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#!/bin/python3
import re
# Read in the first file and extract the id and image filename for each tile
tile_info = {}
with open('dynamic.tsx', 'r') as f:
for line in f:
id_match = re.match(r'<tile id="(\d+)">', line.strip())
if id_match:
tile_id = int(id_match.group(1))
else:
image_match = re.search(r'source=".*?/(\w+_\d+\.png)"', line.strip())
if image_match:
image_filename = image_match.group(1)
tile_info[tile_id] = image_filename
# Read in the second file and extract the size for each tile
tile_sizes = {}
with open('tilemap.h', 'r') as f:
for line in f:
size_match = re.match(r'#define HH_TM_(\w+)_OFFSET (\d+)', line.strip(), re.IGNORECASE)
if size_match:
tile_type = size_match.group(1).lower()
size = int(size_match.group(2))
tile_sizes[tile_type] = size
# Read in the third file, update the values, and write to the output file
with open('map.csv', 'r') as input_file, open('out.csv', 'w') as output_file:
for line in input_file:
# #OK
tile_ids = [int(tile_id) for tile_id in line.strip().split(',')]
updated_tile_ids = []
for tile_id in tile_ids:
image_filename = re.match(r'(\w+)_(\d+)\.png', tile_info[tile_id])
tile_type = image_filename.group(1).lower()
offset = int(image_filename.group(2))
size = tile_sizes[tile_type]
updated_tile_id = offset + size
updated_tile_ids.append(str(updated_tile_id))
output_file.write(','.join(updated_tile_ids) + '\n')
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