Пример #1
0
    def compare_outputs(self, outputs, atol=0, rtol=1e-7, raise_error=True,
                        ignore_keywords_overwrite=None):
        """
        Compare ACSTOOLS output with "truth" using ``fitsdiff``.

        Parameters
        ----------
        outputs : list of tuple
            A list of tuples, each containing filename (without path)
            of CALXXX output and truth, in that order. Example::

                [('output1.fits', 'truth1.fits'),
                 ('output2.fits', 'truth2.fits'),
                 ...]

        atol, rtol : float
            Absolute and relative tolerance for data comparison.

        raise_error : bool
            Raise ``AssertionError`` if difference is found.

        ignore_keywords_overwrite : list of str or `None`
            If not `None`, these will overwrite
            ``self.ignore_keywords`` for the calling test.

        Returns
        -------
        report : str
            Report from ``fitsdiff``.
            This is part of error message if ``raise_error=True``.

        """
        all_okay = True
        creature_report = ''

        if ignore_keywords_overwrite is None:
            ignore_keywords = self.ignore_keywords
        else:
            ignore_keywords = ignore_keywords_overwrite

        for actual, desired in outputs:
            desired = get_bigdata('scsb-acstools', self.env, self.detector,
                                  'truth', desired)
            fdiff = FITSDiff(actual, desired, rtol=rtol, atol=atol,
                             ignore_keywords=ignore_keywords)
            creature_report += fdiff.report()

            if not fdiff.identical and all_okay:
                all_okay = False

        if not all_okay and raise_error:
            raise AssertionError(os.linesep + creature_report)

        return creature_report
Пример #2
0
    def compare_outputs(self, outputs, atol=0, rtol=1e-7, raise_error=True,
                        ignore_keywords_overwrite=None):
        """
        Compare ACSTOOLS output with "truth" using ``fitsdiff``.

        Parameters
        ----------
        outputs : list of tuple
            A list of tuples, each containing filename (without path)
            of CALXXX output and truth, in that order. Example::

                [('output1.fits', 'truth1.fits'),
                 ('output2.fits', 'truth2.fits'),
                 ...]

        atol, rtol : float
            Absolute and relative tolerance for data comparison.

        raise_error : bool
            Raise ``AssertionError`` if difference is found.

        ignore_keywords_overwrite : list of str or `None`
            If not `None`, these will overwrite
            ``self.ignore_keywords`` for the calling test.

        Returns
        -------
        report : str
            Report from ``fitsdiff``.
            This is part of error message if ``raise_error=True``.

        """
        all_okay = True
        creature_report = ''

        if ignore_keywords_overwrite is None:
            ignore_keywords = self.ignore_keywords
        else:
            ignore_keywords = ignore_keywords_overwrite

        for actual, desired in outputs:
            desired = get_bigdata('scsb-acstools', self.env, self.detector,
                                  'truth', desired)
            fdiff = FITSDiff(actual, desired, rtol=rtol, atol=atol,
                             ignore_keywords=ignore_keywords)
            creature_report += fdiff.report()

            if not fdiff.identical and all_okay:
                all_okay = False

        if not all_okay and raise_error:
            raise AssertionError(os.linesep + creature_report)

        return creature_report
Пример #3
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def test_fitsdiff_openfile(tmpdir):
    """Make sure that failing FITSDiff doesn't leave open files."""
    path1 = str(tmpdir.join("file1.fits"))
    path2 = str(tmpdir.join("file2.fits"))

    hdulist = HDUList([PrimaryHDU(), ImageHDU(data=np.zeros(5))])
    hdulist.writeto(path1)
    hdulist[1].data[0] = 1
    hdulist.writeto(path2)

    diff = FITSDiff(path1, path2)
    assert diff.identical, diff.report()
Пример #4
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    def comparison(self, conf):
        """
        this is the FITS comparison function
        NB: the images are given by chronological order
        :param conf: DirConfiguration
        :return: list of strings
        """
        fd1 = FITSDiff(conf["temp"] + self.image_1,
                       conf["temp"] + self.image_2,
                       numdiffs=self.num_differences,
                       tolerance=self.tolerance)
        fd2 = FITSDiff(conf["temp"] + self.image_2,
                       conf["temp"] + self.image_3,
                       numdiffs=self.num_differences,
                       tolerance=self.tolerance)
        fd3 = FITSDiff(conf["temp"] + self.image_1,
                       conf["temp"] + self.image_3,
                       numdiffs=self.num_differences,
                       tolerance=self.tolerance)

        # eliminating first approximation interference -> no objects
        if not fd1.identical and not fd2.identical:
            if fd3.identical:
                self.report = False

                # storing the fit file
                self.moveimage([self.image_1], conf)
                return [conf["archive"] + self.image_1]

        # anomaly detected -> repository notification
        if not fd1.identical and not fd2.identical:
            self.report = True

            # storing the fit files
            self.moveimage([self.image_1, self.image_2, self.image_3], conf)
            return [
                conf["archive"] + self.image_1, conf["archive"] + self.image_2,
                conf["archive"] + self.image_3
            ]
Пример #5
0
 def difference(self):
     """Run fitsdiff on files named `old_file` and `new_file`.
     
