File size: 5,960 Bytes
a8aca4e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 |
def execute_python_script(script_code, context=None):
"""
Safely execute Python script with limited context
Returns script output or error message
"""
import io
import sys
from contextlib import redirect_stdout, redirect_stderr
if context is None:
context = {
'video_path': None,
'frame_data': None,
'metadata': None
}
# Capture output
output = io.StringIO()
error = io.StringIO()
try:
with redirect_stdout(output), redirect_stderr(error):
# Create restricted execution environment
exec_globals = {
'__builtins__': {
'print': print,
'str': str,
'int': int,
'float': float,
'list': list,
'dict': dict,
'tuple': tuple,
'range': range,
'len': len,
'enumerate': enumerate,
'zip': zip,
'min': min,
'max': max,
'sum': sum,
'abs': abs,
'round': round
},
'context': context
}
exec(script_code, exec_globals)
if error.getvalue():
return f"Error: {error.getvalue()}"
else:
return output.getvalue()
except Exception as e:
return f"Error executing script: {str(e)}"
def validate_python_script(script_code):
"""
Validate Python script syntax and restricted functions
Returns (is_valid, error_message)
"""
import ast
try:
# Parse script into AST
tree = ast.parse(script_code)
# Check for disallowed nodes
for node in ast.walk(tree):
if isinstance(node, ast.Import):
return (False, "Import statements are not allowed")
if isinstance(node, ast.ImportFrom):
return (False, "Import statements are not allowed")
if isinstance(node, ast.Call):
if isinstance(node.func, ast.Name):
if node.func.id in ['eval', 'exec', 'open', 'execfile']:
return (False, f"Function {node.func.id}() is not allowed")
return (True, "Script is valid")
except SyntaxError as e:
return (False, f"Syntax error: {str(e)}")
def extract_video_metadata(video_path):
"""
Extract technical metadata from video file
Returns dictionary of metadata
"""
import cv2
from datetime import datetime
import os
cap = cv2.VideoCapture(video_path)
if not cap.isOpened():
return None
# Get basic video properties
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = cap.get(cv2.CAP_PROP_FPS)
frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
duration = frame_count / fps
# Get file info
file_stats = os.stat(video_path)
created = datetime.fromtimestamp(file_stats.st_ctime)
modified = datetime.fromtimestamp(file_stats.st_mtime)
cap.release()
return {
'filename': os.path.basename(video_path),
'path': video_path,
'resolution': f"{width}x{height}",
'fps': fps,
'duration': duration,
'frame_count': frame_count,
'size': file_stats.st_size,
'created': created,
'modified': modified
}
def extract_audio_metadata(audio_path):
"""
Extract technical metadata from audio file
Returns dictionary of metadata
"""
import wave
from datetime import datetime
import os
try:
with wave.open(audio_path, 'rb') as audio_file:
channels = audio_file.getnchannels()
sample_width = audio_file.getsampwidth()
framerate = audio_file.getframerate()
frames = audio_file.getnframes()
duration = frames / float(framerate)
file_stats = os.stat(audio_path)
created = datetime.fromtimestamp(file_stats.st_ctime)
modified = datetime.fromtimestamp(file_stats.st_mtime)
return {
'filename': os.path.basename(audio_path),
'path': audio_path,
'channels': channels,
'sample_width': sample_width,
'sample_rate': framerate,
'duration': duration,
'size': file_stats.st_size,
'created': created,
'modified': modified
}
except:
return None
def extract_exif_data(image_path):
"""
Extract EXIF metadata from image file
Returns dictionary of EXIF data
"""
from PIL import Image, ExifTags
from datetime import datetime
import os
try:
img = Image.open(image_path)
exif_data = img._getexif()
if not exif_data:
return None
exif = {}
for tag, value in exif_data.items():
decoded = ExifTags.TAGS.get(tag, tag)
exif[decoded] = value
# Get file info
file_stats = os.stat(image_path)
created = datetime.fromtimestamp(file_stats.st_ctime)
modified = datetime.fromtimestamp(file_stats.st_mtime)
exif['filename'] = os.path.basename(image_path)
exif['path'] = image_path
exif['size'] = file_stats.st_size
exif['created'] = created
exif['modified'] = modified
return exif
except:
return None
def detect_faces(frame, min_confidence=0.7):
"""
Detect faces in a frame using OpenCV DNN
Returns list of face bounding boxes and confidence scores
""" |