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60import { stripHtml } from 'string-strip-html';
import { openai } from '#src/utils';
export const help = async ({ request, reply }) => {
const { reportId, messageId, dequeURL, message: accessibilityIssueToFix, codeSnippet: originalCodeSnippet, sourceUrl, status } = request.body;
const accessibilityDocumentation = stripHtml(await (await fetch(dequeURL)).text()).result;
const originalCode = await (await fetch(sourceUrl)).text();
const openaiRawResponse = await openai.chat.completions.create({
model: 'gpt-4-turbo-preview',
tool_choice: { type: 'function', function: { name: 'suggested_fix' } },
tools: [{
type: 'function',
function: {
name: 'suggested_fix',
description: 'Suggest an accessibility fix for the given code snippet and accessibility rule',
parameters: {
type: 'object',
description: 'A suggested fix',
properties: {
suggested_replacement_code: {
type: 'string',
description: 'The suggested replacement code',
},
how_to_implement: {
type: 'string',
description: 'How to implement the suggested code',
},
diff_view: {
type: 'string',
description: 'A diff view of the old and new code with character and line positions listed on the left',
},
},
required: ['suggested_code', 'how_to_implement', 'diff_view'],
},
}
}],
messages: [
{ role: 'system', content: `You are an LLM bot running for Equalify, a platform designed to identify accessibility issues for developers to fix.` },
{
role: 'user', content: `Suggest replacement code to fix the accessibility issue identified by Equalify. You may use the accessibility documentation to assist in your resolution:
\`\`\`json
${JSON.stringify({
originalCode,
originalCodeSnippet,
accessibilityIssueToFix,
accessibilityDocumentation,
})}
\`\`\`
`},
]
});
const suggestedFix = JSON.parse(openaiRawResponse.choices?.[0]?.message?.tool_calls?.[0]?.function?.arguments ?? '{}');
return {
...suggestedFix,
originalCode,
};
}