From eb31c2af9cc6368fda665857d98fba112cd1ba43 Mon Sep 17 00:00:00 2001
From: swittl <simon.wittl@th-deg.de>
Date: Thu, 20 Mar 2025 11:42:11 +0100
Subject: [PATCH] first push ...
---
.gitignore | 2 +
.python-version | 1 +
examples/header.h5 | Bin 0 -> 24928 bytes
examples/image.h5 | Bin 0 -> 1077864 bytes
examples/logo.png | Bin 0 -> 119746 bytes
examples/logo.svg | 220 ++++++++
examples/projection.h5 | Bin 0 -> 1474928 bytes
examples/projection_geometry.h5 | Bin 0 -> 186352 bytes
examples/source.h5 | Bin 0 -> 26824 bytes
pyproject.toml | 21 +
scripts/generate_example_projection.py | 40 ++
src/h5schemas/__init__.py | 2 +
src/h5schemas/detector/__init__.py | 0
src/h5schemas/detector/add_detector.py | 36 ++
src/h5schemas/h5_types/__init__.py | 0
src/h5schemas/h5_types/base_dataset.py | 29 ++
src/h5schemas/h5_types/image.py | 21 +
src/h5schemas/h5_types/integer.py | 23 +
src/h5schemas/h5_types/number.py | 23 +
src/h5schemas/h5_types/string.py | 22 +
src/h5schemas/header/__init__.py | 0
src/h5schemas/header/add_header.py | 57 ++
src/h5schemas/image/__init__.py | 0
src/h5schemas/image/add_image.py | 41 ++
src/h5schemas/initialize_dataset.py | 31 ++
src/h5schemas/projection/__init__.py | 0
src/h5schemas/projection/add_projection.py | 90 ++++
src/h5schemas/projection_geometry/__init__.py | 0
.../add_projection_geometry.py | 115 ++++
src/h5schemas/py.typed | 0
src/h5schemas/scan_schema.py | 79 +++
src/h5schemas/source/__init__.py | 0
src/h5schemas/source/add_source.py | 32 ++
uv.lock | 489 ++++++++++++++++++
34 files changed, 1374 insertions(+)
create mode 100644 .gitignore
create mode 100644 .python-version
create mode 100644 examples/header.h5
create mode 100644 examples/image.h5
create mode 100644 examples/logo.png
create mode 100644 examples/logo.svg
create mode 100644 examples/projection.h5
create mode 100644 examples/projection_geometry.h5
create mode 100644 examples/source.h5
create mode 100644 pyproject.toml
create mode 100644 scripts/generate_example_projection.py
create mode 100644 src/h5schemas/__init__.py
create mode 100644 src/h5schemas/detector/__init__.py
create mode 100644 src/h5schemas/detector/add_detector.py
create mode 100644 src/h5schemas/h5_types/__init__.py
create mode 100644 src/h5schemas/h5_types/base_dataset.py
create mode 100644 src/h5schemas/h5_types/image.py
create mode 100644 src/h5schemas/h5_types/integer.py
create mode 100644 src/h5schemas/h5_types/number.py
create mode 100644 src/h5schemas/h5_types/string.py
create mode 100644 src/h5schemas/header/__init__.py
create mode 100644 src/h5schemas/header/add_header.py
create mode 100644 src/h5schemas/image/__init__.py
create mode 100644 src/h5schemas/image/add_image.py
create mode 100644 src/h5schemas/initialize_dataset.py
create mode 100644 src/h5schemas/projection/__init__.py
create mode 100644 src/h5schemas/projection/add_projection.py
create mode 100644 src/h5schemas/projection_geometry/__init__.py
create mode 100644 src/h5schemas/projection_geometry/add_projection_geometry.py
create mode 100644 src/h5schemas/py.typed
create mode 100644 src/h5schemas/scan_schema.py
create mode 100644 src/h5schemas/source/__init__.py
