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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 | import type { Meta, StoryObj } from '@storybook/react' import { useState } from 'react' import { AbacusStatic } from '@soroban/abacus-react' import { css } from '../../../styled-system/css' import { TrainingImageViewer, type TrainingImageMeta, type GroupBy } from './TrainingImageViewer' /** * TrainingImageViewer - Displays collected abacus column training images * * This component shows training data collected from students using vision mode. * Images are 64×128 grayscale column extracts, labeled with the digit they represent. * * In these stories, we use `AbacusStatic` to generate representative abacus * column images instead of actual collected photos. */ const meta: Meta<typeof TrainingImageViewer> = { title: 'Vision/TrainingImageViewer', component: TrainingImageViewer, parameters: { layout: 'fullscreen', }, tags: ['autodocs'], } export default meta type Story = StoryObj<typeof meta> // Helper to generate a random ID function randomId(length = 8): string { return Math.random() .toString(36) .substring(2, 2 + length) } // Generate mock training image metadata function generateMockImages(count: number): TrainingImageMeta[] { const players = ['alice123', 'bob45678', 'charlie9', 'diana012'] const sessions = ['sess_abc', 'sess_def', 'sess_ghi', 'sess_jkl', 'sess_mno'] const images: TrainingImageMeta[] = [] const now = Date.now() for (let i = 0; i < count; i++) { const digit = Math.floor(Math.random() * 10) const playerId = players[Math.floor(Math.random() * players.length)] const sessionId = sessions[Math.floor(Math.random() * sessions.length)] const timestamp = now - Math.floor(Math.random() * 7 * 24 * 60 * 60 * 1000) // Last 7 days const columnIndex = Math.floor(Math.random() * 5) const uuid = randomId() images.push({ filename: `${timestamp}_${playerId}_${sessionId}_col${columnIndex}_${uuid}.png`, digit, timestamp, playerId, sessionId, columnIndex, imageUrl: `/api/vision-training/images/${digit}/${timestamp}_${playerId}_${sessionId}_col${columnIndex}_${uuid}.png`, }) } // Sort by timestamp descending (newest first) images.sort((a, b) => b.timestamp - a.timestamp) return images } // Component to render a single abacus column as a training image preview function AbacusColumnPreview({ digit }: { digit: number }) { return ( <div className={css({ width: '64px', height: '128px', bg: 'gray.950', borderRadius: 'md', mb: 1, display: 'flex', alignItems: 'center', justifyContent: 'center', overflow: 'hidden', })} > <AbacusStatic value={digit} columns={1} scaleFactor={0.45} colorScheme="monochrome" hideInactiveBeads={false} frameVisible={false} showNumbers={false} customStyles={{ earthBeads: { fill: '#9ca3af', stroke: '#6b7280', strokeWidth: 1, }, heavenBeads: { fill: '#9ca3af', stroke: '#6b7280', strokeWidth: 1, }, reckoningBar: { fill: '#374151', stroke: '#4b5563', strokeWidth: 1, }, columnPosts: { fill: '#1f2937', stroke: '#374151', strokeWidth: 1, }, }} /> </div> ) } // Interactive wrapper for stories function InteractiveViewer({ images }: { images: TrainingImageMeta[] }) { const [filterDigit, setFilterDigit] = useState('') const [filterPlayer, setFilterPlayer] = useState('') const [filterSession, setFilterSession] = useState('') const [groupBy, setGroupBy] = useState<GroupBy>('digit') // Apply filters const filteredImages = images.filter((img) => { if (filterDigit && img.digit !== parseInt(filterDigit, 10)) return false if (filterPlayer && img.playerId !== filterPlayer) return false if (filterSession && img.sessionId !