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Jungfraujoch/receiver/JFJochReceiverLite.cpp
leonarski_fandjungfrau 4dc2534dbf
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v1.0.0.rc-162 (#72)
**Files written by Jungfraujoch now import correctly in DIALS, XDS and pyFAI.** A tilted detector, a grid scan, a still recorded at a goniometer position, and saturated or unreadable pixels were each described in a way that a third-party program acted on wrongly. If you process Jungfraujoch data outside Jungfraujoch, prefer this release to any earlier one.

* HDF5: the detector tilt (`rot1`/`rot2`/`rot3`) is exported correctly in the NXmx transformation chain; untilted geometries are unaffected.
* HDF5: a still recorded at a goniometer position is no longer read back as a single image, and a grid scan records a stationary spindle so a program that requires a rotation axis can open it.
* HDF5: the sample transformation chain is written in mounting order, with a Smargon head position told apart from the spindle, one entry per image, `module_offset` as a float unit vector, and `offset_units` on every offset.
* HDF5: saturated, underloaded and unreadable pixels are described so a downstream program masks them - `saturation_value`, `underload_value`, `error_value` and `bit_depth_readout` are written correctly, and a data file missing next to a VDS master reads as the error marker rather than as zero counts.
* HDF5: the rotation axis is read back under whatever name it carries, and `mirror_y` records whether the assembled image is mirrored in Y relative to the detector's raw readout.
* A grid scan and a goniometer axis can both be set; they are no longer alternatives.
* `images_per_file` is chosen from the acquisition when it is not given: a rotation sweep of at most 20000 images goes into a single data file, a grid scan splits on whole fast-axis rows, and stills and serial keep 1000.
* The writer refuses a stream whose start message declares a different pixel format than its images carry, and a DECTRIS detector sending signed images is no longer declared unsigned.
* The image stream can carry the sample transformation chain (`transformations`, in the END message); a producer that does not send it gets the same chain built by the writer.
* rugnux: fixing the space group with `-S` no longer prevents the lattice from being found - a lattice indexed in a different setting is reindexed into that group's own setting, and a run whose crystal does not have that group's lattice stops and names the cell it indexed as, rather than reporting statistics that cannot describe it.
* rugnux: the per-image resolution estimate now predicts the resolution the merged data reach rather than the highest-resolution spot found, and is reported as `SPOT_RESOLUTION_ESTIMATE`.
* rugnux: two runs of the same command on the same images produce the same merged intensities; the azimuthal profile written alongside them is not yet reproducible in the same way.
* rugnux: the offline lattice refinement is bounded by iterations rather than by a wall clock, so a loaded machine can no longer refine to a different lattice; a live acquisition keeps its real-time bound.
* rugnux: the detector-frame modulation correction is fitted on a grid spanning the detector, so whether it is applied no longer depends on how far integration reached.
* rugnux: the geometry pre-pass no longer writes `<prefix>_01.mtz`, `_01.cif`, `_01.hkl` and `_01_image.dat`; the refined second pass writes those files under `<prefix>`, and that is the result to use.
* rugnux: `_process.h5` describes the pixel format of the images it links to, and is written on a thread of its own.
* rugnux: the detector geometry is also logged in XDS's convention (`ORGX`/`ORGY`, detector axis vectors, rotation axis), so it can be compared with an XDS refinement.
* rugnux: an image integrated in pyFAI through the `.poni` file written by `--mode calibration` comes out with the correct azimuth, and the file declares pyFAI's `orientation`, which needs pyFAI 2024.01 or newer. Radial integration is unchanged.
* rugnux: a rotation run is substantially faster throughout - beam-stop detection, first-pass indexing, geometry refinement, integration, scaling and merging - and observations outside the scaling resolution range are dropped as they are ingested. The refined geometry, the space group chosen and the merged statistics are unchanged.
* Faster spot finding and indexing, on the broker as well as in rugnux; the spots found and the lattices indexed are unchanged.
* A run reserves substantially less GPU memory: nothing is allocated for buffers that are never read, and a worker builds only the engines it uses.
* rugnux: with `-N` left at its default the per-image loop of `--mode mx` uses at most 16 workers per GPU, rather than one per hardware thread; an explicit `-N` is obeyed as given.
