add architecture skeleton
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FROM mcr.microsoft.com/dotnet/runtime:10.0 AS base
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USER $APP_UID
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WORKDIR /app
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FROM mcr.microsoft.com/dotnet/sdk:10.0 AS build
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ARG BUILD_CONFIGURATION=Release
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WORKDIR /src
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COPY ["GymLogAI.Worker/GymLogAI.Worker.csproj", "GymLogAI.Worker/"]
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COPY ["GymLogAI.Application/GymLogAI.Application.csproj", "GymLogAI.Application/"]
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COPY ["GymLogAI.AI/GymLogAI.AI.csproj", "GymLogAI.AI/"]
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COPY ["GymLogAI.Core/GymLogAI.Core.csproj", "GymLogAI.Core/"]
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COPY ["GymLogAI.Persistence/GymLogAI.Persistence.csproj", "GymLogAI.Persistence/"]
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RUN dotnet restore "GymLogAI.Worker/GymLogAI.Worker.csproj"
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COPY . .
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WORKDIR "/src/GymLogAI.Worker"
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RUN dotnet publish "./GymLogAI.Worker.csproj" -c $BUILD_CONFIGURATION -o /app/publish /p:UseAppHost=false
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FROM base AS final
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WORKDIR /app
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COPY --from=build /app/publish .
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ENTRYPOINT ["dotnet", "GymLogAI.Worker.dll"]
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<Project Sdk="Microsoft.NET.Sdk.Worker">
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<PropertyGroup>
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<TargetFramework>net10.0</TargetFramework>
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<Nullable>enable</Nullable>
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<ImplicitUsings>enable</ImplicitUsings>
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<UserSecretsId>dotnet-GymLogAI.Worker-bf7dded7-f871-4b7d-a513-0a677ed83bd3</UserSecretsId>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Microsoft.Extensions.Hosting" Version="10.0.6" />
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</ItemGroup>
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<ItemGroup>
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<ProjectReference Include="..\GymLogAI.Application\GymLogAI.Application.csproj" />
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<ProjectReference Include="..\GymLogAI.AI\GymLogAI.AI.csproj" />
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<ProjectReference Include="..\GymLogAI.Core\GymLogAI.Core.csproj" />
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<ProjectReference Include="..\GymLogAI.Persistence\GymLogAI.Persistence.csproj" />
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</ItemGroup>
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</Project>
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using GymLogAI.Application.Handlers;
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using GymLogAI.Application.Interfaces;
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using Microsoft.Extensions.Options;
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namespace GymLogAI.Worker;
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public sealed class ParsePendingTelegramMessagesJob(
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IServiceProvider serviceProvider,
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IOptions<WorkerOptions> options,
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ILogger<ParsePendingTelegramMessagesJob> logger) : BackgroundService
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{
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protected override async Task ExecuteAsync(CancellationToken stoppingToken)
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{
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while (!stoppingToken.IsCancellationRequested)
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{
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try
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{
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await using var scope = serviceProvider.CreateAsyncScope();
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var repository = scope.ServiceProvider.GetRequiredService<ITelegramMessageRepository>();
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var handler = scope.ServiceProvider.GetRequiredService<ParseTelegramMessageHandler>();
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var pendingMessages = await repository.GetPendingAsync(options.Value.BatchSize, stoppingToken);
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foreach (var pendingMessage in pendingMessages)
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{
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await handler.HandleAsync(pendingMessage.Id, stoppingToken);
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}
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}
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catch (OperationCanceledException) when (stoppingToken.IsCancellationRequested)
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{
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break;
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}
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catch (Exception ex)
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{
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logger.LogError(ex, "Failed to process pending telegram messages.");
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}
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await Task.Delay(TimeSpan.FromSeconds(options.Value.PollingIntervalSeconds), stoppingToken);
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}
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}
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}
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using GymLogAI.AI;
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using GymLogAI.Application.Handlers;
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using GymLogAI.Persistence;
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using GymLogAI.Worker;
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using Microsoft.EntityFrameworkCore;
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var builder = Host.CreateApplicationBuilder(args);
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builder.Services
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.AddOptions<WorkerOptions>()
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.Bind(builder.Configuration.GetSection(WorkerOptions.SectionName));
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builder.Services.AddPersistence(builder.Configuration);
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builder.Services.AddAiServices(builder.Configuration);
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builder.Services.AddScoped<ImportTelegramMessageHandler>();
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builder.Services.AddScoped<ParseTelegramMessageHandler>();
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builder.Services.AddScoped<RecommendWorkoutHandler>();
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builder.Services.AddHostedService<ParsePendingTelegramMessagesJob>();
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var host = builder.Build();
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await using (var scope = host.Services.CreateAsyncScope())
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{
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var dbContext = scope.ServiceProvider.GetRequiredService<AppDbContext>();
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await dbContext.Database.MigrateAsync();
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}
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await host.RunAsync();
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{
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"$schema": "https://json.schemastore.org/launchsettings.json",
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"profiles": {
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"GymLogAI.Worker": {
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"commandName": "Project",
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"dotnetRunMessages": true,
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"environmentVariables": {
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"DOTNET_ENVIRONMENT": "Development"
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}
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}
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}
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}
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@@ -0,0 +1,9 @@
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namespace GymLogAI.Worker;
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public sealed record WorkerOptions
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{
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public const string SectionName = "Worker";
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public int BatchSize { get; init; } = 20;
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public int PollingIntervalSeconds { get; init; } = 10;
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}
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{
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"Logging": {
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"LogLevel": {
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"Default": "Information",
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"Microsoft.Hosting.Lifetime": "Information"
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}
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},
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"ConnectionStrings": {
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"Postgres": "Host=localhost;Port=5432;Database=gymlogai;Username=postgres;Password=postgres"
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},
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"Worker": {
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"BatchSize": 20,
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"PollingIntervalSeconds": 10
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}
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}
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{
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"Logging": {
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"LogLevel": {
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"Default": "Information",
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"Microsoft.Hosting.Lifetime": "Information"
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}
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},
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"ConnectionStrings": {
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"Postgres": "Host=localhost;Port=5432;Database=gymlogai;Username=postgres;Password=postgres"
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},
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"Worker": {
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"BatchSize": 20,
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"PollingIntervalSeconds": 10
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},
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"OpenRouter": {
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"BaseUrl": "https://openrouter.ai/api/v1/",
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"ApiKey": "",
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"ChatModel": "openai/gpt-4.1-mini",
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"EmbeddingModel": "text-embedding-3-small"
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}
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}
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