feat(Sentiment): update sentiment service

This commit is contained in:
2026-08-09 21:01:42 +02:00
parent aff831cf58
commit 05d55a324c
15 changed files with 1772 additions and 0 deletions
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using FinlyticSentiment.Entities;
using Microsoft.EntityFrameworkCore;
namespace FinlyticSentiment.Database;
/// <summary>
/// EF Core DbContext for managing FinlyticSentiment settings in PostgreSQL.
/// </summary>
public class SentimentDbContext : DbContext
{
public SentimentDbContext(DbContextOptions<SentimentDbContext> options) : base(options)
{
}
public DbSet<SentimentSettingsEntity> Settings => Set<SentimentSettingsEntity>();
protected override void OnModelCreating(ModelBuilder modelBuilder)
{
base.OnModelCreating(modelBuilder);
modelBuilder.Entity<SentimentSettingsEntity>(entity =>
{
entity.ToTable("sentiment_settings");
entity.HasKey(e => e.Id);
entity.Property(e => e.GermanWebhookUrl).HasMaxLength(500);
entity.Property(e => e.EnglishWebhookUrl).HasMaxLength(500);
});
}
}
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FROM mcr.microsoft.com/dotnet/runtime:10.0 AS base
USER app
WORKDIR /app
FROM mcr.microsoft.com/dotnet/sdk:10.0 AS build
ARG BUILD_CONFIGURATION=Release
WORKDIR /src
COPY ["FinlyticSentiment/FinlyticSentiment.csproj", "FinlyticSentiment/"]
COPY ["FinlyticCore/FinlyticCore.csproj", "FinlyticCore/"]
RUN dotnet restore "FinlyticSentiment/FinlyticSentiment.csproj"
COPY . .
WORKDIR "/src/FinlyticSentiment"
RUN dotnet build "FinlyticSentiment.csproj" -c $BUILD_CONFIGURATION -o /app/build
FROM build AS publish
ARG BUILD_CONFIGURATION=Release
RUN dotnet publish "FinlyticSentiment.csproj" -c $BUILD_CONFIGURATION -o /app/publish /p:UseAppHost=false
FROM base AS final
WORKDIR /app
COPY --from=publish /app/publish .
ENTRYPOINT ["dotnet", "FinlyticSentiment.dll"]
@@ -0,0 +1,23 @@
using System;
namespace FinlyticSentiment.Entities;
/// <summary>
/// Entity representing runtime operational settings for FinlyticSentiment stored in PostgreSQL.
/// </summary>
public class SentimentSettingsEntity
{
public Guid Id { get; set; } = Guid.NewGuid();
public double MinConfidenceScore { get; set; } = 0.70;
public int MaxBatchSize { get; set; } = 10;
public int SweepIntervalMinutes { get; set; } = 2;
public string GermanWebhookUrl { get; set; } = "https://n8n.kleidukos.me/webhook/sentiment/de";
public string EnglishWebhookUrl { get; set; } = "https://n8n.kleidukos.me/webhook/sentiment/en";
public DateTime UpdatedAt { get; set; } = DateTime.UtcNow;
}
@@ -0,0 +1,26 @@
<Project Sdk="Microsoft.NET.Sdk.Worker">
<PropertyGroup>
<TargetFramework>net10.0</TargetFramework>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
<DockerDefaultTargetOS>Linux</DockerDefaultTargetOS>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Microsoft.EntityFrameworkCore" Version="10.0.9" />
<PackageReference Include="Microsoft.EntityFrameworkCore.Design" Version="10.0.9">
<PrivateAssets>all</PrivateAssets>
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
</PackageReference>
<PackageReference Include="Microsoft.EntityFrameworkCore.Relational" Version="10.0.9" />
<PackageReference Include="Microsoft.Extensions.Hosting" Version="10.0.1" />
<PackageReference Include="Microsoft.Extensions.Http" Version="10.0.1" />
<PackageReference Include="Npgsql.EntityFrameworkCore.PostgreSQL" Version="10.0.2" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\FinlyticCore\FinlyticCore.csproj" />
</ItemGroup>
</Project>
@@ -0,0 +1,63 @@
// <auto-generated />
using System;
using FinlyticSentiment.Database;
using Microsoft.EntityFrameworkCore;
using Microsoft.EntityFrameworkCore.Infrastructure;
using Microsoft.EntityFrameworkCore.Migrations;
using Microsoft.EntityFrameworkCore.Storage.ValueConversion;
using Npgsql.EntityFrameworkCore.PostgreSQL.Metadata;
#nullable disable
namespace FinlyticSentiment.Migrations
{
[DbContext(typeof(SentimentDbContext))]
[Migration("20260801090401_InitialSentimentSettings")]
partial class InitialSentimentSettings
{
/// <inheritdoc />
protected override void BuildTargetModel(ModelBuilder modelBuilder)
{
#pragma warning disable 612, 618
modelBuilder
.HasAnnotation("ProductVersion", "10.0.9")
.HasAnnotation("Relational:MaxIdentifierLength", 63);
NpgsqlModelBuilderExtensions.UseIdentityByDefaultColumns(modelBuilder);
modelBuilder.Entity("FinlyticSentiment.Entities.SentimentSettingsEntity", b =>
{
b.Property<Guid>("Id")
.ValueGeneratedOnAdd()
.HasColumnType("uuid");
b.Property<string>("EnglishWebhookUrl")
.IsRequired()
.HasMaxLength(500)
.HasColumnType("character varying(500)");
b.Property<string>("GermanWebhookUrl")
.IsRequired()
.HasMaxLength(500)
.HasColumnType("character varying(500)");
b.Property<int>("MaxBatchSize")
.HasColumnType("integer");
b.Property<double>("MinConfidenceScore")
.HasColumnType("double precision");
b.Property<int>("SweepIntervalMinutes")
.HasColumnType("integer");
b.Property<DateTime>("UpdatedAt")
.HasColumnType("timestamp with time zone");
b.HasKey("Id");
b.ToTable("sentiment_settings", (string)null);
});
#pragma warning restore 612, 618
}
}
}
@@ -0,0 +1,39 @@
using System;
using Microsoft.EntityFrameworkCore.Migrations;
#nullable disable
namespace FinlyticSentiment.Migrations
{
/// <inheritdoc />
public partial class InitialSentimentSettings : Migration
{
/// <inheritdoc />
protected override void Up(MigrationBuilder migrationBuilder)
{
migrationBuilder.CreateTable(
name: "sentiment_settings",
columns: table => new
{
Id = table.Column<Guid>(type: "uuid", nullable: false),
MinConfidenceScore = table.Column<double>(type: "double precision", nullable: false),
MaxBatchSize = table.Column<int>(type: "integer", nullable: false),
SweepIntervalMinutes = table.Column<int>(type: "integer", nullable: false),
GermanWebhookUrl = table.Column<string>(type: "character varying(500)", maxLength: 500, nullable: false),
EnglishWebhookUrl = table.Column<string>(type: "character varying(500)", maxLength: 500, nullable: false),
UpdatedAt = table.Column<DateTime>(type: "timestamp with time zone", nullable: false)
},
constraints: table =>
{
table.PrimaryKey("PK_sentiment_settings", x => x.Id);
});
}
/// <inheritdoc />
protected override void Down(MigrationBuilder migrationBuilder)
{
migrationBuilder.DropTable(
name: "sentiment_settings");
}
}
}
@@ -0,0 +1,60 @@
// <auto-generated />
using System;
using FinlyticSentiment.Database;
using Microsoft.EntityFrameworkCore;
