pdf-quiz-generator/backend/app/routers/questions.py
Daniel d0518d0737 Add comprehensive structured logging with Loki + Grafana
Backend logging:
- Centralized JSON logging config with LOG_LEVEL env var
- Request logging middleware: user, method, path, status, duration, request_id
- Fixed all 9 silent except:pass blocks to log warnings with tracebacks
- Celery workers use same structured JSON format

Infrastructure:
- Loki 3.3.2 for log storage (30-day retention)
- Promtail 3.3.2 for Docker container log shipping
- Grafana 10.3.1 with auto-provisioned Loki datasource
- Grafana on port 3002 (admin/pedshub_grafana)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-11 02:53:54 +02:00

836 lines
32 KiB
Python

"""Question bank — view, search, categorise, and create quizzes from individual questions."""
import csv
import io
import logging
import os
import re
import uuid
logger = logging.getLogger(__name__)
from fastapi import APIRouter, Depends, HTTPException, Query, UploadFile, File, Form
from fastapi.responses import StreamingResponse
from pydantic import BaseModel
from sqlalchemy import cast, String, or_, text as sa_text, func
from sqlalchemy.orm import Session
from app.database import get_db
from app.models.question import Question
from app.models.question_category import QuestionCategory
from app.models.quiz import Quiz
from app.models.user import User
from app.models.favorite import Favorite
from app.utils.auth import get_current_user, require_moderator
router = APIRouter()
@router.delete("/{question_id}", status_code=204)
def delete_question(
question_id: int,
db: Session = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Delete a question. Moderators can delete any; regular users can delete their own."""
question = db.query(Question).filter(Question.id == question_id).first()
if not question:
raise HTTPException(status_code=404, detail="Question not found")
is_mod = current_user.role in ("admin", "moderator")
if not is_mod:
# Regular users can only delete questions they created (no source quiz)
if question.source_quiz_id is not None:
raise HTTPException(status_code=403, detail="Only moderators can delete extracted questions")
db.delete(question)
db.commit()
class QuestionEdit(BaseModel):
question_text: str | None = None
question_type: str | None = None
options: list[str] | None = None
correct_answer: str | None = None
explanation: str | None = None
question_category_id: int | None = None
image_path: str | None = None
@router.patch("/{question_id}")
def edit_question(
question_id: int,
data: QuestionEdit,
db: Session = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Edit a question. Owner or moderator can edit."""
question = db.query(Question).filter(Question.id == question_id).first()
if not question:
raise HTTPException(status_code=404, detail="Question not found")
is_mod = current_user.role in ("admin", "moderator")
if question.user_id != current_user.id and not is_mod:
raise HTTPException(status_code=403, detail="Not authorized to edit this question")
for field, value in data.model_dump(exclude_unset=True).items():
setattr(question, field, value)
db.commit()
db.refresh(question)
return {
"id": question.id,
"question_text": question.question_text,
"question_type": question.question_type,
"options": question.options,
"correct_answer": question.correct_answer,
"explanation": question.explanation,
"question_category_id": question.question_category_id,
"image_path": question.image_path,
}
@router.patch("/{question_id}/share")
def toggle_question_share(
question_id: int,
shared: int = Query(..., description="1 = shared, 0 = private"),
db: Session = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Toggle question sharing. Owner or admin can change."""
question = db.query(Question).filter(Question.id == question_id).first()
if not question:
raise HTTPException(status_code=404, detail="Question not found")
is_admin = current_user.role in ("admin", "moderator")
if question.user_id != current_user.id and not is_admin:
raise HTTPException(status_code=403, detail="Not your question")
question.is_shared = 1 if shared else 0
db.commit()
return {"id": question_id, "is_shared": question.is_shared}
@router.patch("/{question_id}/category")
def set_question_category(
question_id: int,
category_id: int | None = None,
db: Session = Depends(get_db),
current_user: User = Depends(require_moderator),
):
"""Assign or remove a question category."""
