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-6078,6 +8262,19 @@ "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==", "dev": true }, + "node_modules/uuid": { + "version": "9.0.1", + "resolved": "https://registry.npmjs.org/uuid/-/uuid-9.0.1.tgz", + "integrity": "sha512-b+1eJOlsR9K8HJpow9Ok3fiWOWSIcIzXodvv0rQjVoOVNpWMpxf1wZNpt4y9h10odCNrqnYp1OBzRktckBe3sA==", + "funding": [ + "https://github.com/sponsors/broofa", + "https://github.com/sponsors/ctavan" + ], + "license": "MIT", + "bin": { + "uuid": "dist/bin/uuid" + } + }, "node_modules/v8-compile-cache-lib": { "version": "3.0.1", "resolved": "https://registry.npmjs.org/v8-compile-cache-lib/-/v8-compile-cache-lib-3.0.1.tgz", @@ -6176,6 +8373,21 @@ "node": ">=10.13.0" } }, + "node_modules/web-streams-polyfill": { + "version": "4.0.0-beta.3", + "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-4.0.0-beta.3.tgz", + "integrity": "sha512-QW95TCTaHmsYfHDybGMwO5IJIM93I/6vTRk+daHTWFPhwh+C8Cg7j7XyKrwrj8Ib6vYXe0ocYNrmzY4xAAN6ug==", + "license": "MIT", + "engines": { + "node": ">= 14" + } + }, + "node_modules/webidl-conversions": { + "version": "3.0.1", + "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz", + "integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ==", + "license": "BSD-2-Clause" + }, "node_modules/webpack": { "version": "5.94.0", "resolved": "https://registry.npmjs.org/webpack/-/webpack-5.94.0.tgz", @@ -6321,6 +8533,16 @@ "node": ">=4.0" } }, + "node_modules/whatwg-url": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz", + "integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==", + "license": "MIT", + "dependencies": { + "tr46": "~0.0.3", + "webidl-conversions": "^3.0.0" + } + }, "node_modules/which": { "version": "2.0.2", "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz", @@ -6634,6 +8856,17 @@ "funding": { "url": "https://github.com/sponsors/sindresorhus" } + }, + "node_modules/zod": { + "version": "3.23.8", + "resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz", + "integrity": "sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==", + "license": "MIT", + "optional": true, + "peer": true, + "funding": { + "url": "https://github.com/sponsors/colinhacks" + } } } } diff --git a/package.json b/package.json index 31992e82..ac3ac730 100644 --- a/package.json +++ b/package.json @@ -63,83 +63,105 @@ "watch-tests": "tsc -p . -w --outDir out" }, "contributes": { - "configuration": { - "title": "ZenML", - "properties": { - "zenml-python.args": { - "default": [], - "description": "Arguments passed in. Each argument is a separate item in the array.", - "items": { - "type": "string" + "configuration": [ + { + "title": "ZenML", + "properties": { + "zenml-python.args": { + "default": [], + "description": "Arguments passed in. Each argument is a separate item in the array.", + "items": { + "type": "string" + }, + "scope": "resource", + "type": "array" }, - "scope": "resource", - "type": "array" - }, - "zenml-python.path": { - "default": [], - "scope": "resource", - "items": { + "zenml-python.path": { + "default": [], + "scope": "resource", + "items": { + "type": "string" + }, + "type": "array" + }, + "zenml-python.importStrategy": { + "default": "useBundled", + "enum": [ + "useBundled", + "fromEnvironment" + ], + "enumDescriptions": [ + "Always use the bundled version of ``.", + "Use `` from environment, fallback to bundled version only if `` not available in the environment." + ], + "scope": "window", "type": "string" }, - "type": "array" - }, - "zenml-python.importStrategy": { - "default": "useBundled", - "enum": [ - "useBundled", - "fromEnvironment" - ], - "enumDescriptions": [ - "Always use the bundled version of ``.", - "Use `` from environment, fallback to bundled version only if `` not available in the environment." - ], - "scope": "window", - "type": "string" - }, - "zenml-python.interpreter": { - "default": [], - "description": "When set to a path to python executable, extension will use that to launch the server and any subprocess.", - "scope": "resource", - "items": { + "zenml-python.interpreter": { + "default": [], + "description": "When set to a path to python executable, extension will use that to launch the server and any subprocess.", + "scope": "resource", + "items": { + "type": "string" + }, + "type": "array" + }, + "zenml-python.showNotifications": { + "default": "off", + "description": "Controls when notifications are shown by this extension.", + "enum": [ + "off", + "onError", + "onWarning", + "always" + ], + "enumDescriptions": [ + "All notifications are turned off, any errors or warning are still available in the logs.", + "Notifications are shown only in the case of an error.", + "Notifications are shown for errors and warnings.", + "Notifications are show for anything that the server chooses to show." + ], + "scope": "machine", "type": "string" }, - "type": "array" - }, - "zenml-python.showNotifications": { - "default": "off", - "description": "Controls when notifications are shown by this extension.", - "enum": [ - "off", - "onError", - "onWarning", - "always" - ], - "enumDescriptions": [ - "All notifications are turned off, any errors or warning are still available in the logs.", - "Notifications are shown only in the case of an error.", - "Notifications are shown for errors and warnings.", - "Notifications are show for anything that the server chooses to show." - ], - "scope": "machine", - "type": "string" - }, - "zenml.serverUrl": { - "type": "string", - "default": "", - "description": "ZenML Server URL" - }, - "zenml.accessToken": { - "type": "string", - "default": "", - "description": "Access token for the ZenML server" - }, - "zenml.activeStackId": { - "type": "string", - "default": "", - "description": "Active stack id for the ZenML server" + "zenml.serverUrl": { + "type": "string", + "default": "", + "description": "ZenML Server URL" + }, + "zenml.accessToken": { + "type": "string", + "default": "", + "description": "Access token for the ZenML server" + }, + "zenml.activeStackId": { + "type": "string", + "default": "", + "description": "Active stack id for the ZenML server" + } + } + }, + { + "title": "ZenML AI", + "properties": { + "zenml.llm-model": { + "enum": [ + "anthropic.claude-3-5-sonnet-20240620", + "anthropic.claude-3-opus-20240229", + "anthropic.claude-3-haiku-20240307", + "gemini.gemini-1.5-pro", + "gemini.gemini-1.5-flash", + "gemini.gemini-1.0-pro", + "openai.gpt-4o", + "openai.gpt-4", + "openai.gpt-4o-mini", + "openai.gpt-4-turbo", + "openai.gpt-3.5-turbo" + ] + } } } - }, + ], "commands": [ { "command": "zenml.promptForInterpreter", @@ -297,6 +319,29 @@ "title": "Restart LSP Server", "icon": "$(debug-restart)", "category": "ZenML Environment" + }, + { + "command": "zenml.registerLLMAPIKey", + "title": "Register LLM API Key", + "icon": "$(add)", + "category": "ZenML Secrets" + }, + { + "command": "zenml.sendOpenAIMessage", + "title": "Send OpenAI API Message", + "category": "ZenML GenAI" + }, + { + "command": "zenml.displayNextCodeRecommendation", + "title": "Next Recommendation", + "category": "ZenML GenAI", + "when": "resourceFilename in zenml.multipleAiCodeRecommendations && resourceScheme == zenml-stepfixer" + }, + { + "command": "zenml.acceptCodeRecommendation", + "title": "Accept Change", + "category": "ZenML GenAI", + "when": "resourceFilename in zenml.aiCodeRecommendations && resourceScheme == zenml-stepfixer" } ], "viewsContainers": { @@ -469,6 +514,18 @@ "command": "zenml.setPythonInterpreter", "group": "inline" } + ], + "editor/title": [ + { + "command": "zenml.displayNextCodeRecommendation", + "group": "navigation", + "when": "resourceFilename in zenml.multipleAiCodeRecommendations && resourceScheme == zenml-stepfixer" + }, + { + "command": "zenml.acceptCodeRecommendation", + "group": "navigation", + "when": "resourceFilename in zenml.aiCodeRecommendations && resourceScheme == zenml-stepfixer" + } ] } }, @@ -493,7 +550,7 @@ "sinon": "^17.0.1", "ts-loader": "^9.5.1", "ts-node": "^10.9.2", - "typescript": "^5.3.3", + "typescript": "^5.6.2", "webpack": "^5.94.0", "webpack-cli": "^5.1.4" }, @@ -504,8 +561,10 @@ "dagre": "^0.8.5", "fs-extra": "^11.2.0", "hbs": "^4.2.0", + "simple-git": "^3.26.0", "svg-pan-zoom": "github:bumbu/svg-pan-zoom", "svgdom": "^0.1.19", + "token.js": "^0.4.4", "vscode-languageclient": "^9.0.1" } } diff --git a/resources/dag-view/dag.css b/resources/dag-view/dag.css index 25b6ce6d..2dae10d5 100644 --- a/resources/dag-view/dag.css +++ b/resources/dag-view/dag.css @@ -155,3 +155,36 @@ g.svg-pan-zoom-control { width: 100%; height: 100%; } + +#context-menu { + position: absolute; + background: white; + box-shadow: 0 4px 5px 3px rgba(0, 0, 0, 0.2); + border-radius: 5px; +} + +#context-menu ul { + list-style: none; + padding: 0px; +} + +#context-menu li { + font-weight: 500; + font-size: 14px; + padding: 10px 40px 10px 20px; + cursor: pointer; +} + +#context-menu li:hover { + color: #333; + background: #e0e0e0; +} + +#loading-ai { + display: none; +} + +.context-menu-subitem-indicator { + font-size: 0.7rem; + vertical-align: text-top; +} diff --git a/resources/dag-view/dag.js b/resources/dag-view/dag.js index 08253921..eeadb76d 100644 --- a/resources/dag-view/dag.js +++ b/resources/dag-view/dag.js @@ -14,6 +14,9 @@ import svgPanZoom from 'svg-pan-zoom'; (() => { const dag = document.querySelector('#dag'); + let contextMenu = null; + let currentLLM = 'none'; + let LLMFetched = null; const panZoom = svgPanZoom(dag); panZoom.enableControlIcons(); panZoom.setMaxZoom(40); @@ -33,6 +36,12 @@ import svgPanZoom from 'svg-pan-zoom'; const edges = [...document.querySelectorAll('polyline')]; + function fetchingLLM() { + return new Promise(resolve => { + LLMFetched = () => resolve(true); + }); + } + dag.addEventListener('mouseover', evt => { let target = evt.target; const parent = evt.target.closest('.node'); @@ -52,6 +61,8 @@ import svgPanZoom from 'svg-pan-zoom'; }); dag.addEventListener('click', evt => { + closeContextMenu(); + const stepId = evt.target.closest('[data-stepid]')?.dataset.stepid; const artifactId = evt.target.closest('[data-artifactid]')?.dataset.artifactid; @@ -83,6 +94,103 @@ import svgPanZoom from 'svg-pan-zoom'; } }); + dag.addEventListener('contextmenu', async evt => { + closeContextMenu(); + evt.preventDefault(); + + const step = evt.target.closest('[data-stepid]'); + const artifact = evt.target.closest('[data-artifactid]'); + + if (!step && !artifact) { + return; + } + + if (step?.querySelector('svg.failed')) { + vscode.postMessage({ command: `getLLM`, id: '' }); + await fetchingLLM(); + } + + openContextMenu( + `
+
    +
  • Inspect
    • +
  • Open Dashboard URL
    • + ${ + step?.querySelector('svg.failed') + ? `
  • Suggest Fix
    • +
  • + ∟ + Choose AI Model (current: ${currentLLM}) +
    • ` + : '' + } +
+
`, + evt.pageX, + evt.pageY, + step || artifact + ); + }); + + window.addEventListener('message', evt => { + if (evt.data.command === 'closeContextMenu') closeContextMenu(); + if (evt.data.command === 'getLLM') { + currentLLM = evt.data.data; + LLMFetched(); + } + }); + + function openContextMenu(html, x, y, target) { + const tempDiv = document.createElement('div'); + tempDiv.innerHTML = html.trim(); + contextMenu = tempDiv.firstChild; + + addEventListenersToContextMenu(contextMenu, target); + document.body.insertBefore(contextMenu, document.body.firstChild); + + const style = getComputedStyle(contextMenu); + const menuHeight = parseInt(style.height.match(/\d+/)[0], 10); + const menuWidth = parseInt(style.width.match(/\d+/)[0], 10); + + contextMenu.style.top = + menuHeight + y <= document.documentElement.clientHeight ? `${y}px` : `${y - menuHeight}px`; + + contextMenu.style.left = + menuWidth + x <= document.documentElement.clientWidth ? `${x}px` : `${x - menuWidth}px`; + } + + function closeContextMenu() { + contextMenu?.remove(); + contextMenu = null; + } + + function addEventListenersToContextMenu(contextMenu, target) { + const stepId = target.closest('[data-stepid]')?.dataset.stepid; + const artifactId = target.closest('[data-artifactid]')?.dataset.artifactid; + const command = stepId ? 'step' : 'artifact'; + + contextMenu.querySelector('#inspect')?.addEventListener('click', () => { + vscode.postMessage({ command, id: stepId || artifactId }); + }); + contextMenu.querySelector('#open-dashboard-url')?.addEventListener('click', () => { + vscode.postMessage({ command: `${command}Url`, id: stepId || artifactId }); + }); + contextMenu.querySelector('#suggest-fix')?.addEventListener('click', () => { + if (contextMenu.querySelector('#suggest-fix').textContent === 'Loading...') { + return; + } + + contextMenu.querySelector('#suggest-fix').textContent = 'Loading...'; + vscode.postMessage({ command: `stepFix`, id: stepId || artifactId }); + }); + contextMenu.querySelector('#select-model')?.addEventListener('click', () => { + vscode.postMessage({ command: `selectLLM`, id: stepId || artifactId }); + }); + contextMenu.addEventListener('click', evt => { + if (evt.target.id !== 'suggest-fix') closeContextMenu(); + }); + } + const nodes = [...document.querySelectorAll('.node > div')]; nodes.forEach(node => { diff --git a/resources/dag-view/icons/1487.gif:Zone.Identifier b/resources/dag-view/icons/1487.gif:Zone.Identifier new file mode 100644 index 00000000..d37e9c3b --- /dev/null +++ b/resources/dag-view/icons/1487.gif:Zone.Identifier @@ -0,0 +1,4 @@ +[ZoneTransfer] +ZoneId=3 +ReferrerUrl=https://icons8.com/preloaders/ +HostUrl=https://icons8.com/preloaders/generator.php?image=1487&speed=9&fore_color=000000&back_color=FFFFFF&size=64x64&transparency=0&reverse=0&orig_colors=0&gray_transp=0&image_type=1&inverse=0&flip=0&frames_amount=28&word=237-261-157-41-266-237-41-257-237-266-57-41-227-41-36-36-36&download diff --git a/src/commands/ai/cmds.ts b/src/commands/ai/cmds.ts new file mode 100644 index 00000000..98435412 --- /dev/null +++ b/src/commands/ai/cmds.ts @@ -0,0 +1,53 @@ +// Copyright(c) ZenML GmbH 2024. All Rights Reserved. +// Licensed under the Apache License, Version 2.0(the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at: +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express +// or implied.See the License for the specific language governing +// permissions and limitations under the License. + +import { SaveAIChangeEmitter } from '../pipelines/StepFixerFs'; + +import * as vscode from 'vscode'; +import AIStepFixer from '../pipelines/AIStepFixer'; + +const displayNextCodeRecommendation = () => { + let uri = vscode.window.activeTextEditor?.document.uri; + if (!uri) { + vscode.window.showInformationMessage('No active text editor found.'); + return; + } + + try { + const stepFixer = AIStepFixer.getInstance(); + stepFixer.updateCodeRecommendation(uri); + } catch (e) { + const error = e as Error; + vscode.window.showErrorMessage(`Failed to update