759 def get_det_data_all(self,frag):
760 frh = frag.get_header()
761 trigger_number = frh.trigger_number
762
763 get_ana_data = (self.ana_data_prescale is not None and (trigger_number % self.ana_data_prescale)==0)
764 get_wvfm_data = (self.wvfm_data_prescale is not None and (trigger_number % self.wvfm_data_prescale)==0)
765
766 if not (get_ana_data or get_wvfm_data):
767 return None,None
768
769 ana_data = None
770 wvfm_data = None
771
772 adcs = self.unpacker.np_array_adc_stream(frag)
773 dh = self.frame_obj(frag.get_data()).get_header()
774 det, crate, slot, stream = self.get_det_crate_slot_stream(frag)
775 daphne_chans = [ dh.channel_0, dh.channel_1, dh.channel_2, dh.channel_3 ]
776 channels = [ self.channel_map.get_offline_channel_from_det_crate_slot_stream_chan(det, crate, slot, stream, c) for c in daphne_chans ]
777
778 if get_ana_data:
779 adc_mean = np.mean(adcs,axis=0)
780 adc_rms = np.std(adcs,axis=0)
781 adc_max = np.max(adcs,axis=0)
782 adc_min = np.min(adcs,axis=0)
783 adc_median = np.median(adcs,axis=0)
784 ana_data = [ DAPHNEStreamAnalysisData(run=frh.run_number,
785 trigger=frh.trigger_number,
786 sequence=frh.sequence_number,
787 src_id=frh.element_id.id,
788 channel=channels[i_ch],
789 daphne_chan=daphne_chans[i_ch],
790 adc_mean=adc_mean[i_ch],
791 adc_rms=adc_rms[i_ch],
792 adc_max=adc_max[i_ch],
793 adc_min=adc_min[i_ch],
794 adc_median=adc_median[i_ch]) for i_ch in range(self.N_CHANNELS_PER_FRAME) ]
795 if get_wvfm_data:
796 timestamps = self.unpacker.np_array_timestamp_stream(frag)
797 ffts = np.abs(np.fft.rfft(adcs,axis=0))
798 wvfm_data = [ DAPHNEStreamWaveformData(run=frh.run_number,
799 trigger=frh.trigger_number,
800 sequence=frh.sequence_number,
801 src_id=frh.element_id.id,
802 channel=channels[i_ch],
803 daphne_chan=channels[i_ch],
804 adcs=adcs[:,i_ch],
805 timestamps=timestamps,
806 fft_mag=ffts[:,i_ch]) for i_ch in range(self.N_CHANNELS_PER_FRAME) ]
807 return ana_data, wvfm_data
808
809