From d5c26776d7d50f089368c862a2c50764757af571 Mon Sep 17 00:00:00 2001 From: kartikmandar Date: Mon, 15 Dec 2025 02:21:49 +0530 Subject: [PATCH 01/76] feat: add Electron desktop app with full UI and FastAPI backend - React frontend with MUI components (Header, Sidebar, Footer, RightToolbar) - 18 QuickLook pages, Pulsar, Modeling, Simulator, Utilities sections - FastAPI backend with Stingray service layer - Integrated log console, system resources, notifications - Python backend lifecycle management via Electron IPC - Pixi environment and dev scripts --- .gitignore | 45 + electron.vite.config.ts | 47 + electron/ipcHandlers.ts | 212 + electron/main.ts | 175 + electron/menu.ts | 249 + electron/preload.ts | 210 + electron/pythonManager.ts | 367 + index.html | 17 + package-lock.json | 13346 ++++++++++++++++ package.json | 154 + pixi.lock | 12672 +++++++++++++++ pixi.toml | 78 + python-backend/main.py | 170 + python-backend/requirements.txt | 27 + python-backend/routes/__init__.py | 11 + python-backend/routes/data_routes.py | 123 + python-backend/routes/export_routes.py | 111 + python-backend/routes/lightcurve_routes.py | 109 + python-backend/routes/spectrum_routes.py | 175 + python-backend/routes/timing_routes.py | 118 + python-backend/services/__init__.py | 17 + python-backend/services/base_service.py | 98 + python-backend/services/data_service.py | 325 + python-backend/services/export_service.py | 355 + python-backend/services/lightcurve_service.py | 269 + python-backend/services/spectrum_service.py | 470 + python-backend/services/state_manager.py | 194 + python-backend/services/timing_service.py | 330 + python-backend/utils/__init__.py | 6 + python-backend/utils/error_handler.py | 140 + python-backend/utils/performance_monitor.py | 176 + resources/icon.ico | Bin 0 -> 32112 bytes resources/icon.png | Bin 0 -> 79531 bytes scripts/build.sh | 24 + scripts/dev.sh | 85 + scripts/package.sh | 33 + scripts/setup-python.sh | 39 + scripts/start-backend.sh | 3 + src/App.tsx | 289 + src/api/client.ts | 107 + src/api/dataApi.ts | 110 + src/api/exportApi.ts | 86 + src/api/index.ts | 21 + src/api/lightcurveApi.ts | 95 + src/api/spectrumApi.ts | 165 + src/api/timingApi.ts | 123 + src/components/common/LogPanel.tsx | 451 + src/components/common/PageTemplate.tsx | 75 + src/components/layout/Footer.tsx | 407 + src/components/layout/Header.tsx | 248 + src/components/layout/MainLayout.tsx | 126 + src/components/layout/RightToolbar.tsx | 358 + src/components/layout/Sidebar.tsx | 415 + src/index.css | 127 + src/main.tsx | 11 + src/pages/DataIngestion/index.tsx | 101 + src/pages/Home/index.tsx | 163 + src/pages/Modeling/MCMCFitting/index.tsx | 15 + src/pages/Modeling/MLEFitting/index.tsx | 15 + src/pages/Modeling/ModelBuilder/index.tsx | 15 + src/pages/NotFound/index.tsx | 37 + src/pages/Pulsar/PeriodSearch/index.tsx | 15 + src/pages/Pulsar/PhaseFolding/index.tsx | 15 + src/pages/Pulsar/Phaseogram/index.tsx | 15 + src/pages/QuickLook/AutoCorrelation/index.tsx | 15 + .../QuickLook/AvgCovarianceSpectrum/index.tsx | 15 + .../QuickLook/AvgCrossSpectrum/index.tsx | 15 + .../QuickLook/AvgPowerSpectrum/index.tsx | 15 + src/pages/QuickLook/Bispectrum/index.tsx | 15 + src/pages/QuickLook/Coherence/index.tsx | 15 + .../QuickLook/CovarianceSpectrum/index.tsx | 15 + .../QuickLook/CrossCorrelation/index.tsx | 15 + src/pages/QuickLook/CrossSpectrum/index.tsx | 15 + .../QuickLook/DeadTimeCorrections/index.tsx | 15 + .../DynamicalPowerSpectrum/index.tsx | 15 + src/pages/QuickLook/EventList/index.tsx | 15 + .../ExcessVarianceSpectrum/index.tsx | 15 + .../QuickLook/LagEnergySpectrum/index.tsx | 15 + src/pages/QuickLook/LightCurve/index.tsx | 15 + src/pages/QuickLook/PowerSpectrum/index.tsx | 15 + .../QuickLook/RmsEnergySpectrum/index.tsx | 15 + .../VariableEnergySpectrum/index.tsx | 15 + src/pages/Simulator/index.tsx | 15 + src/pages/Utilities/GTI/index.tsx | 15 + src/pages/Utilities/IO/index.tsx | 15 + src/pages/Utilities/Misc/index.tsx | 15 + src/pages/Utilities/MissionIO/index.tsx | 15 + .../Utilities/StatisticalFunctions/index.tsx | 15 + src/store/logStore.ts | 161 + src/store/uiStore.ts | 109 + src/types/electron.d.ts | 88 + test_astropy_roundtrip.py | 151 - tsconfig.json | 32 + tsconfig.node.json | 11 + 94 files changed, 35346 insertions(+), 151 deletions(-) create mode 100644 electron.vite.config.ts create mode 100644 electron/ipcHandlers.ts create mode 100644 electron/main.ts create mode 100644 electron/menu.ts create mode 100644 electron/preload.ts create mode 100644 electron/pythonManager.ts create mode 100644 index.html create mode 100644 package-lock.json create mode 100644 package.json create mode 100644 pixi.lock create mode 100644 pixi.toml create mode 100644 python-backend/main.py create mode 100644 python-backend/requirements.txt create mode 100644 python-backend/routes/__init__.py create mode 100644 python-backend/routes/data_routes.py create mode 100644 python-backend/routes/export_routes.py create mode 100644 python-backend/routes/lightcurve_routes.py create mode 100644 python-backend/routes/spectrum_routes.py create mode 100644 python-backend/routes/timing_routes.py create mode 100644 python-backend/services/__init__.py create mode 100644 python-backend/services/base_service.py create mode 100644 python-backend/services/data_service.py create mode 100644 python-backend/services/export_service.py create mode 100644 python-backend/services/lightcurve_service.py create mode 100644 python-backend/services/spectrum_service.py create mode 100644 python-backend/services/state_manager.py create mode 100644 python-backend/services/timing_service.py create mode 100644 python-backend/utils/__init__.py create mode 100644 python-backend/utils/error_handler.py create mode 100644 python-backend/utils/performance_monitor.py create mode 100644 resources/icon.ico create mode 100644 resources/icon.png create mode 100755 scripts/build.sh create mode 100755 scripts/dev.sh create mode 100755 scripts/package.sh create mode 100755 scripts/setup-python.sh create mode 100755 scripts/start-backend.sh create mode 100644 src/App.tsx create mode 100644 src/api/client.ts create mode 100644 src/api/dataApi.ts create mode 100644 src/api/exportApi.ts create mode 100644 src/api/index.ts create mode 100644 src/api/lightcurveApi.ts create mode 100644 src/api/spectrumApi.ts create mode 100644 src/api/timingApi.ts create mode 100644 src/components/common/LogPanel.tsx create mode 100644 src/components/common/PageTemplate.tsx create mode 100644 src/components/layout/Footer.tsx create mode 100644 src/components/layout/Header.tsx create mode 100644 src/components/layout/MainLayout.tsx create mode 100644 src/components/layout/RightToolbar.tsx create mode 100644 src/components/layout/Sidebar.tsx create mode 100644 src/index.css create mode 100644 src/main.tsx create mode 100644 src/pages/DataIngestion/index.tsx create mode 100644 src/pages/Home/index.tsx create mode 100644 src/pages/Modeling/MCMCFitting/index.tsx create mode 100644 src/pages/Modeling/MLEFitting/index.tsx create mode 100644 src/pages/Modeling/ModelBuilder/index.tsx create mode 100644 src/pages/NotFound/index.tsx create mode 100644 src/pages/Pulsar/PeriodSearch/index.tsx create mode 100644 src/pages/Pulsar/PhaseFolding/index.tsx create mode 100644 src/pages/Pulsar/Phaseogram/index.tsx create mode 100644 src/pages/QuickLook/AutoCorrelation/index.tsx create mode 100644 src/pages/QuickLook/AvgCovarianceSpectrum/index.tsx create mode 100644 src/pages/QuickLook/AvgCrossSpectrum/index.tsx create mode 100644 src/pages/QuickLook/AvgPowerSpectrum/index.tsx create mode 100644 src/pages/QuickLook/Bispectrum/index.tsx create mode 100644 src/pages/QuickLook/Coherence/index.tsx create mode 100644 src/pages/QuickLook/CovarianceSpectrum/index.tsx create mode 100644 src/pages/QuickLook/CrossCorrelation/index.tsx create mode 100644 src/pages/QuickLook/CrossSpectrum/index.tsx create mode 100644 src/pages/QuickLook/DeadTimeCorrections/index.tsx create mode 100644 src/pages/QuickLook/DynamicalPowerSpectrum/index.tsx create mode 100644 src/pages/QuickLook/EventList/index.tsx create mode 100644 src/pages/QuickLook/ExcessVarianceSpectrum/index.tsx create mode 100644 src/pages/QuickLook/LagEnergySpectrum/index.tsx create mode 100644 src/pages/QuickLook/LightCurve/index.tsx create mode 100644 src/pages/QuickLook/PowerSpectrum/index.tsx create mode 100644 src/pages/QuickLook/RmsEnergySpectrum/index.tsx create mode 100644 src/pages/QuickLook/VariableEnergySpectrum/index.tsx create mode 100644 src/pages/Simulator/index.tsx create mode 100644 src/pages/Utilities/GTI/index.tsx create mode 100644 src/pages/Utilities/IO/index.tsx create mode 100644 src/pages/Utilities/Misc/index.tsx create mode 100644 src/pages/Utilities/MissionIO/index.tsx create mode 100644 src/pages/Utilities/StatisticalFunctions/index.tsx create mode 100644 src/store/logStore.ts create mode 100644 src/store/uiStore.ts create mode 100644 src/types/electron.d.ts delete mode 100644 test_astropy_roundtrip.py create mode 100644 tsconfig.json create mode 100644 tsconfig.node.json diff --git a/.gitignore b/.gitignore index a9eaad0..dfc2400 100644 --- a/.gitignore +++ b/.gitignore @@ -13,3 +13,48 @@ files/data/SE1_*.evt.gz files/data/data_small*.hdf5 files/data/data_smaller*.hdf5 files/data/test.rmf + +# Node.js +node_modules/ +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.npm +.pnpm-debug.log* + +# Electron +dist/ +dist-electron/ +out/ +*.asar +*.snap + +# Build output +*.tsbuildinfo +*.log + +# Python virtual environment +.venv/ +venv/ +*.pyc +*.pyo +*.egg-info/ +*.egg +.eggs/ + +# Environment files +.env +.env.local +.env.*.local + +# IDE +*.swp +*.swo +*~ + +# Test coverage +coverage/ +.nyc_output/ + +# Pixi +.pixi/ diff --git a/electron.vite.config.ts b/electron.vite.config.ts new file mode 100644 index 0000000..e7cb545 --- /dev/null +++ b/electron.vite.config.ts @@ -0,0 +1,47 @@ +import { defineConfig, externalizeDepsPlugin } from 'electron-vite'; +import react from '@vitejs/plugin-react'; +import { resolve } from 'path'; + +export default defineConfig({ + main: { + plugins: [externalizeDepsPlugin()], + build: { + outDir: 'dist-electron', + emptyOutDir: false, + rollupOptions: { + input: resolve(__dirname, 'electron/main.ts'), + output: { + entryFileNames: '[name].js', + }, + }, + }, + }, + preload: { + plugins: [externalizeDepsPlugin()], + build: { + outDir: 'dist-electron', + emptyOutDir: false, + rollupOptions: { + input: resolve(__dirname, 'electron/preload.ts'), + output: { + entryFileNames: '[name].js', + }, + }, + }, + }, + renderer: { + root: '.', + build: { + outDir: 'dist', + rollupOptions: { + input: resolve(__dirname, 'index.html'), + }, + }, + plugins: [react()], + resolve: { + alias: { + '@': resolve(__dirname, 'src'), + }, + }, + }, +}); diff --git a/electron/ipcHandlers.ts b/electron/ipcHandlers.ts new file mode 100644 index 0000000..32f9b46 --- /dev/null +++ b/electron/ipcHandlers.ts @@ -0,0 +1,212 @@ +import { ipcMain, dialog, app, shell, clipboard, BrowserWindow } from 'electron'; +import fs from 'fs/promises'; +import path from 'path'; +import { PythonManager } from './pythonManager'; + +type PythonManagerGetter = () => PythonManager | null; + +/** + * Set up all IPC handlers for communication between main and renderer processes + */ +export function setupIpcHandlers(getPythonManager: PythonManagerGetter): void { + // ============================================ + // File Dialog Handlers + // ============================================ + + ipcMain.handle( + 'dialog:openFile', + async ( + _event, + options?: { + title?: string; + filters?: { name: string; extensions: string[] }[]; + multiple?: boolean; + } + ) => { + const result = await dialog.showOpenDialog({ + title: options?.title || 'Open File', + filters: options?.filters || [ + { name: 'FITS Files', extensions: ['fits', 'fit', 'fts'] }, + { name: 'HDF5 Files', extensions: ['hdf5', 'h5', 'hdf'] }, + { name: 'Text Files', extensions: ['txt', 'csv', 'dat', 'ascii'] }, + { name: 'All Files', extensions: ['*'] }, + ], + properties: options?.multiple ? ['openFile', 'multiSelections'] : ['openFile'], + }); + + if (result.canceled) { + return null; + } + + return result.filePaths; + } + ); + + ipcMain.handle( + 'dialog:saveFile', + async ( + _event, + options?: { + title?: string; + defaultPath?: string; + filters?: { name: string; extensions: string[] }[]; + } + ) => { + const result = await dialog.showSaveDialog({ + title: options?.title || 'Save File', + defaultPath: options?.defaultPath, + filters: options?.filters || [ + { name: 'FITS Files', extensions: ['fits'] }, + { name: 'HDF5 Files', extensions: ['hdf5'] }, + { name: 'CSV Files', extensions: ['csv'] }, + { name: 'All Files', extensions: ['*'] }, + ], + }); + + if (result.canceled) { + return null; + } + + return result.filePath; + } + ); + + ipcMain.handle('dialog:openDirectory', async () => { + const result = await dialog.showOpenDialog({ + title: 'Select Directory', + properties: ['openDirectory'], + }); + + if (result.canceled) { + return null; + } + + return result.filePaths[0]; + }); + + // ============================================ + // File System Handlers + // ============================================ + + ipcMain.handle('file:read', async (_event, filePath: string) => { + try { + const buffer = await fs.readFile(filePath); + return buffer.buffer; + } catch (error) { + throw new Error(`Failed to read file: ${error}`); + } + }); + + ipcMain.handle('file:write', async (_event, filePath: string, data: ArrayBuffer | string) => { + try { + const buffer = typeof data === 'string' ? data : Buffer.from(data); + await fs.writeFile(filePath, buffer); + } catch (error) { + throw new Error(`Failed to write file: ${error}`); + } + }); + + ipcMain.handle('file:exists', async (_event, filePath: string) => { + try { + await fs.access(filePath); + return true; + } catch { + return false; + } + }); + + // ============================================ + // Python Backend Handlers + // ============================================ + + ipcMain.handle('python:getPort', () => { + const pythonManager = getPythonManager(); + return pythonManager?.getPort() || 8765; + }); + + ipcMain.handle('python:isRunning', () => { + const pythonManager = getPythonManager(); + return pythonManager?.getIsRunning() || false; + }); + + ipcMain.handle('python:restart', async () => { + const pythonManager = getPythonManager(); + if (pythonManager) { + await pythonManager.restart(); + } + }); + + // ============================================ + // Application Info Handlers + // ============================================ + + ipcMain.handle('app:getVersion', () => { + return app.getVersion(); + }); + + ipcMain.handle('app:getName', () => { + return app.getName(); + }); + + ipcMain.handle('app:getPlatform', () => { + return process.platform; + }); + + ipcMain.handle('app:isDev', () => { + return process.env.NODE_ENV === 'development' || !app.isPackaged; + }); + + // ============================================ + // Window Control Handlers + // ============================================ + + ipcMain.on('window:minimize', (event) => { + const window = BrowserWindow.fromWebContents(event.sender); + window?.minimize(); + }); + + ipcMain.on('window:maximize', (event) => { + const window = BrowserWindow.fromWebContents(event.sender); + if (window?.isMaximized()) { + window.unmaximize(); + } else { + window?.maximize(); + } + }); + + ipcMain.on('window:close', (event) => { + const window = BrowserWindow.fromWebContents(event.sender); + window?.close(); + }); + + ipcMain.on('window:toggleFullscreen', (event) => { + const window = BrowserWindow.fromWebContents(event.sender); + if (window) { + window.setFullScreen(!window.isFullScreen()); + } + }); + + // ============================================ + // Shell Handlers + // ============================================ + + ipcMain.handle('shell:openExternal', async (_event, url: string) => { + await shell.openExternal(url); + }); + + ipcMain.on('shell:showItemInFolder', (_event, filePath: string) => { + shell.showItemInFolder(path.normalize(filePath)); + }); + + // ============================================ + // Clipboard Handlers + // ============================================ + + ipcMain.on('clipboard:copy', (_event, text: string) => { + clipboard.writeText(text); + }); + + ipcMain.handle('clipboard:read', () => { + return clipboard.readText(); + }); +} diff --git a/electron/main.ts b/electron/main.ts new file mode 100644 index 0000000..651c030 --- /dev/null +++ b/electron/main.ts @@ -0,0 +1,175 @@ +import { app, BrowserWindow, dialog, shell, ipcMain } from 'electron'; +import path from 'path'; +import { PythonManager, LogLevel, LogSource, LogMessage } from './pythonManager'; +import { setupIpcHandlers } from './ipcHandlers'; +import { createAppMenu } from './menu'; + +let mainWindow: BrowserWindow | null = null; +let pythonManager: PythonManager | null = null; +let rendererReady = false; +const logBuffer: LogMessage[] = []; + +const isDev = process.env.NODE_ENV === 'development' || !app.isPackaged; + +/** + * Send a log message to the renderer process + * Buffers logs until renderer signals it's ready + */ +function sendLog(level: LogLevel, message: string, source: LogSource = 'electron'): void { + console.log(`[${source}] ${message}`); + const logMessage: LogMessage = { level, source, message }; + + if (rendererReady && mainWindow && !mainWindow.isDestroyed()) { + mainWindow.webContents.send('log:message', logMessage); + } else { + // Buffer logs until renderer is ready + logBuffer.push(logMessage); + } +} + +/** + * Flush buffered logs to the renderer + */ +function flushLogBuffer(): void { + if (mainWindow && !mainWindow.isDestroyed()) { + for (const log of logBuffer) { + mainWindow.webContents.send('log:message', log); + } + logBuffer.length = 0; + } +} + +async function createWindow(): Promise { + mainWindow = new BrowserWindow({ + width: 1400, + height: 900, + minWidth: 1024, + minHeight: 768, + show: false, // Don't show until ready + webPreferences: { + preload: path.join(__dirname, 'preload.js'), + contextIsolation: true, + nodeIntegration: false, + sandbox: false, + }, + titleBarStyle: process.platform === 'darwin' ? 'hiddenInset' : 'default', + icon: isDev + ? path.join(__dirname, '../resources/icon.png') + : path.join(process.resourcesPath, 'icon.png'), + backgroundColor: '#ffffff', + }); + + // Set up the application menu + createAppMenu(mainWindow); + + // Show window when ready + mainWindow.once('ready-to-show', () => { + mainWindow?.show(); + // DevTools can be opened manually with Ctrl+Shift+I or View menu + }); + + // Handle external links + mainWindow.webContents.setWindowOpenHandler(({ url }) => { + shell.openExternal(url); + return { action: 'deny' }; + }); + + // Load the app + if (isDev) { + await mainWindow.loadURL('http://localhost:5173'); + } else { + await mainWindow.loadFile(path.join(__dirname, '../dist/index.html')); + } + + mainWindow.on('closed', () => { + mainWindow = null; + }); +} + +async function initializeApp(): Promise { + try { + // Start Python backend + pythonManager = new PythonManager(); + + // Set the log callback so pythonManager uses our buffered logging + pythonManager.setLogCallback((level, message, source) => { + sendLog(level, message, source); + }); + + // Notify renderer that we're starting Python + mainWindow?.webContents.send('python:starting'); + sendLog('info', 'Starting Python backend...'); + + await pythonManager.start(); + + // Notify renderer that Python is ready + mainWindow?.webContents.send('python:ready', pythonManager.getPort()); + + sendLog('info', `Python backend started successfully on port ${pythonManager.getPort()}`); + } catch (error) { + sendLog('error', `Failed to start Python backend: ${error}`); + mainWindow?.webContents.send('python:error', String(error)); + + // Show error dialog + dialog.showErrorBox( + 'Python Backend Error', + `Failed to start the Python backend. Please ensure Python and required dependencies are installed.\n\nError: ${error}` + ); + } +} + +// Handle renderer ready signal +ipcMain.on('log:rendererReady', () => { + rendererReady = true; + flushLogBuffer(); +}); + +// App lifecycle +app.whenReady().then(async () => { + // Set the application name (important for Linux desktop integration) + app.setName('Stingray Explorer'); + + // Set up IPC handlers before creating window + setupIpcHandlers(() => pythonManager); + + await createWindow(); + await initializeApp(); + + app.on('activate', async () => { + // On macOS, re-create window when dock icon is clicked + if (BrowserWindow.getAllWindows().length === 0) { + await createWindow(); + } + }); +}); + +app.on('window-all-closed', async () => { + // Stop Python backend + if (pythonManager) { + await pythonManager.stop(); + pythonManager = null; + } + + // On macOS, don't quit when all windows are closed + if (process.platform !== 'darwin') { + app.quit(); + } +}); + +app.on('before-quit', async () => { + // Ensure Python backend is stopped + if (pythonManager) { + await pythonManager.stop(); + pythonManager = null; + } +}); + +// Handle uncaught exceptions +process.on('uncaughtException', (error) => { + sendLog('error', `Uncaught exception: ${error.message}`); + dialog.showErrorBox('Unexpected Error', `An unexpected error occurred:\n\n${error.message}`); +}); + +process.on('unhandledRejection', (reason) => { + sendLog('error', `Unhandled rejection: ${reason}`); +}); diff --git a/electron/menu.ts b/electron/menu.ts new file mode 100644 index 0000000..a6d9986 --- /dev/null +++ b/electron/menu.ts @@ -0,0 +1,249 @@ +import { app, Menu, shell, BrowserWindow, MenuItemConstructorOptions } from 'electron'; + +const isMac = process.platform === 'darwin'; + +/** + * Create the application menu + */ +export function createAppMenu(mainWindow: BrowserWindow): void { + const template: MenuItemConstructorOptions[] = [ + // App menu (macOS only) + ...