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"license": "MIT" }, + "node_modules/lodash.camelcase": { + "version": "4.3.0", + "resolved": "https://registry.npmjs.org/lodash.camelcase/-/lodash.camelcase-4.3.0.tgz", + "integrity": "sha512-TwuEnCnxbc3rAvhf/LbG7tJUDzhqXyFnv3dtzLOPgCG/hODL7WFnsbwktkD7yUV0RrreP/l1PALq/YSg6VvjlA==", + "license": "MIT" + }, "node_modules/lodash.merge": { "version": "4.6.2", "resolved": "https://registry.npmjs.org/lodash.merge/-/lodash.merge-4.6.2.tgz", @@ -3955,6 +4815,12 @@ "dev": true, "license": "MIT" }, + "node_modules/long": { + "version": "5.3.2", + "resolved": "https://registry.npmjs.org/long/-/long-5.3.2.tgz", + "integrity": "sha512-mNAgZ1GmyNhD7AuqnTG3/VQ26o760+ZYBPKjPvugO8+nLbYfX6TVpJPseBvopbdY+qpZ/lKUnmEc1LeZYS3QAA==", + "license": "Apache-2.0" + }, "node_modules/loupe": { "version": "2.3.7", "resolved": "https://registry.npmjs.org/loupe/-/loupe-2.3.7.tgz", @@ -4721,6 +5587,30 @@ "url": "https://github.com/chalk/ansi-styles?sponsor=1" } }, + "node_modules/protobufjs": { + "version": "7.5.3", + "resolved": "https://registry.npmjs.org/protobufjs/-/protobufjs-7.5.3.tgz", + "integrity": "sha512-sildjKwVqOI2kmFDiXQ6aEB0fjYTafpEvIBs8tOR8qI4spuL9OPROLVu2qZqi/xgCfsHIwVqlaF8JBjWFHnKbw==", + "hasInstallScript": true, + "license": "BSD-3-Clause", + "dependencies": { + "@protobufjs/aspromise": "^1.1.2", + "@protobufjs/base64": "^1.1.2", + "@protobufjs/codegen": "^2.0.4", + "@protobufjs/eventemitter": "^1.1.0", + "@protobufjs/fetch": "^1.1.0", + "@protobufjs/float": "^1.0.2", + "@protobufjs/inquire": "^1.1.0", + "@protobufjs/path": "^1.1.2", + "@protobufjs/pool": "^1.1.0", + "@protobufjs/utf8": "^1.1.0", + "@types/node": ">=13.7.0", + "long": "^5.0.0" + }, + "engines": { + "node": ">=12.0.0" + } + }, "node_modules/psl": { "version": "1.15.0", "resolved": "https://registry.npmjs.org/psl/-/psl-1.15.0.tgz", @@ -4854,6 +5744,15 @@ "node": ">=8" } }, + "node_modules/require-directory": { + "version": "2.1.1", + "resolved": "https://registry.npmjs.org/require-directory/-/require-directory-2.1.1.tgz", + "integrity": "sha512-fGxEI7+wsG9xrvdjsrlmL22OMTTiHRwAMroiEeMgq8gzoLC/PQr7RsRDSTLUg/bZAZtF+TVIkHc6/4RIKrui+Q==", + "license": "MIT", + "engines": { + "node": ">=0.10.0" + } + }, "node_modules/requires-port": { "version": "1.0.0", "resolved": "https://registry.npmjs.org/requires-port/-/requires-port-1.0.0.tgz", @@ -4971,6 +5870,26 @@ "queue-microtask": "^1.2.2" } }, + "node_modules/safe-buffer": { + "version": "5.2.1", + "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz", + "integrity": "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ==", + "funding": [ + { + "type": "github", + "url": "https://github.com/sponsors/feross" + }, + { + "type": "patreon", + "url": "https://www.patreon.com/feross" + }, + { + "type": "consulting", + "url": "https://feross.org/support" + } + ], + "license": "MIT" + }, "node_modules/safer-buffer": { "version": "2.1.2", "resolved": "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz", @@ -5493,6 +6412,12 @@ "integrity": "sha512-Y/arvbn+rrz3JCKl9C4kVNfTfSm2/mEp5FSz5EsZSANGPSlQrpRI5M4PKF+mJnE52jOO90PnPSc3Ur3bTQw0gA==", "license": "Apache-2.0" }, + "node_modules/tslib": { + "version": "2.8.1", + "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz", + "integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==", + "license": "0BSD" + }, "node_modules/type-check": { "version": "0.4.0", "resolved": "https://registry.npmjs.org/type-check/-/type-check-0.4.0.tgz", @@ -5523,6 +6448,12 @@ "dev": true, "license": "MIT" }, + "node_modules/undici-types": { + "version": "7.10.0", + "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-7.10.0.tgz", + "integrity": "sha512-t5Fy/nfn+14LuOc2KNYg75vZqClpAiqscVvMygNnlsHBFpSXdJaYtXMcdNLpl/Qvc3P2cB3s6lOV51nqsFq4ag==", + "license": "MIT" + }, "node_modules/universalify": { "version": "0.2.0", "resolved": "https://registry.npmjs.org/universalify/-/universalify-0.2.0.tgz", @@ -6775,6 +7706,12 @@ "node": ">=18" } }, + "node_modules/web-vitals": { + "version": "4.2.4", + "resolved": "https://registry.npmjs.org/web-vitals/-/web-vitals-4.2.4.tgz", + "integrity": "sha512-r4DIlprAGwJ7YM11VZp4R884m0Vmgr6EAKe3P+kO0PPj3Unqyvv59rczf6UiGcb9Z8QxZVcqKNwv/g0WNdWwsw==", + "license": "Apache-2.0" + }, "node_modules/webidl-conversions": { "version": "7.0.0", "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-7.0.0.tgz", @@ -6785,6 +7722,29 @@ "node": ">=12" } }, + "node_modules/websocket-driver": { + "version": "0.7.4", + "resolved": "https://registry.npmjs.org/websocket-driver/-/websocket-driver-0.7.4.tgz", + "integrity": "sha512-b17KeDIQVjvb0ssuSDF2cYXSg2iztliJ4B9WdsuB6J952qCPKmnVq4DyW5motImXHDC1cBT/1UezrJVsKw5zjg==", + "license": "Apache-2.0", + "dependencies": { + "http-parser-js": ">=0.5.1", + "safe-buffer": ">=5.1.0", + "websocket-extensions": ">=0.1.1" + }, + "engines": { + "node": ">=0.8.0" + } + }, + "node_modules/websocket-extensions": { + "version": "0.1.4", + "resolved": "https://registry.npmjs.org/websocket-extensions/-/websocket-extensions-0.1.4.tgz", + "integrity": "sha512-OqedPIGOfsDlo31UNwYbCFMSaO9m9G/0faIHj5/dZFDMFqPTcx6UwqyOy3COEaEOg/9VsGIpdqn62W5KhoKSpg==", + "license": "Apache-2.0", + "engines": { + "node": ">=0.8.0" + } + }, "node_modules/whatwg-encoding": { "version": "3.1.1", "resolved": "https://registry.npmjs.org/whatwg-encoding/-/whatwg-encoding-3.1.1.tgz", @@ -6998,6 +7958,15 @@ "dev": true, "license": "MIT" }, + "node_modules/y18n": { + "version": "5.0.8", + "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz", + "integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==", + "license": "ISC", + "engines": { + "node": ">=10" + } + }, "node_modules/yallist": { "version": "3.1.1", "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz", @@ -7017,6 +7986,74 @@ "node": ">= 14.6" } }, + "node_modules/yargs": { + "version": "17.7.2", + "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz", + "integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==", + "license": "MIT", + "dependencies": { + "cliui": "^8.0.1", + "escalade": "^3.1.1", + "get-caller-file": "^2.0.5", + "require-directory": "^2.1.1", + "string-width": "^4.2.3", + "y18n": "^5.0.5", + "yargs-parser": "^21.1.1" + }, + "engines": { + "node": ">=12" + } + }, + "node_modules/yargs-parser": { + "version": "21.1.1", + "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz", + "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==", + "license": "ISC", + "engines": { + "node": ">=12" + } + }, + "node_modules/yargs/node_modules/ansi-regex": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz", + "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==", + "license": "MIT", + "engines": { + "node": ">=8" + } + }, + "node_modules/yargs/node_modules/emoji-regex": { + "version": "8.0.0", + "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz", + "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==", + "license": "MIT" + }, + "node_modules/yargs/node_modules/string-width": { + "version": "4.2.3", + "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz", + "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==", + "license": "MIT", + "dependencies": { + "emoji-regex": "^8.0.0", + "is-fullwidth-code-point": "^3.0.0", + "strip-ansi": "^6.0.1" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/yargs/node_modules/strip-ansi": { + "version": "6.0.1", + "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz", + "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==", + "license": "MIT", + "dependencies": { + "ansi-regex": "^5.0.1" + }, + "engines": { + "node": ">=8" + } + }, "node_modules/yocto-queue": { "version": "0.1.0", "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", diff --git a/package.json b/package.json index b8b0f28..1429ab2 100644 --- a/package.json +++ b/package.json @@ -17,6 +17,7 @@ "autoprefixer": "^10.4.21", "chart.js": "^4.5.0", "chartjs-plugin-zoom": "^2.2.0", + "firebase": "^12.0.0", "lucide-react": "^0.522.0", "postcss": "^8.5.6", "react": "^19.1.0", diff --git a/src/App.jsx b/src/App.jsx index fce2a15..f9e683e 100644 --- a/src/App.jsx +++ b/src/App.jsx @@ -1,4 +1,29 @@ import React, { useState, useCallback, useEffect } from 'react'; + +// Helper to load state from localStorage +const loadState = () => { + try { + const serializedState = localStorage.getItem('workspaceV1'); + if (serializedState === null) return undefined; + const state = JSON.parse(serializedState); + // Files content is not persisted, just their configs and names. + // User will be prompted to re-upload if they want to see the charts. + if (state.uploadedFiles) { + state.uploadedFiles = state.uploadedFiles.map(file => ({ + ...file, + file: null, + content: null, + data: null, + })); + } + return state; + } catch (err) { + console.warn("Could not load state from localStorage", err); + return undefined; + } +}; + +const persistedState = loadState(); import { FileUpload } from './components/FileUpload'; import { RegexControls } from './components/RegexControls'; import { FileList } from './components/FileList'; @@ -8,12 +33,15 @@ import { Header } from './components/Header'; import { FileConfigModal } from './components/FileConfigModal'; import { PanelLeftClose, PanelLeftOpen } from 'lucide-react'; import { mergeFilesWithReplacement } from './utils/mergeFiles.js'; +import { signInWithGoogle, doSignOut, onAuthChange } from './services/authService.js'; +import { saveWorkspace, loadWorkspace } from './services/workspaceService.js'; function App() { - const [uploadedFiles, setUploadedFiles] = useState([]); + const [currentUser, setCurrentUser] = useState(null); + const [uploadedFiles, setUploadedFiles] = useState(persistedState?.uploadedFiles || []); // 全局解析配置状态 - const [globalParsingConfig, setGlobalParsingConfig] = useState({ + const [globalParsingConfig, setGlobalParsingConfig] = useState(persistedState?.globalParsingConfig || { metrics: [ { name: 'Loss', @@ -30,16 +58,107 @@ function App() { ] }); - const [compareMode, setCompareMode] = useState('normal'); - const [relativeBaseline, setRelativeBaseline] = useState(0.002); - const [absoluteBaseline, setAbsoluteBaseline] = useState(0.005); + const [compareMode, setCompareMode] = useState(persistedState?.compareMode || 'normal'); + const [relativeBaseline, setRelativeBaseline] = useState(persistedState?.relativeBaseline || 0.002); + const [absoluteBaseline, setAbsoluteBaseline] = useState(persistedState?.absoluteBaseline || 0.005); const [configModalOpen, setConfigModalOpen] = useState(false); const [configFile, setConfigFile] = useState(null); const [globalDragOver, setGlobalDragOver] = useState(false); const [, setDragCounter] = useState(0); - const [xRange, setXRange] = useState({ min: undefined, max: undefined }); + const [xRange, setXRange] = useState(persistedState?.xRange || { min: undefined, max: undefined }); const [maxStep, setMaxStep] = useState(0); - const [sidebarVisible, setSidebarVisible] = useState(true); + const [sidebarVisible, setSidebarVisible] = useState(persistedState?.sidebarVisible !== undefined ? persistedState.sidebarVisible : true); + + const applyWorkspace = (workspace) => { + if (!workspace) return; + + // Clear local storage if we are loading from the cloud + localStorage.removeItem('workspaceV1'); + + const files = workspace.uploadedFiles || []; + // Ensure files are in the correct format (without content) + setUploadedFiles(files.map(f => ({ ...f, file: null, content: null, data: null }))); + + setGlobalParsingConfig(workspace.globalParsingConfig || { metrics: [] }); + setCompareMode(workspace.compareMode || 'normal'); + setRelativeBaseline(workspace.relativeBaseline || 0.002); + setAbsoluteBaseline(workspace.absoluteBaseline || 0.005); + setXRange(workspace.xRange || { min: undefined, max: undefined }); + setSidebarVisible(workspace.sidebarVisible !== undefined ? workspace.sidebarVisible : true); + }; + + // Effect for saving state + useEffect(() => { + const stateToSave = { + uploadedFiles: uploadedFiles.map(f => ({ + id: f.id, + name: f.name, + enabled: f.enabled, + config: f.config, + })), + globalParsingConfig, + compareMode, + relativeBaseline, + absoluteBaseline, + xRange, + sidebarVisible, + }; + + if (currentUser) { + saveWorkspace(currentUser.uid, stateToSave) + .catch(err => console.warn("Could not save workspace to Firestore", err)); + } else { + try { + const serializedState = JSON.stringify(stateToSave); + localStorage.setItem('workspaceV1', serializedState); + } catch (err) { + console.warn("Could not save state to localStorage", err); + } + } + }, [ + currentUser, + uploadedFiles, + globalParsingConfig, + compareMode, + relativeBaseline, + absoluteBaseline, + xRange, + sidebarVisible + ]); + + // Effect for handling auth changes and loading data + useEffect(() => { + const unsubscribe = onAuthChange(async (user) => { + if (user) { + const workspace = await loadWorkspace(user.uid); + console.log("User signed in. Workspace from cloud:", workspace); + if (workspace) { + applyWorkspace(workspace); + } + setCurrentUser(user); + } else { + console.log("User signed out."); + setCurrentUser(null); + } + }); + return () => unsubscribe(); + }, []); + + const handleLogin = async () => { + try { + await signInWithGoogle(); + } catch (error) { + console.error("Error signing in with Google", error); + } + }; + + const handleLogout = async () => { + try { + await doSignOut(); + } catch (error) { + console.error("Error signing out", error); + } + }; const handleFilesUploaded = useCallback((files) => { const filesWithDefaults = files.map(file => ({ @@ -300,6 +419,22 @@ function App() { GitHub + {currentUser ? ( + + ) : ( + + )} diff --git a/src/components/RegexControls.jsx b/src/components/RegexControls.jsx index 971cce9..b51f83a 100644 --- a/src/components/RegexControls.jsx +++ b/src/components/RegexControls.jsx @@ -1,201 +1,15 @@ import React, { useState, useEffect, useCallback } from 'react'; -import { Settings, Zap, Eye, ChevronDown, ChevronUp, Target, Code, ZoomIn } from 'lucide-react'; +import { Settings, Zap, Eye, ZoomIn } from 'lucide-react'; import { METRIC_PRESETS } from '../metricPresets.js'; - -// 匹配模式枚举 -const MATCH_MODES = { - KEYWORD: 'keyword', - REGEX: 'regex' -}; - -// 模式配置 -const MODE_CONFIG = { - [MATCH_MODES.KEYWORD]: { - name: '关键词匹配', - icon: Target, - description: '输入关键词，自动查找并提取数值', - example: '输入 "loss" 匹配 "loss: 0.123"' - }, - [MATCH_MODES.REGEX]: { - name: '正则表达式', - icon: Code, - description: '使用正则表达式进行高级匹配', - example: 'loss:\\s*([\\d.eE+-]+)' - } -}; +import { extractorPlugins, extractorPluginOrder } from '../plugins/pluginRegistry.js'; // 根据配置生成友好的标题 function getMetricTitle(metric, index) { if (metric.name && metric.name.trim()) return metric.name.trim(); - if (metric.keyword) return metric.keyword.replace(/[:：]/g, '').trim(); - if (metric.regex) { - const sanitized = metric.regex.replace(/[^a-zA-Z0-9_]/g, '').trim(); - return sanitized || `Metric ${index + 1}`; - } + // Fallback title if name is empty return `Metric ${index + 1}`; } -// 数值提取器类 -export class ValueExtractor { - // 关键词匹配 - static extractByKeyword(content, keyword) { - const results = []; - const lines = content.split('\n'); - - // 数值正则：支持各种数值格式，包括科学计数法 - const numberRegex = /[+-]?\d+(?:\.\d+)?(?:[eE][+-]?\d+)?/; - - lines.forEach((line, lineIndex) => { - // 查找关键词（忽略大小写） - const keywordIndex = line.toLowerCase().indexOf(keyword.toLowerCase()); - if (keywordIndex !== -1) { - // 从关键词后开始查找第一个数字 - const afterKeyword = line.substring(keywordIndex + keyword.length); - const numberMatch = afterKeyword.match(numberRegex); - - if (numberMatch) { - const value = parseFloat(numberMatch[0]); - if (!isNaN(value)) { - results.push({ - value, - line: lineIndex + 1, - text: line.trim(), - format: 'Keyword Match' - }); - } - } - } - }); - - return results; - } - - // 列位置匹配 - static extractByColumn(content, columnIndex, separator = ' ') { - const results = []; - const lines = content.split('\n'); - - lines.forEach((line, lineIndex) => { - if (line.trim()) { - const columns = separator === ' ' - ? line.trim().split(/\s+/) - : line.split(separator); - - if (columns.length > columnIndex) { - const value = parseFloat(columns[columnIndex]); - if (!isNaN(value)) { - results.push({ - value, - line: lineIndex + 1, - text: line.trim() - }); - } - } - } - }); - - return results; - } - - // 智能解析 - static extractBySmart(content, type = 'loss') { - const results = []; - const lines = content.split('\n'); - - // 智能关键词列表 - const keywords = type === 'loss' - ? ['loss', 'training_loss', 'train_loss', 'val_loss', 'validation_loss'] - : ['grad_norm', 'gradient_norm', 'gnorm', 'grad norm', 'gradient norm', 'global_norm']; - - lines.forEach((line, lineIndex) => { - // 尝试JSON解析 - try { - const jsonMatch = line.match(/\{.*\}/); - if (jsonMatch) { - const obj = JSON.parse(jsonMatch[0]); - for (const keyword of keywords) { - if (obj[keyword] !== undefined) { - const value = parseFloat(obj[keyword]); - if (!isNaN(value)) { - results.push({ - value, - line: lineIndex + 1, - text: line.trim(), - format: 'JSON' - }); - return; - } - } - } - } - } catch { - // 不是JSON，继续其他格式 - } - - // 尝试键值对格式和特殊格式 - for (const keyword of keywords) { - const patterns = [ - // 标准键值对格式 - new RegExp(`${keyword}\\s*[:=]\\s*([\\d.eE+-]+)`, 'i'), - new RegExp(`"${keyword}"\\s*:\\s*([\\d.eE+-]+)`, 'i'), - new RegExp(`${keyword}\\s+([\\d.eE+-]+)`, 'i'), - // MindFormers特殊格式：global_norm: [1.6887678] - new RegExp(`${keyword}\\s*:\\s*\\[([\\d.eE+-]+)\\]`, 'i'), - // 其他可能的数组格式 - new RegExp(`${keyword}\\s*:\\s*\\[\\s*([\\d.eE+-]+)\\s*\\]`, 'i') - ]; - - for (const pattern of patterns) { - const match = line.match(pattern); - if (match) { - const value = parseFloat(match[1]); - if (!isNaN(value)) { - results.push({ - value, - line: lineIndex + 1, - text: line.trim(), - format: keyword.includes('global_norm') ? 'MindFormers' : 'Key-Value' - }); - return; - } - } - } - } - }); - - return results; - } - - // 正则表达式匹配（原有功能） - static extractByRegex(content, regex) { - const results = []; - const lines = content.split('\n'); - - try { - const regexObj = new RegExp(regex, 'gi'); - lines.forEach((line, lineIndex) => { - const matches = [...line.matchAll(regexObj)]; - matches.forEach(match => { - if (match[1]) { - const value = parseFloat(match[1]); - if (!isNaN(value)) { - results.push({ - value, - line: lineIndex + 1, - text: line.trim() - }); - } - } - }); - }); - } catch { - // 无效正则表达式 - } - - return results; - } -} - export function RegexControls({ globalParsingConfig, onGlobalParsingConfigChange, @@ -207,26 +21,22 @@ export function RegexControls({ const [showPreview, setShowPreview] = useState(false); const [previewResults, setPreviewResults] = useState({}); - // 提取数值的通用函数 - const extractValues = useCallback((content, mode, config) => { - switch (mode) { - case MATCH_MODES.KEYWORD: - return ValueExtractor.extractByKeyword(content, config.keyword); - case MATCH_MODES.REGEX: - return ValueExtractor.extractByRegex(content, config.regex); - default: - return []; + // 提取数值的通用函数 - 现在是插件分发器 + const extractValues = useCallback((content, metricConfig) => { + const