using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
using Newtonsoft.Json.Linq;
using SwarmUI.Accounts;
using SwarmUI.Utils;

namespace Mrleo1nid.SwarmAssistent;

/// <summary>Training samples, dataset import/export, Ollama Modelfile builder.</summary>
public partial class SwarmAssistentExtension
{
    static string TrainingRoot()
    {
        string root = Path.Combine(DataRoot(), "Assistent", "training");
        Directory.CreateDirectory(root);
        Directory.CreateDirectory(Path.Combine(root, "datasets"));
        Directory.CreateDirectory(Path.Combine(root, "jobs"));
        Directory.CreateDirectory(Path.Combine(root, "adapters"));
        return root;
    }

    public async Task<JObject> AssistentListTrainSamples(Session session, string status = null, string persona = null, int limit = 200)
    {
        await Task.CompletedTask;
        try
        {
            List<JObject> list = Memory.ListTrainSamples(status, persona, null, limit);
            return new JObject
            {
                ["success"] = true,
                ["samples"] = new JArray(list),
                ["approved"] = Memory.CountTrainSamples("approved"),
                ["draft"] = Memory.CountTrainSamples("draft"),
                ["total"] = Memory.CountTrainSamples(null),
            };
        }
        catch (Exception ex)
        {
            return new JObject { ["error"] = ex.Message };
        }
    }

    public async Task<JObject> AssistentUpsertTrainSample(Session session, JObject raw)
    {
        await Task.CompletedTask;
        if (raw is null)
        {
            return new JObject { ["error"] = "body required" };
        }
        try
        {
            JObject saved = Memory.UpsertTrainSample(raw);
            JObject full = Memory.GetTrainSample(saved["id"]?.ToString()) ?? raw;
            await TryAutoLinkTrainSample(session, full, raw);
            return new JObject { ["success"] = true, ["sample"] = full };
        }
        catch (Exception ex)
        {
            return new JObject { ["error"] = ex.Message };
        }
    }

    public async Task<JObject> AssistentDeleteTrainSample(Session session, string id)
    {
        await Task.CompletedTask;
        if (string.IsNullOrWhiteSpace(id))
        {
            return new JObject { ["error"] = "id required" };
        }
        JObject sample = Memory.GetTrainSample(id.Trim());
        bool ok = Memory.DeleteTrainSample(id.Trim());
        if (ok && sample is not null)
        {
            Memory.UnlinkTrainSampleFromAgent(sample);
        }
        return new JObject { ["success"] = true, ["deleted"] = ok };
    }

    public async Task<JObject> AssistentBuildDatasetFromChats(Session session, bool approved_only = false)
    {
        await Task.CompletedTask;
        try
        {
            List<JObject> chats = Memory.ListChats(withMessages: true, limit: AssistentMemory.MaxChatsStored);
            int added = 0;
            foreach (JObject chat in chats)
            {
                JArray messages = chat["messages"] as JArray ?? [];
                for (int i = 0; i < messages.Count - 1; i++)
                {
                    if (messages[i] is not JObject u || messages[i + 1] is not JObject a)
                    {
                        continue;
                    }
                    if (!string.Equals(u["role"]?.ToString(), "user", StringComparison.OrdinalIgnoreCase))
                    {
                        continue;
                    }
                    if (!string.Equals(a["role"]?.ToString(), "assistant", StringComparison.OrdinalIgnoreCase))
                    {
                        continue;
                    }
                    Memory.UpsertTrainSample(new JObject
                    {
                        ["source"] = "chat",
                        ["chat_id"] = chat["id"],
                        ["persona"] = a["persona"] ?? u["persona"],
                        ["pack"] = a["pack"] ?? u["pack"],
                        ["status"] = approved_only ? "approved" : "draft",
                        ["messages"] = new JArray { u.DeepClone(), a.DeepClone() },
                    });
                    added++;
                }
            }
            return new JObject { ["success"] = true, ["added"] = added };
        }
        catch (Exception ex)
        {
            return new JObject { ["error"] = ex.Message };
        }
    }

