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dtm_2_json.py
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dtm_2_json.py
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"""
Converts dmt + model.scr format into common json format.
Drag n drop BaseT Directory to use! (or pass as argument manually)
: jupiterbjy@gmail.com
"""
import pathlib
import json
from argparse import ArgumentParser
from itertools import chain
from typing import Iterator, Sequence, Tuple
COMMON_KEYWORDS = {"Face", "TVertex", "TextureFaces", "Vertex", "TFace"}
ROOT = pathlib.Path(__file__).parent
OUTPUT = ROOT / "dtm2json_output"
OUTPUT.mkdir(exist_ok=True)
OUTPUT_LIST = OUTPUT / "_files.txt"
OUTPUT_LOOKUP = OUTPUT / "_lookup.json"
DEFAULT_PATH = pathlib.Path(r"C:\Program Files (x86)\Armada Tanks\BaseT")
class DummyData(Exception):
pass
def count_indent(line: str):
combo = 0
for char in line:
if char == " ":
combo += 1
else:
return combo
def recover_type(val: str):
"""Recover """
# is int? there's no neg int in file, this is fine
if val.isdigit():
return int(val)
# is it float? in this file, just period check is enough
if "." in val:
return float(val)
# else just string, our time wasted!
return val
def parse_recursive(string_iter: Iterator):
"""Recursive Dictionary translator of DTM file"""
val = {}
# starting with open bracket, get key name & indent level
line = next(string_iter)
key = line.strip(" \n{")
indent_lvl = count_indent(line)
for line in string_iter:
# if matching close bracket is found, break & return result
if "}" in line and count_indent(line) == indent_lvl:
return key, val
# if empty string with space and newline, pass
if not line.strip():
continue
# if open bracket in line, recurse
if "{" in line:
child_key, child_val = parse_recursive(chain((line,), string_iter))
else:
child_key, *child_val = map(recover_type, line.strip().split())
# if key is among these, set next first level in child as key.
# totally fine to do so as these lines start with [type] [idx] [values].
if child_key in COMMON_KEYWORDS:
child_key, *child_val = child_val
# add to dict, but store only a value if it's single value. Goose typing in action!
if isinstance(child_val, Sequence) and len(child_val) == 1:
val[child_key] = child_val[0]
else:
val[child_key] = child_val
def process_dtm(dtm_path: pathlib.Path) -> dict:
"""Translates DTM file into dict"""
print(f"Processing {dtm_path.as_posix()}")
# top level key is 'FILE' which we don't need
_, parsed = parse_recursive(iter(dtm_path.read_text().splitlines()))
frame_count = parsed["FileDesc"]["Frames"]
print(f"Found {frame_count} frames")
# reconstruct vertices per frames, found out there's more than 1 frame acting as a keyframes.
# probably no need to do same for Texture maps, seems like every model uses just one.
vertices = [
[*parsed[f"Frame {frame_idx}"]["Vertices"].values()]
for frame_idx in range(frame_count)
]
# reconstruct to our taste
# since python 3.7 dict retain insertion order. no need to worry about loosing index keys.
output = {
"vertices": vertices,
"faces": [(v1, v2, v3) for v1, v2, v3, _, _, in parsed["Faces"].values()],
"tex_vert": [*parsed["MapChannel 1"]["TextureVertices"].values()],
"tex_loop": [*parsed["MapChannel 1"]["TextureFaces"].values()],
}
return output
def _regularize_scale_gen(scale_strings):
