mirror of
https://github.com/kuhyx/testsAndMisc.git
synced 2026-11-12 17:10:57 +01:00
Krzysztof kuhy Rudnicki
d502580e3f
Six text-free styles (gradient, flow/Voronoi, habit heatmap, shutdown clock, Earth day/night, plasma) replace the white i3 root. A 15-minute systemd user timer picks a new random style per monitor every 3 hours, unlike its previous one and the other monitor's; live styles refresh in between. Also syncs i3/config with the live config and prunes the oldest evidence artifact for the 60-file cap. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01WzxdWX51FMD58yKUC1eYWf
51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
"""Every style renders the exact output size and stays dark."""
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from __future__ import annotations
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from datetime import UTC, datetime
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from typing import TYPE_CHECKING
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import numpy as np
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from PIL import Image
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import pytest
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from python_pkg.wallpaper_rotator._context import RenderContext
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from python_pkg.wallpaper_rotator.styles import STYLES
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if TYPE_CHECKING:
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from pathlib import Path
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# Mean brightness ceiling (0-255): the whole point is "not blinding".
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_DARK_MEAN = 80
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@pytest.fixture
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def ctx(tmp_path: Path) -> RenderContext:
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earth = tmp_path / "earth"
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earth.mkdir()
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Image.new("RGB", (64, 32), (40, 90, 160)).save(earth / "day.jpg")
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Image.new("RGB", (64, 32), (5, 5, 10)).save(earth / "night.jpg")
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conf = tmp_path / "shutdown.conf"
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conf.write_text("MON_WED_MINUTES=1380\nTHU_SUN_MINUTES=1380\n")
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return RenderContext(
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now=datetime(2026, 11, 11, 21, 30, tzinfo=UTC),
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data_home=tmp_path / "share",
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earth_dir=earth,
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shutdown_conf=conf,
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)
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def test_all_six_styles_registered() -> None:
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assert len(STYLES) == 6
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@pytest.mark.parametrize("name", sorted(STYLES))
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@pytest.mark.parametrize("size", [(384, 216), (256, 144)])
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def test_style_is_exact_size_and_dark(
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name: str, size: tuple[int, int], ctx: RenderContext
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) -> None:
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image = STYLES[name].render(ctx, size, np.random.default_rng(3))
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assert image.size == size
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assert image.mode == "RGB"
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assert float(np.asarray(image).mean()) < _DARK_MEAN
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