LCOV - code coverage report
Current view: top level - imageanalysis/ImageAnalysis - ImageMetaData.tcc (source / functions) Hit Total Coverage
Test: casacpp_coverage.info Lines: 0 106 0.0 %
Date: 2024-10-09 13:55:54 Functions: 0 21 0.0 %

          Line data    Source code
       1             : //# Copyright (C) 2009
       2             : //# Associated Universities, Inc. Washington DC, USA.
       3             : //#
       4             : //# This library is free software; you can redistribute it and/or modify it
       5             : //# under the terms of the GNU Library General Public License as published by
       6             : //# the Free Software Foundation; either version 2 of the License, or (at your
       7             : //# option) any later version.
       8             : //#
       9             : //# This library is distributed in the hope that it will be useful, but WITHOUT
      10             : //# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
      11             : //# FITNESS FOR A PARTICULAR PURPOSE.  See the GNU Library General Public
      12             : //# License for more details.
      13             : //#
      14             : //# You should have received a copy of the GNU Library General Public License
      15             : //# along with this library; if not, write to the Free Software Foundation,
      16             : //# Inc., 675 Massachusetts Ave, Cambridge, MA 02139, USA.
      17             : //#
      18             : //# Correspondence concerning AIPS++ should be addressed as follows:
      19             : //#        Internet email: casa-feedback@nrao.edu.
      20             : //#        Postal address: AIPS++ Project Office
      21             : //#                        National Radio Astronomy Observatory
      22             : //#                        520 Edgemont Road
      23             : //#                        Charlottesville, VA 22903-2475 USA
      24             : //#
      25             : 
      26             : #include <imageanalysis/ImageAnalysis/ImageMetaData.h>
      27             : 
      28             : #include <casacore/casa/Logging/LogFilter.h>
      29             : 
      30             : #include <casacore/casa/aips.h>
      31             : 
      32             : #include <casacore/images/Images/ImageSummary.h>
      33             : 
      34             : 
      35             : #ifndef IMAGEANALYSIS_IMAGEMETADATA_TCC
      36             : #define IMAGEANALYSIS_IMAGEMETADATA_TCC
      37             : 
      38             : using namespace casacore;
      39             : 
      40             : namespace casa {
      41             : 
      42           0 : template <class T> ImageMetaData<T>::ImageMetaData(
      43             :     SPCIIT image
      44           0 : ) : ImageMetaDataBase<T>(image), _image(image), _info(image->imageInfo()),
      45           0 :     _csys(image->coordinates()) {}
      46             : 
      47           0 : template<class T> String ImageMetaData<T>::_getBrightnessUnit() const {
      48           0 :     return _image->units().getName();
      49             : }
      50             : 
      51             : template<class T> casacore::Record ImageMetaData<T>::summary(
      52             :     const casacore::String& doppler, const casacore::Bool list,
      53             :     const casacore::Bool pixelorder, const casacore::Bool verbose
      54             : ) {
      55             :     auto log = this->_getLog();
      56             :     log << casacore::LogOrigin("ImageMetaData", __func__);
      57             :     casacore::Vector<casacore::String> messages;
      58             :     casacore::Record retval;
      59             :     casacore::ImageSummary<T> s(*_image);
      60             :     casacore::MDoppler::Types velType;
      61             :     if (!casacore::MDoppler::getType(velType, doppler)) {
      62             :         log << casacore::LogIO::WARN << "Illegal velocity type, using RADIO"
      63             :                 << casacore::LogIO::POST;
      64             :         velType = casacore::MDoppler::RADIO;
      65             :     }
      66             : 
      67             :     if (list) {
      68             :         messages = s.list(log, velType, false, verbose);
      69             :     }
      70             :     else {
      71             :         // Write messages to local sink only so we can fish them out again
      72             :         casacore::LogFilter filter;
      73             :         casacore::LogSink sink(filter, false);
      74             :         casacore::LogIO osl(sink);
      75             :         messages = s.list(osl, velType, true);
      76             :     }
      77             :     retval.define("messages", messages);
      78             :     auto axes = s.axisNames(pixelorder);
      79             :     auto crpix = s.referencePixels(false); // 0-rel
      80             :     auto crval = s.referenceValues(pixelorder);
      81             :     auto cdelt = s.axisIncrements(pixelorder);
      82             :     auto axisunits = s.axisUnits(pixelorder);
      83             : 
      84             :     auto shape = this->_getShape();
      85             :     retval.define("ndim", (casacore::Int)shape.size());
