Renpy — Save Editor

# Load and edit save editor = RenPySaveEditor(None) editor.current_save = save_file editor.load_save_data()

def load_save_data(self): """Parse Ren'Py save file format""" with open(self.current_save, 'rb') as f: # Read header (Ren'Py version and metadata) header = f.read(8) # Check if it's compressed (usually zlib compressed JSON) try: # Attempt to decompress data = zlib.decompress(f.read()) self.save_data = json.loads(data) except: # Might be uncompressed or different format f.seek(8) data = f.read() try: self.save_data = json.loads(data) except: # Try to extract from pickle (advanced) self.save_data = self.extract_pickle_data(data) # Extract variables from the save structure self.extract_variables() renpy save editor

def extract_pickle_data(self, raw_data): """Extract data from Ren'Py pickle format (simplified)""" # Real implementation would need unpickling with renpy.loader # This is a simplified version variables = {} # Look for common variable patterns in binary data # Convert to string and search for variable names text_data = raw_data.decode('latin-1', errors='ignore') # Find variable patterns like "money": 100, "name": "Player" import re patterns = [ (r'"([a-zA-Z_][a-zA-Z0-9_]*)"\s*:\s*(\d+)', 'int'), (r'"([a-zA-Z_][a-zA-Z0-9_]*)"\s*:\s*"([^"]*)"', 'str'), (r'"([a-zA-Z_][a-zA-Z0-9_]*)"\s*:\s*(true|false)', 'bool'), ] for pattern, typ in patterns: for match in re.finditer(pattern, text_data): name = match.group(1) value = match.group(2) if typ == 'bool': value = value.lower() == 'true' elif typ == 'int': value = int(value) variables[name] = value return variables # Load and edit save editor = RenPySaveEditor(None) editor

class RenPySaveEditor: def (self, root): self.root = root self.root.title("Ren'Py Save Editor v1.0") self.root.geometry("900x600") ] for pattern

var_name, var_value = var_assignment.split('=', 1)