code recommendation: ${error.message}`); + } +}; + +const acceptCodeRecommendation = () => { + const doc = vscode.window.activeTextEditor?.document; + if (!doc) { + vscode.window.showInformationMessage('No active text editor found.'); + return; + } + + try { + SaveAIChangeEmitter.fire(doc); + } catch (e) { + const error = e as Error; + vscode.window.showErrorMessage(`Failed to accept AI code recommendation: ${error.message}`); + } +}; + +export const aiCommands = { + displayNextCodeRecommendation, + acceptCodeRecommendation, +}; diff --git a/src/commands/ai/registry.ts b/src/commands/ai/registry.ts new file mode 100644 index 00000000..b43c5298 --- /dev/null +++ b/src/commands/ai/registry.ts @@ -0,0 +1,46 @@ +// Copyright(c) ZenML GmbH 2024. All Rights Reserved. +// Licensed under the Apache License, Version 2.0(the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at: +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express +// or implied.See the License for the specific language governing +// permissions and limitations under the License. + +// TODO the registration of secrets commands should go in here, which is then imported into the ZenExtension file +// In registry, the "register command thing is passed context (i.e. context.secrets) as an arg" + +import { aiCommands } from './cmds'; +import { registerCommand } from '../../common/vscodeapi'; +import { ZenExtension } from '../../services/ZenExtension'; +import { ExtensionContext, commands } from 'vscode'; + +/** + * Registers GenAI related commands for the extension. + * + * @param {ExtensionContext} context - The context in which the extension operates, used for registering commands and managing their lifecycle. + */ +export const registerAICommands = (context: ExtensionContext) => { + try { + const registeredCommands = [ + registerCommand('zenml.displayNextCodeRecommendation', () => + aiCommands.displayNextCodeRecommendation() + ), + registerCommand('zenml.acceptCodeRecommendation', () => + aiCommands.acceptCodeRecommendation() + ), + ]; + + registeredCommands.forEach(cmd => { + context.subscriptions.push(cmd); + ZenExtension.commandDisposables.push(cmd); + }); + } catch (error) { + console.error('Error registering AI commands:', error); + commands.executeCommand('setContext', 'AICommandsRegistered', false); + } +}; diff --git a/src/commands/pipelines/AIStepFixer.ts b/src/commands/pipelines/AIStepFixer.ts new file mode 100644 index 00000000..094cbea8 --- /dev/null +++ b/src/commands/pipelines/AIStepFixer.ts @@ -0,0 +1,398 @@ +import * as vscode from 'vscode'; +import { searchGitCacheByFileContent, searchWorkspaceByFileContent } from '../../common/utilities'; +import fs from 'fs/promises'; +import { LSClient } from '../../services/LSClient'; +import Panels from '../../common/panels'; +import { AIService } from '../../services/aiService'; +import { PipelineTreeItem } from '../../views/activityBar'; +import { JsonObject } from '../../views/panel/panelView/PanelTreeItem'; +import * as path from 'path'; +import WebviewBase from '../../common/WebviewBase'; +import MultiStepInput, { InputStep } from './MultiStepInput'; +import StepFixerFs, { SaveAIChangeEmitter } from './StepFixerFs'; +import { SupportedLLMModels, SupportedLLMProviders } from '../../services/aiService'; +import { randomUUID } from 'crypto'; + +export default class AIStepFixer extends WebviewBase { + private static instance: AIStepFixer; + private stepFs: StepFixerFs; + + private constructor() { + super(); + + if (WebviewBase.context === null) { + throw new Error('Extension Context Not Propagated'); + } + this.stepFs = new StepFixerFs(); + + vscode.workspace.registerFileSystemProvider('zenml-stepfixer', this.stepFs, { + isCaseSensitive: true, + }); + + vscode.window.tabGroups.onDidChangeTabs(evt => { + const input = evt.closed[0]?.input; + if (typeof input !== 'object' || input === null || !('modified' in input)) { + return; + } + const uri = input.modified; + if (typeof uri !== 'object' || uri === null || !('path' in uri)) { + return; + } + const recIndex = this.codeRecommendations.findIndex( + ele => ele.recUri?.toString() === uri.toString() + ); + if (recIndex === -1) { + return; + } + + setTimeout(() => { + const tabs = vscode.window.tabGroups.all.flatMap(group => group.tabs); + const uris = tabs.filter(tab => 'uri' in tab).map(tab => tab.uri as vscode.Uri); + if (uris.some(tabUri => tabUri.toString() === uri.toString())) { + return; + } + + this.codeRecommendations.splice(recIndex, 1); + this.updateRecommendationsContext(); + }, 1000); + }); + + vscode.workspace.onWillSaveTextDocument(async e => { + const rec = this.codeRecommendations.find( + ele => e.document.fileName === `/${path.posix.basename(ele.recUri?.path || '')}` + ); + + if ( + !rec || + e.document.uri.scheme !== 'zenml-stepfixer' || + e.reason !== vscode.TextDocumentSaveReason.Manual + ) { + return; + } + + try { + await fs.writeFile(rec.sourceUri.fsPath, e.document.getText()); + } catch (e) { + const error = e as Error; + vscode.window.showErrorMessage(`Failed to save AI recommendation: ${error.message}`); + } + }); + + SaveAIChangeEmitter.event(async doc => { + const rec = this.codeRecommendations.find( + ele => ele.recUri?.toString() === doc.uri.toString() + ); + + if (!rec || doc.uri.toString() !== rec.recUri?.toString()) { + return; + } + + try { + await fs.writeFile(rec.sourceUri.fsPath, doc.getText()); + } catch (e) { + const error = e as Error; + vscode.window.showErrorMessage(`Failed to save AI recommendation: ${error.message}`); + } + }); + } + + public static getInstance() { + if (!AIStepFixer.instance) { + AIStepFixer.instance = new AIStepFixer(); + } + return AIStepFixer.instance; + } + + private codeRecommendations: { + sourceUri: vscode.Uri; + recUri: vscode.Uri | undefined; + code: string[]; + sourceCode: string; + currentCodeIndex: number; + }[] = []; + + public async selectLLM() { + if (!WebviewBase.context) { + return; + } + + const providers: vscode.QuickPickItem[] = AIService.getInstance(WebviewBase.context) + .getSupportedProviders() + .map(label => ({ + label, + })); + + interface State { + title: string; + step: number; + totalSteps: number; + provider: vscode.QuickPickItem; + model: vscode.QuickPickItem; + } + const title = 'Select AI Model'; + + async function collectInputs() { + const state = {} as Partial; + await MultiStepInput.run(input => pickProvider(input, state)); + return state as State; + } + + async function pickProvider(input: MultiStepInput, state: Partial): Promise { + const pick = await input.showQuickPick({ + title, + step: 1, + totalSteps: 2, + placeholder: `Select your model's provider`, + items: providers, + activeItem: typeof state.provider !