create mode 100644 src/h5schemas/source/add_source.py
create mode 100644 uv.lock
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..c14b37e
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,2 @@
+/workspace/
+__pycache__
\ No newline at end of file
diff --git a/.python-version b/.python-version
new file mode 100644
index 0000000..c8cfe39
--- /dev/null
+++ b/.python-version
@@ -0,0 +1 @@
+3.10
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diff --git a/examples/source.h5 b/examples/source.h5
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diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..2d3db47
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,21 @@
+[project]
+name = "h5schemas"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+authors = [
+ { name = "swittl", email = "simon.wittl@th-deg.de" }
+]
+requires-python = ">=3.10"
+dependencies = [
+ "h5py>=3.13.0",
+ "jsonref>=1.1.0",
+ "thd-json>=0.1.11",
+]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.uv.sources]
+thd-json = { git = "https://mygit.th-deg.de/roboct/definitions/json_schemas" }
diff --git a/scripts/generate_example_projection.py b/scripts/generate_example_projection.py
new file mode 100644
index 0000000..c2a0f51
--- /dev/null
+++ b/scripts/generate_example_projection.py
@@ -0,0 +1,40 @@
+from h5py import File
+import numpy as np
+from h5schemas.projection.add_projection import (
+ init_projection_dataset,
+ add_projection_sample,
+)
+
+
+def main():
+ # Generate a file in write mode.
+ test_file = File("./examples/projection.h5", "w")
+
+ # Initialize the .H5 structure
+ init_projection_dataset(test_file, False, (128, 128), (0.139, 0.139))
+
+ # Add dummy projections
+ add_projection_sample(
+ test_file,
+ 1e5 * np.random.random((128, 128)),
+ [0.0, 1.0, 2.0],
+ [3.0, 4.0, 5.0, 6.0],
+ [7.0, 8.0, 9.0],
+ [10.0, 11.0, 12.0, 13],
+ )
+ add_projection_sample(
+ test_file,
+ 1e5 * np.random.random((128, 128)),
+ [0.0, 1.0, 2.0],
+ [3.0, 4.0, 5.0, 6.0],
+ [7.0, 8.0, 9.0],
+ [10.0, 11.0, 12.0, 13],
+ voltage_kv=100,
+ )
+
+ # Access data
+ print(test_file["/image/image_array"][...])
+
+
+if __name__ == "__main__":
+ main()
diff --git a/src/h5schemas/__init__.py b/src/h5schemas/__init__.py
new file mode 100644
index 0000000..b2f4b30
--- /dev/null
+++ b/src/h5schemas/__init__.py
@@ -0,0 +1,2 @@
+def hello() -> str:
+ return "Hello from h5schemas!"
diff --git a/src/h5schemas/detector/__init__.py b/src/h5schemas/detector/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/h5schemas/detector/add_detector.py b/src/h5schemas/detector/add_detector.py
new file mode 100644
index 0000000..9b5063e
--- /dev/null
+++ b/src/h5schemas/detector/add_detector.py
@@ -0,0 +1,36 @@
+from h5py import File, Group
+from thd_json import detector
+from h5schemas.scan_schema import open_schema
+from h5schemas.initialize_dataset import initialize_dataset
+
+
+def init_detector(
+ h5_file: File | Group,
+ detector_image_dimensions_px: tuple[int, int],
+ pixel_pitch_mm: tuple[float, float],
+):
+ # Get schemas and add them to the File | Group
+ schema_groups = get_detector_schemas()
