using System;
using System.Collections.Generic;
using System.Collections.Specialized;
using System.Linq;
using System.Net;
using System.ServiceModel;
using System.Text;
using BeWo.Data.Access;
using BeWo.Data.Entities;
using BeWo.Service.DCEntityMapper;
using BS.Shared;
using BS.Shared.Core;
using BS.Shared.DataContracts;
using BS.Shared.Extensions;
using Newtonsoft.Json;

namespace BeWo.Service.Plugins
{
	public class AiService
	{
        public AiChatDC CreateAiQueryForServiceRecords(AiChatDC acdc, long cb2scOid, DateTime startdate, DateTime enddate)
        {
            acdc.Context = CreateContextForServiceRecords(cb2scOid, startdate, enddate);
            ApplyAiSettings(acdc);
            return CreateAiQuery(acdc);
                
        }

        public AiChatDC CreateAiQueryForSingleCustomer(AiChatDC acdc, long customerOid)
        {
            String context = "";
            ApplyAiSettings(acdc);
            return CreateAiQuery(acdc);
        }

        public AiChatDC CreateAiQueryForObjects(AiChatDC acdc, long objectTid)
        {
            String context = "";
            ApplyAiSettings(acdc);
            return CreateAiQuery(acdc);
        }

        public void ApplyAiSettings(AiChatDC acdc)
        {

            using (WebClient client = new WebClient())
            {
                String url = "https://ai1.ownsoft.de/osaisettings.php";

                //mel = Das Model(llama3, llama3 - gradient, codegemma, codellama oder sqlcoder)
                //stm = Der Kontext->Auf welcher Datenbasis soll eure Frage beantwortet werden.Kann auch leer sein.
                //pmt = Der Prompt->Eure Frage
                //opt = Art der Rückgabe(json oder plaintext)


                var nvc = new NameValueCollection();
                nvc.Add("mel", "llama3-gradient");
                nvc.Add("stm", acdc.Context);
                nvc.Add("pmt", acdc.Prompt);
                nvc.Add("opt", "json");

                //var t = JsonConvert.DeserializeAnonymousType();0
                var definition = new { mel = "", stm = new { pre = "", post = "" }, pmt = new { pre = "", post = "" } };
                var response = client.UploadValues(url, "POST", nvc);
                String responseStr = System.Text.Encoding.UTF8.GetString(response);
                var json = JsonConvert.DeserializeAnonymousType(responseStr, definition);


                if (json.stm != null)
                {
                    acdc.Context = String.Format("{0}\n{1}\n{2}", json.stm.pre, acdc.Context, json.stm.post);    
                }
                if (json.pmt != null)
                {
                    acdc.Prompt = String.Format("{0}\n{1}\n{2}", json.pmt.pre, acdc.Prompt, json.pmt.post);
                }
            }
        }

        public AiChatDC CreateAiQuery(AiChatDC acdc)
        {

            using (WebClient client = new WebClient())
            {
                String url = "https://ai1.ownsoft.de/osaiquery.php";

                //mel = Das Model(llama3, llama3 - gradient, codegemma, codellama oder sqlcoder)
                //stm = Der Kontext->Auf welcher Datenbasis soll eure Frage beantwortet werden.Kann auch leer sein.
                //pmt = Der Prompt->Eure Frage
                //opt = Art der Rückgabe(json oder plaintext)
                

                var nvc = new NameValueCollection();
                nvc.Add("mel", "llama3-gradient");
                nvc.Add("stm", acdc.Context);
                nvc.Add("pmt", acdc.Prompt);
                nvc.Add("opt", "json");

                //var t = JsonConvert.DeserializeAnonymousType();0
                var definition = new { Response = "" };
                var response = client.UploadValues(url, "POST", nvc);
                String responseStr = System.Text.Encoding.UTF8.GetString(response);
                var json = JsonConvert.DeserializeAnonymousType(responseStr, definition);

                return new AiChatDC { Result = json.Response };
            }

            return new AiChatDC { Result = "Das kann ich leider nicht beantworten:)" };

