Pipeline Automation

The execution model is in blender-core (run_in_blender.py finds Blender and prints only the JSON results).

Batch one-liners

blender -b -P scripts/batch_process.py -- --in "assets/**/*.fbx" --op convert --to glb --out export/
blender -b -P scripts/batch_process.py -- --in library/ --op report                      # inventory JSON lines
blender -b -P scripts/batch_process.py -- --in "src/*.blend" --op script \
    --script ../blender-asset-qa/scripts/qa_check.py --kwargs '{"profile":"game"}'       # QA a whole library
blender -b -P scripts/batch_process.py -- --in src/ --op script --script ../blender-game-optimization/scripts/make_lods.py \
    --kwargs '{"rename":true}' --save-to processed/                                      # LODs for every file

Each file is streamed as one JSON line with ok, timing and results. Failures don't stop the batch, and the summary lists them. Parallel: start N processes with --shard 0/N … --shard N-1/N (Blender uses one core for Python, so processes scale with CPU/GPU count).