question = db.query(Question).filter(Question.id == question_id).first()
if not question:
raise HTTPException(status_code=404, detail="Question not found")
if category_id is not None:
cat = db.query(QuestionCategory).filter(QuestionCategory.id == category_id).first()
if not cat:
raise HTTPException(status_code=404, detail="Category not found")
question.question_category_id = category_id
db.commit()
return {"question_id": question_id, "question_category_id": category_id}
@router.get("/bank/ids")
def get_bank_ids(
q: str | None = Query(None),
quiz_id: int | None = Query(None),
category_id: int | None = Query(None),
category_ids: str | None = Query(None, description="Comma-separated category IDs (OR filter)"),
uncategorized: bool = Query(False),
favorites_only: bool = Query(False),
tag_ids: str | None = Query(None, description="Comma-separated tag IDs (AND filter)"),
db: Session = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Return just IDs for all matching questions (for server-side select-all)."""
query = db.query(Question.id)
if quiz_id:
query = query.filter(Question.source_quiz_id == quiz_id)
if category_ids:
cat_id_list = [int(c.strip()) for c in category_ids.split(",") if c.strip().isdigit()]
if cat_id_list:
query = query.filter(Question.question_category_id.in_(cat_id_list))
elif category_id is not None:
query = query.filter(Question.question_category_id == category_id)
if uncategorized:
query = query.filter(Question.question_category_id.is_(None))
if favorites_only:
favorite_ids = db.query(Favorite.question_id).filter(Favorite.user_id == current_user.id).all()
fav_ids = [f[0] for f in favorite_ids]
if not fav_ids:
return []
query = query.filter(Question.id.in_(fav_ids))
if q and q.strip():
phrase = q.strip()
query = query.filter(
or_(
Question.question_text.ilike(f"%{phrase}%"),
cast(Question.options, String).ilike(f"%{phrase}%"),
)
)
# Tag filter: questions must have ALL specified tags
if tag_ids:
tag_id_list = [int(t.strip()) for t in tag_ids.split(",") if t.strip().isdigit()]
if tag_id_list:
matching_ids = list(db.execute(sa_text("""
SELECT question_id FROM question_tag_links
WHERE tag_id = ANY(:tag_ids)
GROUP BY question_id
HAVING COUNT(DISTINCT tag_id) = :cnt
"""), {"tag_ids": tag_id_list, "cnt": len(tag_id_list)}).scalars())
if matching_ids:
query = query.filter(Question.id.in_(matching_ids))
else:
return []
return [row[0] for row in query.all()]
@router.get("/bank")
def get_question_bank(
q: str | None = Query(None),
quiz_id: int | None = Query(None),
category_id: int | None = Query(None),
category_ids: str | None = Query(None, description="Comma-separated category IDs (OR filter)"),
uncategorized: bool = Query(False),
favorites_only: bool = Query(False),
my_questions: bool = Query(False, description="Show only questions created by current user"),
tag_ids: str | None = Query(None, description="Comma-separated tag IDs (AND filter)"),
search_mode: str = Query("hybrid"), # "keyword" | "semantic" | "hybrid"
limit: int = Query(50, le=200),
offset: int = Query(0),
db: Session = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""List all questions across all quizzes. Supports keyword filter and quiz filter."""
