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Didactopus Direct Media Rendering Pipeline Layer

This update extends the layout-aware graph engine with a direct media-rendering pipeline for turning learning animations into shareable artifacts.

What it adds

SVG frame export integration
GIF manifest generation
MP4 manifest generation
FFmpeg-oriented render script scaffolding
API endpoint for media render jobs
UI prototype for creating export bundles

Why this matters

Didactopus should not stop at interactive playback. It should also be able to produce portable visual artifacts for:

research presentations
learner progress sharing
curriculum review
AI learner debugging
repository documentation

This layer provides a structured path from graph animation payloads to:

frame directories
render manifests
GIF/MP4-ready job bundles

Scope

This scaffold produces:

exported SVG frames
JSON render manifests
shell script scaffolding for FFmpeg conversion

It does not embed FFmpeg execution into the API server itself. That is a deliberate separation so rendering can be delegated to a worker or offline job.

Strong next step

actual worker-backed render execution
render status tracking
downloadable media artifact registry
parameterized themes, sizes, and captions

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