using Microsoft.EntityFrameworkCore.Infrastructure;
using Microsoft.EntityFrameworkCore.Storage.ValueConversion;
using Npgsql.EntityFrameworkCore.PostgreSQL.Metadata;
#nullable disable
namespace FinlyticSentiment.Migrations
{
[DbContext(typeof(SentimentDbContext))]
partial class SentimentDbContextModelSnapshot : ModelSnapshot
{
protected override void BuildModel(ModelBuilder modelBuilder)
{
#pragma warning disable 612, 618
modelBuilder
.HasAnnotation("ProductVersion", "10.0.9")
.HasAnnotation("Relational:MaxIdentifierLength", 63);
NpgsqlModelBuilderExtensions.UseIdentityByDefaultColumns(modelBuilder);
modelBuilder.Entity("FinlyticSentiment.Entities.SentimentSettingsEntity", b =>
{
b.Property<Guid>("Id")
.ValueGeneratedOnAdd()
.HasColumnType("uuid");
b.Property<string>("EnglishWebhookUrl")
.IsRequired()
.HasMaxLength(500)
.HasColumnType("character varying(500)");
b.Property<string>("GermanWebhookUrl")
.IsRequired()
.HasMaxLength(500)
.HasColumnType("character varying(500)");
b.Property<int>("MaxBatchSize")
.HasColumnType("integer");
b.Property<double>("MinConfidenceScore")
.HasColumnType("double precision");
b.Property<int>("SweepIntervalMinutes")
.HasColumnType("integer");
b.Property<DateTime>("UpdatedAt")
.HasColumnType("timestamp with time zone");
b.HasKey("Id");
b.ToTable("sentiment_settings", (string)null);
});
#pragma warning restore 612, 618
}
}
}
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using FinlyticSentiment.Database;
using FinlyticSentiment.Services;
using FinlyticSentiment.Util;
using Microsoft.EntityFrameworkCore;
var builder = Host.CreateApplicationBuilder(args);
// Register PostgreSQL DbContext for settings persistence
builder.Services.AddDbContext<SentimentDbContext>(options =>
options.UseNpgsql(builder.Configuration.GetConnectionString("DefaultConnection")));
// Register HttpClient
builder.Services.AddHttpClient();
// Register Service interfaces and co-located implementations
builder.Services.AddScoped<ISettingsDbService, SettingsDbService>();
builder.Services.AddSingleton<IFinBertAnalyzerService, FinBertAnalyzerService>();
builder.Services.AddSingleton<ISentimentStorageService, SentimentStorageService>();
// Register MQTT Client (as singleton hosted service)
builder.Services.AddSingleton<SentimentMqttClient>();
builder.Services.AddHostedService(sp => sp.GetRequiredService<SentimentMqttClient>());
// Register Sentiment Background Worker
builder.Services.AddHostedService<SentimentBackgroundService>();
var host = builder.Build();
// Auto-migrate database on startup
using (var scope = host.Services.CreateScope())
{
try
{
var db = scope.ServiceProvider.GetRequiredService<SentimentDbContext>();
await db.Database.MigrateAsync();
}
catch (Exception ex)
{
var logger = scope.ServiceProvider.GetRequiredService<ILogger<Program>>();
logger.LogError(ex, "An error occurred during database migration for FinlyticSentiment on startup.");
}
}
await host.RunAsync();
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# Finlytic Sentiment Service
Finlytic Sentiment is a C# microservice dedicated to real-time AI sentiment analysis of financial news. It consumes pending news articles, runs FinBERT neural model evaluations, and aggregates sentiment scores at the asset (ISIN) and sector level.
---
## Core Features & Architecture
1. **FinBERT AI Integration**:
- Evaluates positive, negative, and neutral sentiment probabilities (`positiveProbability`, `negativeProbability`, `neutralProbability`, `compoundScore`).
2. **ISIN & Sector Sentiment Aggregation**:
- Aggregates sentiment scores per financial asset (`IsinSentimentSummaryDto`) and sector (`SectorSentimentSummaryDto`).
3. **Background Worker Engine**:
- Runs a 5-minute background loop (`SentimentBackgroundService`) polling pending articles, processing FinBERT evaluations, and publishing results over MQTT.
4. **MQTT Event Channels**:
- Publishes updates to `finlytic/sentiment/result` and responds to RPC requests on `services/request/sentiment_GetArticle/#` and `services/request/sentiment_GetIsin/#`.
---
## Feature Status
### Implemented Features
- [x] FinBERT AI Sentiment Evaluation Service (`IFinBertAnalyzerService`).
- [x] Sentiment Storage & In-Memory Aggregation (`ISentimentStorageService`).
- [x] 5-minute Background Worker loop (`SentimentBackgroundService`).
- [x] Zero-Allocation MQTT serialization via `FinlyticJsonSerializerContext`.
- [x] Pure Worker Service architecture (`Host.CreateApplicationBuilder`, no Kestrel HTTP server).
### Planned Features
- [ ] Historical sentiment trend charting (multi-month sentiment drift per asset).
- [ ] Financial entity sentiment impact correlation model.
@@ -0,0 +1,204 @@
using System.Net.Http.Json;
using System.Text.Json;
using FinlyticCore.Dtos.News;
using FinlyticCore.Dtos.Sentiment;
using Microsoft.Extensions.Configuration;
using Microsoft.Extensions.Logging;
namespace FinlyticSentiment.Services;
/// <summary>
/// Defines the sentiment analysis contract for evaluating news articles via FinBERT webhooks.
/// </summary>
public interface IFinBertAnalyzerService
{
/// <summary>
/// Analyzes a news article using language-targeted FinBERT webhooks and returns structured metrics.
/// </summary>
/// <param name="article">The news article DTO to evaluate.</param>
/// <returns>A task returning the FinBERT sentiment analysis result.</returns>
Task<FinBertResultDto?> AnalyzeArticleAsync(NewsArticleDto article);
}
/// <summary>
/// Implementation of the sentiment analysis contract for evaluating news articles via FinBERT webhooks.
/// </summary>
public class FinBertAnalyzerService : IFinBertAnalyzerService
{
private readonly HttpClient _httpClient;
private readonly IServiceScopeFactory _scopeFactory;
private readonly ILogger<FinBertAnalyzerService> _logger;
/// <summary>
/// Initializes a new instance of the <see cref="FinBertAnalyzerService"/> class.
/// </summary>
/// <param name="httpClient">The HTTP client instance.</param>
/// <param name="scopeFactory">The service scope factory for DB access.</param>
/// <param name="logger">The logging channel.</param>
public FinBertAnalyzerService(
HttpClient httpClient,
IServiceScopeFactory scopeFactory,
ILogger<FinBertAnalyzerService> logger)
{
_httpClient = httpClient;
_scopeFactory = scopeFactory;
_logger = logger;
}
/// <summary>
/// Analyzes a news article using language-targeted FinBERT webhooks and returns structured metrics.
