hermes-agent/apps/desktop/src/lib/embedded-images.ts
Brooklyn Nicholson 62fe9fd101 style(desktop,tui): fix all lint/type/formatting issues
Bring apps/desktop and ui-tui to a clean state for typecheck, eslint,
and prettier:

- Run prettier across both trees (printWidth/wrap drift; prettier is not
  CI-enforced for these JS projects, so main had accumulated drift).
- Apply eslint --fix for padding-line-between-statements and perfectionist
  import/export sorting.
- Manual fixes for non-auto-fixable rules:
  - remove unused node:net import in electron/main.cjs (uses Electron net)
  - replace inline `typeof import(...)` annotations with top-level
    `import type * as EnvModule` in two ui-tui test files
  - scoped eslint-disable no-control-regex on intentional sentinel/ANSI
    regexes (mathUnicode.ts, text.ts)
  - resolve react-hooks/exhaustive-deps per-case: correct swapped/missing
    deps, collapse redundant session.* members, and justified disables on
    settings mount-only data-load effects to preserve run-once behavior

No behavior changes; test pass/fail counts are unchanged from the main
baseline.
2026-06-26 01:04:33 -05:00

162 lines
4 KiB
TypeScript

const DATA_URL_RE = /^data:([\w./+-]+);base64,(.*)$/i
const DATA_IMAGE_PREFIX = 'data:image/'
const BASE64_MARKER = ';base64,'
const MIN_EMBEDDED_IMAGE_BASE64_LENGTH = 64
const JSON_IMAGE_OPEN_RE = /\{\s*"type"\s*:\s*"image_url"\s*,\s*"image_url"\s*:\s*\{\s*"url"\s*:\s*"$/
const JSON_IMAGE_CLOSE_RE = /^"\s*\}\s*\}/
const JSON_IMAGE_OPEN_MAX = 96
const JSON_IMAGE_CLOSE_MAX = 16
export const DATA_IMAGE_URL_RE = /^data:image\/[\w.+-]+;base64,/i
export interface EmbeddedImageExtraction {
cleanedText: string
images: string[]
}
export function dataUrlToBlob(dataUrl: string): Blob | null {
const match = DATA_URL_RE.exec(dataUrl.trim())
if (!match) {
return null
}
try {
const bytes = atob(match[2])
const buffer = new Uint8Array(bytes.length)
for (let i = 0; i < bytes.length; i += 1) {
buffer[i] = bytes.charCodeAt(i)
}
return new Blob([buffer], { type: match[1] })
} catch {
return null
}
}
function isImageMimeCode(code: number): boolean {
return (
(code >= 48 && code <= 57) ||
(code >= 65 && code <= 90) ||
(code >= 97 && code <= 122) ||
code === 43 ||
code === 45 ||
code === 46 ||
code === 95
)
}
function isBase64Code(code: number): boolean {
return (
(code >= 48 && code <= 57) ||
(code >= 65 && code <= 90) ||
(code >= 97 && code <= 122) ||
code === 43 ||
code === 47 ||
code === 61
)
}
function readDataImageUrl(text: string, start: number): { end: number; url: string } | null {
if (!text.startsWith(DATA_IMAGE_PREFIX, start)) {
return null
}
let cursor = start + DATA_IMAGE_PREFIX.length
while (cursor < text.length && isImageMimeCode(text.charCodeAt(cursor))) {
cursor += 1
}
if (cursor === start + DATA_IMAGE_PREFIX.length || !text.startsWith(BASE64_MARKER, cursor)) {
return null
}
cursor += BASE64_MARKER.length
const base64Start = cursor
while (cursor < text.length && isBase64Code(text.charCodeAt(cursor))) {
cursor += 1
}
if (cursor - base64Start < MIN_EMBEDDED_IMAGE_BASE64_LENGTH) {
return null
}
return { end: cursor, url: text.slice(start, cursor) }
}
function embeddedImageRemovalRange(text: string, dataStart: number, dataEnd: number): { end: number; start: number } {
let start = dataStart
let end = dataEnd
const openSearchStart = Math.max(0, dataStart - JSON_IMAGE_OPEN_MAX)
const openMatch = text.slice(openSearchStart, dataStart).match(JSON_IMAGE_OPEN_RE)
if (openMatch?.index !== undefined) {
const close = text.slice(dataEnd, dataEnd + JSON_IMAGE_CLOSE_MAX).match(JSON_IMAGE_CLOSE_RE)
if (close) {
start = openSearchStart + openMatch.index
end = dataEnd + close[0].length
}
}
return { end, start }
}
function normalizeCleanedText(text: string): string {
return text
.replace(/[ \t]+\n/g, '\n')
.replace(/\n{3,}/g, '\n\n')
.trim()
}
export function extractEmbeddedImages(text: string): EmbeddedImageExtraction {
if (!text || !text.includes(DATA_IMAGE_PREFIX)) {
return { cleanedText: text, images: [] }
}
const images: string[] = []
const pieces: string[] = []
let appendCursor = 0
let searchCursor = 0
while (searchCursor < text.length) {
const dataStart = text.indexOf(DATA_IMAGE_PREFIX, searchCursor)
if (dataStart === -1) {
break
}
const dataUrl = readDataImageUrl(text, dataStart)
if (!dataUrl) {
searchCursor = dataStart + DATA_IMAGE_PREFIX.length
continue
}
const range = embeddedImageRemovalRange(text, dataStart, dataUrl.end)
pieces.push(text.slice(appendCursor, range.start))
images.push(dataUrl.url)
appendCursor = range.end
searchCursor = range.end
}
if (!images.length) {
return { cleanedText: text, images: [] }
}
pieces.push(text.slice(appendCursor))
return { cleanedText: normalizeCleanedText(pieces.join('')), images }
}
export function embeddedImageUrls(text: string): string[] {
return extractEmbeddedImages(text).images
}
export function textWithoutEmbeddedImages(text: string): string {
return extractEmbeddedImages(text).cleanedText
}