dekun
e329d3398a
Add FastAPI/React app with Docker deployment, Ubuntu one-click install, and docs for junior/senior high score tracking and mistake bank. Co-authored-by: Cursor <cursoragent@cursor.com>
55 lines
1.9 KiB
Python
55 lines
1.9 KiB
Python
import csv
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import io
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import uuid
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from fastapi import APIRouter, Depends
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from fastapi.responses import StreamingResponse
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from sqlalchemy.orm import Session, joinedload
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from app.core.database import get_db
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from app.core.deps import get_current_user
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from app.models.user import ExamRecord, SubjectScore, User
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from app.services.student_access import get_student_for_user
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router = APIRouter(tags=["export"])
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@router.get("/students/{student_id}/scores/export")
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def export_scores_csv(
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student_id: uuid.UUID,
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user),
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):
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student = get_student_for_user(db, student_id, current_user.id)
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exams = (
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db.query(ExamRecord)
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.options(joinedload(ExamRecord.scores).joinedload(SubjectScore.subject))
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.filter(ExamRecord.student_id == student_id)
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.order_by(ExamRecord.exam_date.asc())
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.all()
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)
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output = io.StringIO()
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writer = csv.writer(output)
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writer.writerow(["考试日期", "考试类型", "标题", "科目", "总分", "得分", "占比"])
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type_map = {"weekly": "周考", "monthly": "月考", "final": "期末"}
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for exam in exams:
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for score in exam.scores:
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writer.writerow([
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exam.exam_date.isoformat(),
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type_map.get(exam.exam_type.value, exam.exam_type.value),
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exam.title or "",
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score.subject.name if score.subject else "",
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float(score.total_score),
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float(score.obtained_score),
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f"{float(score.ratio) * 100:.2f}%",
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])
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output.seek(0)
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filename = f"{student.name}_scores.csv"
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return StreamingResponse(
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iter([output.getvalue().encode("utf-8-sig")]),
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media_type="text/csv",
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headers={"Content-Disposition": f'attachment; filename="{filename}"'},
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)
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