Fabelous-Autocoder/src/extension.ts

152 lines
5.2 KiB
TypeScript

// Significant help from GPT4
import * as vscode from "vscode";
import axios, { AxiosResponse } from "axios";
const VSConfig = vscode.workspace.getConfiguration("ollama-coder");
const apiEndpoint: string = VSConfig.get("apiEndpoint") || "http://localhost:11434/api/generate";
const apiModel: string = VSConfig.get("model") || "deepseek-coder";
let apiSystemMessage: string | undefined = VSConfig.get("system-message");
if (apiSystemMessage == "DEFAULT") apiSystemMessage = undefined;
const numPredict: number = VSConfig.get("max-tokens-predicted") || 500;
const promptWindowSize: number = VSConfig.get("prompt-window-size") || 2000;
// This method is called when your extension is activated
function activate(context: vscode.ExtensionContext) {
// Register a completion provider for JavaScript files
const provider = vscode.languages.registerCompletionItemProvider("*", {
async provideCompletionItems(document, position, cancellationToken) {
// Get the current prompt
let prompt = document.getText(new vscode.Range(document.lineAt(0).range.start, position));
prompt = prompt.substring(Math.max(0, prompt.length - promptWindowSize), prompt.length);
// Check if the prompt is not empty and ends with a dot
if (prompt) {
// Create a completion item
const item = new vscode.CompletionItem("Autocomplete with Ollama");
// Set the insert text to a placeholder
item.insertText = new vscode.SnippetString('${1:}');
// Set the documentation to a message
item.documentation = new vscode.MarkdownString('Press `Enter` to get a completion from Ollama');
// Set the command to trigger the completion
item.command = {
command: 'ollama-coder.autocomplete',
title: 'Ollama',
arguments: [document, position, prompt, cancellationToken]
};
// Return the completion item
return [item];
}
},
},
"\n", " "
);
// Add the completion provider to the context
context.subscriptions.push(provider);
// Register a command for getting a completion from Ollama
const disposable = vscode.commands.registerCommand(
"ollama-coder.autocomplete",
async function (document: vscode.TextDocument, position: vscode.Position, prompt: string, cancellationToken: vscode.CancellationToken) {
// Show a progress message
vscode.window.withProgress(
{
location: vscode.ProgressLocation.Notification,
title: "Getting a completion from Ollama...",
cancellable: true,
},
async (progress, progressCancellationToken) => {
try {
// Make a request to the ollama.ai REST API
const response = await axios.post(apiEndpoint, {
model: apiModel, // Change this to the model you want to use
prompt: prompt,
stream: true,
system: apiSystemMessage,
options: {
num_predict: numPredict
},
}, {
cancelToken: new axios.CancelToken((c) => {
const cancelPost = function () {
c("Autocompletion request terminated");
};
cancellationToken.onCancellationRequested(cancelPost);
progressCancellationToken.onCancellationRequested(cancelPost);
vscode.workspace.onDidCloseTextDocument(cancelPost);
}),
responseType: 'stream'
}
);
//tracker
let currentPosition = position;
response.data.on('data', async (d: Uint8Array) => {
// Get a completion from the response
const completion: string = JSON.parse(d.toString()).response;
//complete edit for token
const edit = new vscode.WorkspaceEdit();
const range = new vscode.Range(
currentPosition.line,
currentPosition.character,
currentPosition.line,
currentPosition.character
);
edit.replace(document.uri, range, completion);
await vscode.workspace.applyEdit(edit);
// Move the cursor to the end of the completion
const completionLines = completion.split("\n");
const newPosition = position.with(
currentPosition.line + completionLines.length,
(completionLines.length > 0 ? 0 : currentPosition.character) + completionLines[completionLines.length - 1].length
);
const newSelection = new vscode.Selection(
newPosition,
newPosition
);
currentPosition = newPosition;
// completion bar
progress.report({ increment: 1 / (numPredict/100) });
// move cursor
const editor = vscode.window.activeTextEditor;
if (editor) editor.selection = newSelection;
});
// Keep cancel window available
const finished = new Promise((resolve) => {
response.data.on('end', () => {
progress.report({ message: "Ollama completion finished." });
resolve(true);
});
});
await finished;
} catch (err: any) {
// Show an error message
vscode.window.showErrorMessage(
"Ollama encountered an error: " + err.message
);
}
}
);
}
);
// Add the command to the context
context.subscriptions.push(disposable);
}
// This method is called when your extension is deactivated
function deactivate() { }
module.exports = {
activate,
deactivate,
};