if my_questions:
query = db.query(Question).filter(Question.user_id == current_user.id)
else:
query = db.query(Question).filter(
or_(
Question.is_shared == 1,
Question.is_shared.is_(None), # legacy questions without is_shared
Question.user_id == current_user.id, # always show own questions
)
)
if quiz_id:
query = query.filter(Question.source_quiz_id == quiz_id)
if category_ids:
cat_id_list = [int(c.strip()) for c in category_ids.split(",") if c.strip().isdigit()]
if cat_id_list:
query = query.filter(Question.question_category_id.in_(cat_id_list))
elif category_id is not None:
query = query.filter(Question.question_category_id == category_id)
if uncategorized:
query = query.filter(Question.question_category_id.is_(None))
# Tag filter: questions must have ALL specified tags
if tag_ids:
import logging as _log
_log.getLogger(__name__).info(f"Tag filter: tag_ids={tag_ids!r}")
tag_id_list = [int(t.strip()) for t in tag_ids.split(",") if t.strip().isdigit()]
if tag_id_list:
matching_ids = list(db.execute(sa_text("""
SELECT question_id FROM question_tag_links
WHERE tag_id = ANY(:tag_ids)
GROUP BY question_id
HAVING COUNT(DISTINCT tag_id) = :cnt
"""), {"tag_ids": tag_id_list, "cnt": len(tag_id_list)}).scalars())
_log.getLogger(__name__).info(f"Tag filter matched {len(matching_ids)} questions for tags {tag_id_list}")
if matching_ids:
query = query.filter(Question.id.in_(matching_ids))
else:
return {"total": 0, "questions": []}
if favorites_only:
favorite_ids = db.query(Favorite.question_id).filter(Favorite.user_id == current_user.id).all()
fav_ids = [f[0] for f in favorite_ids]
if not fav_ids:
return {"total": 0, "questions": []}
query = query.filter(Question.id.in_(fav_ids))
# ── Semantic search (pgvector) ─────────────────────────────────
semantic_ids_ordered: list[int] = []
if q and q.strip() and search_mode in ("semantic", "hybrid"):
from app.services.embedding_service import generate_embedding
emb = generate_embedding(q.strip())
if emb:
# Validate all values are finite floats before interpolating into SQL
emb_literal = "[" + ",".join(str(float(x)) for x in emb) + "]"
rows = db.execute(sa_text("""
SELECT id, 1 - (embedding <=> CAST(:vec AS vector)) AS sim
FROM questions
WHERE embedding IS NOT NULL
ORDER BY embedding <=> CAST(:vec AS vector)
LIMIT :lim
"""), {"vec": emb_literal, "lim": limit * 2}).fetchall()
semantic_ids_ordered = [r.id for r in rows if float(r.sim) >= 0.55]
# ── Keyword filter ─────────────────────────────────────────────
if q and q.strip() and search_mode in ("keyword", "hybrid"):
phrase = q.strip()
query = query.filter(
or_(
Question.question_text.ilike(f"%{phrase}%"),
cast(Question.options, String).ilike(f"%{phrase}%"),
)
)
# Apply semantic ID filter if semantic-only mode
if q and q.strip() and search_mode == "semantic" and semantic_ids_ordered:
query = query.filter(Question.id.in_(semantic_ids_ordered))
total = query.count()
questions = query.order_by(Question.source_quiz_id, Question.id).offset(offset).limit(limit).all()
# If hybrid: merge semantic first then keyword remainder
if semantic_ids_ordered and search_mode == "hybrid":
sem_set = set(semantic_ids_ordered)
sem_qs = [qu for qu in questions if qu.id in sem_set]
kw_qs = [qu for qu in questions if qu.id not in sem_set]
# Sort semantic by original similarity order
sem_order = {qid: i for i, qid in enumerate(semantic_ids_ordered)}
sem_qs.sort(key=lambda qu: sem_order.get(qu.id, 999))
questions = sem_qs + kw_qs
quiz_cache: dict[int, str] = {}
cat_cache: dict[int, str] = {}
result = []
for qu in questions:
src_id = qu.source_quiz_id
if src_id not in quiz_cache:
quiz = db.query(Quiz).filter(Quiz.id == src_id).first() if src_id else None
quiz_cache[src_id] = quiz.title if quiz else (f"Quiz {src_id}" if src_id else "Unknown")
cat_name = None
if qu.question_category_id:
if qu.question_category_id not in cat_cache:
cat = db.query(QuestionCategory).filter(QuestionCategory.id == qu.question_category_id).first()
cat_cache[qu.question_category_id] = cat.name if cat else None
cat_name = cat_cache.get(qu.question_category_id)
result.append({
"id": qu.id,
"quiz_id": qu.source_quiz_id,
"quiz_title": quiz_cache[src_id],
"question_category_id": qu.question_category_id,
"question_category_name": cat_name,
"question_text": qu.question_text,
"question_type": qu.question_type,
"options": qu.options,
"correct_answer": qu.correct_answer,
"explanation": qu.explanation,
"image_path": qu.image_path,
"user_id": qu.user_id,
"is_shared": qu.is_shared if qu.is_shared is not None else 1,
})
return {"total": total, "questions": result}
def _strip_html(text: str) -> str:
"""Remove HTML tags and decode entities, returning plain text."""