      86             :     retval.define("shape", shape.asVector());
      87             :     retval.define("tileshape", s.tileShape().asVector());
      88             :     retval.define("axisnames", axes);
      89             :     retval.define("refpix", crpix);
      90             :     retval.define("refval", crval);
      91             :     retval.define("incr", cdelt);
      92             :     retval.define("axisunits", axisunits);
      93             :     retval.define("unit", _getBrightnessUnit());
      94             :     retval.define("hasmask", s.hasAMask());
      95             :     retval.define("defaultmask", s.defaultMaskName());
      96             :     retval.define("masks", s.maskNames());
      97             :     retval.define("imagetype", _getImType());
      98             : 
      99             :     const auto& info = _image->imageInfo();
     100             :     casacore::Record iRec;
     101             :     casacore::String error;
     102             :     using casacore::AipsError;
     103             :     ThrowIf(
     104             :         ! info.toRecord(error, iRec),
     105             :         "Failed to convert ImageInfo to a record because "
     106             :     );
     107             :     if (iRec.isDefined("restoringbeam")) {
     108             :         retval.defineRecord("restoringbeam", iRec.asRecord("restoringbeam"));
     109             :     }
     110             :     else if (iRec.isDefined("perplanebeams")) {
     111             :         retval.defineRecord("perplanebeams", info.beamToRecord(-1, -1));
     112             :     }
     113             :     return retval;
     114             : }
     115             : 
     116           0 : template <class T> Record ImageMetaData<T>::toRecord(Bool verbose) const {
     117           0 :     if (_header.empty()) {
     118           0 :         _header = this->_makeHeader();
     119             :     }
     120           0 :     if (verbose) {
     121           0 :         this->_toLog(_header);
     122             :     }
     123           0 :     return _header;
     124             : }
     125             : 
     126           0 : template <class T> Vector<String> ImageMetaData<T>::_getAxisNames() const {
     127           0 :     if (_axisNames.empty()) {
     128           0 :         _axisNames = _getCoords().worldAxisNames();
     129             :     }
     130           0 :     return _axisNames;
     131             : }
     132             : 
     133           0 : template <class T> Vector<String> ImageMetaData<T>::_getAxisUnits() const {
     134           0 :     if (_axisUnits.empty()) {
     135           0 :         _axisUnits = _getCoords().worldAxisUnits();
     136             :     }
     137           0 :     return _axisUnits;
     138             : }
     139             : 
     140           0 : template <class T> GaussianBeam ImageMetaData<T>::_getBeam() const {
     141           0 :     const ImageInfo& info = _getInfo();
     142           0 :     if (info.hasSingleBeam()) {
     143           0 :         if (_beam == GaussianBeam::NULL_BEAM) {
     144           0 :             _beam = info.restoringBeam(-1, -1);
     145             :         }
     146           0 :         return _beam;
     147             :     }
     148           0 :     else if (info.hasMultipleBeams()) {
     149           0 :         throw AipsError("This image has multiple beams.");
     150             :     }
     151             :     else {
     152           0 :         throw AipsError("This image has no beam(s).");
     153             :     }
     154             : }
     155             : 
     156           0 : template <class T> String ImageMetaData<T>::_getEquinox() const {
     157           0 :     if (_equinox.empty()) {
     158           0 :         if (_getCoords().hasDirectionCoordinate()) {
     159           0 :             _equinox = MDirection::showType(
     160           0 :                 _getCoords().directionCoordinate().directionType()
     161             :             );
     162             :         }
     163             :     }
     164           0 :     return _equinox;
     165             : }
     166             : 
     167           0 : template <class T> String ImageMetaData<T>::_getImType() const {
     168           0 :     if (_imtype.empty()) {
     169           0 :         _imtype = ImageInfo::imageType(_getInfo().imageType());
     170             :     }
     171           0 :     return _imtype;
     172             : }
     173             : 
     174           0 : template <class T> vector<Quantity> ImageMetaData<T>::_getIncrements() const {
     175           0 :     if (_increment.size() == 0) {
     176           0 :         Vector<Double> incs = _getCoords().increment();
     177           0 :         Vector<String> units = _getAxisUnits();
     178           0 :         for (uInt i=0; i<incs.size(); i++) {
     179           0 :             _increment.push_back(Quantity(incs[i], units[i]));
     180             :         }
     181           0 :     }
     182           0 :     return _increment;
     183             : }
     184             : 
     185           0 : template <class T> String ImageMetaData<T>::_getObject() const {
     186           0 :     if (_object.empty()) {
