2024 05 10 user inquiry python script translation to powershell - bizkite-co/handterm GitHub Wiki


original file name: Codeium Chat - aEo8bYBrH8maeJi6PeUsoYUar0carrl7.md summary: The user started by asking how to rewrite a Python script, summarize-chats.py, in PowerShell. I provided a rough translation of the script and explained the logic. The user then inquired about implementing an OpenAI API call in PowerShell, providing an OpenAI key. I shared a script snippet demonstrating how to make the API request using Invoke-RestMethod.

Next, the user asked about escaping special characters in the content for inclusion in the API request body. I explained that PowerShell's ConvertTo-Json handles escaping automatically. The user then faced an error related to the API request, and I pointed out that the API expected a "prompt" field instead of "messages." I provided guidance on modifying the request body accordingly.

The user highlighted a concern that the revised $body lacked a summarize directive. I explained the need to include an instruction to summarize in the prompt provided to the API. Finally, I shared an updated script snippet incorporating the summarize instruction for the OpenAI API call. date: 2024-05-10T11:09

Codeium Chat Conversation

Note: This is purely the output of the chat conversation and does not contain any raw data, codebase snippets, etc. used to generate the output.

User at 11:09 am, May 10, 2024

Can you rewrite summarize-chats.py in PowerShell?


Codeium at 11:10 am, May 10, 2024

To rewrite summarize-chats.py in PowerShell, you would replicate the script's logic using PowerShell cmdlets and scripting features. Below is a rough translation of the Python script into a PowerShell script. This assumes you have the necessary modules and your environment is configured to run PowerShell scripts.

# Define the directory containing the chat files
$directory = "docs/chats/"

# Get all markdown files in the directory
$files = Get-ChildItem -Path $directory -Filter "Codeium Chat - *.md"

foreach ($file in $files) {
    # Get the full path of the file
    $filepath = Join-Path $directory $file.Name

    # Get the last modification time of the file
    $fileModificationDateTime = (Get-Item $filepath).LastWriteTime

    # If the file was modified within the last 24 hours, skip it
    if ((Get-Date) - $fileModificationDateTime -lt [TimeSpan]::FromDays(1)) {
        continue
    }

    # Read the content of the file
    $content = Get-Content $filepath -Raw

    # Look for the first occurrence of the datetime pattern and convert it to a datetime object
    $datetimePattern = '\d{1,2}:\d{2} [ap]m, [A-Z][a-z]{2} \d{1,2}, \d{4}'
    $dateStr = [Regex]::Match($content, $datetimePattern).Value
    if ($dateStr) {
        # Parse the datetime string into a datetime object
        $dateObj = [DateTime]::ParseExact($dateStr, "h:mm tt, MMM d, yyyy", $null)
    }

    # Truncate the content if necessary (not shown in this example)

    # Send the content to an API to obtain a summary (not shown in this example)

    # Construct the new content with the summary and original content
    $newContent = "---`n"
    $newContent += "original file name: " + $file.Name + "`n"
    $newContent += "summary: " + $summary + "`n"
    $newContent += "date: " + $dateObj.ToString("yyyy-MM-ddTHH:mm") + "`n"
    $newContent += "---`n`n"
    $newContent += $content

    # Write the new content back to the file
    Set-Content -Path $filepath -Value $newContent

    # Rename the file with a new name based on the summary and date
    $title = $title.ToLower().Replace(' ', '-').Replace('_', '-')
    $title = [Regex]::Replace($title, "[^\w\-]", "")
    $newFilename = $dateObj.ToString("yyyy-MM-dd") + "-" + $title + ".md"
    Write-Host "Renaming $($file.Name) to $newFilename"
    Rename-Item -Path $filepath -NewName $newFilename
}

Please note that this script does not include the API call to OpenAI for summarization, which would need to be implemented with PowerShell's Invoke-RestMethod cmdlet or similar, depending on the API's requirements.

This PowerShell script is a starting point and would need to be filled in with the actual logic for truncating content, obtaining summaries, and any other specific business logic that was present in summarize-chats.py. Additionally, the date parsing and formatting may need to be adjusted to match your exact requirements and data formats.


User at 11:22 am, May 10, 2024

How would I implement the call to OpenAI? I have an OpenAI key in os.environ.get("OPENAI_API_KEY")


Codeium at 11:23 am, May 10, 2024

To call the OpenAI API using PowerShell, you would use the Invoke-RestMethod cmdlet. Before you begin, you need to ensure that your OpenAI API key is available in the environment variables of the system where the PowerShell script runs. You can set an environment variable in Windows using the System Properties or with the setx command in the Command Prompt.

