gdnative_python/generation/generate_pool_arrays.py

138 lines
3.7 KiB
Python

import os
import argparse
import json
import re
from keyword import iskeyword
from collections import defaultdict
from jinja2 import Environment, FileSystemLoader
BASEDIR = os.path.dirname(__file__)
env = Environment(
loader=FileSystemLoader(f"{BASEDIR}/pool_arrays_templates"),
trim_blocks=True,
lstrip_blocks=True,
)
class TypeItem:
def __init__(self, **kwargs):
self.__dict__.update(**kwargs)
TYPES = [
# Base types
TypeItem(
gd_pool=f"pandemonium_pool_int_array",
py_pool=f"PoolIntArray",
gd_value=f"pandemonium_int",
py_value=f"pandemonium_int",
is_base_type=True,
is_stack_only=True,
),
TypeItem(
gd_pool=f"pandemonium_pool_real_array",
py_pool=f"PoolRealArray",
gd_value=f"pandemonium_real",
py_value=f"pandemonium_real",
is_base_type=True,
is_stack_only=True,
),
TypeItem(
gd_pool="pandemonium_pool_byte_array",
py_pool="PoolByteArray",
gd_value="uint8_t",
py_value="uint8_t",
is_base_type=True,
is_stack_only=True,
),
# Stack only builtin types
TypeItem(
gd_pool=f"pandemonium_pool_vector2_array",
py_pool=f"PoolVector2Array",
gd_value=f"pandemonium_vector2",
py_value=f"Vector2",
is_base_type=False,
is_stack_only=True,
),
TypeItem(
gd_pool=f"pandemonium_pool_vector2i_array",
py_pool=f"PoolVector2iArray",
gd_value=f"pandemonium_vector2i",
py_value=f"Vector2i",
is_base_type=False,
is_stack_only=True,
),
TypeItem(
gd_pool=f"pandemonium_pool_vector3_array",
py_pool=f"PoolVector3Array",
gd_value=f"pandemonium_vector3",
py_value=f"Vector3",
is_base_type=False,
is_stack_only=True,
),
TypeItem(
gd_pool=f"pandemonium_pool_vector3i_array",
py_pool=f"PoolVector3iArray",
gd_value=f"pandemonium_vector3i",
py_value=f"Vector3i",
is_base_type=False,
is_stack_only=True,
),
TypeItem(
gd_pool=f"pandemonium_pool_vector4_array",
py_pool=f"PoolVector4Array",
gd_value=f"pandemonium_vector4",
py_value=f"Vector4",
is_base_type=False,
is_stack_only=True,
),
TypeItem(
gd_pool=f"pandemonium_pool_vector4i_array",
py_pool=f"PoolVector4iArray",
gd_value=f"pandemonium_vector4i",
py_value=f"Vector4i",
is_base_type=False,
is_stack_only=True,
),
TypeItem(
gd_pool=f"pandemonium_pool_color_array",
py_pool=f"PoolColorArray",
gd_value=f"pandemonium_color",
py_value=f"Color",
is_base_type=False,
is_stack_only=True,
),
# Stack&heap builtin types
TypeItem(
gd_pool="pandemonium_pool_string_array",
py_pool="PoolStringArray",
gd_value="pandemonium_string",
py_value="GDString",
is_base_type=False,
is_stack_only=False,
),
]
def generate_pool_array(output_path):
template = env.get_template("pool_arrays.tmpl.pyx")
out = template.render(types=TYPES)
with open(output_path, "w") as fd:
fd.write(out)
pxd_output_path = output_path.rsplit(".", 1)[0] + ".pxd"
template = env.get_template("pool_arrays.tmpl.pxd")
out = template.render(types=TYPES)
with open(pxd_output_path, "w") as fd:
fd.write(out)
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Generate pandemonium pool_x_array builtins bindings files"
)
parser.add_argument("--output", "-o", default=None)
args = parser.parse_args()
generate_pool_array(args.output or f"pool_arrays.pyx")