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fix(redundant-code): Fixing redundant code

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Iheuzio 2023-06-23 14:43:58 -04:00
parent 572b4a39f7
commit b756de10e4
1 changed files with 74 additions and 74 deletions
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148
extension.js
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@ -261,82 +261,82 @@ function activate(context) {
context.subscriptions.push(refreshFilesCommand);
vscode.window.registerTreeDataProvider('selectedFiles', fileDataProvider);
const provider = {
resolveWebviewView(webviewView) {
webviewView.webview.options = {
enableScripts: true
};
webviewView.webview.html = getWebviewContent();
webviewView.webview.onDidReceiveMessage(async message => {
if (message.command === 'submitQuestion') {
const question = message.text;
const selectedUris = message.selectedUris;
// Update the selectedFiles array based on the selectedUris
selectedFiles.forEach(file => {
file.selected = selectedUris.includes(file.uri.fsPath);
});
const provider = {
resolveWebviewView(webviewView) {
webviewView.webview.options = {
enableScripts: true
};
webviewView.webview.html = getWebviewContent();
webviewView.webview.onDidReceiveMessage(async message => {
if (message.command === 'toggleFileSelection') {
const uri = message.uri;
const file = selectedFiles.find(file => file.uri.fsPath === uri);
if (file) {
file.toggleSelected();
fileDataProvider.refresh();
const fileContents = selectedFiles
.filter(file => file.selected)
.map(file => {
const document = vscode.workspace.textDocuments.find(doc => doc.uri.fsPath === file.uri.fsPath);
if (document) {
const lines = document.getText().split('\n');
const formattedLines = lines.map(line => `\t${line}`).join('\n');
return `${file.uri.fsPath}:\n\`\`\`\n${formattedLines}\n\`\`\``;
}
return '';
})
.join('\n\n');
// Call OpenAI API with the question and file contents
try {
const chatCompletion = await openai.createChatCompletion({
model: "gpt-3.5-turbo-16k",
messages: [
{ role: "system", content: "Answer the coding questions, only provide the code and documentation, explaining the solution after providing the code." },
{ role: "user", content: question },
{ role: "assistant", content: fileContents }
],
});
// Extract the answer from the OpenAI response
const answer = chatCompletion.data.choices[0].message.content;
// Update the webview content to display only the OpenAI response
webviewView.webview.html = getWebviewContent(answer, question);
} catch (error) {
// Handle any errors from the OpenAI API
console.error("Failed to get OpenAI response:", error);
webviewView.webview.html = getWebviewContent(`Failed to get response from OpenAI API. Error: ${error.message}`, question);
}
} else if (message.command === 'toggleFileSelection') {
const uri = message.uri;
const file = selectedFiles.find(file => file.uri.fsPath === uri);
if (file) {
file.toggleSelected();
fileDataProvider.refresh();
}
} else if (message.command === 'clearSelectedFiles') {
const clearedFiles = selectedFiles.filter(file => file.selected === false);
selectedFiles.length = 0; // Clear the array
clearedFiles.forEach(file => {
fileDataProvider.refresh();
});
webviewView.webview.html = getWebviewContent();
} else if (message.command === 'refreshFiles') {
fileDataProvider.refresh();
webviewView.webview.html = getWebviewContent();
}
});
}
};
context.subscriptions.push(vscode.window.registerWebviewViewProvider('gpt-context-sidebar', provider));
} else if (message.command === 'clearSelectedFiles') {
const clearedFiles = selectedFiles.filter(file => file.selected === false);
selectedFiles.length = 0; // Clear the array
clearedFiles.forEach(file => {
fileDataProvider.refresh();
});
webviewView.webview.html = getWebviewContent();
} else if (message.command === 'refreshFiles') {
fileDataProvider.refresh();
webviewView.webview.html = getWebviewContent();
} else if (message.command === 'submitQuestion') {
const question = message.text;
const selectedUris = message.selectedUris;
// Update the selectedFiles array based on the selectedUris
selectedFiles.forEach(file => {
file.selected = selectedUris.includes(file.uri.fsPath);
});
fileDataProvider.refresh();
const fileContents = selectedFiles
.filter(file => file.selected)
.map(file => {
const document = vscode.workspace.textDocuments.find(doc => doc.uri.fsPath === file.uri.fsPath);
if (document) {
const lines = document.getText().split('\n');
const formattedLines = lines.map(line => `\t${line}`).join('\n');
return `${file.uri.fsPath}:\n\`\`\`\n${formattedLines}\n\`\`\``;
}
return '';
})
.join('\n\n');
// Call OpenAI API with the question and file contents
try {
const chatCompletion = await openai.createChatCompletion({
model: "gpt-3.5-turbo-16k",
messages: [
{ role: "system", content: "Answer the coding questions, only provide the code and documentation, explaining the solution after providing the code." },
{ role: "user", content: question },
{ role: "assistant", content: fileContents }
],
});
// Extract the answer from the OpenAI response
const answer = chatCompletion.data.choices[0].message.content;
// Update the webview content to display only the OpenAI response
webviewView.webview.html = getWebviewContent(answer, question);
} catch (error) {
// Handle any errors from the OpenAI API
console.error("Failed to get OpenAI response:", error);
webviewView.webview.html = getWebviewContent(`Failed to get response from OpenAI API. Error: ${error.message}`, question);
}
}
});
}
};
context.subscriptions.push(vscode.window.registerWebviewViewProvider('gpt-context-sidebar', provider));
}