    public async Task<JObject> AssistentImportDataset(Session session, JObject raw)
    {
        await Task.CompletedTask;
        string content = raw?["content"]?.ToString();
        string format = raw?["format"]?.ToString() ?? "auto";
        if (string.IsNullOrWhiteSpace(content))
        {
            return new JObject { ["error"] = "content required" };
        }
        try
        {
            int imported = 0;
            string fmt = (format ?? "auto").Trim().ToLowerInvariant();
            List<JObject> records = ParseDatasetContent(content, fmt);
            foreach (JObject rec in records)
            {
                JArray messages = rec["messages"] as JArray;
                if (messages is null || messages.Count == 0)
                {
                    continue;
                }
                Memory.UpsertTrainSample(new JObject
                {
                    ["source"] = "import",
                    ["messages"] = messages,
                    ["status"] = "draft",
                });
                imported++;
            }
            return new JObject { ["success"] = true, ["imported"] = imported };
        }
        catch (Exception ex)
        {
            return new JObject { ["error"] = ex.Message };
        }
    }

    static List<JObject> ParseDatasetContent(string content, string format)
    {
        List<JObject> list = [];
        string trimmed = content.Trim();
        if (trimmed.StartsWith('['))
        {
            JArray arr = JArray.Parse(trimmed);
            foreach (JToken t in arr)
            {
                if (t is JObject o)
                {
                    JArray msgs = ExtractMessagesFromRecord(o);
                    if (msgs != null)
                    {
                        list.Add(new JObject { ["messages"] = msgs });
                    }
                }
            }
            return list;
        }
        if (format == "csv" || LooksLikeCsv(trimmed))
        {
            return ParseCsvDataset(trimmed);
        }
        foreach (string line in trimmed.Split('\n'))
        {
            string ln = line.Trim();
            if (string.IsNullOrWhiteSpace(ln))
            {
                continue;
            }
            try
            {
                JObject o = JObject.Parse(ln);
                JArray msgs = ExtractMessagesFromRecord(o);
                if (msgs != null)
                {
                    list.Add(new JObject { ["messages"] = msgs });
                }
            }
            catch
            {
                // skip bad line
            }
        }
        return list;
    }

    static bool LooksLikeCsv(string s) => s.Contains(',') && s.Contains('\n') && !s.TrimStart().StartsWith('{');

    static List<JObject> ParseCsvDataset(string csv)
    {
        List<JObject> list = [];
        string[] lines = csv.Split('\n').Select(l => l.Trim()).Where(l => l.Length > 0).ToArray();
        if (lines.Length < 2)
        {
            return list;
        }
        string[] headers = lines[0].Split(',').Select(h => h.Trim().Trim('"')).ToArray();
        int promptIdx = Array.FindIndex(headers, h => h.Equals("prompt", StringComparison.OrdinalIgnoreCase) || h.Equals("question", StringComparison.OrdinalIgnoreCase) || h.Equals("instruction", StringComparison.OrdinalIgnoreCase));
        int respIdx = Array.FindIndex(headers, h => h.Equals("response", StringComparison.OrdinalIgnoreCase) || h.Equals("answer", StringComparison.OrdinalIgnoreCase) || h.Equals("output", StringComparison.OrdinalIgnoreCase) || h.Equals("completion", StringComparison.OrdinalIgnoreCase));
        if (promptIdx < 0 || respIdx < 0)
        {
            return list;
        }
        for (int i = 1; i < lines.Length; i++)
        {
            string[] cols = SplitCsvLine(lines[i]);
            if (cols.Length <= Math.Max(promptIdx, respIdx))
            {
                continue;
            }
            list.Add(new JObject
            {
                ["messages"] = new JArray
                {
                    new JObject { ["role"] = "user", ["content"] = cols[promptIdx] },
                    new JObject { ["role"] = "assistant", ["content"] = cols[respIdx] },
                },
            });
        }
        return list;
    }