     Returns:
     
     0 no differences
     1 some differences
     """
     loc_old_file = self.locate_file(self.old_file)
     loc_new_file = self.locate_file(self.new_file)
     
     # Do the standard diff.
     fdiff = FITSDiff(loc_old_file, loc_new_file)
     
     # Do the diff by rows.
     rdiff = rowdiff.RowDiff(loc_old_file, loc_new_file)
     
     if not fdiff.identical:
         fdiff.report(fileobj=sys.stdout)
         print('\n', rdiff)
         
     return 0 if fdiff.identical else 1
Пример #6
0
    def difference(self):
        """Run fitsdiff on files named `old_file` and `new_file`.
        
        Returns:
        
        0 no differences
        1 some differences
        """
        loc_old_file = self.locate_file(self.old_file)
        loc_new_file = self.locate_file(self.new_file)

        # Do the standard diff.
        fdiff = FITSDiff(loc_old_file, loc_new_file)

        # Do the diff by rows.
        rdiff = rowdiff.RowDiff(loc_old_file, loc_new_file)

        if not fdiff.identical:
            fdiff.report(fileobj=sys.stdout)
            print('\n', rdiff)

        return 0 if fdiff.identical else 1
Пример #7
0
def test_convert():
    '''Convert tif to fits with and without statsfile'''
    with tempfile.TemporaryDirectory() as tmpdirname:
        # convert file without stats and add those in second step
        tiff2fitsimg(tpath('wslit_-1.2deg.tif'), tmpdirname)
        outfile = os.path.join(tmpdirname, 'wslit_-1.2deg_NoStats_img.fits')
        assert os.path.isfile(outfile)
        addstats2img(outfile, statfile=tpath(''), rename=False)
        assert os.path.isfile(outfile)

        # Use statsfile directly
        outfile2 = os.path.join(tmpdirname, 'wslit_-1.2deg_img.fits')
        assert not os.path.exists(outfile2)
        out = tiff2fitsimg(tpath('wslit_-1.2deg.tif'), tmpdirname,
                           statfile=tpath(''))
        assert os.path.isfile(outfile2)
        assert out == outfile2

        # Check result is the same
        # DATE contains time of conversion and will be slightly different
        diff = FITSDiff(outfile, outfile2, ignore_keywords=['DATE'])
        assert diff.identical
Пример #8
0
    def compare_outputs(self, outputs, atol=0, rtol=1e-7, raise_error=True,
                        ignore_keywords_overwrite=None, verbose=True):
        """
        Compare CALXXX output with "truth" using ``fitsdiff``.

        Parameters
        ----------
        outputs : list of tuple
            A list of tuples, each containing filename (without path)
            of CALXXX output and truth, in that order. Example::

                [('output1.fits', 'truth1.fits'),
                 ('output2.fits', 'truth2.fits'),
                 ...]

        atol, rtol : float
            Absolute and relative tolerance for data comparison.

        raise_error : bool
            Raise ``AssertionError`` if difference is found.

        ignore_keywords_overwrite : list of str or `None`
            If not `None`, these will overwrite
            ``self.ignore_keywords`` for the calling test.

        verbose : bool
            Print extra info to screen.

        Returns
        -------
        report : str
            Report from ``fitsdiff``.
            This is part of error message if ``raise_error=True``.

