using System;
using System.Collections;
using System.Collections.Generic;
using System.IO;
using NUnit.Framework;
using UnityEngine;
using UnityEngine.Perception.GroundTruth;
using UnityEngine.TestTools;

#if MOQ_PRESENT
using Moq;
#endif

namespace GroundTruthTests
{
#if HDRP_PRESENT
    [Ignore("Ignoring in HDRP because of a rendering issue in the first frame. See issue AISV-455.")]
#endif
    public class PerceptionCameraIntegrationTests : GroundTruthTestBase
    {
        [UnityTest]
        [UnityPlatform(RuntimePlatform.LinuxPlayer, RuntimePlatform.WindowsPlayer)]
        public IEnumerator EnableBoundingBoxes_GeneratesCorrectDataset()
        {
            //set resolution to ensure we don't have rounding in rendering leading to bounding boxes to change height/width
            Screen.SetResolution(400, 400, false);
            //give the screen a chance to resize
            yield return null;

            var jsonExpected = $@"[
            {{
              ""label_id"": 100,
              ""label_name"": ""label"",
              ""instance_id"": 1,
              ""x"": 0.0,
              ""y"": {Screen.height / 4:F1},
              ""width"": {Screen.width:F1},
              ""height"": {Screen.height / 2:F1}
            }}
          ]";
            var labelingConfiguration = CreateLabelingConfiguration();
            SetupCamera(pc =>
            {
                pc.AddLabeler(new BoundingBox2DLabeler(labelingConfiguration));
            });

            var plane = TestHelper.CreateLabeledPlane();
            AddTestObjectForCleanup(plane);
            //a plane is 10x10 by default, so scale it down to be 10x1 to cover the center half of the image
            plane.transform.localScale = new Vector3(10f, -1f, .1f);
            plane.transform.localPosition = new Vector3(0, 0, 10);

            var plane2 = TestHelper.CreateLabeledPlane(label: "nonmatching");
            AddTestObjectForCleanup(plane2);
            //place a smaller plane in front to test non-matching objects
            plane2.transform.localScale = new Vector3(.1f, -1f, .1f);
            plane2.transform.localPosition = new Vector3(0, 0, 5);
            yield return null;
            DatasetCapture.ResetSimulation();

            var capturesPath = Path.Combine(DatasetCapture.OutputDirectory, "captures_000.json");
            var capturesJson = File.ReadAllText(capturesPath);
            StringAssert.Contains(TestHelper.NormalizeJson(jsonExpected, true), TestHelper.NormalizeJson(capturesJson, true));
        }

        [UnityTest]
        public IEnumerator EnableSemanticSegmentation_GeneratesCorrectDataset([Values(true, false)] bool enabled)
        {
            SemanticSegmentationLabeler semanticSegmentationLabeler = null;
            SetupCamera(pc =>
            {
                semanticSegmentationLabeler = new SemanticSegmentationLabeler(CreateSemanticSegmentationLabelConfig());
                pc.AddLabeler(semanticSegmentationLabeler);
            }, enabled);

            string expectedImageFilename = $"segmentation_{Time.frameCount}.png";

            this.AddTestObjectForCleanup(TestHelper.CreateLabeledPlane());
            yield return null;
            DatasetCapture.ResetSimulation();

            if (enabled)
            {
                var capturesPath = Path.Combine(DatasetCapture.OutputDirectory, "captures_000.json");
                var capturesJson = File.ReadAllText(capturesPath);
                var imagePath = $"{semanticSegmentationLabeler.semanticSegmentationDirectory}/{expectedImageFilename}";
                StringAssert.Contains(imagePath, capturesJson);
            }
            else
            {
                DirectoryAssert.DoesNotExist(DatasetCapture.OutputDirectory);
            }
        }

        [UnityTest]
        public IEnumerator Disabled_GeneratesCorrectDataset()
        {
            SemanticSegmentationLabeler semanticSegmentationLabeler = null;
            SetupCamera(pc =>
            {
                semanticSegmentationLabeler = new SemanticSegmentationLabeler(CreateSemanticSegmentationLabelConfig());
                pc.AddLabeler(semanticSegmentationLabeler);
            });

            string expectedImageFilename = $"segmentation_{Time.frameCount}.png";

            this.AddTestObjectForCleanup(TestHelper.CreateLabeledPlane());
            yield return null;
            DatasetCapture.ResetSimulation();

            var capturesPath = Path.Combine(DatasetCapture.OutputDirectory, "captures_000.json");
            var capturesJson = File.ReadAllText(capturesPath);
            var imagePath = $"{semanticSegmentationLabeler.semanticSegmentationDirectory}/{expectedImageFilename}";
            StringAssert.Contains(imagePath, capturesJson);
        }

        static IdLabelConfig CreateLabelingConfiguration()
        {
            var label = "label";
            var labelConfig = ScriptableObject.CreateInstance<IdLabelConfig>();

            labelConfig.Init(new List<IdLabelEntry>
            {
                new IdLabelEntry
                {
                    id = 100,
                    label = label
                }
            });
            return labelConfig;
        }
        static SemanticSegmentationLabelConfig CreateSemanticSegmentationLabelConfig()
        {
            var label = "label";
            var labelingConfiguration = ScriptableObject.CreateInstance<SemanticSegmentationLabelConfig>();

            labelingConfiguration.Init(new List<SemanticSegmentationLabelEntry>
            {
                new SemanticSegmentationLabelEntry()
                {
                    label = label,
                    color = Color.blue
                }
            });
            return labelingConfiguration;
        }
    }
}