Merge branch 'master' of https://github.com/ethereum/remix-project into git4
commit
f298ba1e50
@ -1,97 +0,0 @@ |
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import {Plugin} from '@remixproject/engine' |
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import {SuggestionService, SuggestOptions} from './suggestion-service' |
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import axios, {AxiosResponse} from 'axios' |
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//@ts-ignore
|
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const _paq = (window._paq = window._paq || []) //eslint-disable-line
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|
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const profile = { |
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name: 'copilot-suggestion', |
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displayName: 'copilot-suggestion', |
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description: 'Get Solidity suggestions in editor', |
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methods: ['suggest', 'init', 'uninstall', 'status', 'isActivate', 'useRemoteService', 'discardRemoteService'], |
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version: '0.1.0-alpha', |
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maintainedBy: "Remix" |
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} |
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|
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export class CopilotSuggestion extends Plugin { |
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service: SuggestionService |
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remoteService: string |
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context: string |
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ready: boolean |
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constructor() { |
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super(profile) |
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this.service = new SuggestionService() |
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this.context = '' |
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this.service.events.on('progress', (data) => { |
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this.emit('loading', data) |
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}) |
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this.service.events.on('done', (data) => { |
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}) |
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this.service.events.on('ready', (data) => { |
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this.ready = true |
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}) |
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} |
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|
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useRemoteService(service: string) { |
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this.remoteService = service |
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} |
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discardRemoteService() { |
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this.remoteService = null |
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} |
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status () { |
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return this.ready |
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} |
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async isActivate () { |
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try { |
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return await this.call('settings', 'get', 'settings/copilot/suggest/activate') |
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} catch (e) { |
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console.error(e) |
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return false |
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} |
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} |
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|
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async suggest(content: string) { |
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if (!await this.call('settings', 'get', 'settings/copilot/suggest/activate')) return { output: [{ generated_text: ''}]} |
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|
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const max_new_tokens = await this.call('settings', 'get', 'settings/copilot/suggest/max_new_tokens') |
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const temperature = await this.call('settings', 'get', 'settings/copilot/suggest/temperature') |
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const options: SuggestOptions = { |
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do_sample: false, |
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top_k: 0, |
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temperature: temperature || 0, |
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max_new_tokens: max_new_tokens || 0 |
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} |
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|
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if (this.remoteService) { |
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const {data} = await axios.post(this.remoteService, {context: content, max_new_words: options.max_new_tokens, temperature: options.temperature}) |
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const parsedData = JSON.parse(data).trimStart() |
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return {output: [{generated_text: parsedData}]} |
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} else { |
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return this.service.suggest(this.context ? this.context + '\n\n' + content : content, options) |
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} |
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} |
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|
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async loadModeContent() { |
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let importsContent = '' |
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const imports = await this.call('codeParser', 'getImports') |
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for (const imp of imports.modules) { |
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try { |
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importsContent += '\n\n' + (await this.call('contentImport', 'resolve', imp)).content |
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} catch (e) { |
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console.log(e) |
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} |
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} |
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return importsContent |
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} |
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async init() { |
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return this.service.init() |
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} |
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|
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async uninstall() { |
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this.service.terminate() |
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} |
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} |
@ -1,100 +0,0 @@ |
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import EventEmitter from 'events' |
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export type SuggestOptions = { max_new_tokens: number, temperature: number, top_k: number, do_sample: boolean } |
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export class SuggestionService { |
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worker: Worker |
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// eslint-disable-next-line @typescript-eslint/ban-types
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responses: { [key: number]: Function } |
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events: EventEmitter |
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current: number |
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constructor() { |
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this.worker = new Worker(new URL('./worker.js', import.meta.url), { |
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type: 'module' |
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}); |
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this.events = new EventEmitter() |
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this.responses = {} |
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this.current |
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} |
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terminate(): void { |
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this.worker.terminate() |
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this.worker = new Worker(new URL('./worker.js', import.meta.url), { |
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type: 'module' |
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}); |
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} |
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async init() { |
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const onMessageReceived = (e) => { |
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switch (e.data.status) { |
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case 'initiate': |
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this.events.emit(e.data.status, e.data) |
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// Model file start load: add a new progress item to the list.
