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* Rugnux: Stills processing needs only the unit cell and space group beyond what the file records - detector distance, beam centre, tilt, panel placement, saturation level, gain and polarisation plane are found from the images - and is up to twice as fast. * Rugnux: Stills can be indexed without a GPU, with a CPU implementation of the fast-feedback indexer (macOS, computers without a GPU). * Rugnux: Rotation and stills data are integrated in the detector's own units with one gain model, improving data from CCD detectors. * Web frontend: The Rugnux live page shows the placed model with its electron density and anomalous difference map in a Mol* viewer. Reviewed-on: #90 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
189 lines
11 KiB
C++
189 lines
11 KiB
C++
// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
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// SPDX-License-Identifier: GPL-3.0-only
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#pragma once
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#include <cstddef>
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#include <memory>
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#include <optional>
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#include <string>
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#include <utility>
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#include <vector>
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#include "JFJochReader.h"
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#include "DetectorLayout.h"
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#include "HDF5ImageSource.h"
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class HDF5ReadOnlyFile;
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// Reads serial (stills) frames from HDF5 files written by the XFEL pipelines, and places their panels on
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// the detector plane:
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//
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// - a SACLA Cheetah file (one group per shot, /tag-N/data, the sensors stacked in the frame): the
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// sensors are placed where the file's /metadata puts them, with its camera length and pixel mask,
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// and the photon energy of every shot;
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// - a Cheetah CXI file of a single-panel detector (the frames stacked at /entry_1/data_1/data): one
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// flat panel with the pixel size, photon energy and camera length the file states, centred on the
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// beam - the run measures the centre;
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// - any of these, or files holding one frame each, laid out by a CrystFEL geometry file instead.
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//
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// A detector of several panels is handed out as stored: the image is the stored frame, and each panel a
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// module (DetectorModules) placing its box of the frame on the detector plane exactly where the layout puts
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// it, which the run maps its pixels, spots and predictions through. Pixels on no panel, and every masked or
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// bad region, are masked. A single panel is put on an image of its own whole, as a block, its axes turned to
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// the nearest image axis and its first pixel at a whole pixel; the rest of its placement is its module's. Pixel values are
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// converted to photons with the gain where one is given or measured, one value for every panel, and are
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// otherwise left in detector units: integers then stay integers, a 16-bit signed frame in its own type.
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//
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// One wavelength and one camera length hold for the whole run: where the file states one per shot, it
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// is the mean over every frame of the run.
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//
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// A path is one file, or a directory, every .h5/.cxi file of which is read in name order. Only a few
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// files are held open at a time, so a run of thousands of files is read as well as one.
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class JFJochXFELReader : public JFJochReader {
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std::vector<xfel::Mask> extra_masks_;
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struct Frame {
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size_t file;
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std::string dataset;
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int64_t index; // along the first dimension of a 3D dataset; -1 for a 2D one
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std::string group; // the shot group the geometry's % stands for, if any
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};
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xfel::Layout geom_;
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std::string source_; // where geom_ came from, for messages
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std::vector<std::string> files_;
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std::vector<Frame> frames_;
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std::shared_ptr<JFJochReaderDataset> dataset_;
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// The most recently used files, held open; the least recent is closed past MAX_OPEN_FILES.
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static constexpr size_t MAX_OPEN_FILES = 8;
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mutable std::vector<std::pair<size_t, std::unique_ptr<HDF5ReadOnlyFile>>> open_files_;
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HDF5ReadOnlyFile &FileAt(size_t file) const; // under hdf5_mutex
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std::shared_ptr<const HDF5ImageSource::RawFile> RawFileAt(size_t file) const; // under hdf5_mutex
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size_t frame_width_ = 0, frame_height_ = 0; // the stored frame
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size_t width_ = 0, height_ = 0; // the image handed out
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// A single panel: where its pixels land on the image - its first stored pixel, its size, and the image
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// index of its first pixel and the steps of +1 fs and +1 ss there. Empty for a stored frame.
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struct Block {
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size_t src = 0;
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int64_t width = 0, height = 0;
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int64_t dst = 0, step_fs = 1, step_ss = 0;
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};
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std::vector<Block> blocks_;
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// What one photon reads, the same on every panel; 1 where none is known.
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float adu_per_photon_ = 1.0f;
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bool counts_in_photons_ = false;
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double clen_m_ = 0, distance_mm_ = 0, photon_energy_eV_ = 0;
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// Masks stored with one plane per frame (a Cheetah CXI's per-shot mask), applied as each frame is read.
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std::vector<xfel::Mask> frame_masks_;
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// Marks in bad every stored pixel the mask m, read as v, leaves out (on its panel, where it has one); v holds
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// the n pixels of the frame from first on.
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template <class T>
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void MarkBad(const xfel::Mask &m, const T *v, size_t first, size_t n, std::vector<uint8_t> &bad) const;
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// Where every frame is stored as one chunk of a plain little-endian number type - deflated (and
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// optionally byte-shuffled), as Cheetah writes it, or bitshuffle/LZ4 (or zstd), as Jungfraujoch does -
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// only the chunk's place in the file is asked of HDF5 under its lock; the bytes are read and decoded
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// outside it, on every reading thread at once, the way the NXmx reader reads its images
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// (HDF5ImageSource: the chunk lookup, its RawFile, and CompressedImage's decoders).
