code365scripts.openai.psm1
|
# import the localized resources Import-LocalizedData -FileName "resources.psd1" -BindingVariable "resources" # check if the openai.com is avaliable, if so, return true, otherwise return false function Test-OpenAIConnectivity { Write-Verbose "Test-OpenAIConnectivity" $ErrorActionPreference = 'SilentlyContinue' $response = Invoke-WebRequest -Uri "https://platform.openai.com/docs/" -Method Head -TimeoutSec 2 Write-Verbose "Response: $($response|ConvertTo-Json)" $ErrorActionPreference = 'Continue' return $response.StatusCode -eq 200 } function New-OpenAICompletion { <# .SYNOPSIS Get completion from OpenAI API .DESCRIPTION Get completion from OpenAI API, you can use this cmdlet to get completion from OpenAI API.The cmdlet accept pipeline input. You can also assign the prompt, api_key, engine, endpoint, max_tokens, temperature, n parameters. .PARAMETER prompt The prompt to get completion from OpenAI API .PARAMETER api_key The api_key to get completion from OpenAI API. You can also set api_key in environment variable OPENAI_API_KEY or OPENAI_API_KEY_Azure (if you want to use Azure OpenAI Service API). .PARAMETER engine The engine to get completion from OpenAI API. You can also set engine in environment variable OPENAI_ENGINE or OPENAI_ENGINE_Azure (if you want to use Azure OpenAI Service API). .PARAMETER endpoint The endpoint to get completion from OpenAI API. You can also set endpoint in environment variable OPENAI_ENDPOINT or OPENAI_ENDPOINT_Azure (if you want to use Azure OpenAI Service API). .PARAMETER max_tokens The max_tokens to get completion from OpenAI API. The default value is 1024. .PARAMETER temperature The temperature to get completion from OpenAI API. The default value is 1, which means most creatively. .PARAMETER n If you want to get multiple completion, you can use this parameter. The default value is 1. .PARAMETER azure If you want to use Azure OpenAI API, you can use this switch. .EXAMPLE New-OpenAICompletion -prompt "Which city is the capital of China?" Use default api_key, engine, endpoint from environment varaibles .EXAMPLE noc "Which city is the capital of China?" Use alias of the cmdlet with default api_key, engine, endpoint from environment varaibles .EXAMPLE "Which city is the capital of China?" | noc Use pipeline input .EXAMPLE noc "Which city is the capital of China?" -api_key "your api key" Set api_key in the command .EXAMPLE noc "Which city is the capital of China?" -api_key "your api key" -engine "davinci" Set api_key and engine in the command .EXAMPLE noc "Which city is the capital of China?" -azure Use Azure OpenAI API .EXAMPLE "string 1","string 2" | noc -azure Use Azure OpenAI API with pipeline input (multiple strings) .LINK https://github.com/chenxizhang/openai-powershell .INPUTS System.String, you can pass one or more string to the cmdlet, and we will get the completion for you. #> [CmdletBinding()] [Alias("noc")] param( [Parameter(Mandatory = $true, Position = 0, ValueFromPipeline = $true)][string]$prompt, [Parameter()][string]$api_key, [Parameter()][string]$engine, [Parameter()][string]$endpoint, [Parameter()][int]$max_tokens = 1024, [Parameter()][double]$temperature = 1, [Parameter()][int]$n = 1, [Parameter()][switch]$azure ) BEGIN { Write-Verbose "Parameter received. prompt: $prompt, api_key: $api_key, engine: $engine, endpoint: $endpoint, max_tokens: $max_tokens, temperature: $temperature, n: $n, azure: $azure" Write-Verbose "Environment variable detected. OPENAI_API_KEY: $env:OPENAI_API_KEY, OPENAI_API_KEY_Azure: $env:OPENAI_API_KEY_Azure, OPENAI_ENGINE: $env:OPENAI_ENGINE, OPENAI_ENGINE_Azure: $env:OPENAI_ENGINE_Azure, OPENAI_ENDPOINT: $env:OPENAI_ENDPOINT, OPENAI_ENDPOINT_Azure: $env:OPENAI_ENDPOINT_Azure" if ($azure) { $api_key = if ($api_key) { $api_key } else { if ($env:OPENAI_API_KEY_Azure) { $env:OPENAI_API_KEY_Azure } else { $env:OPENAI_API_KEY } } $engine = if ($engine) { $engine } else { $env:OPENAI_ENGINE_Azure } $endpoint = "{0}openai/deployments/{1}/completions?api-version=2022-12-01" -f $(if ($endpoint) { $endpoint }else { $env:OPENAI_ENDPOINT_Azure }), $engine } else { $api_key = if ($api_key) { $api_key } else { $env:OPENAI_API_KEY } $engine = if ($engine) { $engine } else { if ($env:OPENAI_ENGINE) { $env:OPENAI_ENGINE }else { "text-davinci-003" } } $endpoint = if ($endpoint) { $endpoint } else { if ($env:OPENAI_ENDPOINT) { $env:OPENAI_ENDPOINT }else { "https://api.openai.com/v1/completions" } } } Write-Verbose "Parameter parsed, api_key: $api_key, engine: $engine, endpoint: $endpoint" $hasError = $false if ((!$azure) -and ((Test-OpenAIConnectivity) -eq $False)) { Write-Host $resources.openai_unavaliable -ForegroundColor Red $hasError = $true } if (!$api_key) { Write-Host $resources.error_missing_api_key -ForegroundColor Red $hasError = $true } if (!$engine) { Write-Host $resources.error_missing_engine -ForegroundColor Red $hasError = $true } if (!$endpoint) { Write-Host $resources.error_missing_endpoint -ForegroundColor Red $hasError = $true } if ($hasError) { break } } PROCESS { $params = @{ Uri = $endpoint Method = "POST" Body = @{ model = "$engine" prompt = "$prompt" max_tokens = $max_tokens temperature = $temperature n = $n } | ConvertTo-Json Headers = if ($azure) { @{"api-key" = "$api_key" } } else { @{"Authorization" = "Bearer $api_key" } } ContentType = "application/json;charset=utf-8" } Write-Verbose "Prepare the params for Invoke-WebRequest: $($params | ConvertTo-Json) " try { $response = Invoke-RestMethod @params Write-Verbose "Response received: $($response| ConvertTo-Json)" if ($PSVersionTable['PSVersion'].Major -eq 5) { Write-Verbose "Powershell 5.0 detected, convert the response to UTF8" $dstEncoding = [System.Text.Encoding]::GetEncoding('iso-8859-1') $srcEncoding = [System.Text.Encoding]::UTF8 $response.choices | ForEach-Object { $_.text = $srcEncoding.GetString([System.Text.Encoding]::Convert($srcEncoding, $dstEncoding, $srcEncoding.GetBytes($_.text))) } Write-Verbose "Response converted to UTF8: $($response | ConvertTo-Json)" } # parse the response to plain text $response = $response.choices.text Write-Verbose "Response parsed to plain text: $response" # write the response to console Write-Output $response # write the response to clipboard Set-Clipboard $response Write-Verbose "Response copied to clipboard: $response" } catch { Write-Host ($_.ErrorDetails | ConvertFrom-Json).error.message -ForegroundColor Red } } } function New-ChatGPTConversation { <# .SYNOPSIS Create a new ChatGPT conversation .DESCRIPTION Create a new ChatGPT conversation, You can chat with the openai service just like chat with a human. .PARAMETER api_key Your OpenAI API key, you can also set it in environment variable OPENAI_API_KEY or OPENAI_API_KEY_Azure if you use Azure OpenAI API. .PARAMETER engine The engine to use for this request, you can also set it in environment variable OPENAI_CHAT_ENGINE or OPENAI_CHAT_ENGINE_Azure if you use Azure OpenAI API. .PARAMETER endpoint The endpoint to use for this request, you can also set it in environment variable OPENAI_ENDPOINT or OPENAI_ENDPOINT_Azure if you use Azure OpenAI API. .PARAMETER azure if you use Azure OpenAI API, you can use this switch. .PARAMETER system The system prompt, this is a string, you can use it to define the role you want it be, for example, "You are a chatbot, please answer the user's question according to the user's language." .PARAMETER stream If you want to stream the response, you can use this switch. Please