plugin = extractorPlugins[metricConfig.mode]; + if (plugin) { + return plugin.extract(content, metricConfig); } + return []; }, []); // 预览匹配结果 const previewMatches = useCallback(() => { const results = {}; - uploadedFiles.forEach(file => { if (file.content) { globalParsingConfig.metrics.forEach((cfg, idx) => { - const matches = extractValues(file.content, cfg.mode, cfg); + const matches = extractValues(file.content, cfg); const key = getMetricTitle(cfg, idx); if (!results[key]) results[key] = []; results[key].push({ @@ -235,48 +45,38 @@ export function RegexControls({ examples: matches.slice(0, 3).map(m => ({ value: m.value, line: m.line, - text: m.text, - format: m.format + text: m.text })) }); }); } }); - setPreviewResults(results); }, [uploadedFiles, globalParsingConfig, extractValues]); - // 智能推荐最佳配置 + // 智能推荐最佳配置 (This could also be a plugin in the future) const smartRecommend = useCallback(() => { if (uploadedFiles.length === 0) return; - + // For simplicity, this logic remains here, but demonstrates where another plugin type could be used. + // This implementation just finds the most common "loss" keyword. const allContent = uploadedFiles.map(f => f.content).join('\n'); + let bestKeyword = 'loss'; + let maxCount = 0; - const newMetrics = globalParsingConfig.metrics.map(m => ({ ...m })); + ['loss', 'training_loss', 'train_loss', 'val_loss'].forEach(keyword => { + const tempConfig = { mode: 'keyword', keyword }; + const matches = extractorPlugins.keyword.extract(allContent, tempConfig); + if (matches.length > maxCount) { + maxCount = matches.length; + bestKeyword = keyword; + } + }); + const newMetrics = [...globalParsingConfig.metrics]; if (newMetrics[0]) { - let maxCount = 0; - ['loss', 'training_loss', 'train_loss'].forEach(keyword => { - const matches = ValueExtractor.extractByKeyword(allContent, keyword); - if (matches.length > maxCount) { - maxCount = matches.length; - newMetrics[0] = { ...newMetrics[0], mode: MATCH_MODES.KEYWORD, keyword }; - } - }); - } - - if (newMetrics[1]) { - let maxCount = 0; - ['grad_norm', 'gradient_norm', 'gnorm', 'global_norm'].forEach(keyword => { - const matches = ValueExtractor.extractByKeyword(allContent, keyword); - if (matches.length > maxCount) { - maxCount = matches.length; - newMetrics[1] = { ...newMetrics[1], mode: MATCH_MODES.KEYWORD, keyword }; - } - }); + newMetrics[0] = { ...newMetrics[0], mode: 'keyword', keyword: bestKeyword }; + onGlobalParsingConfigChange({ metrics: newMetrics }); } - - onGlobalParsingConfigChange({ metrics: newMetrics }); }, [uploadedFiles, globalParsingConfig, onGlobalParsingConfigChange]); // 当配置变化时更新预览 @@ -289,7 +89,15 @@ export function RegexControls({ // 处理配置变化 const handleMetricChange = (index, field, value) => { const newMetrics = [...globalParsingConfig.metrics]; - newMetrics[index] = { ...newMetrics[index], [field]: value }; + const oldMetric = newMetrics[index]; + newMetrics[index] = { ...oldMetric, [field]: value }; + + // If changing mode, we should preserve common fields but might want to reset specific ones. + if (field === 'mode') { + newMetrics[index].keyword = oldMetric.keyword || ''; + newMetrics[index].regex = oldMetric.regex || ''; + } + onGlobalParsingConfigChange({ metrics: newMetrics }); }; @@ -297,8 +105,8 @@ export function RegexControls({ const newMetrics = [ ...globalParsingConfig.metrics, { - name: `metric${globalParsingConfig.metrics.length + 1}`, - mode: 'keyword', + name: `Metric ${globalParsingConfig.metrics.length + 1}`, + mode: 'keyword', // Default mode keyword: '', regex: '' } @@ -314,8 +122,17 @@ export function RegexControls({ const applyPreset = (index, presetLabel) => { const preset = METRIC_PRESETS.find(p => p.label === presetLabel); if (!preset) return; + + // Create a new metric object from the preset + const newMetricFromPreset = { + name: preset.name, + mode: preset.mode, + keyword: preset.keyword || '', + regex: preset.regex || '', + }; + const newMetrics = [...globalParsingConfig.metrics]; - newMetrics[index] = { ...newMetrics[index], ...preset }; + newMetrics[index] = newMetricFromPreset; onGlobalParsingConfigChange({ metrics: newMetrics }); }; @@ -325,88 +142,35 @@ export function RegexControls({ }; // 渲染配置项的函数 - const renderConfigPanel = (type, config, onConfigChange, index) => { - const ModeIcon = MODE_CONFIG[config.mode].icon; + const renderConfigPanel = (metricConfig, onConfigChange) => { + const selectedPlugin = extractorPlugins[metricConfig.mode]; + const ConfigComponent = selectedPlugin ? selectedPlugin.ConfigUI : null; return (
-
- - onConfigChange('name', e.target.value)} - className="w-full px-2 py-1 text-sm border border-gray-300 rounded-md focus:ring-2 focus:ring-blue-500 focus:border-blue-500 focus:outline-none" - /> - -
{/* 模式选择 */}
-

