Source code for gammapy.data.hdu_index_table

# Licensed under a 3-clause BSD style license - see LICENSE.rst
import sys
import numpy as np
import logging
from astropy.io import fits
from astropy.table import Table
from astropy.utils import lazyproperty
from ..utils.scripts import make_path

__all__ = ["HDULocation", "HDUIndexTable"]

log = logging.getLogger(__name__)


[docs]class HDULocation: """HDU localisation, loading and Gammapy object mapper. This represents one row in `HDUIndexTable`. It's more a helper class, that is wrapped by `~gammapy.data.DataStoreObservation`, usually those objects will be used to access data. See also :ref:`gadf:hdu-index`. """ def __init__( self, obs_id, hdu_type, hdu_class, base_dir, file_dir, file_name, hdu_name ): self.obs_id = obs_id self.hdu_type = hdu_type self.hdu_class = hdu_class self.base_dir = base_dir self.file_dir = file_dir self.file_name = file_name self.hdu_name = hdu_name
[docs] def info(self, file=None): """Print some summary info to stdout.""" if not file: file = sys.stdout print("OBS_ID = {}".format(self.obs_id), file=file) print("HDU_TYPE = {}".format(self.hdu_type), file=file) print("HDU_CLASS = {}".format(self.hdu_class), file=file) print("BASE_DIR = {}".format(self.base_dir), file=file) print("FILE_DIR = {}".format(self.file_dir), file=file) print("FILE_NAME = {}".format(self.file_name), file=file) print("HDU_NAME = {}".format(self.hdu_name), file=file)
[docs] def path(self, abs_path=True): """Full filename path. Include ``base_dir`` if ``abs_path`` is True. """ if abs_path: return make_path(self.base_dir) / self.file_dir / self.file_name else: return make_path(self.file_dir) / self.file_name
[docs] def get_hdu(self): """Get HDU.""" filename = str(self.path(abs_path=True)) # Here we're intentionally not calling `with fits.open` # because we don't want the file to remain open. hdu_list = fits.open(filename, memmap=False) return hdu_list[self.hdu_name]
[docs] def load(self): """Load HDU as appropriate class. TODO: this should probably go via an extensible registry. """ hdu_class = self.hdu_class filename = self.path() hdu = self.hdu_name if hdu_class == "events": from ..data import EventList return EventList.read(filename, hdu=hdu) elif hdu_class == "gti": from ..data import GTI return GTI.read(filename, hdu=hdu) elif hdu_class == "aeff_2d": from ..irf import EffectiveAreaTable2D return EffectiveAreaTable2D.read(filename, hdu=hdu) elif hdu_class == "edisp_2d": from ..irf import EnergyDispersion2D return EnergyDispersion2D.read(filename, hdu=hdu) elif hdu_class == "psf_table": from ..irf import PSF3D return PSF3D.read(filename, hdu=hdu) elif hdu_class == "psf_3gauss": from ..irf import EnergyDependentMultiGaussPSF return EnergyDependentMultiGaussPSF.read(filename, hdu=hdu) elif hdu_class == "psf_king": from ..irf import PSFKing return PSFKing.read(filename, hdu=hdu) elif hdu_class == "bkg_2d": from ..irf import Background2D return Background2D.read(filename, hdu=hdu) elif hdu_class == "bkg_3d": from ..irf import Background3D return Background3D.read(filename, hdu=hdu) else: raise ValueError("Invalid hdu_class: {}".format(hdu_class))
[docs]class HDUIndexTable(Table): """HDU index table. See :ref:`gadf:hdu-index`. """ VALID_HDU_TYPE = ["events", "gti", "aeff", "edisp", "psf", "bkg"] """Valid values for `HDU_TYPE`.""" VALID_HDU_CLASS = [ "events", "gti", "aeff_2d", "edisp_2d", "psf_table", "psf_3gauss", "psf_king", "bkg_2d", "bkg_3d", ] """Valid values for `HDU_CLASS`."""
[docs] @classmethod def read(cls, filename, **kwargs): """Read :ref:`gadf:hdu-index`. Parameters ---------- filename : `pathlib.Path`, str Filename """ filename = make_path(filename) table = super().read(str(filename), **kwargs) table.meta["BASE_DIR"] = filename.parent.as_posix() return table
