109 lines
4.2 KiB
JavaScript
109 lines
4.2 KiB
JavaScript
#!/usr/bin/env node
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import fs from 'fs'
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import path from 'path'
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import process from 'process'
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const root = process.cwd()
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const catalogPath = path.join(root, 'src', 'lib', 'prompt-i18n', 'catalog.ts')
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const chineseCharPattern = /[\p{Script=Han}]/u
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const singlePlaceholderPattern = /\{([A-Za-z0-9_]+)\}/g
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const doublePlaceholderPattern = /\{\{([A-Za-z0-9_]+)\}\}/g
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const criticalTemplateTokens = new Map([
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['novel-promotion/voice_analysis', ['"lineIndex"', '"speaker"', '"content"', '"emotionStrength"', '"matchedPanel"']],
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['novel-promotion/agent_storyboard_plan', ['"panel_number"', '"description"', '"characters"', '"location"', '"scene_type"', '"source_text"', '"shot_type"', '"camera_move"', '"video_prompt"']],
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['novel-promotion/agent_storyboard_detail', ['"panel_number"', '"description"', '"characters"', '"location"', '"scene_type"', '"source_text"', '"shot_type"', '"camera_move"', '"video_prompt"']],
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['novel-promotion/agent_storyboard_insert', ['"panel_number"', '"description"', '"characters"', '"location"', '"scene_type"', '"source_text"', '"shot_type"', '"camera_move"', '"video_prompt"']],
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['novel-promotion/screenplay_conversion', ['"clip_id"', '"scenes"', '"heading"', '"content"', '"dialogue"', '"voiceover"']],
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['novel-promotion/select_location', ['"locations"', '"name"', '"summary"', '"descriptions"']],
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['novel-promotion/episode_split', ['"analysis"', '"episodes"', '"startMarker"', '"endMarker"', '"validation"']],
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['novel-promotion/image_prompt_modify', ['"image_prompt"', '"video_prompt"']],
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['novel-promotion/character_create', ['"prompt"']],
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['novel-promotion/location_create', ['"prompt"']],
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])
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function fail(title, details = []) {
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console.error(`\n[prompt-semantic-regression] ${title}`)
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for (const line of details) {
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console.error(` - ${line}`)
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}
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process.exit(1)
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}
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function parseCatalog(text) {
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const entries = []
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const entryPattern = /pathStem:\s*'([^']+)'\s*,[\s\S]*?variableKeys:\s*\[([\s\S]*?)\]\s*,/g
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for (const match of text.matchAll(entryPattern)) {
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const pathStem = match[1]
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const rawKeys = match[2] || ''
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const keys = Array.from(rawKeys.matchAll(/'([^']+)'/g)).map((item) => item[1])
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entries.push({ pathStem, variableKeys: keys })
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}
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return entries
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}
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function extractPlaceholders(template) {
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const keys = new Set()
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for (const match of template.matchAll(singlePlaceholderPattern)) {
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if (match[1]) keys.add(match[1])
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}
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for (const match of template.matchAll(doublePlaceholderPattern)) {
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if (match[1]) keys.add(match[1])
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}
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return Array.from(keys)
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}
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if (!fs.existsSync(catalogPath)) {
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fail('catalog.ts not found', ['src/lib/prompt-i18n/catalog.ts'])
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}
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const catalogText = fs.readFileSync(catalogPath, 'utf8')
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const entries = parseCatalog(catalogText)
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if (entries.length === 0) {
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fail('failed to parse prompt catalog entries')
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}
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const violations = []
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for (const entry of entries) {
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const templatePath = path.join(root, 'lib', 'prompts', `${entry.pathStem}.en.txt`)
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if (!fs.existsSync(templatePath)) {
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violations.push(`missing template: lib/prompts/${entry.pathStem}.en.txt`)
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continue
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}
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const template = fs.readFileSync(templatePath, 'utf8')
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if (chineseCharPattern.test(template)) {
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violations.push(`unexpected Chinese content in English template: lib/prompts/${entry.pathStem}.en.txt`)
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}
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const placeholders = extractPlaceholders(template)
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const placeholderSet = new Set(placeholders)
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const variableKeySet = new Set(entry.variableKeys)
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for (const key of entry.variableKeys) {
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if (!placeholderSet.has(key)) {
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violations.push(`missing placeholder {${key}} in lib/prompts/${entry.pathStem}.en.txt`)
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}
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}
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for (const key of placeholders) {
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if (!variableKeySet.has(key)) {
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violations.push(`unexpected placeholder {${key}} in lib/prompts/${entry.pathStem}.en.txt`)
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}
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}
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const requiredTokens = criticalTemplateTokens.get(entry.pathStem) || []
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for (const token of requiredTokens) {
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if (!template.includes(token)) {
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violations.push(`missing semantic token ${token} in lib/prompts/${entry.pathStem}.en.txt`)
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}
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}
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}
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if (violations.length > 0) {
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fail('semantic regression check failed', violations)
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}
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console.log(`[prompt-semantic-regression] OK (${entries.length} templates checked)`)
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