/// </summary>
public async Task<FinBertResultDto?> AnalyzeArticleAsync(NewsArticleDto article)
{
ArgumentNullException.ThrowIfNull(article);
string targetUrl;
double minConfidence;
using (var scope = _scopeFactory.CreateScope())
{
var settingsDb = scope.ServiceProvider.GetRequiredService<ISettingsDbService>();
var settings = await settingsDb.GetSettingsAsync();
targetUrl = string.Equals(article.Language, "en", StringComparison.OrdinalIgnoreCase)
? settings.EnglishWebhookUrl
: settings.GermanWebhookUrl;
minConfidence = settings.MinConfidenceScore;
}
_logger.LogInformation("[{Channel}] Analyzing article (ID: {Id}, Lang: {Lang}) via webhook: {Url} (MinConf: {Conf})", "SentimentChannel", article.Id, article.Language ?? "de", targetUrl, minConfidence);
var requestBody = new
{
article_id = article.Id.ToString(),
title = article.Title,
summary = article.Summary ?? string.Empty,
content = article.ContentRaw ?? string.Empty,
source = article.Author ?? "FinlyticNews",
source_url = article.SourceUrl,
published_at = article.PublishedAt.ToString("o")
};
try
{
using var response = await _httpClient.PostAsJsonAsync(targetUrl, requestBody);
if (response.IsSuccessStatusCode)
{
var content = await response.Content.ReadAsStringAsync();
if (!string.IsNullOrWhiteSpace(content))
{
using var doc = JsonDocument.Parse(content);
var root = doc.RootElement;
// Handle array response if n8n returns an array of items (e.g. [{ "json": { ... } }])
if (root.ValueKind == JsonValueKind.Array && root.GetArrayLength() > 0)
{
root = root[0];
}
// Unwrap n8n wrapper objects: "json", "output", "data", "result", "body"
if (root.ValueKind == JsonValueKind.Object)
{
if (root.TryGetProperty("json", out var jsonChild) && jsonChild.ValueKind == JsonValueKind.Object)
root = jsonChild;
else if (root.TryGetProperty("output", out var outChild) && outChild.ValueKind == JsonValueKind.Object)
root = outChild;
else if (root.TryGetProperty("data", out var dataChild) && dataChild.ValueKind == JsonValueKind.Object)
root = dataChild;
else if (root.TryGetProperty("body", out var bodyChild) && bodyChild.ValueKind == JsonValueKind.Object)
root = bodyChild;
}
if (root.ValueKind == JsonValueKind.Object)
{
string rawLabel = GetStringProp(root, "label")
?? GetStringProp(root, "sentiment_label")
?? GetStringProp(root, "sentiment")
?? "NEUTRAL";
double compoundScore = GetDoubleProp(root, "compound_score")
?? GetDoubleProp(root, "compoundScore")
?? GetDoubleProp(root, "score")
?? 0.0;
double confidence = GetDoubleProp(root, "confidence")
?? GetDoubleProp(root, "confidence_score")
?? 0.5;
string snippet = GetStringProp(root, "summary_snippet")
?? GetStringProp(root, "summary")
?? GetStringProp(root, "text")
?? article.Summary
?? article.Title;
double pos = 0.0, neg = 0.0, neu = 1.0;
if (root.TryGetProperty("probabilities", out var probsElem) && probsElem.ValueKind == JsonValueKind.Object)
{
pos = GetDoubleProp(probsElem, "positive") ?? pos;
neg = GetDoubleProp(probsElem, "negative") ?? neg;
neu = GetDoubleProp(probsElem, "neutral") ?? neu;
}
// Normalize German vs English labels
string label = rawLabel.Trim().ToUpperInvariant() switch
{
"POSITIV" or "POSITIVE" => "POSITIVE",
"NEGATIV" or "NEGATIVE" => "NEGATIVE",
_ => "NEUTRAL"
};
// If compoundScore is 0 but probabilities or label indicate sentiment, compute compoundScore
if (Math.Abs(compoundScore) < 0.001)
{
if (pos > 0 || neg > 0)
{
compoundScore = pos - neg;
}
else if (label == "POSITIVE")
{
compoundScore = 0.8;
}
else if (label == "NEGATIVE")
{
compoundScore = -0.8;
}
}
return new FinBertResultDto
{
Label = label,
CompoundScore = Math.Round(compoundScore, 4),
Confidence = Math.Round(confidence, 4),
Probabilities = new FinBertProbabilities
{
Positive = Math.Round(pos, 4),
Negative = Math.Round(neg, 4),
Neutral = Math.Round(neu, 4)
},
SummarySnippet = snippet
};
}
}
}
_logger.LogWarning("[{Channel}] n8n Webhook returned non-success status: {StatusCode}. Falling back to rule analyzer.", "SentimentChannel", response.StatusCode);
}
catch (Exception ex)
{
_logger.LogError(ex, "[{Channel}] Failed to call n8n sentiment webhook. Executing fallback sentiment analyzer.", "SentimentChannel");
}
return null;
}
private static string? GetStringProp(JsonElement elem, string propName)
{
return elem.TryGetProperty(propName, out var prop) && prop.ValueKind == JsonValueKind.String ? prop.GetString() : null;
}
private static double? GetDoubleProp(JsonElement elem, string propName)
{
if (elem.TryGetProperty(propName, out var prop))
{
if (prop.ValueKind == JsonValueKind.Number && prop.TryGetDouble(out var d)) return d;
if (prop.ValueKind == JsonValueKind.String && double.TryParse(prop.GetString(), out var parsed)) return parsed;
}
return null;
}
}
@@ -0,0 +1,216 @@
using System.Collections.Concurrent;
using FinlyticCore.Dtos.News;
using FinlyticSentiment.Util;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.Logging;
namespace FinlyticSentiment.Services;
/// <summary>
/// Background hosted worker executing periodic sentiment analysis sweeps on pending news articles
/// and processing real-time article broadcasts.
/// </summary>
public class SentimentBackgroundService : BackgroundService
{
private readonly SentimentMqttClient _mqttClient;
private readonly IFinBertAnalyzerService _analyzer;
private readonly ISentimentStorageService _storage;
private readonly IServiceScopeFactory _scopeFactory;
private readonly ILogger<SentimentBackgroundService> _logger;
// In-Memory Mutex / Cache zur Vermeidung doppelter Verarbeitung (Race Conditions zwischen Broadcast & Sweep)
private static readonly ConcurrentDictionary<Guid, byte> ProcessingArticles = new();
/// <summary>
/// Initializes a new instance of the <see cref="SentimentBackgroundService"/> class.
/// </summary>
public SentimentBackgroundService(
SentimentMqttClient mqttClient,
IFinBertAnalyzerService analyzer,
ISentimentStorageService storage,
IServiceScopeFactory scopeFactory,
ILogger<SentimentBackgroundService> logger)
{
_mqttClient = mqttClient;
_analyzer = analyzer;
_storage = storage;
_scopeFactory = scopeFactory;
_logger = logger;
}
/// <inheritdoc />
protected override async Task ExecuteAsync(CancellationToken stoppingToken)
{
_logger.LogInformation("[{Channel}] FinlyticSentiment Background Service started.", "SentimentChannel");
// Realtime Broadcast Event registrieren (Echtzeit-Artikel)
_mqttClient.OnArticleReceived += async (article) =>
{
await ProcessSingleArticleAsync(article, stoppingToken);
};
// Kurze Initialisierungs-Verzögerung für die MQTT-Verbindung
await Task.Delay(3000, stoppingToken);
while (!stoppingToken.IsCancellationRequested)
{
int maxBatchSize;
int sweepIntervalMinutes;
using (var scope = _scopeFactory.CreateScope())
{
var settingsDb = scope.ServiceProvider.GetRequiredService<ISettingsDbService>();
var settings = await settingsDb.GetSettingsAsync();
maxBatchSize = settings.MaxBatchSize;
sweepIntervalMinutes = settings.SweepIntervalMinutes;
}
var interval = TimeSpan.FromMinutes(Math.Max(1, sweepIntervalMinutes));
try
{
await PerformSentimentSweepAsync(maxBatchSize, stoppingToken);
}
catch (OperationCanceledException) when (stoppingToken.IsCancellationRequested)
{
// Normales Beenden beim Stoppen des Hosts
break;
}
catch (Exception ex)
{
_logger.LogError(ex, "[{Channel}] Unhandled exception encountered during sentiment sweep cycle.",
"SentimentChannel");
}
_logger.LogInformation("[{Channel}] Waiting {Minutes} minute(s) until next sentiment sweep...",
"SentimentChannel", interval.TotalMinutes);
// Verwendet PeriodicTimer oder CancellationToken-resistenten Delay
using var timer = new PeriodicTimer(interval);
try
{
await timer.WaitForNextTickAsync(stoppingToken);
}
catch (OperationCanceledException)
{
break;
}
}
_logger.LogInformation("[{Channel}] FinlyticSentiment Background Service is shutting down gracefully.",
"SentimentChannel");
}
/// <summary>
/// Performs a single batch sweep of pending news articles.
/// </summary>
private async Task PerformSentimentSweepAsync(int maxBatchSize, CancellationToken cancellationToken)
{
_logger.LogInformation("[{Channel}] Starting sentiment sweep for pending news articles (Limit: {Limit})...",
"SentimentChannel", maxBatchSize);
List<NewsArticleDto> pendingArticles = await _mqttClient.GetPendingArticlesAsync(limit: maxBatchSize);
if (pendingArticles.Count == 0)
{
_logger.LogInformation("[{Channel}] No pending news articles found in FinlyticNews.", "SentimentChannel");
return;
}
_logger.LogInformation("[{Channel}] Retrieved {Count} pending article(s) for FinBERT sentiment evaluation.",
"SentimentChannel", pendingArticles.Count);
foreach (var article in pendingArticles)
{
if (cancellationToken.IsCancellationRequested) break;
await ProcessSingleArticleAsync(article, cancellationToken);
}
}
/// <summary>
/// Processes FinBERT sentiment analysis for a single article, updates two-stage JSON summaries, and notifies FinlyticNews of status update.
