Move image pixel reads to get_flattened_data and add the font libraries
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Pillow 12 renames Image.getdata to get_flattened_data; the award image
normaliser and the isslop hue histogram both read pixels that way. The image
stack also needs pango, harfbuzz, fontconfig and a base font in the container,
so text rendering has glyphs to work with.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
This commit is contained in:
retoor 2026-07-31 22:50:54 +02:00
parent a78b656ef9
commit 0ec3e61118
3 changed files with 4 additions and 2 deletions
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2
Dockerfile
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@ -4,6 +4,8 @@ WORKDIR /app
RUN apt-get update && apt-get install -y --no-install-recommends \ RUN apt-get update && apt-get install -y --no-install-recommends \
curl ca-certificates \ curl ca-certificates \
libglib2.0-0 libpango-1.0-0 libpangoft2-1.0-0 libharfbuzz0b libfontconfig1 \
fonts-dejavu-core \
&& rm -rf /var/lib/apt/lists/* && rm -rf /var/lib/apt/lists/*
# Optional: the docker CLI so the (admin-only) container manager can drive the host # Optional: the docker CLI so the (admin-only) container manager can drive the host

2
devplacepy/awards/images.py
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@ -12,7 +12,7 @@ def enforce_rgba_png(file_bytes: bytes) -> bytes:
corner = img.getpixel((0, 0)) corner = img.getpixel((0, 0))
if len(corner) == 4 and corner[3] == 255: if len(corner) == 4 and corner[3] == 255:
bg = corner[:3] bg = corner[:3]
data = img.getdata() data = img.get_flattened_data()
cleaned = [] cleaned = []
for pixel in data: for pixel in data:
if pixel[:3] == bg: if pixel[:3] == bg:

2
devplacepy/services/jobs/isslop/analysis/domsignals/color.py
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@ -188,7 +188,7 @@ def _screenshot_hue_buckets(screenshot_bytes: bytes) -> dict[int, int]:
image = Image.open(io.BytesIO(screenshot_bytes)).convert("RGB") image = Image.open(io.BytesIO(screenshot_bytes)).convert("RGB")
image = image.resize((64, 64)) image = image.resize((64, 64))
buckets: dict[int, int] = {} buckets: dict[int, int] = {}
for r, g, b in image.getdata(): for r, g, b in image.get_flattened_data():
hue, lightness, saturation = colorsys.rgb_to_hls(r / 255.0, g / 255.0, b / 255.0) hue, lightness, saturation = colorsys.rgb_to_hls(r / 255.0, g / 255.0, b / 255.0)
if saturation < 0.15 or lightness < 0.05 or lightness > 0.95: if saturation < 0.15 or lightness < 0.05 or lightness > 0.95:
continue continue