- - {MODE_CONFIG[config.mode].description} -

{/* 根据模式显示不同的配置项 */} - {config.mode === MATCH_MODES.KEYWORD && ( -
- - onConfigChange('keyword', e.target.value)} - className="w-full px-2 py-1 text-sm border border-gray-300 rounded-md focus:ring-2 focus:ring-blue-500 focus:border-blue-500 focus:outline-none" - placeholder="keyword" - /> -

- 支持模糊匹配，如 "loss" 可匹配 "training_loss" -

-
- )} - - {config.mode === MATCH_MODES.REGEX && ( -
- - onConfigChange('regex', e.target.value)} - className="w-full px-2 py-1 text-sm border border-gray-300 rounded-md focus:ring-2 focus:ring-blue-500 focus:border-blue-500 focus:outline-none font-mono" - placeholder="value:\\s*([\\d.eE+-]+)" - /> -

- 使用捕获组 () 来提取数值 -

-
- )} + {ConfigComponent && }
); }; @@ -415,25 +179,17 @@ export function RegexControls({
-
-
{uploadedFiles.length > 0 && ( @@ -441,7 +197,7 @@ export function RegexControls({ @@ -450,52 +206,68 @@ export function RegexControls({
{globalParsingConfig.metrics.map((cfg, idx) => ( -
- -

- - {getMetricTitle(cfg, idx)} 解析配置 -

- {renderConfigPanel(`metric-${idx}`, cfg, (field, value) => handleMetricChange(idx, field, value), idx)} +
+
+ + handleMetricChange(idx, 'name', e.target.value)} + placeholder={getMetricTitle(cfg, idx)} + className="w-full px-2 py-1 text-sm border border-gray-300 rounded-md focus:ring-2 focus:ring-blue-500 focus:border-blue-500 focus:outline-none" + /> + +
+
+
+ {renderConfigPanel(cfg, (field, value) => handleMetricChange(idx, field, value))}
))} -
+
-
handleXRangeChange('min', e.target.value)} className="w-full px-2 py-1 text-xs border border-gray-300 rounded-md focus:ring-2 focus:ring-blue-500 focus:border-blue-500 focus:outline-none" /> - handleXRangeChange('max', e.target.value)} className="w-full px-2 py-1 text-xs border border-gray-300 rounded-md focus:ring-2 focus:ring-blue-500 focus:border-blue-500 focus:outline-none" /> @@ -503,39 +275,38 @@ export function RegexControls({ onClick={() => onXRangeChange({ min: undefined, max: undefined })} className="px-2 py-1 text-xs bg-gray-200 text-gray-700 rounded-md hover:bg-gray-300 focus:outline-none focus:ring-2 focus:ring-blue-500 focus:ring-offset-2 whitespace-nowrap" > - 复位 + 复位 (Reset)

- 在图表上按住 Shift 键并拖动鼠标可选择范围，或直接输入数值。 + 在图表上按住 Shift 键并拖动鼠标可选择范围。

{/* 预览结果 */} {showPreview && uploadedFiles.length > 0 && (
-

匹配预览

+

匹配预览 (Preview)

{Object.entries(previewResults).map(([key, results]) => ( results.map((result, idx) => (
{key} - {result.fileName} - ({result.count} 个匹配) + ({result.count} matches)
- {result.examples.length > 0 && ( + {result.examples.length > 0 ? (
{result.examples.map((example, exIdx) => (
{example.value} - (第{example.line}行) - {example.format && ( - [{example.format}] - )} + (line {example.line})
{example.text}
))}
+ ) : ( +

No matches found in this file.