== filterSession) return false return true }) return ( <TrainingImageViewer images={filteredImages} filterDigit={filterDigit} filterPlayer={filterPlayer} filterSession={filterSession} groupBy={groupBy} onFilterDigitChange={setFilterDigit} onFilterPlayerChange={setFilterPlayer} onFilterSessionChange={setFilterSession} onGroupByChange={setGroupBy} onRefresh={() => { // In real app, this would refetch console.log('Refresh clicked') }} renderImage={(img) => <AbacusColumnPreview digit={img.digit} />} /> ) } // Generate datasets const smallDataset = generateMockImages(30) const mediumDataset = generateMockImages(100) const largeDataset = generateMockImages(500) // Ensure balanced distribution for demo const balancedDataset: TrainingImageMeta[] = [] const players = ['student_a', 'student_b', 'student_c'] const sessions = ['morning', 'afternoon', 'evening'] let balancedTimestamp = Date.now() for (let digit = 0; digit <= 9; digit++) { for (let i = 0; i < 5; i++) { const playerId = players[i % players.length] const sessionId = sessions[Math.floor(i / 2) % sessions.length] balancedTimestamp -= 60000 // 1 minute apart const columnIndex = i balancedDataset.push({ filename: `${balancedTimestamp}_${playerId}_${sessionId}_col${columnIndex}_${randomId()}.png`, digit, timestamp: balancedTimestamp, playerId, sessionId, columnIndex, imageUrl: `/api/vision-training/images/${digit}/mock.png`, }) } } /** * Default view with a balanced dataset of 50 images (5 per digit) */ export const Default: Story = { render: () => <InteractiveViewer images={balancedDataset} />, } /** * Empty state when no images have been collected yet */ export const Empty: Story = { args: { images: [], loading: false, error: null, groupBy: 'digit', }, } /** * Loading state while fetching images */ export const Loading: Story = { args: { images: [], loading: true, error: null, groupBy: 'digit', }, } /** * Error state when API fails */ export const ErrorState: Story = { args: { images: [], loading: false, error: 'Failed to load training images. Check that the API is running.', groupBy: 'digit', }, } /** * Small dataset with ~30 images */ export const SmallDataset: Story = { render: () => <InteractiveViewer images={smallDataset} />, } /** * Medium dataset with ~100 images */ export const MediumDataset: Story = { render: () => <InteractiveViewer images={mediumDataset} />, } /** * Large dataset with ~500 images to test performance */ export const LargeDataset: Story = { render: () => <InteractiveViewer images={largeDataset} />, } /** * Grouped by player to see contributions per student */ export const GroupedByPlayer: Story = { render: () => { const [filterDigit, setFilterDigit] = useState('') const [filterPlayer, setFilterPlayer] = useState('') const [filterSession, setFilterSession] = useState('') const [groupBy, setGroupBy] = useState<GroupBy>('player') const filteredImages = balancedDataset.filter((img) => { if (filterDigit && img.digit !== parseInt(filterDigit, 10)) return false if (filterPlayer && img.playerId !== filterPlayer) return false if (filterSession && img.sessionId !== filterSession) return false return true }) return ( <TrainingImageViewer images={filteredImages} filterDigit={filterDigit} filterPlayer={filterPlayer} filterSession={filterSession} groupBy={groupBy} onFilterDigitChange={setFilterDigit} onFilterPlayerChange={setFilterPlayer} onFilterSessionChange={setFilterSession} onGroupByChange={setGroupBy} renderImage={(img) => <AbacusColumnPreview digit={img.digit} />} /> ) }, } /** * Grouped by session to see data collected per practice session */ export const GroupedBySession: Story = { render: () => { const [filterDigit, setFilterDigit] = useState('') const [filterPlayer, setFilterPlayer] = useState('') const [filterSession, setFilterSession] = useState('') const [groupBy, setGroupBy] = useState<GroupBy>('session') const filteredImages = balancedDataset.filter((img) => { if (filterDigit && img.digit !