Add AGIPD Fixed Gain Mode

See merge request detectors/pycalibration!438

Add AGIPD Fixed Gain Correction

See merge request detectors/pycalibration!451

Add instructions on setting up GitLab SSH to README

See merge request detectors/pycalibration!455

Fix SQL parameter for query-rid action

See merge request detectors/pycalibration!460

It needs to be a tuple even when there's a single argument.

https://in.xfel.eu/redmine/issues/87389

We had both imported cal_tools.cython.agipdalgs as calgs
# Conflicts:
#   cal_tools/cal_tools/agipdlib.py

[AGIPD][CORRECT] Fix/Add missing imports for agipdlib

See merge request detectors/pycalibration!454

Merge branch 'feat/agipd-fixed-gain-correction' of ssh://git.xfel.eu:10022/detectors/pycalibration into feat/agipd-fixed-gain-correction

Merge branch 'feat/agipd-fixed-gain-correction' of ssh://git.xfel.eu:10022/detectors/pycalibration into feat/agipd-fixed-gain-correction

- trailing whitespace
- unused variables
- unused imports
- misc formatting

nbstripout, some flake8 (removing unused variables, imports), isort, simplifying retrieve_constants
as it does not need to work under ipyparallel

Merge branch 'feat/agipd-add-fixed-gain' of ssh://git.xfel.eu:10022/detectors/pycalibration into feat/agipd-add-fixed-gain

Currently, there is no way to specify most parameters when requesting darks via MyMDC - values are
just loaded from the calibration configurations repository.  To allow for using different offset
thresholds in fixed gain mode versus adaptive gain mode, adding these extra parameters is a
pragmatic if not elegant solution for now.

The relevant data is copied into memory in pretty large chunks, so the core driver is not expected
to do much for us here.  In some brief testing, using the default driver instead resulted in
approximately the same (or slightly better) runtime and significantly lower peak memory consumption.

This requires the pending MR for cal_db_interactive.  Tested with e79f2c9d (current head of the
branch of that MR).