)}
)) @@ -543,19 +314,6 @@ export function RegexControls({
)} - -
-

🎯 增强解析功能：

-
    -
  • • 关键词匹配：简单输入关键词，自动提取数值（默认模式）
    • -
  • • 正则表达式：高级用户可使用复杂模式
    • -
  • • 智能推荐：一键获得最佳解析配置
    • -
-
); diff --git a/src/components/__tests__/valueExtractor.test.js b/src/components/__tests__/valueExtractor.test.js deleted file mode 100644 index db286dd..0000000 --- a/src/components/__tests__/valueExtractor.test.js +++ /dev/null @@ -1,25 +0,0 @@ -import { describe, it, expect } from 'vitest'; -import { ValueExtractor } from '../RegexControls.jsx'; - -const sampleContent = `loss: 0.123\nstep2 loss 0.234\n{"loss": 0.345, "global_norm": 1.23}`; - -describe('ValueExtractor', () => { - it('extracts values by keyword', () => { - const results = ValueExtractor.extractByKeyword(sampleContent, 'loss:'); - expect(results.length).toBe(1); - expect(results[0].value).toBeCloseTo(0.123); - }); - - it('extracts values by regex', () => { - const results = ValueExtractor.extractByRegex(sampleContent, 'loss[:\\s]+([\\d.]+)'); - expect(results.length).toBe(2); - expect(results[1].value).toBeCloseTo(0.234); - }); - - it('extracts values by smart detection', () => { - const gradContent = 'global_norm: [1.5]'; - const results = ValueExtractor.extractBySmart(gradContent, 'grad_norm'); - expect(results.length).toBe(1); - expect(results[0].value).toBeCloseTo(1.5); - }); -}); diff --git a/src/firebase.js b/src/firebase.js new file mode 100644 index 0000000..42a4d24 --- /dev/null +++ b/src/firebase.js @@ -0,0 +1,28 @@ +// Import the functions you need from the SDKs you need +import { initializeApp } from "firebase/app"; +import { getAuth } from "firebase/auth"; +import { getFirestore } from "firebase/firestore"; + +// TODO: Add SDKs for Firebase products that you want to use +// https://firebase.google.com/docs/web/setup#available-libraries + +// --- IMPORTANT --- +// Replace this with your own Firebase project configuration. +// You can get this from the Firebase console. +const firebaseConfig = { + apiKey: "AIzaSyXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + authDomain: "your-project-id.firebaseapp.com", + projectId: "your-project-id", + storageBucket: "your-project-id.appspot.com", + messagingSenderId: "123456789012", + appId: "1:123456789012:web:XXXXXXXXXXXXXXXXXXXXXX" +}; + +// Initialize Firebase +const app = initializeApp(firebaseConfig); + +// Export the necessary Firebase services +export const auth = getAuth(app); +export const db = getFirestore(app); + +export default app; diff --git a/src/metricPresets.js b/src/metricPresets.js index 8f0bd8d..187e380 100644 --- a/src/metricPresets.js +++ b/src/metricPresets.js @@ -1,6 +1,16 @@ export const METRIC_PRESETS = [ - { label: 'Loss', name: 'Loss', mode: 'keyword', keyword: 'loss:' }, - { label: 'Grad Norm', name: 'Grad Norm', mode: 'keyword', keyword: 'norm:' }, - { label: 'Accuracy', name: 'Accuracy', mode: 'keyword', keyword: 'acc:' }, - { label: 'Learning Rate', name: 'Learning Rate', mode: 'keyword', keyword: 'lr:' } + { label: 'Generic/Loss', name: 'Loss', mode: 'keyword', keyword: 'loss:' }, + { label: 'Generic/Grad Norm', name: 'Grad Norm', mode: 'keyword', keyword: 'norm:' }, + { label: 'Generic/Accuracy', name: 'Accuracy', mode: 'keyword', keyword: 'acc:' }, + { label: 'Generic/Learning Rate', name: 'Learning Rate', mode: 'keyword', keyword: 'lr:' }, + + { label: 'PyTorch/Train Loss', name: 'Train Loss', mode: 'keyword', keyword: 'train_loss' }, + { label: 'PyTorch/Val Loss', name: 'Val Loss', mode: 'keyword', keyword: 'val_loss' }, + { label: 'PyTorch/Val Acc', name: 'Val Acc', mode: 'keyword', keyword: 'val_acc' }, + + { label: 'HuggingFace/Eval Loss', name: 'Eval Loss', mode: 'keyword', keyword: 'eval_loss' }, + { label: 'HuggingFace/Eval Accuracy', name: 'Eval Accuracy', mode: 'keyword', keyword: 'eval_accuracy' }, + + { label: 'Keras/MAE', name: 'MAE', mode: 'keyword', keyword: 'mae:' }, + { label: 'Keras/MSE', name: 'MSE', mode: 'keyword', keyword: 'mse:' }, ]; diff --git a/src/plugins/extractors/keywordExtractor.js b/src/plugins/extractors/keywordExtractor.js new file mode 100644 index 0000000..fc77628 --- /dev/null +++ b/src/plugins/extractors/keywordExtractor.js @@ -0,0 +1,72 @@ +import React from 'react'; + +/** + * Extracts numerical values from text content based on a keyword search. + * It looks for the first number appearing after a case-insensitive keyword match on each line. + * @param {string} content - The text content to parse. + * @param {object} config - The configuration for this extractor. + * @param {string} config.keyword - The keyword to search for. + * @returns {Array} An array of objects, each containing the extracted value and its line number. + */ +function extract(content, config) { + if (!config || !config.keyword) return []; + + const results = []; + const lines = content.split('\n'); + const keyword = config.keyword.toLowerCase(); + const numberRegex = /[+-]?\d+(?:\.\d+)?(?:[eE][+-]?\d+)?/; + + lines.forEach((line, lineIndex) => { + const keywordIndex = line.toLowerCase().indexOf(keyword); + if (keywordIndex !== -1) { + const afterKeyword = line.substring(keywordIndex + keyword.length); + const numberMatch = afterKeyword.match(numberRegex); + + if (numberMatch) { + const value = parseFloat(numberMatch[0]); + if (!isNaN(value)) { + results.push({ + value, + line: lineIndex + 1, + text: line.trim() + }); + } + } + } + }); + + return results; +} + +/** + * A React component that renders the configuration UI for the keyword extractor. + * @param {object} props - The component props. + * @param {object} props.config - The current configuration object for the metric. + * @param {function} props.onConfigChange - A callback function to update the configuration. + */ +function ConfigUI({ config, onConfigChange }) { + return ( +
+ + onConfigChange('keyword', e.target.value)} + className="w-full px-2 py-1 text-sm border border-gray-300 rounded-md focus:ring-2 focus:ring-blue-500 focus:border-blue-500 focus:outline-none" + placeholder="e.g., loss:" + /> +