* CUDA 12 builds now contain device code for Volta, so the RHEL 8 packages and the portable Linux `.tgz` run on a V100; the CUDA 13 artefacts (RHEL 9, Ubuntu, Windows) remain Turing and newer.
* The build resolves a single Eigen for the whole project, and refuses to configure if Ceres picks up a different one; a build that mixed two Eigen versions was undefined behaviour and crashed at -O2.
* Documentation: a security page, and the supported GPU generations and minimum NVIDIA driver version of every released artefact.

**Breaking change to OpenAPI** - regenerate the client (`jfjoch-client` 1.0.0-rc.162, `frontend/src/client`):
* `dataset_settings.images_per_file` is no longer `default: 1000` and no longer accepts `0`; it is optional, and its minimum is 1. A client sending `0` (previously "one file for the whole run") is now rejected - omit the field instead, which for a rotation sweep gives the same single file.
* `file_writer_format` now defaults to `NXmxVDS`, matching the server's own default and the layout recommended for DIALS, XDS and CrystFEL. A generated client that fills in schema defaults and does not set the format explicitly will write VDS masters where it previously wrote legacy ones; set `NXmxLegacy` explicitly to keep them.

---------

Co-authored-by: jungfrau <jungfrau@mx-aare-test.psi.ch>
Reviewed-on: #72
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-08-25 08:21:39 +02:00

433 lines
18 KiB
C++

// SPDX-FileCopyrightText: 2024 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#include "JFJochReceiverLite.h"
#include "../image_analysis/indexing/IndexerFactory.h"
#include "../common/CUDAWrapper.h"
using namespace std::chrono_literals;
namespace {
// Serialize a processed image into its buffer slot. The slot holds the compressed
// image plus the per-image CBOR metadata (spot list, reflection list, ...); if an
// unusually rich frame makes that metadata too large to fit alongside the image,
// drop just this frame (log + recycle the slot) instead of letting the serializer
// throw, which would abort the whole data collection. Returns true when the image
// was serialized and the slot is ready for the caller to commit.
bool SerializeImageOrDrop(CBORStream2Serializer &serializer, DataMessage &msg,
ZeroCopyReturnValue &loc, size_t slot_size, Logger &logger) {
try {
serializer.SerializeImage(msg);
return true;
} catch (const JFJochException &) {
// Confirm this is a slot-overflow (not some other CBOR error) by re-serializing
// the metadata alone with an empty image placeholder: that always fits when the
// image is what overflowed, and gives the exact metadata size for the log. If it
// throws too, it is not a simple overflow and the exception propagates.
const auto image = msg.image;
msg.image = CompressedImage(nullptr, 0, image.GetWidth(), image.GetHeight(),
image.GetMode(), image.GetCompressionAlgorithm(),
image.GetChannel());
CBORStream2Serializer meas(static_cast<uint8_t *>(loc.GetImage()), slot_size);
meas.SerializeImage(msg);
const size_t metadata_size = meas.GetImageAppendOffset();
msg.image = image;
logger.Error("Dropping image {} - CBOR metadata too large to store image: "
"metadata {} B + image {} B do not fit in buffer slot {} B",
msg.number, metadata_size, image.GetCompressedSize(), slot_size);
loc.release();
return false;
}
}
}
int64_t JFJochReceiverLite::NumberOfDataAnalysisThreads(int64_t requested_thread_number,
const DiffractionExperiment& in_experiment) {
int64_t number_of_images = in_experiment.GetImageNum();
auto image_time = in_experiment.GetImageTime();
if (requested_thread_number <= 0)
return 1;
// For very small datasets no need to go multithreaded
if (number_of_images < 4)
return 1;
if (number_of_images < 16)
return std::min<int64_t>(2, requested_thread_number);
// For 100 Hz, there is no reason to go for a very large number of threads
if (number_of_images < 256 || (image_time >= 10ms))
return std::min<int64_t>(16, requested_thread_number);
return requested_thread_number;
}
JFJochReceiverLite::JFJochReceiverLite(const DiffractionExperiment &in_experiment,
const PixelMask &in_pixel_mask,
ImagePuller &in_image_puller,
ImagePusher &in_image_pusher,
Logger &in_logger,
int64_t forward_and_sum_nthreads,
const SpotFindingSettings &in_spot_finding_settings,
JFJochReceiverCurrentStatus &in_current_status,