if not text:
return text
# Remove tags
clean = re.sub(r"<[^>]+>", " ", text)
# Decode common entities
clean = clean.replace("&nbsp;", " ").replace("&amp;", "&").replace("&lt;", "<").replace("&gt;", ">").replace("&quot;", '"')
# Collapse whitespace
clean = re.sub(r"\s+", " ", clean).strip()
return clean
UPLOAD_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), "..", "uploads", "questions")
os.makedirs(UPLOAD_DIR, exist_ok=True)
class ManualQuestionCreate(BaseModel):
question_text: str
question_type: str = "mcq"
options: list[str] | None = None
correct_answer: str
explanation: str | None = None
question_category_id: int | None = None
image_path: str | None = None
@router.post("/create")
def create_question_manually(
data: ManualQuestionCreate,
db: Session = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Create a single question manually (not from PDF extraction)."""
q_text = data.question_text.strip()
if not q_text:
raise HTTPException(status_code=400, detail="Question text is required")
if not data.correct_answer.strip():
raise HTTPException(status_code=400, detail="Correct answer is required")
if data.question_type == "mcq" and (not data.options or len(data.options) < 2):
raise HTTPException(status_code=400, detail="MCQ questions need at least 2 options")
if data.question_type == "mcq" and data.correct_answer not in data.options:
raise HTTPException(status_code=400, detail="Correct answer must be one of the options")
question = Question(
question_text=q_text,
question_type=data.question_type,
options=data.options,
correct_answer=data.correct_answer.strip(),
explanation=data.explanation,
question_category_id=data.question_category_id,
image_path=data.image_path,
user_id=current_user.id,
is_shared=1,
)
db.add(question)
db.commit()
db.refresh(question)
# Generate embedding in background
try:
from app.services import embedding_service
embedding_service.embed_question(question)
db.commit()
except Exception:
logger.warning("Failed to generate embedding for question %d", question.id, exc_info=True)
return {
"id": question.id,
"question_text": question.question_text,
"question_type": question.question_type,
"options": question.options,
"correct_answer": question.correct_answer,
"image_path": question.image_path,
}
@router.post("/upload-image")
def upload_question_image(
file: UploadFile = File(...),
db: Session = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Upload an image for use in questions. Returns the relative path."""
if not file.content_type or not file.content_type.startswith("image/"):
raise HTTPException(status_code=400, detail="File must be an image")
ext = file.filename.rsplit(".", 1)[-1].lower() if file.filename and "." in file.filename else "png"
if ext not in ("png", "jpg", "jpeg", "gif", "webp", "svg"):
raise HTTPException(status_code=400, detail="Unsupported image format")
filename = f"{uuid.uuid4().hex[:12]}.{ext}"
filepath = os.path.join(UPLOAD_DIR, filename)
with open(filepath, "wb") as f:
f.write(file.file.read())
rel_path = f"questions/{filename}"
return {"image_path": rel_path, "url": f"/uploads/{rel_path}"}
@router.get("/images")
def list_question_images(
db: Session = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""List all unique question images for the image bank browser."""
images = (
db.query(Question.image_path)
.filter(Question.image_path.isnot(None), Question.image_path != "")
.distinct()
.limit(200)
.all()
)
return [{"image_path": img[0], "url": f"/uploads/{img[0]}"} for img in images]
class CreateFromBankRequest(BaseModel):
title: str
question_ids: list[int]
mode: str = "timed"
time_limit_minutes: int | None = None
@router.post("/from-bank")
def create_quiz_from_bank(
data: CreateFromBankRequest,
db: Session = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Create a new quiz referencing existing bank questions (no copying — edits propagate)."""
