Add a gpt linter

[eonist]

Certainly! Here's a bash script that calls the OpenAI API to check if a Swift file adheres to the rules specified in a .swiftlint.yml file:

#!/bin/bash

# Check if required arguments are provided
if [ $# -ne 3 ]; then
    echo "Usage: $0   "
    exit 1
fi

API_KEY=$1
SWIFT_FILE=$2
SWIFTLINT_FILE=$3

# Read the contents of the Swift file and SwiftLint configuration
SWIFT_CONTENT=$(cat "$SWIFT_FILE")
SWIFTLINT_CONTENT=$(cat "$SWIFTLINT_FILE")

# Prepare the API request payload
PAYLOAD=$(cat <<EOF
{
    "model": "gpt-4",
    "messages": [
        {
            "role": "system",
            "content": "You are a SwiftLint expert. Analyze the provided Swift code and ensure it adheres to the rules specified in the SwiftLint configuration."
        },
        {
            "role": "user",
            "content": "Here's the Swift code:\n\n$SWIFT_CONTENT\n\nAnd here's the SwiftLint configuration:\n\n$SWIFTLINT_CONTENT\n\nPlease analyze the code and provide a list of any violations or suggestions for improvement based on the SwiftLint rules."
        }
    ]
}
EOF
)

# Make the API request
RESPONSE=$(curl -s -X POST "https://api.openai.com/v1/chat/completions" \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer $API_KEY" \
    -d "$PAYLOAD")

# Extract and print the API response
echo "SwiftLint Analysis:"
echo "$RESPONSE" | jq -r '.choices[0].message.content'

This script does the following:

1. It takes three command-line arguments: the OpenAI API key, the path to the Swift file, and the path to the .swiftlint.yml file[1].

2. It reads the contents of both the Swift file and the SwiftLint configuration file[1].

3. It prepares a payload for the OpenAI API request, including the Swift code and SwiftLint configuration[4][7].

4. It sends a POST request to the OpenAI API using curl, asking the model to analyze the code based on the SwiftLint rules[4][7].

5. Finally, it extracts and prints the analysis results from the API response[4].

To use this script:

1. Save it as a file, e.g., swiftlint_checker.sh.
2. Make it executable: chmod +x swiftlint_checker.sh.
3. Run it with your API key and file paths:

   ./swiftlint_checker.sh YOUR_API_KEY path/to/your/swift_file.swift path/to/your/.swiftlint.yml
   

This script provides a way to leverage OpenAI's language model to perform SwiftLint-like analysis on your Swift code. However, please note that this is not a replacement for the actual SwiftLint tool, as the AI model's understanding might not be as precise or up-to-date as the official SwiftLint rules[3][5].

For production use, it's recommended to use the official SwiftLint tool, which can be integrated directly into your Xcode project or CI/CD pipeline for more accurate and consistent results[5][8].

Citations:
[1] https://github.com/PBJI/openai-api-client-bash/
[2] https://www.delasign.com/blog/swiftlint-enabled-swift-xcode-project/
[3] https://stackoverflow.com/questions/43109593/how-do-i-create-swiftlint-yml-file-where-i-need-to-put-it/47574404
[4] https://pipedream.com/apps/openai/integrations/bash
[5] https://stackoverflow.com/questions/57461737/how-to-integrate-swiftlint-with-an-ios-app-using-swift-package-manager
[6] realm/SwiftLint#2673
[7] https://pipedream.com/apps/bash/integrations/openai
[8] https://canopas.com/swiftlint-integration-in-xcode-and-gitlab-ci-1ae9ef6e5d85
[9] https://platform.openai.com/docs/quickstart
[10] https://community.openai.com/t/best-way-to-create-shell-scripting-app/10613

[eonist]

We could maybe instead add swift-guides. The ones from linkedin Airbnb etc. and if things deviate. We could make a PR. With suggested fixes. And let reviewer cherry pick etc? there is also some really good AI linter projects out there that can be used as inspo for this one