// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
// Code generated by Microsoft (R) AutoRest Code Generator.

package com.azure.resourcemanager.machinelearning.generated;

import com.azure.core.credential.AccessToken;
import com.azure.core.http.HttpClient;
import com.azure.core.http.HttpHeaders;
import com.azure.core.http.HttpRequest;
import com.azure.core.http.HttpResponse;
import com.azure.core.management.AzureEnvironment;
import com.azure.core.management.profile.AzureProfile;
import com.azure.resourcemanager.machinelearning.MachineLearningManager;
import com.azure.resourcemanager.machinelearning.models.ModelVersion;
import com.azure.resourcemanager.machinelearning.models.ModelVersionProperties;
import java.nio.ByteBuffer;
import java.nio.charset.StandardCharsets;
import java.time.OffsetDateTime;
import java.util.HashMap;
import java.util.Map;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.Test;
import org.mockito.ArgumentCaptor;
import org.mockito.Mockito;
import reactor.core.publisher.Flux;
import reactor.core.publisher.Mono;

public final class ModelVersionsCreateOrUpdateWithResponseMockTests {
    @Test
    public void testCreateOrUpdateWithResponse() throws Exception {
        HttpClient httpClient = Mockito.mock(HttpClient.class);
        HttpResponse httpResponse = Mockito.mock(HttpResponse.class);
        ArgumentCaptor<HttpRequest> httpRequest = ArgumentCaptor.forClass(HttpRequest.class);

        String responseStr =
            "{\"properties\":{\"flavors\":{},\"jobName\":\"icjuft\",\"modelType\":\"iooanduewfhv\",\"modelUri\":\"jhxzubfjzabbwzgv\",\"isAnonymous\":false,\"isArchived\":true,\"description\":\"dckixspsaigavkmv\",\"properties\":{\"yetjxryo\":\"erejrkpzj\",\"pemnrrabo\":\"taeitwhlbecgihz\"},\"tags\":{\"pskpeswyhhmif\":\"wxywpjhspboxhif\",\"y\":\"uajxwwvcmmpeg\",\"exbzbqufpnezsjza\":\"qvcml\",\"dror\":\"m\"}},\"id\":\"ogzmsimehtcuuwdh\",\"name\":\"qqhyhnimxtns\",\"type\":\"gi\"}";

        Mockito.when(httpResponse.getStatusCode()).thenReturn(200);
        Mockito.when(httpResponse.getHeaders()).thenReturn(new HttpHeaders());
        Mockito
            .when(httpResponse.getBody())
            .thenReturn(Flux.just(ByteBuffer.wrap(responseStr.getBytes(StandardCharsets.UTF_8))));
        Mockito
            .when(httpResponse.getBodyAsByteArray())
            .thenReturn(Mono.just(responseStr.getBytes(StandardCharsets.UTF_8)));
        Mockito
            .when(httpClient.send(httpRequest.capture(), Mockito.any()))
            .thenReturn(
                Mono
                    .defer(
                        () -> {
                            Mockito.when(httpResponse.getRequest()).thenReturn(httpRequest.getValue());
                            return Mono.just(httpResponse);
                        }));

        MachineLearningManager manager =
            MachineLearningManager
                .configure()
                .withHttpClient(httpClient)
                .authenticate(
                    tokenRequestContext -> Mono.just(new AccessToken("this_is_a_token", OffsetDateTime.MAX)),
                    new AzureProfile("", "", AzureEnvironment.AZURE));

        ModelVersion response =
            manager
                .modelVersions()
                .define("nmxynlsuqbwzst")
                .withExistingModel("tfbjampq", "c", "a")
                .withProperties(
                    new ModelVersionProperties()
                        .withDescription("okr")
                        .withProperties(
                            mapOf(
                                "pujzfl", "sgaojbtqpqsdoctp", "wlluunxhfwlfxz", "cdsgxceluji", "eupcknecexkgrv", "wu"))
                        .withTags(
                            mapOf(
                                "wawoxcgzbejqf",
                                "jdmngsytqpdzfyxc",
                                "xdwdrpazqjkrfm",
                                "ifopf",
                                "gtji",
                                "wotfcuu",
                                "cjjkmqenh",
                                "pgayiawohfmhnnzm"))
                        .withIsAnonymous(false)
                        .withIsArchived(true)
                        .withFlavors(mapOf())
                        .withJobName("vpatrgjjk")
                        .withModelType("i")
                        .withModelUri("hoksmmculwk"))
                .create();

        Assertions.assertEquals("dckixspsaigavkmv", response.properties().description());
        Assertions.assertEquals("erejrkpzj", response.properties().properties().get("yetjxryo"));
        Assertions.assertEquals("wxywpjhspboxhif", response.properties().tags().get("pskpeswyhhmif"));
        Assertions.assertEquals(false, response.properties().isAnonymous());
        Assertions.assertEquals(true, response.properties().isArchived());
        Assertions.assertEquals("icjuft", response.properties().jobName());
        Assertions.assertEquals("iooanduewfhv", response.properties().modelType());
        Assertions.assertEquals("jhxzubfjzabbwzgv", response.properties().modelUri());
    }

    @SuppressWarnings("unchecked")
    private static <T> Map<String, T> mapOf(Object... inputs) {
        Map<String, T> map = new HashMap<>();
        for (int i = 0; i < inputs.length; i += 2) {
            String key = (String) inputs[i];
            T value = (T) inputs[i + 1];
            map.put(key, value);
        }
        return map;
    }
}
