DQM failing for single-gain runs

[jlenain]

The DQM is currently failing for runs which contain only one gain (high or low). Here is an example for run 3829:

NectarCAM_Run3829
SqlFileName /home/jlenain/data/nectarcam_monitoring_db_2022-11-28.sqlite
Error Code:  no such table: monitoring_drawer_temperatures
DRAWER TEMPERATURE COULD NOT BE RETRIEVED!
Traceback (most recent call last):
  File "start_calib.py", line 184, in <module>
    for i, evt in enumerate(reader):
  File "/opt/conda/envs/nectarchain/lib/python3.8/site-packages/ctapipe/io/eventsource.py", line 278, in __iter__
    for event in self._generator():
  File "/opt/conda/envs/nectarchain/lib/python3.8/site-packages/ctapipe_io_nectarcam/__init__.py", line 304, in _generator
    self.fill_r0r1_container(array_event, event)
  File "/opt/conda/envs/nectarchain/lib/python3.8/site-packages/ctapipe_io_nectarcam/__init__.py", line 621, in fill_r0r1_container
    r0, r1 = self.fill_r0r1_camera_container(zfits_event)
  File "/opt/conda/envs/nectarchain/lib/python3.8/site-packages/ctapipe_io_nectarcam/__init__.py", line 607, in fill_r0r1_camera_container
    reshaped_waveform = zfits_event.waveform.reshape(N_GAINS, n_pixels, n_samples)
ValueError: cannot reshape array of size 110040 into shape (2,1834,60)

This can be solved using @tibaldo 's suggestion as in cta-observatory/ctapipe_io_nectarcam#34 (comment).

[jlenain]

#101 introduces an option in the DQM to enable/disable R0->R1 calibration, and should solve this issue.