+ initialize_dataset(h5_file, schema_groups)
+ add_detector_sample(h5_file, detector_image_dimensions_px, pixel_pitch_mm)
+
+
+def add_detector_sample(
+ h5_file: File | Group,
+ detector_image_dimensions_px: tuple[int, int],
+ pixel_pitch_mm: tuple[float, float],
+):
+ h5_file["image_dimensions_px/u"][...] = detector_image_dimensions_px[0]
+ h5_file["image_dimensions_px/v"][...] = detector_image_dimensions_px[1]
+
+ h5_file["pixel_pitch_mm/u"][...] = pixel_pitch_mm[0]
+ h5_file["pixel_pitch_mm/v"][...] = pixel_pitch_mm[1]
+
+
+def get_detector_schemas():
+ return open_schema(detector, "detector.json")
+
+
+if __name__ == "__main__":
+ test_file = File("./examples/detector.h5", "w")
+ init_detector(test_file)
diff --git a/src/h5schemas/h5_types/__init__.py b/src/h5schemas/h5_types/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/h5schemas/h5_types/base_dataset.py b/src/h5schemas/h5_types/base_dataset.py
new file mode 100644
index 0000000..0d65a39
--- /dev/null
+++ b/src/h5schemas/h5_types/base_dataset.py
@@ -0,0 +1,29 @@
+from h5schemas.scan_schema import GroupDefinition
+import h5py
+import numpy as np
+
+
+class BaseDataset:
+ dataset: h5py.Dataset
+ minimum: int | float | None = None
+ maximum: int | float | None = None
+ dtype: str | np.float64 | np.float32 | np.uint16 | None = None
+
+ def __init__(self, definition: GroupDefinition):
+ self.path = definition.path
+ self.dataset_name = definition.path.rsplit("/")[-1]
+ self.group = definition.path[: -len(self.dataset_name)]
+ self.description = definition.description
+
+ @classmethod
+ def with_file(cls, definition: GroupDefinition, h5_file: h5py.File):
+ instance = cls(definition)
+ instance.add_to_file(h5_file)
+ instance.add_description()
+ return instance
+
+ def add_to_file(self, h5_file: h5py.File):
+ raise NotImplementedError("--- Add file needed ---")
+
+ def add_description(self):
+ self.dataset.attrs["description"] = self.description
diff --git a/src/h5schemas/h5_types/image.py b/src/h5schemas/h5_types/image.py
new file mode 100644
index 0000000..8a844fc
--- /dev/null
+++ b/src/h5schemas/h5_types/image.py
@@ -0,0 +1,21 @@
+from h5schemas.scan_schema import GroupDefinition
+from h5schemas.h5_types.base_dataset import BaseDataset
+import h5py
+import numpy as np
+
+
+class ImageDataset(BaseDataset):
+ dtype = np.uint16
+
+ def __init__(self, definition: GroupDefinition):
+ super().__init__(definition)
+
+ def add_to_file(self, h5_file: h5py.File):
+ group = h5_file.require_group(self.group)
+ self.dataset = group.create_dataset(
+ name=self.dataset_name,
+ shape=(0, 0, 0),
+ dtype=self.dtype,
+ chunks=True,
+ maxshape=(None, 3072, 3072),
+ )
diff --git a/src/h5schemas/h5_types/integer.py b/src/h5schemas/h5_types/integer.py
new file mode 100644
index 0000000..f2aebfc
--- /dev/null
+++ b/src/h5schemas/h5_types/integer.py
@@ -0,0 +1,23 @@
+from h5schemas.scan_schema import GroupDefinition
+from h5schemas.h5_types.base_dataset import BaseDataset
+import h5py
+import numpy as np
+
+
+class IntegerDataset(BaseDataset):
+ dtype = np.int32
+
+ def __init__(self, definition: GroupDefinition):
+ super().__init__(definition)