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break; |
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case 'progress': |
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this.events.emit(e.data.status, e.data) |
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// Model file progress: update one of the progress items.
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break; |
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case 'done': |
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this.events.emit(e.data.status, e.data) |
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// Model file loaded: remove the progress item from the list.
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break; |
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case 'ready': |
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this.events.emit(e.data.status, e.data) |
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// Pipeline ready: the worker is ready to accept messages.
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break; |
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case 'update': |
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this.events.emit(e.data.status, e.data) |
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// Generation update: update the output text.
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break; |
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case 'complete': |
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if (this.responses[e.data.id]) { |
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if (this.current === e.data.id) { |
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this.responses[e.data.id](null, e.data) |
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} else { |
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this.responses[e.data.id]('aborted') |
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} |
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delete this.responses[e.data.id] |
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this.current = null |
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} |
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|
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// Generation complete: re-enable the "Generate" button
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break; |
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} |
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}; |
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// Attach the callback function as an event listener.
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this.worker.addEventListener('message', onMessageReceived) |
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this.worker.postMessage({ |
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cmd: 'init', |
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model: 'Pipper/finetuned_sol' |
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}) |
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} |
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suggest (content: string, options: SuggestOptions) { |
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return new Promise((resolve, reject) => { |
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if (this.current) return reject(new Error('already running')) |
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const timespan = Date.now() |
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this.current = timespan |
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this.worker.postMessage({ |
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id: timespan, |
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cmd: 'suggest', |
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text: content, |
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max_new_tokens: options.max_new_tokens, |
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temperature: options.temperature, |
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top_k: options.top_k, |
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do_sample: options.do_sample |
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}) |
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this.responses[timespan] = (error, result) => { |
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if (error) return reject(error) |
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resolve(result) |
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} |
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}) |
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} |
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} |
@ -1,90 +0,0 @@ |
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import { pipeline, env } from '@xenova/transformers'; |
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env.allowLocalModels = true; |
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const instance = null |
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/** |
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* This class uses the Singleton pattern to ensure that only one instance of the pipeline is loaded. |
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*/ |
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class CodeCompletionPipeline { |
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static task = 'text-generation'; |
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static model = null |
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static instance = null; |
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static async getInstance(progress_callback = null) { |
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if (this.instance === null) { |
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this.instance = pipeline(this.task, this.model, { progress_callback }); |
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} |
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return this.instance; |
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} |
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} |
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// Listen for messages from the main thread
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self.addEventListener('message', async (event) => { |
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const { |
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id, model, text, max_new_tokens, cmd, |
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// Generation parameters
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temperature, |
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top_k, |
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do_sample, |
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} = event.data; |
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if (cmd === 'init') { |
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// Retrieve the code-completion pipeline. When called for the first time,
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// this will load the pipeline and save it for future use.
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CodeCompletionPipeline.model = model |
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await CodeCompletionPipeline.getInstance(x => { |
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// We also add a progress callback to the pipeline so that we can
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// track model loading.
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self.postMessage(x); |
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}); |
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return |
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} |
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if (!CodeCompletionPipeline.instance) { |
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// Send the output back to the main thread
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self.postMessage({ |
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id, |
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status: 'error', |
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message: 'model not yet loaded' |
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});
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} |
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if (cmd === 'suggest') { |
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// Retrieve the code-completion pipeline. When called for the first time,
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// this will load the pipeline and save it for future use.
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let generator = await CodeCompletionPipeline.getInstance(x => { |
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// We also add a progress callback to the pipeline so that we can
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// track model loading.