note, we only support this feature in new Powershell (6.0+). .PARAMETER prompt If you want to get result immediately, you can use this parameter to define the prompt. It will not start the chat conversation. .PARAMETER config The dynamic settings for the API call, it can meet all the requirement for each model. please pass a custom object to this parameter, like @{temperature=1;max_tokens=1024} .EXAMPLE New-ChatGPTConversation Create a new ChatGPT conversation, use openai service with all the default settings. .EXAMPLE New-ChatGPTConverstaion -azure Create a new ChatGPT conversation, use Azure openai service with all the default settings. .EXAMPLE New-ChatGPTConverstaion -azure -stream Create a new ChatGPT conversation, use Azure openai service and stream the response, with all the default settings. .EXAMPLE chat -azure Create a new ChatGPT conversation by cmdlet's alias(chat), use Azure openai service with all the default settings. .EXAMPLE New-ChatGPTConversation -api_key "your api key" -engine "your engine id" Create a new ChatGPT conversation, use openai service with your api key and engine id. .EXAMPLE New-ChatGPTConversation -api_key "your api key" -engine "your engine id" -azure Create a new ChatGPT conversation, use Azure openai service with your api key and engine id. .EXAMPLE New-ChatGPTConversation -api_key "your api key" -engine "your engine id" -azure -system "You are a chatbot, please answer the user's question according to the user's language." Create a new ChatGPT conversation, use Azure openai service with your api key and engine id, and define the system prompt. .EXAMPLE New-ChatGPTConversation -api_key "your api key" -engine "your engine id" -azure -system "You are a chatbot, please answer the user's question according to the user's language." -endpoint "https://api.openai.com/v1/completions" Create a new ChatGPT conversation, use Azure openai service with your api key and engine id, and define the system prompt and endpoint. .LINK https://github.com/chenxizhang/openai-powershell #> [CmdletBinding()] [Alias("chatgpt")][Alias("chat")] param( [Parameter()][string]$api_key, [Parameter()][string]$engine, [string]$endpoint, [switch]$azure, [string]$system = "You are a chatbot, please answer the user's question according to the user's language.", [string]$prompt = "", [switch]$stream, [PSCustomObject]$config ) BEGIN { Write-Verbose "Parameter received. api_key: $api_key, engine: $engine, endpoint: $endpoint, azure: $azure, system: $system, prompt: $prompt, stream: $stream" Write-Verbose "Enviornment variable detected. OPENAI_API_KEY: $env:OPENAI_API_KEY, OPENAI_API_KEY_Azure: $env:OPENAI_API_KEY_Azure, OPENAI_ENGINE: $env:OPENAI_ENGINE, OPENAI_ENGINE_Azure: $env:OPENAI_ENGINE_Azure, OPENAI_ENDPOINT: $env:OPENAI_ENDPOINT, OPENAI_ENDPOINT_Azure: $env:OPENAI_ENDPOINT_Azure" if ($azure) { $api_key = if ($api_key) { $api_key } else { if ($env:OPENAI_API_KEY_Azure) { $env:OPENAI_API_KEY_Azure } else { $env:OPENAI_API_KEY } } $engine = if ($engine) { $engine } else { if ($env:OPENAI_CHAT_ENGINE_Azure) { $env:OPENAI_CHAT_ENGINE_Azure }else { "gpt-3.5-turbo" } } $endpoint = if ($endpoint) { $endpoint } else { "{0}openai/deployments/$engine/chat/completions?api-version=2023-03-15-preview" -f $env:OPENAI_ENDPOINT_Azure } } else { $api_key = if ($api_key) { $api_key } else { $env:OPENAI_API_KEY } $engine = if ($engine) { $engine } else { if ($env:OPENAI_CHAT_ENGINE) { $env:OPENAI_CHAT_ENGINE }else { "gpt-3.5-turbo" } } $endpoint = if ($endpoint) { $endpoint } else { "https://api.openai.com/v1/chat/completions" } } Write-Verbose "Parameter parsed. api_key: $api_key, engine: $engine, endpoint: $endpoint" $hasError = $false if ((!