+ self.minimum = definition.info.get("minimum", None)
+ self.minimum = definition.info.get("maximum", None)
+
+ def add_to_file(self, h5_file: h5py.File):
+ group = h5_file.require_group(self.group)
+ self.dataset = group.create_dataset(
+ name=self.dataset_name,
+ shape=(0,),
+ dtype=self.dtype,
+ chunks=True,
+ maxshape=(None,),
+ )
diff --git a/src/h5schemas/h5_types/number.py b/src/h5schemas/h5_types/number.py
new file mode 100644
index 0000000..d1e414b
--- /dev/null
+++ b/src/h5schemas/h5_types/number.py
@@ -0,0 +1,23 @@
+from h5schemas.scan_schema import GroupDefinition
+from h5schemas.h5_types.base_dataset import BaseDataset
+import h5py
+import numpy as np
+
+
+class NumberDataset(BaseDataset):
+ dtype = np.float64
+
+ def __init__(self, definition: GroupDefinition):
+ super().__init__(definition)
+ self.minimum = definition.info.get("minimum", None)
+ self.minimum = definition.info.get("maximum", None)
+
+ def add_to_file(self, h5_file: h5py.File):
+ group = h5_file.require_group(self.group)
+ self.dataset = group.create_dataset(
+ name=self.dataset_name,
+ shape=(0,),
+ dtype=self.dtype,
+ chunks=True,
+ maxshape=(None,),
+ )
diff --git a/src/h5schemas/h5_types/string.py b/src/h5schemas/h5_types/string.py
new file mode 100644
index 0000000..afe474f
--- /dev/null
+++ b/src/h5schemas/h5_types/string.py
@@ -0,0 +1,22 @@
+from h5schemas.scan_schema import GroupDefinition
+from h5schemas.h5_types.base_dataset import BaseDataset
+import h5py
+
+STRING_SIZE = 100
+
+
+class StringDataset(BaseDataset):
+ dtype = f"S{STRING_SIZE}"
+
+ def __init__(self, definition: GroupDefinition):
+ super().__init__(definition)
+
+ def add_to_file(self, h5_file: h5py.File):
+ group = h5_file.require_group(self.group)
+ self.dataset = group.create_dataset(
+ name=self.dataset_name,
+ shape=(0,),
+ dtype=self.dtype,
+ chunks=True,
+ maxshape=(None,),
+ )
diff --git a/src/h5schemas/header/__init__.py b/src/h5schemas/header/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/h5schemas/header/add_header.py b/src/h5schemas/header/add_header.py
new file mode 100644
index 0000000..d95bc9e
--- /dev/null
+++ b/src/h5schemas/header/add_header.py
@@ -0,0 +1,57 @@
+from h5py import File, Group
+from thd_json import header
+from h5schemas.scan_schema import open_schema
+from h5schemas.initialize_dataset import initialize_dataset
+from datetime import datetime
+
+
+def init_header(
+ h5_file: File | Group,
+):
+ schema_groups = get_header_schemas()
+ initialize_dataset(h5_file, schema_groups)
+
+
+def get_header_schemas():
+ return open_schema(header, "header.json")
+
+
+def check_uuid_time_stamp(uuid: str | None = None, timestamp: int | None = None):
+ if uuid is None:
+ json_header = header.generate_header()
+ uuid = json_header.uuid
+
+ if timestamp is None:
+ timestamp = datetime.fromisoformat(json_header.timestamp).timestamp()
+
+ return uuid, timestamp
+
+
+def add_header_sample(
+ h5_file: File | Group, uuid: str | None, timestamp: float | None = None
+):
+ uuid, timestamp = check_uuid_time_stamp(uuid, timestamp)
+
+ dst = h5_file["uuid"]
+ dst.resize((dst.shape[0] + 1,))
+ dst[-1,] = uuid
+