JFJochReceiverPlots &in_plots,
ImageBuffer &in_image_buffer,
ZMQPreviewSocket *in_zmq_preview_socket,
ZMQMetadataSocket *in_zmq_metadata_socket,
IndexerThreadPool *indexing_thread_pool)
: JFJochReceiver(in_experiment,
in_image_buffer,
in_image_pusher,
in_current_status,
in_plots,
in_spot_finding_settings,
in_logger,
in_pixel_mask,
in_zmq_preview_socket,
in_zmq_metadata_socket,
indexing_thread_pool),
image_puller(in_image_puller),
data_analysis_nthreads(NumberOfDataAnalysisThreads(forward_and_sum_nthreads, in_experiment)),
data_analysis_started(data_analysis_nthreads),
measurement_started(1),
dark_mask_analysis(in_experiment.GetDarkMaskSettings(), in_experiment.GetPixelsNum()) {
logger.Info("Starting {} data analysis threads", data_analysis_nthreads);
if (experiment.GetDetectorMode() == DetectorMode::DarkMask) {
for (int i = 0; i < data_analysis_nthreads; i++)
data_analysis_futures.emplace_back(
std::async(std::launch::async, &JFJochReceiverLite::MaskThread, this, i)
);
} else {
// Start frame transformation threads
for (int i = 0; i < data_analysis_nthreads; i++)
data_analysis_futures.emplace_back(
std::async(std::launch::async, &JFJochReceiverLite::DataAnalysisThread, this, i)
);
}
measurement = std::async(std::launch::async, &JFJochReceiverLite::MeasurementThread, this);
data_analysis_started.wait();
logger.Info("Data analysis threads ready");
}
JFJochReceiverLite::~JFJochReceiverLite() {
cancelled = true;
try {
if (measurement.valid())
measurement.get();
} catch (const std::exception& e) {
logger.Error("ReceiverLite teardown failed: {}", e.what());
} catch (...) {
logger.Error("ReceiverLite teardown failed with unknown exception");
}
}
void JFJochReceiverLite::MeasurementThread() {
try {
// Wait for start message to arrive
auto msg = image_puller.PollImage();
while (!cancelled && (!msg.has_value() || !msg->cbor || !msg->cbor->start_message))
msg = image_puller.PollImage();
if (cancelled) {
current_status.SetProgress({});
current_status.SetStatus(GetStatus());
measurement_started.count_down();
return; // just quit the function - no measurement, no results
}
Configure(msg->cbor->start_message.value());
image_buffer.StartMeasurement(experiment); // Only at this point we know bit-depth of the images
start_time = std::chrono::system_clock::now();
// Send new start message out
SendStartMessage();
measurement_started.count_down();
} catch (const JFJochException &e) {
logger.ErrorException(e);
Cancel(e);
measurement_started.count_down();
throw;
}
logger.Info("Receiving started");
// Analysis is running
// ...
// Till it is done.
// Combine frame transformation threads
for (auto &f: data_analysis_futures)
f.get();
logger.Info("Data analysis threads finished");
current_status.SetProgress(1.0);
current_status.SetStatus(GetStatus());
// Send end message out
SendEndMessage();
if (!image_buffer.CheckIfBufferReturned(std::chrono::seconds(10))) {
logger.Error("Send commands not finalized in 10 seconds");
throw JFJochException(JFJochExceptionCategory::ZeroMQ, "Send commands not finalized in 10 seconds");
}
logger.Info("All images sent through ZeroMQ");
if (push_images_to_writer)
writer_error = image_pusher.Finalize();
logger.Info("Writing process finalized");
end_time = std::chrono::system_clock::now();
current_status.SetProgress({});
current_status.SetStatus(GetStatus());
}
void JFJochReceiverLite::Configure(const StartMessage &msg) {
if ((experiment.GetXPixelsNum() != msg.image_size_x)
|| (experiment.GetYPixelsNum() != msg.image_size_y))
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"Mismatch in detector size");
if (fabs(experiment.GetPixelSize_mm() - msg.pixel_size_x * 1e3) > 1e-7)
throw JFJochException(JFJochExceptionCategory::InputParameterInvalid,
"Mismatch in pixel size");
experiment.Detector().Description(msg.detector_description);
experiment.Detector().SerialNumber(msg.detector_serial_number);
experiment.Detector().SensorMaterial(msg.sensor_material);
experiment.Detector().SensorThickness_um(msg.sensor_thickness * 1e6);
experiment.Detector().SaturationLimit(SaturationLimitFromValue(msg.saturation_value));
// Images are forwarded byte-for-byte, so the stream's own image_dtype - not anything configured
// locally - decides both the width and the sign the outgoing metadata must declare. Taking only
// the width used to leave a signed stream declared unsigned in NXmx.