Here's how you might implement the OpenAI API call in PowerShell:

# Assuming your OpenAI API key is stored in the environment variable "OPENAI_API_KEY"
$openAiApiKey = [System.Environment]::GetEnvironmentVariable("OPENAI_API_KEY", "User")

# Define the OpenAI API URL for the chat completions endpoint
$openAiUrl = "https://api.openai.com/v1/engines/gpt-3.5-turbo/completions"

# Prepare the headers with the authorization
$headers = @{
    "Authorization" = "Bearer $openAiApiKey"
    "Content-Type" = "application/json"
}

# Define the data payload for the API request
$body = @{
    model = "gpt-3.5-turbo"
    messages = @(
        @{
            role = "system"
            content = "You are a helpful assistant."
        },
        @{
            role = "user"
            content = "Summarize this chat:"
        },
        @{
            role = "assistant"
            content = $truncatedContent # Your chat content here
        }
    )
} | ConvertTo-Json

# Make the API request and capture the response
$response = Invoke-RestMethod -Method Post -Uri $openAiUrl -Headers $headers -Body $body

# Extract the summary from the response
$summary = $response.choices[0].message.content

# Now you can use $summary in your script as needed

Please adapt the $truncatedContent variable to contain the chat content that you wish to summarize. This script snippet assumes that you have a valid OpenAI API key set in your user environment variables and the truncatedContent variable contains the content you want to send to the API for summarization.

It's also important to handle errors that might occur during the API call, for example, if the API key is invalid or if there is a network issue. You can do this by wrapping the API call in a try-catch block.

Remember that when running scripts or making API calls that include sensitive information like API keys, you should ensure that the environment is secure and that the script does not inadvertently expose your key.


User at 11:44 am, May 10, 2024

$content is a Markdown file and may contain quote marks and backticks. How can I make sure it's properly escaped for inclusion in the $body?


Codeium at 11:44 am, May 10, 2024

When you create the $body object in PowerShell and use ConvertTo-Json to convert it to a JSON string, PowerShell automatically handles the escaping of special characters such as quotes and backticks. This means that when you pass $content to ConvertTo-Json, any special characters that need to be escaped in JSON will be escaped correctly.

Here's an example demonstrating this:

# Sample content with quotes and backticks
$content = @"
This is a sample content with "quotes" and `backticks`.
"@

# The data payload for the API request
$body = @{
    model = "gpt-3.5-turbo"
    messages = @(
        @{
            role = "system"
            content = "You are a helpful assistant."
        },
        @{
            role = "user"
            content = "Summarize this chat:"
        },
        @{
            role = "assistant"
            content = $content 
        }
    )
} | ConvertTo-Json -Depth 10

# Output the JSON to see the escaped characters
Write-Host $body

When you run this script, you'll see that the output JSON string has the quotes and backticks properly escaped. The -Depth parameter in ConvertTo-Json is used to specify how many levels deep to convert objects within objects. You can adjust this value as needed based on the complexity of your $body object.

PowerShell's ConvertTo-Json cmdlet takes care of escaping these characters to ensure that the resulting JSON is valid. Therefore, you don't need to manually escape the content of the Markdown file when constructing your $body object for the API request.


User at 11:48 am, May 10, 2024

I am getting this error:

Invoke-RestMethod: C:\Users\xgenx\source\repos\handex.io\dev-scripts\summarize-chats.ps1:71:17          
Line |
 71 | … $response = Invoke-RestMethod -Method Post -Uri $openAiUrl -Headers $ …
   |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   | {  "error": {   "message": "Unrecognized request argument supplied: messages",   "type":
   | "invalid_request_error",   "param": null,   "code": null  } }

and the $body prints out like this:

{
 "messages": [
  {
   "role": "system",
   "content": "You are a helpful assistant."
  },
  {
   "role": "user",
   "content": "Summarize this chat:"
  },
  {
   "role": "assistant",
   "content": "# Codeium Chat Conversation\n\nNote: _This is purely the output of the chat conversation and does not contain any raw data, codebase snippets, etc. used to generate the output._\n\n**User** _at 9:05 pm, May 9, 2024_\n\nExplain problem: `JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.`\n\n---\n\n**Codeium** _at 9:05 pm, May 9, 2024_\n\nThe issue \"JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists\" occurs because the JSX element `<use>` is not a standard HTML element and therefore TypeScript doesn't have a predefined type for it in the `JSX.IntrinsicElements` interface.\n\nTo resolve this, you can create an interface for the custom SVG elements you are using in your project. Here's an example of how you can define an interface for the `use` element:\n\n```tsx\ndeclare global {\n namespace JSX {\n  interface IntrinsicElements {\n   'use': React.SVGProps<SVGUseElement>;\n  }\n }\n}\n```\n\nYou can add this declaration at the beginning of your file or in a separate file to provide TypeScript with the necessary type information for the custom SVG elements like `<use>` that you are using in your JSX code.\n\nThis declaration tells TypeScript that the `<use>` element in your JSX code should be treated as an SVG element with properties that match `SVGUseElement` from the React typings.\n\n---\n\n**User** _at 9:29 pm, May 9, 2024_\n\nWhat file would I put that in?\n\n---\n\n**Codeium** _at 9:29 pm, May 9, 2024_\n\nYou can put the interface declaration in a TypeScript declaration file (`.d.ts`) that is included in your project. For example, you can create a file named `svg.d.ts` in your project with the following content:\n\n```typescript\n// svg.d.ts\ndeclare global {\n namespace JSX {\n  interface IntrinsicElements {\n   'use': React.SVGProps<SVGUseElement>;\n  }\n }\n}\n\nexport {};\n```\n\nMake sure that this declaration file is included in your TypeScript compilation context by either being in a directory covered by your `tsconfig.json` file or by explicitly including it in the `files` or `include` arrays of that config file.\n\nAfterwards, TypeScript will use this declaration along with its built-in JSX type definitions to type check your JSX code. If you add this to a `.d.ts` file that's already part of your project's type declaration structure, it should be picked up automatically by the TypeScript compiler."
  }
 ]
}

Codeium at 11:48 am, May 10, 2024

The error message indicates that the OpenAI API does not recognize a request argument named "messages". This is because the OpenAI API expects a "prompt" or "input" field instead of "messages" for the models like "text-davinci-002" or "gpt-3.5-turbo".

You should modify your $body to match the expected format of the OpenAI API. Assuming you're using OpenAI's "gpt-3.5-turbo" engine or another similar engine, here is how you could adjust your $body object:

# Assuming the `$content` variable contains your chat content

# The data payload for the API request
$body = @{
    model = "gpt-3.5-turbo"
    prompt = $content  # Replace 'messages' with 'prompt'
    max_tokens = 150   # Adjust as needed
    temperature = 0.7  # Adjust as needed
} | ConvertTo-Json -Depth 10

# Now, make the API request with the corrected `$body`
$response = Invoke-RestMethod -Method Post -Uri $openAiUrl -Headers $headers -Body $body

# Extract the summary from the response
$summary = $response.choices[0].text

# Output the summary to check
Write-Host $summary

Please ensure that you have replaced 'messages' with 'prompt' and have provided the chat content as a single string. The max_tokens and temperature fields are optional parameters that control the length of the response and the randomness of the language model's outputs, respectively. Adjust these values based on your needs.

If you're using a different model or a different version of the API with different expected parameters, you'll need to adjust the request body accordingly. Always refer to the API documentation for the specific model you are using to ensure that you're using the correct request format.


User at 11:51 am, May 10, 2024

If the $content contains my source text, that $body would not supply any kind of summarize directive.


Codeium at 11:51 am, May 10, 2024

You're correct; the $body I provided earlier did not include a directive to summarize the content. In the context of OpenAI's GPT-3, you would typically provide a prompt that instructs the model to summarize the content.

Here is how you could modify the $body to include an instruction to summarize the chat content:

# The instruction to summarize the chat
$instruction = "Please summarize the following chat:"
# The chat content that needs to be summarized
$chatContent = $content  # Your chat content here

# Create the full prompt including the instruction and the chat content
$fullPrompt = $instruction + "`n`n" + $chatContent

# The data payload for the API request
$body = @{
    model = "gpt-3.5-turbo"
    prompt = $fullPrompt
    max_tokens = 150   # Adjust as needed
    temperature = 0.7  # Adjust as needed
} | ConvertTo-Json -Depth 10

# Now, make the API request with the `$body` containing the summarize instruction
$response = Invoke-RestMethod -Method Post -Uri $openAiUrl -Headers $headers -Body $body

# Extract the summary from the response
$summary = $response.choices[0].text

# Output the summary to check
Write-Host $summary

In this script, $instruction is a string that tells the AI what you want to do with the content provided in $chatContent. The $fullPrompt concatenates these two strings with newlines in between, which is then passed to the API as the prompt.

Adjust max_tokens and temperature as needed to control the summary's length and style. The max_tokens parameter specifies the maximum number of tokens to generate in the completion, while the temperature parameter controls the randomness of the output (with lower values making the output more deterministic).

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