/// </summary>
private async Task ProcessSingleArticleAsync(NewsArticleDto article, CancellationToken cancellationToken = default)
{
if (article == null || article.Id == Guid.Empty) return;
// Deduplizierung: Verhindert, dass derselbe Artikel zeitgleich im Sweep & im Broadcast verarbeitet wird
if (!ProcessingArticles.TryAdd(article.Id, 0))
{
_logger.LogDebug("[{Channel}] Article {Id} is already being processed. Skipping duplicate run.",
"SentimentChannel", article.Id);
return;
}
try
{
_logger.LogInformation("[{Channel}] Evaluating FinBERT sentiment for article: '{Title}' (ID: {Id})",
"SentimentChannel", article.Title, article.Id);
var finbert = await _analyzer.AnalyzeArticleAsync(article);
if (finbert == null)
{
_logger.LogWarning(
"[{Channel}] FinBERT analysis returned NULL for article {Id} ('{Title}'). Aborting processing for this run.",
"SentimentChannel", article.Id, article.Title);
return;
}
if (cancellationToken.IsCancellationRequested) return;
// 1. Artikel-Level Sentiment speichern
await _storage.SaveArticleSentimentAsync(article, finbert);
// 2. ISIN- & Sektor-Summaries aktualisieren
if (article.MatchedAssets != null && article.MatchedAssets.Count > 0)
{
foreach (var asset in article.MatchedAssets)
{
if (cancellationToken.IsCancellationRequested) break;
if (string.IsNullOrWhiteSpace(asset.Isin)) continue;
await _storage.UpdateIsinSummaryAsync(
asset.Isin,
asset.Name,
"General",
article,
finbert);
await _storage.UpdateSectorSummaryAsync(
"General",
asset.Isin,
article.Id.ToString(),
finbert);
}
}
if (cancellationToken.IsCancellationRequested) return;
// 3. FinlyticNews über Erfolg informieren
bool updated = await _mqttClient.UpdateArticleStatusAsync(article.Id, "Analyzed");
if (updated)
{
_logger.LogInformation(
"[{Channel}] Article sentiment processed and status set to 'Analyzed' in FinlyticNews: {Title} (ID: {Id}) -> {Label}",
"SentimentChannel", article.Title, article.Id, finbert.Label);
}
else
{
_logger.LogWarning(
"[{Channel}] Failed to confirm status update to 'Analyzed' in FinlyticNews for article: {Id}",
"SentimentChannel", article.Id);
}
}
catch (Exception ex)
{
_logger.LogError(ex, "[{Channel}] Error processing sentiment for article: {Id} ({Title})",
"SentimentChannel", article.Id, article.Title);
}
finally
{
// Lock nach der Verarbeitung immer freigeben
ProcessingArticles.TryRemove(article.Id, out _);
}
}
}
@@ -0,0 +1,395 @@
using System.Collections.Concurrent;
using System.Text.Encodings.Web;
using System.Text.Json;
using FinlyticCore.Dtos.News;
using FinlyticCore.Dtos.Sentiment;
using Microsoft.Extensions.Configuration;
using Microsoft.Extensions.Logging;
namespace FinlyticSentiment.Services;
/// <summary>
/// Defines the persistence contract for maintaining two-stage ISIN and Sector JSON sentiment summaries in the file system.
/// </summary>
public interface ISentimentStorageService
{
/// <summary>
/// Appends a new FinBERT analysis event to the ISIN summary file and recalculates the current aggregate metrics.
/// </summary>
/// <param name="isin">The asset ISIN code.</param>
/// <param name="companyName">The name of the asset company.</param>
/// <param name="sector">The sector associated with the asset.</param>
/// <param name="article">The analyzed article DTO.</param>
/// <param name="finbert">The FinBERT sentiment result.</param>
/// <returns>A task representing the file update operation.</returns>
Task UpdateIsinSummaryAsync(string isin, string companyName, string sector, NewsArticleDto article, FinBertResultDto finbert);
/// <summary>
/// Appends a new FinBERT analysis event to the Sector summary file and recalculates the sector aggregate metrics.
/// </summary>
/// <param name="sector">The target sector name.</param>
/// <param name="isin">The asset ISIN code triggering the sector update.</param>
/// <param name="articleId">The unique news article identifier.</param>
/// <param name="finbert">The FinBERT sentiment result.</param>
/// <returns>A task representing the file update operation.</returns>
Task UpdateSectorSummaryAsync(string sector, string isin, string articleId, FinBertResultDto finbert);
/// <summary>
/// Persists an article's sentiment analysis directly in data/summaries/articles/{articleId}.json.
/// </summary>
Task SaveArticleSentimentAsync(NewsArticleDto article, FinBertResultDto finbert);
/// <summary>
/// Retrieves the sentiment analysis entry for a specific news article.
/// </summary>
Task<IsinAnalysisEntry?> GetArticleSentimentAsync(string articleId);
/// <summary>
/// Retrieves the aggregate sentiment summary for a specific asset ISIN.
/// </summary>
Task<IsinSentimentSummaryDto?> GetIsinSummaryAsync(string isin);
}
public class SentimentStorageService : ISentimentStorageService
{
private static readonly ConcurrentDictionary<string, SemaphoreSlim> FileLocks = new();
private readonly ILogger<SentimentStorageService> _logger;
private readonly string _basePath;
private readonly JsonSerializerOptions _jsonOptions;
public SentimentStorageService(IConfiguration configuration, ILogger<SentimentStorageService> logger)
{
_logger = logger;
_basePath = configuration["Storage:SummariesPath"] ?? "data/summaries";
Directory.CreateDirectory(Path.Combine(_basePath, "isin"));
Directory.CreateDirectory(Path.Combine(_basePath, "sectors"));
Directory.CreateDirectory(Path.Combine(_basePath, "articles"));
_jsonOptions = new JsonSerializerOptions
{
WriteIndented = true,
Encoder = JavaScriptEncoder.UnsafeRelaxedJsonEscaping
};
}
/// <inheritdoc />
public async Task SaveArticleSentimentAsync(NewsArticleDto article, FinBertResultDto finbert)
{
if (article == null || article.Id == Guid.Empty) return;
string cleanId = article.Id.ToString();
string filePath = Path.Combine(_basePath, "articles", $"{cleanId}.json");
var fileLock = FileLocks.GetOrAdd(filePath, _ => new SemaphoreSlim(1, 1));
await fileLock.WaitAsync();
try
{
string nowIso = DateTime.UtcNow.ToString("yyyy-MM-ddTHH:mm:ssZ");
string analysisId = $"sent_{DateTime.UtcNow:yyyyMMdd}_{Random.Shared.Next(100, 999)}";
var entry = new IsinAnalysisEntry
{
AnalysisId = analysisId,
Timestamp = nowIso,
Article = new IsinAnalysisArticleRef
{
ArticleId = cleanId,
Title = article.Title ?? "",
Source = article.Author ?? "FinlyticNews",
PublishedAt = article.PublishedAt.ToString("yyyy-MM-ddTHH:mm:ssZ")
},
FinbertResult = finbert,
SummarySnippet = finbert.SummarySnippet ?? article.Summary ?? article.Title ?? ""
};
string json = JsonSerializer.Serialize(entry, _jsonOptions);
await File.WriteAllTextAsync(filePath, json);
_logger.LogInformation("[{Channel}] Successfully saved article sentiment file: {Path}", "SentimentChannel", filePath);
}
catch (Exception ex)
{
_logger.LogError(ex, "[{Channel}] Failed to write article sentiment file: {Path}", "SentimentChannel", filePath);