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self.postMessage(x); |
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}); |
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|
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// Actually perform the code-completion
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let output = await generator(text, { |
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max_new_tokens, |
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temperature, |
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top_k, |
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do_sample, |
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|
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// Allows for partial output
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callback_function: x => { |
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/*self.postMessage({ |
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id, |
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status: 'update', |
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output: generator.tokenizer.decode(x[0].output_token_ids, { skip_special_tokens: true }) |
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}); |
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*/ |
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} |
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}); |
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|
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// Send the output back to the main thread
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self.postMessage({ |
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id, |
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status: 'complete', |
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output: output, |
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});
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} |
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}); |
@ -0,0 +1,168 @@ |
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import { Plugin } from '@remixproject/engine' |
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export type SuggestOptions = { |
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max_new_tokens: number,
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temperature: number, |
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do_sample:boolean |
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top_k: number, |
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top_p:number,
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stream_result:boolean |
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} |
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const _paq = (window._paq = window._paq || []) |
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const profile = { |
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name: 'solcoder', |
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displayName: 'solcoder', |
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description: 'solcoder', |
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methods: ['code_generation', 'code_completion', "solidity_answer", "code_explaining"], |
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events: [], |
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maintainedBy: 'Remix', |
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} |
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|
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export class SolCoder extends Plugin { |
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api_url: string |
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completion_url: string |
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constructor() { |
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super(profile) |
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this.api_url = "https://solcoder.remixproject.org" |
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this.completion_url = "https://completion.remixproject.org" |
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} |
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|
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async code_generation(prompt): Promise<any> { |
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this.emit("aiInfering") |
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this.call('layout', 'maximizeTerminal') |
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this.call('terminal', 'log', { type: 'aitypewriterwarning', value: 'Code Generation: Waiting for Solcoder answer...'}) |
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let result |
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try { |
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result = await( |
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await fetch(this.api_url, { |
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method: 'POST', |
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headers: { |
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Accept: 'application/json', |
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'Content-Type': 'application/json', |
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}, |
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body: JSON.stringify({"data":[prompt, "code_completion", "", false,1000,0.9,0.92,50]}), |
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}) |
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).json() |
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console.log(result) |
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if ("error" in result){ |
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this.call('terminal', 'log', { type: 'aitypewriterwarning', value: result.error })
|
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return result |
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} |
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return result.data |
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} catch (e) { |
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this.call('terminal', 'log', { type: 'typewritererror', value: `Unable to get a response ${e.message}` }) |
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return |
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}finally { |
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this.emit("aiInferingDone") |
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} |
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} |
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|
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async solidity_answer(prompt): Promise<any> { |
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this.emit("aiInfering") |
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this.call('layout', 'maximizeTerminal') |
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this.call('terminal', 'log', { type: 'aitypewriterwarning', value: 'Waiting for Solcoder answer...'}) |
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let result |
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try { |
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result = await( |
