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classquiz-ai/classquiz/routers/eximport.py
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2025-11-01 15:57:10 +01:00

195 lines
6.6 KiB
Python

# SPDX-FileCopyrightText: 2023 Marlon W (Mawoka)
#
# SPDX-License-Identifier: MPL-2.0
import io
import json
import uuid
from datetime import datetime
from typing import Any
import ormar.exceptions
import xlsxwriter
from aiohttp import ClientSession
from fastapi import APIRouter, Depends, File, UploadFile, HTTPException
from fastapi.responses import StreamingResponse
from classquiz.auth import get_current_user
from classquiz.config import storage, settings, arq
from classquiz.db.models import Quiz, User, StorageItem, QuizQuestionType, QuizQuestion
import gzip
import urllib.parse
import magic
router = APIRouter()
settings = settings()
quiz_delimiter = b"\xc7\xc7\xc7\x00"
image_delimiter = b"\xc6\xc6\xc6\x00"
image_index_delimiter = b"\xc5\xc5\x00"
class UUIDEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, uuid.UUID):
# if the obj is uuid, we simply return the value of uuid
return obj.hex
return json.JSONEncoder.default(self, obj)
@router.get("/{quiz_id}")
async def export_quiz(quiz_id: uuid.UUID, _: User = Depends(get_current_user)):
try:
quiz: Quiz = await Quiz.objects.filter(Quiz.id == quiz_id).first()
except ormar.exceptions.NoMatch:
raise HTTPException(status_code=404, detail="Quiz not found")
image_urls = {}
for i, question in enumerate(quiz.questions):
if question["image"] is None:
continue
else:
image_urls[i] = question["image"]
question["image"] = i
if quiz.cover_image is not None:
image_urls[-1] = quiz.cover_image
quiz.cover_image = "-1"
quiz_dict = quiz.model_dump()
del quiz_dict["user_id"], quiz_dict["id"]
quiz_dict["created_at"] = quiz_dict["created_at"].isoformat()
quiz_dict["updated_at"] = quiz_dict["updated_at"].isoformat()
quiz_json = json.dumps(quiz_dict, cls=UUIDEncoder)
bin_data = gzip.compress(quiz_json.encode("utf-8"), compresslevel=9)
bin_data = bin_data + quiz_delimiter
for image_key in image_urls:
bin_data = bin_data + image_delimiter + str(image_key).encode("utf-8") + image_index_delimiter
image_data = None
async with (
ClientSession() as session,
session.get(f"{settings.root_address}/api/v1/storage/download/{image_urls[image_key]}") as resp,
):
image_data = await resp.read()
bin_data = bin_data + image_data
def stream_response():
yield bin_data
return StreamingResponse(
stream_response(),
media_type="application/octet-stream",
headers={
"Content-Disposition": f"attachment;filename={urllib.parse.quote(quiz.title)}.cqa"
# noqa: E501
},
)
@router.post("/")
async def import_quiz(file: UploadFile = File(), user: User = Depends(get_current_user)):
if user.storage_used > settings.free_storage_limit:
raise HTTPException(status_code=409, detail="Storage limit reached")
data = await file.read()
[split_data, images] = data.split(quiz_delimiter)
decompressed_quiz = gzip.decompress(split_data)
quiz_dict = json.loads(decompressed_quiz.decode("utf-8"))
image_splits = images.split(image_delimiter)
quiz_id = uuid.uuid4()
image_urls = {}
print(len(data))
for image_split in image_splits:
res = image_split.split(image_index_delimiter)
if len(res) != 2:
continue
[index, image_data] = res
print(len(image_data))
img_data = io.BytesIO(image_data)
mime_type = magic.from_buffer(img_data.read(2048), mime=True)
img_data.seek(0)
print(mime_type)
index = int(index.decode("utf-8"))
file_id = uuid.uuid4()
file_obj = StorageItem(
id=file_id,
uploaded_at=datetime.now(),
mime_type=mime_type,
hash=None,
user=user,
size=0,
deleted_at=None,
alt_text=None,
)
await storage.upload(file_name=file_id.hex, file_data=img_data, mime_type=mime_type)
await file_obj.save()
await arq.enqueue_job("calculate_hash", file_id.hex)
image = file_id.hex
image_urls[index] = image
quiz_dict["created_at"] = datetime.fromisoformat(quiz_dict["created_at"])
quiz_dict["updated_at"] = datetime.fromisoformat(quiz_dict["updated_at"])
quiz_dict["id"] = quiz_id
for question in quiz_dict["questions"]:
if question["image"] is not None:
question["image"] = image_urls[question["image"]]
if quiz_dict["cover_image"] is not None:
quiz_dict["cover_image"] = image_urls[-1]
quiz = Quiz.model_validate(quiz_dict)
quiz.user_id = user.id
quiz.imported_from_kahoot = None
quiz.mod_rating = None
await quiz.save()
return quiz
@router.get("/excel/{quiz_id}")
async def export_quiz_as_excel(quiz_id: uuid.UUID, _: User = Depends(get_current_user)):
try:
quiz: Quiz = await Quiz.objects.filter(Quiz.id == quiz_id).first()
except ormar.exceptions.NoMatch:
raise HTTPException(status_code=404, detail="Quiz not found")
storage = io.BytesIO()
workbook = xlsxwriter.Workbook(storage, {"in_memory": True})
ws = workbook.add_worksheet()
ws.name = "Main"
ws.write(4, 1, "Title")
ws.write(4, 2, quiz.title)
ws.write(5, 1, "Description")
ws.write(5, 2, quiz.description)
ws.write_row(
12,
1,
[
"Question",
"1st Answer",
"2nd Answer",
"3rd Answer",
"4th Answer",
"Time Limit (max. 120)",
"Correct Answers",
],
)
for i, question in enumerate(quiz.questions):
question = QuizQuestion.model_validate(question)
data: list[Any] = [None] * 9
data[0] = i + 1
data[1] = question.question
if question.type not in [QuizQuestionType.ABCD, QuizQuestionType.VOTING]:
continue
correct_answers = []
for a, answer in enumerate(question.answers):
data[2 + a] = answer.answer
if question.type == QuizQuestionType.ABCD and answer.right:
correct_answers.append(str(a + 1))
data[6] = question.time
data[7] = ",".join(correct_answers)
ws.write_row(13 + i, 0, data)
workbook.close()
storage.seek(0)
def iter_file():
yield from storage
return StreamingResponse(
iter_file(),
media_type="application/vnd.ms-excel",
headers={
"Content-Disposition": f"attachment;filename=ClassQuiz-{urllib.parse.quote(quiz.title)}.xlsx" # noqa: E501
},
)