+ 支持模糊匹配，如 "loss" 可匹配 "training_loss"。 +

+
+ ); +} + +export const keywordExtractorPlugin = { + name: 'keyword', + displayName: '关键词匹配 (Keyword)', + extract, + ConfigUI, +}; diff --git a/src/plugins/extractors/regexExtractor.js b/src/plugins/extractors/regexExtractor.js new file mode 100644 index 0000000..cddb9d4 --- /dev/null +++ b/src/plugins/extractors/regexExtractor.js @@ -0,0 +1,73 @@ +import React from 'react'; + +/** + * Extracts numerical values from text content using a regular expression. + * The regex must contain at least one capture group `()`, and the first capture group will be used as the extracted value. + * @param {string} content - The text content to parse. + * @param {object} config - The configuration for this extractor. + * @param {string} config.regex - The regular expression string. + * @returns {Array} An array of objects, each containing the extracted value and its line number. + */ +function extract(content, config) { + if (!config || !config.regex) return []; + + const results = []; + const lines = content.split('\n'); + + try { + const regexObj = new RegExp(config.regex, 'gi'); + lines.forEach((line, lineIndex) => { + const matches = [...line.matchAll(regexObj)]; + matches.forEach(match => { + if (match[1]) { + const value = parseFloat(match[1]); + if (!isNaN(value)) { + results.push({ + value, + line: lineIndex + 1, + text: line.trim() + }); + } + } + }); + }); + } catch (e) { + // Invalid regex, return no results + console.warn("Invalid regex provided:", config.regex, e); + } + + return results; +} + +/** + * A React component that renders the configuration UI for the regex extractor. + * @param {object} props - The component props. + * @param {object} props.config - The current configuration object for the metric. + * @param {function} props.onConfigChange - A callback function to update the configuration. + */ +function ConfigUI({ config, onConfigChange }) { + return ( +
+ + onConfigChange('regex', e.target.value)} + className="w-full px-2 py-1 text-sm border border-gray-300 rounded-md focus:ring-2 focus:ring-blue-500 focus:border-blue-500 focus:outline-none font-mono" + placeholder="value:\\s*([\\d.eE+-]+)" + /> +

+ 使用捕获组 `()` 来提取数值。 +

+
+ ); +} + +export const regexExtractorPlugin = { + name: 'regex', + displayName: '正则表达式 (Regex)', + extract, + ConfigUI, +}; diff --git a/src/plugins/pluginRegistry.js b/src/plugins/pluginRegistry.js new file mode 100644 index 0000000..30ace09 --- /dev/null +++ b/src/plugins/pluginRegistry.js @@ -0,0 +1,20 @@ +import { keywordExtractorPlugin } from './extractors/keywordExtractor.js'; +import { regexExtractorPlugin } from './extractors/regexExtractor.js'; + +/** + * A registry of all available data extractor plugins. + * The application will use this registry to discover and use the plugins. + * The key is the plugin's unique `name`, and the value is the plugin object itself. + */ +export const extractorPlugins = { + [keywordExtractorPlugin.name]: keywordExtractorPlugin, + [regexExtractorPlugin.name]: regexExtractorPlugin, +}; + +/** + * An ordered list of plugin names, defining the order they appear in the UI. + */ +export const extractorPluginOrder = [ + keywordExtractorPlugin.name, + regexExtractorPlugin.name, +]; diff --git a/src/services/authService.js b/src/services/authService.js new file mode 100644 index 0000000..301e5c4 --- /dev/null +++ b/src/services/authService.js @@ -0,0 +1,35 @@ +import { + GoogleAuthProvider, + signInWithPopup, + signOut, + onAuthStateChanged +} from "firebase/auth"; +import { auth } from "../firebase"; + +const provider = new GoogleAuthProvider(); + +/** + * Initiates the Google Sign-In popup flow. + * @returns {Promise} A promise that resolves with the user's credentials. + */ +export const signInWithGoogle = () => { + return signInWithPopup(auth, provider); +}; + +/** + * Signs the current user out. + * @returns {Promise} A promise that resolves when the sign-out is complete. + */ +export const doSignOut = () => { + return signOut(auth); +}; + +/** + * Subscribes to changes in the user's authentication state. + * @param {function} callback - The function to call when the auth state changes. + * It receives the user object (or null) as an argument. + * @returns {function} An unsubscribe function. + */ +export const onAuthChange = (callback) => { + return onAuthStateChanged(auth, callback); +}; diff --git a/src/services/workspaceService.js b/src/services/workspaceService.js new file mode 100644 index 0000000..71e2594 --- /dev/null +++ b/src/services/workspaceService.js @@ -0,0 +1,30 @@ +import { db } from '../firebase'; +import { doc, setDoc, getDoc } from 'firebase/firestore'; + +/** + * Saves a user's workspace data to Firestore. + * @param {string} userId - The ID of the user. + * @param {object} workspaceData - The workspace data object to save. + * @returns {Promise} + */ +export const saveWorkspace = (userId, workspaceData) => { + const workspaceRef = doc(db, 'workspaces', userId); + return setDoc(workspaceRef, workspaceData, { merge: true }); +}; + +/** + * Retrieves a user's workspace data from Firestore. + * @param {string} userId - The ID of the user. + * @returns {Promise} A promise that resolves with the workspace data, or null if it doesn't exist. + */ +export const loadWorkspace = async (userId) => { + const workspaceRef = doc(db, 'workspaces', userId); + const docSnap = await getDoc(workspaceRef); + + if (docSnap.exists()) { + return docSnap.data(); + } else { + console.log("No such workspace!"); + return null; + } +};