experiment.Detector().BitDepthImage(msg.bit_depth_image);
experiment.PixelSigned(msg.pixel_signed);
}
void JFJochReceiverLite::MaskThread(uint32_t id) {
std::vector<uint8_t> buffer;
data_analysis_started.count_down();
measurement_started.wait();
while (!cancelled && !end_message_received) {
try {
auto msg = image_puller.PollImage(std::chrono::milliseconds(5));
if (!msg.has_value() || !msg->cbor) {
// Message not received or not parsed
continue;
} else if (msg->cbor->end_message) {
end_message_received = true;
logger.Debug("Thread {} end message received in JFJochReceiverLite", id);
} else if (msg->cbor->data_message) {
++images_collected;
DataMessage data_msg = msg->cbor->data_message.value();
dark_mask_analysis.AnalyzeImage(data_msg, buffer);
compressed_size += data_msg.image.GetCompressedSize();
uncompressed_size += data_msg.image.GetUncompressedSize();
UpdateMaxImageReceived(data_msg.number);
auto loc = image_buffer.GetImageSlot();
if (loc == nullptr)
writer_queue_full = true;
else {
auto writer_buffer = (uint8_t *) loc->GetImage();
CBORStream2Serializer serializer(writer_buffer, experiment.GetImageBufferLocationSize());
if (SerializeImageOrDrop(serializer, data_msg, *loc,
experiment.GetImageBufferLocationSize(), logger)) {
loc->SetImageNumber(data_msg.number);
loc->SetImageSize(serializer.GetBufferSize());
loc->SetIndexed(false);
loc->release();
}
}
}
current_status.SetProgress(GetProgress());
current_status.SetStatus(GetStatus());
} catch (const JFJochException &e) {
logger.ErrorException(e);
Cancel(e);
}
}
}
void JFJochReceiverLite::DataAnalysisThread(uint32_t id) {
std::unique_ptr<MXAnalysisWithoutFPGA> analysis;
logger.Debug("Thread {} started", id);
try {
pin_gpu();
} catch (const JFJochException &e) {
logger.Warning("Error pinning GPU {}", e.what());
}
data_analysis_started.count_down();
measurement_started.wait();
try {
analysis = std::make_unique<MXAnalysisWithoutFPGA>(experiment, *az_int_mapping, pixel_mask, indexer,
/*enable_fused_adaptive_gpu=*/true);
} catch (const JFJochException &e) {
Cancel(e);
return;
}
while (!cancelled && !end_message_received) {
try {
auto msg = image_puller.PollImage(std::chrono::milliseconds(5));
if (!msg.has_value() || !msg->cbor) {
// Message not received or not parsed
continue;
} else if (msg->cbor->end_message) {
// Message is end message
end_message_received = true;
logger.Debug("Thread {} End message received in JFJochReceiverLite", id);
} else if (msg->cbor->calibration) {
// Calibration messages are just forwarded
if (push_images_to_writer)
image_pusher.SendCalibration(msg->cbor->calibration.value());
} else if (msg->cbor->data_message) {
auto start = std::chrono::high_resolution_clock::now();
DataMessage data_msg = msg->cbor->data_message.value();
++images_collected;
auto compressed_size_img = data_msg.image.GetCompressedSize();
auto uncompressed_size_img = data_msg.image.GetUncompressedSize();
compressed_size += compressed_size_img;
uncompressed_size += uncompressed_size_img;
UpdateMaxImageReceived(data_msg.number);
auto image_start_time = std::chrono::high_resolution_clock::now();
AzimuthalIntegrationProfile profile(*az_int_mapping);
analysis->Analyze(data_msg, profile, GetSpotFindingSettings());
auto image_end_time = std::chrono::high_resolution_clock::now();
std::chrono::duration<float> image_duration = image_end_time - image_start_time;
data_msg.processing_time_s = image_duration.count();
data_msg.original_number = data_msg.number;
data_msg.user_data = experiment.GetImageAppendix();
data_msg.run_number = experiment.GetRunNumber();
data_msg.run_name = experiment.GetRunName();
data_msg.receiver_buf_available = image_buffer.GetAvailSlots();
data_msg.receiver_aq_dev_delay = image_puller.GetCurrentFifoUtilization();
// Compression ratio is uncompressed/compressed (e.g. 7x), matching the FPGA path
// (JFJochReceiverFPGA) and the aggregate (JFJochReceiver::GetFinalStatistics) - not the
// reciprocal.
