Fabelous-Autocoder/src/extension.ts

// Original script was GPT4 but it has been deeply Ship of Theseused. 

import * as vscode from "vscode";
import axios from "axios";

let VSConfig: vscode.WorkspaceConfiguration;
let apiEndpoint: string;
let apiModel: string;
let apiSystemMessage: string | undefined;
let numPredict: number;
let promptWindowSize: number;
let rawInput: boolean | undefined;
let completionKeys: string;
let responsePreview: boolean | undefined;
let responsePreviewMaxTokens: number;
let responsePreviewDelay: number;
let continueInline: boolean | undefined;

function updateVSConfig() {
	VSConfig = vscode.workspace.getConfiguration("ollama-autocoder");
	apiEndpoint = VSConfig.get("endpoint") || "http://localhost:11434/api/generate";
	apiModel = VSConfig.get("model") || "openhermes2.5-mistral:7b-q4_K_M"; // The model I tested with
	apiSystemMessage = VSConfig.get("system message");
	numPredict = VSConfig.get("max tokens predicted") || 500;
	promptWindowSize = VSConfig.get("prompt window size") || 2000;
	rawInput = VSConfig.get("raw input");
	completionKeys = VSConfig.get("completion keys") || " ";
	responsePreview = VSConfig.get("response preview");
	responsePreviewMaxTokens = VSConfig.get("preview max tokens") || 10;
	responsePreviewDelay = VSConfig.get("preview delay") || 0; // Must be || 0 instead of || [default] because of truthy
	continueInline = VSConfig.get("continue inline");

	if (apiSystemMessage == "DEFAULT" || rawInput) apiSystemMessage = undefined;
}

updateVSConfig();

// No need for restart for any of these settings
vscode.workspace.onDidChangeConfiguration(updateVSConfig);

// internal function for autocomplete, not directly exposed
async function autocompleteCommand(textEditor: vscode.TextEditor, cancellationToken?: vscode.CancellationToken) {
	const document = textEditor.document;
	const position = textEditor.selection.active;

	// 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);

	// Show a progress message
	vscode.window.withProgress(
		{
			location: vscode.ProgressLocation.Notification,
			title: "Ollama Autocoder",
			cancellable: true,
		},
		async (progress, progressCancellationToken) => {
			try {
				progress.report({ message: "Starting model..." });

				let axiosCancelPost: () => void;
				const axiosCancelToken = new axios.CancelToken((c) => {
					const cancelPost = function () {
						c("Autocompletion request terminated by user cancel");
					};
					axiosCancelPost = cancelPost;
					if (cancellationToken) cancellationToken.onCancellationRequested(cancelPost);
					progressCancellationToken.onCancellationRequested(cancelPost);
					vscode.workspace.onDidCloseTextDocument(cancelPost);
				});

				// 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,
					raw: rawInput,
					options: {
						num_predict: numPredict
					}
				}, {
					cancelToken: axiosCancelToken,
					responseType: 'stream'
				}
				);

				//tracker
				let oldPosition = position;
				let currentPosition = position;
				let lastToken = "";


				response.data.on('data', async (d: Uint8Array) => {
					progress.report({ message: "Generating..." });

					// Check for user input (cancel)
					if (lastToken != "") {
						const lastInput = document.getText(new vscode.Range(oldPosition, textEditor.selection.active));
						if (lastInput !== lastToken) {
							axiosCancelPost(); // cancel axios => cancel finished promise => close notification
							return;
						}
					}

					// Get a completion from the response
					const completion: string = JSON.parse(d.toString()).response;
					lastToken = completion;

					//complete edit for token
					const edit = new vscode.WorkspaceEdit();
					const range = new vscode.Position(
						currentPosition.line,
						currentPosition.character
					);
					edit.insert(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 = new vscode.Position(
						currentPosition.line + completionLines.length - 1,
						(completionLines.length > 1 ? 0 : currentPosition.character) + completionLines[completionLines.length - 1].length
					);
					const newSelection = new vscode.Selection(
						newPosition,
						newPosition
					);
					oldPosition = currentPosition;
					currentPosition = newPosition;

					// completion bar
					progress.report({ message: "Generating...", 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);
					});
					axiosCancelToken.promise.finally(() => { // prevent notification from freezing on user input cancel
						resolve(false);
					});
				});

				await finished;

			} catch (err: any) {
				// Show an error message
				vscode.window.showErrorMessage(
					"Ollama encountered an error: " + err.message
				);
				console.log(err);
			}
		}
	);
}

// This method is called when extension is activated
function activate(context: vscode.ExtensionContext) {
	// Register a completion provider for JavaScript files
	const completionProvider = vscode.languages.registerCompletionItemProvider("*", {
		async provideCompletionItems(document, position, cancellationToken) {

			// 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:}');

			// Wait before initializing Ollama to reduce compute usage
			if (responsePreview) await new Promise(resolve => setTimeout(resolve, responsePreviewDelay * 1000));
			if (cancellationToken.isCancellationRequested) {
				return [ item ];
			}

			// Set the label & inset text to a shortened, non-stream response
			if (responsePreview) {
				let prompt = document.getText(new vscode.Range(document.lineAt(0).range.start, position));
				prompt = prompt.substring(Math.max(0, prompt.length - promptWindowSize), prompt.length);
				const response_preview = await axios.post(apiEndpoint, {
					model: apiModel, // Change this to the model you want to use
					prompt: prompt,
					stream: false,
					system: apiSystemMessage,
					raw: rawInput,
					options: {
						num_predict: responsePreviewMaxTokens, // reduced compute max
						stop: ['\n']
					}
				}, {
					cancelToken: new axios.CancelToken((c) => {
						const cancelPost = function () {
							c("Autocompletion request terminated by completion cancel");
						};
						cancellationToken.onCancellationRequested(cancelPost);
					})
				});

				if (response_preview.data.response.trim() != "") { // default if empty
					item.label = response_preview.data.response.trimStart(); // tended to add whitespace at the beginning
					item.insertText = response_preview.data.response.trimStart();
				}
			}

			// Set the documentation to a message
			item.documentation = new vscode.MarkdownString('Press `Enter` to get an autocompletion from Ollama');
			// Set the command to trigger the completion
			if (continueInline || !responsePreview) item.command = {
				command: 'ollama-autocoder.autocomplete',
				title: 'Autocomplete with Ollama',
				arguments: [cancellationToken]
			};
			// Return the completion item
			return [item];
		},
	},
		...completionKeys.split("")
	);

	// Register a command for getting a completion from Ollama through command/keybind
	const externalAutocompleteCommand = vscode.commands.registerTextEditorCommand(
		"ollama-autocoder.autocomplete",
		(textEditor, _, cancellationToken?) => {
			// no cancellation token from here, but there is one from completionProvider
			autocompleteCommand(textEditor, cancellationToken);
		}
	);

	// Add the commands & completion provider to the context
	context.subscriptions.push(completionProvider);
	context.subscriptions.push(externalAutocompleteCommand);

}

// This method is called when extension is deactivated
function deactivate() { }

module.exports = {
	activate,
	deactivate,
};