Making RawSubFile usable from Python (#158)
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- Removed a printout left from debugging
- return also header when reading
- added read_n 
- check for error in ifstream
This commit is contained in:
Erik Fröjdh
2025-04-11 16:54:21 +02:00
committed by GitHub
parent 6e4db45b57
commit a59e9656be
9 changed files with 217 additions and 35 deletions

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@ -20,6 +20,9 @@
namespace py = pybind11;
using namespace ::aare;
//Disable warnings for unused parameters, as we ignore some
//in the __exit__ method
#pragma GCC diagnostic push
@ -214,36 +217,9 @@ void define_file_io_bindings(py::module &m) {
py::class_<RawSubFile>(m, "RawSubFile")
.def(py::init<const std::filesystem::path &, DetectorType, size_t,
size_t, size_t>())
.def_property_readonly("bytes_per_frame", &RawSubFile::bytes_per_frame)
.def_property_readonly("pixels_per_frame",
&RawSubFile::pixels_per_frame)
.def("seek", &RawSubFile::seek)
.def("tell", &RawSubFile::tell)
.def_property_readonly("rows", &RawSubFile::rows)
.def_property_readonly("cols", &RawSubFile::cols)
.def("read_frame",
[](RawSubFile &self) {
const uint8_t item_size = self.bytes_per_pixel();
py::array image;
std::vector<ssize_t> shape;
shape.reserve(2);
shape.push_back(self.rows());
shape.push_back(self.cols());
if (item_size == 1) {
image = py::array_t<uint8_t>(shape);
} else if (item_size == 2) {
image = py::array_t<uint16_t>(shape);
} else if (item_size == 4) {
image = py::array_t<uint32_t>(shape);
}
fmt::print("item_size: {} rows: {} cols: {}\n", item_size, self.rows(), self.cols());
self.read_into(
reinterpret_cast<std::byte *>(image.mutable_data()));
return image;
});
#pragma GCC diagnostic pop
// py::class_<ClusterHeader>(m, "ClusterHeader")

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@ -10,6 +10,7 @@
#include "cluster_file.hpp"
#include "fit.hpp"
#include "interpolation.hpp"
#include "raw_sub_file.hpp"
#include "jungfrau_data_file.hpp"
@ -22,6 +23,7 @@ namespace py = pybind11;
PYBIND11_MODULE(_aare, m) {
define_file_io_bindings(m);
define_raw_file_io_bindings(m);
define_raw_sub_file_io_bindings(m);
define_ctb_raw_file_io_bindings(m);
define_raw_master_file_bindings(m);
define_var_cluster_finder_bindings(m);

