read_curated_calibs.py

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from lsst.meas.algorithms.simple_curve import Curve
from lsst.ip.isr import (Linearizer, CrosstalkCalib, Defects, BrighterFatterKernel)
 
import os
import glob
import dateutil.parser
 
 
def read_one_chip(root, chip_name, chip_id):
    """Read data for a particular sensor from the standard format at a particular root.
 
    Parameters
    ----------
    root : `str`
        Path to the top level of the data tree.  This is expected to hold directories
        named after the sensor names.  They are expected to be lower case.
    chip_name : `str`
        The name of the sensor for which to read data.
    chip_id : `int`
        The identifier for the sensor in question.
 
    Returns
    -------
    `dict`
        A dictionary of objects constructed from the appropriate factory class.
        The key is the validity start time as a `datetime` object.
    """
    factory_map = {'qe_curve': Curve, 'defects': Defects, 'linearizer': Linearizer,
                   'crosstalk': CrosstalkCalib, 'bfk': BrighterFatterKernel}
    files = []
    extensions = (".ecsv", ".yaml")
    for ext in extensions:
        files.extend(glob.glob(os.path.join(root, chip_name, f"*{ext}")))
    parts = os.path.split(root)
    instrument = os.path.split(parts[0])[1]  # convention is that these reside at <instrument>/<data_name>
    data_name = parts[1]
    if data_name not in factory_map:
        raise ValueError(f"Unknown calibration data type, '{data_name}' found. "
                         f"Only understand {','.join(k for k in factory_map)}")
    factory = factory_map[data_name]
    data_dict = {}
    for f in files:
        date_str = os.path.splitext(os.path.basename(f))[0]
        valid_start = dateutil.parser.parse(date_str)
        data_dict[valid_start] = factory.readText(f)
        check_metadata(data_dict[valid_start], valid_start, instrument, chip_id, f, data_name)
    return data_dict, data_name
 
 
def check_metadata(obj, valid_start, instrument, chip_id, filepath, data_name):
    """Check that the metadata is complete and self consistent
 
    Parameters
    ----------
    obj : object of same type as the factory
        Object to retrieve metadata from in order to compare with
        metadata inferred from the path.
    valid_start : `datetime`
        Start of the validity range for data
    instrument : `str`
        Name of the instrument in question
    chip_id : `int`
        Identifier of the sensor in question
    filepath : `str`
        Path of the file read to construct the data
    data_name : `str`
        Name of the type of data being read
 
    Returns
    -------
    None
 
    Raises
    ------
    ValueError
        If the metadata from the path and the metadata encoded
        in the path do not match for any reason.
    """
    md = obj.getMetadata()
    finst = md['INSTRUME']
    fchip_id = md['DETECTOR']
    fdata_name = md['OBSTYPE']
    if not ((finst.lower(), int(fchip_id), fdata_name.lower())
            == (instrument.lower(), chip_id, data_name.lower())):
        raise ValueError(f"Path and file metadata do not agree:\n"
                         f"Path metadata: {instrument} {chip_id} {data_name}\n"
                         f"File metadata: {finst} {fchip_id} {fdata_name}\n"
                         f"File read from : %s\n"%(filepath)
                         )
 
 
def read_all(root, camera):
    """Read all data from the standard format at a particular root.
 
    Parameters
    ----------
    root : `str`
        Path to the top level of the data tree.  This is expected to hold directories
        named after the sensor names.  They are expected to be lower case.
    camera : `lsst.afw.cameraGeom.Camera`
        The camera that goes with the data being read.
 
    Returns
    -------
    dict
        A dictionary of dictionaries of objects constructed with the appropriate factory class.
        The first key is the sensor name lowered, and the second is the validity
        start time as a `datetime` object.
 
    Notes
    -----
    Each leaf object in the constructed dictionary has metadata associated with it.
    The detector ID may be retrieved from the DETECTOR entry of that metadata.
    """
    root = os.path.normpath(root)
    dirs = os.listdir(root)  # assumes all directories contain data
    dirs = [d for d in dirs if os.path.isdir(os.path.join(root, d))]
    data_by_chip = {}
    name_map = {det.getName().lower(): det.getName() for
                det in camera}  # we assume the directories have been lowered
 
    if not dirs:
        raise RuntimeError(f"No data found on path {root}")
 
    calib_types = set()
    for d in dirs:
        chip_name = os.path.basename(d)
        # Give informative error message if the detector name is not known
        # rather than a simple KeyError
        if chip_name not in name_map:
            detectors = [det for det in camera.getNameIter()]
            max_detectors = 10
            note_str = "knows"
            if len(detectors) > max_detectors:
                # report example subset
                note_str = "examples"
                detectors = detectors[:max_detectors]
            raise RuntimeError(f"Detector {chip_name} not known to supplied camera "
                               f"{camera.getName()} ({note_str}: {','.join(detectors)})")
        chip_id = camera[name_map[chip_name]].getId()
        data_by_chip[chip_name], calib_type = read_one_chip(root, chip_name, chip_id)
        calib_types.add(calib_type)
        if len(calib_types) != 1:  # set.add(None) has length 1 so None is OK here.
            raise ValueError(f'Error mixing calib types: {calib_types}')
 
    no_data = all([v == {} for v in data_by_chip.values()])
    if no_data:
        raise RuntimeError("No data to ingest")
 
    return data_by_chip, calib_type