2 Commits

Include renames

Author	SHA1	Message	Date
leonarski_f	baec34685d	Rugnux live: the uploaded model is refined after placement; refined scores, model, maps and blobs in the status, the viewer and the hero ... The live run refines a placed model as `rugnux` does (ProcessConfig::refine), after every decision and before the end message; a cut before it starts leaves it out, as the model. The writer still gets the placed model; the refined one stays with the broker. API (broker/jfjoch_api.yaml): - rugnux_live_model.refinement (rugnux_live_refinement): performed, reason, on_gpu, seconds, r_work, r_free, rmsd_bonds_A, rmsd_angles_deg, blob_count, blobs (at most 50, rugnux_live_blob: kind, x, y, z, peak_sigma, volume_A3, nearest_atom, nearest_atom_distance_A) - rugnux_live_status.refined_model - /rugnux/model.cif and /rugnux/map.ccp4 take stage=placed|refined, by default the refined model where there is one; the anomalous map stays on the placed model's phases (the refined coefficients carry none). Regenerated broker/gen, frontend/src/client, redoc, and the python client docs (which also brings the hero fields and rugnux_live_model it was missing). Frontend: the model card keeps its green/red and gets "R-free 0.xx (refined)" as its context line, "refining..." while the step runs; the model section adds refined R-free and blob tiles; Mol* shows the refined model and maps, with the blobs as small spheres coloured by reading (switch, off at first). The Refinement step is in the timeline like any other. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015CeEGgpKdfkCTJb3YNMJcu (cherry picked from commit 3b47fb9a53b7dfad1c1ed289e169094c8d3d9d3e)	2026-10-26 01:38:25 +01:00
leonarski_f	b00c668e3a	v1.0.0-rc.179 (#90) ... * Rugnux: Stills processing needs only the unit cell and space group beyond what the file records - detector distance, beam centre, tilt, panel placement, saturation level, gain and polarisation plane are found from the images - and is up to twice as fast. * Rugnux: Stills can be indexed without a GPU, with a CPU implementation of the fast-feedback indexer (macOS, computers without a GPU). * Rugnux: Rotation and stills data are integrated in the detector's own units with one gain model, improving data from CCD detectors. * Web frontend: The Rugnux live page shows the placed model with its electron density and anomalous difference map in a Mol* viewer. Reviewed-on: #90 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>	2026-10-24 14:52:29 +02:00