+ dst = h5_file["timestamp"]
+ dst.resize((dst.shape[0] + 1,))
+ dst[-1,] = timestamp
+
+
+def uuid_time_from_json_header(json_header_obj: header.JsonHeader) -> tuple[str, float]:
+ return json_header_obj.uuid, datetime.fromisoformat(
+ json_header_obj.timestamp
+ ).timestamp()
+
+
+if __name__ == "__main__":
+ test_file = File("./examples/header.h5", "w")
+ init_header(test_file)
+
+ add_header_sample(test_file, None)
+ add_header_sample(test_file, None)
+ add_header_sample(test_file, None)
+ add_header_sample(test_file, *uuid_time_from_json_header(header.generate_header()))
diff --git a/src/h5schemas/image/__init__.py b/src/h5schemas/image/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/h5schemas/image/add_image.py b/src/h5schemas/image/add_image.py
new file mode 100644
index 0000000..6f52c5c
--- /dev/null
+++ b/src/h5schemas/image/add_image.py
@@ -0,0 +1,41 @@
+from h5py import File, Group
+from thd_json import image
+from h5schemas.scan_schema import open_schema
+from h5schemas.initialize_dataset import initialize_dataset
+
+from h5schemas.header.add_header import add_header_sample
+
+import numpy as np
+from pathlib import Path
+
+
+def init_image_dataset(h5_file: File | Group, image_as_path: bool):
+ schema_groups = open_schema(image, "image.json", image_as_path=image_as_path)
+ initialize_dataset(h5_file, schema_groups)
+
+
+def add_image_sample(
+ h5_file: File | Group,
+ image: Path | np.ndarray,
+ uuid: str | None = None,
+ timestamp: int | None = None,
+):
+ if isinstance(image, Path):
+ dst = h5_file["image_path"]
+ dst.resize((dst.shape[0] + 1,))
+ dst[-1,] = str(image)
+ else:
+ dst = h5_file["image_array"]
+ dst.resize((dst.shape[0] + 1, image.shape[0], image.shape[1]))
+ dst[-1] = image
+
+ add_header_sample(h5_file["header"], uuid, timestamp)
+
+
+if __name__ == "__main__":
+ test_file = File("./examples/image.h5", "w")
+ init_image_dataset(test_file, False)
+
+ add_image_sample(test_file, 1e5 * np.random.random((128, 128)))
+ add_image_sample(test_file, 1e5 * np.random.random((128, 128)))
+ print(test_file["/image_array"][...])
diff --git a/src/h5schemas/initialize_dataset.py b/src/h5schemas/initialize_dataset.py
new file mode 100644
index 0000000..4e3dbd3
--- /dev/null
+++ b/src/h5schemas/initialize_dataset.py
@@ -0,0 +1,31 @@
+import h5py
+from h5schemas.scan_schema import GroupDefinition
+from h5schemas.h5_types.number import NumberDataset
+from h5schemas.h5_types.integer import IntegerDataset
+from h5schemas.h5_types.string import StringDataset
+from h5schemas.h5_types.image import ImageDataset
+
+
+NONE = "null"
+
+
+def initialize_dataset(main_file: h5py.File, datasets: list[GroupDefinition]):
+ for dataset in datasets:
+ if dataset.type == "number":
+ dst = NumberDataset.with_file(dataset, main_file)
+ elif dataset.type == "integer":
+ dst = IntegerDataset.with_file(dataset, main_file)
+ elif dataset.type == "string":
+ dst = StringDataset.with_file(dataset, main_file)
+ elif dataset.type == "image":
+ dst = ImageDataset.with_file(dataset, main_file)
+
+ dst.dataset.attrs["required"] = dataset.required
+
+ if isinstance(dst, (IntegerDataset, NumberDataset)):
