leonarski_f
fc68a9baed
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This is an UNSTABLE release. The release has significant modifications for data processing - in case of troubles go back to 1.0.0-rc.144. jfjoch_process: Generate a dedicated file (_process.h5), which can be used as a replacement for the _master.h5 file for a reanalyzed dataset. jfjoch_process: Improve the performance of scaling and merging, implement on the fly scaling. jfjoch_writer: All final data analysis results are repopulated in the _master.h5 file. jfjoch_scale: Dedicated tool for rescaling/merging existing data. jfjoch_viewer: Fix bugs where pixel labels where displayed on a wrong pixel. WARNING! Scaling and merging are experimental at the moment, and may not provide reasonable results for the time being. Reviewed-on: #56
59 lines
3.2 KiB
C++
59 lines
3.2 KiB
C++
// SPDX-FileCopyrightText: 2024 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
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// SPDX-License-Identifier: GPL-3.0-only
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#include "HDF5DataFilePluginPerformance.h"
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void HDF5DataFilePluginPerformance::OpenFile(HDF5File &data_file, const DataMessage &msg, size_t images_per_file) {
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indexing_time.reserve(images_per_file);
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index_analysis_time.reserve(images_per_file);
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spot_finding_time.reserve(images_per_file);
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integration_time.reserve(images_per_file);
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refinement_time.reserve(images_per_file);
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processing_time.reserve(images_per_file);
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bragg_prediction_time.reserve(images_per_file);
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preprocessing_time.reserve(images_per_file);
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compression_time.reserve(images_per_file);
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azint_time.reserve(images_per_file);
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image_scale_time.reserve(images_per_file);
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}
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void HDF5DataFilePluginPerformance::Write(const DataMessage &msg, uint64_t image_number) {
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indexing_time[image_number] = msg.indexing_time_s.value_or(NAN);
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spot_finding_time[image_number] = msg.spot_finding_time_s.value_or(NAN);
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integration_time[image_number] = msg.integration_time_s.value_or(NAN);
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refinement_time[image_number] = msg.refinement_time_s.value_or(NAN);
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processing_time[image_number] = msg.processing_time_s.value_or(NAN);
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bragg_prediction_time[image_number] = msg.bragg_prediction_time_s.value_or(NAN);
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preprocessing_time[image_number] = msg.preprocessing_time_s.value_or(NAN);
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compression_time[image_number] = msg.compression_time_s.value_or(NAN);
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azint_time[image_number] = msg.azint_time_s.value_or(NAN);
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image_scale_time[image_number] = msg.image_scale_time_s.value_or(NAN);
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}
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void HDF5DataFilePluginPerformance::WriteFinal(HDF5File &data_file) {
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HDF5Group(data_file, "/entry/profiling").NXClass("NXcollection");
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if (!spot_finding_time.empty())
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data_file.SaveVector("/entry/profiling/spotFindingTime", spot_finding_time.vec())->Units("s");
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if (!indexing_time.empty())
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data_file.SaveVector("/entry/profiling/indexingTime", indexing_time.vec())->Units("s");
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if (!integration_time.empty())
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data_file.SaveVector("/entry/profiling/integrationTime", integration_time.vec())->Units("s");
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if (!refinement_time.empty())
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data_file.SaveVector("/entry/profiling/refinementTime", refinement_time.vec())->Units("s");
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if (!processing_time.empty())
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data_file.SaveVector("/entry/profiling/processingTime", processing_time.vec())->Units("s");
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if (!bragg_prediction_time.empty())
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data_file.SaveVector("/entry/profiling/braggPredictionTime", bragg_prediction_time.vec())->Units("s");
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if (!preprocessing_time.empty())
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data_file.SaveVector("/entry/profiling/preprocessingTime", preprocessing_time.vec())->Units("s");
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if (!compression_time.empty())
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data_file.SaveVector("/entry/profiling/compressionTime", compression_time.vec())->Units("s");
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if (!azint_time.empty())
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data_file.SaveVector("/entry/profiling/azIntTime", azint_time.vec())->Units("s");
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if (!index_analysis_time.empty())
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data_file.SaveVector("/entry/profiling/indexAnalysisTime", index_analysis_time.vec())->Units("s");
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if (!image_scale_time.empty())
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data_file.SaveVector("/entry/profiling/imageScaleTime", image_scale_time.vec())->Units("s");
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}
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