if (compressed_size_img > 0)
data_msg.compression_ratio = static_cast<float>(uncompressed_size_img)
/ static_cast<float>(compressed_size_img);
saturated_pixels.Add(data_msg.saturated_pixel_count);
error_pixels.Add(data_msg.error_pixel_count);
if (data_msg.roi.contains("beam")) {
roi_beam_npixel.Add(data_msg.roi["beam"].pixels);
roi_beam_sum.Add(data_msg.roi["beam"].sum);
}
plots.Add(data_msg, profile);
scan_result.Add(data_msg);
if (!serialmx_filter.ApplyFilter(data_msg))
++images_skipped;
else {
auto loc = image_buffer.GetImageSlot();
if (loc == nullptr)
writer_queue_full = true;
else {
auto writer_buffer = (uint8_t *) loc->GetImage();
CBORStream2Serializer serializer(writer_buffer, experiment.GetImageBufferLocationSize());
if (SerializeImageOrDrop(serializer, data_msg, *loc,
experiment.GetImageBufferLocationSize(), logger)) {
loc->SetImageNumber(data_msg.number);
loc->SetImageSize(serializer.GetBufferSize());
loc->SetIndexed(data_msg.indexing_result.value_or(false));
loc->ReadyToSend();
if (zmq_preview_socket != nullptr)
zmq_preview_socket->SendImage(writer_buffer, serializer.GetBufferSize());
if (zmq_metadata_socket != nullptr)
zmq_metadata_socket->AddDataMessage(data_msg);
if (push_images_to_writer) {
// Only count images the pusher accepted; TCP can drop on a
// broken/absent connection or an expired enqueue deadline.
if (image_pusher.SendImage(*loc))
++images_sent;
} else
loc->release();
UpdateMaxImageSent(data_msg.number);
}
}
}
auto end = std::chrono::high_resolution_clock::now();
std::chrono::duration<float> duration_total = end - start;
logger.Debug("Thread {} Image {:6d} processing {:8.04f} s analysis {:8.04f} s",
id, data_msg.number, duration_total.count(), image_duration.count());
}
UpdateMaxDelay(image_puller.GetCurrentFifoUtilization());
current_status.SetProgress(GetProgress());
current_status.SetStatus(GetStatus());
} catch (const JFJochException &e) {
logger.ErrorException(e);
Cancel(e);
}
}
logger.Debug("Thread {} finished", id);
}
void JFJochReceiverLite::StopReceiver() {
if (measurement.valid()) {
measurement.get();
logger.Info("Receiver stopped");
}
}
float JFJochReceiverLite::GetEfficiency() const {
if (experiment.GetFrameNum() == 0)
return 0;
return static_cast<float>(images_collected) / static_cast<float>(experiment.GetFrameNum());
}
float JFJochReceiverLite::GetProgress() const {
if (experiment.GetFrameNum() == 0)
return 0.0;
return static_cast<float>(max_image_number_received) / static_cast<float>(experiment.GetFrameNum());
}
void JFJochReceiverLite::SetSpotFindingSettings(const SpotFindingSettings &in_spot_finding_settings) {
std::unique_lock ul(spot_finding_settings_mutex);
DiffractionExperiment::CheckDataProcessingSettings(in_spot_finding_settings);
spot_finding_settings = in_spot_finding_settings;
}
JFJochReceiverOutput JFJochReceiverLite::GetFinalStatistics() const {
JFJochReceiverOutput ret = JFJochReceiver::GetFinalStatistics();
if (experiment.GetDetectorMode() == DetectorMode::DarkMask)
ret.dark_mask_result = dark_mask_analysis.GetMask();
return ret;
}