@property def base_dir(self): """Base directory.""" return make_path(self.meta.get("BASE_DIR", ""))
[docs] def hdu_location(self, obs_id, hdu_type=None, hdu_class=None): """Create `HDULocation` for a given selection. Parameters ---------- obs_id : int Observation ID hdu_type : str HDU type (see `~gammapy.data.HDUIndexTable.VALID_HDU_TYPE`) hdu_class : str HDU class (see `~gammapy.data.HDUIndexTable.VALID_HDU_CLASS`) Returns ------- location : `~gammapy.data.HDULocation` HDU location """ self._validate_selection(obs_id=obs_id, hdu_type=hdu_type, hdu_class=hdu_class) idx = self.row_idx(obs_id=obs_id, hdu_type=hdu_type, hdu_class=hdu_class) if len(idx) == 1: idx = idx[0] elif len(idx) == 0: raise IndexError( "No HDU found matching: OBS_ID = {}, HDU_TYPE = {}, HDU_CLASS = {}" "".format(obs_id, hdu_type, hdu_class) ) else: idx = idx[0] log.warning( "Found multiple HDU matching: OBS_ID = {}, HDU_TYPE = {}, HDU_CLASS = {}." "".format(obs_id, hdu_type, hdu_class) + " Returning the first entry, which has HDU_TYPE = {} and HDU_CLASS = {}" "".format(self[idx]["HDU_TYPE"], self[idx]["HDU_CLASS"]) ) return self.location_info(idx)
def _validate_selection(self, obs_id, hdu_type, hdu_class): """Validate HDU selection. The goal is to give helpful error messages to the user. """ if hdu_type is None and hdu_class is None: raise ValueError("You have to specify `hdu_type` or `hdu_class`.") if hdu_type and hdu_type not in self.VALID_HDU_TYPE: msg = "Invalid hdu_type: {}. ".format(hdu_type) valid = [str(_) for _ in self.VALID_HDU_TYPE] msg += "Valid values are: {}".format(valid) raise ValueError(msg) if hdu_class and hdu_class not in self.VALID_HDU_CLASS: msg = "Invalid hdu_class: {}. ".format(hdu_class) valid = [str(_) for _ in self.VALID_HDU_CLASS] msg += "Valid values are: {}".format(valid) raise ValueError(msg) if obs_id not in self["OBS_ID"]: raise IndexError("No entry available with OBS_ID = {}".format(obs_id))
[docs] def row_idx(self, obs_id, hdu_type=None, hdu_class=None): """Table row indices for a given selection. Parameters ---------- obs_id : int Observation ID hdu_type : str HDU type (see `~gammapy.data.HDUIndexTable.VALID_HDU_TYPE`) hdu_class : str HDU class (see `~gammapy.data.HDUIndexTable.VALID_HDU_CLASS`) Returns ------- idx : list of int List of row indices matching the selection. """ selection = self["OBS_ID"] == obs_id if hdu_class: is_hdu_class = self._hdu_class_stripped == hdu_class selection &= is_hdu_class if hdu_type: is_hdu_type = self._hdu_type_stripped == hdu_type selection &= is_hdu_type idx = np.where(selection)[0] return list(idx)
[docs] def location_info(self, idx): """Create `HDULocation` for a given row index.""" row = self[idx] return HDULocation( obs_id=row["OBS_ID"], hdu_type=row["HDU_TYPE"].strip(), hdu_class=row["HDU_CLASS"].strip(), base_dir=self.base_dir.as_posix(), file_dir=row["FILE_DIR"].strip(), file_name=row["FILE_NAME"].strip(), hdu_name=row["HDU_NAME"].strip(), )
@lazyproperty def _hdu_class_stripped(self): return np.array([_.strip() for _ in self["HDU_CLASS"]]) @lazyproperty def _hdu_type_stripped(self): return np.array([_.strip() for _ in self["HDU_TYPE"]]) @lazyproperty def obs_id_unique(self): """Observation IDs (unique).""" return np.unique(np.sort(self["OBS_ID"])) @lazyproperty def hdu_type_unique(self): """HDU types (unique).""" return list(np.unique(np.sort([_.strip() for _ in self["HDU_TYPE"]]))) @lazyproperty def hdu_class_unique(self): """HDU classes (unique).""" return list(np.unique(np.sort([_.strip() for _ in self["HDU_CLASS"]])))
[docs] def summary(self): """Summary report (str).""" obs_id = self.obs_id_unique return "\n".join( [ "HDU index table:", "BASE_DIR: {}".format(self.base_dir), "Rows: {}".format(len(self)), "OBS_ID: {} -- {}".format(obs_id[0], obs_id[-1]), "HDU_TYPE: {}".format(self.hdu_type_unique), "HDU_CLASS: {}".format(self.hdu_class_unique), ] )