if not data.title.strip():
raise HTTPException(status_code=400, detail="Title is required")
if not data.question_ids:
raise HTTPException(status_code=400, detail="Select at least one question")
if data.mode not in ("timed", "learning"):
raise HTTPException(status_code=400, detail="Mode must be timed or learning")
source_questions = db.query(Question).filter(Question.id.in_(data.question_ids)).all()
if not source_questions:
raise HTTPException(status_code=404, detail="No valid questions found")
# Preserve caller's requested order
id_order = {qid: i for i, qid in enumerate(data.question_ids)}
source_questions.sort(key=lambda q: id_order.get(q.id, len(data.question_ids)))
# Find a section_id from the source questions' origin quiz
first_src_quiz_id = source_questions[0].source_quiz_id
first_quiz = db.query(Quiz).filter(Quiz.id == first_src_quiz_id).first() if first_src_quiz_id else None
section_id = first_quiz.section_id if first_quiz else None
is_mod = current_user.role in ("admin", "moderator")
new_quiz = Quiz(
section_id=section_id,
user_id=current_user.id,
title=data.title.strip(),
questions_count=len(source_questions),
mode=data.mode,
time_limit_minutes=data.time_limit_minutes,
is_published=1 if is_mod else 0,
is_shared=1 if is_mod else 0,
)
db.add(new_quiz)
db.flush()
# Reference existing questions via junction (no copies)
from app.models.quiz_question_link import QuizQuestionLink
for pos, sq in enumerate(source_questions):
db.add(QuizQuestionLink(quiz_id=new_quiz.id, question_id=sq.id, position=pos))
db.commit()
db.refresh(new_quiz)
return {"id": new_quiz.id, "title": new_quiz.title, "questions_count": new_quiz.questions_count}
class BulkCategoryRequest(BaseModel):
question_ids: list[int]
category_id: int | None = None
@router.post("/bulk-category")
def bulk_set_question_category(
data: BulkCategoryRequest,
db: Session = Depends(get_db),
current_user: User = Depends(require_moderator),
):
"""Assign or remove a category from multiple questions."""
if data.category_id is not None:
cat = db.query(QuestionCategory).filter(QuestionCategory.id == data.category_id).first()
if not cat:
raise HTTPException(status_code=404, detail="Category not found")
updated = db.query(Question).filter(Question.id.in_(data.question_ids)).update(
{"question_category_id": data.category_id}, synchronize_session=False
)
db.commit()
return {"updated": updated, "question_category_id": data.category_id}
@router.get("/import/sample")
def download_sample_csv():
"""Download a sample CSV template for question import."""
buf = io.StringIO()
writer = csv.writer(buf)
writer.writerow(["question_text", "option_a", "option_b", "option_c", "option_d", "option_e", "correct_answer", "explanation", "category"])
writer.writerow([
"What is the most common cause of neonatal jaundice?",
"Physiological jaundice", "ABO incompatibility", "G6PD deficiency", "Breast milk jaundice", "",
"A",
"Physiological jaundice occurs in up to 60% of term neonates due to immature hepatic conjugation.",
"Neonatology",
])
writer.writerow([
"Which vaccine is given at birth?",
"BCG", "Hepatitis B", "Both BCG and Hepatitis B", "OPV", "",
"C",
"Both BCG and Hepatitis B are given at birth per the WHO immunization schedule.",
"Immunology",
])
buf.seek(0)
return StreamingResponse(
iter([buf.getvalue()]),
media_type="text/csv",
headers={"Content-Disposition": "attachment; filename=question_import_sample.csv"},
)
@router.post("/import/upload")
def upload_questions_csv(
file: UploadFile = File(...),
db: Session = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Import questions from CSV or XLSX file.