}
finally
{
fileLock.Release();
}
}
/// <inheritdoc />
public async Task<IsinAnalysisEntry?> GetArticleSentimentAsync(string articleId)
{
if (string.IsNullOrWhiteSpace(articleId)) return null;
var cleanId = articleId.Trim();
var articleFilePath = Path.Combine(_basePath, "articles", $"{cleanId}.json");
// 1. Primärer Lookup
if (File.Exists(articleFilePath))
{
var fileLock = FileLocks.GetOrAdd(articleFilePath, _ => new SemaphoreSlim(1, 1));
await fileLock.WaitAsync();
try
{
var json = await File.ReadAllTextAsync(articleFilePath);
return JsonSerializer.Deserialize<IsinAnalysisEntry>(json, _jsonOptions);
}
catch (Exception ex)
{
_logger.LogWarning(ex, "[{Channel}] Failed to read article sentiment file: {Path}", "SentimentChannel", articleFilePath);
}
finally
{
fileLock.Release();
}
}
// 2. Fallback in ISIN-Dateien
var dirPath = Path.Combine(_basePath, "isin");
if (!Directory.Exists(dirPath)) return null;
foreach (var file in Directory.GetFiles(dirPath, "*.json"))
{
try
{
var json = await File.ReadAllTextAsync(file);
var doc = JsonSerializer.Deserialize<IsinSentimentSummaryDto>(json, _jsonOptions);
var match = doc?.Analyses?.FirstOrDefault(a => string.Equals(a.Article?.ArticleId?.Trim(), cleanId, StringComparison.OrdinalIgnoreCase));
if (match != null) return match;
}
catch { }
}
return null;
}
/// <inheritdoc />
public async Task<IsinSentimentSummaryDto?> GetIsinSummaryAsync(string isin)
{
if (string.IsNullOrWhiteSpace(isin)) return null;
var cleanIsin = isin.Trim();
var filePath = Path.Combine(_basePath, "isin", $"{cleanIsin}.json");
if (!File.Exists(filePath)) return null;
var fileLock = FileLocks.GetOrAdd(filePath, _ => new SemaphoreSlim(1, 1));
await fileLock.WaitAsync();
try
{
var json = await File.ReadAllTextAsync(filePath);
return JsonSerializer.Deserialize<IsinSentimentSummaryDto>(json, _jsonOptions);
}
catch (Exception ex)
{
_logger.LogError(ex, "[{Channel}] Error reading ISIN summary file: {Path}", "SentimentChannel", filePath);
return null;
}
finally
{
fileLock.Release();
}
}
/// <inheritdoc />
public async Task UpdateIsinSummaryAsync(string isin, string companyName, string sector, NewsArticleDto article, FinBertResultDto finbert)
{
if (string.IsNullOrWhiteSpace(isin) || article == null) return;
string cleanIsin = isin.Trim();
string filePath = Path.Combine(_basePath, "isin", $"{cleanIsin}.json");
var fileLock = FileLocks.GetOrAdd(filePath, _ => new SemaphoreSlim(1, 1));
await fileLock.WaitAsync();
try
{
IsinSentimentSummaryDto isinDoc;
if (File.Exists(filePath))
{
try
{
string json = await File.ReadAllTextAsync(filePath);
isinDoc = JsonSerializer.Deserialize<IsinSentimentSummaryDto>(json, _jsonOptions) ?? new IsinSentimentSummaryDto { Isin = cleanIsin };
}
catch
{
isinDoc = new IsinSentimentSummaryDto { Isin = cleanIsin };
}
}
else
{
isinDoc = new IsinSentimentSummaryDto { Isin = cleanIsin };
}
string nowIso = DateTime.UtcNow.ToString("yyyy-MM-ddTHH:mm:ssZ");
string analysisId = $"sent_{DateTime.UtcNow:yyyyMMdd}_{Random.Shared.Next(100, 999)}";
var newEntry = new IsinAnalysisEntry
{
AnalysisId = analysisId,
Timestamp = nowIso,
Article = new IsinAnalysisArticleRef
{
ArticleId = article.Id.ToString(),
Title = article.Title ?? "",
Source = article.Author ?? "FinlyticNews",
PublishedAt = article.PublishedAt.ToString("yyyy-MM-ddTHH:mm:ssZ")
},
FinbertResult = finbert,
SummarySnippet = finbert.SummarySnippet ?? article.Summary ?? article.Title ?? ""
};
// Duplikat-Bereinigung: Falls Artikel bereits existiert, alten Eintrag entfernen!
var updatedAnalyses = isinDoc.Analyses?
.Where(a => !string.Equals(a.Article?.ArticleId, article.Id.ToString(), StringComparison.OrdinalIgnoreCase))
.ToList() ?? new List<IsinAnalysisEntry>();
// Neuen Eintrag oben einfügen
updatedAnalyses.Insert(0, newEntry);
// Capping: Maximal die letzten 100 Analysen aufheben (verhindert gigantische JSON-Dateien)
if (updatedAnalyses.Count > 100)
{
updatedAnalyses = updatedAnalyses.Take(100).ToList();
}
double avgCompound = updatedAnalyses.Average(a => a.FinbertResult.CompoundScore);
double avgConf = updatedAnalyses.Average(a => a.FinbertResult.Confidence);
string label = CalculateLabel(avgCompound);
string textSummary = label switch
{
"POSITIVE" => $"Die Stimmungsanalyse zeigt einen weiterhin positiven Trend ({avgCompound:F2}). Hauptursache sind positive Berichte und starke Markt-Signale.",
"NEGATIVE" => $"Die Stimmungsanalyse deutet auf einen verhaltenen bis negativen Trend hin ({avgCompound:F2}). Auf kritische Markt-Berichte sollte geachtet werden.",
_ => $"Das Gesamtsentiment ist neutral ({avgCompound:F2}). Ausgewogene Signale aus der aktuellen Berichterstattung."
};
var updatedDoc = isinDoc with
{
Isin = cleanIsin,
CompanyName = !string.IsNullOrWhiteSpace(companyName) ? companyName : isinDoc.CompanyName,
Sector = !string.IsNullOrWhiteSpace(sector) ? sector : isinDoc.Sector,
LastUpdated = nowIso,
CurrentSummary = new IsinCurrentSummary
{
CompoundScore = Math.Round(avgCompound, 2),
SentimentLabel = label,
AvgConfidence = Math.Round(avgConf, 2),
TotalArticlesAnalyzed = updatedAnalyses.Count,
Text = textSummary
},
Analyses = updatedAnalyses
};
await File.WriteAllTextAsync(filePath, JsonSerializer.Serialize(updatedDoc, _jsonOptions));
_logger.LogInformation("[{Channel}] Updated ISIN summary file: {Path} (Total: {Count}, Score: {Score:F2})", "SentimentChannel", filePath, updatedAnalyses.Count, avgCompound);
}
finally
{
fileLock.Release();
}
}
/// <inheritdoc />
public async Task UpdateSectorSummaryAsync(string sector, string isin, string articleId, FinBertResultDto finbert)
{
if (string.IsNullOrWhiteSpace(sector)) return;
string sanitizedSector = string.Concat(sector.Split(Path.GetInvalidFileNameChars())).Trim();
string filePath = Path.Combine(_basePath, "sectors", $"{sanitizedSector}.json");
var fileLock = FileLocks.GetOrAdd(filePath, _ => new SemaphoreSlim(1, 1));
await fileLock.WaitAsync();
try
{
SectorSentimentSummaryDto sectorDoc;
if (File.Exists(filePath))
{
try
{
string json = await File.ReadAllTextAsync(filePath);
sectorDoc = JsonSerializer.Deserialize<SectorSentimentSummaryDto>(json, _jsonOptions) ?? new SectorSentimentSummaryDto { Sector = sector };
}
catch
{
sectorDoc = new SectorSentimentSummaryDto { Sector = sector };
}
}
else
{
sectorDoc = new SectorSentimentSummaryDto { Sector = sector };
}
string nowIso = DateTime.UtcNow.ToString("yyyy-MM-ddTHH:mm:ssZ");
string analysisId = $"sec_sent_{DateTime.UtcNow:yyyyMMdd}_{Random.Shared.Next(100, 999)}";
var newEntry = new SectorAnalysisEntry
{
AnalysisId = analysisId,
Timestamp = nowIso,
RelatedIsin = isin,
ArticleId = articleId,
FinbertResult = finbert
};
// Duplikate bereinigen (selber Artikel für denselben Sektor)
var updatedAnalyses = sectorDoc.Analyses?