    static string[] SplitCsvLine(string line)
    {
        List<string> parts = [];
        StringBuilder cur = new();
        bool inQ = false;
        foreach (char c in line)
        {
            if (c == '"')
            {
                inQ = !inQ;
                continue;
            }
            if (c == ',' && !inQ)
            {
                parts.Add(cur.ToString().Trim());
                cur.Clear();
                continue;
            }
            cur.Append(c);
        }
        parts.Add(cur.ToString().Trim());
        return parts.ToArray();
    }

    static JArray ExtractMessagesFromRecord(JObject o)
    {
        if (o["messages"] is JArray msgs)
        {
            return NormalizeMessagesArray(msgs);
        }
        if (o["conversations"] is JArray conv)
        {
            return ConvertHfRowToMessages(new JObject { ["conversations"] = conv }, new JObject { ["kind"] = "conversations" }, null);
        }
        if (o["instruction"] != null && o["output"] != null)
        {
            return ConvertHfRowToMessages(o, new JObject { ["kind"] = "alpaca" }, null);
        }
        if (o["prompt"] != null && (o["response"] != null || o["completion"] != null))
        {
            return ConvertHfRowToMessages(o, new JObject { ["kind"] = "prompt_response", ["response_col"] = o["response"] != null ? "response" : "completion" }, null);
        }
        return null;
    }

    public async Task<JObject> AssistentExportDataset(Session session, string status = "approved", string format = "jsonl")
    {
        await Task.CompletedTask;
        try
        {
            List<JObject> samples = Memory.ListTrainSamples(status, null, null, 5000);
            StringBuilder sb = new();
            int exported = 0;
            foreach (JObject s in samples)
            {
                JArray messages = s["messages"] as JArray ?? [];
                if (messages.Count == 0)
                {
                    continue;
                }
                exported++;
                if (string.Equals(format, "sharegpt", StringComparison.OrdinalIgnoreCase))
                {
                    JArray conv = [];
                    foreach (JToken m in messages)
                    {
                        if (m is not JObject mo)
                        {
                            continue;
                        }
                        string role = mo["role"]?.ToString() ?? "user";
                        conv.Add(new JObject
                        {
                            ["from"] = role == "assistant" ? "gpt" : "human",
                            ["value"] = mo["content"]?.ToString() ?? "",
                        });
                    }
                    sb.AppendLine(new JObject { ["conversations"] = conv }.ToString(Newtonsoft.Json.Formatting.None));
                }
                else
                {
                    sb.AppendLine(new JObject { ["messages"] = messages }.ToString(Newtonsoft.Json.Formatting.None));
                }
            }
            string path = Path.Combine(TrainingRoot(), "datasets", $"export_{DateTimeOffset.UtcNow.ToUnixTimeMilliseconds()}.jsonl");
            await File.WriteAllTextAsync(path, sb.ToString(), Encoding.UTF8);
            return new JObject { ["success"] = true, ["path"] = path, ["count"] = exported, ["content"] = sb.ToString() };
        }
        catch (Exception ex)
        {
            return new JObject { ["error"] = ex.Message };
        }
    }

