Add PPI layer metadata save automation
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@@ -343,7 +343,8 @@ asset-level decode coverage, and
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`pano_cli load-project` creates a `pp_document` projection with per-layer frame
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counts, durations, and decoded face-pixel payload attachment when PPI image
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payloads are present.
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`pano_cli save-project` writes generated multi-layer, multi-frame PPI files through the
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`pano_cli save-project` writes generated multi-layer, multi-frame PPI files
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with layer opacity, blend mode, alpha lock, and visibility metadata through the
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extracted `pp_assets` writer and round-trips metadata-only and test
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dirty-face-payload variants through `load-project`.
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`pano_cli create-document` can create simple animation documents with explicit
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@@ -791,10 +792,10 @@ Results:
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- `pano_cli export-image` writes deterministic RGBA8 PNGs through `pp_assets`
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and has a save/import round-trip smoke test. Full legacy canvas export
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remains a future `pano_cli` task.
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- `pano_cli save-project` exposes generated multi-layer, multi-frame PPI writing through JSON
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automation and is covered by metadata-only and dirty-face-payload save/load
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round-trip smoke tests. Full legacy canvas save parity remains
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tracked by DEBT-0013.
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- `pano_cli save-project` exposes generated multi-layer, multi-frame PPI
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writing with layer metadata through JSON automation and is covered by
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metadata-only and dirty-face-payload save/load round-trip smoke tests. Full
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legacy canvas save parity remains tracked by DEBT-0013.
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- PowerShell package-smoke wrapper validates the Windows CMake app executable
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and runtime `data/` copy.
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- Android arm64 configured with NDK 29.0.14206865 through the platform-build
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