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spec_data.py
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spec_data.py
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"""Read the SPEC data file format."""
import datetime
import numpy
from spec2nexus import spec
from tiled.adapters.array import ArrayAdapter
from tiled.adapters.mapping import MapAdapter
from tiled.structures.core import Spec as TiledSpec
EXTENSIONS = [] # no uniform standard exists, many common patterns
MIMETYPE = "text/x-spec_data"
SPEC_FILE_SPECIFICATION = TiledSpec("SPEC_file", version="1.0")
SPEC_SCAN_SPECIFICATION = TiledSpec("SPEC_scan", version="1.0")
def read_diffractometer_metadata(diffractometer):
simple_attrs = """
UB
geometry_name
geometry_name_full
mode
sector
variant
wavelength
""".split()
# fmt: off
md = {
k: getattr(diffractometer, k)
for k in simple_attrs
if hasattr(diffractometer, k)
}
# special cases
def has(parent, attr):
return hasattr(parent, attr) and len(getattr(parent, attr)) > 0
if has(diffractometer, "reflections"):
md["reflections"] = {
f"R{r}": refl._asdict()
for r, refl in enumerate(diffractometer.reflections)
}
if has(diffractometer, "geometry_parameters"):
md["geometry_parameters"] = {
k: dict(
key=v.key,
description=v.description,
value=v.value,
)
for k, v in diffractometer.geometry_parameters.items()
}
if has(diffractometer, "lattice"):
md["lattice"] = diffractometer.lattice._asdict()
# fmt: on
return md
def read_spec_scan(scan):
try:
arrays = {
k: ArrayAdapter.from_array(numpy.array(v))
# TODO: xref name as metadata?
for k, v in scan.data.items()
}
# fmt: off
attrs = """
G L M S
column_first column_last
date epoch metadata positioner
scanCmd scanNum time_name
""".split()
md = {
k: getattr(scan, k)
for k in attrs
if hasattr(scan, k)
}
if hasattr(scan, "diffractometer"):
md.update(read_diffractometer_metadata(scan.diffractometer))
# fmt: on
except ValueError as exc:
arrays = {}
md = dict(ValueError=exc, disposition="skipping")
return MapAdapter(arrays, metadata=md, specs=[SPEC_SCAN_SPECIFICATION])
def read_spec_data(filename, **kwargs):
# kwargs has metadata known to the tiled database
if not spec.is_spec_file_with_header(filename):
raise spec.NotASpecDataFile(str(filename))
sdf = spec.SpecDataFile(str(filename))
md = dict(
fileName=str(sdf.fileName),
specFile=str(sdf.specFile),
)
# header metadata (sdf.headers is a list)
if hasattr(sdf, "headers") and len(sdf.headers) > 0:
md["headers"] = {}
for h, header in enumerate(sdf.headers, start=1):
h_md = md["headers"][f"H{h}"] = {}
for key in "date epoch counter_xref positioner_xref".split():
if hasattr(header, key):
h_md[key] = getattr(header, key)
if hasattr(header, "file"):
h_md["file"] = str(header.file)
if hasattr(header, "epoch"):
h_md["iso8601"] = f"{datetime.datetime.fromtimestamp(header.epoch)}"
if hasattr(header, "comments") and len(header.comments) > 0:
h_md["comments"] = {
f"C{c}": comment
for c, comment in enumerate(header.comments, start=1)
}
# fmt: off
return MapAdapter(
{
f"S{scan_number}": read_spec_scan(scan)
for scan_number, scan in sdf.scans.items()
},
metadata=md,
specs=[SPEC_FILE_SPECIFICATION]
)
# fmt: on
def developer():
import pathlib
# spec2nexus_data_path = (
# pathlib.Path().home()
# / "Documents"
# / "projects"
# / "prjemian"
# / "spec2nexus"
# / "src"
# / "spec2nexus"
# / "data"
# )
test_data_path = pathlib.Path(__file__).parent / "data"
# sixc_data_path = test_data_path / "diffractometer" / "sixc"
usaxs_data_path = test_data_path / "usaxs" / "2019"
path = usaxs_data_path
for filename in sorted(path.iterdir()):
print(f"{filename.name=}")
try:
structure = read_spec_data(filename)
print(f"{structure}")
except spec.NotASpecDataFile:
pass
if __name__ == "__main__":
developer()