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await fetch(this.api_url, { |
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method: 'POST', |
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headers: { |
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Accept: 'application/json', |
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'Content-Type': 'application/json', |
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}, |
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body: JSON.stringify({"data":[prompt, "solidity_answer", false,1000,0.9,0.8,50]}), |
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}) |
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).json() |
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} catch (e) { |
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this.call('terminal', 'log', { type: 'typewritererror', value: `Unable to get a response ${e.message}` }) |
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return |
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}finally { |
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this.emit("aiInferingDone") |
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} |
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if (result) { |
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this.call('terminal', 'log', { type: 'aitypewriterwarning', value: result.data[0]}) |
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} else if (result.error) { |
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this.call('terminal', 'log', { type: 'aitypewriterwarning', value: "Error on request" }) |
||||
} |
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|
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} |
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|
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async code_explaining(prompt): Promise<any> { |
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this.emit("aiInfering") |
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this.call('layout', 'maximizeTerminal') |
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this.call('terminal', 'log', { type: 'aitypewriterwarning', value: 'Explain Code: Waiting for Solcoder answer...'}) |
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let result |
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try { |
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result = await( |
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await fetch(this.api_url, { |
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method: 'POST', |
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headers: { |
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Accept: 'application/json', |
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'Content-Type': 'application/json', |
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}, |
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body: JSON.stringify({"data":[prompt, "code_explaining", false,2000,0.9,0.8,50]}), |
||||
}) |
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).json() |
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if (result) { |
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this.call('terminal', 'log', { type: 'aitypewriterwarning', value: result.data[0]}) |
||||
} |
||||
return result.data[0] |
||||
} catch (e) { |
||||
this.call('terminal', 'log', { type: 'typewritererror', value: `Unable to get a response ${e.message}` }) |
||||
return |
||||
}finally { |
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this.emit("aiInferingDone") |
||||
} |
||||
} |
||||
|
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async code_completion(prompt, options:SuggestOptions=null): Promise<any> { |
||||
this.emit("aiInfering") |
||||
let result |
||||
try { |
||||
result = await( |
||||
await fetch(this.completion_url, { |
||||
method: 'POST', |
||||
headers: { |
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Accept: 'application/json', |
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'Content-Type': 'application/json', |
||||
}, |
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body: JSON.stringify({"data": !options? [ |
||||
prompt, // string in 'context_code' Textbox component
|
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"code_completion", |
||||
"", // string in 'comment' Textbox component
|
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false, // boolean in 'stream_result' Checkbox component
|
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30, // number (numeric value between 0 and 2000) in 'max_new_tokens' Slider component
|
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0.9, // number (numeric value between 0.01 and 1) in 'temperature' Slider component
|
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0.90, // number (numeric value between 0 and 1) in 'top_p' Slider component
|
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50, // number (numeric value between 1 and 200) in 'top_k' Slider component
|
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] : [ |
||||
prompt, |
||||
"code_completion", |
||||
"", |
||||
options.stream_result, |
||||
options.max_new_tokens, |
||||
options.temperature, |
||||
options.top_p, |
||||
options.top_k |
||||
]}), |
||||
}) |
||||
).json() |
||||
|
||||
if ("error" in result){ |
||||
this.call('terminal', 'log', { type: 'aitypewriterwarning', value: result.error })
|
||||
return result |
||||
} |
||||
return result.data |
||||
|
||||
} catch (e) { |
||||
this.call('terminal', 'log', { type: 'aitypewriterwarning', value: `Unable to get a response ${e.message}` }) |
||||
return |
||||
} finally { |
||||
this.emit("aiInferingDone") |
||||
} |
||||
} |
||||
|
||||
|
||||
} |
@ -1,7 +1,12 @@ |
||||
{ |
||||
"remixUiTabs.tooltipText1": "Run script (CTRL + SHIFT + S)", |
||||
"remixUiTabs.tooltipText2": "Compile CTRL + S", |
||||
"remixUiTabs.tooltipText3": "Select .sol, .vy or .yul file to compile or a .ts or .js file and run it", |
||||
"remixUiTabs.tooltipText3": "Select .sol or .yul file to compile or a .ts or .js file and run it", |
||||
"remixUiTabs.tooltipText4": "Select .sol file to use AI tools [BETA]", |
||||
"remixUiTabs.tooltipText5": "Explain the contract(s) in current file [BETA]", |
||||
"remixUiTabs.tooltipText6": "Enable AI Copilot [BETA]", |
||||
"remixUiTabs.tooltipText7": "Disable AI Copilot [BETA]", |
||||
"remixUiTabs.tooltipText8": "AI Documentation [BETA]", |
||||
"remixUiTabs.zoomOut": "Zoom out", |
||||
"remixUiTabs.zoomIn": "Zoom in" |
||||
} |
||||
|
@ -0,0 +1,31 @@ |
||||
export class CompletionTimer { |
||||
private duration: number; |
||||
private timerId: NodeJS.Timeout | null = null; |
||||
private callback: () => void; |
||||
|
||||
constructor(duration: number, callback: () => void) { |
||||
this.duration = duration; |
||||
this.callback = callback; |
||||
} |
||||
|
||||
start() { |
||||
if (this.timerId) { |
||||
console.error("Timer is already running."); |
||||
return; |
||||
} |
||||
|
||||
this.timerId = setTimeout(() => { |
||||
this.callback(); |
||||
this.timerId = null; |
||||
}, this.duration); |
||||
} |
||||
|
||||
stop() { |
||||
if (this.timerId) { |
||||
clearTimeout(this.timerId); |
||||
this.timerId = null; |
||||
} else { |
||||
console.error("Timer is not running."); |
||||
} |
||||
} |
||||
} |
Loading…
Reference in new issue