UVIS / core /input_handler.py
DurgaDeepak's picture
Update core/input_handler.py
72681ac verified
import logging
import os
import io
import tempfile
import requests
from PIL import Image
import cv2
from urllib.parse import urlparse
import socket
import ipaddress
import spaces
# Setup logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
# Resource Limits
MAX_IMAGE_MB = 50
MAX_IMAGE_RES = (4096, 4096)
MAX_VIDEO_MB = 50
MAX_VIDEO_DURATION = 30 # seconds
@spaces.GPU
def fetch_media_from_url(url):
"""
Downloads media from a URL. Supports images and videos.
Returns PIL.Image or video file path.
"""
logger.info(f"Fetching media from URL: {url}")
if not is_public_ip(url):
logger.warning("Blocked non-public URL request (possible SSRF).")
return None
try:
parsed_url = urlparse(url)
ext = os.path.splitext(parsed_url.path)[-1].lower()
headers = {"User-Agent": "Mozilla/5.0"}
r = requests.get(url, headers=headers, timeout=10)
if r.status_code != 200 or len(r.content) > 50 * 1024 * 1024:
logger.warning(f"Download failed or file too large.")
return None
tmp_file = tempfile.NamedTemporaryFile(delete=False, suffix=ext)
tmp_file.write(r.content)
tmp_file.close()
if ext in [".jpg", ".jpeg", ".png"]:
return Image.open(tmp_file.name).convert("RGB")
elif ext in [".mp4", ".avi", ".mov"]:
return tmp_file.name
else:
logger.warning("Unsupported file type from URL.")
return None
except Exception as e:
logger.error(f"URL fetch failed: {e}")
return None
# Input Validation Functions
def validate_image(img):
"""
Validates the uploaded image based on size and resolution limits.
Args:
img (PIL.Image.Image): Image to validate.
Returns:
Tuple[bool, str or None]: (True, None) if valid; (False, reason) otherwise.
"""
logger.info("Validating uploaded image.")
try:
buffer = io.BytesIO()
img.save(buffer, format="PNG")
size_mb = len(buffer.getvalue()) / (1024 * 1024)
if size_mb > MAX_IMAGE_MB:
logger.warning("Image exceeds size limit of 5MB.")
return False, "Image exceeds 5MB limit."
if img.width > MAX_IMAGE_RES[0] or img.height > MAX_IMAGE_RES[1]:
logger.warning("Image resolution exceeds 1920x1080.")
return False, "Image resolution exceeds 1920x1080."
logger.info("Image validation passed.")
return True, None
except Exception as e:
logger.error(f"Error validating image: {e}")
return False, str(e)
def validate_video(path):
"""
Validates the uploaded video based on size and duration limits.
Args:
path (str): Path to the video file.
Returns:
Tuple[bool, str or None]: (True, None) if valid; (False, reason) otherwise.
"""
logger.info(f"Validating video file at: {path}")
try:
size_mb = os.path.getsize(path) / (1024 * 1024)
if size_mb > MAX_VIDEO_MB:
logger.warning("Video exceeds size limit of 50MB.")
return False, "Video exceeds 50MB limit."
cap = cv2.VideoCapture(path)
fps = cap.get(cv2.CAP_PROP_FPS)
frames = cap.get(cv2.CAP_PROP_FRAME_COUNT)
duration = frames / fps if fps else 0
cap.release()
if duration > MAX_VIDEO_DURATION:
logger.warning("Video exceeds 30 seconds duration limit.")
return False, "Video exceeds 30 seconds duration limit."
logger.info("Video validation passed.")
return True, None
except Exception as e:
logger.error(f"Error validating video: {e}")
return False, str(e)
# Input Resolution
def resolve_input(mode, media_upload, url):
"""
Resolves the media input based on selected mode.
- If mode is 'Upload', accepts either:
* 1–5 images (PIL.Image)
* OR 1 video file (file path as string)
- If mode is 'URL', fetches remote image or video.
Args:
mode (str): 'Upload' or 'URL'
media_upload (List[Union[PIL.Image.Image, str]]): Uploaded media
url (str): URL to image or video
Returns:
List[Union[PIL.Image.Image, str]] or None
"""
try:
logger.info(f"Resolving input for mode: {mode}")
logger.info(f"Raw uploaded input: {media_upload}")
if mode == "Upload":
if not media_upload:
logger.warning("No upload detected.")
return None
# Gradio gives file paths, so open and classify them
image_files = []
video_files = []
for file in media_upload:
if isinstance(file, str):
ext = file.lower().split('.')[-1]
if ext in ['jpg', 'jpeg', 'png']:
try:
img = Image.open(file).convert("RGB")
image_files.append(img)
except Exception as e:
logger.warning(f"Failed to open image: {file} - {e}")
elif ext in ['mp4', 'avi', 'mov']:
video_files.append(file)
# Only one type of input allowed
if image_files and video_files:
logger.warning("Mixed media upload not supported (images + video).")
return None
if image_files:
if 1 <= len(image_files) <= 5:
logger.info(f"Accepted {len(image_files)} image(s).")
return image_files
logger.warning("Invalid number of images. Must be 1 to 5.")
return None
if video_files:
if len(video_files) == 1:
logger.info("Accepted single video upload.")
return video_files
logger.warning("Only one video allowed.")
return None
logger.warning("Unsupported upload type.")
return None
elif mode == "URL":
if not url:
logger.warning("URL mode selected but URL is empty.")
return None
media = fetch_media_from_url(url)
if media:
logger.info("Media successfully fetched from URL.")
return [media]
else:
logger.warning("Failed to resolve media from URL.")
return None
else:
logger.error(f"Invalid mode selected: {mode}")
return None
except Exception as e:
logger.error(f"Exception in resolve_input(): {e}")
return None