Lamp testbench in Rust around the HPCS 6500
lampbench station / export / label / tm30 / calibrate replace the Python lamp_station.py, lamp_export.py, label_printer.py, tm30.py and calibration.py that lived in HPCS6500-py. The driver is a submodule (HPCS6500/, like mppt-testbench). Workspace crates: tm30 (TM-30-18 port of colour-science 0.4.7), brother-ql (raster protocol, byte-identical to brother_ql) and lamp-label (QR + ID labels for the QL-820NWB). Bundles are byte-identical to lamp_export.py's (golden tests); the station runs end to end in a test against the simulated instrument.
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"""Generate golden test data for the Rust brother-ql crate.
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For every case this writes the input image(s) as 1-bit PNG plus the output of
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Python ``brother_ql.conversion.convert`` (brother_ql_next 0.12) as ``.bin``
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into ``crates/brother-ql/tests/golden/`` and lists the cases in
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``manifest.txt``. ``tests/golden.rs`` re-runs the conversion in Rust and
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requires identical bytes.
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Run with a Python that has brother_ql_next, qrcode and pillow, e.g.:
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C:/dev/HPCS/.venv/Scripts/python.exe -W ignore crates/brother-ql/tools/golden.py
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``render_label`` below is a verbatim copy of the HPCS ``label_printer.py``
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function. Pass ``--reference path/to/label_printer.py`` (or set
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``LABEL_PRINTER_PY``) to import the original instead and assert both agree.
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"""
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import argparse
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import importlib.util
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import os
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import random
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import sys
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from pathlib import Path
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import qrcode
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from PIL import Image, ImageDraw, ImageFont
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from brother_ql.conversion import convert
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from brother_ql.raster import BrotherQLRaster
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OUT = Path(__file__).resolve().parent.parent / "tests" / "golden"
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# ---- verbatim copy of label_printer.py (HPCS) -------------------------------
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DOTS = (202, 202)
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TEXT_HEIGHT = 52
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def _font(size):
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for name in ("arialbd.ttf", "arial.ttf", "DejaVuSans-Bold.ttf"):
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try:
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return ImageFont.truetype(name, size)
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except OSError:
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continue
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return ImageFont.load_default(size)
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def render_label(lamp_id: str) -> Image.Image:
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image = Image.new("1", DOTS, 1)
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qr = qrcode.QRCode(
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error_correction=qrcode.constants.ERROR_CORRECT_M,
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box_size=1,
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border=2,
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)
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qr.add_data(lamp_id.upper())
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qr.make(fit=True)
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modules = len(qr.get_matrix())
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qr_size = DOTS[1] - TEXT_HEIGHT
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qr.box_size = max(1, qr_size // modules)
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qr_img = qr.make_image().get_image().convert("1")
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image.paste(qr_img, ((DOTS[0] - qr_img.width) // 2, (qr_size - qr_img.height) // 2))
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draw = ImageDraw.Draw(image)
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size = 44
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while size > 10:
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font = _font(size)
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box = draw.textbbox((0, 0), lamp_id, font=font)
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if box[2] - box[0] <= DOTS[0] - 8:
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break
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size -= 2
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draw.text(
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((DOTS[0] - (box[2] - box[0])) // 2 - box[0], DOTS[1] - TEXT_HEIGHT + (TEXT_HEIGHT - (box[3] - box[1])) // 2 - box[1]),
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lamp_id,
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font=font,
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fill=0,
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)
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return image
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# -----------------------------------------------------------------------------
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def random_image(w, h, seed, p=0.5):
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rng = random.Random(seed)
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im = Image.new("1", (w, h), 1)
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px = im.load()
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for y in range(h):
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for x in range(w):
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if rng.random() < p:
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px[x, y] = 0
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return im
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def synthetic():
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w, h = 202, 202
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imgs = {
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"white_202": Image.new("1", (w, h), 1),
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"black_202": Image.new("1", (w, h), 0),
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}
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chk = Image.new("1", (w, h), 1)
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px = chk.load()
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for y in range(h):
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for x in range(w):
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if (x + y) % 2:
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px[x, y] = 0
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imgs["checker_202"] = chk
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for name, (x, y) in {
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"corner_tl": (0, 0),
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"corner_tr": (w - 1, 0),
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"corner_bl": (0, h - 1),
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"corner_br": (w - 1, h - 1),
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}.items():
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im = Image.new("1", (w, h), 1)
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im.putpixel((x, y), 0)
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imgs[name] = im
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imgs["random_202"] = random_image(w, h, 1234)
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return imgs
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def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("--reference", default=os.environ.get("LABEL_PRINTER_PY"))
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args = ap.parse_args()
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reference = None
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if args.reference and Path(args.reference).exists():