+ dst.dataset.attrs["minimum"] = (
+ dst.minimum if dst.minimum is not None else NONE
+ )
+ dst.dataset.attrs["maximum"] = (
+ dst.maximum if dst.minimum is not None else NONE
+ )
diff --git a/src/h5schemas/projection/__init__.py b/src/h5schemas/projection/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/h5schemas/projection/add_projection.py b/src/h5schemas/projection/add_projection.py
new file mode 100644
index 0000000..1afd74c
--- /dev/null
+++ b/src/h5schemas/projection/add_projection.py
@@ -0,0 +1,90 @@
+from h5py import File
+from thd_json import projection
+from h5schemas.scan_schema import open_schema
+from h5schemas.initialize_dataset import initialize_dataset
+
+from h5schemas.detector.add_detector import add_detector_sample
+from h5schemas.image.add_image import add_image_sample
+from h5schemas.projection_geometry.add_projection_geometry import (
+ add_projection_geometry_sample,
+)
+from h5schemas.header.add_header import check_uuid_time_stamp
+from h5schemas.source.add_source import add_source_sample
+
+import numpy as np
+from pathlib import Path
+
+
+def init_projection_dataset(
+ h5_file: File,
+ image_as_path: bool,
+ detector_image_dimensions_px: tuple[int, int],
+ pixel_pitch_mm: tuple[float, float],
+):
+ schema_groups = open_schema(
+ projection, "projection.json", image_as_path=image_as_path
+ )
+
+ initialize_dataset(h5_file, schema_groups)
+ add_detector_sample(
+ h5_file["/detector"], detector_image_dimensions_px, pixel_pitch_mm
+ )
+
+
+def add_projection_sample(
+ h5_file: File,
+ image: Path | np.ndarray,
+ detector_center_position_mm: tuple[float, float, float],
+ detector_center_orientation_quat: tuple[float, float, float, float],
+ focal_spot_position_mm: tuple[float, float, float],
+ focal_spot_orientation_quat: tuple[float, float, float, float] | None = None,
+ current_ma: float = 0,
+ voltage_kv: float = 0,
+ uuid: str | None = None,
+ timestamp: int | None = None,
+):
+ uuid, timestamp = check_uuid_time_stamp(uuid, timestamp)
+ add_image_sample(h5_file["/image"], image, uuid, timestamp)
+ add_projection_geometry_sample(
+ h5_file["/projection_geometry"],
+ detector_center_position_mm,
+ detector_center_orientation_quat,
+ focal_spot_position_mm,
+ focal_spot_orientation_quat,
+ uuid,
+ timestamp,
+ )
+ add_projection_geometry_sample(
+ h5_file["/projection_geometry_nominal"],
+ detector_center_position_mm,
+ detector_center_orientation_quat,
+ focal_spot_position_mm,
+ focal_spot_orientation_quat,
+ uuid,
+ timestamp,
+ )
+ add_source_sample(h5_file["/source"], current_ma, voltage_kv)
+
+
+if __name__ == "__main__":
+ test_file = File("./examples/projection.h5", "w")
+ init_projection_dataset(test_file, False, (128, 128), (0.139, 0.139))
+
+ add_projection_sample(
+ test_file,
+ 1e5 * np.random.random((128, 128)),
+ [0.0, 1.0, 2.0],
+ [3.0, 4.0, 5.0, 6.0],
+ [7.0, 8.0, 9.0],
+ [10.0, 11.0, 12.0, 13],
+ )
+ add_projection_sample(
+ test_file,
+ 1e5 * np.random.random((128, 128)),
+ [0.0, 1.0, 2.0],
+ [3.0, 4.0, 5.0, 6.0],
+ [7.0, 8.0, 9.0],
+ [10.0, 11.0, 12.0, 13],
+ voltage_kv=100,
+ )
+ print(test_file["/image/image_array"][...])
