using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Threading.Tasks;

using Amazon.Lambda.Core;
using Amazon.Lambda.S3Events;


using Amazon.Rekognition;
using Amazon.Rekognition.Model;

using Amazon.S3;
using Amazon.S3.Model;


// Assembly attribute to enable the Lambda function's JSON input to be converted into a .NET class.
[assembly: LambdaSerializer(typeof(Amazon.Lambda.Serialization.Json.JsonSerializer))]

namespace BlueprintBaseName._1
{
    public class Function
    {
        /// <summary>
        /// The default minimum confidence used for detecting labels.
        /// </summary>
        public const float DEFAULT_MIN_CONFIDENCE = 70f;

        /// <summary>
        /// The name of the environment variable to set which will override the default minimum confidence level.
        /// </summary>
        public const string MIN_CONFIDENCE_ENVIRONMENT_VARIABLE_NAME = "MinConfidence";

        IAmazonS3 S3Client { get; }

        IAmazonRekognition RekognitionClient { get; }

        float MinConfidence { get; set; } = DEFAULT_MIN_CONFIDENCE;

        HashSet<string> SupportedImageTypes { get; } = new HashSet<string> { ".png", ".jpg", ".jpeg" };

        /// <summary>
        /// Default constructor used by AWS Lambda to construct the function. Credentials and Region information will
        /// be set by the running Lambda environment.
        /// 
        /// This constuctor will also search for the environment variable overriding the default minimum confidence level
        /// for label detection.
        /// </summary>
        public Function()
        {
            this.S3Client = new AmazonS3Client();
            this.RekognitionClient = new AmazonRekognitionClient();

            var environmentMinConfidence = System.Environment.GetEnvironmentVariable(MIN_CONFIDENCE_ENVIRONMENT_VARIABLE_NAME);
            if(!string.IsNullOrWhiteSpace(environmentMinConfidence))
            {
                float value;
                if(float.TryParse(environmentMinConfidence, out value))
                {
                    this.MinConfidence = value;
                    Console.WriteLine($"Setting minimum confidence to {this.MinConfidence}");
                }
                else
                {
                    Console.WriteLine($"Failed to parse value {environmentMinConfidence} for minimum confidence. Reverting back to default of {this.MinConfidence}");
                }
            }
            else
            {
                Console.WriteLine($"Using default minimum confidence of {this.MinConfidence}");
            }
        }

        /// <summary>
        /// Constructor used for testing which will pass in the already configured service clients.
        /// </summary>
        /// <param name="s3Client"></param>
        /// <param name="rekognitionClient"></param>
        /// <param name="minConfidence"></param>
        public Function(IAmazonS3 s3Client, IAmazonRekognition rekognitionClient, float minConfidence)
        {
            this.S3Client = s3Client;
            this.RekognitionClient = rekognitionClient;
            this.MinConfidence = minConfidence;
        }

        /// <summary>
        /// A function for responding to S3 create events. It will determine if the object is an image and use Amazon Rekognition
        /// to detect labels and add the labels as tags on the S3 object.
        /// </summary>
        /// <param name="input"></param>
        /// <param name="context"></param>
        /// <returns></returns>
        public async Task FunctionHandler(S3Event input, ILambdaContext context)
        {
            foreach(var record in input.Records)
            {
                if(!SupportedImageTypes.Contains(Path.GetExtension(record.S3.Object.Key)))
                {
                    Console.WriteLine($"Object {record.S3.Bucket.Name}:{record.S3.Object.Key} is not a supported image type");
                    continue;
                }

                Console.WriteLine($"Looking for labels in image {record.S3.Bucket.Name}:{record.S3.Object.Key}");
                var detectResponses = await this.RekognitionClient.DetectLabelsAsync(new DetectLabelsRequest
                {
                    MinConfidence = MinConfidence,
                    Image = new Image
                    {
                        S3Object = new Amazon.Rekognition.Model.S3Object
                        {
                            Bucket = record.S3.Bucket.Name,
                            Name = record.S3.Object.Key
                        }
                    }
                });

                var tags = new List<Tag>();
                foreach(var label in detectResponses.Labels)
                {
                    if(tags.Count < 10)
                    {
                        Console.WriteLine($"\tFound Label {label.Name} with confidence {label.Confidence}");
                        tags.Add(new Tag { Key = label.Name, Value = label.Confidence.ToString() });
                    }
                    else
                    {
                        Console.WriteLine($"\tSkipped label {label.Name} with confidence {label.Confidence} because the maximum number of tags has been reached");
                    }
                }

                await this.S3Client.PutObjectTaggingAsync(new PutObjectTaggingRequest
                {
                    BucketName = record.S3.Bucket.Name,
                    Key = record.S3.Object.Key,
                    Tagging = new Tagging
                    {
                        TagSet = tags
                    }
                });
            }
            return;
        }
    }
}