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fix: resolve file conversion import error and enhance prompt examples
- Remove redundant relative import that caused ImportError when running file_conversion.py directly - Remove debug print statement from production code - Add descriptive message fields to all prompt examples for better feedback - Examples now clearly explain what content was extracted and what was skipped
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‎CLAUDE.md‎

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## todos
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- enhance file-conversion prompt with examples
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- convert to Chinese interface
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- update README with new images of interface with highlights

‎backend/file_conversion.py‎

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@@ -241,7 +241,6 @@ async def convert_files(self, request: FileConversionRequest) -> FileConversionR
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output_filename = f"{base_filename}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.yaml"
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# 5. Save YAML file
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from .paths import get_paths
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paths = get_paths()
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exams_dir = paths.exams_dir
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output_path = exams_dir / output_filename

‎backend/omni_client.py‎

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@@ -168,7 +168,7 @@ async def _process_omni_request(
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f"{self.base_url}/chat/completions",
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headers=headers,
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json=payload,
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timeout=aiohttp.ClientTimeout(total=120.0)
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timeout=aiohttp.ClientTimeout(total=300.0)
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) as response:
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if response.status != 200:

‎prompts/file_conversion.txt‎

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## Guidelines:
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- For multiple_choice: Always provide exactly 4 options (A, B, C, D)
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- If no valid questions found, set success: false and explain why
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- If geometric/visual content detected, mention it in the message
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- If geometric/visual content detected, mention it in the message
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## Examples:
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1. **Example One**
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Input:
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```docx
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Set 1
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Read:
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1. She's a graceful old lady with a heart of gold.
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Quick response:
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1. Please give me that red fluffy toy. (Here you are)
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Set 2
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Read:
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1. Junuary
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Quick response:
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1. Thanks for your timely help. (You're welcome.)
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```
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Output:
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{{
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"success": true,
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"message": "Extracted 4 questions from 2 sets: 2 read aloud and 2 quick response questions",
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"extracted_questions": [
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{{
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"id": "ra1",
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"type": "read_aloud",
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"text": "January" // easy questions first
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}},
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{{
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"id": "ra2",
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"type": "read_aloud",
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"text": "She's a graceful old lady with a heart of gold"
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}},
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{{
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"id": "qr1",
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"type": "quick_response",
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"text": "Please give me that red fluffy toy." // read_aloud -> multiple_choice (not present here, skip) -> quick_response -> translation (not present, skip)
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}},
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{{
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"id": "qr2",
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"type": "quick_response",
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"text": "Thanks for your timely help." // even though the reference answer is provided here, you don't need to include it
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}}
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]
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}}
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2. **Example Two**
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Input:
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```txt
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跟读 (3+3+2)
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satellite volleyball tomato supermarket
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Agricultural Bank of China
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快速应答
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When was the Spring Festival/the Lantern Festival this year?
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中译英
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Xiaoming lives in Beijing, a student of Grade Five from Renmin Primary School.
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My telephone number is
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Every morning I brush my teeth, wash my face and have my breakfast
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My Favorite City
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My Best Friend
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```
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Output:
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{{
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"success": true,
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"message": "Extracted 7 questions: 5 read aloud words/phrases, 2 quick response questions, and 2 translation questions. Skipped incomplete sentences and age-inappropriate content",
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"extracted_questions": [
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{{
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"id": "ra1",
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"type": "read_aloud",
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"text": "satellite" // each read_aloud question should be a coherent word, phrase or sentence, so you need to separate "satellite", "volleyball", "tomato" and "supermarket" even though they're in the a line
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}},
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...
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{{
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"id": "ra5",
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"type": "read_aloud",
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"text": "Agricultural Bank of China"
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}},
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{{
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"id": "qr1",
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"type": "quick_response",
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"text": "When was the Spring Festival this year?" // when you see this `/` slash, separate it to two questions (you don't want the student to answer both in 10 seconds)
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}},
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{{
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"id": "qr2",
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"type": "quick_response",
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"text": "When was the Lantern Festival this year?"
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}}
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{{
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"id": "tr1",
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"type": "translation",
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"text": "小明住在北京，是一个人民小学的五年级学生。" // if it's provided as the answer (English), you need to translate it back to Chinese so it becomes the question text.
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}},
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{{
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"id": "tr2",
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"type": "translation",
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"text": "我每天早上刷牙，洗脸，吃早餐。“ // skip "My telephone number is ", that's not a valid sentence.
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}}
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] // skip "My Favorite City" and "My Best Friend" also, they're also not a complete sentence, not suitable for translation questions
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}}
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3. **Example Three**
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Input:
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```markdown
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# Paper 1
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Would you like me to carry the suitcase for you, Mrs. Lee?
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不要忘了去参观上海科技馆。
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# Paper 2
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reach out to sb.
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这个公司成功地设计了几辆车、
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浔阳江头夜送客，枫叶荻花秋瑟瑟。
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主人下马客在船，举酒欲饮无管弦。
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醉不成欢惨将别，别时茫茫江浸月。
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忽闻水上琵琶声，主人忘归客不发。
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```
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Output:
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{{
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"success": true,
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"message": "Extracted 4 questions from mixed content: 1 read aloud phrase, 1 quick response, and 2 translation questions. Skipped classical poetry as too complex for 10-year-olds",
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"extracted_questions": [
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{{
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"id": "ra1",
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"type": "read_aloud",
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"text": "reach out to sb."
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}},
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{{
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"id": "qr1",
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"type": "quick_response",
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"text": "Would you like me to carry the suitcase for you, Mrs.Lee?"
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}},
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{{
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"id": "tr1",
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"type": "translation",
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"text": "不要忘了去参观上海科技馆。"
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}},
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{{
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"id": "tr2",
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"type": "translation",
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"text": "这个公司成功地设计了几辆车。"
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}}
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] // the poetry below is too hard for 10-year-old kids to translate, probably for question types beyond read_aloud, multiple_choice, quick_response and translation, skip.
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}}
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