(isMac + ? [ + { + label: app.name, + submenu: [ + { role: 'about' as const }, + { type: 'separator' as const }, + { + label: 'Preferences...', + accelerator: 'CmdOrCtrl+,', + click: (): void => { + mainWindow.webContents.send('menu:preferences'); + }, + }, + { type: 'separator' as const }, + { role: 'services' as const }, + { type: 'separator' as const }, + { role: 'hide' as const }, + { role: 'hideOthers' as const }, + { role: 'unhide' as const }, + { type: 'separator' as const }, + { role: 'quit' as const }, + ], + }, + ] + : []), + + // File menu + { + label: 'File', + submenu: [ + { + label: 'Open File...', + accelerator: 'CmdOrCtrl+O', + click: (): void => { + mainWindow.webContents.send('menu:openFile'); + }, + }, + { + label: 'Open Recent', + role: 'recentDocuments' as const, + submenu: [ + { + label: 'Clear Recent', + role: 'clearRecentDocuments' as const, + }, + ], + }, + { type: 'separator' }, + { + label: 'Save', + accelerator: 'CmdOrCtrl+S', + click: (): void => { + mainWindow.webContents.send('menu:save'); + }, + }, + { + label: 'Save As...', + accelerator: 'CmdOrCtrl+Shift+S', + click: (): void => { + mainWindow.webContents.send('menu:saveAs'); + }, + }, + { + label: 'Export...', + accelerator: 'CmdOrCtrl+E', + click: (): void => { + mainWindow.webContents.send('menu:export'); + }, + }, + { type: 'separator' }, + isMac ? { role: 'close' as const } : { role: 'quit' as const }, + ], + }, + + // Edit menu + { + label: 'Edit', + submenu: [ + { role: 'undo' }, + { role: 'redo' }, + { type: 'separator' }, + { role: 'cut' }, + { role: 'copy' }, + { role: 'paste' }, + ...(isMac + ? [ + { role: 'pasteAndMatchStyle' as const }, + { role: 'delete' as const }, + { role: 'selectAll' as const }, + ] + : [{ role: 'delete' as const }, { type: 'separator' as const }, { role: 'selectAll' as const }]), + ], + }, + + // View menu + { + label: 'View', + submenu: [ + { role: 'reload' }, + { role: 'forceReload' }, + { role: 'toggleDevTools' }, + { type: 'separator' }, + { role: 'resetZoom' }, + { role: 'zoomIn' }, + { role: 'zoomOut' }, + { type: 'separator' }, + { role: 'togglefullscreen' }, + { type: 'separator' }, + { + label: 'Toggle Sidebar', + accelerator: 'CmdOrCtrl+B', + click: (): void => { + mainWindow.webContents.send('menu:toggleSidebar'); + }, + }, + ], + }, + + // Analysis menu + { + label: 'Analysis', + submenu: [ + { + label: 'QuickLook', + submenu: [ + { + label: 'Power Spectrum', + click: (): void => { + mainWindow.webContents.send('menu:navigate', '/quicklook/power-spectrum'); + }, + }, + { + label: 'Light Curve', + click: (): void => { + mainWindow.webContents.send('menu:navigate', '/quicklook/light-curve'); + }, + }, + { + label: 'Cross Spectrum', + click: (): void => { + mainWindow.webContents.send('menu:navigate', '/quicklook/cross-spectrum'); + }, + }, + ], + }, + { + label: 'Pulsar', + submenu: [ + { + label: 'Period Search', + click: (): void => { + mainWindow.webContents.send('menu:navigate', '/pulsar/search'); + }, + }, + { + label: 'Phase Folding', + click: (): void => { + mainWindow.webContents.send('menu:navigate', '/pulsar/folding'); + }, + }, + ], + }, + { + label: 'Modeling', + submenu: [ + { + label: 'Model Builder', + click: (): void => { + mainWindow.webContents.send('menu:navigate', '/modeling/builder'); + }, + }, + { + label: 'MCMC Fitting', + click: (): void => { + mainWindow.webContents.send('menu:navigate', '/modeling/mcmc'); + }, + }, + ], + }, + { type: 'separator' }, + { + label: 'Simulator', + click: (): void => { + mainWindow.webContents.send('menu:navigate', '/simulator'); + }, + }, + ], + }, + + // Window menu + { + label: 'Window', + submenu: [ + { role: 'minimize' }, + { role: 'zoom' }, + ...(isMac + ? [{ type: 'separator' as const }, { role: 'front' as const }, { type: 'separator' as const }, { role: 'window' as const }] + : [{ role: 'close' as const }]), + ], + }, + + // Help menu + { + role: 'help', + submenu: [ + { + label: 'Stingray Documentation', + click: async (): Promise => { + await shell.openExternal('https://docs.stingray.science/'); + }, + }, + { + label: 'Stingray Explorer Wiki', + click: async (): Promise => { + await shell.openExternal('https://github.com/kartikmandar-GSOC24/StingrayExplorer/wiki'); + }, + }, + { type: 'separator' }, + { + label: 'Report Issue', + click: async (): Promise => { + await shell.openExternal('https://github.com/kartikmandar-GSOC24/StingrayExplorer/issues'); + }, + }, + { type: 'separator' }, + { + label: 'About Stingray', + click: async (): Promise => { + await shell.openExternal('https://stingray.science/'); + }, + }, + ], + }, + ]; + + const menu = Menu.buildFromTemplate(template); + Menu.setApplicationMenu(menu); +} diff --git a/electron/preload.ts b/electron/preload.ts new file mode 100644 index 0000000..93c359e --- /dev/null +++ b/electron/preload.ts @@ -0,0 +1,210 @@ +import { contextBridge, ipcRenderer } from 'electron'; + +/** + * Electron API exposed to the renderer process via context bridge + * All communication between renderer and main process goes through here + */ +const electronAPI = { + // ============================================ + // File System Operations + // ============================================ + + /** + * Open a file dialog and return selected file paths + */ + openFile: (options?: { + title?: string; + filters?: { name: string; extensions: string[] }[]; + multiple?: boolean; + }): Promise => ipcRenderer.invoke('dialog:openFile', options), + + /** + * Open a save dialog and return the selected path + */ + saveFile: (options?: { + title?: string; + defaultPath?: string; + filters?: { name: string; extensions: string[] }[]; + }): Promise => ipcRenderer.invoke('dialog:saveFile', options), + + /** + * Open a directory selection dialog + */ + openDirectory: (): Promise => ipcRenderer.invoke('dialog:openDirectory'), + + /** + * Read a file and return its contents + */ + readFile: (filePath: string): Promise => ipcRenderer.invoke('file:read', filePath), + + /** + * Write data to a file + */ + writeFile: (filePath: string, data: ArrayBuffer | string): Promise => + ipcRenderer.invoke('file:write', filePath, data), + + /** + * Check if a file exists + */ + fileExists: (filePath: string): Promise => ipcRenderer.invoke('file:exists', filePath), + + // ============================================ + // Python Backend Communication + // ============================================ + + /** + * Get the port the Python backend is running on + */ + getBackendPort: (): Promise => ipcRenderer.invoke('python:getPort'), + + /** + * Check if Python backend is running + */ + isPythonRunning: (): Promise => ipcRenderer.invoke('python:isRunning'), + + /** + * Restart the Python backend + */ + restartPython: (): Promise => ipcRenderer.invoke('python:restart'), + + /** + * Subscribe to Python backend ready event + */ + onPythonReady: (callback: (port: number) => void): (() => void) => { + const handler = (_event: Electron.IpcRendererEvent, port: number): void => callback(port); + ipcRenderer.on('python:ready', handler); + return () => ipcRenderer.removeListener('python:ready', handler); + }, + + /** + * Subscribe to Python backend starting event + */ + onPythonStarting: (callback: () => void): (() => void) => { + const handler = (): void => callback(); + ipcRenderer.on('python:starting', handler); + return () => ipcRenderer.removeListener('python:starting', handler); + }, + + /** + * Subscribe to Python backend error event + */ + onPythonError: (callback: (error: string) => void): (() => void) => { + const handler = (_event: Electron.IpcRendererEvent, error: string): void => callback(error); + ipcRenderer.on('python:error', handler); + return () => ipcRenderer.removeListener('python:error', handler); + }, + + // ============================================ + // Application Info + // ============================================ + + /** + * Get the application version + */ + getAppVersion: (): Promise => ipcRenderer.invoke('app:getVersion'), + + /** + * Get the application name + */ + getAppName: (): Promise => ipcRenderer.invoke('app:getName'), + + /** + * Get platform information + */ + getPlatform: (): Promise => ipcRenderer.invoke('app:getPlatform'), + + /** + * Check if running in development mode + */ + isDev: (): Promise => ipcRenderer.invoke('app:isDev'), + + // ============================================ + // Window Controls + // ============================================ + + /** + * Minimize the window + */ + minimizeWindow: (): void => ipcRenderer.send('window:minimize'), + + /** + * Maximize/restore the window + */ + maximizeWindow: (): void => ipcRenderer.send('window:maximize'), + + /** + * Close the window + */ + closeWindow: (): void => ipcRenderer.send('window:close'), + + /** + * Toggle fullscreen mode + */ + toggleFullscreen: (): void => ipcRenderer.send('window:toggleFullscreen'), + + // ============================================ + // Shell Operations + // ============================================ + + /** + * Open a URL in the default browser + */ + openExternal: (url: string): Promise => ipcRenderer.invoke('shell:openExternal', url), + + /** + * Show an item in the file manager + */ + showItemInFolder: (path: string): void => ipcRenderer.send('shell:showItemInFolder', path), + + // ============================================ + // Clipboard Operations + // ============================================ + + /** + * Copy text to clipboard + */ + copyToClipboard: (text: string): void => ipcRenderer.send('clipboard:copy', text), + + /** + * Read text from clipboard + */ + readFromClipboard: (): Promise => ipcRenderer.invoke('clipboard:read'), + + // ============================================ + // Log Events + // ============================================ + + /** + * Subscribe to log messages from main process + */ + onLog: ( + callback: (log: { level: 'info' | 'warn' | 'error' | 'debug'; source: 'python' | 'electron'; message: string }) => void + ): (() => void) => { + const handler = ( + _event: Electron.IpcRendererEvent, + log: { level: 'info' | 'warn' | 'error' | 'debug'; source: 'python' | 'electron'; message: string } + ): void => callback(log); + ipcRenderer.on('log:message', handler); + return () => ipcRenderer.removeListener('log:message', handler); + }, + + /** + * Send a log message from renderer to main (for aggregation) + */ + sendLog: (log: { level: 'info' | 'warn' | 'error' | 'debug'; message: string }): void => { + ipcRenderer.send('log:fromRenderer', log); + }, + + /** + * Signal that the renderer is ready to receive logs + */ + signalLogReady: (): void => { + ipcRenderer.send('log:rendererReady'); + }, +}; + +// Expose the API to the renderer process +contextBridge.exposeInMainWorld('electronAPI', electronAPI); + +// Type declaration for the exposed API +export type ElectronAPI = typeof electronAPI; diff --git a/electron/pythonManager.ts b/electron/pythonManager.ts new file mode 100644 index 0000000..8497c0e --- /dev/null +++ b/electron/pythonManager.ts @@ -0,0 +1,367 @@ +import { spawn, ChildProcess } from 'child_process'; +import path from 'path'; +import { app } from 'electron'; +import http from 'http'; + +export type LogLevel = 'info' | 'warn' | 'error' | 'debug'; +export type LogSource = 'python' | 'electron'; + +export interface LogMessage { + level: LogLevel; + source: LogSource; + message: string; +} + +export type LogCallback = (level: LogLevel, message: string, source: LogSource) => void; + +export class PythonManager { + private process: ChildProcess | null = null; + private port: number = 8765; + private maxRetries: number = 60; // 30 seconds max wait + private retryInterval: number = 500; // ms + private isRunning: boolean = false; + private externalBackend: boolean = false; // True if backend was started externally + private logCallback: LogCallback | null = null; + + /** + * Set the log callback for sending logs to the renderer + */ + setLogCallback(callback: LogCallback): void { + this.logCallback = callback; + } + + /** + * Send a log message via the callback + */ + private sendLog(level: LogLevel, message: string): void { + if (this.logCallback) { + this.logCallback(level, message, 'python'); + } else { + console.log(`[Python] ${message}`); + } + } + + /** + * Start the Python backend process + */ + async start(): Promise { + if (this.isRunning) { + this.sendLog('info', 'Python backend is already running'); + return; + } + + // First check if backend is already running (started by dev.sh or externally) + const alreadyRunning = await this.checkHealth(); + if (alreadyRunning) { + this.sendLog('info', 'Python backend is already running externally, connecting to it...'); + this.isRunning = true; + this.externalBackend = true; + return; + } + + // Not running, start it ourselves + const isDev = process.env.NODE_ENV === 'development' || !app.isPackaged; + const { pythonPath, args } = this.getPythonCommand(); + + this.sendLog('info', `Starting Python backend: ${pythonPath} ${args.join(' ')}`); + + this.process = spawn(pythonPath, args, { + cwd: isDev ? path.join(app.getAppPath(), 'python-backend') : undefined, + env: { + ...process.env, + PYTHONUNBUFFERED: '1', + PYTHONDONTWRITEBYTECODE: '1', + }, + stdio: ['ignore', 'pipe', 'pipe'], + }); + + // Handle stdout + this.process.stdout?.on('data', (data: Buffer) => { + const lines = data.toString().trim().split('\n'); + for (const line of lines) { + if (line) { + // Check for port announcement + const portMatch = line.match(/^BACKEND_PORT:(\d+)$/); + if (portMatch) { + this.port = parseInt(portMatch[1], 10); + this.sendLog('info', `Backend will use port ${this.port}`); + } + + // Detect log level from message content + const level = this.detectLogLevel(line); + this.sendLog(level, line); + } + } + }); + + // Handle stderr + this.process.stderr?.on('data', (data: Buffer) => { + const lines = data.toString().trim().split('\n'); + for (const line of lines) { + if (line) { + // Stderr messages are typically warnings or errors + const level = this.detectLogLevel(line, 'warn'); + this.sendLog(level, line); + } + } + }); + + // Handle process exit + this.process.on('exit', (code, signal) => { + const message = `Python backend exited with code ${code}, signal ${signal}`; + this.sendLog(code === 0 ? 'info' : 'error', message); + this.isRunning = false; + this.process = null; + }); + + // Handle process error + this.process.on('error', (error) => { + this.sendLog('error', `Failed to start Python backend: ${error.message}`); + this.isRunning = false; + }); + + // Wait for backend to be ready + await this.waitForReady(); + this.isRunning = true; + } + + /** + * Detect log level from message content + */ + private detectLogLevel(message: string, defaultLevel: LogLevel = 'info'): LogLevel { + const lowerMessage = message.toLowerCase(); + + // Check for explicit level prefixes (uvicorn style: "INFO:", "WARNING:", etc.) + if (lowerMessage.startsWith('info:') || lowerMessage.includes('info: ')) { + return 'info'; + } + if (lowerMessage.startsWith('debug:')) { + return 'debug'; + } + + // Check for error indicators + if (lowerMessage.startsWith('error:') || lowerMessage.includes('error') || + lowerMessage.includes('exception') || lowerMessage.includes('traceback')) { + return 'error'; + } + + // Check for warning indicators + if (lowerMessage.startsWith('warning:') || lowerMessage.startsWith('warn:') || + lowerMessage.includes('warning') || lowerMessage.includes('warn')) { + return 'warn'; + } + + return defaultLevel; + } + + /** + * Request the backend to shutdown via API + */ + private async requestShutdown(): Promise { + return new Promise((resolve) => { + const req = http.request( + { + hostname: '127.0.0.1', + port: this.port, + path: '/api/shutdown', + method: 'POST', + timeout: 2000, + }, + (res) => { + resolve(res.statusCode === 200); + } + ); + + req.on('error', () => { + resolve(false); + }); + + req.on('timeout', () => { + req.destroy(); + resolve(false); + }); + + req.end(); + }); + } + + /** + * Wait for the backend to stop + */ + private async waitForStop(): Promise { + for (let i = 0; i < 20; i++) { + const isRunning = await this.checkHealth(); + if (!isRunning) { + return; + } + await this.sleep(250); + } + } + + /** + * Stop the Python backend process + */ + async stop(): Promise { + this.sendLog('info', 'Stopping Python backend...'); + + // If it was external, request shutdown via API + if (this.externalBackend) { + const shutdownRequested = await this.requestShutdown(); + if (shutdownRequested) { + await this.waitForStop(); + this.sendLog('info', 'External backend stopped via API'); + } + this.isRunning = false; + this.externalBackend = false; + return; + } + + // If we spawned it, kill the process + if (!this.process) { + this.isRunning = false; + return; + } + + return new Promise((resolve) => { + if (!this.process) { + resolve(); + return; + } + + // Try graceful shutdown first + this.process.once('exit', () => { + this.process = null; + this.isRunning = false; + this.sendLog('info', 'Python backend stopped'); + resolve(); + }); + + // Send SIGTERM for graceful shutdown + this.process.kill('SIGTERM'); + + // Force kill after 5 seconds if still running + setTimeout(() => { + if (this.process) { + this.sendLog('warn', 'Force killing Python backend...'); + this.process.kill('SIGKILL'); + } + }, 5000); + }); + } + + /** + * Get the Python command and arguments based on environment + */ + private getPythonCommand(): { pythonPath: string; args: string[] } { + const isDev = process.env.NODE_ENV === 'development' || !app.isPackaged; + + if (isDev) { + // Development: run main.py from python-backend directory + // The cwd is set to python-backend in the spawn call + return { + pythonPath: 'python', + args: ['main.py'], + }; + } else { + // Production: use bundled executable + const platform = process.platform; + let executableName = 'stingray-backend'; + + if (platform === 'win32') { + executableName = 'stingray-backend.exe'; + } + + const executablePath = path.join(process.resourcesPath, 'python-backend', executableName); + + return { + pythonPath: executablePath, + args: [], + }; + } + } + + /** + * Wait for the Python backend to be ready + */ + private async waitForReady(): Promise { + this.sendLog('info', 'Waiting for Python backend to be ready...'); + + for (let i = 0; i < this.maxRetries; i++) { + try { + const isReady = await this.checkHealth(); + if (isReady) { + this.sendLog('info', 'Python backend is ready!'); + return; + } + } catch { + // Ignore errors, keep trying + } + + await this.sleep(this.retryInterval); + } + + const errorMsg = `Python backend failed to start within ${(this.maxRetries * this.retryInterval) / 1000} seconds`; + this.sendLog('error', errorMsg); + throw new Error(errorMsg); + } + + /** + * Check if the backend is healthy + */ + private checkHealth(): Promise { + return new Promise((resolve) => { + const req = http.request( + { + hostname: '127.0.0.1', + port: this.port, + path: '/health', + method: 'GET', + timeout: 1000, + }, + (res) => { + resolve(res.statusCode === 200); + } + ); + + req.on('error', () => { + resolve(false); + }); + + req.on('timeout', () => { + req.destroy(); + resolve(false); + }); + + req.end(); + }); + } + + /** + * Sleep for a specified number of milliseconds + */ + private sleep(ms: number): Promise { + return new Promise((resolve) => setTimeout(resolve, ms)); + } + + /** + * Get the port the Python backend is running on + */ + getPort(): number { + return this.port; + } + + /** + * Check if the Python backend is running + */ + getIsRunning(): boolean { + return this.isRunning; + } + + /** + * Restart the Python backend + */ + async restart(): Promise { + await this.stop(); + await this.start(); + } +} diff --git a/index.html b/index.html new file mode 100644 index 0000000..58ff166 --- /dev/null +++ b/index.html @@ -0,0 +1,17 @@ + + + + + + + + + + + Stingray Explorer + + +