== 'string' ? state.provider : undefined, + shouldResume: shouldResume, + }); + state.provider = pick; + return (input: MultiStepInput) => pickModel(input, state); + } + + async function pickModel(input: MultiStepInput, state: Partial): Promise { + const models = await getAvailableModels(state.provider!); + state.model = await input.showQuickPick({ + title, + step: 2, + totalSteps: 2, + placeholder: 'Select your model', + items: models, + activeItem: state.model, + shouldResume: shouldResume, + }); + } + + async function getAvailableModels( + provider: vscode.QuickPickItem + ): Promise { + if (!WebviewBase.context) return []; + if (!providers.find(p => p.label === provider.label)) return []; + + return ( + await AIService.getInstance(WebviewBase.context).getSupportedModels( + provider.label as SupportedLLMProviders + ) + ).map(label => ({ + label, + })); + } + + const shouldResume = () => Promise.resolve(false); + + const state = await collectInputs(); + AIService.getInstance(WebviewBase.context).setModel( + state.provider.label as SupportedLLMProviders, + state.model.label as SupportedLLMModels + ); + vscode.window.showInformationMessage(`Set default AI model to ${state.model.label}`); + } + + public async suggestFixForStep(id: string, node: PipelineTreeItem): Promise { + if (!WebviewBase.context) { + return; + } + + const client = LSClient.getInstance(); + const stepData = await client.sendLsClientRequest('getPipelineRunStep', [id]); + let log; + try { + log = await fs.readFile(String(stepData.logsUri), { encoding: 'utf-8' }); + } catch (e) { + const error = e as Error; + vscode.window.showErrorMessage(`Failed to read pipeline run logs file: ${error.message}`); + return; + } + + const p = Panels.getInstance(); + const existingPanel = p.getPanel(node.id); + const ai = AIService.getInstance(WebviewBase.context); + + let response; + try { + response = await ai.fixMyPipelineRequest(log, String(stepData.sourceCode)); + } catch (e) { + const error = e as Error; + vscode.window.showErrorMessage(`Failed to get AI fix: ${error.message}`); + this.closeWebviewContextMenu(existingPanel); + return; + } + if (!response) { + this.closeWebviewContextMenu(existingPanel); + return; + } + + const { message, code } = response; + const codeChoices = code + .map(c => { + return c.content; + }) + .filter(content => content); + + let sourceCodeFileMatches = await searchWorkspaceByFileContent( + String(stepData.sourceCode).trim() + ); + + if (sourceCodeFileMatches.length === 0) { + sourceCodeFileMatches = await searchGitCacheByFileContent(String(stepData.sourceCode).trim()); + vscode.window.showInformationMessage( + `We could not find a local file with this step in your current workspace, but found one cached in the nearest git log.` + ); + } + + if (codeChoices.length > 0) { + if (sourceCodeFileMatches.length === 0) { + vscode.window.showWarningMessage( + `We could not find a file with this step in your local environment, so cannot display inline recommendations. If the file is local, make sure it is available within your VSCode workspace and try again.` + ); + } else if (sourceCodeFileMatches.length > 1) { + vscode.window.showWarningMessage( + `We found multiple files with this step in your local environment, so cannot determine in which file to display inline recommendations. If you would like inline recommendations, you can adjust your VSCode environment so that it contains only one file with the registered step and try again.` + ); + } else if (sourceCodeFileMatches.length === 1) { + this.createCodeRecommendation( + sourceCodeFileMatches[0].uri, + codeChoices, + String(stepData.sourceCode).trim(), + existingPanel, + sourceCodeFileMatches[0].content + ); + } + } + + this.createVirtualDocument(id, message || 'Something went wrong', existingPanel); + this.closeWebviewContextMenu(existingPanel); + } + + public async updateCodeRecommendation(recUri: vscode.Uri) { + const rec = this.codeRecommendations.find(rec => rec.recUri?.toString === recUri.toString); + if (!rec) { + return; + } + + rec.currentCodeIndex = + rec.currentCodeIndex + 1 < rec.code.length ? rec.currentCodeIndex + 1 : 0; + + this.editStepFile(rec.sourceUri, rec.code[rec.currentCodeIndex], rec.sourceCode, false); + } + + private closeWebviewContextMenu(existingPanel: vscode.WebviewPanel | undefined) { + if (existingPanel) { + existingPanel.webview.postMessage({ command: 'closeContextMenu' }); + } + } + + private async createVirtualDocument( + id: string, + content: string, + existingPanel?: vscode.WebviewPanel + ) { + const provider = new (class implements vscode.TextDocumentContentProvider { + provideTextDocumentContent(uri: vscode.Uri): string { + return `> Note that the AI can only see the failing step function itself, so may add misinformed code, like redundant import statements. Edit accordingly.\n\n${content}`; + } + })(); + + vscode.workspace.registerTextDocumentContentProvider('fix-my-pipeline', provider); + const uri = vscode.Uri.parse(`fix-my-pipeline:${randomUUID()}.md`); + + if (existingPanel) { + existingPanel.reveal(existingPanel.viewColumn, false); + } + vscode.commands.executeCommand('markdown.showPreviewToSide', uri); + } + + private createCodeRecommendation( + sourceUri: vscode.Uri, + code: string[], + sourceCode: string, + existingPanel?: vscode.WebviewPanel, + fileContents?: string + ) { + const rec = this.codeRecommendations.find( + rec => rec.sourceUri.toString() === sourceUri.toString() + ); + + if (!rec && code.length >= 1) { + this.codeRecommendations.push({ + sourceUri, + recUri: undefined, + code, + sourceCode, + currentCodeIndex: 0, + }); + + this.updateRecommendationsContext(); + } + + this.editStepFile(sourceUri, code[0], sourceCode, true, existingPanel, fileContents); + } + + private async editStepFile( + sourceUri: vscode.Uri, + newContent: string, + oldContent: string, + openFile = true, + existingPanel?: vscode.WebviewPanel, + fileContents?: string + ) { + if (!fileContents) { + fileContents = await (async () => { + try { + return await fs.readFile(sourceUri.fsPath, { encoding: 'utf-8' }); + } catch (e) { + const error = e as Error; + vscode.window.showErrorMessage(`Failed to read source file: ${error.message}`); + return ''; + } + })(); + } + + const fileName = path.posix.basename(sourceUri.path); + const recName = `Recommendations for ${fileName}`; + + await this.stepFs.writeFile( + vscode.Uri.parse(`zenml-stepfixer:/${fileName}`), + Buffer.from(fileContents.replace(oldContent, newContent)), + { + create: true, + overwrite: true, + } + ); + + const recUri = vscode.Uri.parse(`zenml-stepfixer:/${fileName}`); + const rec = this.codeRecommendations.find( + ele => ele.sourceUri.toString() === sourceUri.toString() + ); + if (rec) { + rec.recUri = recUri; + this.updateRecommendationsContext(); + } + + if (openFile) { + if (existingPanel) { + existingPanel.reveal(existingPanel.viewColumn, false); + } + vscode.commands.executeCommand('vscode.diff', sourceUri, recUri, recName); + } + } + + private updateRecommendationsContext() { + vscode.commands.executeCommand( + 'setContext', + 'zenml.aiCodeRecommendations', + this.codeRecommendations + .filter(rec => rec.recUri) + .map(rec => path.posix.basename(rec.recUri?.fsPath || '')) + ); + + vscode.commands.executeCommand( + 'setContext', + 'zenml.multipleAiCodeRecommendations', + this.codeRecommendations + .filter(rec => rec.recUri && rec.code.length > 1) + .map(rec => path.posix.basename(rec.recUri?.fsPath || '')) + ); + } +} diff --git a/src/commands/pipelines/DagRender.ts b/src/commands/pipelines/DagRender.ts index 87598125..f69e39a5 100644 --- a/src/commands/pipelines/DagRender.ts +++ b/src/commands/pipelines/DagRender.ts @@ -15,13 +15,14 @@ import * as vscode from 'vscode'; import * as Dagre from 'dagre'; import { ArrayXY, SVG, registerWindow } from '@svgdotjs/svg.js'; import { PipelineTreeItem, ServerDataProvider } from '../../views/activityBar'; -import { PipelineRunDag, DagNode } from '../../types/PipelineTypes'; +import { PipelineRunDag, DagNode, StepData, ArtifactData } from '../../types/PipelineTypes'; import { LSClient } from '../../services/LSClient'; import { ServerStatus } from '../../types/ServerInfoTypes'; -import { JsonObject } from '../../views/panel/panelView/PanelTreeItem'; import { PanelDataProvider } from '../../views/panel/panelView/PanelDataProvider'; import Panels from '../../common/panels'; import WebviewBase from '../../common/WebviewBase'; +import AIStepFixer from './AIStepFixer'; +import { AIService } from '../../services/aiService'; const ROOT_PATH = ['resources', 'dag-view']; const CSS_FILE = 'dag.css'; @@ -125,6 +126,24 @@ export default class DagRenderer extends WebviewBase { case 'stepUrl': this.openStepUrl(runUrl); break; + + case 'stepFix': + if (!WebviewBase.context) return; + AIStepFixer.getInstance().suggestFixForStep(message.id, node); + break; + + case 'selectLLM': + if (!WebviewBase.context) return; + AIStepFixer.getInstance().selectLLM(); + break; + + case 'getLLM': + if (!WebviewBase.context) return; + panel.webview.postMessage({ + command: 'getLLM', + data: AIService.getInstance(WebviewBase.context).model || 'none', + }); + break; } }; } @@ -135,7 +154,7 @@ export default class DagRenderer extends WebviewBase { const client = LSClient.getInstance(); try { - const stepData = await client.sendLsClientRequest('getPipelineRunStep', [id]); + const stepData = await client.sendLsClientRequest('getPipelineRunStep', [id]); dataPanel.setData({ runUrl, ...stepData }, 'Pipeline Run Step Data'); vscode.commands.executeCommand('zenmlPanelView.focus'); @@ -156,9 +175,11 @@ export default class DagRenderer extends WebviewBase { const client = LSClient.getInstance(); try { - const artifactData = await client.sendLsClientRequest('getPipelineRunArtifact', [ - id, - ]); + const artifactData = await client.sendLsClientRequest( + 'getPipelineRunArtifact', + [id] + ); + console.log('artifact data', artifactData); if (deploymentType === 'cloud') { const artifactUrl = `${dashboardUrl}/artifact-versions/${id}?tab=overview`; diff --git a/src/commands/pipelines/MultiStepInput.ts b/src/commands/pipelines/MultiStepInput.ts new file mode 100644 index 00000000..0ab1c966 --- /dev/null +++ b/src/commands/pipelines/MultiStepInput.ts @@ -0,0 +1,209 @@ +import * as vscode from 'vscode'; + +const InputFlowAction = { + back: Symbol('back'), + cancel: Symbol('cancel'), + resume: Symbol('resume'), +}; + +export type InputStep = (input: MultiStepInput) => Thenable; + +interface QuickPickParameters { + title: string; + step: number; + totalSteps: number; + items: T[]; + activeItem?: T; + ignoreFocusOut?: boolean; + placeholder: string; + buttons?: vscode.QuickInputButton[]; + shouldResume: () => Thenable; +} + +interface InputBoxParameters { + title: string; + step: number; + totalSteps: number; + value: string; + prompt: string; + validate: (value: string) => Promise; + buttons?: vscode.QuickInputButton[]; + ignoreFocusOut?: boolean; + placeholder?: string; + shouldResume: () => Thenable; +} + +export default class MultiStepInput { + static async run(start: InputStep) { + const input = new MultiStepInput(); + return input.stepThrough(start); + } + + private current?: vscode.QuickInput; + private steps: InputStep[] = []; + + private async stepThrough(start: InputStep) { + let step: InputStep | undefined = start; + while (step) { + this.steps.push(step); + if (this.current) { + this.current.enabled = false; + this.current.busy = true; + } + try { + step = await step(this); + } catch (err) { + if (err === InputFlowAction.back) { + this.steps.pop(); + step = this.steps.pop(); + } else if (err === InputFlowAction.resume) { + step = this.steps.pop(); + } else if (err === InputFlowAction.cancel) { + step = undefined; + } else { + throw err; + } + } + } + if (this.current) { + this.current.dispose(); + } + } + + async showQuickPick>({ + title, + step, + totalSteps, + items, + activeItem, + ignoreFocusOut, + placeholder, + buttons, + shouldResume, + }: P) { + const disposables: vscode.Disposable[] = []; + try { + return await new Promise( + (resolve, reject) => { + const input = vscode.window.createQuickPick(); + input.title = title; + input.step = step; + input.totalSteps = totalSteps; + input.ignoreFocusOut = ignoreFocusOut ?? false; + input.placeholder = placeholder; + input.items = items; + if (activeItem) { + input.activeItems = [activeItem]; + } + input.buttons = [ + ...(this.steps.length > 1 ? [vscode.QuickInputButtons.Back] : []), + ...(buttons || []), + ]; + disposables.push( + input.onDidTriggerButton(item => { + if (item === vscode.QuickInputButtons.Back) { + reject(InputFlowAction.back); + } else { + resolve(item); + } + }), + input.onDidChangeSelection(items => resolve(items[0])), + input.onDidHide(() => { + (async () => { + reject( + shouldResume && (await shouldResume()) + ? InputFlowAction.resume + : InputFlowAction.cancel + ); + })().catch(reject); + }) + ); + if (this.current) { + this.current.dispose(); + } + this.current = input; + this.current.show(); + } + ); + } finally { + disposables.forEach(d => d.dispose()); + } + } + + async showInputBox

({ + title, + step, + totalSteps, + value, + prompt, + validate, + buttons, + ignoreFocusOut, + placeholder, + shouldResume, + }: P) { + const disposables: vscode.Disposable[] = []; + try { + return await new Promise( + (resolve, reject) => { + const input = vscode.window.createInputBox(); + input.title = title; + input.step = step; + input.totalSteps = totalSteps; + input.value = value || ''; + input.prompt = prompt; + input.ignoreFocusOut = ignoreFocusOut ?? false; + input.placeholder = placeholder; + input.buttons = [ + ...(this.steps.length > 1 ? [vscode.QuickInputButtons.Back] : []), + ...(buttons || []), + ]; + let validating = validate(''); + disposables.push( + input.onDidTriggerButton(item => { + if (item === vscode.QuickInputButtons.Back) { + reject(InputFlowAction.back); + } else { + resolve(item); + } + }), + input.onDidAccept(async () => { + const value = input.value; + input.enabled = false; + input.busy = true; + if (!(await validate(value))) { + resolve(value); + } + input.enabled = true; + input.busy = false; + }), + input.onDidChangeValue(async text => { + const current = validate(text); + validating = current; + const validationMessage = await current; + if (current === validating) { + input.validationMessage = validationMessage; + } + }), + input.onDidHide(() => { + (async () => { + reject( + shouldResume && (await shouldResume()) + ? InputFlowAction.resume + : InputFlowAction.cancel + ); + })().catch(reject); + }) + ); + if (this.current) { + this.current.dispose(); + } + this.current = input; + this.current.show(); + } + ); + } finally { + disposables.forEach(d => d.dispose()); + } + } +} diff --git a/src/commands/pipelines/StepFixerFs.ts b/src/commands/pipelines/StepFixerFs.ts new file mode 100644 index 00000000..705134e1 --- /dev/null +++ b/src/commands/pipelines/StepFixerFs.ts @@ -0,0 +1,178 @@ +import path from 'path'; +import * as vscode from 'vscode'; + +export const SaveAIChangeEmitter = new vscode.EventEmitter(); + +export default class StepFixerFs implements vscode.FileSystemProvider { + root = new Directory(''); + + stat(uri: vscode.Uri): vscode.FileStat { + return this._lookup(uri, false); + } + + // --- manage file contents + + readFile(uri: vscode.Uri): Uint8Array { + const data = this._lookupAsFile(uri, false).data; + if (data !