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69 lines
2 KiB
Python
69 lines
2 KiB
Python
from random import randint
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import fxconv
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import json
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import pathlib
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import csv
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def convert(input, output, params, target):
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if params["custom-type"] == "map":
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convert_map(input, output, params, target)
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return 0
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else:
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return 1
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def convert_map(input, output, params, target):
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data = json.load(open(input, "r"))
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#find the tileset in use. it's a relative path (like ../tileset.tsx)
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nameTileset = data["tilesets"][0]["source"].replace(".tsx","")
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print(nameTileset)
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#the name of the tileset without the .something
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nameTilesetFree = nameTileset.split("/")[-1]
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#count the number of "back" (cd ..) to locate the tileset on the computer
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nbRetour = nameTileset.count("..")+1
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#create the tileset absolute path
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tilesetPath = "/".join(input.split("/")[:-nbRetour]) + "/" + nameTileset + ".json"
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tileset = open(tilesetPath, "r")
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data_tileset = json.load(tileset)
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tileset_size = data_tileset.get("columns")
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tileset.close()
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#find the ID of the first tile in the walkable tileset ()
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indexWalkable = data["tilesets"][1]["firstgid"]
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print(indexWalkable)
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#Extract from the json the width, height
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w, h = data["width"], data["height"]
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#nbTileLayer is the number of "true" layers (without ObjectsLayer)
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nbTilelayer = ["data" in i for i in data["layers"]].count(True) - 1
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print( nbTilelayer)
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structMap = fxconv.Structure()
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structMap += fxconv.u32(w) + fxconv.u32(h) + fxconv.u32(nbTilelayer)
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structMap += fxconv.ref(f"img_{nameTilesetFree}")
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structMap += fxconv.u32(tileset_size)
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walk_data = bytes()
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layer = data["layers"][nbTilelayer]
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for tile in layer["data"]:
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if tile == 0: walk_data += fxconv.u16(tile)
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else : walk_data += fxconv.u16(tile-indexWalkable)
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structMap += fxconv.ptr(walk_data)
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#generate the array of tiles from the layer
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for i in range(nbTilelayer):
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print(i)
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layer_data = bytes()
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layer = data["layers"][i]
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for tile in layer["data"]:
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layer_data += fxconv.u16(tile-1)
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structMap += fxconv.ptr(layer_data)
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#generate !
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fxconv.elf(structMap, output, "_" + params["name"], **target)
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