.Where(a => !string.Equals(a.ArticleId, articleId, StringComparison.OrdinalIgnoreCase))
.ToList() ?? new List<SectorAnalysisEntry>();
updatedAnalyses.Insert(0, newEntry);
if (updatedAnalyses.Count > 100)
{
updatedAnalyses = updatedAnalyses.Take(100).ToList();
}
var activeIsins = updatedAnalyses.Select(a => a.RelatedIsin).Where(i => !string.IsNullOrWhiteSpace(i)).Distinct().ToList();
double avgCompound = updatedAnalyses.Average(a => a.FinbertResult.CompoundScore);
string label = CalculateLabel(avgCompound);
string overviewText = label switch
{
"POSITIVE" => $"Der Sektor {sector} tendiert insgesamt positiv. Starke Einzelergebnisse stützen den Trend.",
"NEGATIVE" => $"Der Sektor {sector} verzeichnet dämpfende Sentiment-Signale.",
_ => $"Der Sektor {sector} zeigt ein ausgewogenes neutrales Gesamtbild."
};
var updatedDoc = sectorDoc with
{
Sector = sector,
LastUpdated = nowIso,
CurrentSummary = new SectorCurrentSummary
{
CompoundScore = Math.Round(avgCompound, 2),
SentimentLabel = label,
ActiveIsins = activeIsins,
Text = overviewText
},
Analyses = updatedAnalyses
};
await File.WriteAllTextAsync(filePath, JsonSerializer.Serialize(updatedDoc, _jsonOptions));
_logger.LogInformation("[{Channel}] Updated Sector summary file: {Path} (Active ISINs: {Count})", "SentimentChannel", filePath, activeIsins.Count);
}
finally
{
fileLock.Release();
}
}
private static string CalculateLabel(double score) => score switch
{
>= 0.15 => "POSITIVE",
<= -0.15 => "NEGATIVE",
_ => "NEUTRAL"
};
}
@@ -0,0 +1,115 @@
using System;
using System.Collections.Generic;
using System.Threading.Tasks;
using FinlyticSentiment.Database;
using FinlyticSentiment.Entities;
using Microsoft.EntityFrameworkCore;
using Microsoft.Extensions.Logging;
namespace FinlyticSentiment.Services;
/// <summary>
/// Interface for reading and persisting FinlyticSentiment runtime configuration settings in PostgreSQL.
/// </summary>
public interface ISettingsDbService
{
/// <summary>
/// Retrieves current sentiment settings from PostgreSQL database, seeding defaults if empty.
/// </summary>
Task<SentimentSettingsEntity> GetSettingsAsync();
/// <summary>
/// Persists updated settings entity to PostgreSQL.
/// </summary>
Task<SentimentSettingsEntity> SaveSettingsAsync(SentimentSettingsEntity settings);
/// <summary>
/// Updates settings from a key-value dictionary received via Admin Panel MQTT events.
/// </summary>
Task UpdateSettingsFromDictionaryAsync(Dictionary<string, string> dictionary);
}
/// <summary>
/// EF Core PostgreSQL implementation of <see cref="ISettingsDbService"/>.
/// </summary>
public class SettingsDbService : ISettingsDbService
{
private readonly SentimentDbContext _context;
private readonly ILogger<SettingsDbService> _logger;
/// <summary>
/// Initializes a new instance of the <see cref="SettingsDbService"/> class.
/// </summary>
public SettingsDbService(SentimentDbContext context, ILogger<SettingsDbService> logger)
{
_context = context;
_logger = logger;
}
/// <summary>
/// Retrieves current sentiment settings from PostgreSQL database.
/// </summary>
public async Task<SentimentSettingsEntity> GetSettingsAsync()
{
var settings = await _context.Settings.AsNoTracking().FirstOrDefaultAsync();
if (settings == null)
{
settings = new SentimentSettingsEntity { Id = Guid.NewGuid() };
_context.Settings.Add(settings);
await _context.SaveChangesAsync();
_context.ChangeTracker.Clear();
}
return settings;
}
/// <summary>
/// Persists updated settings entity to PostgreSQL.
/// </summary>
public async Task<SentimentSettingsEntity> SaveSettingsAsync(SentimentSettingsEntity settings)
{
var existing = await _context.Settings.FirstOrDefaultAsync();
if (existing == null)
{
if (settings.Id == Guid.Empty) settings.Id = Guid.NewGuid();
_context.Settings.Add(settings);
}
else
{
existing.MinConfidenceScore = settings.MinConfidenceScore;
existing.MaxBatchSize = settings.MaxBatchSize;
existing.SweepIntervalMinutes = settings.SweepIntervalMinutes;
existing.GermanWebhookUrl = settings.GermanWebhookUrl;
existing.EnglishWebhookUrl = settings.EnglishWebhookUrl;
existing.UpdatedAt = settings.UpdatedAt;
_context.Settings.Update(existing);
}
await _context.SaveChangesAsync();
return settings;
}
/// <summary>
/// Updates settings from a key-value dictionary.
/// </summary>
public async Task UpdateSettingsFromDictionaryAsync(Dictionary<string, string> dictionary)
{
var settings = await GetSettingsAsync();
foreach (var (key, value) in dictionary)
{
if (string.Equals(key, "MinConfidenceScore", StringComparison.OrdinalIgnoreCase) && double.TryParse(value, out var mcs))
settings.MinConfidenceScore = mcs;
else if (string.Equals(key, "MaxBatchSize", StringComparison.OrdinalIgnoreCase) && int.TryParse(value, out var mbs))
settings.MaxBatchSize = mbs;
else if (string.Equals(key, "SweepIntervalMinutes", StringComparison.OrdinalIgnoreCase) && int.TryParse(value, out var sim))
settings.SweepIntervalMinutes = sim;
else if (string.Equals(key, "GermanWebhookUrl", StringComparison.OrdinalIgnoreCase) && !string.IsNullOrWhiteSpace(value))
settings.GermanWebhookUrl = value.Trim();
else if (string.Equals(key, "EnglishWebhookUrl", StringComparison.OrdinalIgnoreCase) && !string.IsNullOrWhiteSpace(value))
settings.EnglishWebhookUrl = value.Trim();
}
settings.UpdatedAt = DateTime.UtcNow;
await SaveSettingsAsync(settings);
_logger.LogInformation("[{Channel}] Successfully updated {Count} sentiment settings in PostgreSQL database.", "SentimentChannel", dictionary.Count);
}
}
@@ -0,0 +1,478 @@
using System.Text.Json;
using FinlyticCore.Dtos;
using FinlyticCore.Dtos.News;
using FinlyticCore.Dtos.Sentiment;
using FinlyticCore.Models;
using FinlyticCore.Util;
using FinlyticSentiment.Services;
using Microsoft.Extensions.Configuration;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.Logging;
namespace FinlyticSentiment.Util;
/// <summary>
/// Managed MQTT client for requesting pending news articles and updating sentiment results.
/// </summary>
public class SentimentMqttClient : ManagedMqttClient, IHostedService
{
private readonly ILogger<SentimentMqttClient> _logger;
private readonly IConfiguration _configuration;
private readonly IServiceScopeFactory _scopeFactory;
/// <summary>
/// Initializes a new instance of the <see cref="SentimentMqttClient"/> class.
/// </summary>
public SentimentMqttClient(
ILogger<SentimentMqttClient> logger,
IConfiguration configuration,
IServiceScopeFactory scopeFactory) : base(logger)
{
_logger = logger;
_configuration = configuration;
_scopeFactory = scopeFactory;
}
/// <summary>
/// Starts the MQTT client and connects to the broker.
/// </summary>
public async Task StartAsync(CancellationToken cancellationToken)
{
var config = new MqttConfiguration
{
Host = _configuration["MQTT:Host"] ?? _configuration["MQTT__Host"] ?? "localhost",
Port = Convert.ToInt32(_configuration["MQTT:Port"] ?? _configuration["MQTT__Port"] ?? "1883"),
ClientId =
$"{(_configuration["MQTT:ClientId"] ?? _configuration["MQTT__ClientId"] ?? "FinlyticSentiment")}_{Guid.NewGuid()}"
};
_logger.LogInformation("[{Channel}] Starting Sentiment MQTT client. Host: {Host}, ClientId: {ClientId}",
"SentimentChannel", config.Host, config.ClientId);
await ConnectAsync(config);
}
/// <summary>
/// Stops the MQTT client and disconnects from the broker.