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spec = importlib.util.spec_from_file_location("label_printer_ref", args.reference)
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reference = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(reference)
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OUT.mkdir(parents=True, exist_ok=True)
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for f in OUT.iterdir():
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if f.suffix in (".png", ".bin") or f.name == "manifest.txt":
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f.unlink()
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images = {}
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for lamp_id in ("L0001", "L0006", "L0123", "L12345", "L9"):
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im = render_label(lamp_id)
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if reference is not None:
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ref = reference.render_label(lamp_id)
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assert ref.tobytes() == im.tobytes(), f"embedded render_label differs for {lamp_id}"
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images[f"label_{lamp_id}"] = im
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images.update(synthetic())
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images["random_404"] = random_image(404, 404, 404)
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images["random_696x300"] = random_image(696, 300, 696)
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images["random_500x200"] = random_image(500, 200, 500)
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images["random_300x696"] = random_image(300, 696, 300)
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images["random_1392x150"] = random_image(1392, 150, 1392)
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images["random_306x300"] = random_image(306, 300, 306)
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images["random_271x696"] = random_image(271, 696, 2716)
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images["random_236"] = random_image(236, 236, 236)
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images["sparse_1164x301"] = random_image(1164, 301, 1164, p=0.01)
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images["random_696x271"] = random_image(696, 271, 271)
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images["sparse_696x301"] = random_image(696, 301, 301, p=0.01)
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for name, im in images.items():
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im.save(OUT / f"{name}.png")
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cases = [] # (case name, model, label, [image names], kwargs)
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base = list(images)[:13] # 5 labels + 8 synthetic 202x202 images
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for name in base:
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for copies in (1, 2):
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cases.append((f"{name}_x{copies}", "QL-820NWB", "23x23", [name] * copies, {"cut": True}))
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q = "QL-820NWB"
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cases += [
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("label_L0006_nocut", q, "23x23", ["label_L0006"], {"cut": False}),
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("label_L0006_compress_x2", q, "23x23", ["label_L0006"] * 2, {"compress": True}),
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("random_202_compress", q, "23x23", ["random_202"], {"compress": True}),
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("checker_202_compress", q, "23x23", ["checker_202"], {"compress": True}),
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("black_202_compress", q, "23x23", ["black_202"], {"compress": True}),
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("white_202_compress", q, "23x23", ["white_202"], {"compress": True}),
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("corner_tl_rot0", q, "23x23", ["corner_tl"], {"rotate": 0}),
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("corner_tl_rot90", q, "23x23", ["corner_tl"], {"rotate": 90}),
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("corner_tl_rot180", q, "23x23", ["corner_tl"], {"rotate": 180}),
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("corner_tl_rot270", q, "23x23", ["corner_tl"], {"rotate": 270}),
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("corner_br_rot0", q, "23x23", ["corner_br"], {"rotate": 0}),
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("random_202_thr100", q, "23x23", ["random_202"], {"threshold": 100}),
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("random_202_thr0", q, "23x23", ["random_202"], {"threshold": 0}),
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("random_202_thr50", q, "23x23", ["random_202"], {"threshold": 50}),
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("random_202_lq", q, "23x23", ["random_202"], {"hq": False}),
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("random_202_dither", q, "23x23", ["random_202"], {"dither": True}),
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("random_202_dither_thr100", q, "23x23", ["random_202"], {"dither": True, "threshold": 100}),
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("multi_labels", q, "23x23", ["label_L0001", "label_L0006", "label_L12345"], {"cut": True}),
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("random_404_dpi600", q, "23x23", ["random_404"], {"dpi_600": True}),
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("random_404_dpi600_compress", q, "23x23", ["random_404"], {"dpi_600": True, "compress": True}),
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("endless62_696", q, "62", ["random_696x300"], {}),
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("endless62_resize500", q, "62", ["random_500x200"], {}),
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("endless62_rot90", q, "62", ["random_300x696"], {"rotate": 90}),
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("endless62_dpi600", q, "62", ["random_1392x150"], {"dpi_600": True}),
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("endless29_306", q, "29", ["random_306x300"], {"compress": True}),
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("diecut62x29_auto_rotate", q, "62x29", ["random_271x696"], {}),
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("round_d24", q, "d24", ["random_236"], {}),
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("ql1100_102", "QL-1100", "102", ["sparse_1164x301"], {"compress": True}),
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("ql1100_62", "QL-1100", "62", ["sparse_696x301"], {"compress": True}),
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("ql700_62_compress_ignored", "QL-700", "62", ["random_696x300"], {"compress": True}),
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("ql500_29", "QL-500", "29", ["random_306x300"], {}),
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("ql570_62x29", "QL-570", "62x29", ["random_696x271"], {"cut": False}),
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("ql800_23x23_x2", "QL-800", "23x23", ["label_L0006"] * 2, {"compress": True}),
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]
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lines = ["# name model label images options... (generated by tools/golden.py)"]
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for name, model, label, imgs, kwargs in cases:
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inputs = [Image.open(OUT / f"{i}.png") for i in imgs]
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for im in inputs:
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assert im.mode == "1", (i, im.mode)
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data = convert(qlr=BrotherQLRaster(model), images=inputs, label=label, **kwargs)
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(OUT / f"{name}.bin").write_bytes(data)
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opts = " ".join(f"{k}={v}" for k, v in kwargs.items())
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lines.append(f"{name} {model} {label} {','.join(i + '.png' for i in imgs)} {opts}".rstrip())
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(OUT / "manifest.txt").write_bytes(("\n".join(lines) + "\n").encode("ascii"))
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total = sum(f.stat().st_size for f in OUT.iterdir())
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print(f"{len(cases)} cases, {len(images)} images, {total} bytes in {OUT}")
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print("reference render_label checked" if reference else "reference render_label NOT checked")
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if __name__ == "__main__":
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main()
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