using System.Net.Http.Headers;
using System.Text;
using System.Text.Json;
using System.Text.Json.Serialization;
using Api.Clients.Ai.Contracts;
using Api.Data.Repositories.Contracts;
using CommonHelpers;
using CvMatcher.Models.Settings;
using Microsoft.Extensions.Options;

namespace Api.Clients.Ai;

public sealed class MatcherAiClient : IMatcherAiClient
{
    private readonly HttpClient _http;
    private readonly IMatcherRepository _repository;
    private readonly AiSettings _settings;
    private static readonly JsonSerializerOptions JsonOptions = new(JsonSerializerDefaults.Web)
    {
        DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull
    };

    public MatcherAiClient(HttpClient http, IMatcherRepository repository, IOptions<AiSettings> options)
    {
        _http = http;
        _repository = repository;
        _settings = options.Value;
    }

    public async Task<string> CreateChatCompletionAsync(string systemPrompt, string userPrompt, decimal temperature, CancellationToken ct)
    {
        var model = GetModel();
        var cacheKey = HashHelper.Compute($"chat:{_settings.Provider}:{model}:{temperature:0.00}:{systemPrompt}:{userPrompt}");
        var cached = await _repository.GetChatCompletionAsync(cacheKey, ct);
        if (cached is not null) return cached;

        var response = IsOllama()
            ? await CreateOllamaChatCompletionAsync(systemPrompt, userPrompt, temperature, ct)
            : await CreateOpenAiChatCompletionAsync(systemPrompt, userPrompt, temperature, ct);

        await _repository.SaveChatCompletionAsync(cacheKey, model, temperature, response, ct);
        return response;
    }

    private bool IsOllama() => string.Equals(_settings.Provider, "Ollama", StringComparison.OrdinalIgnoreCase);
    private string GetModel() => IsOllama() ? _settings.Ollama.ChatModel : _settings.OpenAI.ChatModel;

    private async Task<string> CreateOpenAiChatCompletionAsync(string systemPrompt, string userPrompt, decimal temperature, CancellationToken ct)
    {
        if (string.IsNullOrWhiteSpace(_settings.OpenAI.ApiKey)) throw new InvalidOperationException("OpenAI API key is missing.");
        using var request = new HttpRequestMessage(HttpMethod.Post, "https://api.openai.com/v1/chat/completions");
        request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", _settings.OpenAI.ApiKey);
        request.Content = ToJson(new
        {
            model = _settings.OpenAI.ChatModel,
            temperature,
            response_format = new { type = "json_object" },
            messages = new[]
            {
                new { role = "system", content = systemPrompt },
                new { role = "user", content = userPrompt }
            }
        });
        using var cts = CancellationTokenSource.CreateLinkedTokenSource(ct);
        cts.CancelAfter(TimeSpan.FromSeconds(Math.Max(15, _settings.OpenAI.TimeoutSeconds)));
        using var response = await _http.SendAsync(request, cts.Token);
        var json = await response.Content.ReadAsStringAsync(cts.Token);
        if (!response.IsSuccessStatusCode) throw new InvalidOperationException($"OpenAI chat failed: {(int)response.StatusCode} {json}");
        using var doc = JsonDocument.Parse(json);
        return doc.RootElement.GetProperty("choices")[0].GetProperty("message").GetProperty("content").GetString() ?? "{}";
    }

    private async Task<string> CreateOllamaChatCompletionAsync(string systemPrompt, string userPrompt, decimal temperature, CancellationToken ct)
    {
        var baseUrl = _settings.Ollama.BaseUrl.TrimEnd('/');
        using var cts = CancellationTokenSource.CreateLinkedTokenSource(ct);
        cts.CancelAfter(TimeSpan.FromSeconds(Math.Max(30, _settings.Ollama.TimeoutSeconds)));
        using var response = await _http.PostAsync($"{baseUrl}/api/chat", ToJson(new
        {
            model = _settings.Ollama.ChatModel,
            stream = false,
            format = "json",
            messages = new[]
            {
                new { role = "system", content = systemPrompt },
                new { role = "user", content = userPrompt }
            },
            options = new { temperature = (float)temperature }
        }), cts.Token);
        var json = await response.Content.ReadAsStringAsync(cts.Token);
        if (!response.IsSuccessStatusCode) throw new InvalidOperationException($"Ollama chat failed: {(int)response.StatusCode} {json}");
        using var doc = JsonDocument.Parse(json);
        return doc.RootElement.GetProperty("message").GetProperty("content").GetString() ?? "{}";
    }

    private static StringContent ToJson<T>(T payload) => new(JsonSerializer.Serialize(payload, JsonOptions), Encoding.UTF8, "application/json");
}