/// </summary>
public async Task StopAsync(CancellationToken cancellationToken)
{
_logger.LogInformation("[{Channel}] Stopping Sentiment MQTT client and disconnecting.", "SentimentChannel");
await DisconnectAsync();
}
/// <summary>
/// Event triggered when a real-time article is broadcasted on services/news/completed.
/// </summary>
public event Func<NewsArticleDto, Task>? OnArticleReceived;
/// <inheritdoc />
protected override async Task OnConnectedAsync()
{
_logger.LogInformation(
"[{Channel}] Sentiment MQTT client connected. Subscribing to RPC response and broadcast topics...",
"SentimentChannel");
await SubscribeAsync("services/response/#");
await SubscribeAsync("services/news/completed");
await SubscribeAsync("services/request/sentiment_GetArticle/#");
await SubscribeAsync("services/request/sentiment_GetIsin/#");
await SubscribeAsync("services/request/sentiment_Analyze/#");
await SubscribeAsync("services/request/health_Ping/#");
await SubscribeAsync("services/config/updated/#");
}
/// <inheritdoc />
protected override async Task OnMessageReceivedAsync(string topic, string payload)
{
if (string.IsNullOrWhiteSpace(topic)) return;
// 1. Config update events
if (topic.StartsWith("services/config/updated", StringComparison.OrdinalIgnoreCase))
{
if (topic.EndsWith("FinlyticSentiment", StringComparison.OrdinalIgnoreCase))
{
await OnConfigUpdatedAsync(payload);
}
return;
}
if (topic.Equals("services/news/completed", StringComparison.OrdinalIgnoreCase))
{
await OnNewsCompletedAsync(payload);
return;
}
// Extract correlationId from topic suffix (e.g. services/request/sentiment_GetArticle/{correlationId})
var lastSlash = topic.LastIndexOf('/');
if (lastSlash < 0 || lastSlash >= topic.Length - 1) return;
var correlationId = topic.Substring(lastSlash + 1);
// 2. Dispatch to specific channel handlers
if (topic.Contains("sentiment_GetArticle", StringComparison.OrdinalIgnoreCase))
{
await OnSentimentGetArticleAsync(payload, correlationId);
}
else if (topic.Contains("sentiment_GetIsin", StringComparison.OrdinalIgnoreCase))
{
await OnSentimentGetIsinAsync(payload, correlationId);
}
else if (topic.Contains("sentiment_Analyze", StringComparison.OrdinalIgnoreCase))
{
await OnSentimentAnalyzeAsync(payload, correlationId);
}
else if (topic.Contains("health_Ping", StringComparison.OrdinalIgnoreCase))
{
await OnHealthPingAsync(topic, correlationId);
}
}
/// <summary>
/// Handles dynamic service config update events.
/// </summary>
private async Task OnConfigUpdatedAsync(string payload)
{
_logger.LogInformation("[{Channel}] [SentimentMqttClient] Received config update event for FinlyticSentiment.",
"SentimentChannel");
try
{
using var doc = JsonDocument.Parse(payload);
if (doc.RootElement.TryGetProperty("settings", out var settingsProp))
{
var dict = JsonSerializer.Deserialize(settingsProp.GetRawText(), typeof(Dictionary<string, string>),
FinlyticJsonSerializerContext.Default) as Dictionary<string, string>;
if (dict != null && dict.Count > 0)
{
using var scope = _scopeFactory.CreateScope();
var settingsDb = scope.ServiceProvider.GetRequiredService<ISettingsDbService>();
await settingsDb.UpdateSettingsFromDictionaryAsync(dict);
_logger.LogInformation(
"[{Channel}] [SentimentMqttClient] Successfully persisted {Count} updated settings for FinlyticSentiment.",
"SentimentChannel", dict.Count);
}
}
}
catch (Exception ex)
{
_logger.LogError(ex, "[{Channel}] [SentimentMqttClient] Error processing MQTT config update event.",
"SentimentChannel");
}
}
/// <summary>
/// Handles health_Ping RPC requests.
/// </summary>
private async Task OnHealthPingAsync(string topic, string correlationId)
{
if (topic.Contains("FinlyticSentiment", StringComparison.OrdinalIgnoreCase) ||
!topic.Contains("/", StringComparison.OrdinalIgnoreCase))
{
string respTopic = $"services/response/health_Ping/{correlationId}";
await PublishAsync(respTopic,
new ServiceHealthResponse("FinlyticSentiment", "Online", DateTime.UtcNow, "Connected"));
_logger.LogInformation(
"[{Channel}] [SentimentMqttClient] Responded to live health_Ping RPC request [CorrelationId: {CorrelationId}].",
"SentimentChannel", correlationId);
}
}
/// <summary>
/// Handles broadcasted articles on services/news/completed.
/// </summary>
private async Task OnNewsCompletedAsync(string payload)
{
if (string.IsNullOrWhiteSpace(payload)) return;
try
{
var article =
JsonSerializer.Deserialize(payload, typeof(NewsArticleDto), FinlyticJsonSerializerContext.Default) as
NewsArticleDto;
if (article != null && article.Id != Guid.Empty && OnArticleReceived != null)
{
_logger.LogInformation(
"[{Channel}] Received real-time article broadcast on services/news/completed: {Title} (ID: {Id})",
"SentimentChannel", article.Title, article.Id);
await OnArticleReceived.Invoke(article);
}
}
catch (Exception ex)
{
_logger.LogError(ex, "[{Channel}] Error parsing broadcasted article on services/news/completed.",
"SentimentChannel");
}
}
/// <summary>
/// Handles sentiment_GetArticle RPC requests using source-generated DTO deserialization.
/// </summary>
private async Task OnSentimentGetArticleAsync(string payload, string correlationId)
{
_logger.LogInformation(
"[{Channel}] [SentimentMqttClient] Processing RPC sentiment_GetArticle request [CorrelationId: {CorrelationId}]",
"SentimentChannel", correlationId);
if (string.IsNullOrWhiteSpace(payload)) return;
try
{
var request =
JsonSerializer.Deserialize(payload, typeof(ArticleRequest), FinlyticJsonSerializerContext.Default) as
ArticleRequest;
var articleId = request?.ArticleId ?? request?.Id;
if (string.IsNullOrWhiteSpace(articleId))
{
_logger.LogWarning("[{Channel}] [SentimentMqttClient] Missing articleId in request payload.",
"SentimentChannel");
return;
}
using var scope = _scopeFactory.CreateScope();
var storageService = scope.ServiceProvider.GetRequiredService<ISentimentStorageService>();
var sentimentEntry = await storageService.GetArticleSentimentAsync(articleId);
string responseTopic = $"services/response/sentiment_GetArticle/{correlationId}";
_logger.LogInformation(
"[{Channel}] [SentimentMqttClient] Publishing RPC sentiment_GetArticle response for article {ArticleId} to {ResponseTopic}",
"SentimentChannel", articleId, responseTopic);
await PublishAsync(responseTopic, sentimentEntry);
}
catch (Exception ex)
{
_logger.LogError(ex,
"[{Channel}] [SentimentMqttClient] Failed to process sentiment_GetArticle RPC request.",
"SentimentChannel");
}
}
/// <summary>
/// Handles sentiment_GetIsin RPC requests using source-generated DTO deserialization.