     187           0 :         _object = _getInfo().objectName();
     188             :     }
     189           0 :     return _object;
     190             : }
     191             : 
     192           0 : template <class T> Vector<String> ImageMetaData<T>::_getMasks() const {
     193           0 :     if (_masks.empty()) {
     194           0 :         _masks = _image->regionNames(RegionHandler::Masks);
     195             :     }
     196           0 :     return _masks;
     197             : }
     198             : 
     199           0 : template <class T> MEpoch ImageMetaData<T>::_getObsDate() const {
     200           0 :     if (_obsdate.get("s") == 0) {
     201           0 :         _obsdate = _getCoords().obsInfo().obsDate();
     202             :     }
     203           0 :     return _obsdate;
     204             : }
     205             : 
     206           0 : template <class T> String ImageMetaData<T>::_getObserver() const {
     207           0 :     if (_observer.empty()) {
     208           0 :         _observer = _getCoords().obsInfo().observer();
     209             :     }
     210           0 :     return _observer;
     211             : }
     212             : 
     213           0 : template <class T> String ImageMetaData<T>::_getProjection() const {
     214           0 :     if (_projection.empty()) {
     215           0 :         _projection = ImageMetaDataBase<T>::_getProjection();
     216             :     }
     217           0 :     return _projection;
     218             : }
     219             : 
     220           0 : template <class T> Vector<Double> ImageMetaData<T>::_getRefPixel() const {
     221           0 :     if (_refPixel.size() == 0) {
     222           0 :         _refPixel = _getCoords().referencePixel();
     223             :     }
     224           0 :     return _refPixel;
     225             : }
     226             : 
     227           0 : template <class T> Vector<String> ImageMetaData<T>::_getStokes() const {
     228           0 :     const CoordinateSystem csys = _getCoords();
     229           0 :     ThrowIf(
     230             :         ! csys.hasPolarizationCoordinate(),
     231             :         "Logic Error: coordinate system does not have a polarization coordinate"
     232             :     );
     233           0 :     if (_stokes.empty()) {
     234           0 :         _stokes = csys.stokesCoordinate().stokesStrings();
     235             :     }
     236           0 :     return _stokes;
     237           0 : }
     238             : 
     239           0 : template <class T> Vector<Quantity> ImageMetaData<T>::_getRefValue() const {
     240           0 :     if (_refVal.size() == 0) {
     241           0 :         Vector<Double> vals = _getCoords().referenceValue();
     242           0 :         Vector<String> units = _getAxisUnits();
     243           0 :         for (uInt i=0; i<vals.size(); i++) {
     244           0 :             _refVal.push_back(Quantity(vals[i], units[i]));
     245             :         }
     246           0 :     }
     247           0 :     return Vector<Quantity>(_refVal);
     248             : }
     249             : 
     250           0 : template <class T> String ImageMetaData<T>::_getRefFreqType() const {
     251           0 :     if (_reffreqtype.empty() && _getCoords().hasSpectralAxis()) {
     252           0 :         _reffreqtype = MFrequency::showType(
     253           0 :             _getCoords().spectralCoordinate().frequencySystem(false)
     254             :         );
     255             :     }
     256           0 :     return _reffreqtype;
     257             : }
     258             : 
     259           0 : template <class T> Quantity ImageMetaData<T>::_getRestFrequency() const {
     260           0 :     const CoordinateSystem& csys = _getCoords();
     261           0 :     ThrowIf(
     262             :         ! csys.hasSpectralAxis(),
     263             :         "Image has no spectral axis so there is no rest frequency"
     264             :     );
     265           0 :     if (_restFreq.getValue() == 0) {
     266           0 :         _restFreq = Quantity(
     267           0 :             csys.spectralCoordinate().restFrequency(),
     268           0 :             csys.spectralCoordinate().worldAxisUnits()[0]
     269             :         );
     270             :     }
     271           0 :     return _restFreq;
     272             : }
     273             : 
     274           0 : template <class T> Record ImageMetaData<T>::_getStatistics() const {
     275           0 :     if (_stats.empty() && isReal(_image->dataType())) {
     276           0 :         _stats = this->_calcStats();
     277             :     }
     278           0 :     return _stats;
     279             : }
     280             : 
     281           0 : template <class T> String ImageMetaData<T>::_getTelescope() const {
     282           0 :     if (_telescope.empty()) {
     283           0 :         _telescope = _getCoords().obsInfo().telescope();
     284             :     }
     285           0 :     return _telescope;
     286             : }
     287             : 
     288             : }
     289             : 
     290             : #endif

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