$azure) -and ((Test-OpenAIConnectivity) -eq $False)) { Write-Host $resources.openai_unavaliable -ForegroundColor Red $hasError = $true } if (!$api_key) { Write-Host $resources.error_missing_api_key -ForegroundColor Red $hasError = $true } if (!$engine) { Write-Host $resources.error_missing_engine -ForegroundColor Red $hasError = $true } if (($PSVersionTable['PSVersion'].Major -le 5) -and $stream) { # only new powershell support stream Write-Host $resources.powershell_version_unsupported -ForegroundColor Red $hasError = $true } if ($hasError) { break } } PROCESS { if ($prompt.Length -gt 0) { Write-Verbose "Prompt received: $prompt, so it is in prompt mode, not in chat mode." $messages = @( @{ role = "system" content = $system }, @{ role = "user" content = $prompt } ) $params = @{ Uri = $endpoint Method = "POST" Body = @{model = "$engine"; messages = $messages } Headers = if ($azure) { @{"api-key" = "$api_key" } } else { @{"Authorization" = "Bearer $api_key" } } ContentType = "application/json;charset=utf-8" } if ($config) { Merge-Hashtable -table1 $params.Body -table2 $config } $params.Body = ($params.Body | ConvertTo-Json) Write-Verbose "Prepare the params for Invoke-WebRequest: $($params|ConvertTo-Json)" $response = Invoke-RestMethod @params Write-Verbose "Response received: $($response|ConvertTo-Json)" $result = $response.choices[0].message.content Write-Verbose "Response parsed to plain text: $result" Write-Output $result } else { Write-Verbose "Prompt not received, so it is in chat mode." $index = 1; $welcome = "`n{0}`n{1}" -f ($resources.welcome_chatgpt -f $(if ($azure) { " $($resources.azure_version) " } else { "" }), $engine), $resources.shortcuts Write-Host $welcome -ForegroundColor Yellow Write-Host $system -ForegroundColor Cyan $messages = @() $systemPrompt = @( [PSCustomObject]@{ role = "system" content = $system } ) Write-Verbose "Prepare the system prompt: $($systemPrompt|ConvertTo-Json)" while ($true) { Write-Verbose "Start a new loop - let's chat!" $current = $index++ $prompt = Read-Host -Prompt "`n[$current] $($resources.prompt)" Write-Verbose "Prompt received: $prompt" $stopwatch = [System.Diagnostics.Stopwatch]::StartNew() if ($prompt -eq "q") { Write-Verbose "User pressed q, so we will quit the chat." break } if ($prompt -eq "m") { Write-Verbose "User pressed m, so we will prompt a window to collect user input in multi-lines mode." $prompt = Read-MultiLineInputBoxDialog -Message $resources.multi_line_prompt -WindowTitle $resources.multi_line_prompt -DefaultText "" Write-Verbose "Prompt received: $prompt" if ($null -eq $prompt) { Write-Host $resources.cancel_button_message continue } else { Write-Host "$($resources.multi_line_message)`n$prompt" } } if ($prompt -eq "f") { Write-Verbose "User pressed f, so we will prompt a window to collect user input from a file." $file = Read-OpenFileDialog -WindowTitle $resources.file_prompt Write-Verbose "File received: $file" if (!($file)) { Write-Host $resources.cancel_button_message continue } else { $prompt = Get-Content $file -Encoding utf8 Write-Host "$($resources.multi_line_message)`n$prompt" } } $messages += [PSCustomObject]@{ role = "user" content = $prompt } Write-Verbose "Prepare the messages: $($messages|ConvertTo-Json)" $params = @{ Uri = $endpoint Method = "POST" Body = @{model = "$engine"; messages = ($systemPrompt + $messages[-5..