        """
        all_okay = True
        creature_report = ''
        updated_outputs = []  # To track outputs for Artifactory JSON schema

        if ignore_keywords_overwrite is None:
            ignore_keywords = self.ignore_keywords
        else:
            ignore_keywords = ignore_keywords_overwrite

        for actual, desired in outputs:
            desired = get_bigdata(self.env, self.instrument, self.detector,
                                  'truth', desired)
            fdiff = FITSDiff(actual, desired, rtol=rtol, atol=atol,
                             ignore_keywords=ignore_keywords)
            creature_report += fdiff.report()

            if not fdiff.identical:
                all_okay = False
                # Only keep track of failed results which need to
                # be used to replace the truth files (if OK).
                updated_outputs.append((actual, desired))

        if not all_okay:
            if self.results_root is not None:  # pragma: no cover
                schema_pattern, tree, testname = generate_upload_params(
                    self.results_root, updated_outputs, verbose=verbose)
                generate_upload_schema(schema_pattern, tree, testname)

            if raise_error:
                raise AssertionError(os.linesep + creature_report)

        return creature_report
Пример #9
0
    def compare_outputs(self, outputs, raise_error=True, delete_history=False):
        """
        Compare output with "truth" using appropriate
        diff routine; namely,
            ``fitsdiff`` for FITS file comparisons
            ``unified_diff`` for ASCII products.
        Parameters
        ----------
        outputs : list of tuple
            A list of tuples, each containing filename (without path)
            of CALXXX output and truth, in that order.
        raise_error : bool
            Raise ``AssertionError`` if difference is found.
        Returns
        -------
        report : str
            Report from ``fitsdiff``.
            This is part of error message if ``raise_error=True``.
        """
        all_okay = True
        creature_report = ''
        # Create instructions for uploading results to artifactory for use
        # as new comparison/truth files
        testpath, testname = os.path.split(os.path.abspath(os.curdir))
        # organize results by day test was run...could replace with git-hash
        whoami = getpass.getuser() or 'nobody'
        dt = datetime.datetime.now().strftime("%d%b%YT")
        ttime = datetime.datetime.now().strftime("%H_%M_%S")
        user_tag = 'NOT_CI_{}_{}'.format(whoami, ttime)
        build_tag = os.environ.get('BUILD_TAG', user_tag)
        build_suffix = os.environ.get('BUILD_MATRIX_SUFFIX', 'standalone')
        testdir = "{}_{}_{}".format(testname, build_tag, build_suffix)
        tree = os.path.join(self.results_root, self.input_loc, dt,
                            testdir) + os.sep

        updated_outputs = []
        for actual, desired in outputs:
            # Get "truth" image
            s = self.get_data('truth', desired)
            if s is not None:
                desired = s

            if actual.endswith('fits'):
                # Working with FITS files...
                if delete_history is True:
                    actual = fits.open(actual)
                    desired = fits.open(desired)
                    if 'HISTORY' in actual[0].header:
                        del actual[0].header['HISTORY']
                    if 'HISTORY' in desired[0].header:
                        del desired[0].header['HISTORY']

                fdiff = FITSDiff(actual,
                                 desired,
                                 rtol=self.rtol,
                                 atol=self.atol,
                                 ignore_keywords=self.ignore_keywords)

                if delete_history is True:
                    actual.close()
                    desired.close()

                creature_report += fdiff.report()
                if not fdiff.identical:
                    # Only keep track of failed results which need to
                    # be used to replace the truth files (if OK).
                    updated_outputs.append((actual, desired))
                if not fdiff.identical and all_okay:
                    all_okay = False
            else:
                # Try ASCII-based diff
                with open(actual) as afile:
                    actual_lines = afile.readlines()
                with open(desired) as dfile:
                    desired_lines = dfile.readlines()
                udiff = unified_diff(actual_lines,
                                     desired_lines,
                                     fromfile=actual,
                                     tofile=desired)

                old_stdout = sys.stdout
                udiffIO = StringIO()
                sys.stdout = udiffIO
                sys.stdout.writelines(udiff)
                sys.stdout = old_stdout
                udiff_report = udiffIO.getvalue()
                creature_report += udiff_report
                if len(udiff_report) > 2 and all_okay:
                    all_okay = False
                if len(udiff_report) > 2:
                    # Only keep track of failed results which need to
                    # be used to replace the truth files (if OK).
                    updated_outputs.append((actual, desired))

        if not all_okay:
            # Write out JSON file to enable retention of different results
            new_truths = [os.path.abspath(i[1]) for i in updated_outputs]
            for files in updated_outputs:
                print("Renaming {} as new 'truth' file: {}".format(
                    files[0], files[1]))
                shutil.move(files[0], files[1])
            log_pattern = [
                os.path.join(os.path.dirname(x), '*.log') for x in new_truths
            ]
            upload_results(pattern=new_truths + log_pattern,
                           testname=testname,
                           target=tree)

        if not all_okay and raise_error:
            raise AssertionError(os.linesep + creature_report)