/// </summary>
private async Task OnSentimentGetIsinAsync(string payload, string correlationId)
{
_logger.LogInformation(
"[{Channel}] [SentimentMqttClient] Processing RPC sentiment_GetIsin request [CorrelationId: {CorrelationId}]",
"SentimentChannel", correlationId);
if (string.IsNullOrWhiteSpace(payload)) return;
try
{
var request =
JsonSerializer.Deserialize(payload, typeof(IsinRequest), FinlyticJsonSerializerContext.Default) as
IsinRequest;
var isin = request?.Isin;
if (string.IsNullOrWhiteSpace(isin))
{
_logger.LogWarning("[{Channel}] [SentimentMqttClient] Missing ISIN in request payload.",
"SentimentChannel");
return;
}
using var scope = _scopeFactory.CreateScope();
var storageService = scope.ServiceProvider.GetRequiredService<ISentimentStorageService>();
var isinSummary = await storageService.GetIsinSummaryAsync(isin);
string responseTopic = $"services/response/sentiment_GetIsin/{correlationId}";
_logger.LogInformation(
"[{Channel}] [SentimentMqttClient] Publishing RPC sentiment_GetIsin response for ISIN {Isin} to {ResponseTopic}",
"SentimentChannel", isin, responseTopic);
await PublishAsync(responseTopic, isinSummary);
}
catch (Exception ex)
{
_logger.LogError(ex, "[{Channel}] [SentimentMqttClient] Failed to process sentiment_GetIsin RPC request.",
"SentimentChannel");
}
}
/// <summary>
/// Handles manual/forced sentiment_Analyze RPC requests using existing analyzer and storage services.
/// </summary>
private async Task OnSentimentAnalyzeAsync(string payload, string correlationId)
{
_logger.LogInformation(
"[{Channel}] [SentimentMqttClient] Processing RPC sentiment_Analyze request [CorrelationId: {CorrelationId}]",
"SentimentChannel", correlationId);
string responseTopic = $"services/response/sentiment_Analyze/{correlationId}";
if (string.IsNullOrWhiteSpace(payload))
{
await PublishAsync(responseTopic, (object?)null);
return;
}
try
{
var request =
JsonSerializer.Deserialize(payload, typeof(AnalyzeSentimentRequest),
FinlyticJsonSerializerContext.Default) as AnalyzeSentimentRequest;
if (request == null ||
(string.IsNullOrWhiteSpace(request.ArticleId) && string.IsNullOrWhiteSpace(request.Isin)))
{
_logger.LogWarning(
"[{Channel}] [SentimentMqttClient] Missing ArticleId or Isin in sentiment_Analyze request payload.",
"SentimentChannel");
await PublishAsync(responseTopic, (object?)null);
return;
}
using var scope = _scopeFactory.CreateScope();
var storageService = scope.ServiceProvider.GetRequiredService<ISentimentStorageService>();
var analyzerService = scope.ServiceProvider.GetRequiredService<IFinBertAnalyzerService>();
object? result = null;
// Fall 1: Manuelle Analyse für einen einzelnen Artikel
if (!string.IsNullOrWhiteSpace(request.ArticleId))
{
var cleanArticleId = request.ArticleId.Trim();
_logger.LogInformation(
"[{Channel}] [SentimentMqttClient] Processing article analysis for ArticleId: {ArticleId} (ForceReload: {ForceReload})",
"SentimentChannel", cleanArticleId, request.ForceReload);
IsinAnalysisEntry? existingEntry = null;
if (!request.ForceReload)
{
existingEntry = await storageService.GetArticleSentimentAsync(cleanArticleId);
}
if (existingEntry != null)
{
result = existingEntry;
}
else
{
// Artikel per RPC von FinlyticNews abfragen
if (Guid.TryParse(cleanArticleId, out var articleGuid))
{
var article = await SendRpcRequestAsync<NewsArticleDto, ArticleRequest>(
"news_GetById",
new ArticleRequest(cleanArticleId, cleanArticleId),
TimeSpan.FromSeconds(8));
if (article != null)
{
var finbertResult = await analyzerService.AnalyzeArticleAsync(article);
// 🎯 NULL-CHECK: Falls Analyse fehlschlägt/null liefert -> abbrechen
if (finbertResult == null)
{
_logger.LogWarning(
"[{Channel}] [SentimentMqttClient] FinBERT analysis returned NULL for article {ArticleId}. Aborting manual analysis.",
"SentimentChannel", cleanArticleId);
await PublishAsync(responseTopic, (object?)null);
return;
}
// Speichern & Summaries aktualisieren
await storageService.SaveArticleSentimentAsync(article, finbertResult);
if (article.MatchedAssets != null && article.MatchedAssets.Count > 0)
{
foreach (var asset in article.MatchedAssets)
{
if (string.IsNullOrWhiteSpace(asset.Isin)) continue;
await storageService.UpdateIsinSummaryAsync(
asset.Isin,
asset.Name,
"General",
article,
finbertResult);
await storageService.UpdateSectorSummaryAsync(
"General",
asset.Isin,
article.Id.ToString(),
finbertResult);
}
}
// FinlyticNews über Re-Analyse informieren
await UpdateArticleStatusAsync(article.Id, "Analyzed");
result = await storageService.GetArticleSentimentAsync(cleanArticleId);
}
else
{
_logger.LogWarning(
"[{Channel}] [SentimentMqttClient] Could not retrieve article {ArticleId} from FinlyticNews for re-analysis.",
"SentimentChannel", cleanArticleId);
}
}
}
}
// Fall 2: ISIN Gesamtsummary anfordern
else if (!string.IsNullOrWhiteSpace(request.Isin))
{
var cleanIsin = request.Isin.Trim();
_logger.LogInformation("[{Channel}] [SentimentMqttClient] Fetching sentiment summary for ISIN: {Isin}",
"SentimentChannel", cleanIsin);
result = await storageService.GetIsinSummaryAsync(cleanIsin);
}
_logger.LogInformation(
"[{Channel}] [SentimentMqttClient] Publishing RPC sentiment_Analyze response to {ResponseTopic}",
"SentimentChannel", responseTopic);
await PublishAsync(responseTopic, result);
}
catch (Exception ex)
{
_logger.LogError(ex, "[{Channel}] [SentimentMqttClient] Failed to process sentiment_Analyze RPC request.",
"SentimentChannel");
await PublishAsync(responseTopic, (object?)null);
}
}
/// <summary>
/// Requests pending news articles from FinlyticNews via MQTT RPC.
/// </summary>
/// <param name="limit">The maximum number of articles to request (capped at 10).</param>
/// <returns>A list of pending news article DTOs.</returns>
public async Task<List<NewsArticleDto>> GetPendingArticlesAsync(int limit = 10)
{
try
{
var payload = new LimitRequest(Math.Min(limit, 10));
var articles =
await SendRpcRequestAsync<List<NewsArticleDto>, LimitRequest>("news_GetPending", payload,
TimeSpan.FromSeconds(10));
return articles ?? [];
}
catch (Exception ex)
{
_logger.LogError(ex, "[{Channel}] Error executing MQTT RPC for news_GetPending.", "SentimentChannel");
}
return [];
}
/// <summary>
/// Dispatches an RPC request to update the article status in FinlyticNews (e.g. to "Analyzed").
/// </summary>
/// <param name="id">The article identifier.</param>
/// <param name="status">The target status string (default "Analyzed").</param>
/// <returns>True if the status update succeeded; otherwise, false.</returns>
public async Task<bool> UpdateArticleStatusAsync(Guid id, string status = "Analyzed")
{
try
{
var request = new UpdateNewsStatusRequest(id, status);
var response =
await SendRpcRequestAsync<UpdateNewsStatusResponse, UpdateNewsStatusRequest>("news_UpdateStatus",
request, TimeSpan.FromSeconds(8));
return response?.Success ?? false;
}
catch (Exception ex)
{
_logger.LogError(ex, "[{Channel}] Error executing MQTT RPC for news_UpdateStatus (ID: {Id}).",
"SentimentChannel", id);
}
return false;
}
}
+24
View File
@@ -0,0 +1,24 @@
{
"Logging": {
"LogLevel": {
"Default": "Information",
"Microsoft.Hosting.Lifetime": "Information",
"Microsoft.EntityFrameworkCore.Database.Command": "Warning"
}
},
"ConnectionStrings": {
"DefaultConnection": "Host=localhost;Database=finlytic_sentiment;Username=admin;Password=admin"
},
"MQTT": {
"Host": "localhost",
"Port": 1883,
"ClientId": "FinlyticSentiment"
},
"Storage": {
"SummariesPath": "data/summaries"
},
"Webhooks": {
"German": "https://n8n.kleidukos.me/webhook/sentiment/de",
"English": "https://n8n.kleidukos.me/webhook/sentiment/en"
}
}