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* feat: inline language inference in outline generation Replace manual language selection with automatic inference from user requirement text. The outline generator now produces a languageDirective that propagates through the entire generation pipeline. Key changes: - Rewrite Language Inference section in outline prompt with decision rules for foreign language learning, cross-language PDF, proxy requests, and terminology handling - Reorder pipeline: outlines before agents, so agent profiles can use the inferred languageDirective - Pass languageDirective through scene content/actions generation - Add SSE streaming of languageDirective from outline generation - Remove manual language selection UI Eval test suite: - 50 test cases covering 9 scenario types: single-language, language learning, immersive, explicit instruction, code-switching, minimal input, user profiles, cross-language PDF, locale mismatch - LLM-as-judge evaluation with configurable inference/judge models - 50/50 pass rate with gemini-3-flash-preview + gpt-4o judge - Excluded from CI (requires LLM API keys) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: remove useless attributes in test case * feat: pass languageDirective to PBL, remove hardcoded zh-CN/en-US - Remove pblConfig.language field, use languageDirective from outline inference instead - Delete all Chinese prompt duplicates in pbl-system-prompt.ts, agent-templates.ts; keep English templates with languageDirective injection - Remove zh-CN/en-US branches in generate-pbl.ts (initial prompt, post-process context, welcome message) - Pipe languageDirective through scene-generator → generatePBLContent → IssueboardMCP → agent templates - Remove i18n template wrapping from PBL welcome messages in pbl-renderer.tsx and use-pbl-chat.ts; use LLM-generated content directly to avoid language mismatch when UI locale ≠ course language - Update pblConfig schema in outline prompt (remove language field) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor: clean up legacy language fields, pass languageDirective through buildSceneFromOutline - Add languageDirective param to buildSceneFromOutline, combining with outline.languageNote via buildLanguageText - Remove dead types: AudienceProfile, StylePreferences, LegacyUserRequirements, SceneOutline.language - Remove Stage.language and all its propagation (storage, stageInfo, prompt-builder fallback) - Remove GenerateClassroomInput.language and job store inputSummary.language - Remove unused pdfLanguageSample from outline SSE route Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: persist languageDirective to IndexedDB, fix TTS preview and dead refs - Add languageDirective to StageRecord and stage-storage write path - Add DB v9 migration: convert legacy language locale codes to directives - Use voice.language for TTS preview text instead of dead localStorage key - Omit empty ## Language section in PBL agent prompts - Use JSON.parse for extractLanguageDirective unescape (\uXXXX support) - Remove dead i18n keys: toolbar.languageHint, pbl.chat.welcomeMessage Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
24 lines
662 B
TypeScript
24 lines
662 B
TypeScript
/**
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* Load .env.local before tests so API keys are available.
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*/
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import { readFileSync } from 'fs';
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import { resolve } from 'path';
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const envPath = resolve(__dirname, '..', '.env.local');
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try {
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const content = readFileSync(envPath, 'utf-8');
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for (const line of content.split('\n')) {
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const trimmed = line.trim();
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if (!trimmed || trimmed.startsWith('#')) continue;
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const eqIdx = trimmed.indexOf('=');
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if (eqIdx < 0) continue;
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const key = trimmed.slice(0, eqIdx).trim();
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const value = trimmed.slice(eqIdx + 1).trim();
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if (!process.env[key]) {
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process.env[key] = value;
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}
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}
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} catch {
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// .env.local not found, skip
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}
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