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DramaticShape
113 lines
4.1 KiB
Python
113 lines
4.1 KiB
Python
"""Composite the reference PNGs that
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assets/docs/buildings/B##-unnamed-building.md files link to (img/B##.png,
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img/B##_x{scale}.png, img/B##_atlas.png) but the repo does not ship, since
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they land in the gitignored .scratchpad/ -- run this to regenerate them
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locally.
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Parses each doc's raw tile-id grid (the `local rows = {...}` Lua array), its
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named tileset, and its scale factor straight out of the markdown, then
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composites the building out of the tileset atlas the same way
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building_voxels.py's sprite() does: paste each tile's 8x8 block, 16 tiles
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per row. Emits, per building:
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- B##.png native resolution
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- B##_x{N}.png nearest-neighbor upscale, at the scale the doc references
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- B##_atlas.png a strip of the building's distinct tiles, first-appearance
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order (matches the doc's legend lettering)
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python mods/DRAMATIC_SHAPE/tools/building_images.py [outdir]
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outdir defaults to .scratchpad/img at the repo root.
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"""
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import os
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import re
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import sys
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import glob
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from PIL import Image
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MOD_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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ROOT = os.path.dirname(os.path.dirname(MOD_ROOT))
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DOCS = os.path.join(MOD_ROOT, "assets", "docs", "buildings")
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TILESETS = os.path.join(ROOT, "assets", "generated", "tilesets")
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PER_ROW = 16
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def parse_doc(path):
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text = open(path, encoding="utf-8").read()
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bid = re.search(r"^# (B\d+)", text, re.M).group(1)
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scale = int(re.search(r"img/B\d+_x(\d+)\.png", text).group(1))
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tileset = re.search(r"assets/generated/tilesets/(\w+)\.png", text).group(1)
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lua = re.search(r"local rows = \{(.*?)\n\}", text, re.S).group(1)
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rows = []
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for line in lua.strip().splitlines():
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code = line.split("--")[0]
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nums = re.findall(r"\d+", code)
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if nums:
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rows.append([int(n) for n in nums])
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return bid, scale, tileset, rows
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def composite(rows, atlas):
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h, w = len(rows), len(rows[0])
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im = Image.new("RGB", (w * 8, h * 8))
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for r, row in enumerate(rows):
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for c, t in enumerate(row):
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ax, ay = (t % PER_ROW) * 8, (t // PER_ROW) * 8
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im.paste(atlas.crop((ax, ay, ax + 8, ay + 8)), (c * 8, r * 8))
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return im
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def atlas_strip(rows, atlas, cell=32, pad=2, per_row=12):
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"""Every distinct tile the building uses, in first-appearance (row-major)
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order -- the same order the doc's legend assigns A, B, C, ... to."""
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seen, seenset = [], set()
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for row in rows:
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for t in row:
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if t not in seenset:
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seenset.add(t)
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seen.append(t)
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n = len(seen)
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cols = min(n, per_row)
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lines = (n + per_row - 1) // per_row
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W = cols * cell + (cols + 1) * pad
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H = lines * cell + (lines + 1) * pad
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img = Image.new("RGB", (W, H), (255, 255, 255))
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for i, t in enumerate(seen):
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ax, ay = (t % PER_ROW) * 8, (t // PER_ROW) * 8
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tile = atlas.crop((ax, ay, ax + 8, ay + 8)).resize((cell, cell), Image.NEAREST)
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col, line = i % per_row, i // per_row
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img.paste(tile, (pad + col * (cell + pad), pad + line * (cell + pad)))
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return img
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def main():
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out = sys.argv[1] if len(sys.argv) > 1 else os.path.join(ROOT, ".scratchpad", "img")
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os.makedirs(out, exist_ok=True)
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atlas_cache = {}
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docs = sorted(
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glob.glob(os.path.join(DOCS, "B*-unnamed-building.md")),
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key=lambda p: int(re.search(r"B(\d+)", os.path.basename(p)).group(1)),
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)
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for path in docs:
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bid, scale, tileset, rows = parse_doc(path)
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if tileset not in atlas_cache:
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atlas_cache[tileset] = Image.open(
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os.path.join(TILESETS, tileset + ".png")
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).convert("RGB")
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atlas = atlas_cache[tileset]
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native = composite(rows, atlas)
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native.save(os.path.join(out, f"{bid}.png"))
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big = native.resize((native.width * scale, native.height * scale), Image.NEAREST)
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big.save(os.path.join(out, f"{bid}_x{scale}.png"))
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atl = atlas_strip(rows, atlas)
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atl.save(os.path.join(out, f"{bid}_atlas.png"))
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print(f"{bid}: {tileset} {native.size} -> x{scale} {big.size}, atlas {atl.size}")
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if __name__ == "__main__":
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main()
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