    public async Task<JObject> AssistentCreateOllamaModel(Session session, JObject raw)
    {
        if (raw is null)
        {
            return new JObject { ["error"] = "body required" };
        }
        string baseUrl = NormalizeBaseUrl(raw["base_url"]?.ToString());
        string baseModel = raw["base_model"]?.ToString()?.Trim();
        string name = raw["name"]?.ToString()?.Trim();
        string system = raw["system"]?.ToString() ?? "";
        int shots = raw["shots"]?.Value<int?>() ?? 8;
        if (string.IsNullOrWhiteSpace(baseModel) || string.IsNullOrWhiteSpace(name))
        {
            return new JObject { ["error"] = "base_model and name required" };
        }
        if (string.IsNullOrWhiteSpace(system))
        {
            string persona = AssistentConfig.SafeId(raw["persona"]?.ToString()) ?? Config.DefaultPersonaId();
            system = Config.LoadCorePrompt(persona) + "\n\n" + Config.RenderIdentityBlock(persona, includeAllShelves: true);
        }
        StringBuilder mf = new();
        mf.AppendLine($"FROM {baseModel}");
        mf.AppendLine($"SYSTEM \"\"\"{system}\"\"\"");
        List<JObject> samples = Memory.ListTrainSamples("approved", null, null, Math.Clamp(shots, 0, 32));
        foreach (JObject s in samples.Take(shots))
        {
            JArray messages = s["messages"] as JArray ?? [];
            foreach (JToken m in messages)
            {
                if (m is not JObject mo)
                {
                    continue;
                }
                string role = mo["role"]?.ToString() ?? "user";
                string content = mo["content"]?.ToString() ?? "";
                if (string.IsNullOrWhiteSpace(content))
                {
                    continue;
                }
                mf.AppendLine($"MESSAGE {role} \"\"\"{content.Replace("\"\"\"", "\"\"\"\"\"\"\"")}\"\"\"");
            }
        }
        if (raw["num_ctx"] != null)
        {
            mf.AppendLine($"PARAMETER num_ctx {raw["num_ctx"]}");
        }
        if (raw["temperature"] != null)
        {
            mf.AppendLine($"PARAMETER temperature {raw["temperature"]}");
        }
        string modelfilePath = Path.Combine(TrainingRoot(), "jobs", $"modelfile_{DateTimeOffset.UtcNow.ToUnixTimeMilliseconds()}.Modelfile");
        Directory.CreateDirectory(Path.GetDirectoryName(modelfilePath)!);
        await File.WriteAllTextAsync(modelfilePath, mf.ToString(), Encoding.UTF8);
        try
        {
            JObject payload = new()
            {
                ["name"] = name,
                ["modelfile"] = mf.ToString(),
                ["stream"] = false,
            };
            using StringContent content = new(payload.ToString(Newtonsoft.Json.Formatting.None), Encoding.UTF8, "application/json");
            using HttpResponseMessage resp = await HttpClient.PostAsync($"{baseUrl}/api/create", content);
            string body = await resp.Content.ReadAsStringAsync();
            if (!resp.IsSuccessStatusCode)
            {
                return new JObject { ["error"] = $"Ollama create HTTP {(int)resp.StatusCode}: {Clip(body, 400)}", ["modelfile_path"] = modelfilePath };
            }
            return new JObject { ["success"] = true, ["name"] = name, ["modelfile_path"] = modelfilePath, ["ollama"] = body };
        }
        catch (Exception ex)
        {
            return new JObject { ["error"] = ex.Message, ["modelfile_path"] = modelfilePath };
        }
    }

    public async Task<JObject> AssistentGetTrainJob(Session session, string id = null)
    {
        await Task.CompletedTask;
        JObject job = string.IsNullOrWhiteSpace(id) ? Memory.GetActiveTrainJob() : Memory.GetTrainJob(id);
        if (job is not null && TrainingJobManager.IsRunning && string.Equals(job["id"]?.ToString(), TrainingJobManager.CurrentJobId, StringComparison.OrdinalIgnoreCase))
        {
            JObject live = TrainingJobManager.GetProgress();
            job["progress_json"] = live.ToString(Newtonsoft.Json.Formatting.None);
            job["status"] = live["status"]?.ToString() ?? job["status"];
        }
        return new JObject
        {
            ["success"] = true,
            ["job"] = job,
            ["training_active"] = TrainingJobManager.IsRunning,
            ["progress"] = TrainingJobManager.IsRunning ? TrainingJobManager.GetProgress() : null,
        };
    }

    public async Task<JObject> AssistentSaveRunnerSettings(Session session, JObject settings)
    {
        await Task.CompletedTask;
        if (settings is null)
        {
            return new JObject { ["error"] = "settings required" };
        }
        Config.SaveTrainingRunner(settings);
        return new JObject { ["success"] = true };
    }

    public async Task<JObject> AssistentGetRunnerSettings(Session session)
    {
        await Task.CompletedTask;
        return new JObject { ["success"] = true, ["settings"] = Config.LoadTrainingRunner() };
    }
}