Expected columns: question_text, option_a, option_b, option_c, option_d, option_e,
correct_answer (A/B/C/D/E or full text), explanation, category
"""
if not file.filename:
raise HTTPException(status_code=400, detail="No file provided")
ext = file.filename.rsplit(".", 1)[-1].lower() if "." in file.filename else ""
raw = file.file.read()
rows = []
if ext in ("xlsx", "xls"):
try:
import openpyxl
wb = openpyxl.load_workbook(io.BytesIO(raw), read_only=True)
ws = wb.active
header = None
for row in ws.iter_rows(values_only=True):
if header is None:
header = [str(c or "").strip().lower().replace(" ", "_") for c in row]
continue
rows.append(dict(zip(header, [str(c) if c is not None else "" for c in row])))
except Exception as e:
raise HTTPException(status_code=400, detail=f"Failed to parse XLSX: {e}")
elif ext == "csv":
try:
text = raw.decode("utf-8-sig")
reader = csv.DictReader(io.StringIO(text))
for row in reader:
rows.append({k.strip().lower().replace(" ", "_"): (v or "").strip() for k, v in row.items()})
except Exception as e:
raise HTTPException(status_code=400, detail=f"Failed to parse CSV: {e}")
else:
raise HTTPException(status_code=400, detail="Unsupported file type. Use .csv or .xlsx")
if not rows:
raise HTTPException(status_code=400, detail="File is empty or has no data rows")
# Cache category lookups
cat_cache = {}
for cat in db.query(QuestionCategory).all():
cat_cache[cat.name.lower()] = cat.id
LETTER_MAP = {"a": 0, "b": 1, "c": 2, "d": 3, "e": 4}
created = []
errors = []
for i, row in enumerate(rows, start=2): # row 2 = first data row
q_text = row.get("question_text", "").strip()
if not q_text:
errors.append(f"Row {i}: missing question_text")
continue
options = []
for key in ("option_a", "option_b", "option_c", "option_d", "option_e"):
val = row.get(key, "").strip()
if val:
options.append(val)
correct_raw = row.get("correct_answer", "").strip()
correct_answer = ""
if correct_raw.lower() in LETTER_MAP and LETTER_MAP[correct_raw.lower()] < len(options):
correct_answer = options[LETTER_MAP[correct_raw.lower()]]
elif correct_raw in options:
correct_answer = correct_raw
else:
errors.append(f"Row {i}: invalid correct_answer '{correct_raw}'")
continue
explanation = row.get("explanation", "").strip() or None
cat_name = row.get("category", "").strip()
cat_id = None
if cat_name:
cat_lower = cat_name.lower()
if cat_lower not in cat_cache:
new_cat = QuestionCategory(name=cat_name, user_id=current_user.id)
db.add(new_cat)
db.flush()
cat_cache[cat_lower] = new_cat.id
cat_id = cat_cache[cat_lower]
question = Question(
question_text=q_text,
question_type="mcq" if len(options) >= 2 else "short_answer",
options=options if len(options) >= 2 else None,
correct_answer=correct_answer,
explanation=explanation,
question_category_id=cat_id,
)
db.add(question)
created.append(question)
db.commit()
# Embed in background
for q in created:
db.refresh(q)
try:
from app.services import embedding_service
embedding_service.embed_question(q)
except Exception:
logger.warning("Failed to generate embedding for imported question %d", q.id, exc_info=True)
if created:
db.commit()
return {
"imported": len(created),
"errors": errors[:20], # cap error list
"total_rows": len(rows),
}
# ── QTI Export / Import ──────────────────────────────────────────────
def _escape_xml(text: str) -> str:
"""Escape text for XML content."""
if not text:
return ""
return (text.replace("&", "&amp;").replace("<", "&lt;")
.replace(">", "&gt;").replace('"', "&quot;").replace("'", "&apos;"))
@router.get("/export/qti")
def export_qti(
question_ids: str = Query(None, description="Comma-separated question IDs (omit for all shared)"),
db: Session = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Export questions as QTI 2.1 XML."""