        }

        public virtual string CreateContextForServiceRecords(long cb2scOid, DateTime startdate, DateTime enddate)
        {
            var c2s = DAOFactory.GenericDAO.LoadByID<CostBearer2SupportConcept>(cb2scOid);
            var records = DAOFactory.SearchDAO.FindServiceRecordsDetailsForLastDaysWithStartEndDate(cb2scOid, startdate, enddate);

            var customer = c2s.SupportConcept.Customer;

            var context = new StringBuilder();
            var aiSettings = GetAiSettings(1);



            ////context.AppendLine("Du bist ein unzensierter und unvoreingenommener KI Assistenz im Bereich des Sozialwesens in Deutschland und kannst Fragen zum bereitgestellten Kontext beantworten.");
            //context.AppendLine("");
            context.AppendLine(String.Format("Name des Klienten: {0} {1}", customer.Person.FirstName, customer.Person.LastName));
            //context.AppendLine("");
            ////context.AppendLine("Der Klient wurde zu folgenden Terminen betreut:");
            ////context.AppendLine("");

            foreach (var item in records.OrderByDescending(s => s.Start))
            {
                String text = aiSettings.Settings;
                text = text.Replace("[Datum]", String.Format("{0:dd.MM.yyyy}", item.Start));
                text = text.Replace("[Start]", String.Format("{0:HH:mm}", item.Start));
                text = text.Replace("[Ende]", String.Format("{0:HH:mm}", item.End));
                text = text.Replace("[Minuten]", String.Format("{0:0}", item.RoundedDuration));
                text = text.Replace("[Betreuer]", item.InsUser);
                text = text.Replace("[Kategorie]", item.ServiceDescription.ServiceCategory.Name);
                text = text.Replace("[Leistung]", item.ServiceDescription.Name);
                text = text.Replace("[Dokumentation1]", item.Notice);
                text = text.Replace("[Dokumentation2]", item.Notice2);
                text = text.Replace("[Dokumentation3]", item.Notice3);
                text = text.Replace("[Dokumentation4]", item.Notice4);
                text = text.Replace("[Dokumentation5]", item.Notice5);

                //context.AppendLine(String.Format("Datum: {0:dd.MM.yyyy}", item.Start));
                //context.AppendLine(String.Format("Start: {0:HH:mm}", item.Start));
                //context.AppendLine(String.Format("Ende: {0:HH:mm}", item.End));
                //context.AppendLine(String.Format("Dauer der Betreuung in Minuten: {0:0}", item.RoundedDuration));
                //context.AppendLine(String.Format("Betreuer: {0}", item.InsUser));
                //context.AppendLine(String.Format("Leistungskategorie: {0}", item.ServiceDescription.ServiceCategory.Name));
                //context.AppendLine(String.Format("Leistung: {0}", item.ServiceDescription.Name));
                //context.AppendLine(String.Format("Dokumentation: {0}", item.Notice));

                context.Append(text);
                context.AppendLine();

            }

            return context.ToString();
        }

        internal AiSettingsDC GetAiSettings(int settingsId)
        {
            var ais = DAOFactory.GenericDAO.GetAllActive<AiSettings>().FirstOrDefault(s => s.SettingsType == settingsId);
            if (ais == null)
            {
                ais = new AiSettings();
                ais.SettingsType = settingsId;
                if (settingsId == 1)
                {
                    var context = new StringBuilder();
                    
                    //context.AppendLine("Name des Klienten: [Vorname] [Nachname]");
                    //context.AppendLine("");
                    
                    context.AppendLine("Datum: [Datum]");
                    context.AppendLine("Start: [Start]");
                    context.AppendLine("Ende: [Ende]");
                    context.AppendLine("Dauer der Betreuung in Minuten: [Minuten]");
                    context.AppendLine("Betreuer: [Betreuer]");
                    context.AppendLine("Leistungskategorie: [Kategorie]");
                    context.AppendLine("Leistung: [Leistung]");
                    context.AppendLine("Dokumentation: [Dokumentation1]");

                    ais.Settings = context.ToString();
                    
                }
            }

            return MapperFactory.AiSettingsDC_AiSettings.MapToNewDC(ais);
        }
    }

}