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"pkill -f 'python main.py' || true", description = "Kill any running backend processes" } + +# Build +build = { cmd = "npm run build", description = "Build the Electron app" } +build-frontend = { cmd = "npm run build", description = "Build frontend only" } + +# Install +install-npm = { cmd = "npm install", description = "Install npm dependencies" } +setup = { depends-on = ["install-npm"], description = "Setup the project" } + +# Testing +test-python = { cmd = "pytest tests/", description = "Run Python tests" } +test = { depends-on = ["test-python"], description = "Run all tests" } + +# Utilities +lint = { cmd = "npm run lint", description = "Run linter" } +format = { cmd = "npm run format", description = "Format code" } +health-check = { cmd = "curl -s http://127.0.0.1:8765/health", description = "Check backend health" } + +# Package +package = { cmd = "npm run build && npm run package", description = "Package the application" } + +[dependencies] +# Python +python = ">=3.10" +pip = "*" + +# Stingray and scientific stack +stingray = ">=2.0" +numpy = ">=1.24" +scipy = ">=1.11" +astropy = ">=5.3" +pandas = ">=2.0" +matplotlib = ">=3.7" +pytables = ">=3.8" +numba = ">=0.58" # Optional but recommended for faster Stingray computations + +# FastAPI backend +fastapi = ">=0.109" +uvicorn = ">=0.27" +pydantic = ">=2.5" +httpx = ">=0.26" +python-multipart = "*" +aiofiles = "*" + +# Utilities +psutil = ">=5.9" +requests = ">=2.31" + +# Node.js (npm is included with nodejs) +nodejs = ">=20" + +[feature.dev.dependencies] +# Development dependencies +pytest = ">=7.0" +pytest-asyncio = "*" +black = "*" +ruff = "*" + +[environments] +default = { features = [], solve-group = "default" } +dev = { features = ["dev"], solve-group = "default" } diff --git a/python-backend/main.py b/python-backend/main.py new file mode 100644 index 0000000..49e706d --- /dev/null +++ b/python-backend/main.py @@ -0,0 +1,170 @@ +""" +Stingray Explorer Python Backend + +FastAPI server providing REST API endpoints for X-ray timing analysis +using the Stingray library. +""" + +import os +import signal +import socket +import sys +from contextlib import asynccontextmanager +from typing import AsyncGenerator + +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware + +from routes import data_routes, lightcurve_routes, spectrum_routes, timing_routes, export_routes +from services.state_manager import StateManager +from utils.performance_monitor import PerformanceMonitor + +# Global instances +state_manager: StateManager = None +performance_monitor: PerformanceMonitor = None + + +def find_free_port(start_port: int = 8765, max_attempts: int = 100) -> int: + """Find a free port starting from start_port.""" + for port in range(start_port, start_port + max_attempts): + try: + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + s.bind(("127.0.0.1", port)) + return port + except OSError: + continue + raise RuntimeError(f"Could not find a free port in range {start_port}-{start_port + max_attempts}") + + +@asynccontextmanager +async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]: + """Application lifespan handler for startup/shutdown events.""" + global state_manager, performance_monitor + + # Startup + print("Starting Stingray Explorer Backend...") + state_manager = StateManager() + performance_monitor = PerformanceMonitor() + + # Store in app state for access in routes + app.state.state_manager = state_manager + app.state.performance_monitor = performance_monitor + + print("Backend initialized successfully") + yield + + # Shutdown + print("Shutting down Stingray Explorer Backend...") + # Cleanup if needed + + +def create_app() -> FastAPI: + """Create and configure the FastAPI application.""" + app = FastAPI( + title="Stingray Explorer API", + description="REST API for X-ray timing analysis using the Stingray library", + version="1.0.0", + lifespan=lifespan, + ) + + # Configure CORS for Electron renderer + app.add_middleware( + CORSMiddleware, + allow_origins=["*"], # In production, restrict to electron app + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) + + # Register routes + app.include_router(data_routes.router, prefix="/api/data", tags=["Data"]) + app.include_router(lightcurve_routes.router, prefix="/api/lightcurve", tags=["Lightcurve"]) + app.include_router(spectrum_routes.router, prefix="/api/spectrum", tags=["Spectrum"]) + app.include_router(timing_routes.router, prefix="/api/timing", tags=["Timing"]) + app.include_router(export_routes.router, prefix="/api/export", tags=["Export"]) + + @app.get("/") + async def root(): + """Root endpoint - health check.""" + return {"status": "ok", "message": "Stingray Explorer API is running"} + + @app.get("/health") + async def health_check(): + """Health check endpoint for Electron to verify backend is ready.""" + return { + "status": "healthy", + "version": "1.0.0", + "state_manager": state_manager is not None, + } + + @app.get("/api/status") + async def get_status(): + """Get current application status including system resources.""" + memory_usage = None + + if performance_monitor: + mem_info = performance_monitor.get_memory_usage() + cpu_info = performance_monitor.get_cpu_usage() + + memory_usage = { + "memory_used_mb": mem_info.get("process_mb", 0), + "memory_total_mb": mem_info.get("system_total_gb", 0) * 1024, + "memory_percent": mem_info.get("system_percent", 0), + "cpu_percent": cpu_info.get("system_percent", 0), + } + + return { + "event_lists_loaded": len(state_manager.get_event_data()) if state_manager else 0, + "lightcurves_loaded": len(state_manager.get_lightcurve_data()) if state_manager else 0, + "memory_usage": memory_usage, + } + + @app.post("/api/shutdown") + async def shutdown(): + """Shutdown the backend server.""" + import asyncio + import os + + async def shutdown_server(): + await asyncio.sleep(0.5) # Give time for response to be sent + os._exit(0) + + asyncio.create_task(shutdown_server()) + return {"status": "shutting_down"} + + return app + + +# Create app instance +app = create_app() + + +if __name__ == "__main__": + import uvicorn + + # Get port from environment or command line, or find a free one + requested_port = os.environ.get("PORT") or (sys.argv[1] if len(sys.argv) > 1 else None) + + if requested_port: + port = int(requested_port) + else: + port = find_free_port(8765) + + # Print port so parent process can read it + print(f"BACKEND_PORT:{port}", flush=True) + + # Handle signals for graceful shutdown + def signal_handler(signum, frame): + print(f"\nReceived signal {signum}, shutting down...") + sys.exit(0) + + signal.signal(signal.SIGINT, signal_handler) + signal.signal(signal.SIGTERM, signal_handler) + + uvicorn.run( + "main:app", + host="127.0.0.1", + port=port, + reload=False, + log_level="info", + ) diff --git a/python-backend/requirements.txt b/python-backend/requirements.txt new file mode 100644 index 0000000..8a68c11 --- /dev/null +++ b/python-backend/requirements.txt @@ -0,0 +1,27 @@ +# Stingray Explorer Python Backend Dependencies +# Core +fastapi>=0.109.0 +uvicorn[standard]>=0.27.0 +pydantic>=2.5.0 + +# Stingray and scientific stack +stingray>=2.0.0 +numpy>=1.24.0 +scipy>=1.11.0 +astropy>=5.3.0 +pandas>=2.0.0 +matplotlib>=3.7.0 +tables>=3.8.0 + +# HTTP client (for URL loading) +requests>=2.31.0 +httpx>=0.26.0 + +# Performance monitoring +psutil>=5.9.0 + +# CORS support +python-multipart>=0.0.6 + +# Optional: async support +aiofiles>=23.2.1 diff --git a/python-backend/routes/__init__.py b/python-backend/routes/__init__.py new file mode 100644 index 0000000..255de57 --- /dev/null +++ b/python-backend/routes/__init__.py @@ -0,0 +1,11 @@ +"""API routes for Stingray Explorer.""" + +from . import data_routes, lightcurve_routes, spectrum_routes, timing_routes, export_routes + +__all__ = [ + "data_routes", + "lightcurve_routes", + "spectrum_routes", + "timing_routes", + "export_routes", +] diff --git a/python-backend/routes/data_routes.py b/python-backend/routes/data_routes.py new file mode 100644 index 0000000..3b458e2 --- /dev/null +++ b/python-backend/routes/data_routes.py @@ -0,0 +1,123 @@ +""" +API routes for EventList data operations. +""" + +from typing import List, Optional + +from fastapi import APIRouter, Depends, Request +from pydantic import BaseModel + +from services.data_service import DataService +from services.state_manager import StateManager + +router = APIRouter() + + +def get_data_service(request: Request) -> DataService: + """Get DataService instance from app state.""" + return DataService( + state_manager=request.app.state.state_manager, + performance_monitor=request.app.state.performance_monitor, + ) + + +# Request/Response Models +class LoadEventListRequest(BaseModel): + file_path: str + name: str + fmt: str = "ogip" + rmf_file: Optional[str] = None + additional_columns: Optional[List[str]] = None + + +class LoadEventListFromUrlRequest(BaseModel): + url: str + name: str + fmt: str = "ogip" + + +class SaveEventListRequest(BaseModel): + name: str + file_path: str + fmt: str = "ogip" + + +class CheckFileSizeRequest(BaseModel): + file_path: str + + +# Routes +@router.post("/load") +async def load_event_list( + request: LoadEventListRequest, + service: DataService = Depends(get_data_service), +): + """Load an EventList from a file.""" + return service.load_event_list( + file_path=request.file_path, + name=request.name, + fmt=request.fmt, + rmf_file=request.rmf_file, + additional_columns=request.additional_columns, + ) + + +@router.post("/load-url") +async def load_event_list_from_url( + request: LoadEventListFromUrlRequest, + service: DataService = Depends(get_data_service), +): + """Load an EventList from a URL.""" + return service.load_event_list_from_url( + url=request.url, + name=request.name, + fmt=request.fmt, + ) + + +@router.post("/save") +async def save_event_list( + request: SaveEventListRequest, + service: DataService = Depends(get_data_service), +): + """Save an EventList to disk.""" + return service.save_event_list( + name=request.name, + file_path=request.file_path, + fmt=request.fmt, + ) + + +@router.delete("/{name}") +async def delete_event_list( + name: str, + service: DataService = Depends(get_data_service), +): + """Delete an EventList from state.""" + return service.delete_event_list(name) + + +@router.get("/{name}") +async def get_event_list_info( + name: str, + service: DataService = Depends(get_data_service), +): + """Get information about an EventList.""" + return service.get_event_list_info(name) + + +@router.get("/") +async def list_event_lists( + service: DataService = Depends(get_data_service), +): + """List all loaded EventLists.""" + return service.list_event_lists() + + +@router.post("/check-size") +async def check_file_size( + request: CheckFileSizeRequest, + service: DataService = Depends(get_data_service), +): + """Check file size and get loading recommendations.""" + return service.check_file_size(request.file_path) diff --git a/python-backend/routes/export_routes.py b/python-backend/routes/export_routes.py new file mode 100644 index 0000000..dbe06e8 --- /dev/null +++ b/python-backend/routes/export_routes.py @@ -0,0 +1,111 @@ +""" +API routes for data export operations. +""" + +from fastapi import APIRouter, Depends, Request +from pydantic import BaseModel + +from services.export_service import ExportService + +router = APIRouter() + + +def get_export_service(request: Request) -> ExportService: + """Get ExportService instance from app state.""" + return ExportService( + state_manager=request.app.state.state_manager, + performance_monitor=request.app.state.performance_monitor, + ) + + +# Request Models +class ExportToCsvRequest(BaseModel): + name: str + file_path: str + + +class ExportToHdf5Request(BaseModel): + name: str + file_path: str + data_type: str = "event_list" + + +class ExportToFitsRequest(BaseModel): + name: str + file_path: str + data_type: str = "event_list" + + +# Routes +@router.post("/event-list/csv") +async def export_event_list_to_csv( + request: ExportToCsvRequest, + service: ExportService = Depends(get_export_service), +): + """Export an EventList to CSV file.""" + return service.export_event_list_to_csv( + name=request.name, + file_path=request.file_path, + ) + + +@router.post("/lightcurve/csv") +async def export_lightcurve_to_csv( + request: ExportToCsvRequest, + service: ExportService = Depends(get_export_service), +): + """Export a Lightcurve to CSV file.""" + return service.export_lightcurve_to_csv( + name=request.name, + file_path=request.file_path, + ) + + +@router.post("/spectrum/csv") +async def export_spectrum_to_csv( + request: ExportToCsvRequest, + service: ExportService = Depends(get_export_service), +): + """Export a spectrum to CSV file.""" + return service.export_power_spectrum_to_csv( + name=request.name, + file_path=request.file_path, + ) + + +@router.post("/bispectrum/csv") +async def export_bispectrum_to_csv( + request: ExportToCsvRequest, + service: ExportService = Depends(get_export_service), +): + """Export a bispectrum to CSV file.""" + return service.export_bispectrum_to_csv( + name=request.name, + file_path=request.file_path, + ) + + +@router.post("/hdf5") +async def export_to_hdf5( + request: ExportToHdf5Request, + service: ExportService = Depends(get_export_service), +): + """Export data to HDF5 file.""" + return service.export_to_hdf5( + name=request.name, + file_path=request.file_path, + data_type=request.data_type, + ) + + +@router.post("/fits") +async def export_to_fits( + request: ExportToFitsRequest, + service: ExportService = Depends(get_export_service), +): + """Export data to FITS file.""" + return service.export_to_fits( + name=request.name, + file_path=request.file_path, + data_type=request.data_type, + ) diff --git a/python-backend/routes/lightcurve_routes.py b/python-backend/routes/lightcurve_routes.py new file mode 100644 index 0000000..02d65a6 --- /dev/null +++ b/python-backend/routes/lightcurve_routes.py @@ -0,0 +1,109 @@ +""" +API routes for Lightcurve operations. +""" + +from typing import List, Optional + +from fastapi import APIRouter, Depends, Request +from pydantic import BaseModel + +from services.lightcurve_service import LightcurveService + +router = APIRouter() + + +def get_lightcurve_service(request: Request) -> LightcurveService: + """Get LightcurveService instance from app state.""" + return LightcurveService( + state_manager=request.app.state.state_manager, + performance_monitor=request.app.state.performance_monitor, + ) + + +# Request Models +class CreateLightcurveFromEventListRequest(BaseModel): + event_list_name: str + dt: float + output_name: str + gti: Optional[List[List[float]]] = None + + +class CreateLightcurveFromArraysRequest(BaseModel): + times: List[float] + counts: List[float] + dt: float + output_name: str + + +class RebinLightcurveRequest(BaseModel): + name: str + rebin_factor: float + output_name: str + + +# Routes +@router.post("/from-event-list") +async def create_lightcurve_from_event_list( + request: CreateLightcurveFromEventListRequest, + service: LightcurveService = Depends(get_lightcurve_service), +): + """Create a Lightcurve from an EventList.""" + return service.create_lightcurve_from_event_list( + event_list_name=request.event_list_name, + dt=request.dt, + output_name=request.output_name, + gti=request.gti, + ) + + +@router.post("/from-arrays") +async def create_lightcurve_from_arrays( + request: CreateLightcurveFromArraysRequest, + service: LightcurveService = Depends(get_lightcurve_service), +): + """Create a Lightcurve from time and count arrays.""" + return service.create_lightcurve_from_arrays( + times=request.times, + counts=request.counts, + dt=request.dt, + output_name=request.output_name, + ) + + +@router.post("/rebin") +async def rebin_lightcurve( + request: RebinLightcurveRequest, + service: LightcurveService = Depends(get_lightcurve_service), +): + """Rebin a lightcurve.""" + return service.rebin_lightcurve( + name=request.name, + rebin_factor=request.rebin_factor, + output_name=request.output_name, + ) + + +@router.get("/{name}") +async def get_lightcurve_data( + name: str, + service: LightcurveService = Depends(get_lightcurve_service), +): + """Get lightcurve data for plotting.""" + return service.get_lightcurve_data(name) + + +@router.get("/") +async def list_lightcurves( + service: LightcurveService = Depends(get_lightcurve_service), +): + """List all loaded lightcurves.""" + return service.list_lightcurves() + + +@router.delete("/{name}") +async def delete_lightcurve( + name: str, + service: LightcurveService = Depends(get_lightcurve_service), +): + """Delete a lightcurve from state.""" + return service.delete_lightcurve(name) diff --git a/python-backend/routes/spectrum_routes.py b/python-backend/routes/spectrum_routes.py new file mode 100644 index 0000000..ae6d7c4 --- /dev/null +++ b/python-backend/routes/spectrum_routes.py @@ -0,0 +1,175 @@ +""" +API routes for spectrum operations. +""" + +from typing import Optional + +from fastapi import APIRouter, Depends, Request +from pydantic import BaseModel + +from services.spectrum_service import SpectrumService + +router = APIRouter() + + +def get_spectrum_service(request: Request) -> SpectrumService: + """Get SpectrumService instance from app state.""" + return SpectrumService( + state_manager=request.app.state.state_manager, + performance_monitor=request.app.state.performance_monitor, + ) + + +# Request Models +class CreatePowerSpectrumRequest(BaseModel): + event_list_name: str + dt: float + norm: str = "leahy" + output_name: Optional[str] = None + + +class CreateAveragedPowerSpectrumRequest(BaseModel): + event_list_name: str + dt: float + segment_size: float + norm: str = "leahy" + output_name: Optional[str] = None + + +class CreateCrossSpectrumRequest(BaseModel): + event_list_1_name: str + event_list_2_name: str + dt: float + norm: str = "leahy" + output_name: Optional[str] = None + + +class CreateAveragedCrossSpectrumRequest(BaseModel): + event_list_1_name: str + event_list_2_name: str + dt: float + segment_size: float + norm: str = "leahy" + output_name: Optional[str] = None + + +class CreateDynamicalPowerSpectrumRequest(BaseModel): + event_list_name: str + dt: float + segment_size: float + norm: str = "leahy" + output_name: Optional[str] = None + + +class RebinSpectrumRequest(BaseModel): + name: str + rebin_factor: float + log: bool = False + output_name: Optional[str] = None + + +# Routes +@router.post("/power-spectrum") +async def create_power_spectrum( + request: CreatePowerSpectrumRequest, + service: SpectrumService = Depends(get_spectrum_service), +): + """Create a power spectrum from an EventList.""" + return service.create_power_spectrum( + event_list_name=request.event_list_name, + dt=request.dt, + norm=request.norm, + output_name=request.output_name, + ) + + +@router.post("/averaged-power-spectrum") +async def create_averaged_power_spectrum( + request: CreateAveragedPowerSpectrumRequest, + service: SpectrumService = Depends(get_spectrum_service), +): + """Create an averaged power spectrum from an EventList.""" + return service.create_averaged_power_spectrum( + event_list_name=request.event_list_name, + dt=request.dt, + segment_size=request.segment_size, + norm=request.norm, + output_name=request.output_name, + ) + + +@router.post("/cross-spectrum") +async def create_cross_spectrum( + request: CreateCrossSpectrumRequest, + service: SpectrumService = Depends(get_spectrum_service), +): + """Create a cross spectrum from two EventLists.""" + return service.create_cross_spectrum( + event_list_1_name=request.event_list_1_name, + event_list_2_name=request.event_list_2_name, + dt=request.dt, + norm=request.norm, + output_name=request.output_name, + ) + + +@router.post("/averaged-cross-spectrum") +async def create_averaged_cross_spectrum( + request: CreateAveragedCrossSpectrumRequest, + service: SpectrumService = Depends(get_spectrum_service), +): + """Create an averaged cross spectrum from two EventLists.""" + return service.create_averaged_cross_spectrum( + event_list_1_name=request.event_list_1_name, + event_list_2_name=request.event_list_2_name, + dt=request.dt, + segment_size=request.segment_size, + norm=request.norm, + output_name=request.output_name, + ) + + +@router.post("/dynamical-power-spectrum") +async def create_dynamical_power_spectrum( + request: CreateDynamicalPowerSpectrumRequest, + service: SpectrumService = Depends(get_spectrum_service), +): + """Create a dynamical power spectrum from an EventList.""" + return service.create_dynamical_power_spectrum( + event_list_name=request.event_list_name, + dt=request.dt, + segment_size=request.segment_size, + norm=request.norm, + output_name=request.output_name, + ) + + +@router.post("/rebin") +async def rebin_spectrum( + request: RebinSpectrumRequest, + service: SpectrumService = Depends(get_spectrum_service), +): + """Rebin a spectrum.""" + return service.rebin_spectrum( + name=request.name, + rebin_factor=request.rebin_factor, + log=request.log, + output_name=request.output_name, + ) + + +@router.get("/") +async def list_spectra( + service: SpectrumService = Depends(get_spectrum_service), +): + """List all loaded spectra.""" + return service.list_spectra() + + +@router.delete("/{name}") +async def delete_spectrum( + name: str, + service: SpectrumService = Depends(get_spectrum_service), +): + """Delete a spectrum from state.""" + return service.delete_spectrum(name) diff --git a/python-backend/routes/timing_routes.py b/python-backend/routes/timing_routes.py new file mode 100644 index 0000000..8140c14 --- /dev/null +++ b/python-backend/routes/timing_routes.py @@ -0,0 +1,118 @@ +""" +API routes for timing analysis operations. +""" + +from typing import Dict, Optional, Tuple + +from fastapi import APIRouter, Depends, Request +from pydantic import BaseModel + +from services.timing_service import TimingService + +router = APIRouter() + + +def get_timing_service(request: Request) -> TimingService: + """Get TimingService instance from app state.""" + return TimingService( + state_manager=request.app.state.state_manager, + performance_monitor=request.app.state.performance_monitor, + ) + + +# Request Models +class CreateBispectrumRequest(BaseModel): + event_list_name: str + dt: float + maxlag: int = 25 + scale: str = "unbiased" + window: str = "uniform" + output_name: Optional[str] = None + + +class CalculatePowerColorsRequest(BaseModel): + event_list_name: str + dt: float + segment_size: float + freq_ranges: Dict[str, Tuple[float, float]] + output_name: Optional[str] = None + + +class CalculateTimeLagsRequest(BaseModel): + event_list_1_name: str + event_list_2_name: str + dt: float + segment_size: float + freq_range: Optional[Tuple[float, float]] = None + output_name: Optional[str] = None + + +class CalculateCoherenceRequest(BaseModel): + event_list_1_name: str + event_list_2_name: str + dt: float + segment_size: float + output_name: Optional[str] = None + + +# Routes +@router.post("/bispectrum") +async def create_bispectrum( + request: CreateBispectrumRequest, + service: TimingService = Depends(get_timing_service), +): + """Create a bispectrum from an EventList.""" + return service.create_bispectrum( + event_list_name=request.event_list_name, + dt=request.dt, + maxlag=request.maxlag, + scale=request.scale, + window=request.window, + output_name=request.output_name, + ) + + +@router.post("/power-colors") +async def calculate_power_colors( + request: CalculatePowerColorsRequest, + service: TimingService = Depends(get_timing_service), +): + """Calculate power colors from frequency bands.""" + return service.calculate_power_colors( + event_list_name=request.event_list_name, + dt=request.dt, + segment_size=request.segment_size, + freq_ranges=request.freq_ranges, + output_name=request.output_name, + ) + + +@router.post("/time-lags") +async def calculate_time_lags( + request: CalculateTimeLagsRequest, + service: TimingService = Depends(get_timing_service), +): + """Calculate time lags between two event lists.""" + return service.calculate_time_lags( + event_list_1_name=request.event_list_1_name, + event_list_2_name=request.event_list_2_name, + dt=request.dt, + segment_size=request.segment_size, + freq_range=request.freq_range, + output_name=request.output_name, + ) + + +@router.post("/coherence") +async def calculate_coherence( + request: CalculateCoherenceRequest, + service: TimingService = Depends(get_timing_service), +): + """Calculate coherence between two event lists.""" + return service.calculate_coherence( + event_list_1_name=request.event_list_1_name, + event_list_2_name=request.event_list_2_name, + dt=request.dt, + segment_size=request.segment_size, + output_name=request.output_name, + ) diff --git a/python-backend/services/__init__.py b/python-backend/services/__init__.py new file mode 100644 index 0000000..1309c2a --- /dev/null +++ b/python-backend/services/__init__.py @@ -0,0 +1,17 @@ +"""Services for Stingray Explorer backend.""" + +from .state_manager import StateManager +from .data_service import DataService +from .lightcurve_service import LightcurveService +from .spectrum_service import SpectrumService +from .timing_service import TimingService +from .export_service import ExportService + +__all__ = [ + "StateManager", + "DataService", + "LightcurveService", + "SpectrumService", + "TimingService", + "ExportService", +] diff --git a/python-backend/services/base_service.py b/python-backend/services/base_service.py new file mode 100644 index 0000000..b8bca70 --- /dev/null +++ b/python-backend/services/base_service.py @@ -0,0 +1,98 @@ +""" +Base service class for Stingray Explorer backend. + +Provides common functionality for all services. +""" + +from typing import Any, Dict, Optional + +from .state_manager import StateManager +from utils.error_handler import ErrorHandler +from utils.performance_monitor import PerformanceMonitor + + +class BaseService: + """ + Base class for all services in the Stingray Explorer backend. + + Provides: + - Access to StateManager for data persistence + - Access to ErrorHandler for consistent error handling + - Standard result format for all service methods + """ + + def __init__( + self, + state_manager: StateManager, + performance_monitor: Optional[PerformanceMonitor] = None, + ): + """ + Initialize the base service. + + Args: + state_manager: The application state manager instance + performance_monitor: Optional performance monitor instance + """ + self.state = state_manager + self.error_handler = ErrorHandler + self.performance_monitor = performance_monitor + + def create_result( + self, + success: bool, + data: Any = None, + message: str = "", + error: Optional[str] = None, + **kwargs: Any, + ) -> Dict[str, Any]: + """ + Create a standardized result dictionary. + + All service methods should return results in this format. + + Args: + success: Whether the operation succeeded + data: The result data + message: User-friendly message + error: Technical error message + **kwargs: Additional fields to include + + Returns: + Standardized result dictionary + """ + result: Dict[str, Any] = { + "success": success, + "data": data, + "message": message, + "error": error, + } + result.update(kwargs) + return result + + def handle_error( + self, + exception: Exception, + context: str, + **context_data: Any, + ) -> Dict[str, Any]: + """ + Handle an exception and return a standardized error result. + + Args: + exception: The exception that occurred + context: Description of the operation that failed + **context_data: Additional context data + + Returns: + Error result dictionary + """ + user_msg, tech_msg = self.error_handler.handle_error( + exception, context=context, **context_data + ) + + return self.create_result( + success=False, + data=None, + message=user_msg, + error=tech_msg, + ) diff --git a/python-backend/services/data_service.py b/python-backend/services/data_service.py new file mode 100644 index 0000000..00e2789 --- /dev/null +++ b/python-backend/services/data_service.py @@ -0,0 +1,325 @@ +""" +Data service for EventList operations. + +Handles loading, saving, and managing event lists. +""" + +import os +import tempfile +from typing import Any, Dict, List, Optional + +import requests +from stingray import EventList + +from .base_service import BaseService + + +class DataService(BaseService): + """ + Service for EventList data operations. + + Handles loading, saving, and managing event lists without any UI dependencies. + """ + + def load_event_list( + self, + file_path: str, + name: str, + fmt: str = "ogip", + rmf_file: Optional[str] = None, + additional_columns: Optional[List[str]] = None, + ) -> Dict[str, Any]: + """ + Load an EventList from a file. + + Args: + file_path: Path to the event file + name: Name to assign to the loaded event list + fmt: File format (ogip, hdf5, hea, etc.) + rmf_file: Optional path to RMF file + additional_columns: Optional list of additional columns to read + + Returns: + Result dictionary with the EventList data + """ + try: + # Validate the name doesn't already exist + if self.state.has_event_data(name): + return self.create_result( + success=False, + data=None, + message=f"An event list with the name '{name}' already exists.", + error=None, + ) + + # Load the event list using Stingray + event_list = EventList.read( + file_path, + fmt=fmt, + rmf_file=rmf_file, + additional_columns=additional_columns, + ) + + # Add to state manager + self.state.add_event_data(name, event_list) + + # Prepare serializable summary + summary = { + "name": name, + "n_events": len(event_list.time), + "time_range": [float(event_list.time[0]), float(event_list.time[-1])], + "has_energy": event_list.energy is not None, + "has_pi": event_list.pi is not None, + "gti_count": len(event_list.gti) if event_list.gti is not None else 0, + } + + return self.create_result( + success=True, + data=summary, + message=f"EventList '{name}' loaded successfully ({len(event_list.time)} events)", + ) + + except Exception as e: + return self.handle_error( + e, "Loading event list", file_path=file_path, name=name, fmt=fmt + ) + + def load_event_list_from_url( + self, + url: str, + name: str, + fmt: str = "ogip", + ) -> Dict[str, Any]: + """ + Load an EventList from a URL. + + Args: + url: URL to download the event file from + name: Name to assign to the loaded event list + fmt: File format + + Returns: + Result dictionary + """ + try: + # Validate the name doesn't already exist + if self.state.has_event_data(name): + return self.create_result( + success=False, + data=None, + message=f"An event list with the name '{name}' already exists.", + error=None, + ) + + # Download file to temporary location + response = requests.get(url, stream=True, timeout=30) + response.raise_for_status() + + # Create temporary file + with tempfile.NamedTemporaryFile(delete=False, suffix=f".{fmt}") as tmp_file: + for chunk in response.iter_content(chunk_size=1024): + if chunk: + tmp_file.write(chunk) + temp_filename = tmp_file.name + + # Load the event list + event_list = EventList.read(temp_filename, fmt) + + # Clean up temporary file + os.remove(temp_filename) + + # Add to state manager + self.state.add_event_data(name, event_list) + + summary = { + "name": name, + "n_events": len(event_list.time), + "time_range": [float(event_list.time[0]), float(event_list.time[-1])], + } + + return self.create_result( + success=True, + data=summary, + message=f"EventList '{name}' loaded successfully from URL", + ) + + except requests.RequestException as e: + return self.create_result( + success=False, + data=None, + message=f"Failed to download file from URL: {str(e)}", + error=str(e), + ) + except Exception as e: + return self.handle_error( + e, "Loading event list from URL", url=url, name=name, fmt=fmt + ) + + def save_event_list( + self, + name: str, + file_path: str, + fmt: str = "ogip", + ) -> Dict[str, Any]: + """ + Save an EventList to disk. + + Args: + name: Name of the event list in state + file_path: Path where to save the file + fmt: File format to save as + + Returns: + Result dictionary + """ + try: + if not self.state.has_event_data(name): + return self.create_result( + success=False, + data=None, + message=f"No event list found with name '{name}'", + error=None, + ) + + event_list = self.state.get_event_data(name) + + # Ensure directory exists + os.makedirs(os.path.dirname(file_path), exist_ok=True) + + # Save based on format + if fmt == "hdf5": + event_list.to_astropy_table().write( + file_path, format=fmt, path="data" + ) + else: + event_list.write(file_path, fmt) + + return self.create_result( + success=True, + data={"file_path": file_path}, + message=f"EventList '{name}' saved to '{file_path}'", + ) + + except Exception as e: + return self.handle_error( + e, "Saving event list", name=name, file_path=file_path, fmt=fmt + ) + + def delete_event_list(self, name: str) -> Dict[str, Any]: + """Delete an EventList from state.""" + try: + if not self.state.has_event_data(name): + return self.create_result( + success=False, + data=None, + message=f"No event list found with name '{name}'", + error=None, + ) + + self.state.remove_event_data(name) + + return self.create_result( + success=True, + data={"name": name}, + message=f"EventList '{name}' deleted successfully", + ) + + except Exception as e: + return self.handle_error(e, "Deleting event list", name=name) + + def get_event_list_info(self, name: str) -> Dict[str, Any]: + """ + Get information about an EventList. + + Args: + name: Name of the event list + + Returns: + Result dictionary with event list information + """ + try: + if not self.state.has_event_data(name): + return self.create_result( + success=False, + data=None, + message=f"No event list found with name '{name}'", + error=None, + ) + + event_list = self.state.get_event_data(name) + + info = { + "name": name, + "n_events": len(event_list.time), + "time_range": [float(event_list.time[0]), float(event_list.time[-1])], + "duration": float(event_list.time[-1] - event_list.time[0]), + "has_energy": event_list.energy is not None, + "has_pi": event_list.pi is not None, + "gti_count": len(event_list.gti) if event_list.gti is not None else 0, + "mjdref": float(event_list.mjdref) if event_list.mjdref else None, + } + + return self.create_result( + success=True, + data=info, + message=f"EventList '{name}' info retrieved", + ) + + except Exception as e: + return self.handle_error(e, "Getting event list info", name=name) + + def list_event_lists(self) -> Dict[str, Any]: + """List all loaded EventLists.""" + try: + event_data = self.state.get_event_data() + + summaries = [] + for name, event_list in event_data: + summaries.append({ + "name": name, + "n_events": len(event_list.time), + "time_range": [float(event_list.time[0]), float(event_list.time[-1])], + }) + + return self.create_result( + success=True, + data=summaries, + message=f"Found {len(summaries)} event list(s)", + ) + + except Exception as e: + return self.handle_error(e, "Listing event lists") + + def check_file_size(self, file_path: str) -> Dict[str, Any]: + """Check file size and provide loading recommendations.""" + try: + file_size = os.path.getsize(file_path) + file_size_mb = file_size / (1024**2) + file_size_gb = file_size / (1024**3) + + # Determine risk level + if file_size_gb > 10: + risk_level = "critical" + elif file_size_gb > 5: + risk_level = "risky" + elif file_size_gb > 1: + risk_level = "caution" + else: + risk_level = "safe" + + recommend_lazy = file_size_gb > 1.0 or risk_level in ["caution", "risky", "critical"] + + return self.create_result( + success=True, + data={ + "file_size_bytes": file_size, + "file_size_mb": file_size_mb, + "file_size_gb": file_size_gb, + "risk_level": risk_level, + "recommend_lazy": recommend_lazy, + }, + message=f"File size: {file_size_mb:.2f} MB, Risk: {risk_level}", + ) + + except Exception as e: + return self.handle_error(e, "Checking file size", file_path=file_path) diff --git a/python-backend/services/export_service.py b/python-backend/services/export_service.py new file mode 100644 index 0000000..27f3362 --- /dev/null +++ b/python-backend/services/export_service.py @@ -0,0 +1,355 @@ +""" +Export service for data export operations. + +Handles exporting data to various formats. +""" + +import os +from typing import Any, Dict + +import numpy as np +import pandas as pd + +from .base_service import BaseService + + +class ExportService(BaseService): + """ + Service for data export operations. + + Handles conversion and export of astronomical data. + """ + + def export_event_list_to_csv( + self, + name: str, + file_path: str, + ) -> Dict[str, Any]: + """ + Export an EventList to CSV file. + + Args: + name: Name of the event list in state + file_path: Path where to save the CSV file + + Returns: + Result dictionary + """ + try: + if not self.state.has_event_data(name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{name}' not found", + error=None, + ) + + event_list = self.state.get_event_data(name) + + # Create DataFrame + data = {"time": event_list.time} + if event_list.energy is not None: + data["energy"] = event_list.energy + if event_list.pi is not None: + data["pi"] = event_list.pi + + df = pd.DataFrame(data) + + # Ensure directory exists + os.makedirs(os.path.dirname(file_path), exist_ok=True) + + # Save to CSV + df.to_csv(file_path, index=False) + + return self.create_result( + success=True, + data={"file_path": file_path, "n_rows": len(df)}, + message=f"EventList exported to '{file_path}'", + ) + + except Exception as e: + return self.handle_error( + e, "Exporting event list to CSV", name=name, file_path=file_path + ) + + def export_lightcurve_to_csv( + self, + name: str, + file_path: str, + ) -> Dict[str, Any]: + """ + Export a Lightcurve to CSV file. + + Args: + name: Name of the lightcurve in state + file_path: Path where to save the CSV file + + Returns: + Result dictionary + """ + try: + if not self.state.has_lightcurve_data(name): + return self.create_result( + success=False, + data=None, + message=f"Lightcurve '{name}' not found", + error=None, + ) + + lightcurve = self.state.get_lightcurve_data(name) + + df = pd.DataFrame({ + "time": lightcurve.time, + "counts": lightcurve.counts, + }) + + os.makedirs(os.path.dirname(file_path), exist_ok=True) + df.to_csv(file_path, index=False) + + return self.create_result( + success=True, + data={"file_path": file_path, "n_rows": len(df)}, + message=f"Lightcurve exported to '{file_path}'", + ) + + except Exception as e: + return self.handle_error( + e, "Exporting lightcurve to CSV", name=name, file_path=file_path + ) + + def export_power_spectrum_to_csv( + self, + name: str, + file_path: str, + ) -> Dict[str, Any]: + """ + Export a power spectrum to CSV file. + + Args: + name: Name of the spectrum in state + file_path: Path where to save the CSV file + + Returns: + Result dictionary + """ + try: + if not self.state.has_spectrum_data(name): + return self.create_result( + success=False, + data=None, + message=f"Spectrum '{name}' not found", + error=None, + ) + + spectrum = self.state.get_spectrum_data(name) + + df = pd.DataFrame({ + "frequency": spectrum.freq, + "power": spectrum.power, + }) + + os.makedirs(os.path.dirname(file_path), exist_ok=True) + df.to_csv(file_path, index=False) + + return self.create_result( + success=True, + data={"file_path": file_path, "n_rows": len(df)}, + message=f"Spectrum exported to '{file_path}'", + ) + + except Exception as e: + return self.handle_error( + e, "Exporting spectrum to CSV", name=name, file_path=file_path + ) + + def export_bispectrum_to_csv( + self, + name: str, + file_path: str, + ) -> Dict[str, Any]: + """ + Export a bispectrum to CSV file. + + Args: + name: Name of the bispectrum in state + file_path: Path where to save the CSV file + + Returns: + Result dictionary + """ + try: + bispectrum = self.state.get_analysis_result(name) + + if bispectrum is None: + return self.create_result( + success=False, + data=None, + message=f"Bispectrum '{name}' not found", + error=None, + ) + + # Create flattened DataFrame for 2D bispectrum data + freq_grid, lags_grid = np.meshgrid( + bispectrum.freq, bispectrum.lags + ) + + df = pd.DataFrame({ + "frequency": freq_grid.flatten(), + "lags": lags_grid.flatten(), + "cum3": bispectrum.cum3.flatten(), + "magnitude": bispectrum.bispec_mag.flatten(), + "phase": bispectrum.bispec_phase.flatten(), + }) + + os.makedirs(os.path.dirname(file_path), exist_ok=True) + df.to_csv(file_path, index=False) + + return self.create_result( + success=True, + data={"file_path": file_path, "n_rows": len(df)}, + message=f"Bispectrum exported to '{file_path}'", + ) + + except Exception as e: + return self.handle_error( + e, "Exporting bispectrum to CSV", name=name, file_path=file_path + ) + + def export_to_hdf5( + self, + name: str, + file_path: str, + data_type: str = "event_list", + ) -> Dict[str, Any]: + """ + Export data to HDF5 file. + + Args: + name: Name of the data in state + file_path: Path where to save the HDF5 file + data_type: Type of data ("event_list", "lightcurve", "spectrum") + + Returns: + Result dictionary + """ + try: + if data_type == "event_list": + if not self.state.has_event_data(name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{name}' not found", + error=None, + ) + data = self.state.get_event_data(name) + table = data.to_astropy_table() + + elif data_type == "lightcurve": + if not self.state.has_lightcurve_data(name): + return self.create_result( + success=False, + data=None, + message=f"Lightcurve '{name}' not found", + error=None, + ) + data = self.state.get_lightcurve_data(name) + # Convert lightcurve to table + from astropy.table import Table + table = Table({ + "time": data.time, + "counts": data.counts, + }) + + elif data_type == "spectrum": + if not self.state.has_spectrum_data(name): + return self.create_result( + success=False, + data=None, + message=f"Spectrum '{name}' not found", + error=None, + ) + data = self.state.get_spectrum_data(name) + from astropy.table import Table + table = Table({ + "frequency": data.freq, + "power": data.power, + }) + + else: + return self.create_result( + success=False, + data=None, + message=f"Unknown data type: {data_type}", + error=None, + ) + + os.makedirs(os.path.dirname(file_path), exist_ok=True) + table.write(file_path, format="hdf5", path="data", overwrite=True) + + return self.create_result( + success=True, + data={"file_path": file_path}, + message=f"Data exported to HDF5: '{file_path}'", + ) + + except Exception as e: + return self.handle_error( + e, + "Exporting to HDF5", + name=name, + file_path=file_path, + data_type=data_type, + ) + + def export_to_fits( + self, + name: str, + file_path: str, + data_type: str = "event_list", + ) -> Dict[str, Any]: + """ + Export data to FITS file. + + Args: + name: Name of the data in state + file_path: Path where to save the FITS file + data_type: Type of data + + Returns: + Result dictionary + """ + try: + if data_type == "event_list": + if not self.state.has_event_data(name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{name}' not found", + error=None, + ) + data = self.state.get_event_data(name) + os.makedirs(os.path.dirname(file_path), exist_ok=True) + data.write(file_path, fmt="ogip") + + else: + return self.create_result( + success=False, + data=None, + message=f"FITS export not supported for {data_type}", + error=None, + ) + + return self.create_result( + success=True, + data={"file_path": file_path}, + message=f"Data exported to FITS: '{file_path}'", + ) + + except Exception as e: + return self.handle_error( + e, + "Exporting to FITS", + name=name, + file_path=file_path, + data_type=data_type, + ) diff --git a/python-backend/services/lightcurve_service.py b/python-backend/services/lightcurve_service.py new file mode 100644 index 0000000..b470be6 --- /dev/null +++ b/python-backend/services/lightcurve_service.py @@ -0,0 +1,269 @@ +""" +Lightcurve service for lightcurve operations. + +Handles creation and manipulation of lightcurves. +""" + +from typing import Any, Dict, List, Optional + +import numpy as np +from stingray import EventList, Lightcurve + +from .base_service import BaseService + + +class LightcurveService(BaseService): + """ + Service for Lightcurve operations. + + Handles creation and manipulation of