110
python/src/raw_sub_file.hpp Normal file
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@ -0,0 +1,110 @@
#include "aare/CtbRawFile.hpp"
#include "aare/File.hpp"
#include "aare/Frame.hpp"
#include "aare/RawFile.hpp"
#include "aare/RawMasterFile.hpp"
#include "aare/RawSubFile.hpp"
#include "aare/defs.hpp"
// #include "aare/fClusterFileV2.hpp"
#include <cstdint>
#include <filesystem>
#include <pybind11/iostream.h>
#include <pybind11/numpy.h>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <pybind11/stl/filesystem.h>
#include <string>
namespace py = pybind11;
using namespace ::aare;
auto read_frame_from_RawSubFile(RawSubFile &self) {
py::array_t<DetectorHeader> header(1);
const uint8_t item_size = self.bytes_per_pixel();
std::vector<ssize_t> shape{static_cast<ssize_t>(self.rows()),
static_cast<ssize_t>(self.cols())};
py::array image;
if (item_size == 1) {
image = py::array_t<uint8_t>(shape);
} else if (item_size == 2) {
image = py::array_t<uint16_t>(shape);
} else if (item_size == 4) {
image = py::array_t<uint32_t>(shape);
}
self.read_into(reinterpret_cast<std::byte *>(image.mutable_data()),
header.mutable_data());
return py::make_tuple(header, image);
}
auto read_n_frames_from_RawSubFile(RawSubFile &self, size_t n_frames) {
py::array_t<DetectorHeader> header(n_frames);
const uint8_t item_size = self.bytes_per_pixel();
std::vector<ssize_t> shape{
static_cast<ssize_t>(n_frames),
static_cast<ssize_t>(self.rows()),
static_cast<ssize_t>(self.cols())
};
py::array image;
if (item_size == 1) {
image = py::array_t<uint8_t>(shape);
} else if (item_size == 2) {
image = py::array_t<uint16_t>(shape);
} else if (item_size == 4) {
image = py::array_t<uint32_t>(shape);
}
self.read_into(reinterpret_cast<std::byte *>(image.mutable_data()), n_frames,
header.mutable_data());
return py::make_tuple(header, image);
}
//Disable warnings for unused parameters, as we ignore some
//in the __exit__ method
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
void define_raw_sub_file_io_bindings(py::module &m) {
py::class_<RawSubFile>(m, "RawSubFile")
.def(py::init<const std::filesystem::path &, DetectorType, size_t,
size_t, size_t>())
.def_property_readonly("bytes_per_frame", &RawSubFile::bytes_per_frame)
.def_property_readonly("pixels_per_frame",
&RawSubFile::pixels_per_frame)
.def_property_readonly("bytes_per_pixel", &RawSubFile::bytes_per_pixel)
.def("seek", &RawSubFile::seek)
.def("tell", &RawSubFile::tell)
.def_property_readonly("rows", &RawSubFile::rows)
.def_property_readonly("cols", &RawSubFile::cols)
.def_property_readonly("frames_in_file", &RawSubFile::frames_in_file)
.def("read_frame", &read_frame_from_RawSubFile)
.def("read_n", &read_n_frames_from_RawSubFile)
.def("read", [](RawSubFile &self){
self.seek(0);
auto n_frames = self.frames_in_file();
return read_n_frames_from_RawSubFile(self, n_frames);
})
.def("__enter__", [](RawSubFile &self) { return &self; })
.def("__exit__",
[](RawSubFile &self,
const std::optional<pybind11::type> &exc_type,
const std::optional<pybind11::object> &exc_value,
const std::optional<pybind11::object> &traceback) {
})
.def("__iter__", [](RawSubFile &self) { return &self; })
.def("__next__", [](RawSubFile &self) {
try {
return read_frame_from_RawSubFile(self);
} catch (std::runtime_error &e) {
throw py::stop_iteration();
}
});
}
#pragma GCC diagnostic pop

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@ -0,0 +1,36 @@
import pytest
import numpy as np
from aare import RawSubFile, DetectorType
@pytest.mark.files
def test_read_a_jungfrau_RawSubFile(test_data_path):
with RawSubFile(test_data_path / "raw/jungfrau/jungfrau_single_d0_f1_0.raw", DetectorType.Jungfrau, 512, 1024, 16) as f:
assert f.frames_in_file == 3
headers, frames = f.read()
assert headers.size == 3
assert frames.shape == (3, 512, 1024)
# Frame numbers in this file should be 4, 5, 6
for i,h in zip(range(4,7,1), headers):
assert h["frameNumber"] == i
# Compare to canned data using numpy
data = np.load(test_data_path / "raw/jungfrau/jungfrau_single_0.npy")
assert np.all(data[3:6] == frames)
@pytest.mark.files
def test_iterate_over_a_jungfrau_RawSubFile(test_data_path):
data = np.load(test_data_path / "raw/jungfrau/jungfrau_single_0.npy")
with RawSubFile(test_data_path / "raw/jungfrau/jungfrau_single_d0_f0_0.raw", DetectorType.Jungfrau, 512, 1024, 16) as f:
i = 0
for header, frame in f:
assert header["frameNumber"] == i+1
assert np.all(frame == data[i])
i += 1
assert i == 3
assert header["frameNumber"] == 3