if question_ids:
ids = [int(x.strip()) for x in question_ids.split(",") if x.strip().isdigit()]
questions = db.query(Question).filter(Question.id.in_(ids)).all()
else:
questions = db.query(Question).filter(
or_(Question.is_shared == 1, Question.is_shared.is_(None), Question.user_id == current_user.id)
).limit(500).all()
items_xml = []
for q in questions:
options = q.options or []
correct = q.correct_answer or ""
correct_id = None
choices_xml = []
for i, opt in enumerate(options):
choice_id = f"choice_{i}"
if opt.strip().lower() == correct.strip().lower():
correct_id = choice_id
choices_xml.append(
f' <simpleChoice identifier="{choice_id}">{_escape_xml(opt)}</simpleChoice>'
)
if not correct_id:
correct_id = "choice_0"
explanation_xml = ""
if q.explanation:
explanation_xml = f"""
<modalFeedback outcomeIdentifier="FEEDBACK" showHide="show">
{_escape_xml(q.explanation)}
</modalFeedback>"""
item = f""" <assessmentItem identifier="q_{q.id}" title="{_escape_xml(q.question_text[:80])}" adaptive="false" timeDependent="false">
<responseDeclaration identifier="RESPONSE" cardinality="single" baseType="identifier">
<correctResponse>
<value>{correct_id}</value>
</correctResponse>
</responseDeclaration>
<outcomeDeclaration identifier="SCORE" cardinality="single" baseType="float">
<defaultValue><value>0</value></defaultValue>
</outcomeDeclaration>
<itemBody>
<choiceInteraction responseIdentifier="RESPONSE" shuffle="false" maxChoices="1">
<prompt>{_escape_xml(q.question_text)}</prompt>
{chr(10).join(choices_xml)}
</choiceInteraction>
</itemBody>
<responseProcessing template="http://www.imsglobal.org/question/qti_v2p1/rptemplates/match_correct"/>{explanation_xml}
</assessmentItem>"""
items_xml.append(item)
xml = f"""<?xml version="1.0" encoding="UTF-8"?>
<assessmentTest xmlns="http://www.imsglobal.org/xsd/imsqti_v2p1"
identifier="pedshub_export" title="PedsHub Question Export">
{chr(10).join(items_xml)}
</assessmentTest>"""
return StreamingResponse(
io.BytesIO(xml.encode("utf-8")),
media_type="application/xml",
headers={"Content-Disposition": "attachment; filename=questions_qti.xml"},
)
@router.post("/import/qti")
def import_qti(
file: UploadFile = File(...),
db: Session = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Import questions from a QTI 2.1 XML file."""
import xml.etree.ElementTree as ET
if not file.filename or not file.filename.lower().endswith(".xml"):
raise HTTPException(status_code=400, detail="Please upload a QTI XML file")
contents = file.file.read()
try:
root = ET.fromstring(contents)
except ET.ParseError:
raise HTTPException(status_code=400, detail="Invalid XML file")
# Handle namespaces
ns_match = re.match(r"\{(.+?)\}", root.tag)
ns = ns_match.group(1) if ns_match else ""
prefix = f"{{{ns}}}" if ns else ""
created = []
errors = []
# Find all assessmentItem elements (could be nested or flat)
items = root.findall(f".//{prefix}assessmentItem")
if not items:
items = root.findall(f".//assessmentItem") # try without namespace
for idx, item in enumerate(items):
try:
# Extract prompt/question text
prompt_el = item.find(f".//{prefix}prompt")
if prompt_el is None:
prompt_el = item.find(f".//prompt")
question_text = (prompt_el.text or "").strip() if prompt_el is not None else item.get("title", "")
if not question_text:
errors.append(f"Item {idx + 1}: No question text found")
continue
# Extract choices
options = []
choice_map = {} # identifier -> text
for choice in item.findall(f".//{prefix}simpleChoice") or item.findall(f".//simpleChoice"):
text = (choice.text or "").strip()
identifier = choice.get("identifier", "")
options.append(text)
choice_map[identifier] = text
# Extract correct answer
correct_answer = ""
correct_el = item.find(f".//{prefix}correctResponse/{prefix}value")
if correct_el is None:
correct_el = item.find(f".//correctResponse/value")
if correct_el is not None and correct_el.text:
correct_id = correct_el.text.strip()
correct_answer = choice_map.get(correct_id, "")
# Extract explanation from modalFeedback
explanation = ""
feedback_el = item.find(f".//{prefix}modalFeedback")
if feedback_el is None:
feedback_el = item.find(f".//modalFeedback")
if feedback_el is not None:
explanation = (feedback_el.text or "").strip()
q = Question(
question_text=question_text,
question_type="multiple_choice",
options=options if options else None,
correct_answer=correct_answer,
explanation=explanation or None,
user_id=current_user.id,
is_shared=0,
)
db.add(q)
created.append(q)
except Exception as e:
errors.append(f"Item {idx + 1}: {str(e)[:80]}")
if created:
db.commit()
return {
"imported": len(created),
"errors": errors[:20],
"total_items": len(items),
}