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242 lines
8.9 KiB
242 lines
8.9 KiB
using System.Diagnostics; |
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using System.Diagnostics.CodeAnalysis; |
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using System.Text.RegularExpressions; |
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using StabilityMatrix.Core.Helper; |
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using StabilityMatrix.Core.Helper.Cache; |
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using StabilityMatrix.Core.Models.Progress; |
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using StabilityMatrix.Core.Processes; |
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using StabilityMatrix.Core.Python; |
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using StabilityMatrix.Core.Services; |
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namespace StabilityMatrix.Core.Models.Packages; |
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public class VladAutomatic : BaseGitPackage |
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{ |
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public override string Name => "automatic"; |
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public override string DisplayName { get; set; } = "SD.Next Web UI"; |
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public override string Author => "vladmandic"; |
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public override string Blurb => "Stable Diffusion implementation with advanced features"; |
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public override string LaunchCommand => "launch.py"; |
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public override Uri PreviewImageUri => |
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new("https://github.com/vladmandic/automatic/raw/master/html/black-orange.jpg"); |
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public override bool ShouldIgnoreReleases => true; |
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public VladAutomatic(IGithubApiCache githubApi, ISettingsManager settingsManager, IDownloadService downloadService, |
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IPrerequisiteHelper prerequisiteHelper) : |
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base(githubApi, settingsManager, downloadService, prerequisiteHelper) |
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{ |
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} |
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// https://github.com/vladmandic/automatic/blob/master/modules/shared.py#L324 |
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public override Dictionary<SharedFolderType, string> SharedFolders => new() |
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{ |
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[SharedFolderType.StableDiffusion] = "models/Stable-diffusion", |
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[SharedFolderType.Diffusers] = "models/Diffusers", |
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[SharedFolderType.VAE] = "models/VAE", |
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[SharedFolderType.TextualInversion] = "models/embeddings", |
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[SharedFolderType.Hypernetwork] = "models/hypernetworks", |
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[SharedFolderType.Codeformer] = "models/Codeformer", |
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[SharedFolderType.GFPGAN] = "models/GFPGAN", |
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[SharedFolderType.BSRGAN] = "models/BSRGAN", |
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[SharedFolderType.ESRGAN] = "models/ESRGAN", |
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[SharedFolderType.RealESRGAN] = "models/RealESRGAN", |
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[SharedFolderType.ScuNET] = "models/ScuNET", |
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[SharedFolderType.SwinIR] = "models/SwinIR", |
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[SharedFolderType.LDSR] = "models/LDSR", |
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[SharedFolderType.CLIP] = "models/CLIP", |
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[SharedFolderType.Lora] = "models/Lora", |
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[SharedFolderType.LyCORIS] = "models/LyCORIS", |
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}; |
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[SuppressMessage("ReSharper", "ArrangeObjectCreationWhenTypeNotEvident")] |
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public override List<LaunchOptionDefinition> LaunchOptions => new() |
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{ |
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new() |
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{ |
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Name = "Host", |
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Type = LaunchOptionType.String, |
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DefaultValue = "localhost", |
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Options = new() {"--server-name"} |
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}, |
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new() |
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{ |
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Name = "Port", |
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Type = LaunchOptionType.String, |
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DefaultValue = "7860", |
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Options = new() {"--port"} |
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}, |
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new() |
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{ |
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Name = "VRAM", |
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Type = LaunchOptionType.Bool, |
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InitialValue = HardwareHelper.IterGpuInfo().Select(gpu => gpu.MemoryLevel).Max() switch |
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{ |
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Level.Low => "--lowvram", |
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Level.Medium => "--medvram", |
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_ => null |
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}, |
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Options = new() { "--lowvram", "--medvram" } |
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}, |
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new() |
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{ |
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Name = "Force use of Intel OneAPI XPU backend", |
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Type = LaunchOptionType.Bool, |
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Options = new() { "--use-ipex" } |
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}, |
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new() |
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{ |
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Name = "Use DirectML if no compatible GPU is detected", |
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Type = LaunchOptionType.Bool, |
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InitialValue = !HardwareHelper.HasNvidiaGpu() && HardwareHelper.HasAmdGpu(), |
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Options = new() { "--use-directml" } |
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}, |
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new() |
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{ |
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Name = "Force use of Nvidia CUDA backend", |
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Type = LaunchOptionType.Bool, |
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Options = new() { "--use-cuda" } |
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}, |
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new() |
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{ |
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Name = "Force use of AMD ROCm backend", |
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Type = LaunchOptionType.Bool, |
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Options = new() { "--use-rocm" } |
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}, |
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new() |
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{ |
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Name = "CUDA Device ID", |
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Type = LaunchOptionType.String, |
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Options = new() { "--device-id" } |
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}, |
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new() |
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{ |
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Name = "API", |
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Type = LaunchOptionType.Bool, |
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Options = new() { "--api" } |
