The annular-ring veil approach sampled too small a region (38 px moon
in 3840×2160 gives a tiny annulus) and was invisible in practice.
More fundamentally, using the whole east sky is what "relayed to where
it was taken" actually means.
New approach — _make_east_sky_backdrop():
Scale the full east camera frame to output size, apply GaussianBlur
r = output_width // 6 (≈ 320 px at 1920 wide). The blur erases RTSP
artefacts, OSD overlays, and the wide-angle look while preserving real
sky colour, cloud / haze gradients, and the dark ground silhouette.
The NASA moon disk is pasted sharp on top. The result reads as east
photographed the moon through a telephoto with its actual sky that night.
Clear dark sky → nearly black backdrop (same feel as before).
Thin cloud cover → soft grey-blue haze behind the sharp moon.
Heavy overcast → the moon detection would not qualify, so this case
never reaches rendering.
Config rename: MOON_CLOUD_OVERLAY_* → MOON_EAST_SKY_ENABLED / _BLUR.
moon_phase_monthly.py: CLOUD_OVERLAY_* → EAST_SKY_*.
render_phase_closeup(): cloud_overlay_* params → east_sky_*.
test_moon_composite.py: replace full_moon_closeup.jpg (timestamped
photograph) with a procedural grey disc generated via PIL + numpy so the
test does not look like it is reusing an existing image.
https://claude.ai/code/session_01HkTxpNSTWtViZzxbrbKytR
test_moon_composite.py uses the existing repo sample frames
(21-07-00.jpg east frame with thin cloud cover + full_moon_closeup.jpg
as NASA render stand-in) to produce test_composite_out.jpg without
needing a live NASA API call or moon detection run.
Run: python3 test_moon_composite.py
https://claude.ai/code/session_01HkTxpNSTWtViZzxbrbKytR
Claude