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struct Layout {
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uint64_t height = 0, width = 0;
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bool direct_chunks = false, shuffled = false, deflated = false;
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CompressionAlgorithm algorithm = CompressionAlgorithm::NO_COMPRESSION; // where not deflated
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bool stored_float = false, stored_signed = false;
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size_t stored_size = 0;
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// A 2- or 4-byte little-endian integer or a 4-byte float, read as stored; any other type HDF5 reads
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// as float.
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bool plain_type = false;
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bool operator==(const Layout &) const = default;
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};
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Layout layout_;
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// For each of frame_masks_, how it is stored where it is read as the frames are (ReadStored): plain
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// unsigned integers of the frame's size, stored alike in every file; plain_type false where HDF5 reads it.
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std::vector<Layout> frame_mask_layouts_;
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// Positional-read handles on the files, opened as first needed (under hdf5_mutex), with the size of
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// each file's user block, which HDF5 chunk addresses count from. Like open_files_, only the most
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// recently used MAX_OPEN_FILES are held (raw_order_); a reader still using a released one keeps it.
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mutable std::vector<std::shared_ptr<const HDF5ImageSource::RawFile>> raw_files_;
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mutable std::vector<uint64_t> user_block_;
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mutable std::vector<size_t> raw_order_;
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static Layout ReadLayout(HDF5ReadOnlyFile &file, const Frame &frame);
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Layout FrameMaskLayout(const xfel::Mask &m) const; // under hdf5_mutex
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// The files, in the order given, every frame in them, and the run's mean of every value the geometry
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// takes from the files.
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void Open(const std::vector<std::string> &files);
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// Places the panels, given the gains, on the detector plane; builds the dataset.
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void Place();
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bool LoadImage_i(std::shared_ptr<JFJochReaderDataset> &dataset,
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DataMessage &message,
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std::vector<uint8_t> &buffer,
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int64_t image_number,
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bool update_dataset) override;
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// The frame's pixels, stored as layout says, as stored (plain_type), or as float, into stored; with
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// keep_compressed, a chunk decoded by CompressedImage (not deflated) is left as stored in the file, and
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// true returned. Given piece, the pixels are handed to piece(first pixel, their bytes, pixels) instead: a
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// deflated chunk a piece at a time, as it is inflated (InflateInPieces) or unshuffled, any other at once.
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template <class Buffer, class Piece = std::nullptr_t>
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bool ReadStored(const Frame &frame, const Layout &layout, Buffer &stored, bool keep_compressed,
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Piece piece = nullptr) const;
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// The deflated stream compressed, bytes long once inflated, to piece a piece of whole pixels of size bytes
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// at a time.
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template <class Piece>
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void InflateInPieces(const std::vector<uint8_t> &compressed, size_t bytes, size_t size, const Frame &frame,
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Piece piece) const;
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// The frame's stored pixels, as In, as the image handed out (as stored, or placed), as Out, each through
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// convert; a pixel masked marks is err.
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template <class Out, class In, class Buffer, class Convert>
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void PlaceInto(const Frame &frame, const std::vector<uint8_t> &masked, Out err, Buffer &buffer, Convert convert) const;
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template <class Buffer>
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CompressedImage DecodeInto(int64_t image_number, Buffer &buffer) const;
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public:
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JFJochXFELReader();
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~JFJochXFELReader() override;
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// gain, where given, is the detector units per photon of every panel, whatever the geometry says.
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// files are read in the order given, their frames one after another.
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void ReadFiles(const std::vector<std::string> &files, const std::string &geometry_file,
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std::optional<float> gain = std::nullopt);
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// Cheetah CXI files of a single-panel detector: one flat panel, placed by
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// what the file states, centred on the beam.
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static bool CanReadCXI(const std::string &path);
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// Why a Cheetah CXI file is not read without a geometry file (a tiled detector's slab), or nothing
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// if the path is not one.
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static std::optional<std::string> CXIRefusal(const std::string &path);
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void ReadCXI(const std::vector<std::string> &files, std::optional<float> gain = std::nullopt);
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// Cheetah HDF5 files with one group per shot and the panels' placement in /metadata (posx/posy in um, the
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// in-plane angle, pixel size, camera length) - as SACLA writes them - placed by that table.
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static bool CanReadPanelTable(const std::string &path);
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void ReadPanelTable(const std::vector<std::string> &files, std::optional<float> gain = std::nullopt);
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// Mask arrays in other files, in the frames' own layout (--mask-good / --mask-bad), applied with those
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// the data files state; set before reading.
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void ExtraMasks(const std::vector<xfel::Mask> &masks) { extra_masks_ = masks; }
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// Converts to photons with this gain from here on (detector units per photon, every panel).
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void ApplyGain(float adu_per_photon);
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// Back to detector units: undoes ApplyGain where nothing read states a gain.
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void ClearGain();
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// False where no gain is known, so the images are in detector units, not photons.
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[[nodiscard]] bool CountsInPhotons() const;
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// True where the frames are stored as floats, which are rounded to whole detector units as read.
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[[nodiscard]] bool StoredFloat() const;
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// False where nothing read states the photon energy (a geometry file over frames of no known layout):
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// the caller gives it.
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[[nodiscard]] bool HasPhotonEnergy() const;
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[[nodiscard]] uint64_t GetNumberOfImages() const override;
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void Close() override;
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bool ReadRawImage(int64_t image_number, JFJochReaderRawImage &image) override;
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[[nodiscard]] std::vector<SpotToSave> ReadSpots(int64_t image) const override;
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};
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