsonNode root = objectMapper.readTree(response);
				
			return root
						.path("choices")
						.get(0)
						.get("message")
						.path("content")
						.asText();
			
		}catch(WebClientResponseException e) {
			throw new RuntimeException("Azure Mistral request failed: "+e.getStatusCode()
			+ " Retry-After = "+ e.getHeaders().getFirst("Retry-After")
			+ " Body = "+ e.getResponseBodyAsString());
		}catch (Exception e) {

			throw new RuntimeException("Azure Mistral request failed:  "+ e.getMessage());
		}
	}

	public String askMistral(List<Map<String, Object>> messages, int maxTokens) {

		try {
			String url = endPoint + "/openai/v1/chat/completions";

			System.out.println(">>> MODELL = " + deployment + " | URL = " + url);

			Map<String, Object> requstBody = Map.of(
					"model", "gpt-5-mini-datazone",
					"messages", messages,
					"reasoning_effort", "minimal",
					"max_completion_tokens", maxTokens
					);

			long c0 = System.currentTimeMillis();
			String response = webClient.post()
					.uri(url)
					.header("api-key", apiKey)
					.contentType(MediaType.APPLICATION_JSON)
					.bodyValue(requstBody)
					.retrieve()
					.bodyToMono(String.class)
					.retryWhen(
					       Retry.backoff(2, Duration.ofSeconds(5))
					       .filter(ex -> ex instanceof WebClientResponseException.TooManyRequests)
					       .onRetryExhaustedThrow((spec, sig) -> sig.failure())
					    )
					.block();
			System.out.println(" askMistral daurte = " + (System.currentTimeMillis() - c0) + "ms");

			if (response == null || response.isBlank()) {
				throw new RuntimeException("Leere Antwort von Azure Mistral");
			}

			JsonNode root = objectMapper.readTree(response);
			return root.path("choices").get(0).get("message").path("content").asText();

		} catch (WebClientResponseException e) {
			throw new RuntimeException("Azure Mistral request failed: " + e.getStatusCode()
			+ " Retry-After = " + e.getHeaders().getFirst("Retry-After")
			+ " Body = " + e.getResponseBodyAsString());
		} catch (Exception e) {
			throw new RuntimeException("Azure Mistral request failed:  " + e.getMessage());
		}
	}


}