-1]); stream = if ($stream) { $true }else { $false } } Headers = if ($azure) { @{"api-key" = "$api_key" } } else { @{"Authorization" = "Bearer $api_key" } } ContentType = "application/json;charset=utf-8" } if ($config) { Merge-Hashtable -table1 $params.Body -table2 $config } $params.Body = ($params.Body | ConvertTo-Json) Write-Verbose "Prepare the params for Invoke-WebRequest: $($params|ConvertTo-Json)" try { if ($stream) { Write-Verbose "Stream mode detected, so we will use Invoke-WebRequest to stream the response." $stopwatch.Stop() Write-Verbose "Stopped watcher" $client = New-Object System.Net.Http.HttpClient $body = $params.Body Write-Verbose "body: $body" $request = [System.Net.Http.HttpRequestMessage]::new() $request.Method = "POST" $request.RequestUri = $params.Uri $request.Content = [System.Net.Http.StringContent]::new(($body), [System.Text.Encoding]::UTF8) $request.Content.Headers.Clear() if ($azure) { $request.Content.Headers.Add("api-key", $api_key) } else { $request.Content.Headers.Add("Authorization", "Bearer $api_key") } $request.Content.Headers.Add("Content-Type", "application/json;charset=utf-8") Write-Verbose "Prepared the client" $task = $client.Send($request) Write-Verbose "Got task result: $task" $response = $task.Content.ReadAsStream() $reader = [System.IO.StreamReader]::new($response) Write-Verbose "Got task stream response and reader: $response, $reader" $result = "" # message from the api Write-Host -ForegroundColor Red "`n[$current] " -NoNewline while ($true) { $line = $reader.ReadLine() Write-Verbose "Read line from stream: $line" if (($line -eq $null) -or ($line -eq "data: [DONE]")) { break } $chunk = ($line -replace "data: ", "" | ConvertFrom-Json).choices.delta.content Write-Host $chunk -NoNewline -ForegroundColor Green Write-Verbose "Chunk received: $chunk" $result += $chunk Start-Sleep -Milliseconds 50 } $reader.Close() $reader.Dispose() $stream.Close() $messages += [PSCustomObject]@{ role = "assistant" content = $result } Write-Verbose "Message combined. $($messages|ConvertTo-Json)" Set-Clipboard $result Write-Host "" } else { Write-Verbose "It is not in stream mode." $response = Invoke-RestMethod @params Write-Verbose "Response received: $($response| ConvertTo-Json)" $stopwatch.Stop() $result = $response.choices[0].message.content $total_tokens = $response.usage.total_tokens $prompt_tokens = $response.usage.prompt_tokens $completion_tokens = $response.usage.completion_tokens Write-Verbose "Response parsed to plain text: $result, total_tokens: $total_tokens, prompt_tokens: $prompt_tokens, completion_tokens: $completion_tokens" if ($PSVersionTable['PSVersion'].Major -le 5) { Write-Verbose "Powershell 5.0 detected, convert the response to UTF8" $dstEncoding = [System.Text.Encoding]::GetEncoding('iso-8859-1') $srcEncoding = [System.Text.Encoding]::UTF8 $result = $srcEncoding.GetString([System.Text.Encoding]::Convert($srcEncoding, $dstEncoding, $srcEncoding.GetBytes($result))) Write-Verbose "Response converted to UTF8: $result" } $messages += [PSCustomObject]@{ role = "assistant" content = $result } Write-Verbose "Message combined. $($messages|ConvertTo-Json)" Write-Host -ForegroundColor Red ("`n[$current] $($resources.response)" -f $total_tokens, $prompt_tokens, $completion_tokens ) Set-Clipboard $result Write-Host $result -ForegroundColor Green } } catch { Write-Host $_.ErrorDetails -ForegroundColor Red } } } } } function New-ImageGeneration { [CmdletBinding()] [Alias("dall")][Alias("image")] param( [parameter(Mandatory = $true)][string]$prompt, [string]$api_key, [string]$endpoint, [switch]$azure, [int]$n = 1, #for azure, the n can be 1-5, for openai, the n can be 1-10 [ImageSize]$size = 2, [string]$outfolder = "." ) BEGIN { Write-Verbose "Parameter received. api_key: $api_key, endpoint: $endpoint, azure: $azure, n: $n, size: $size" Write-Verbose "Enviornment variable detected. OPENAI_API_KEY: $env:OPENAI_API_KEY, OPENAI_API_KEY_Azure: $env:OPENAI_API_KEY_Azure, OPENAI_ENDPOINT: $env:OPENAI_ENDPOINT, OPENAI_ENDPOINT_Azure: $env:OPENAI_ENDPOINT_Azure" if ($azure) { $api_key = if ($api_key) { $api_key } else { if ($env:OPENAI_API_KEY_Azure) { $env:OPENAI_API_KEY_Azure } else { $env:OPENAI_API_KEY } } $endpoint = if ($endpoint) { $endpoint } else { "{0}openai/images/generations:submit?api-version=2023-06-01-preview" -f $env:OPENAI_ENDPOINT_Azure } } else { $api_key = if ($api_key) { $api_key } else { $env:OPENAI_API_KEY } $endpoint = if ($endpoint) { $endpoint } else { "https://api.openai.com/v1/images/generations" } } Write-Verbose "Parameter parsed. api_key: $api_key, endpoint: $endpoint" $hasError = $false if ((!