lightcurves without any UI dependencies. + """ + + def create_lightcurve_from_event_list( + self, + event_list_name: str, + dt: float, + output_name: str, + gti: Optional[List[List[float]]] = None, + ) -> Dict[str, Any]: + """ + Create a Lightcurve from an EventList. + + Args: + event_list_name: Name of the EventList in state + dt: Time binning in seconds + output_name: Name to save the lightcurve as + gti: Optional Good Time Intervals + + Returns: + Result dictionary with lightcurve data + """ + try: + if not self.state.has_event_data(event_list_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_name}' not found", + error=None, + ) + + event_list = self.state.get_event_data(event_list_name) + + # Create lightcurve from event list + lc = event_list.to_lc(dt=dt) + + # Apply GTIs if provided + if gti is not None: + gti_array = np.array(gti) + lc = lc.apply_gtis(gti_array) + + # Save to state + self.state.add_lightcurve_data(output_name, lc) + + # Prepare response data + lc_data = { + "name": output_name, + "time": lc.time.tolist(), + "counts": lc.counts.tolist(), + "dt": float(lc.dt), + "n_bins": len(lc.time), + "time_range": [float(lc.time[0]), float(lc.time[-1])], + "count_rate_mean": float(np.mean(lc.counts / lc.dt)), + } + + return self.create_result( + success=True, + data=lc_data, + message=f"Lightcurve '{output_name}' created (dt={dt}s, {len(lc.time)} bins)", + ) + + except Exception as e: + return self.handle_error( + e, "Creating lightcurve", event_list=event_list_name, dt=dt + ) + + def create_lightcurve_from_arrays( + self, + times: List[float], + counts: List[float], + dt: float, + output_name: str, + ) -> Dict[str, Any]: + """ + Create a Lightcurve from time and count arrays. + + Args: + times: Array of time values + counts: Array of count values + dt: Time binning in seconds + output_name: Name to save the lightcurve as + + Returns: + Result dictionary with lightcurve data + """ + try: + times_arr = np.array(times) + counts_arr = np.array(counts) + + lc = Lightcurve(times_arr, counts_arr, dt=dt, skip_checks=True) + + # Save to state + self.state.add_lightcurve_data(output_name, lc) + + lc_data = { + "name": output_name, + "time": lc.time.tolist(), + "counts": lc.counts.tolist(), + "dt": float(lc.dt), + "n_bins": len(lc.time), + } + + return self.create_result( + success=True, + data=lc_data, + message=f"Lightcurve '{output_name}' created from arrays", + ) + + except Exception as e: + return self.handle_error(e, "Creating lightcurve from arrays", dt=dt) + + def rebin_lightcurve( + self, + name: str, + rebin_factor: float, + output_name: str, + ) -> Dict[str, Any]: + """ + Rebin a lightcurve. + + Args: + name: Name of the lightcurve to rebin + rebin_factor: Rebinning factor + output_name: Name for the rebinned lightcurve + + Returns: + Result dictionary with rebinned lightcurve data + """ + try: + if not self.state.has_lightcurve_data(name): + return self.create_result( + success=False, + data=None, + message=f"Lightcurve '{name}' not found", + error=None, + ) + + lightcurve = self.state.get_lightcurve_data(name) + rebinned_lc = lightcurve.rebin(rebin_factor) + + # Save to state + self.state.add_lightcurve_data(output_name, rebinned_lc) + + lc_data = { + "name": output_name, + "time": rebinned_lc.time.tolist(), + "counts": rebinned_lc.counts.tolist(), + "dt": float(rebinned_lc.dt), + "n_bins": len(rebinned_lc.time), + } + + return self.create_result( + success=True, + data=lc_data, + message=f"Lightcurve rebinned (factor={rebin_factor})", + ) + + except Exception as e: + return self.handle_error( + e, "Rebinning lightcurve", name=name, rebin_factor=rebin_factor + ) + + def get_lightcurve_data(self, name: str) -> Dict[str, Any]: + """ + Get lightcurve data for plotting. + + Args: + name: Name of the lightcurve + + Returns: + Result dictionary with lightcurve data + """ + try: + if not self.state.has_lightcurve_data(name): + return self.create_result( + success=False, + data=None, + message=f"Lightcurve '{name}' not found", + error=None, + ) + + lc = self.state.get_lightcurve_data(name) + + lc_data = { + "name": name, + "time": lc.time.tolist(), + "counts": lc.counts.tolist(), + "dt": float(lc.dt), + "n_bins": len(lc.time), + "time_range": [float(lc.time[0]), float(lc.time[-1])], + "count_stats": { + "mean": float(np.mean(lc.counts)), + "std": float(np.std(lc.counts)), + "min": float(np.min(lc.counts)), + "max": float(np.max(lc.counts)), + }, + } + + return self.create_result( + success=True, + data=lc_data, + message=f"Lightcurve '{name}' data retrieved", + ) + + except Exception as e: + return self.handle_error(e, "Getting lightcurve data", name=name) + + def list_lightcurves(self) -> Dict[str, Any]: + """List all loaded lightcurves.""" + try: + lc_data = self.state.get_lightcurve_data() + + summaries = [] + for name, lc in lc_data: + summaries.append({ + "name": name, + "n_bins": len(lc.time), + "dt": float(lc.dt), + "time_range": [float(lc.time[0]), float(lc.time[-1])], + }) + + return self.create_result( + success=True, + data=summaries, + message=f"Found {len(summaries)} lightcurve(s)", + ) + + except Exception as e: + return self.handle_error(e, "Listing lightcurves") + + def delete_lightcurve(self, name: str) -> Dict[str, Any]: + """Delete a lightcurve from state.""" + try: + if not self.state.has_lightcurve_data(name): + return self.create_result( + success=False, + data=None, + message=f"Lightcurve '{name}' not found", + error=None, + ) + + self.state.remove_lightcurve_data(name) + + return self.create_result( + success=True, + data={"name": name}, + message=f"Lightcurve '{name}' deleted", + ) + + except Exception as e: + return self.handle_error(e, "Deleting lightcurve", name=name) diff --git a/python-backend/services/spectrum_service.py b/python-backend/services/spectrum_service.py new file mode 100644 index 0000000..2ba821a --- /dev/null +++ b/python-backend/services/spectrum_service.py @@ -0,0 +1,470 @@ +""" +Spectrum service for spectral analysis operations. + +Handles power spectrum, cross spectrum, and dynamical power spectrum operations. +""" + +from typing import Any, Dict, Optional + +import numpy as np +from stingray import ( + AveragedCrossspectrum, + AveragedPowerspectrum, + Crossspectrum, + DynamicalPowerspectrum, + Powerspectrum, +) + +from .base_service import BaseService + + +class SpectrumService(BaseService): + """ + Service for spectral analysis operations. + + Handles power spectrum, cross spectrum, and dynamical power spectrum. + """ + + def create_power_spectrum( + self, + event_list_name: str, + dt: float, + norm: str = "leahy", + output_name: Optional[str] = None, + ) -> Dict[str, Any]: + """ + Create a power spectrum from an EventList. + + Args: + event_list_name: Name of the EventList in state + dt: Time binning in seconds + norm: Normalization type ("leahy", "frac", "abs", "none") + output_name: Optional name to save the spectrum + + Returns: + Result dictionary with power spectrum data + """ + try: + if not self.state.has_event_data(event_list_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_name}' not found", + error=None, + ) + + event_list = self.state.get_event_data(event_list_name) + lc = event_list.to_lc(dt=dt) + ps = Powerspectrum(lc, norm=norm) + + # Save if name provided + if output_name: + self.state.add_spectrum_data(output_name, ps) + + ps_data = { + "name": output_name, + "freq": ps.freq.tolist(), + "power": ps.power.tolist(), + "norm": norm, + "n_freq": len(ps.freq), + "df": float(ps.df), + "freq_range": [float(ps.freq[0]), float(ps.freq[-1])], + } + + return self.create_result( + success=True, + data=ps_data, + message=f"Power spectrum created (dt={dt}s, norm={norm})", + ) + + except Exception as e: + return self.handle_error( + e, "Creating power spectrum", event_list=event_list_name, dt=dt, norm=norm + ) + + def create_averaged_power_spectrum( + self, + event_list_name: str, + dt: float, + segment_size: float, + norm: str = "leahy", + output_name: Optional[str] = None, + ) -> Dict[str, Any]: + """ + Create an averaged power spectrum from an EventList. + + Args: + event_list_name: Name of the EventList in state + dt: Time binning in seconds + segment_size: Segment size in seconds for averaging + norm: Normalization type + output_name: Optional name to save the spectrum + + Returns: + Result dictionary with averaged power spectrum data + """ + try: + if not self.state.has_event_data(event_list_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_name}' not found", + error=None, + ) + + event_list = self.state.get_event_data(event_list_name) + lc = event_list.to_lc(dt=dt) + ps = AveragedPowerspectrum.from_lightcurve(lc, segment_size, norm=norm) + + if output_name: + self.state.add_spectrum_data(output_name, ps) + + ps_data = { + "name": output_name, + "freq": ps.freq.tolist(), + "power": ps.power.tolist(), + "norm": norm, + "n_freq": len(ps.freq), + "df": float(ps.df), + "segment_size": segment_size, + "n_segments": int(ps.m) if hasattr(ps, "m") else None, + } + + return self.create_result( + success=True, + data=ps_data, + message=f"Averaged power spectrum created (segment={segment_size}s)", + ) + + except Exception as e: + return self.handle_error( + e, + "Creating averaged power spectrum", + event_list=event_list_name, + dt=dt, + segment_size=segment_size, + norm=norm, + ) + + def create_cross_spectrum( + self, + event_list_1_name: str, + event_list_2_name: str, + dt: float, + norm: str = "leahy", + output_name: Optional[str] = None, + ) -> Dict[str, Any]: + """ + Create a cross spectrum from two EventLists. + + Args: + event_list_1_name: Name of first EventList + event_list_2_name: Name of second EventList + dt: Time binning in seconds + norm: Normalization type + output_name: Optional name to save the spectrum + + Returns: + Result dictionary with cross spectrum data + """ + try: + if not self.state.has_event_data(event_list_1_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_1_name}' not found", + error=None, + ) + + if not self.state.has_event_data(event_list_2_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_2_name}' not found", + error=None, + ) + + event_list_1 = self.state.get_event_data(event_list_1_name) + event_list_2 = self.state.get_event_data(event_list_2_name) + + cs = Crossspectrum.from_events( + events1=event_list_1, + events2=event_list_2, + dt=dt, + norm=norm, + ) + + if output_name: + self.state.add_spectrum_data(output_name, cs) + + cs_data = { + "name": output_name, + "freq": cs.freq.tolist(), + "power": cs.power.tolist(), + "norm": norm, + "n_freq": len(cs.freq), + "df": float(cs.df), + } + + return self.create_result( + success=True, + data=cs_data, + message=f"Cross spectrum created (dt={dt}s)", + ) + + except Exception as e: + return self.handle_error( + e, + "Creating cross spectrum", + event_list_1=event_list_1_name, + event_list_2=event_list_2_name, + dt=dt, + norm=norm, + ) + + def create_averaged_cross_spectrum( + self, + event_list_1_name: str, + event_list_2_name: str, + dt: float, + segment_size: float, + norm: str = "leahy", + output_name: Optional[str] = None, + ) -> Dict[str, Any]: + """ + Create an averaged cross spectrum from two EventLists. + + Args: + event_list_1_name: Name of first EventList + event_list_2_name: Name of second EventList + dt: Time binning in seconds + segment_size: Segment size in seconds + norm: Normalization type + output_name: Optional name to save the spectrum + + Returns: + Result dictionary with averaged cross spectrum data + """ + try: + if not self.state.has_event_data(event_list_1_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_1_name}' not found", + error=None, + ) + + if not self.state.has_event_data(event_list_2_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_2_name}' not found", + error=None, + ) + + event_list_1 = self.state.get_event_data(event_list_1_name) + event_list_2 = self.state.get_event_data(event_list_2_name) + + lc1 = event_list_1.to_lc(dt=dt) + lc2 = event_list_2.to_lc(dt=dt) + + cs = AveragedCrossspectrum.from_lightcurve( + lc1=lc1, + lc2=lc2, + segment_size=segment_size, + norm=norm, + ) + + if output_name: + self.state.add_spectrum_data(output_name, cs) + + cs_data = { + "name": output_name, + "freq": cs.freq.tolist(), + "power": cs.power.tolist(), + "norm": norm, + "n_freq": len(cs.freq), + "df": float(cs.df), + "segment_size": segment_size, + } + + return self.create_result( + success=True, + data=cs_data, + message=f"Averaged cross spectrum created (segment={segment_size}s)", + ) + + except Exception as e: + return self.handle_error( + e, + "Creating averaged cross spectrum", + event_list_1=event_list_1_name, + event_list_2=event_list_2_name, + dt=dt, + segment_size=segment_size, + norm=norm, + ) + + def create_dynamical_power_spectrum( + self, + event_list_name: str, + dt: float, + segment_size: float, + norm: str = "leahy", + output_name: Optional[str] = None, + ) -> Dict[str, Any]: + """ + Create a dynamical power spectrum from an EventList. + + Args: + event_list_name: Name of the EventList in state + dt: Time binning in seconds + segment_size: Segment size in seconds + norm: Normalization type + output_name: Optional name to save the spectrum + + Returns: + Result dictionary with dynamical power spectrum data + """ + try: + if not self.state.has_event_data(event_list_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_name}' not found", + error=None, + ) + + event_list = self.state.get_event_data(event_list_name) + lc = event_list.to_lc(dt=dt) + dps = DynamicalPowerspectrum(lc, segment_size=segment_size, norm=norm) + + if output_name: + self.state.add_spectrum_data(output_name, dps) + + dps_data = { + "name": output_name, + "freq": dps.freq.tolist(), + "time": dps.time.tolist(), + "dyn_ps": dps.dyn_ps.tolist(), + "norm": norm, + "segment_size": segment_size, + "shape": list(dps.dyn_ps.shape), + } + + return self.create_result( + success=True, + data=dps_data, + message=f"Dynamical power spectrum created (segment={segment_size}s)", + ) + + except Exception as e: + return self.handle_error( + e, + "Creating dynamical power spectrum", + event_list=event_list_name, + dt=dt, + segment_size=segment_size, + norm=norm, + ) + + def rebin_spectrum( + self, + name: str, + rebin_factor: float, + log: bool = False, + output_name: Optional[str] = None, + ) -> Dict[str, Any]: + """ + Rebin a spectrum. + + Args: + name: Name of the spectrum to rebin + rebin_factor: Rebinning factor + log: If True, use logarithmic rebinning + output_name: Optional name for rebinned spectrum + + Returns: + Result dictionary with rebinned spectrum data + """ + try: + if not self.state.has_spectrum_data(name): + return self.create_result( + success=False, + data=None, + message=f"Spectrum '{name}' not found", + error=None, + ) + + spectrum = self.state.get_spectrum_data(name) + + if log: + rebinned = spectrum.rebin_log(rebin_factor) + else: + rebinned = spectrum.rebin(rebin_factor) + + if output_name: + self.state.add_spectrum_data(output_name, rebinned) + + data = { + "name": output_name, + "freq": rebinned.freq.tolist(), + "power": rebinned.power.tolist(), + "n_freq": len(rebinned.freq), + } + + return self.create_result( + success=True, + data=data, + message=f"Spectrum rebinned ({'log' if log else 'linear'}, factor={rebin_factor})", + ) + + except Exception as e: + return self.handle_error( + e, "Rebinning spectrum", name=name, rebin_factor=rebin_factor, log=log + ) + + def list_spectra(self) -> Dict[str, Any]: + """List all loaded spectra.""" + try: + spec_data = self.state.get_spectrum_data() + + summaries = [] + for name, spec in spec_data: + spec_type = type(spec).__name__ + summaries.append({ + "name": name, + "type": spec_type, + "n_freq": len(spec.freq) if hasattr(spec, "freq") else None, + }) + + return self.create_result( + success=True, + data=summaries, + message=f"Found {len(summaries)} spectrum/spectra", + ) + + except Exception as e: + return self.handle_error(e, "Listing spectra") + + def delete_spectrum(self, name: str) -> Dict[str, Any]: + """Delete a spectrum from state.""" + try: + if not self.state.has_spectrum_data(name): + return self.create_result( + success=False, + data=None, + message=f"Spectrum '{name}' not found", + error=None, + ) + + self.state.remove_spectrum_data(name) + + return self.create_result( + success=True, + data={"name": name}, + message=f"Spectrum '{name}' deleted", + ) + + except Exception as e: + return self.handle_error(e, "Deleting spectrum", name=name) diff --git a/python-backend/services/state_manager.py b/python-backend/services/state_manager.py new file mode 100644 index 0000000..69c6f5f --- /dev/null +++ b/python-backend/services/state_manager.py @@ -0,0 +1,194 @@ +""" +State management for Stingray Explorer backend. + +Manages loaded data including EventLists, Lightcurves, and analysis results. +""" + +from typing import Any, Dict, List, Optional, Tuple +import threading + + +class StateManager: + """ + Thread-safe state manager for Stingray Explorer. + + Manages the application state including loaded event lists, + lightcurves, and analysis results. + """ + + def __init__(self): + """Initialize the state manager.""" + self._event_data: Dict[str, Any] = {} + self._lightcurve_data: Dict[str, Any] = {} + self._spectrum_data: Dict[str, Any] = {} + self._analysis_results: Dict[str, Any] = {} + self._lock = threading.RLock() + + # Event data methods + def add_event_data(self, name: str, event_list: Any) -> None: + """ + Add an event list to state. + + Args: + name: Unique name for the event list + event_list: Stingray EventList object + """ + with self._lock: + self._event_data[name] = event_list + + def get_event_data(self, name: Optional[str] = None) -> Any: + """ + Get event list(s) from state. + + Args: + name: Name of specific event list, or None for all + + Returns: + Single EventList if name provided, otherwise list of (name, event_list) tuples + """ + with self._lock: + if name is not None: + return self._event_data.get(name) + return list(self._event_data.items()) + + def has_event_data(self, name: str) -> bool: + """Check if an event list with given name exists.""" + with self._lock: + return name in self._event_data + + def remove_event_data(self, name: str) -> bool: + """ + Remove an event list from state. + + Args: + name: Name of the event list to remove + + Returns: + True if removed, False if not found + """ + with self._lock: + if name in self._event_data: + del self._event_data[name] + return True + return False + + def list_event_names(self) -> List[str]: + """Get list of all event list names.""" + with self._lock: + return list(self._event_data.keys()) + + # Lightcurve data methods + def add_lightcurve_data(self, name: str, lightcurve: Any) -> None: + """ + Add a lightcurve to state. + + Args: + name: Unique name for the lightcurve + lightcurve: Stingray Lightcurve object + """ + with self._lock: + self._lightcurve_data[name] = lightcurve + + def get_lightcurve_data(self, name: Optional[str] = None) -> Any: + """ + Get lightcurve(s) from state. + + Args: + name: Name of specific lightcurve, or None for all + + Returns: + Single Lightcurve if name provided, otherwise list of (name, lightcurve) tuples + """ + with self._lock: + if name is not None: + return self._lightcurve_data.get(name) + return list(self._lightcurve_data.items()) + + def has_lightcurve_data(self, name: str) -> bool: + """Check if a lightcurve with given name exists.""" + with self._lock: + return name in self._lightcurve_data + + def remove_lightcurve_data(self, name: str) -> bool: + """Remove a lightcurve from state.""" + with self._lock: + if name in self._lightcurve_data: + del self._lightcurve_data[name] + return True + return False + + def list_lightcurve_names(self) -> List[str]: + """Get list of all lightcurve names.""" + with self._lock: + return list(self._lightcurve_data.keys()) + + # Spectrum data methods + def add_spectrum_data(self, name: str, spectrum: Any) -> None: + """Add a spectrum to state.""" + with self._lock: + self._spectrum_data[name] = spectrum + + def get_spectrum_data(self, name: Optional[str] = None) -> Any: + """Get spectrum(s) from state.""" + with self._lock: + if name is not None: + return self._spectrum_data.get(name) + return list(self._spectrum_data.items()) + + def has_spectrum_data(self, name: str) -> bool: + """Check if a spectrum with given name exists.""" + with self._lock: + return name in self._spectrum_data + + def remove_spectrum_data(self, name: str) -> bool: + """Remove a spectrum from state.""" + with self._lock: + if name in self._spectrum_data: + del self._spectrum_data[name] + return True + return False + + def list_spectrum_names(self) -> List[str]: + """Get list of all spectrum names.""" + with self._lock: + return list(self._spectrum_data.keys()) + + # Analysis results methods + def add_analysis_result(self, name: str, result: Any) -> None: + """Add an analysis result to state.""" + with self._lock: + self._analysis_results[name] = result + + def get_analysis_result(self, name: Optional[str] = None) -> Any: + """Get analysis result(s) from state.""" + with self._lock: + if name is not None: + return self._analysis_results.get(name) + return list(self._analysis_results.items()) + + def remove_analysis_result(self, name: str) -> bool: + """Remove an analysis result from state.""" + with self._lock: + if name in self._analysis_results: + del self._analysis_results[name] + return True + return False + + # Utility methods + def clear_all(self) -> None: + """Clear all state data.""" + with self._lock: + self._event_data.clear() + self._lightcurve_data.clear() + self._spectrum_data.clear() + self._analysis_results.clear() + + def get_summary(self) -> Dict[str, int]: + """Get a summary of stored data counts.""" + with self._lock: + return { + "event_lists": len(self._event_data), + "lightcurves": len(self._lightcurve_data), + "spectra": len(self._spectrum_data), + "analysis_results": len(self._analysis_results), + } diff --git a/python-backend/services/timing_service.py b/python-backend/services/timing_service.py new file mode 100644 index 0000000..5f1e58c --- /dev/null +++ b/python-backend/services/timing_service.py @@ -0,0 +1,330 @@ +""" +Timing service for timing analysis operations. + +Handles bispectrum, power colors, and other timing analysis. +""" + +from typing import Any, Dict, Optional + +import numpy as np +from stingray import Bispectrum, DynamicalPowerspectrum + +from .base_service import BaseService + + +class TimingService(BaseService): + """ + Service for timing analysis operations. + + Handles bispectrum, power colors, and higher-order timing analysis. + """ + + def create_bispectrum( + self, + event_list_name: str, + dt: float, + maxlag: int = 25, + scale: str = "unbiased", + window: str = "uniform", + output_name: Optional[str] = None, + ) -> Dict[str, Any]: + """ + Create a bispectrum from an EventList. + + The bispectrum is used to detect non-linear interactions and + non-Gaussian features in the data. + + Args: + event_list_name: Name of the EventList in state + dt: Time binning in seconds + maxlag: Maximum lag for bispectrum calculation + scale: Scaling type ("biased" or "unbiased") + window: Window function type + output_name: Optional name to save the result + + Returns: + Result dictionary with bispectrum data + """ + try: + if not self.state.has_event_data(event_list_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_name}' not found", + error=None, + ) + + event_list = self.state.get_event_data(event_list_name) + lc = event_list.to_lc(dt=dt) + bs = Bispectrum(lc, maxlag=maxlag, scale=scale, window=window) + + if output_name: + self.state.add_analysis_result(output_name, bs) + + bs_data = { + "name": output_name, + "freq": bs.freq.tolist(), + "lags": bs.lags.tolist(), + "bispec_mag": bs.bispec_mag.tolist(), + "bispec_phase": bs.bispec_phase.tolist(), + "cum3": bs.cum3.tolist(), + "maxlag": maxlag, + "scale": scale, + "window": window, + } + + return self.create_result( + success=True, + data=bs_data, + message=f"Bispectrum created (maxlag={maxlag})", + ) + + except Exception as e: + return self.handle_error( + e, + "Creating bispectrum", + event_list=event_list_name, + dt=dt, + maxlag=maxlag, + ) + + def calculate_power_colors( + self, + event_list_name: str, + dt: float, + segment_size: float, + freq_ranges: Dict[str, tuple], + output_name: Optional[str] = None, + ) -> Dict[str, Any]: + """ + Calculate power colors from frequency bands. + + Power colors are ratios of integrated power in different frequency bands, + useful for source classification and state analysis. + + Args: + event_list_name: Name of the EventList in state + dt: Time binning in seconds + segment_size: Segment size in seconds + freq_ranges: Dictionary of frequency ranges + output_name: Optional name to save the result + + Returns: + Result dictionary with power colors + """ + try: + if not self.state.has_event_data(event_list_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_name}' not found", + error=None, + ) + + event_list = self.state.get_event_data(event_list_name) + lc = event_list.to_lc(dt=dt) + dps = DynamicalPowerspectrum(lc, segment_size=segment_size, norm="leahy") + + # Calculate integrated power in each frequency band + power_colors = {} + for band_name, (f_min, f_max) in freq_ranges.items(): + mask = (dps.freq >= f_min) & (dps.freq < f_max) + integrated_power = dps.dyn_ps[:, mask].mean(axis=1) + power_colors[band_name] = integrated_power.tolist() + + result_data = { + "name": output_name, + "power_colors": power_colors, + "time": dps.time.tolist(), + "freq_ranges": freq_ranges, + } + + if output_name: + self.state.add_analysis_result(output_name, result_data) + + return self.create_result( + success=True, + data=result_data, + message=f"Power colors calculated for {len(freq_ranges)} bands", + ) + + except Exception as e: + return self.handle_error( + e, + "Calculating power colors", + event_list=event_list_name, + dt=dt, + segment_size=segment_size, + ) + + def calculate_time_lags( + self, + event_list_1_name: str, + event_list_2_name: str, + dt: float, + segment_size: float, + freq_range: Optional[tuple] = None, + output_name: Optional[str] = None, + ) -> Dict[str, Any]: + """ + Calculate time lags between two event lists. + + Args: + event_list_1_name: Name of first EventList + event_list_2_name: Name of second EventList + dt: Time binning in seconds + segment_size: Segment size in seconds + freq_range: Optional frequency range to calculate lags for + output_name: Optional name to save the result + + Returns: + Result dictionary with time lags + """ + try: + if not self.state.has_event_data(event_list_1_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_1_name}' not found", + error=None, + ) + + if not self.state.has_event_data(event_list_2_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_2_name}' not found", + error=None, + ) + + from stingray import AveragedCrossspectrum + + event_list_1 = self.state.get_event_data(event_list_1_name) + event_list_2 = self.state.get_event_data(event_list_2_name) + + lc1 = event_list_1.to_lc(dt=dt) + lc2 = event_list_2.to_lc(dt=dt) + + cs = AveragedCrossspectrum.from_lightcurve( + lc1=lc1, + lc2=lc2, + segment_size=segment_size, + norm="leahy", + ) + + # Calculate time lags + freq = cs.freq + time_lags = np.angle(cs.unnorm_power) / (2 * np.pi * freq) + + # Filter by frequency range if provided + if freq_range: + mask = (freq >= freq_range[0]) & (freq <= freq_range[1]) + freq = freq[mask] + time_lags = time_lags[mask] + + result_data = { + "name": output_name, + "freq": freq.tolist(), + "time_lags": time_lags.tolist(), + "freq_range": freq_range, + } + + if output_name: + self.state.add_analysis_result(output_name, result_data) + + return self.create_result( + success=True, + data=result_data, + message="Time lags calculated", + ) + + except Exception as e: + return self.handle_error( + e, + "Calculating time lags", + event_list_1=event_list_1_name, + event_list_2=event_list_2_name, + dt=dt, + segment_size=segment_size, + ) + + def calculate_coherence( + self, + event_list_1_name: str, + event_list_2_name: str, + dt: float, + segment_size: float, + output_name: Optional[str] = None, + ) -> Dict[str, Any]: + """ + Calculate coherence between two event lists. + + Args: + event_list_1_name: Name of first EventList + event_list_2_name: Name of second EventList + dt: Time binning in seconds + segment_size: Segment size in seconds + output_name: Optional name to save the result + + Returns: + Result dictionary with coherence data + """ + try: + if not self.state.has_event_data(event_list_1_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_1_name}' not found", + error=None, + ) + + if not self.state.has_event_data(event_list_2_name): + return self.create_result( + success=False, + data=None, + message=f"EventList '{event_list_2_name}' not found", + error=None, + ) + + from stingray import AveragedCrossspectrum + + event_list_1 = self.state.get_event_data(event_list_1_name) + event_list_2 = self.state.get_event_data(event_list_2_name) + + lc1 = event_list_1.to_lc(dt=dt) + lc2 = event_list_2.to_lc(dt=dt) + + cs = AveragedCrossspectrum.from_lightcurve( + lc1=lc1, + lc2=lc2, + segment_size=segment_size, + norm="leahy", + ) + + # Calculate coherence + coherence = np.abs(cs.unnorm_power) ** 2 + + result_data = { + "name": output_name, + "freq": cs.freq.tolist(), + "coherence": coherence.tolist(), + } + + if output_name: + self.state.add_analysis_result(output_name, result_data) + + return self.create_result( + success=True, + data=result_data, + message="Coherence calculated", + ) + + except Exception as e: + return self.handle_error( + e, + "Calculating coherence", + event_list_1=event_list_1_name, + event_list_2=event_list_2_name, + dt=dt, + segment_size=segment_size, + ) diff --git a/python-backend/utils/__init__.py b/python-backend/utils/__init__.py new file mode 100644 index 0000000..fe2a948 --- /dev/null +++ b/python-backend/utils/__init__.py @@ -0,0 +1,6 @@ +"""Utilities for Stingray Explorer backend.""" + +from .performance_monitor import PerformanceMonitor +from .error_handler import ErrorHandler + +__all__ = ["PerformanceMonitor", "ErrorHandler"] diff --git a/python-backend/utils/error_handler.py b/python-backend/utils/error_handler.py new file mode 100644 index 0000000..da34a6d --- /dev/null +++ b/python-backend/utils/error_handler.py @@ -0,0 +1,140 @@ +""" +Error handling utilities for Stingray Explorer. +""" + +import traceback +from typing import Any, Dict, Optional, Tuple + + +class ErrorHandler: + """ + Centralized error handling for Stingray Explorer backend. + + Provides consistent error formatting and user-friendly messages. + """ + + # Mapping of common exception types to user-friendly messages + ERROR_MESSAGES: Dict[type, str] = { + FileNotFoundError: "The specified file could not be found", + PermissionError: "Permission denied when accessing the file", + ValueError: "Invalid value provided", + TypeError: "Invalid data type", + MemoryError: "Operation requires more memory than available", + IOError: "Error reading or writing data", + KeyError: "Required data field not found", + } + + @classmethod + def handle_error( + cls, + exception: Exception, + context: str = "", + include_traceback: bool = False, + **context_data: Any, + ) -> Tuple[str, str]: + """ + Handle an exception and return user-friendly and technical messages. + + Args: + exception: The exception that occurred + context: Description of the operation that failed + include_traceback: Whether to include full traceback in technical message + **context_data: Additional context data to include + + Returns: + Tuple of (user_friendly_message, technical_message) + + Example: + >>> try: + ... data = load_file(path) + ... except Exception as e: + ... user_msg, tech_msg = ErrorHandler.handle_error( + ... e, context="Loading file", file_path=path + ... ) + """ + # Get exception type and message + exc_type = type(exception) + exc_message = str(exception) + + # Create user-friendly message + base_message = cls.ERROR_MESSAGES.get( + exc_type, f"An error occurred: {exc_type.__name__}" + ) + + if context: + user_message = f"{context}: {base_message}" + else: + user_message = base_message + + if exc_message and exc_message != str(exc_type): + user_message = f"{user_message}. {exc_message}" + + # Create technical message + tech_parts = [ + f"Exception: {exc_type.__name__}", + f"Message: {exc_message}", + ] + + if context: + tech_parts.append(f"Context: {context}") + + if context_data: + context_str = ", ".join(f"{k}={v}" for k, v in context_data.items()) + tech_parts.append(f"Data: {context_str}") + + if include_traceback: + tech_parts.append(f"Traceback:\n{traceback.format_exc()}") + + technical_message = " | ".join(tech_parts) + + return user_message, technical_message + + @classmethod + def format_validation_error( + cls, field: str, expected: str, received: Any + ) -> Tuple[str, str]: + """ + Format a validation error message. + + Args: + field: The field that failed validation + expected: Description of expected value + received: The actual value received + + Returns: + Tuple of (user_friendly_message, technical_message) + """ + user_message = f"Invalid {field}: expected {expected}, got {type(received).__name__}" + technical_message = f"Validation error: {field}={received!r}, expected {expected}" + + return user_message, technical_message + + @classmethod + def create_error_response( + cls, + exception: Exception, + context: str = "", + **context_data: Any, + ) -> Dict[str, Any]: + """ + Create a standardized error response dictionary. + + Args: + exception: The exception that occurred + context: Description of the operation that failed + **context_data: Additional context data + + Returns: + Error response dictionary + """ + user_msg, tech_msg = cls.handle_error( + exception, context=context, **context_data + ) + + return { + "success": False, + "data": None, + "message": user_msg, + "error": tech_msg, + "error_type": type(exception).__name__, + } diff --git a/python-backend/utils/performance_monitor.py b/python-backend/utils/performance_monitor.py new file mode 100644 index 0000000..6e01dcd --- /dev/null +++ b/python-backend/utils/performance_monitor.py @@ -0,0 +1,176 @@ +""" +Performance monitoring utilities for Stingray Explorer. +""" + +import time +import psutil +from contextlib import contextmanager +from dataclasses import dataclass, field +from typing import Any, Dict, Generator, List, Optional + + +@dataclass +class OperationMetrics: + """Metrics for a single operation.""" + + name: str + duration_ms: float + memory_mb: float + success: bool + context: Dict[str, Any] = field(default_factory=dict) + timestamp: float = field(default_factory=time.time) + + +class PerformanceMonitor: + """ + Monitor performance of operations in the Stingray Explorer backend. + + Tracks execution time, memory usage, and operation success rates. + """ + + def __init__(self, max_history: int = 100): + """ + Initialize the performance monitor. + + Args: + max_history: Maximum number of operations to keep in history + """ + self.max_history = max_history + self.history: List[OperationMetrics] = [] + self._process = psutil.Process() + + @contextmanager + def track_operation( + self, name: str, **context: Any + ) -> Generator[None, None, None]: + """ + Context manager to track an operation's performance. + + Args: + name: Name of the operation + **context: Additional context to log with the metrics + + Example: + >>> with monitor.track_operation("load_file", file_path="/data/obs.evt"): + ... data = load_file("/data/obs.evt") + """ + start_time = time.perf_counter() + start_memory = self._get_memory_mb() + success = True + + try: + yield + except Exception: + success = False + raise + finally: + end_time = time.perf_counter() + end_memory = self._get_memory_mb() + + metrics = OperationMetrics( + name=name, + duration_ms=(end_time - start_time) * 1000, + memory_mb=end_memory - start_memory, + success=success, + context=context, + ) + + self._add_to_history(metrics) + + def _get_memory_mb(self) -> float: + """Get current memory usage in megabytes.""" + try: + return self._process.memory_info().rss / (1024 * 1024) + except Exception: + return 0.0 + + def _add_to_history(self, metrics: OperationMetrics) -> None: + """Add metrics to history, trimming if necessary.""" + self.history.append(metrics) + if len(self.history) > self.max_history: + self.history = self.history[-self.max_history :] + + def get_memory_usage(self) -> Dict[str, float]: + """ + Get current memory usage information. + + Returns: + Dictionary with memory usage metrics + """ + try: + memory_info = self._process.memory_info() + virtual_memory = psutil.virtual_memory() + + return { + "process_mb": memory_info.rss / (1024 * 1024), + "process_percent": self._process.memory_percent(), + "system_total_gb": virtual_memory.total / (1024**3), + "system_available_gb": virtual_memory.available / (1024**3), + "system_percent": virtual_memory.percent, + } + except Exception: + return {} + + def get_cpu_usage(self) -> Dict[str, float]: + """ + Get current CPU usage information. + + Returns: + Dictionary with CPU usage metrics + """ + try: + return { + "process_percent": self._process.cpu_percent(), + "system_percent": psutil.cpu_percent(), + "cpu_count": psutil.cpu_count(), + } + except Exception: + return {} + + def get_recent_operations(self, count: int = 10) -> List[Dict[str, Any]]: + """ + Get recent operation metrics. + + Args: + count: Number of recent operations to return + + Returns: + List of operation metrics dictionaries + """ + recent = self.history[-count:] if self.history else [] + return [ + { + "name": op.name, + "duration_ms": op.duration_ms, + "memory_mb": op.memory_mb, + "success": op.success, + "context": op.context, + "timestamp": op.timestamp, + } + for op in recent + ] + + def get_statistics(self) -> Dict[str, Any]: + """ + Get aggregate statistics from operation history. + + Returns: + Dictionary with aggregate statistics + """ + if not self.history: + return {"total_operations": 0} + + durations = [op.duration_ms for op in self.history] + successes = sum(1 for op in self.history if op.success) + + return { + "total_operations": len(self.history), + "success_rate": successes / len(self.history), + "avg_duration_ms": sum(durations) / len(durations), + "max_duration_ms": max(durations), + "min_duration_ms": min(durations), + } + + def clear_history(self) -> None: + """Clear 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capture output to get the port +python main.py 2>&1 & +BACKEND_PID=$! + +# Wait for backend to print the port (max 10 seconds) +echo "Waiting for backend to start..." +for i in {1..20}; do + sleep 0.5 + # Check if process is still running + if ! kill -0 "$BACKEND_PID" 2>/dev/null; then + echo "Error: Backend process died" + exit 1 + fi + # Try to get health check + if curl -s "http://127.0.0.1:8765/health" >/dev/null 2>&1; then + BACKEND_PORT=8765 + break + fi + # Try alternate ports + for port in 8766 8767 8768 8769; do + if curl -s "http://127.0.0.1:$port/health" >/dev/null 2>&1; then + BACKEND_PORT=$port + break 2 + fi + done +done + +if [ -z "$BACKEND_PORT" ]; then + echo "Error: Could not detect backend port" + exit 1 +fi + +echo "Backend started on port $BACKEND_PORT (PID: $BACKEND_PID)" + +# Export port for frontend +export VITE_BACKEND_PORT=$BACKEND_PORT + +# Start the Electron app +echo "Starting Electron app..." +cd "$PROJECT_ROOT" + +# Use dev:linux on Linux to disable sandbox (avoids permission issues) +if [[ "$OSTYPE" == "linux-gnu"* ]]; then + npm run dev:linux +else + npm run dev +fi + +# Cleanup will be called automatically via trap diff --git a/scripts/package.sh b/scripts/package.sh new file mode 100755 index 0000000..917e48f --- /dev/null +++ b/scripts/package.sh @@ -0,0 +1,33 @@ +#!/bin/bash +# Package the Stingray Explorer application for distribution + +set -e + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +PROJECT_ROOT="$(dirname "$SCRIPT_DIR")" +BACKEND_DIR="$PROJECT_ROOT/python-backend" +DIST_DIR="$PROJECT_ROOT/dist" + +echo "Packaging Stingray Explorer..." + +cd "$PROJECT_ROOT" + +# Build the application first +"$SCRIPT_DIR/build.sh" + +# Create a distribution package with Python backend +echo "Creating distribution package..." + +# Create resources directory for Python backend +RESOURCES_DIR="$DIST_DIR/resources/python-backend" +mkdir -p "$RESOURCES_DIR" + +# Copy Python backend files +cp -r "$BACKEND_DIR"/* "$RESOURCES_DIR/" + +echo "Package created in $DIST_DIR" +echo "" +echo "Note: For production distribution, you'll need to:" +echo "1. Bundle Python with the application or require it as a dependency" +echo "2. Use electron-builder to create platform-specific installers" +echo "3. Sign the application for macOS and Windows" diff --git a/scripts/setup-python.sh b/scripts/setup-python.sh new file mode 100755 index 0000000..04aa9a4 --- /dev/null +++ b/scripts/setup-python.sh @@ -0,0 +1,39 @@ +#!/bin/bash +# Setup Python environment for Stingray Explorer backend + +set -e + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +PROJECT_ROOT="$(dirname "$SCRIPT_DIR")" +BACKEND_DIR="$PROJECT_ROOT/python-backend" +VENV_DIR="$PROJECT_ROOT/.venv" + +echo "Setting up Python environment for Stingray Explorer..." + +# Check if Python 3 is available +if ! command -v python3 &> /dev/null; then + echo "Error: Python 3 is required but not installed." + exit 1 +fi + +# Create virtual environment if it doesn't exist +if [ ! -d "$VENV_DIR" ]; then + echo "Creating virtual environment..." + python3 -m venv "$VENV_DIR" +fi + +# Activate virtual environment +source "$VENV_DIR/bin/activate" + +# Upgrade pip +echo "Upgrading pip..." +pip install --upgrade pip + +# Install requirements +echo "Installing Python dependencies..." +pip install -r "$BACKEND_DIR/requirements.txt" + +echo "Python environment setup complete!" +echo "" +echo "To activate the virtual environment, run:" +echo " source $VENV_DIR/bin/activate" diff --git a/scripts/start-backend.sh b/scripts/start-backend.sh new file mode 100755 index 0000000..52f3e65 --- /dev/null +++ b/scripts/start-backend.sh @@ -0,0 +1,3 @@ +#!