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Commit History
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fix eslint promise handling and hook deps in answer grid editor
taboola0da3ed0
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fix question generation and auto-confirm answer grid
taboolabc3e443
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restore demo data, remove category breakdown
taboola1acff4f
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error message in generate student report, gate quiz records on final save, randomize question bank, UI changes
tabooladc384f2 -
label image questions in report, warn on incomplete download, changes to report aesthetics
taboola8bbeab6 -
fix empty image questions on upload, label compound questions, reduce grid re-saves
taboolaa43df97
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count quizzes only once saved (not on upload), remove preview emoji
taboolaaf5c2f3 -
fix student records, dashboard illustration changed, report generation fixed, and UI changes
taboola8b33cc0
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question generation feature, date selection, changes to UI login page and icons
taboolac2c3b04
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rebuild the pdf parsing logic
Yu Chen8d3145b -
fix the answer parsing not aligned logic
Yu Chen1ce0b71 -
Refactor to add answer grid & assoicate llm parsing
Yu Chenad5d4b6
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Simplify: send raw data to LLM, let user's prompt control interpretation
chih.yikuan +1: Claude Opus 4.6 (1M context)Remove all backend filtering logic (correct markers, teacher answer comparison). Now sends raw student answers + all questions + teacher answers (if any) directly into the prompt template. The user controls how data is interpreted via the prompt editor (e.g. "'-' means correct"). Default prompt includes data format instructions. Preview and generate endpoints both accept the user's prompt_template. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>34b22f3 -
Add final prompt preview tab with real student data substitution
chih.yikuan +1: Claude Opus 4.6 (1M context)DataPreviewModal now opens on "最終提示詞" tab first, showing the actual filled prompt for a selected student with {wrong_questions}, {wrong_answers} etc. replaced by real data. Users can switch students via dropdown to see each student's specific prompt. Textareas are resizable. Backend adds /preview-student-prompt endpoint. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>5722fbf -
Add prompt editor and data preview back to Step 2
chih.yikuan +1: Claude Opus 4.6 (1M context)Step 2 now has: student checkboxes → prompt editor (save/load) → "預覽分析資料" button → DataPreviewModal → "生成報告". Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>40aa09c -
Redesign Step 2: per-student report generation with wrong-answer filtering
chih.yikuan +1: Claude Opus 4.6 (1M context)Step 2 now shows a student checklist instead of prompt editor. Users select which students to generate reports for. Backend filters each student's wrong answers and only sends the relevant questions + wrong answers to the LLM, dramatically reducing prompt size. Reports generate sequentially with live progress in Step 3's tabbed viewer. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>f002ae5 -
Add data preview modal before report generation
chih.yikuan +1: Claude Opus 4.6 (1M context)Users can now review and edit parsed JSON data (questions, student answers, teacher answers) in a tabbed modal before generating the report. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>e1ed51d
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Redesign ClassLens v2: 3-step exam analysis workflow
chih.yikuan +1: Claude Opus 4.6Replace ChatKit-based chat UI with a structured 3-step workflow: 1. Upload & parse exam files (questions, student answers, teacher answers) via GPT Vision 2. Edit analysis prompts with save/load/share functionality 3. Generate and export HTML reports (PDF/PNG) - Add JWT email/password auth (replace Google OAuth) - Add file processor with multi-format support (PDF, images, text files) - Add image-to-text description for visual exam content - Add model selector (GPT-5.4, 5.3 Instant, 4o, etc.) - Add per-zone file upload with inline parsed data preview - Remove ChatKit SDK, Google Sheets, email service dependencies - Remove .env from tracking (contains API keys) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>bc45e54