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>
67 lines
2.0 KiB
Python
67 lines
2.0 KiB
Python
from sqlalchemy.orm import Session, joinedload
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from app.core.config import settings
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from app.models.user import ExamRecord, Subject, SubjectScore
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from app.schemas import ExamTypeEnum, TrendPoint, TrendResponse
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def build_trend(db: Session, student_id, subject_id: int) -> TrendResponse:
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subject = db.get(Subject, subject_id)
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if subject is None:
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raise ValueError("科目不存在")
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scores = (
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db.query(SubjectScore)
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.join(ExamRecord)
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.options(joinedload(SubjectScore.exam_record))
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.filter(
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ExamRecord.student_id == student_id,
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SubjectScore.subject_id == subject_id,
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)
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.order_by(ExamRecord.exam_date.asc(), ExamRecord.created_at.asc())
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.all()
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)
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threshold = settings.FLUCTUATION_THRESHOLD
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points: list[TrendPoint] = []
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prev_ratio: float | None = None
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for score in scores:
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exam = score.exam_record
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ratio = float(score.ratio)
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delta = None if prev_ratio is None else ratio - prev_ratio
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direction = None
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is_volatile = False
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if delta is not None:
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if delta > 0:
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direction = "up"
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elif delta < 0:
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direction = "down"
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else:
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direction = "flat"
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is_volatile = abs(delta) >= threshold
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points.append(
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TrendPoint(
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exam_id=exam.id,
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exam_type=ExamTypeEnum(exam.exam_type.value),
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exam_date=exam.exam_date,
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title=exam.title,
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ratio=ratio,
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ratio_percent=round(ratio * 100, 2),
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delta=delta,
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delta_percent=round(delta * 100, 2) if delta is not None else None,
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is_volatile=is_volatile,
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direction=direction,
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)
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)
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prev_ratio = ratio
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return TrendResponse(
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subject_id=subject_id,
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subject_name=subject.name,
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threshold=threshold,
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points=points,
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)
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