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Runtime error
Runtime error
File size: 4,583 Bytes
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import asyncio
import json
from multiprocessing import Process
import os
import re
import shutil
import time
import aiofiles
import cv2
from fastapi import (
APIRouter,
Depends,
HTTPException,
UploadFile,
BackgroundTasks,
status,
)
import requests
from app import supabase
from app.dependencies import get_current_user
from app.routers.image import inferenceImage
router = APIRouter(prefix="/video", tags=["Video"])
@router.post("/{artifactId}")
async def handleVideoRequest(
artifactId: str,
file: UploadFile,
background_tasks: BackgroundTasks,
threshold: float = 0.3,
_=Depends(get_current_user),
):
if re.search("^video\/", file.content_type) is None:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="File must be video",
)
try:
id = str(now())
os.mkdir(id)
async with aiofiles.open(os.path.join(id, "input.mp4"), "wb") as out_file:
while content := await file.read(1024):
await out_file.write(content)
background_tasks.add_task(inferenceVideo, artifactId, id, threshold)
return id + ".mp4"
except ValueError as err:
print(err)
print("Error processing video")
shutil.rmtree(id)
def now():
return round(time.time() * 1000)
async def inferenceVideo(artifactId: str, inputDir: str, threshold: float):
try:
Process(updateArtifact(artifactId, {"status": "processing"})).start()
cap = cv2.VideoCapture(
filename=os.path.join(inputDir, "input.mp4"), apiPreference=cv2.CAP_FFMPEG
)
fps = cap.get(cv2.CAP_PROP_FPS)
size = (
int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)),
int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)),
)
result = cv2.VideoWriter(
filename=os.path.join(inputDir, "out.mp4"),
fourcc=cv2.VideoWriter_fourcc(*"mp4v"),
fps=fps,
frameSize=size,
)
isFirstFrame = True
thumbnail = None
while cap.isOpened():
res, frame = cap.read()
if isFirstFrame:
isFirstFrame = False
thumbnail = frame
if res == False:
break
resFram = inferenceImage(frame, threshold)
result.write(resFram)
cap.release()
result.release()
def createThumbnail(thumbnail):
thumbnail = cv2.resize(
src=thumbnail, dsize=(160, 160), interpolation=cv2.INTER_AREA
)
cv2.imwrite(os.path.join(inputDir, "thumbnail.jpg"), thumbnail)
createThumbnail(thumbnail)
async def uploadVideo():
async with aiofiles.open(os.path.join(inputDir, "out.mp4"), "rb") as f:
supabase.storage.from_("video").upload(
inputDir + ".mp4", await f.read(), {"content-type": "video/mp4"}
)
async def uploadThumbnail():
async with aiofiles.open(
os.path.join(inputDir, "thumbnail.jpg"), "rb"
) as f:
supabase.storage.from_("thumbnail").upload(
inputDir + ".jpg", await f.read(), {"content-type": "image/jpeg"}
)
try:
n = now()
_, _ = await asyncio.gather(uploadVideo(), uploadThumbnail())
print(now() - n)
except Exception as e:
print(e)
updateArtifact(
artifactId,
{
"status": "success",
"path": "https://hdfxssmjuydwfwarxnfe.supabase.co/storage/v1/object/public/video/"
+ inputDir
+ ".mp4",
"thumbnailURL": "https://hdfxssmjuydwfwarxnfe.supabase.co/storage/v1/object/public/thumbnail/"
+ inputDir
+ ".jpg",
},
)
except:
Process(
updateArtifact(
artifactId,
{
"status": "fail",
},
)
).start()
finally:
shutil.rmtree(inputDir)
def updateArtifact(artifactId: str, body):
url = "https://firebasetot.onrender.com/artifacts/" + artifactId
payload = json.dumps(body)
headers = {"Content-Type": "application/json"}
requests.request("PATCH", url, headers=headers, data=payload)
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