== undefined) { + return data; + } else { + return new Uint8Array(); + } + } + + writeFile( + uri: vscode.Uri, + content: Uint8Array, + options: { create: boolean; overwrite: boolean } + ): void { + const basename = path.posix.basename(uri.path); + const parent = this._lookupParentDirectory(uri); + let entry = parent.entries.get(basename); + if (entry instanceof Directory) { + throw vscode.FileSystemError.FileIsADirectory(uri); + } + if (!entry && !options.create) { + throw vscode.FileSystemError.FileNotFound(uri); + } + if (entry && options.create && !options.overwrite) { + throw vscode.FileSystemError.FileExists(uri); + } + if (!entry) { + entry = new File(basename); + parent.entries.set(basename, entry); + this._fireSoon({ type: vscode.FileChangeType.Created, uri }); + } + entry.mtime = Date.now(); + entry.size = content.byteLength; + entry.data = content; + + this._fireSoon({ type: vscode.FileChangeType.Changed, uri }); + } + + // --- lookup + + private _lookup(uri: vscode.Uri, silent: false): Entry; + private _lookup(uri: vscode.Uri, silent: boolean): Entry | undefined; + private _lookup(uri: vscode.Uri, silent: boolean): Entry | undefined { + const parts = uri.path.split('/'); + let entry: Entry = this.root; + for (const part of parts) { + if (!part) { + continue; + } + let child: Entry | undefined; + if (entry instanceof Directory) { + child = entry.entries.get(part); + } + if (!child) { + if (!silent) { + throw vscode.FileSystemError.FileNotFound(uri); + } else { + return undefined; + } + } + entry = child; + } + return entry; + } + + private _lookupAsDirectory(uri: vscode.Uri, silent: boolean): Directory { + const entry = this._lookup(uri, silent); + if (entry instanceof Directory) { + return entry; + } + throw vscode.FileSystemError.FileNotADirectory(uri); + } + + private _lookupAsFile(uri: vscode.Uri, silent: boolean): File { + const entry = this._lookup(uri, silent); + if (entry instanceof File) { + return entry; + } + throw vscode.FileSystemError.FileIsADirectory(uri); + } + + private _lookupParentDirectory(uri: vscode.Uri): Directory { + const dirname = uri.with({ path: path.posix.dirname(uri.path) }); + return this._lookupAsDirectory(dirname, false); + } + + // --- manage file events + + private _emitter = new vscode.EventEmitter(); + private _bufferedEvents: vscode.FileChangeEvent[] = []; + private _fireSoonHandle?: NodeJS.Timeout; + + readonly onDidChangeFile: vscode.Event = this._emitter.event; + + private _fireSoon(...events: vscode.FileChangeEvent[]): void { + this._bufferedEvents.push(...events); + + if (this._fireSoonHandle) { + clearTimeout(this._fireSoonHandle); + } + + this._fireSoonHandle = setTimeout(() => { + this._emitter.fire(this._bufferedEvents); + this._bufferedEvents.length = 0; + }, 5); + } + + // --- unused + + watch(_resource: vscode.Uri): vscode.Disposable { + throw vscode.FileSystemError.Unavailable('Watching files is not supported by StepFixerFs.'); + } + readDirectory(uri: vscode.Uri): [string, vscode.FileType][] { + throw vscode.FileSystemError.Unavailable( + 'Reading directories is not supported by StepFixerFs.' + ); + } + rename(oldUri: vscode.Uri, newUri: vscode.Uri, options: { overwrite: boolean }): void { + throw vscode.FileSystemError.NoPermissions('Renaming files is not supported by StepFixerFs.'); + } + delete(uri: vscode.Uri): void { + throw vscode.FileSystemError.NoPermissions('Deleting files is not supported by StepFixerFs.'); + } + createDirectory(uri: vscode.Uri): void { + throw vscode.FileSystemError.NoPermissions( + 'Creating directories is not supported by StepFixerFs.' + ); + } +} + +class FsEntity implements vscode.FileStat { + public ctime: number; + public mtime: number; + public size: number; + public name: string; + public type: vscode.FileType; + + constructor(name: string, type: vscode.FileType) { + this.ctime = Date.now(); + this.mtime = Date.now(); + this.size = 0; + this.name = name; + this.type = type; + } +} + +class File extends FsEntity { + public data?: Uint8Array; + + constructor(name: string) { + super(name, vscode.FileType.File); + } +} + +class Directory extends FsEntity { + public entries: Map; + + constructor(name: string) { + super(name, vscode.FileType.Directory); + this.entries = new Map(); + } +} + +type Entry = File | Directory; diff --git a/src/commands/secrets/cmds.ts b/src/commands/secrets/cmds.ts new file mode 100644 index 00000000..07729568 --- /dev/null +++ b/src/commands/secrets/cmds.ts @@ -0,0 +1,62 @@ +// Copyright(c) ZenML GmbH 2024. All Rights Reserved. +// Licensed under the Apache License, Version 2.0(the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at: +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express +// or implied.See the License for the specific language governing +// permissions and limitations under the License. + +import * as vscode from 'vscode'; +import type { ExtensionContext } from 'vscode'; +import { supportedLLMProviders } from '../../services/aiService'; + +const registerLLMAPIKey = async (context: ExtensionContext) => { + const selectedOption = await vscode.window.showQuickPick(supportedLLMProviders, { + placeHolder: 'Please select an LLM.', + canPickMany: false, + }); + + if (selectedOption === undefined) { + vscode.window.showWarningMessage('API key input was canceled.'); + return undefined; + } + + const model = selectedOption; + const secretKey = `zenml.${model.toLowerCase()}.key`; + + let apiKey = await context.secrets.get(secretKey); + + if (apiKey) { + apiKey = await vscode.window.showInputBox({ + prompt: `${model} API Key already exists, enter a new value to update.`, + password: true, + }); + } else { + apiKey = await vscode.window.showInputBox({ + prompt: `Please enter your ${model} API key`, + password: true, + }); + } + + if (apiKey === undefined) { + vscode.window.showWarningMessage('API key input was canceled.'); + return; + } + + try { + await context.secrets.store(secretKey, apiKey); + vscode.window.showInformationMessage(`${model} API key stored successfully.`); + } catch (e) { + const error = e as Error; + vscode.window.showErrorMessage(`Failed to store ${model} API key: ${error.message}`); + } +}; + +export const secretsCommands = { + registerLLMAPIKey, +}; diff --git a/src/commands/secrets/registry.ts b/src/commands/secrets/registry.ts new file mode 100644 index 00000000..af861a6b --- /dev/null +++ b/src/commands/secrets/registry.ts @@ -0,0 +1,43 @@ +// Copyright(c) ZenML GmbH 2024. All Rights Reserved. +// Licensed under the Apache License, Version 2.0(the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at: +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express +// or implied.See the License for the specific language governing +// permissions and limitations under the License. + +import { secretsCommands } from './cmds'; +import { registerCommand } from '../../common/vscodeapi'; +import { ZenExtension } from '../../services/ZenExtension'; +import { ExtensionContext, commands } from 'vscode'; + +/** + * Registers secrets related commands for the extension. + * + * @param {ExtensionContext} context - The context in which the extension operates, used for registering commands and managing their lifecycle. + */ +export const registerSecretsCommands = (context: ExtensionContext) => { + try { + const registeredCommands = [ + registerCommand( + 'zenml.registerLLMAPIKey', + async () => await secretsCommands.registerLLMAPIKey(context) + ), + ]; + + registeredCommands.forEach(cmd => { + context.subscriptions.push(cmd); + ZenExtension.commandDisposables.push(cmd); + }); + + commands.executeCommand('setContext', 'secretsCommandsRegistered', true); + } catch (error) { + console.error('Error registering secrets commands:', error); + commands.executeCommand('setContext', 'secretsCommandsRegistered', false); + } +}; diff --git a/src/common/utilities.ts b/src/common/utilities.ts index 5b365442..b770dc2e 100644 --- a/src/common/utilities.ts +++ b/src/common/utilities.ts @@ -12,9 +12,11 @@ // permissions and limitations under the License. import * as fs from 'fs-extra'; import * as path from 'path'; +import * as vscode from 'vscode'; import { DocumentSelector, LogLevel, Uri, WorkspaceFolder } from 'vscode'; import { Trace } from 'vscode-jsonrpc/node'; import { getWorkspaceFolders, isVirtualWorkspace } from './vscodeapi'; +import { simpleGit, SimpleGit, grepQueryBuilder } from 'simple-git'; function logLevelToTrace(logLevel: LogLevel): Trace { switch (logLevel) { @@ -87,3 +89,106 @@ export function getDocumentSelector(): DocumentSelector { { scheme: 'vscode-notebook-cell', language: 'python' }, ]; } + +export function findFirstLineNumber(str: string, substr: string): number | null { + const strLines = str.split('\n'); + const substrLines = substr.split('\n'); + + let substrCounter = 0; + let firstLine = null; + for (let strCounter = 0; strCounter < strLines.length; strCounter++) { + if (strLines[strCounter] === substrLines[substrCounter]) { + if (substrCounter === 0) { + firstLine = strCounter; + } + + substrCounter++; + + if (substrCounter >= substrLines.length) { + break; + } + } else { + substrCounter = 0; + firstLine = null; + } + } + + return firstLine; +} + +export async function searchWorkspaceByFileContent(content: string) { + const files = await vscode.workspace.findFiles('**/*'); + const pythonFiles = files.filter(file => file.toString().endsWith('.py')); + let matches: vscode.Uri[] = []; + let fileContents: string[] = []; + + await Promise.all( + pythonFiles.map(async file => { + try { + return await vscode.workspace.openTextDocument(file).then(doc => { + const docText = doc.getText(); + + const normalizedDocText = docText.replace(/\r\n/g, '\n'); + const normalizedContent = content.replace(/\r\n/g, '\n'); + if (normalizedDocText.includes(normalizedContent)) { + matches.push(file); + fileContents.push(docText); + } + }); + } catch (e) { + const error = e as Error; + console.error( + `Something went wrong while trying to access ${file.fsPath}: ${error.message}` + ); + } + }) + ); + + const results = matches.map((uri, i) => ({ uri, content: fileContents[i] })); + return results; +} + +export async function searchGitCacheByFileContent(content: string) { + const GREP_OPTIONS = ['-I', '-w', '-F', '--full-name', '--cached']; + const workspaceRoots = vscode.workspace.workspaceFolders?.map(folder => folder.uri.fsPath) || []; + let matches: vscode.Uri[] = []; + let fileContents: string[] = []; + let git: SimpleGit; + + let matchingFilePaths: string[] | undefined; + for (let root of workspaceRoots) { + let matchingLines: string[] | undefined; + + try { + git = simpleGit({ baseDir: root }); + const lines = content.split(/\r?\n/).filter(line => line !== ''); + for (let line of lines) { + if (!matchingFilePaths) { + matchingFilePaths = [...(await git.grep(line, GREP_OPTIONS)).paths].map(filePath => + path.join(root, filePath) + ); + continue; + } + if (matchingFilePaths.length === 0) break; + + matchingLines = [...(await git.grep(line, GREP_OPTIONS)).paths].map(filePath => + path.join(root, filePath) + ); + + matchingFilePaths = matchingFilePaths.filter(filePath => matchingLines?.includes(filePath)); + } + + const rootRegex = new RegExp(root, 'g'); + matchingLines = matchingLines?.map(path => path.replace(rootRegex, '').slice(1)); + for (let path of matchingLines || []) { + fileContents.push(await git.show(`HEAD:${path}`)); + } + } catch { + console.info(`No git repository found at ${root}`); + } + } + + matches = matchingFilePaths?.map(path => vscode.Uri.file(path)) || []; + const results = matches.map((uri, i) => ({ uri, content: fileContents[i] })); + return results; +} diff --git a/src/common/vscodeapi.ts b/src/common/vscodeapi.ts index ff2463bd..5cdeaf58 100644 --- a/src/common/vscodeapi.ts +++ b/src/common/vscodeapi.ts @@ -18,6 +18,7 @@ import { ConfigurationScope, Disposable, DocumentSelector, + ExtensionContext, languages, LanguageStatusItem, LogOutputChannel, @@ -69,3 +70,14 @@ export function createLanguageStatusItem( ): LanguageStatusItem { return languages.createLanguageStatusItem(id, selector); } + +export async function getSecret(context: ExtensionContext, key: string) { + const secret = await context.secrets.get(key); + + if (secret === undefined) { + console.error(`The requested secret with key '${key}' does not exist.`); + return undefined; + } + + return secret; +} diff --git a/src/services/ZenExtension.ts b/src/services/ZenExtension.ts index 43a0f8e7..842bfb6e 100644 --- a/src/services/ZenExtension.ts +++ b/src/services/ZenExtension.ts @@ -17,6 +17,7 @@ import * as vscode from 'vscode'; import { registerPipelineCommands } from '../commands/pipelines/registry'; import { registerServerCommands } from '../commands/server/registry'; import { registerStackCommands } from '../commands/stack/registry'; +import { registerSecretsCommands } from '../commands/secrets/registry'; import { EXTENSION_ROOT_DIR } from '../common/constants'; import { registerLogger, traceLog, traceVerbose } from '../common/log/logging'; import { @@ -43,6 +44,7 @@ import { toggleCommands } from '../utils/global'; import { PanelDataProvider } from '../views/panel/panelView/PanelDataProvider'; import { ComponentDataProvider } from '../views/activityBar/componentView/ComponentDataProvider'; import { registerComponentCommands } from '../commands/components/registry'; +import { registerAICommands } from '../commands/ai/registry'; export interface IServerInfo { name: string; @@ -73,6 +75,8 @@ export class ZenExtension { registerStackCommands, registerComponentCommands, registerPipelineCommands, + registerSecretsCommands, + registerAICommands, ]; /** diff --git a/src/services/aiService.ts b/src/services/aiService.ts new file mode 100644 index 00000000..ab2f6993 --- /dev/null +++ b/src/services/aiService.ts @@ -0,0 +1,239 @@ +// Copyright(c) ZenML GmbH 2024. All Rights Reserved. +// Licensed under the Apache License, Version 2.0(the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at: +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express +// or implied.See the License for the specific language governing +// permissions and limitations under the License. + +import type { ExtensionContext } from 'vscode'; +import * as vscode from 'vscode'; +// typescript incorrectly identifies the .js as a file extension, not the name of the module +// @ts-expect-error +import { TokenJS } from 'token.js'; +import AIStepFixer from '../commands/pipelines/AIStepFixer'; + +export const supportedLLMProviders = ['anthropic', 'gemini', 'openai'] as const; +export type SupportedLLMProviders = (typeof supportedLLMProviders)[number]; + +const supportedAnthropicModels = [ + 'claude-3-5-sonnet-20240620', + 'claude-3-opus-20240229', + 'claude-3-haiku-20240307', +] as const; +const supportedGeminiModels = ['gemini-1.5-pro', 'gemini-1.5-flash', 'gemini-1.0-pro'] as const; +const supportedOpenAIModels = ['gpt-4o', 'gpt-4', 'gpt-4o-mini', 