Source code for ewoksfluo.tasks.nexus

import json
import logging
import contextlib
from datetime import datetime
from typing import Any, Dict, Optional, Sequence, Union, Tuple, Generator

import numpy
import h5py
from silx.io.url import DataUrl
from ewoksdata.data import nexus

from ewoksfluo import __version__ as version


logger = logging.getLogger(__name__)


[docs] def split_h5uri(url: str) -> Tuple[str, str]: obj = DataUrl(url) return obj.file_path(), obj.data_path() or ""
[docs] def create_data( parent: Union[h5py.File, h5py.Group], name: str, signal: Optional[str] = None, ) -> h5py.Group: nxdata = parent.create_group(name) nxdata.attrs["NX_class"] = "NXdata" if signal: nxdata.attrs["signal"] = signal nexus.select_default_plot(nxdata) return nxdata
[docs] def set_data_signals(nxdata: h5py.Group, signals: Sequence[str]): nxdata.attrs["signal"] = signals[0] if len(signals) > 1: nxdata.attrs["auxiliary_signals"] = signals[1:]
[docs] def now() -> str: """NeXus-compliant format of the current time""" return datetime.now().astimezone().isoformat()
[docs] @contextlib.contextmanager def save_in_ewoks_process( output_uri: str, start_time: str, process_config: Dict[str, Any], default_levels=("results", "process"), **kw ) -> Generator[h5py.Group, None, None]: with nexus.create_nexus_group(output_uri, default_levels=default_levels, **kw) as ( process_group, _, ): entry_name = process_group.name.split("/")[1] entry_group = process_group.file[entry_name] if "start_time" not in entry_group: entry_group["start_time"] = start_time try: process_group["program"] = "ewoksfluo" process_group["version"] = version config_group = process_group.create_group("configuration") config_group.attrs["NX_class"] = "NXnote" config_group.create_dataset( "data", data=json.dumps(process_config, cls=NumpyEncoder) ) config_group.create_dataset("date", data=now()) config_group.create_dataset("type", data="json") yield process_group finally: if "end_time" in entry_group: entry_group["end_time"][()] = now() else: entry_group["end_time"] = now()
[docs] @contextlib.contextmanager def save_in_ewoks_subprocess( output_uri: str, start_time: str, process_config: Dict[str, Any], collection_name: str = "results", **kw ): with save_in_ewoks_process(output_uri, start_time, process_config, **kw) as process: results = process.create_group(collection_name) results.attrs["NX_class"] = "NXcollection" yield results
[docs] class NumpyEncoder(json.JSONEncoder):
[docs] def default(self, obj): if isinstance(obj, (numpy.generic, numpy.ndarray)): return obj.tolist() return super().default(obj)