diff --git a/src/h5schemas/projection_geometry/__init__.py b/src/h5schemas/projection_geometry/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/h5schemas/projection_geometry/add_projection_geometry.py b/src/h5schemas/projection_geometry/add_projection_geometry.py
new file mode 100644
index 0000000..45a608c
--- /dev/null
+++ b/src/h5schemas/projection_geometry/add_projection_geometry.py
@@ -0,0 +1,115 @@
+from h5py import File, Group
+from thd_json import projection_geometry
+from h5schemas.scan_schema import open_schema
+from h5schemas.initialize_dataset import initialize_dataset
+from h5schemas.header.add_header import add_header_sample
+
+
+def init_projection_geometry(
+ h5_file: File | Group,
+):
+ schema_groups = get_projection_geometry_schemas()
+ initialize_dataset(h5_file, schema_groups)
+
+
+def get_projection_geometry_schemas():
+ return open_schema(projection_geometry, "projection_geometry.json")
+
+
+def map_update(values):
+ dst, value = values
+ dst.resize((dst.shape[0] + 1,))
+ dst[-1] = value
+
+
+def add_projection_geometry_sample(
+ h5_file: File | Group,
+ detector_center_position_mm: tuple[float, float, float],
+ detector_center_orientation_quat: tuple[float, float, float, float],
+ focal_spot_position_mm: tuple[float, float, float],
+ focal_spot_orientation_quat: tuple[float, float, float, float] | None = None,
+ uuid: str | None = None,
+ timestamp: float | None = None,
+):
+ update_values = list()
+
+ update_values.append(
+ [h5_file["detector_center_position_mm/x"], detector_center_position_mm[0]]
+ )
+ update_values.append(
+ [h5_file["detector_center_position_mm/y"], detector_center_position_mm[1]]
+ )
+ update_values.append(
+ [h5_file["detector_center_position_mm/z"], detector_center_position_mm[2]]
+ )
+
+ update_values.append(
+ [
+ h5_file["detector_center_orientation_quat/x"],
+ detector_center_orientation_quat[0],
+ ]
+ )
+ update_values.append(
+ [
+ h5_file["detector_center_orientation_quat/y"],
+ detector_center_orientation_quat[1],
+ ]
+ )
+ update_values.append(
+ [
+ h5_file["detector_center_orientation_quat/z"],
+ detector_center_orientation_quat[2],
+ ]
+ )
+ update_values.append(
+ [
+ h5_file["detector_center_orientation_quat/w"],
+ detector_center_orientation_quat[3],
+ ]
+ )
+
+ update_values.append(
+ [h5_file["focal_spot_position_mm/x"], focal_spot_position_mm[0]]
+ )
+ update_values.append(
+ [h5_file["focal_spot_position_mm/y"], focal_spot_position_mm[1]]
+ )
+ update_values.append(
+ [h5_file["focal_spot_position_mm/z"], focal_spot_position_mm[2]]
+ )
+
+ if focal_spot_orientation_quat is None:
+ focal_spot_orientation_quat = (0.0, 0.0, 0.0, 1.0)
+
+ update_values.append(
+ [h5_file["focal_spot_orientation_quat/x"], focal_spot_orientation_quat[0]]
+ )
+ update_values.append(
+ [h5_file["focal_spot_orientation_quat/y"], focal_spot_orientation_quat[1]]
+ )
+ update_values.append(
+ [h5_file["focal_spot_orientation_quat/z"], focal_spot_orientation_quat[2]]
+ )
+ update_values.append(
+ [h5_file["focal_spot_orientation_quat/w"], focal_spot_orientation_quat[3]]
+ )
+
+ for value in update_values:
+ map_update(value)
+
+ add_header_sample(h5_file["header"], uuid, timestamp)
+
+
+if __name__ == "__main__":
+ test_file = File("./examples/projection_geometry.h5", "w")
+ init_projection_geometry(test_file)
+ add_projection_geometry_sample(
+ test_file,
+ [0.0, 1.0, 2.0],
+ [3.0, 4.0, 5.0, 6.0],
+ [7.0, 8.0, 9.0],
+ [10.0, 11.0, 12.0, 13],
+ )
+ add_projection_geometry_sample(
+ test_file, [0.0, 1.0, 2.0], [3.0, 4.0, 5.0, 6.0], [7.0, 8.0, 9.0]
+ )
diff --git a/src/h5schemas/py.typed b/src/h5schemas/py.typed
new file mode 100644
index 0000000..e69de29
diff --git a/src/h5schemas/scan_schema.py b/src/h5schemas/scan_schema.py
new file mode 100644
index 0000000..53ab952
--- /dev/null
+++ b/src/h5schemas/scan_schema.py
@@ -0,0 +1,79 @@