'gpt-4-turbo', 'gpt-3.5-turbo'] as const; + +type AnthropicModels = (typeof supportedAnthropicModels)[number]; +type GeminiModels = (typeof supportedGeminiModels)[number]; +type OpenAIModels = (typeof supportedOpenAIModels)[number]; + +export type SupportedLLMModels = AnthropicModels | GeminiModels | OpenAIModels; + +export interface FixMyPipelineResponse { + message: string; + code: { language: string; content: string }[]; +} + +export class AIService { + private static instance: AIService; + private context: ExtensionContext; + public provider: SupportedLLMProviders | null; + public model: SupportedLLMModels | null; + private supportedModels: Record = { + anthropic: supportedAnthropicModels, + gemini: supportedGeminiModels, + openai: supportedOpenAIModels, + }; + + private constructor(context: ExtensionContext) { + this.context = context; + + const configuration = vscode.workspace.getConfiguration('zenml').get('llm-model') as + | string + | null; + + if (configuration === null) { + this.provider = null; + this.model = null; + return; + } + + const [provider, model] = configuration.split('.'); + this.provider = this.decode(provider) as SupportedLLMProviders; + this.model = this.decode(model) as SupportedLLMModels; + } + + private async getAPIKey() { + if (!this.provider) { + throw new Error( + `No API provider configured. Please select a provider and model through the command palette.` + ); + } + + const apiKey = await this.context.secrets.get(`zenml.${this.provider}.key`); + + if (apiKey === undefined) { + throw new Error( + `No ${this.provider} API key configured. Please add an environment variable or save a key through the command palette above and try again.` + ); + } + + return apiKey; + } + + private extractPythonSnippets(response: string, codeblockStr: string): string[] { + const codeBlockLines = response + .split(codeblockStr) + .filter(ele => ele.startsWith('python') && ele.includes('@step')) + .map(snippet => snippet.slice(7).replace(/\r\n/g, '\n').split('\n')); + + const snippets = codeBlockLines.map(block => { + while (block.every(line => line[0].match(/\s/))) { + block = block.map(line => line.slice(1)); + } + + return block.join('\n'); + }); + + return snippets; + } + + private normalizeCodeblocks(response: string, codeblockStr: string): string { + let lines = response.replace(/\r\n/g, '\n').split('\n'); + + let metadata = lines + .map((line, i) => ({ index: i, text: line.trim() })) + .filter(line => line.text === '```python' || line.text === '```'); + + metadata = metadata.filter((line, i) => { + return ( + (line.text === '```python' && (i === 0 || metadata[i - 1].text === '```')) || + (line.text === '```' && (i === metadata.length - 1 || metadata[i + 1].text === '```python')) + ); + }); + + for (let line of metadata) { + lines[line.index] = lines[line.index].replace(/```/g, codeblockStr); + } + + return lines.join('\n'); + } + + private encode(str: string) { + return str.replace(/\./g, '%2E'); + } + + private decode(str: string) { + return str.replace(/%2E/g, '.'); + } + + public static getInstance(context: ExtensionContext) { + if (!AIService.instance) { + AIService.instance = new AIService(context); + } + + return AIService.instance; + } + + public async fixMyPipelineRequest( + log: string, + code: string + ): Promise { + if (!this.provider || !this.model) { + AIStepFixer.getInstance().selectLLM(); + vscode.window.showErrorMessage( + `No AI model selected. Please select one through the command palette above and try again.` + ); + return; + } + + let apiKey: string; + + try { + apiKey = await this.getAPIKey(); + } catch (e) { + const error = e as Error; + vscode.window.showErrorMessage(error.message); + vscode.commands.executeCommand('zenml.registerLLMAPIKey'); + return; + } + + const tokenjs = new TokenJS({ apiKey }); + + let completion; + try { + completion = await tokenjs.chat.completions.create({ + provider: this.provider, + model: this.model, + messages: [ + { + role: 'system', + content: `You are an advanced AI programming assistant tasked with troubleshooting pipeline runs for ZenML into an explanation that is both easy to understand and meaningful. Construct an explanation that: + - Places the emphasis on the 'why' of the error, explaining possible causes of the problem, beyond just detailing what the error is. + - Do not make any assumptions or invent details that are not supported by the code or the user-provided context + - For the code snippets, please provide the entire content of the source code with any required edits made + - Do not skip or truncate any code by including comments like "// ... the rest of your code" + - Please respond only in markdown syntax.`, + }, + { + role: 'user', + content: `Here is the content of the error message: ${log}`, + }, + { role: 'user', content: `Here is the source code where the error occured: ${code}` }, + { + role: 'user', + content: + 'Now, please explain some possible causes of the error. If you identify any code errors that could resolve the issue, please also provide the full content of the source code with the proposed changes made.', + }, + ], + }); + } catch (e) { + const error = e as Error; + vscode.window.showErrorMessage( + `Something went wrong. Please verify your API key is correct and active.: ${error.message}` + ); + return; + } + + let response = completion?.choices[0]?.message?.content; + if (!response) { + return undefined; + } + + let codeblockStr = '```'; + while (code.includes(codeblockStr)) { + codeblockStr = codeblockStr + '`'; + } + + response = this.normalizeCodeblocks(response, codeblockStr); + const pythonSnippets = this.extractPythonSnippets(response, codeblockStr).map(snippet => { + return { language: 'python', content: snippet }; + }); + + return { + message: response, + code: pythonSnippets, + }; + } + + public getSupportedModels(provider: SupportedLLMProviders): string[] { + return this.supportedModels[provider].slice(); + } + + public getSupportedProviders(): string[] { + return supportedLLMProviders.slice(); + } + + public setModel(provider: SupportedLLMProviders, model: SupportedLLMModels) { + this.provider = this.decode(provider) as SupportedLLMProviders; + this.model = this.decode(model) as SupportedLLMModels; + const config = `${this.encode(provider)}.${this.encode(model)}`; + vscode.workspace.getConfiguration('zenml').update('llm-model', config); + } +} diff --git a/src/types/PipelineTypes.ts b/src/types/PipelineTypes.ts index 19315ce1..03cb439c 100644 --- a/src/types/PipelineTypes.ts +++ b/src/types/PipelineTypes.ts @@ -33,6 +33,50 @@ export interface PipelineRun { pythonVersion: string; } +export interface StepData { + author: { + email: string; + fullName: string; + }; + cacheKey: string; + duration: string; + endTime: string; + id: string; + logsUri: string; + name: string; + orchestrator: { runId: string }; + pipeline: { name: string; status: string }; + sourceCode: string; + stackName: string; + startTime: string; + status: string; +} + +export type ArtifactData = { + name: string; + version: string; + id: string; + type: string; + author: { + fullName: string; + email: string; + }; + data: { + uri: string; + dataType: string; + }; + metadata: { + dtype: Record; + max: Record; + mean: Record; + min: Record; + std: Record; + shape: [number, number]; + storage_size: number; + }; + updated: string; +}; + export interface DagStep { id: string; type: 'step';