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}, |
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new() |
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{ |
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Name = "Debug Logging", |
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Type = LaunchOptionType.Bool, |
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Options = new() { "--debug" } |
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}, |
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LaunchOptionDefinition.Extras |
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}; |
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public override string ExtraLaunchArguments => ""; |
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public override Task<string> GetLatestVersion() => Task.FromResult("master"); |
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public override async Task<IEnumerable<PackageVersion>> GetAllVersions(bool isReleaseMode = true) |
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{ |
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var allBranches = await GetAllBranches(); |
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return allBranches.Select(b => new PackageVersion |
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{ |
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TagName = $"{b.Name}", |
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ReleaseNotesMarkdown = string.Empty |
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}); |
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} |
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public override async Task InstallPackage(IProgress<ProgressReport>? progress = null) |
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{ |
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progress?.Report(new ProgressReport(-1, isIndeterminate: true)); |
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// Setup venv |
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var venvRunner = new PyVenvRunner(Path.Combine(InstallLocation, "venv")); |
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if (!venvRunner.Exists()) |
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{ |
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await venvRunner.Setup(); |
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} |
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// Install torch / xformers based on gpu info |
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var gpus = HardwareHelper.IterGpuInfo().ToList(); |
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if (gpus.Any(g => g.IsNvidia)) |
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{ |
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Logger.Info("Starting torch install (CUDA)..."); |
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await venvRunner.PipInstall(PyVenvRunner.TorchPipInstallArgsCuda, |
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InstallLocation, OnConsoleOutput); |
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Logger.Info("Installing xformers..."); |
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await venvRunner.PipInstall("xformers", InstallLocation, OnConsoleOutput); |
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} |
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else if (gpus.Any(g => g.IsAmd)) |
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{ |
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Logger.Info("Starting torch install (DirectML)..."); |
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await venvRunner.PipInstall(PyVenvRunner.TorchPipInstallArgsDirectML); |
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} |
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else |
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{ |
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Logger.Info("Starting torch install (CPU)..."); |
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await venvRunner.PipInstall(PyVenvRunner.TorchPipInstallArgsCpu); |
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} |
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// Install requirements file |
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Logger.Info("Installing requirements.txt"); |
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await venvRunner.PipInstall($"-r requirements.txt", InstallLocation, OnConsoleOutput); |
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progress?.Report(new ProgressReport(1, isIndeterminate: false)); |
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} |
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public override async Task<string?> DownloadPackage(string version, bool isCommitHash, IProgress<ProgressReport>? progress = null) |
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{ |
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progress?.Report(new ProgressReport(0.1f, message: "Downloading package...", isIndeterminate: true, type: ProgressType.Download)); |
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Directory.CreateDirectory(InstallLocation); |
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await PrerequisiteHelper.RunGit(null, "clone", "https://github.com/vladmandic/automatic", |
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InstallLocation); |
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await PrerequisiteHelper.RunGit(workingDirectory: InstallLocation, "checkout", version); |
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return version; |
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} |
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public override async Task RunPackage(string installedPackagePath, string arguments) |
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{ |
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await SetupVenv(installedPackagePath); |
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PrerequisiteHelper.UpdatePathExtensions(); |
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void HandleConsoleOutput(ProcessOutput s) |
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{ |
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OnConsoleOutput(s); |
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if (s.Text.Contains("Running on local URL", StringComparison.OrdinalIgnoreCase)) |
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{ |
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var regex = new Regex(@"(https?:\/\/)([^:\s]+):(\d+)"); |
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var match = regex.Match(s.Text); |
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if (match.Success) |
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{ |
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WebUrl = match.Value; |
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OnStartupComplete(WebUrl); |
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} |
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} |
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} |
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void HandleExit(int i) |
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{ |
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Debug.WriteLine($"Venv process exited with code {i}"); |
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OnExit(i); |
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} |
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var args = $"\"{Path.Combine(installedPackagePath, LaunchCommand)}\" {arguments}"; |
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VenvRunner?.RunDetached(args.TrimEnd(), HandleConsoleOutput, HandleExit, workingDirectory: installedPackagePath); |
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} |
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public override async Task<string> Update(InstalledPackage installedPackage, IProgress<ProgressReport>? progress = null) |
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{ |
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progress?.Report(new ProgressReport(0.1f, message: "Downloading package update...", isIndeterminate: true, type: ProgressType.Download)); |
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var version = await GithubApi.GetAllCommits(Author, Name, installedPackage.InstalledBranch); |
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var latest = version is {Count: > 0} ? version[0] : null; |
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if (latest == null) |
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{ |
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Logger.Warn("No latest version found for vlad"); |
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return string.Empty; |
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} |
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await PrerequisiteHelper.RunGit(workingDirectory: installedPackage.FullPath, "pull", "origin", installedPackage.InstalledBranch); |
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progress?.Report(new ProgressReport(1f, message: "Update Complete", isIndeterminate: true, type: ProgressType.Generic)); |
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return latest.Sha; |
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} |
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}
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