Roadmap
A few ideas how to develop the project further, currently a list as a reminder for the main developers themselves, in no particular order, though with a tendency to list more important aspects first:
For version 0.6
Implement derived importers for Magnettech files
Magnettech stores datasets in individual files, be it individual scans for accumulations or different steps in a series of measurements.
At least for goniometer, power, and modulation amplitude sweeps, these should be transformed into single datasets.
Requires interpolation of data, as each individual dataset has its own x axis (usually field).
Import infofiles in all magnettech importers.
Put infofile importer in utils module or elsewhere, to not copy code in every single importer
Implement handling of “RT” as temperature value in the infofile.
adapt infofile-importer (in every importer)
Logging
Frequency correction should issue a warning (rather than throwing an exception) if no MW frequency value is contained in dataset (yes, such datasets do exist unfortunately)
Reorganise templates for reports, according to the directory layout proposed by aspecd (see
aspecd.reportfor details).Bugfixes
Handle filename with ‘.’ in TxtImporter that is given without extension
Keep step parameter of magnetic field or not?
Fix docs in txt-file importer module.
Check Offset method of Frequency correction. Might be incorrect.
For later versions
Start to (re)implement functionality test-driven.
Handling of Magnettech files
Renaming to sensible conventions (recursively through directories)
Batch processing (via recipes?)
Basic preprocessing, plot, export as PNG/PDF, figure caption for dokuwiki
Todos
A list of todos, extracted from the code and documentation itself, and only meant as convenience for the main developers. Ideally, this list will be empty at some point.
Todo
Assign further metadata. Note that some metadata are entered manually, and therefore, parsing values with units with or without space between value and unit can be quite tricky.
Todo
Does not work properly. Already gives wrong values with simulated data without a hyperfine-coupling. Reimplement with other method…
Todo
Do not rely on dataset from recipe properties but use the dataset from apply_to that is imported into the context. Further deal with (meta)data in the context thus that those are easily usable in a template.