$azure) -and ((Test-OpenAIConnectivity) -eq $False)) { Write-Host $resources.openai_unavaliable -ForegroundColor Red $hasError = $true } if (!$api_key) { Write-Host $resources.error_missing_api_key -ForegroundColor Red $hasError = $true } if (!$endpoint) { Write-Host $resources.error_missing_endpoint -ForegroundColor Red $hasError = $true } if ($hasError) { break } } PROCESS { $body = @{ prompt = $prompt n = $n size = if ($size -eq 0) { "1024x1024" }elseif ($size -eq 1) { "512x512" }else { "256x256" } } | ConvertTo-Json $headers = @{ "Content-Type" = "application/json" } if ($azure) { $headers.Add("api-key",$api_key) $request = Invoke-WebRequest -Method Post -Uri $endpoint -Headers $headers -Body $body $location = $request.Headers['operation-location'][0] Write-Verbose "Location received: $location" while ($true) { $query = Invoke-RestMethod -Uri $location -Headers $headers if ($query.status -eq 'succeeded') { $query.result.data | Select-Object -ExpandProperty url | ForEach-Object { $filename = [System.Guid]::NewGuid().ToString() + ".png" $file = [System.IO.Path]::Join($outfolder, $filename) Write-Verbose "Downloading file: $file" Invoke-WebRequest -Uri $_ -OutFile $file } Write-Host "Download completed, please check the folder: $outfolder" break } else { Start-Sleep -Seconds 1 } } } else { # call openai api to generate image $headers.Add("Authorization","Bearer $api_key") $request = Invoke-WebRequest -Method Post -Uri $endpoint -Headers $headers -Body $body ($request | ConvertTo-Json).data | Select-Object -ExpandProperty url | ForEach-Object { $filename = [System.Guid]::NewGuid().ToString() + ".png" $file = [System.IO.Path]::Join($outfolder, $filename) Write-Verbose "Downloading file: $file" Invoke-WebRequest -Uri $_ -OutFile $file } Write-Host "Download completed, please check the folder: $outfolder" } } END { } } # define a enum that contain 1024x1204, 512x512,256x256 enum ImageSize { Large = 0 Middle = 1 Small = 2 } function Read-OpenFileDialog([string]$WindowTitle, [string]$InitialDirectory, [string]$Filter = "All files (*.*)|*.*", [switch]$AllowMultiSelect) { Add-Type -AssemblyName System.Windows.Forms $openFileDialog = New-Object System.Windows.Forms.OpenFileDialog $openFileDialog.Title = $WindowTitle if (![string]::IsNullOrWhiteSpace($InitialDirectory)) { $openFileDialog.InitialDirectory = $InitialDirectory } $openFileDialog.Filter = $Filter if ($AllowMultiSelect) { $openFileDialog.MultiSelect = $true } $openFileDialog.ShowHelp = $true # Without this line the ShowDialog() function may hang depending on system configuration and running from console vs. ISE. $openFileDialog.ShowDialog() > $null if ($AllowMultiSelect) { return $openFileDialog.Filenames } else { return $openFileDialog.Filename } } function Read-MultiLineInputBoxDialog([string]$Message, [string]$WindowTitle, [string]$DefaultText) { <# .SYNOPSIS Prompts the user with a multi-line input box and returns the text they enter, or null if they cancelled the prompt. .DESCRIPTION Prompts the user with a multi-line input box and returns the text they enter, or null if they cancelled the prompt. .PARAMETER Message The message to display to the user explaining what text we are asking them to enter. .PARAMETER WindowTitle The text to display on the prompt window's title. .PARAMETER