Codex
121 lines
4.6 KiB
PowerShell
121 lines
4.6 KiB
PowerShell
[CmdletBinding()]
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param(
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[string]$Symbols = "",
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[int]$Limit = 0,
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[string]$Lookbacks = "",
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[string]$Architectures = "",
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[string]$HiddenSizes = "",
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[string]$Layers = "",
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[string]$Dropouts = "",
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[int]$Horizon = 0,
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[string]$Features = "",
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[int]$Epochs = 0,
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[int]$Patience = 0,
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[string]$Interval = "",
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[string]$EnvFile = ""
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)
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$ErrorActionPreference = "Stop"
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$RepoRoot = (Resolve-Path (Join-Path $PSScriptRoot "..")).Path
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$RuntimeDir = Join-Path $RepoRoot "runtime"
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$LogFile = Join-Path $RuntimeDir "torch_retrain.log"
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New-Item -ItemType Directory -Force -Path $RuntimeDir | Out-Null
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function Write-RetrainLog {
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param([string]$Message)
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$timestamp = Get-Date -Format "yyyy-MM-dd HH:mm:ssK"
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"[$timestamp] $Message" | Tee-Object -FilePath $LogFile -Append
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}
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function Resolve-Python {
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$venvPython = Join-Path $RepoRoot ".venv\Scripts\python.exe"
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if (Test-Path $venvPython) {
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return $venvPython
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}
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$userPython = Join-Path $env:LOCALAPPDATA "Programs\TradeBotPython312\python.exe"
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if (Test-Path $userPython) {
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return $userPython
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}
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foreach ($candidate in @("python.exe", "python")) {
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$command = Get-Command $candidate -ErrorAction SilentlyContinue
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if (-not $command) {
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continue
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}
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return $command.Source
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}
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throw "Python was not found. Create .venv or install Python 3.12."
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}
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if (-not $Symbols -and $env:TORCH_RETRAIN_SYMBOLS) { $Symbols = $env:TORCH_RETRAIN_SYMBOLS }
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if ($Limit -le 0) {
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$Limit = if ($env:TORCH_RETRAIN_LIMIT) { [int]$env:TORCH_RETRAIN_LIMIT } else { 1000 }
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}
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if (-not $Lookbacks) { $Lookbacks = if ($env:TORCH_RETRAIN_LOOKBACKS) { $env:TORCH_RETRAIN_LOOKBACKS } else { "32,64" } }
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if (-not $Architectures) { $Architectures = if ($env:TORCH_RETRAIN_ARCHITECTURES) { $env:TORCH_RETRAIN_ARCHITECTURES } else { "lstm,gru" } }
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if (-not $HiddenSizes) { $HiddenSizes = if ($env:TORCH_RETRAIN_HIDDEN_SIZES) { $env:TORCH_RETRAIN_HIDDEN_SIZES } else { "32,64" } }
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if (-not $Layers) { $Layers = if ($env:TORCH_RETRAIN_LAYERS) { $env:TORCH_RETRAIN_LAYERS } else { "2" } }
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if (-not $Dropouts) { $Dropouts = if ($env:TORCH_RETRAIN_DROPOUTS) { $env:TORCH_RETRAIN_DROPOUTS } else { "0.15" } }
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if ($Horizon -le 0 -and $env:TORCH_RETRAIN_HORIZON) { $Horizon = [int]$env:TORCH_RETRAIN_HORIZON }
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if (-not $Features -and $env:TORCH_RETRAIN_FEATURES) { $Features = $env:TORCH_RETRAIN_FEATURES }
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if ($Epochs -le 0) { $Epochs = if ($env:TORCH_RETRAIN_EPOCHS) { [int]$env:TORCH_RETRAIN_EPOCHS } else { 60 } }
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if ($Patience -le 0) { $Patience = if ($env:TORCH_RETRAIN_PATIENCE) { [int]$env:TORCH_RETRAIN_PATIENCE } else { 10 } }
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if (-not $Interval -and $env:TORCH_RETRAIN_INTERVAL) { $Interval = $env:TORCH_RETRAIN_INTERVAL }
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if (-not $EnvFile -and $env:TORCH_RETRAIN_ENV) { $EnvFile = $env:TORCH_RETRAIN_ENV }
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if (-not $EnvFile -and (Test-Path (Join-Path $RepoRoot ".env"))) { $EnvFile = Join-Path $RepoRoot ".env" }
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$mutex = New-Object System.Threading.Mutex($false, "TradeBotTorchRecurrentRetrainer")
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$hasLock = $false
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$pushedLocation = $false
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try {
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$hasLock = $mutex.WaitOne(0)
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if (-not $hasLock) {
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Write-RetrainLog "Another PyTorch recurrent retrain is already running; skipping."
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exit 0
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}
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$python = Resolve-Python
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$trainerArgs = @(
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"-u",
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"tools\train_torch_recurrent_forecaster.py",
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"--limit", $Limit.ToString(),
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"--lookbacks", $Lookbacks,
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"--architectures", $Architectures,
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"--hidden-sizes", $HiddenSizes,
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"--layers", $Layers,
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"--dropouts", $Dropouts,
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"--epochs", $Epochs.ToString(),
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"--patience", $Patience.ToString()
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)
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if ($Symbols) { $trainerArgs += @("--symbols", $Symbols) }
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if ($Interval) { $trainerArgs += @("--interval", $Interval) }
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if ($EnvFile) { $trainerArgs += @("--env", $EnvFile) }
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if ($Horizon -gt 0) { $trainerArgs += @("--horizon", $Horizon.ToString()) }
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if ($Features) { $trainerArgs += @("--features", $Features) }
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Push-Location $RepoRoot
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$pushedLocation = $true
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Write-RetrainLog "Starting PyTorch recurrent retrain: $python $($trainerArgs -join ' ')"
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& $python @trainerArgs 2>&1 | Tee-Object -FilePath $LogFile -Append
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if ($LASTEXITCODE -ne 0) {
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throw "Trainer failed with exit code $LASTEXITCODE."
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}
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Write-RetrainLog "Finished PyTorch recurrent retrain."
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}
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catch {
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Write-RetrainLog "ERROR: $($_.Exception.Message)"
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exit 1
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}
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finally {
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if ($pushedLocation) {
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Pop-Location -ErrorAction SilentlyContinue
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}
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if ($hasLock) {
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$mutex.ReleaseMutex()
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}
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$mutex.Dispose()
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}
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