# i.e. cases are 0.05 / 0.05 0.6 / 0.05 0.6 BACK(???)
# there is TWO "MSSNOW" in model.scr, one with wrong model and 'BACK' in scale.
# so we need to drop anything with "BACK" written on it.
# mostly more than 1 are dummy model that doesn't exist
# but this one exists: model 203 "BIGCRASH" {ScaleModel 0.029 0.025, ... }
# we'll just pass it and save for sake of accuracy, and use first value for 3 all axis.
for val in scale_strings:
try:
yield float(val)
except ValueError:
raise DummyData()
def _find_line(iterator: Iterator[str], search_tgt: str):
for line in iterator:
if search_tgt in line:
return line.strip().split()
raise StopIteration
def parse_single(iterator: Iterator[str]) -> Tuple[int, str, Sequence, Sequence]:
"""Non-recursive Dictionary translator of SCR script. Returns (model idx, name, scale, file_name)"""
# starting of definition
# model 202 "BLMPSH" {
_, idx, name, _ = _find_line(iterator, "{")
idx = int(idx)
name: str = name.strip("\"")
# find scale, it could be single, double, triple or even string in scale. Maybe dummy data?
# ScaleModel 0.05
# ScaleModel 0.05 0.6
# ScaleModel 0.05 0.66 0.6
# ScaleModel 0.05 0.6 BACK
_, *scale = _find_line(iterator, "Scale")
scale = tuple(_regularize_scale_gen(scale))
# find dtm file - there's some files with 2 entries - assuming it's alias or something...
# LoadFileDTM "BaseT\\Model\\Event_Dzot_D.dtm"
# LoadFileDTM "BaseT\\Model\\Bullet_Electro.dtm" Bullet_3.dtm
_, *dtm = _find_line(iterator, "LoadFile")
# strip " - only first parameter has it, not in second DTM
dtm[0] = dtm[0].strip("\"")
# strip out path, only leave file name. Later will be used on godot
dtm = [p.split("\\\\")[-1].removesuffix(".dtm") for p in dtm]
# Flexible Vertex Format mode Tex_1?
# sdSetFVF T1
# SetFVF T1
# _, *dtm = _find_line(iterator, "SetFVF")
return idx, name, scale, dtm
def parse_scr_gen(scr_path: pathlib.Path):
line_iter = iter(scr_path.read_text().splitlines())
while True:
try:
yield parse_single(line_iter)
except DummyData:
print("Ignoring dummy data")
except StopIteration:
return
def process_model_scr(scr_path: pathlib.Path) -> Tuple[dict, dict]:
"""Translates model.scr into dict"""
print(f"Processing {scr_path.as_posix()}")
# parse scr
parsed = list(parse_scr_gen(scr_path))
# entry for use as model idx lookup table in godot
model_entries = {
name: {"idx": idx, "file": dtm, "scale": scale} for idx, name, scale, dtm in parsed
}
# entry for scaling lookup table in blender
scale_entries = {
dtm[0]: scale[0] for idx, name, scale, dtm in parsed
}
return model_entries, scale_entries
def main(args):
# fetch subdir
dtm_dir = args.base_t_dir / "Model"
model_scr = args.base_t_dir / "Script" / "model.scr"
# parse scr & save model index
model_lookup, scale_lookup = process_model_scr(model_scr)
OUTPUT_LOOKUP.write_text(json.dumps(model_lookup, indent=2), "utf8")
path_list = []
# parse each dtm file
for file in dtm_dir.iterdir():
# just in case
if file.suffix != ".dtm":
continue
# process & add scale info using file stem as key
output = process_dtm(file)
try:
output["scale"] = scale_lookup[file.stem]
except KeyError:
# this model is dummy data!
print(f"! Ignoring dummy data {file.name}")
continue
# save, but not using indent as file gets hard to read as each 3-digit coordinate takes one line.
out_file = OUTPUT / f"{file.stem}.json"
out_file.write_text(json.dumps(output), "utf8")
path_list.append(out_file.as_posix())
# write converted DTM entries, so it could be loaded in blender easily
OUTPUT_LIST.write_text("\n".join(path_list), "utf8")
if __name__ == '__main__':
_parser = ArgumentParser()
_parser.add_argument(
"base_t_dir",
metavar="F",
type=pathlib.Path,
default=None,
nargs="?",
help="Directory path of BaseT"
)
_args = _parser.parse_args()
# check if argument is missing
if _args.base_t_dir is None:
# if game is installed in default location, use that data
if DEFAULT_PATH.exists():
print(f"Using Default installation at '{DEFAULT_PATH.as_posix()}'")
_args.base_t_dir = DEFAULT_PATH
else:
# we can't proceed, show usage instead
_parser.print_usage()
exit()
main(_args)