/bin/bash +# Start the Python backend server using Pixi +pixi run start-backend diff --git a/src/App.tsx b/src/App.tsx new file mode 100644 index 0000000..e29820e --- /dev/null +++ b/src/App.tsx @@ -0,0 +1,289 @@ +import React, { useState, useEffect, createContext, useContext, useMemo } from 'react'; +import { RouterProvider, createHashRouter } from 'react-router-dom'; +import { ThemeProvider as MuiThemeProvider, createTheme, Theme } from '@mui/material/styles'; +import CssBaseline from '@mui/material/CssBaseline'; +import { QueryClient, QueryClientProvider } from '@tanstack/react-query'; + +// Layout +import MainLayout from '@/components/layout/MainLayout'; + +// Pages +import HomePage from '@/pages/Home'; +import DataIngestionPage from '@/pages/DataIngestion'; +import NotFoundPage from '@/pages/NotFound'; + +// QuickLook Pages +import EventListPage from '@/pages/QuickLook/EventList'; +import LightCurvePage from '@/pages/QuickLook/LightCurve'; +import PowerSpectrumPage from '@/pages/QuickLook/PowerSpectrum'; +import AvgPowerSpectrumPage from '@/pages/QuickLook/AvgPowerSpectrum'; +import CrossSpectrumPage from '@/pages/QuickLook/CrossSpectrum'; +import AvgCrossSpectrumPage from '@/pages/QuickLook/AvgCrossSpectrum'; +import DynamicalPowerSpectrumPage from '@/pages/QuickLook/DynamicalPowerSpectrum'; +import CoherencePage from '@/pages/QuickLook/Coherence'; +import CrossCorrelationPage from '@/pages/QuickLook/CrossCorrelation'; +import AutoCorrelationPage from '@/pages/QuickLook/AutoCorrelation'; +import DeadTimeCorrectionsPage from '@/pages/QuickLook/DeadTimeCorrections'; +import BispectrumPage from '@/pages/QuickLook/Bispectrum'; +import CovarianceSpectrumPage from '@/pages/QuickLook/CovarianceSpectrum'; +import AvgCovarianceSpectrumPage from '@/pages/QuickLook/AvgCovarianceSpectrum'; +import VariableEnergySpectrumPage from '@/pages/QuickLook/VariableEnergySpectrum'; +import RmsEnergySpectrumPage from '@/pages/QuickLook/RmsEnergySpectrum'; +import LagEnergySpectrumPage from '@/pages/QuickLook/LagEnergySpectrum'; +import ExcessVarianceSpectrumPage from '@/pages/QuickLook/ExcessVarianceSpectrum'; + +// Utilities Pages +import StatisticalFunctionsPage from '@/pages/Utilities/StatisticalFunctions'; +import GTIPage from '@/pages/Utilities/GTI'; +import IOPage from '@/pages/Utilities/IO'; +import MissionIOPage from '@/pages/Utilities/MissionIO'; +import MiscPage from '@/pages/Utilities/Misc'; + +// Modeling Pages +import ModelBuilderPage from '@/pages/Modeling/ModelBuilder'; +import MLEFittingPage from '@/pages/Modeling/MLEFitting'; +import MCMCFittingPage from '@/pages/Modeling/MCMCFitting'; + +// Pulsar Pages +import PeriodSearchPage from '@/pages/Pulsar/PeriodSearch'; +import PhaseFoldingPage from '@/pages/Pulsar/PhaseFolding'; +import PhaseogramPage from '@/pages/Pulsar/Phaseogram'; + +// Simulator Page +import SimulatorPage from '@/pages/Simulator'; + +// Theme Context +interface ThemeContextType { + darkMode: boolean; + toggleDarkMode: () => void; +} + +export const ThemeContext = createContext({ + darkMode: false, + toggleDarkMode: () => {}, +}); + +export const useThemeContext = (): ThemeContextType => useContext(ThemeContext); + +// Backend Context +interface BackendContextType { + port: number | null; + isReady: boolean; + error: string | null; +} + +export const BackendContext = createContext({ + port: null, + isReady: false, + error: null, +}); + +export const useBackendContext = (): BackendContextType => useContext(BackendContext); + +// Create React Query client +const queryClient = new QueryClient({ + defaultOptions: { + queries: { + staleTime: 5 * 60 * 1000, // 5 minutes + retry: 1, + }, + }, +}); + +// Light theme +const createLightTheme = (): Theme => + createTheme({ + palette: { + mode: 'light', + primary: { + main: '#5ead61', // Stingray green + light: '#8edf91', + dark: '#2e7d32', + }, + secondary: { + main: '#1976d2', + light: '#42a5f5', + dark: '#1565c0', + }, + background: { + default: '#f5f5f5', + paper: '#ffffff', + }, + }, + typography: { + fontFamily: '"Roboto", "Helvetica", "Arial", sans-serif', + }, + components: { + MuiCssBaseline: { + styleOverrides: { + body: { + transition: 'background-color 0.3s ease', + }, + }, + }, + }, + }); + +// Dark theme +const createDarkTheme = (): Theme => + createTheme({ + palette: { + mode: 'dark', + primary: { + main: '#81c784', // Lighter green for dark mode + light: '#b2fab4', + dark: '#519657', + }, + secondary: { + main: '#64b5f6', + light: '#90caf9', + dark: '#1976d2', + }, + background: { + default: '#121212', + paper: '#1e1e1e', + }, + }, + typography: { + fontFamily: '"Roboto", "Helvetica", "Arial", sans-serif', + }, + components: { + MuiCssBaseline: { + styleOverrides: { + body: { + transition: 'background-color 0.3s ease', + }, + }, + }, + }, + }); + +// Router configuration +const router = createHashRouter([ + { + path: '/', + element: , + children: [ + { index: true, element: }, + { path: 'data-ingestion', element: }, + + // QuickLook routes + { path: 'quicklook/event-list', element: }, + { path: 'quicklook/light-curve', element: }, + { path: 'quicklook/power-spectrum', element: }, + { path: 'quicklook/avg-power-spectrum', element: }, + { path: 'quicklook/cross-spectrum', element: }, + { path: 'quicklook/avg-cross-spectrum', element: }, + { path: 'quicklook/dynamical-power-spectrum', element: }, + { path: 'quicklook/coherence', element: }, + { path: 'quicklook/cross-correlation', element: }, + { path: 'quicklook/auto-correlation', element: }, + { path: 'quicklook/dead-time-corrections', element: }, + { path: 'quicklook/bispectrum', element: }, + { path: 'quicklook/covariance-spectrum', element: }, + { path: 'quicklook/avg-covariance-spectrum', element: }, + { path: 'quicklook/variable-energy-spectrum', element: }, + { path: 'quicklook/rms-energy-spectrum', element: }, + { path: 'quicklook/lag-energy-spectrum', element: }, + { path: 'quicklook/excess-variance-spectrum', element: }, + + // Utilities routes + { path: 'utilities/statistical-functions', element: }, + { path: 'utilities/gti', element: }, + { path: 'utilities/io', element: }, + { path: 'utilities/mission-io', element: }, + { path: 'utilities/misc', element: }, + + // Modeling routes + { path: 'modeling/builder', element: }, + { path: 'modeling/mle', element: }, + { path: 'modeling/mcmc', element: }, + + // Pulsar routes + { path: 'pulsar/search', element: }, + { path: 'pulsar/folding', element: }, + { path: 'pulsar/phaseogram', element: }, + + // Simulator + { path: 'simulator', element: }, + + // 404 + { path: '*', element: }, + ], + }, +]); + +// Main App Component +const App: React.FC = () => { + const [darkMode, setDarkMode] = useState(() => { + const saved = localStorage.getItem('darkMode'); + return saved ? JSON.parse(saved) : false; + }); + + const [backendState, setBackendState] = useState({ + port: null, + isReady: false, + error: null, + }); + + // Toggle dark mode + const toggleDarkMode = (): void => { + setDarkMode((prev) => { + const newValue = !prev; + localStorage.setItem('darkMode', JSON.stringify(newValue)); + return newValue; + }); + }; + + // Theme memoization + const theme = useMemo(() => (darkMode ? createDarkTheme() : createLightTheme()), [darkMode]); + + // Listen for Python backend events + useEffect(() => { + if (typeof window !== 'undefined' && window.electronAPI) { + const unsubscribeReady = window.electronAPI.onPythonReady((port) => { + setBackendState({ port, isReady: true, error: null }); + }); + + const unsubscribeError = window.electronAPI.onPythonError((error) => { + setBackendState((prev) => ({ ...prev, error })); + }); + + const unsubscribeStarting = window.electronAPI.onPythonStarting(() => { + setBackendState({ port: null, isReady: false, error: null }); + }); + + // Check if already ready + window.electronAPI.getBackendPort().then((port) => { + if (port) { + window.electronAPI.isPythonRunning().then((isRunning) => { + if (isRunning) { + setBackendState({ port, isReady: true, error: null }); + } + }); + } + }); + + return () => { + unsubscribeReady(); + unsubscribeError(); + unsubscribeStarting(); + }; + } + }, []); + + return ( + + + + + + + + + + + ); +}; + +export default App; diff --git a/src/api/client.ts b/src/api/client.ts new file mode 100644 index 0000000..85a3ad6 --- /dev/null +++ b/src/api/client.ts @@ -0,0 +1,107 @@ +/** + * API client for communicating with the Python backend + */ + +export interface ApiResponse { + success: boolean; + data: T | null; + message: string; + error: string | null; +} + +class ApiClient { + private baseUrl: string = 'http://127.0.0.1:8765'; + private port: number = 8765; + + async setPort(port: number): Promise { + this.port = port; + this.baseUrl = `http://127.0.0.1:${port}`; + } + + async getPort(): Promise { + // Try to get port from Electron IPC + if (window.electronAPI?.getBackendPort) { + try { + const port = await window.electronAPI.getBackendPort(); + if (port) { + await this.setPort(port); + } + } catch (error) { + console.warn('Failed to get backend port from Electron:', error); + } + } + return this.port; + } + + async request( + endpoint: string, + options: RequestInit = {} + ): Promise> { + const url = `${this.baseUrl}${endpoint}`; + + const defaultHeaders: Record = { + 'Content-Type': 'application/json', + }; + + const config: RequestInit = { + ...options, + headers: { + ...defaultHeaders, + ...options.headers, + }, + }; + + try { + const response = await fetch(url, config); + + if (!response.ok) { + const errorData = await response.json().catch(() => ({})); + return { + success: false, + data: null, + message: errorData.message || `HTTP error: ${response.status}`, + error: errorData.error || response.statusText, + }; + } + + return await response.json(); + } catch (error) { + const errorMessage = error instanceof Error ? error.message : 'Unknown error'; + return { + success: false, + data: null, + message: `Request failed: ${errorMessage}`, + error: errorMessage, + }; + } + } + + async get(endpoint: string): Promise> { + return this.request(endpoint, { method: 'GET' }); + } + + async post(endpoint: string, data?: unknown): Promise> { + return this.request(endpoint, { + method: 'POST', + body: data ? JSON.stringify(data) : undefined, + }); + } + + async delete(endpoint: string): Promise> { + return this.request(endpoint, { method: 'DELETE' }); + } + + async healthCheck(): Promise { + try { + const response = await this.get<{ status: string }>('/health'); + return response.success && response.data?.status === 'healthy'; + } catch { + return false; + } + } +} + +// Export singleton instance +export const apiClient = new ApiClient(); + +export default apiClient; diff --git a/src/api/dataApi.ts b/src/api/dataApi.ts new file mode 100644 index 0000000..23e6574 --- /dev/null +++ b/src/api/dataApi.ts @@ -0,0 +1,110 @@ +/** + * API functions for EventList data operations + */ + +import { apiClient, ApiResponse } from './client'; + +// Types +export interface EventListSummary { + name: string; + n_events: number; + time_range: [number, number]; + has_energy?: boolean; + has_pi?: boolean; + gti_count?: number; +} + +export interface EventListInfo extends EventListSummary { + duration: number; + mjdref: number | null; +} + +export interface FileSizeInfo { + file_size_bytes: number; + file_size_mb: number; + file_size_gb: number; + risk_level: 'safe' | 'caution' | 'risky' | 'critical'; + recommend_lazy: boolean; +} + +// API functions +export const dataApi = { + /** + * Load an EventList from a file + */ + async loadEventList(params: { + file_path: string; + name: string; + fmt?: string; + rmf_file?: string; + additional_columns?: string[]; + }): Promise> { + return apiClient.post('/api/data/load', { + file_path: params.file_path, + name: params.name, + fmt: params.fmt || 'ogip', + rmf_file: params.rmf_file, + additional_columns: params.additional_columns, + }); + }, + + /** + * Load an EventList from a URL + */ + async loadEventListFromUrl(params: { + url: string; + name: string; + fmt?: string; + }): Promise> { + return apiClient.post('/api/data/load-url', { + url: params.url, + name: params.name, + fmt: params.fmt || 'ogip', + }); + }, + + /** + * Save an EventList to disk + */ + async saveEventList(params: { + name: string; + file_path: string; + fmt?: string; + }): Promise> { + return apiClient.post('/api/data/save', { + name: params.name, + file_path: params.file_path, + fmt: params.fmt || 'ogip', + }); + }, + + /** + * Delete an EventList from state + */ + async deleteEventList(name: string): Promise> { + return apiClient.delete(`/api/data/${name}`); + }, + + /** + * Get information about an EventList + */ + async getEventListInfo(name: string): Promise> { + return apiClient.get(`/api/data/${name}`); + }, + + /** + * List all loaded EventLists + */ + async listEventLists(): Promise> { + return apiClient.get('/api/data/'); + }, + + /** + * Check file size and get loading recommendations + */ + async checkFileSize(file_path: string): Promise> { + return apiClient.post('/api/data/check-size', { file_path }); + }, +}; + +export default dataApi; diff --git a/src/api/exportApi.ts b/src/api/exportApi.ts new file mode 100644 index 0000000..afe91ed --- /dev/null +++ b/src/api/exportApi.ts @@ -0,0 +1,86 @@ +/** + * API functions for data export operations + */ + +import { apiClient, ApiResponse } from './client'; + +// Types +export interface ExportResult { + file_path: string; + n_rows?: number; +} + +// API functions +export const exportApi = { + /** + * Export an EventList to CSV file + */ + async exportEventListToCsv(params: { + name: string; + file_path: string; + }): Promise> { + return apiClient.post('/api/export/event-list/csv', params); + }, + + /** + * Export a Lightcurve to CSV file + */ + async exportLightcurveToCsv(params: { + name: string; + file_path: string; + }): Promise> { + return apiClient.post('/api/export/lightcurve/csv', params); + }, + + /** + * Export a spectrum to CSV file + */ + async exportSpectrumToCsv(params: { + name: string; + file_path: string; + }): Promise> { + return apiClient.post('/api/export/spectrum/csv', params); + }, + + /** + * Export a bispectrum to CSV file + */ + async exportBispectrumToCsv(params: { + name: string; + file_path: string; + }): Promise> { + return apiClient.post('/api/export/bispectrum/csv', params); + }, + + /** + * Export data to HDF5 file + */ + async exportToHdf5(params: { + name: string; + file_path: string; + data_type?: 'event_list' | 'lightcurve' | 'spectrum'; + }): Promise> { + return apiClient.post('/api/export/hdf5', { + name: params.name, + file_path: params.file_path, + data_type: params.data_type || 'event_list', + }); + }, + + /** + * Export data to FITS file + */ + async exportToFits(params: { + name: string; + file_path: string; + data_type?: 'event_list'; + }): Promise> { + return apiClient.post('/api/export/fits', { + name: params.name, + file_path: params.file_path, + data_type: params.data_type || 'event_list', + }); + }, +}; + +export default exportApi; diff --git a/src/api/index.ts b/src/api/index.ts new file mode 100644 index 0000000..1d07bfd --- /dev/null +++ b/src/api/index.ts @@ -0,0 +1,21 @@ +/** + * API module exports + */ + +export { apiClient, type ApiResponse } from './client'; +export { dataApi, type EventListSummary, type EventListInfo, type FileSizeInfo } from './dataApi'; +export { lightcurveApi, type LightcurveData, type LightcurveSummary } from './lightcurveApi'; +export { + spectrumApi, + type PowerSpectrumData, + type DynamicalPowerSpectrumData, + type SpectrumSummary, +} from './spectrumApi'; +export { + timingApi, + type BispectrumData, + type PowerColorsData, + type TimeLagsData, + type CoherenceData, +} from './timingApi'; +export { exportApi, type ExportResult } from './exportApi'; diff --git a/src/api/lightcurveApi.ts b/src/api/lightcurveApi.ts new file mode 100644 index 0000000..b1d0425 --- /dev/null +++ b/src/api/lightcurveApi.ts @@ -0,0 +1,95 @@ +/** + * API functions for Lightcurve operations + */ + +import { apiClient, ApiResponse } from './client'; + +// Types +export interface LightcurveData { + name: string; + time: number[]; + counts: number[]; + dt: number; + n_bins: number; + time_range?: [number, number]; + count_rate_mean?: number; + count_stats?: { + mean: number; + std: number; + min: number; + max: number; + }; +} + +export interface LightcurveSummary { + name: string; + n_bins: number; + dt: number; + time_range: [number, number]; +} + +// API functions +export const lightcurveApi = { + /** + * Create a Lightcurve from an EventList + */ + async createFromEventList(params: { + event_list_name: string; + dt: number; + output_name: string; + gti?: number[][]; + }): Promise> { + return apiClient.post('/api/lightcurve/from-event-list', { + event_list_name: params.event_list_name, + dt: params.dt, + output_name: params.output_name, + gti: params.gti, + }); + }, + + /** + * Create a Lightcurve from arrays + */ + async createFromArrays(params: { + times: number[]; + counts: number[]; + dt: number; + output_name: string; + }): Promise> { + return apiClient.post('/api/lightcurve/from-arrays', params); + }, + + /** + * Rebin a lightcurve + */ + async rebin(params: { + name: string; + rebin_factor: number; + output_name: string; + }): Promise> { + return apiClient.post('/api/lightcurve/rebin', params); + }, + + /** + * Get lightcurve data for plotting + */ + async getLightcurveData(name: string): Promise> { + return apiClient.get(`/api/lightcurve/${name}`); + }, + + /** + * List all loaded lightcurves + */ + async listLightcurves(): Promise> { + return apiClient.get('/api/lightcurve/'); + }, + + /** + * Delete a lightcurve from state + */ + async deleteLightcurve(name: string): Promise> { + return apiClient.delete(`/api/lightcurve/${name}`); + }, +}; + +export default lightcurveApi; diff --git a/src/api/spectrumApi.ts b/src/api/spectrumApi.ts new file mode 100644 index 0000000..c990578 --- /dev/null +++ b/src/api/spectrumApi.ts @@ -0,0 +1,165 @@ +/** + * API functions for spectrum operations + */ + +import { apiClient, ApiResponse } from './client'; + +// Types +export interface PowerSpectrumData { + name: string | null; + freq: number[]; + power: number[]; + norm: string; + n_freq: number; + df: number; + freq_range?: [number, number]; + segment_size?: number; + n_segments?: number; +} + +export interface DynamicalPowerSpectrumData { + name: string | null; + freq: number[]; + time: number[]; + dyn_ps: number[][]; + norm: string; + segment_size: number; + shape: [number, number]; +} + +export interface SpectrumSummary { + name: string; + type: string; + n_freq: number | null; +} + +// API functions +export const spectrumApi = { + /** + * Create a power spectrum from an EventList + */ + async createPowerSpectrum(params: { + event_list_name: string; + dt: number; + norm?: string; + output_name?: string; + }): Promise> { + return apiClient.post('/api/spectrum/power-spectrum', { + event_list_name: params.event_list_name, + dt: params.dt, + norm: params.norm || 'leahy', + output_name: params.output_name, + }); + }, + + /** + * Create an averaged power spectrum from an EventList + */ + async createAveragedPowerSpectrum(params: { + event_list_name: string; + dt: number; + segment_size: number; + norm?: string; + output_name?: string; + }): Promise> { + return apiClient.post('/api/spectrum/averaged-power-spectrum', { + event_list_name: params.event_list_name, + dt: params.dt, + segment_size: params.segment_size, + norm: params.norm || 'leahy', + output_name: params.output_name, + }); + }, + + /** + * Create a cross spectrum from two EventLists + */ + async createCrossSpectrum(params: { + event_list_1_name: string; + event_list_2_name: string; + dt: number; + norm?: string; + output_name?: string; + }): Promise> { + return apiClient.post('/api/spectrum/cross-spectrum', { + event_list_1_name: params.event_list_1_name, + event_list_2_name: params.event_list_2_name, + dt: params.dt, + norm: params.norm || 'leahy', + output_name: params.output_name, + }); + }, + + /** + * Create an averaged cross spectrum from two EventLists + */ + async createAveragedCrossSpectrum(params: { + event_list_1_name: string; + event_list_2_name: string; + dt: number; + segment_size: number; + norm?: string; + output_name?: string; + }): Promise> { + return apiClient.post('/api/spectrum/averaged-cross-spectrum', { + event_list_1_name: params.event_list_1_name, + event_list_2_name: params.event_list_2_name, + dt: params.dt, + segment_size: params.segment_size, + norm: params.norm || 'leahy', + output_name: params.output_name, + }); + }, + + /** + * Create a dynamical power spectrum from an EventList + */ + async createDynamicalPowerSpectrum(params: { + event_list_name: string; + dt: number; + segment_size: number; + norm?: string; + output_name?: string; + }): Promise> { + return apiClient.post('/api/spectrum/dynamical-power-spectrum', { + event_list_name: params.event_list_name, + dt: params.dt, + segment_size: params.segment_size, + norm: params.norm || 'leahy', + output_name: params.output_name, + }); + }, + + /** + * Rebin a spectrum + */ + async rebinSpectrum(params: { + name: string; + rebin_factor: number; + log?: boolean; + output_name?: string; + }): Promise> { + return apiClient.post('/api/spectrum/rebin', { + name: params.name, + rebin_factor: params.rebin_factor, + log: params.log || false, + output_name: params.output_name, + }); + }, + + /** + * List all loaded spectra + */ + async listSpectra(): Promise> { + return apiClient.get('/api/spectrum/'); + }, + + /** + * Delete a spectrum from state + */ + async deleteSpectrum(name: string): Promise> { + return apiClient.delete(`/api/spectrum/${name}`); + }, +}; + +export default spectrumApi; diff --git a/src/api/timingApi.ts b/src/api/timingApi.ts new file mode 100644 index 0000000..108aa4f --- /dev/null +++ b/src/api/timingApi.ts @@ -0,0 +1,123 @@ +/** + * API functions for timing analysis operations + */ + +import { apiClient, ApiResponse } from './client'; + +// Types +export interface BispectrumData { + name: string | null; + freq: number[]; + lags: number[]; + bispec_mag: number[][]; + bispec_phase: number[][]; + cum3: number[][]; + maxlag: number; + scale: string; + window: string; +} + +export interface PowerColorsData { + name: string | null; + power_colors: Record; + time: number[]; + freq_ranges: Record; +} + +export