Catalog/imagecatalog/Services/ImageProcessingCoordinator.cs
MaddoScientisto 3c722a66df feat: Add AI extraction service and related view models
- Introduced `IAiExtractionService` and its implementation `AiExtractionService` for processing images and extracting text.
- Created `AiResultItem` model to hold results from AI extraction.
- Added `ImageProcessingCoordinator` to manage image processing tasks and provide progress updates.
- Implemented view models for AI settings, path settings, processing state, race upload settings, and visual settings to support UI binding.
- Updated `Program.cs` to register new services and dependencies.
- Modified project file to skip MinVer execution during local builds.
2026-03-12 18:48:13 +01:00

127 lines
4.7 KiB
C#

using System;
using System.Collections.Concurrent;
using System.Collections.Generic;
using System.Diagnostics;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;
using MaddoShared;
using Microsoft.Extensions.Logging;
namespace ImageCatalog_2.Services
{
public class ImageProcessingCoordinator : IImageProcessingCoordinator
{
private readonly ImageCreationService _imageCreationService;
private readonly ILogger<ImageProcessingCoordinator> _logger;
[CLSCompliant(false)]
public ImageProcessingCoordinator(
ImageCreationService imageCreationService,
ILogger<ImageProcessingCoordinator> logger)
{
_imageCreationService = imageCreationService;
_logger = logger;
}
public async Task<ImageProcessingRunResult> RunAsync(
ImageProcessingRunRequest request,
CancellationToken token,
Action<ImageProcessedUpdate> onImageProcessed,
Action<string> onSpeedUpdated)
{
var results = new ConcurrentBag<string>();
var recentDiffs = new Queue<int>();
const int recentWindowSize = 5;
int currentAmount = 0;
int previousAmount = 0;
int processedAtomic = 0;
var speedWatch = Stopwatch.StartNew();
using var speedTimer = new System.Threading.Timer(_ =>
{
try
{
previousAmount = currentAmount;
currentAmount = Volatile.Read(ref processedAtomic);
int diff = currentAmount - previousAmount;
if (diff < 0)
{
diff = 0;
}
lock (recentDiffs)
{
recentDiffs.Enqueue(diff);
if (recentDiffs.Count > recentWindowSize)
{
recentDiffs.Dequeue();
}
}
double avgRecent;
lock (recentDiffs)
{
avgRecent = recentDiffs.Count == 0 ? 0.0 : recentDiffs.Average();
}
double overall = 0.0;
if (speedWatch.Elapsed.TotalSeconds >= 1)
{
var elapsedSeconds = speedWatch.Elapsed.TotalSeconds;
var total = Volatile.Read(ref processedAtomic);
overall = elapsedSeconds > 0 ? total / elapsedSeconds : 0.0;
}
var recentPerMin = avgRecent * 60.0;
var elapsed = speedWatch.Elapsed;
int hours = (int)elapsed.TotalHours;
int minutes = elapsed.Minutes;
int seconds = elapsed.Seconds;
var elapsedStr = $"{hours}h {minutes}m {seconds}s";
var speedText = $"{avgRecent:0.00} f/s (media: {overall:0.00} f/s) - {elapsedStr}{Environment.NewLine}media: {recentPerMin:0.00} f/m";
onSpeedUpdated(speedText);
}
catch (Exception ex)
{
_logger.LogDebug(ex, "Failed to update speed counter");
}
}, null, TimeSpan.FromSeconds(1), TimeSpan.FromSeconds(1));
EventHandler<Tuple<string, int>> onImageProcessedInternal = (_, args) =>
{
var processed = Interlocked.Increment(ref processedAtomic);
onImageProcessed(new ImageProcessedUpdate(args.Item1, args.Item2, processed));
};
await _imageCreationService.CreaCatalogoParallel(
request.Options,
results,
onImageProcessedInternal,
token).ConfigureAwait(false);
speedWatch.Stop();
var finalProcessed = Volatile.Read(ref processedAtomic);
double overallAvg = 0.0;
double overallPerMin = 0.0;
if (speedWatch.Elapsed.TotalSeconds > 0.0)
{
overallAvg = finalProcessed / speedWatch.Elapsed.TotalSeconds;
overallPerMin = overallAvg * 60.0;
}
var finalElapsed = speedWatch.Elapsed;
int finalHours = (int)finalElapsed.TotalHours;
int finalMinutes = finalElapsed.Minutes;
int finalSeconds = finalElapsed.Seconds;
return new ImageProcessingRunResult
{
FinalSpeedCounter = $"{finalHours}h {finalMinutes}m {finalSeconds}s{Environment.NewLine}media: {overallAvg:0.00} f/s{Environment.NewLine}media: {overallPerMin:0.00} f/m"
};
}
}
}