DefaultText The default text to show in the input box. .EXAMPLE $userText = Read-MultiLineInputDialog "Input some text please:" "Get User's Input" Shows how to create a simple prompt to get mutli-line input from a user. .EXAMPLE # Setup the default multi-line address to fill the input box with. $defaultAddress = @' John Doe 123 St. Some Town, SK, Canada A1B 2C3 '@ $address = Read-MultiLineInputDialog "Please enter your full address, including name, street, city, and postal code:" "Get User's Address" $defaultAddress if ($address -eq $null) { Write-Error "You pressed the Cancel button on the multi-line input box." } Prompts the user for their address and stores it in a variable, pre-filling the input box with a default multi-line address. If the user pressed the Cancel button an error is written to the console. .EXAMPLE $inputText = Read-MultiLineInputDialog -Message "If you have a really long message you can break it apart`nover two lines with the powershell newline character:" -WindowTitle "Window Title" -DefaultText "Default text for the input box." Shows how to break the second parameter (Message) up onto two lines using the powershell newline character (`n). If you break the message up into more than two lines the extra lines will be hidden behind or show ontop of the TextBox. .NOTES Name: Show-MultiLineInputDialog Author: Daniel Schroeder (originally based on the code shown at http://technet.microsoft.com/en-us/library/ff730941.aspx) Version: 1.0 #> Add-Type -AssemblyName System.Drawing Add-Type -AssemblyName System.Windows.Forms # Create the Label. $label = New-Object System.Windows.Forms.Label $label.Location = New-Object System.Drawing.Size(10, 10) $label.Size = New-Object System.Drawing.Size(280, 20) $label.AutoSize = $true $label.Text = $Message # Create the TextBox used to capture the user's text. $textBox = New-Object System.Windows.Forms.TextBox $textBox.Location = New-Object System.Drawing.Size(10, 40) $textBox.Size = New-Object System.Drawing.Size(575, 200) $textBox.AcceptsReturn = $true $textBox.AcceptsTab = $false $textBox.Multiline = $true $textBox.ScrollBars = 'Both' $textBox.Text = $DefaultText # Create the OK button. $okButton = New-Object System.Windows.Forms.Button $okButton.Location = New-Object System.Drawing.Size(415, 250) $okButton.Size = New-Object System.Drawing.Size(75, 25) $okButton.Text = $resources.dialog_okbutton_text $okButton.Add_Click({ $form.Tag = $textBox.Text; $form.Close() }) # Create the Cancel button. $cancelButton = New-Object System.Windows.Forms.Button $cancelButton.Location = New-Object System.Drawing.Size(510, 250) $cancelButton.Size = New-Object System.Drawing.Size(75, 25) $cancelButton.Text = $resources.dialog_cancelbutton_text $cancelButton.Add_Click({ $form.Tag = $null; $form.Close() }) # Create the form. $form = New-Object System.Windows.Forms.Form $form.Text = $WindowTitle $form.Size = New-Object System.Drawing.Size(610, 320) $form.FormBorderStyle = 'FixedSingle' $form.StartPosition = "CenterScreen" $form.AutoSizeMode = 'GrowAndShrink' $form.Topmost = $True $form.AcceptButton = $okButton $form.CancelButton = $cancelButton $form.ShowInTaskbar = $true # Add all of the controls to the form. $form.Controls.Add($label) $form.Controls.Add($textBox) $form.Controls.Add($okButton) $form.Controls.Add($cancelButton) # Initialize and show the form. $form.Add_Shown({ $form.Activate() }) $form.ShowDialog() > $null # Trash the text of the button that was clicked. # Return the text that the user entered. return $form.Tag } function Merge-Hashtable($table1, $table2) { foreach ($key in $table2.Keys) { if ($table1.ContainsKey($key)) { $table1[$key] = $table2[$key] # 用第二个hashtable的值覆盖第一个hashtable的值 } else { $table1.Add($key, $table2[$key]) } } } |