interface TimeLagsData { + name: string | null; + freq: number[]; + time_lags: number[]; + freq_range: [number, number] | null; +} + +export interface CoherenceData { + name: string | null; + freq: number[]; + coherence: number[]; +} + +// API functions +export const timingApi = { + /** + * Create a bispectrum from an EventList + */ + async createBispectrum(params: { + event_list_name: string; + dt: number; + maxlag?: number; + scale?: string; + window?: string; + output_name?: string; + }): Promise> { + return apiClient.post('/api/timing/bispectrum', { + event_list_name: params.event_list_name, + dt: params.dt, + maxlag: params.maxlag || 25, + scale: params.scale || 'unbiased', + window: params.window || 'uniform', + output_name: params.output_name, + }); + }, + + /** + * Calculate power colors from frequency bands + */ + async calculatePowerColors(params: { + event_list_name: string; + dt: number; + segment_size: number; + freq_ranges: Record; + output_name?: string; + }): Promise> { + return apiClient.post('/api/timing/power-colors', { + event_list_name: params.event_list_name, + dt: params.dt, + segment_size: params.segment_size, + freq_ranges: params.freq_ranges, + output_name: params.output_name, + }); + }, + + /** + * Calculate time lags between two event lists + */ + async calculateTimeLags(params: { + event_list_1_name: string; + event_list_2_name: string; + dt: number; + segment_size: number; + freq_range?: [number, number]; + output_name?: string; + }): Promise> { + return apiClient.post('/api/timing/time-lags', { + event_list_1_name: params.event_list_1_name, + event_list_2_name: params.event_list_2_name, + dt: params.dt, + segment_size: params.segment_size, + freq_range: params.freq_range, + output_name: params.output_name, + }); + }, + + /** + * Calculate coherence between two event lists + */ + async calculateCoherence(params: { + event_list_1_name: string; + event_list_2_name: string; + dt: number; + segment_size: number; + output_name?: string; + }): Promise> { + return apiClient.post('/api/timing/coherence', { + event_list_1_name: params.event_list_1_name, + event_list_2_name: params.event_list_2_name, + dt: params.dt, + segment_size: params.segment_size, + output_name: params.output_name, + }); + }, +}; + +export default timingApi; diff --git a/src/components/common/LogPanel.tsx b/src/components/common/LogPanel.tsx new file mode 100644 index 0000000..c23698c --- /dev/null +++ b/src/components/common/LogPanel.tsx @@ -0,0 +1,451 @@ +import React, { useEffect, useRef, useState } from 'react'; +import { + Box, + Collapse, + IconButton, + Typography, + TextField, + Chip, + Tooltip, + Paper, + Stack, + Divider, + InputAdornment, +} from '@mui/material'; +import { + ExpandLess, + ExpandMore, + Delete, + ContentCopy, + Search, + Terminal, + Error as ErrorIcon, + Warning as WarningIcon, + Info as InfoIcon, + BugReport as DebugIcon, + Code as RawIcon, + FormatListBulleted as FormattedIcon, +} from '@mui/icons-material'; +import { useLogStore, selectFilteredLogs, LogEntry } from '@/store/logStore'; + +/** + * Format timestamp for display + */ +const formatTimestamp = (date: Date): string => { + return date.toLocaleTimeString('en-US', { + hour12: false, + hour: '2-digit', + minute: '2-digit', + second: '2-digit', + }); +}; + +/** + * Get icon for log level + */ +const getLevelIcon = (level: LogEntry['level']): React.ReactNode => { + switch (level) { + case 'error': + return ; + case 'warn': + return ; + case 'info': + return ; + case 'debug': + return ; + default: + return null; + } +}; + +/** + * Get color for log level + */ +const getLevelColor = (level: LogEntry['level']): string => { + switch (level) { + case 'error': + return 'error.main'; + case 'warn': + return 'warning.main'; + case 'info': + return 'info.main'; + case 'debug': + return 'text.secondary'; + default: + return 'text.primary'; + } +}; + +/** + * Get color for source + */ +const getSourceColor = (source: LogEntry['source']): 'primary' | 'secondary' | 'default' => { + switch (source) { + case 'python': + return 'primary'; + case 'electron': + return 'secondary'; + case 'frontend': + return 'default'; + default: + return 'default'; + } +}; + +/** + * Log entry row component (formatted view) + */ +const LogRow: React.FC<{ log: LogEntry }> = ({ log }) => { + return ( + + + {formatTimestamp(log.timestamp)} + + {getLevelIcon(log.level)} + + + {log.message} + + + ); +}; + +/** + * Format log entry as raw terminal output + */ +const formatRawLog = (log: LogEntry): string => { + const timestamp = formatTimestamp(log.timestamp); + const level = log.level.toUpperCase().padEnd(5); + const source = `[${log.source}]`.padEnd(10); + return `${timestamp} ${level} ${source} ${log.message}`; +}; + +/** + * Raw log view component - shows logs exactly like terminal output + */ +const RawLogView: React.FC<{ logs: LogEntry[] }> = ({ logs }) => { + return ( + + {logs.map((log) => ( + + {formatRawLog(log)} + + ))} + + ); +}; + +/** + * LogPanel component - displays logs in a collapsible panel + */ +const LogPanel: React.FC = () => { + const { + isOpen, + togglePanel, + clearLogs, + filter, + toggleLevelFilter, + toggleSourceFilter, + setSearchFilter, + } = useLogStore(); + + const logs = useLogStore(selectFilteredLogs); + const logsEndRef = useRef(null); + const [autoScroll, setAutoScroll] = useState(true); + const [rawView, setRawView] = useState(false); + + // Listen for logs from Electron main process + useEffect(() => { + if (typeof window !== 'undefined' && window.electronAPI) { + // Set up the log listener first + const unsubscribe = window.electronAPI.onLog((log) => { + useLogStore.getState().addLog(log); + }); + + // Signal that we're ready to receive logs (triggers flush of buffered logs) + window.electronAPI.signalLogReady(); + + return unsubscribe; + } + }, []); + + // Auto-scroll to bottom when new logs arrive + useEffect(() => { + if (autoScroll && logsEndRef.current) { + logsEndRef.current.scrollIntoView({ behavior: 'smooth' }); + } + }, [logs, autoScroll]); + + // Handle scroll to detect if user scrolled up + const handleScroll = (e: React.UIEvent): void => { + const element = e.currentTarget; + const isAtBottom = element.scrollHeight - element.scrollTop - element.clientHeight < 50; + setAutoScroll(isAtBottom); + }; + + // Copy all visible logs to clipboard + const handleCopyLogs = (): void => { + const logText = logs + .map((log) => `[${formatTimestamp(log.timestamp)}] [${log.level.toUpperCase()}] [${log.source}] ${log.message}`) + .join('\n'); + navigator.clipboard.writeText(logText); + }; + + const levelFilters: LogEntry['level'][] = ['info', 'warn', 'error', 'debug']; + const sourceFilters: LogEntry['source'][] = ['python', 'electron', 'frontend']; + + return ( + + {/* Header */} + + + + Console + + + { e.stopPropagation(); togglePanel(); }}> + {isOpen ? : } + + + + {/* Content */} + + + {/* Toolbar */} + + {/* Search */} + setSearchFilter(e.target.value)} + InputProps={{ + startAdornment: ( + + + + ), + sx: { fontSize: '0.8rem', height: 32 }, + }} + sx={{ width: 200 }} + /> + + + + {/* Level filters */} + + {levelFilters.map((level) => ( + toggleLevelFilter(level)} + sx={{ + height: 24, + fontSize: '0.7rem', + textTransform: 'capitalize', + }} + /> + ))} + + + + + {/* Source filters */} + + {sourceFilters.map((source) => ( + toggleSourceFilter(source)} + sx={{ + height: 24, + fontSize: '0.7rem', + textTransform: 'capitalize', + }} + /> + ))} + + + + + {/* Actions */} + + setRawView(!rawView)}> + {rawView ? : } + + + + + + + + + + + + + + + {/* Log entries */} + + {logs.length === 0 ? ( + + No logs to display + + ) : rawView ? ( + <> + +
+ + ) : ( + <> + {logs.map((log) => ( + + ))} +
+ + )} + + + + + ); +}; + +export default LogPanel; diff --git a/src/components/common/PageTemplate.tsx b/src/components/common/PageTemplate.tsx new file mode 100644 index 0000000..176eeb5 --- /dev/null +++ b/src/components/common/PageTemplate.tsx @@ -0,0 +1,75 @@ +import React from 'react'; +import { Box, Typography, Paper, Chip, Alert } from '@mui/material'; +import ConstructionIcon from '@mui/icons-material/Construction'; + +interface PageTemplateProps { + title: string; + description?: string; + category?: string; + status?: 'ready' | 'coming-soon' | 'in-development'; + children?: React.ReactNode; +} + +/** + * Reusable page template component + */ +const PageTemplate: React.FC = ({ + title, + description, + category, + status = 'coming-soon', + children, +}) => { + return ( + + {/* Header */} + + {category && ( + + )} + + {title} + + {description && ( + + {description} + + )} + + + {/* Status indicator for pages under development */} + {status !== 'ready' && ( + } + sx={{ mb: 3 }} + > + {status === 'in-development' + ? 'This feature is currently under development.' + : 'This feature is coming soon in a future release.'} + + )} + + {/* Page content */} + {children || ( + + + + {title} + + + This analysis module will be implemented soon. + + + )} + + ); +}; + +export default PageTemplate; diff --git a/src/components/layout/Footer.tsx b/src/components/layout/Footer.tsx new file mode 100644 index 0000000..cd38df1 --- /dev/null +++ b/src/components/layout/Footer.tsx @@ -0,0 +1,407 @@ +import React, { useState, useEffect } from 'react'; +import { + Box, + Typography, + Button, + Tooltip, + Divider, + Menu, + Slider, + Stack, + IconButton, + Dialog, + DialogTitle, + DialogContent, + DialogActions, + Link, + Chip, +} from '@mui/material'; +import MemoryIcon from '@mui/icons-material/Memory'; +import InfoOutlinedIcon from '@mui/icons-material/InfoOutlined'; +import ContactSupportIcon from '@mui/icons-material/ContactSupport'; +import GitHubIcon from '@mui/icons-material/GitHub'; +import StorageIcon from '@mui/icons-material/Storage'; +import { useUIStore } from '@/store/uiStore'; +import { useBackendContext } from '@/App'; + +const FOOTER_HEIGHT = 40; + +/** + * Application footer with system resources, copyright, and links + */ +const Footer: React.FC = () => { + const [version, setVersion] = useState(''); + const { systemResources, setSystemResources } = useUIStore(); + const { isReady: backendReady, port: backendPort } = useBackendContext(); + + // Resource settings state + const [resourcesAnchor, setResourcesAnchor] = useState(null); + const [maxCpuThreads, setMaxCpuThreads] = useState(4); + const [maxRamGb, setMaxRamGb] = useState(8); + + // Dialog states + const [acknowledgementsOpen, setAcknowledgementsOpen] = useState(false); + const [contactOpen, setContactOpen] = useState(false); + + // Get app version + useEffect(() => { + const getVersion = async (): Promise => { + if (window.electronAPI) { + const appVersion = await window.electronAPI.getAppVersion(); + setVersion(appVersion); + } + }; + getVersion(); + }, []); + + // Fetch system resources from backend periodically + useEffect(() => { + const fetchResources = async (): Promise => { + if (!backendReady || !backendPort) return; + + try { + const response = await fetch(`http://127.0.0.1:${backendPort}/api/status`); + if (response.ok) { + const data = await response.json(); + if (data.memory_usage) { + setSystemResources({ + cpuPercent: data.memory_usage.cpu_percent || 0, + memoryUsedGb: (data.memory_usage.memory_used_mb || 0) / 1024, + memoryTotalGb: (data.memory_usage.memory_total_mb || 0) / 1024, + memoryPercent: data.memory_usage.memory_percent || 0, + }); + } + } + } catch { + // Backend might not be ready + } + }; + + // Initial fetch + fetchResources(); + + // Poll every 5 seconds + const interval = setInterval(fetchResources, 5000); + return () => clearInterval(interval); + }, [backendReady, backendPort, setSystemResources]); + + const handleOpenExternal = async (url: string): Promise => { + if (window.electronAPI) { + await window.electronAPI.openExternal(url); + } + }; + + const formatResourceDisplay = (): string => { + if (!systemResources) { + return 'Resources: --'; + } + const cpuStr = `CPU: ${systemResources.cpuPercent.toFixed(0)}%`; + const memStr = `RAM: ${systemResources.memoryUsedGb.toFixed(1)}/${systemResources.memoryTotalGb.toFixed(0)}GB`; + return `${cpuStr} | ${memStr}`; + }; + + return ( + <> + + {/* Left side - System Resources */} + + + + + + + + {/* Backend status */} + + } + label={backendReady ? 'Connected' : 'Disconnected'} + size="small" + color={backendReady ? 'success' : 'error'} + variant="outlined" + sx={{ height: 22, fontSize: '0.7rem' }} + /> + + + + {/* Center - Copyright */} + + Stingray Explorer {version && `v${version}`} | © {new Date().getFullYear()} Kartik Mandar + + + {/* Right side - Links */} + + + setAcknowledgementsOpen(true)} + sx={{ color: 'text.secondary' }} + > + + + + + + setContactOpen(true)} + sx={{ color: 'text.secondary' }} + > + + + + + + handleOpenExternal('https://github.com/kartikmandar-GSOC24/StingrayExplorer')} + sx={{ color: 'text.secondary' }} + > + + + + + + {/* Resources Menu */} + setResourcesAnchor(null)} + anchorOrigin={{ vertical: 'top', horizontal: 'left' }} + transformOrigin={{ vertical: 'bottom', horizontal: 'left' }} + PaperProps={{ sx: { width: 320, p: 2 } }} + > + + Resource Limits + + + Configure maximum resources for analysis tasks + + + + + + Max CPU Threads: {maxCpuThreads} + + setMaxCpuThreads(value as number)} + step={1} + marks + min={1} + max={16} + size="small" + valueLabelDisplay="auto" + /> + + + + + Max RAM (GB): {maxRamGb} + + setMaxRamGb(value as number)} + step={1} + marks + min={1} + max={32} + size="small" + valueLabelDisplay="auto" + /> + + + {systemResources && ( + + + Current usage: {systemResources.cpuPercent.toFixed(1)}% CPU,{' '} + {systemResources.memoryPercent.toFixed(1)}% RAM + + + )} + + + + + {/* Acknowledgements Dialog */} + setAcknowledgementsOpen(false)} + maxWidth="sm" + fullWidth + > + Acknowledgements + + + Stingray Explorer is built on top of the{' '} + handleOpenExternal('https://github.com/StingraySoftware/stingray')} + > + Stingray + {' '} + Python library for spectral-timing analysis of astronomical data. + + + + Core Dependencies + + +
    +
  • + handleOpenExternal('https://stingray.readthedocs.io/')}> + Stingray + {' '} + - Spectral-timing software +
    • +
  • + handleOpenExternal('https://www.astropy.org/')}> + Astropy + {' '} + - Core astronomy library +
    • +
  • + handleOpenExternal('https://numpy.org/')}> + NumPy + {' '} + & SciPy - Scientific computing +
    • +
  • + handleOpenExternal('https://fastapi.tiangolo.com/')}> + FastAPI + {' '} + - Backend framework +
    • +
  • + handleOpenExternal('https://www.electronjs.org/')}> + Electron + {' '} + - Desktop framework +
    • +
  • + handleOpenExternal('https://react.dev/')}> + React + {' '} + & Material UI - Frontend +
    • +
+ + + + Special Thanks + + + This project was developed as part of Google Summer of Code 2024 under the OpenAstronomy + organization. Special thanks to the Stingray team and mentors for their guidance and support. + + + + + + + + {/* Contact Dialog */} + setContactOpen(false)} + maxWidth="sm" + fullWidth + > + Contact & Support + + + Need help or want to report an issue? Here are the best ways to get in touch: + + + + + Report Issues + + Found a bug or have a feature request?{' '} + handleOpenExternal('https://github.com/kartikmandar-GSOC24/StingrayExplorer/issues')} + > + Open an issue on GitHub + + + + + + Documentation + + Check the{' '} + handleOpenExternal('https://docs.stingray.science/')} + > + Stingray documentation + {' '} + for detailed usage guides. + + + + + Community + + Join the discussion on the{' '} + handleOpenExternal('https://github.com/StingraySoftware/stingray/discussions')} + > + Stingray GitHub Discussions + + + + + + Developer + + Kartik Mandar -{' '} + handleOpenExternal('https://github.com/kartikmandar')} + > + @kartikmandar + + + + + + + + + + + ); +}; + +export default Footer; +export { FOOTER_HEIGHT }; diff --git a/src/components/layout/Header.tsx b/src/components/layout/Header.tsx new file mode 100644 index 0000000..7830e3f --- /dev/null +++ b/src/components/layout/Header.tsx @@ -0,0 +1,248 @@ +import React, { useContext, useState } from 'react'; +import { + AppBar, + Toolbar, + Typography, + IconButton, + Box, + Tooltip, + Chip, + InputBase, + Paper, + Fade, + ClickAwayListener, +} from '@mui/material'; +import MenuIcon from '@mui/icons-material/Menu'; +import MenuOpenIcon from '@mui/icons-material/MenuOpen'; +import Brightness4Icon from '@mui/icons-material/Brightness4'; +import Brightness7Icon from '@mui/icons-material/Brightness7'; +import RefreshIcon from '@mui/icons-material/Refresh'; +import SettingsIcon from '@mui/icons-material/Settings'; +import SearchIcon from '@mui/icons-material/Search'; +import CloseIcon from '@mui/icons-material/Close'; +import CircleIcon from '@mui/icons-material/Circle'; +import ViewSidebarIcon from '@mui/icons-material/ViewSidebar'; +import { ThemeContext, useBackendContext } from '../../App'; +import { useUIStore } from '@/store/uiStore'; + +interface HeaderProps { + onToggleSidebar: () => void; + sidebarOpen: boolean; + onToggleRightToolbar: () => void; + rightToolbarOpen: boolean; +} + +/** + * Application header with navigation controls and status indicators + */ +const Header: React.FC = ({ + onToggleSidebar, + sidebarOpen, + onToggleRightToolbar, + rightToolbarOpen, +}) => { + const { darkMode, toggleDarkMode } = useContext(ThemeContext); + const { isReady, error } = useBackendContext(); + const { searchOpen, searchQuery, setSearchOpen, setSearchQuery } = useUIStore(); + + const [localSearchQuery, setLocalSearchQuery] = useState(''); + + const handleRestartBackend = async (): Promise => { + if (window.electronAPI) { + await window.electronAPI.restartPython(); + } + }; + + const handleSearchOpen = (): void => { + setSearchOpen(true); + setLocalSearchQuery(searchQuery); + }; + + const handleSearchClose = (): void => { + setSearchOpen(false); + setLocalSearchQuery(''); + }; + + const handleSearchSubmit = (e: React.FormEvent): void => { + e.preventDefault(); + setSearchQuery(localSearchQuery); + // TODO: Implement actual search functionality + console.log('Search query:', localSearchQuery); + }; + + return ( + theme.zIndex.drawer + 1, + backgroundColor: 'background.paper', + borderBottom: '1px solid', + borderColor: 'divider', + }} + > + + {/* Left sidebar toggle */} + + {sidebarOpen ? : } + + + {/* Logo and title */} + + Stingray Explorer + + Stingray Explorer + + + + {/* Subtitle */} + + Next-Generation Spectral Timing Made Easy + + + {/* Spacer */} + + + {/* Search bar */} + {searchOpen ? ( + + + + + setLocalSearchQuery(e.target.value)} + autoFocus + sx={{ flex: 1, fontSize: '0.875rem' }} + /> + + + + + + + ) : ( + + + + + + )} + + {/* Backend status indicator */} + + + } + label={isReady ? 'Backend Ready' : error ? 'Error' : 'Starting...'} + size="small" + variant="outlined" + color={isReady ? 'success' : error ? 'error' : 'warning'} + sx={{ + mr: 2, + }} + /> + + + {/* Action buttons */} + + {/* Restart backend */} + + + + + + + {/* Dark mode toggle */} + + + {darkMode ? : } + + + + {/* Settings */} + + + + + + + + {/* Right toolbar toggle - rightmost */} + + + + + + + + ); +}; + +export default Header; diff --git a/src/components/layout/MainLayout.tsx b/src/components/layout/MainLayout.tsx new file mode 100644 index 0000000..c799999 --- /dev/null +++ b/src/components/layout/MainLayout.tsx @@ -0,0 +1,126 @@ +import React, { useState, useCallback } from 'react'; +import { Outlet } from 'react-router-dom'; +import { Box, Toolbar } from '@mui/material'; +import Sidebar from './Sidebar'; +import Header from './Header'; +import Footer, { FOOTER_HEIGHT } from './Footer'; +import RightToolbar, { TOOLBAR_WIDTH } from './RightToolbar'; +import LogPanel from '@/components/common/LogPanel'; +import { useUIStore } from '@/store/uiStore'; + +// Sidebar widths +const MAIN_DRAWER_WIDTH = 240; +const SUB_DRAWER_WIDTH = 240; + +/** + * Main layout component that wraps all pages + * Includes sidebar, header, footer, right toolbar, and main content area + */ +const MainLayout: React.FC = () => { + const [sidebarOpen, setSidebarOpen] = useState(true); + const [submenuOpen, setSubmenuOpen] = useState(false); + const { rightToolbarCollapsed, toggleRightToolbar } = useUIStore(); + + const handleToggleSidebar = useCallback((): void => { + setSidebarOpen((prev) => !prev); + }, []); + + const handleSubmenuStateChange = useCallback((isOpen: boolean): void => { + setSubmenuOpen(isOpen); + }, []); + + // Calculate main content offset based on sidebar state + const leftOffset = sidebarOpen + ? submenuOpen + ? MAIN_DRAWER_WIDTH + SUB_DRAWER_WIDTH + : MAIN_DRAWER_WIDTH + : 0; + + // Calculate right offset based on right toolbar state + const rightOffset = rightToolbarCollapsed ? 0 : TOOLBAR_WIDTH; + + return ( + + {/* Header */} +
+ + {/* Toolbar spacer to account for fixed header */} + + + {/* Main content area with sidebars */} + + {/* Left Sidebar */} + + + {/* Main content */} + + theme.transitions.create(['margin-left', 'margin-right'], { + easing: theme.transitions.easing.easeInOut, + duration: theme.transitions.duration.standard, + }), + marginLeft: `${leftOffset}px`, + marginRight: `${rightOffset}px`, + display: 'flex', + flexDirection: 'column', + overflow: 'hidden', + backgroundColor: 'background.default', + }} + > + {/* Page content */} + + + + + {/* Footer - fixed at bottom of main content area */} + + theme.transitions.create(['left', 'right'], { + easing: theme.transitions.easing.easeInOut, + duration: theme.transitions.duration.standard, + }), + zIndex: 1100, + }} + > +