MorphGuard / src /utils /validation.py
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Initial clean commit of modular MorphGuard
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import os
from flask import request, jsonify
from functools import wraps
ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg', 'webp', 'bmp'}
def allowed_file(filename):
return '.' in filename and \
filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
def validate_detection_request(f):
@wraps(f)
def decorated(*args, **kwargs):
if 'image' not in request.files:
return jsonify({'error': 'No image provided. Form parameter "image" must contain an image file.'}), 400
file = request.files['image']
if not file or not file.filename:
return jsonify({'error': 'No image selected. Please upload a valid image file.'}), 400
if not allowed_file(file.filename):
return jsonify({'error': f"Invalid file type. Allowed extensions: {', '.join(ALLOWED_EXTENSIONS)}"}), 400
# Validate mode if present
if 'mode' in request.form:
mode = request.form.get('mode').lower()
if mode not in ('fast', 'deep_forensics', 'auto'):
return jsonify({'error': "Invalid mode. Allowed values: 'fast', 'deep_forensics', 'auto'."}), 400
# Validate detection_type if present
if 'detection_type' in request.form:
d_type = request.form.get('detection_type').lower()
if d_type not in ('morph', 'deepfake', 'both'):
return jsonify({'error': "Invalid detection_type. Allowed values: 'morph', 'deepfake', 'both'."}), 400
return f(*args, **kwargs)
return decorated
def validate_demorph_request(f):
@wraps(f)
def decorated(*args, **kwargs):
if 'image' not in request.files:
return jsonify({'error': 'No image provided. Form parameter "image" must contain an image file.'}), 400
file = request.files['image']
if not file or not file.filename:
return jsonify({'error': 'No image selected. Please upload a valid image file.'}), 400
if not allowed_file(file.filename):
return jsonify({'error': f"Invalid file type. Allowed extensions: {', '.join(ALLOWED_EXTENSIONS)}"}), 400
# Validate reference if present
if 'reference' in request.files:
ref_file = request.files['reference']
if ref_file and ref_file.filename and not allowed_file(ref_file.filename):
return jsonify({'error': f"Invalid reference file type. Allowed extensions: {', '.join(ALLOWED_EXTENSIONS)}"}), 400
# Validate method if present
if 'method' in request.form:
method = request.form.get('method').lower()
if method not in ('transformer', 'diffusion', 'gan'):
return jsonify({'error': "Invalid demorphing method. Allowed values: 'transformer', 'diffusion', 'gan'."}), 400
return f(*args, **kwargs)
return decorated
def validate_batch_detection_request(f):
@wraps(f)
def decorated(*args, **kwargs):
if 'images' not in request.files:
return jsonify({'error': 'No images provided. Form parameter "images" must contain at least one image file.'}), 400
files = request.files.getlist('images')
if not files or len(files) == 0 or (len(files) == 1 and files[0].filename == ''):
return jsonify({'error': 'No images selected. Please upload at least one valid image file.'}), 400
for file in files:
if not file or not file.filename or not allowed_file(file.filename):
return jsonify({'error': f"Invalid file or file type. Allowed extensions: {', '.join(ALLOWED_EXTENSIONS)}"}), 400
# Validate mode if present
if 'mode' in request.form:
mode = request.form.get('mode').lower()
if mode not in ('fast', 'deep_forensics', 'auto'):
return jsonify({'error': "Invalid mode. Allowed values: 'fast', 'deep_forensics', 'auto'."}), 400
# Validate detection_type if present
if 'detection_type' in request.form:
d_type = request.form.get('detection_type').lower()
if d_type not in ('morph', 'deepfake', 'both'):
return jsonify({'error': "Invalid detection_type. Allowed values: 'morph', 'deepfake', 'both'."}), 400
return f(*args, **kwargs)
return decorated