+from dataclasses import dataclass
+from pathlib import Path
+import jsonref
+
+
+@dataclass
+class GroupDefinition:
+ path: str
+ type: str
+ description: str
+ required: bool
+ info: dict
+
+ def __str__(self) -> str:
+ return f"{self.path}\n- Type: {self.type}\n- Description: {self.description}\n- Required: {self.required}"
+
+
+def open_schema(
+ module: callable,
+ path: str,
+ image_as_path: bool = False,
+):
+ json_schema = Path(module.__file__).parent / path
+ base_uri = json_schema.parent.absolute().as_uri() + "/"
+
+ with open(str(json_schema)) as schema_file:
+ schema = jsonref.load(schema_file, base_uri=base_uri)
+
+ schema_groups = list()
+ required_groups = list()
+ get_schema_groups(
+ schema_groups, schema, required_groups, image_as_path=image_as_path
+ )
+ return schema_groups
+
+
+def get_schema_groups(
+ schema_groups: list,
+ schema_dict: dict,
+ required_groups: list,
+ base_path: str = "",
+ depth: int = 0,
+ image_as_path: bool = False,
+) -> list[GroupDefinition]:
+ for required_path in schema_dict["required"]:
+ required_groups.append(f"{base_path}/{required_path}")
+
+ for schema_name in schema_dict["properties"]:
+ schema_object = schema_dict["properties"][schema_name]
+ schema_type = schema_object["type"]
+ path = f"{base_path}/{schema_name}"
+ if schema_type == "object":
+ for required_path in schema_object["required"]:
+ required_groups.append(f"{path}/{required_path}")
+ get_schema_groups(
+ schema_groups,
+ schema_object,
+ required_groups,
+ path,
+ depth + 1,
+ image_as_path,
+ )
+ else:
+ if schema_name == "image_path" and not image_as_path:
+ schema_type = "image"
+ schema_name = "image_array"
+ path = f"{base_path}/{schema_name}"
+ if schema_name == "timestamp":
+ schema_type = "number"
+ if path in required_groups:
+ required = True
+ else:
+ required = False
+ print(f"{' ' * depth}- {schema_name} {path} {schema_type} {required}")
+
+ group_definition = GroupDefinition(
+ path, schema_type, schema_object["description"], required, schema_object
+ )
+ schema_groups.append(group_definition)
diff --git a/src/h5schemas/source/__init__.py b/src/h5schemas/source/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/h5schemas/source/add_source.py b/src/h5schemas/source/add_source.py
new file mode 100644
index 0000000..c27ab3a
--- /dev/null
+++ b/src/h5schemas/source/add_source.py
@@ -0,0 +1,32 @@
+from h5py import File, Group
+from thd_json import source
+from h5schemas.scan_schema import open_schema
+from h5schemas.initialize_dataset import initialize_dataset
+
+
+def init_source(h5_file: File | Group):
+ schema_groups = get_source_schemas()
+ initialize_dataset(h5_file, schema_groups)
+
+
+def get_source_schemas():
+ return open_schema(source, "source.json")
+
+
+def add_source_sample(h5_file: File | Group, current_ma: float, voltage_kv: float):
+ dst = h5_file["current_ma"]
+ dst.resize((dst.shape[0] + 1,))
+ dst[-1,] = current_ma
+
+ dst = h5_file["voltage_kv"]
+ dst.resize((dst.shape[0] + 1,))
+ dst[-1,] = voltage_kv
+
+
+if __name__ == "__main__":
+ test_file = File("./examples/source.h5", "w")
+ init_source(test_file)
+
+ add_source_sample(test_file, 1.0, 6.0)
+ add_source_sample(test_file, 2.0, 7.0)
+ add_source_sample(test_file, 3.0, 8.0)
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000..d5b322e
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,489 @@
+version = 1
+requires-python = ">=3.10"
+
+[[package]]
+name = "attrs"
+version = "25.3.0"
+source = { registry = "https://pypi.org/simple" }
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+[[package]]
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+[[package]]
+name = "h5py"
+version = "3.13.0"
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+dependencies = [
+ { name = "numpy" },
+]
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GitLab