== parseInt(filterDigit, 10)) return false if (filterPlayer && img.playerId !== filterPlayer) return false if (filterSession && img.sessionId !== filterSession) return false return true }) return ( <TrainingImageViewer images={filteredImages} filterDigit={filterDigit} filterPlayer={filterPlayer} filterSession={filterSession} groupBy={groupBy} onFilterDigitChange={setFilterDigit} onFilterPlayerChange={setFilterPlayer} onFilterSessionChange={setFilterSession} onGroupByChange={setGroupBy} renderImage={(img) => <AbacusColumnPreview digit={img.digit} />} /> ) }, } /** * Filtered to show only digit 5 (demonstrates filtering) */ export const FilteredByDigit: Story = { render: () => { const [filterDigit, setFilterDigit] = useState('5') const [filterPlayer, setFilterPlayer] = useState('') const [filterSession, setFilterSession] = useState('') const [groupBy, setGroupBy] = useState<GroupBy>('digit') const filteredImages = balancedDataset.filter((img) => { if (filterDigit && img.digit !== parseInt(filterDigit, 10)) return false if (filterPlayer && img.playerId !== filterPlayer) return false if (filterSession && img.sessionId !== filterSession) return false return true }) return ( <TrainingImageViewer images={filteredImages} filterDigit={filterDigit} filterPlayer={filterPlayer} filterSession={filterSession} groupBy={groupBy} onFilterDigitChange={setFilterDigit} onFilterPlayerChange={setFilterPlayer} onFilterSessionChange={setFilterSession} onGroupByChange={setGroupBy} renderImage={(img) => <AbacusColumnPreview digit={img.digit} />} /> ) }, } /** * Shows all digits with their abacus representations side by side */ export const AllDigitsShowcase: Story = { render: () => ( <div className={css({ minHeight: '100vh', bg: 'gray.900', color: 'gray.100', p: 6, })} > <h1 className={css({ fontSize: '2xl', fontWeight: 'bold', mb: 4 })}> Abacus Column Reference (0-9) </h1> <p className={css({ color: 'gray.400', fontSize: 'sm', mb: 6 })}> These are the 10 digit representations used for training the column classifier model. </p> <div className={css({ display: 'grid', gridTemplateColumns: 'repeat(10, 1fr)', gap: 4, maxWidth: '900px', })} > {[0, 1, 2, 3, 4, 5, 6, 7, 8, 9].map((digit) => ( <div key={digit} className={css({ display: 'flex', flexDirection: 'column', alignItems: 'center', p: 3, bg: 'gray.800', borderRadius: 'lg', })} > <AbacusColumnPreview digit={digit} /> <div className={css({ fontSize: '2xl', fontWeight: 'bold', fontFamily: 'mono', mt: 2, })} > {digit} </div> </div> ))} </div> <h2 className={css({ fontSize: 'xl', fontWeight: 'bold', mt: 8, mb: 4 })}>How It Works</h2> <div className={css({ display: 'grid', gridTemplateColumns: 'repeat(auto-fit, minmax(200px, 1fr))', gap: 4, maxWidth: '800px', })} > <div className={css({ bg: 'gray.800', p: 4, borderRadius: 'lg' })}> <div className={css({ color: 'blue.400', fontWeight: 'semibold', mb: 2, })} > Heaven Bead (Top) </div> <p className={css({ color: 'gray.400', fontSize: 'sm' })}> Worth 5 when pushed down to the bar </p> </div> <div className={css({ bg: 'gray.800', p: 4, borderRadius: 'lg' })}> <div className={css({ color: 'green.400', fontWeight: 'semibold', mb: 2, })} > Earth Beads (Bottom) </div> <p className={css({ color: 'gray.400', fontSize: 'sm' })}> Worth 1 each when pushed up to the bar (4 beads = 0-4) </p> </div> <div className={css({ bg: 'gray.800', p: 4, borderRadius: 'lg' })}> <div className={css({ color: 'amber.400', fontWeight: 'semibold', mb: 2, })} > Reckoning Bar </div> <p className={css({ color: 'gray.400', fontSize: 'sm' })}> The horizontal bar separating heaven and earth beads </p> </div> </div> </div> ), } |