        return creature_report
Пример #10
0
def compare_outputs(outputs, raise_error=True, ignore_keywords=[],
                    ignore_hdus=[], ignore_fields=[], rtol=0.0, atol=0.0,
                    input_path=[], docopy=True, results_root=None,
                    verbose=True):
    """
    Compare output with "truth" using appropriate
    diff routine; namely:
    * ``fitsdiff`` for FITS file comparisons.
    * ``unified_diff`` for ASCII products.
    Only after all elements of ``outputs`` have been
    processed will the method report any success or failure, with
    failure of any one comparison *not* preventing the rest of the
    comparisons to be performed.
    Parameters
    ----------
    outputs : list of tuple or dict
        This list defines what outputs from running the test will be
        compared.  Three distinct types of values as list elements
        are supported:
        * 2-tuple : ``(test output filename, truth filename)``
        * 3-tuple : ``(test output filename, truth filename, HDU names)``
        * dict : ``{'files': (output, truth), 'pars': {key: val}}``
        If filename contains extension such as ``[hdrtab]``,
        it will be interpreted as specifying comparison of just that HDU.
    raise_error : bool
        Raise ``AssertionError`` if difference is found.
    ignore_keywords : list of str
        List of FITS header keywords to be ignored by
        ``FITSDiff`` and ``HDUDiff``.
    ignore_hdus : list of str
        List of FITS HDU names to ignore by ``FITSDiff``.
        This is only available for ``astropy>=3.1``.
    ignore_fields : list of str
        List FITS table column names to be ignored by
        ``FITSDiff`` and ``HDUDiff``.
    rtol, atol : float
        Relative and absolute tolerance to be used by
        ``FITSDiff`` and ``HDUDiff``.
    input_path : list or tuple
        A series of sub-directory names under :func:`get_bigdata_root`
        that leads to the path of the 'truth' files to be compared
        against. If not provided, it assumes that 'truth' is in the
        working directory. For example, with :func:`get_bigdata_root`
        pointing to ``/grp/test_data``, a file at::
            /grp/test_data/pipeline/dev/ins/test_1/test_a.py
        would require ``input_path`` of::
            ["pipeline", "dev", "ins", "test_1"]
    docopy : bool
        If `True`, 'truth' will be copied to output directory before
        comparison is done.
    results_root : str or `None`
        If not `None`, for every failed comparison, the test output
        is automatically renamed to the given 'truth' in the output
        directory and :func:`generate_upload_schema` will be called
        to generate a JSON scheme for Artifactory upload.
        If you do not need this functionality, use ``results_root=None``.
    verbose : bool
        Print extra info to screen.
    Returns
    -------
    creature_report : str
        Report from FITS or ASCII comparator.
        This is part of error message if ``raise_error=True``.
    Examples
    --------
    There are multiple use cases for this method, specifically
    related to how ``outputs`` are defined upon calling this method.
    The specification of the ``outputs`` can be any combination of the
    following patterns:
    1. 2-tuple inputs::
           outputs = [('file1.fits', 'file1_truth.fits')]
       This definition indicates that ``file1.fits`` should be compared
       as a whole with ``file1_truth.fits``.
    2. 2-tuple inputs with extensions::
           outputs = [('file1.fits[hdrtab]', 'file1_truth.fits[hdrtab]')]
       This definition indicates that only the HDRTAB extension from
       ``file1.fits`` will be compared to the HDRTAB extension from
       ``file1_truth.fits``.
    3. 3-tuple inputs::
           outputs = [('file1.fits', 'file1_truth.fits', ['primary', 'sci'])]
       This definition indicates that only the PRIMARY and SCI extensions
       should be compared between the two files. This creates a temporary
       ``HDUList`` object comprising only the given extensions for comparison.
    4. Dictionary of inputs and parameters::
           outputs = [{'files': ('file1.fits', 'file1_truth.fits'),
                       'pars': {'ignore_keywords': ['ROOTNAME']}}]
        This definition indicates that ROOTNAME will be ignored during
        the comparison between the files specified in ``'files'``.
        Any input parameter for ``FITSDiff`` or ``HDUDiff`` can be specified
        as part of the ``'pars'`` dictionary.
        In addition, the input files listed in ``'files'`` can also include
        an extension specification, such as ``[hdrtab]``, to limit the
        comparison to just that extension.
    This example from an actual test definition demonstrates
    how multiple input defintions can be used at the same time::
        outputs = [
            ('jw99999_nircam_f140m-maskbar_psfstack.fits',
             'jw99999_nircam_f140m-maskbar_psfstack_ref.fits'
            ),
            ('jw9999947001_02102_00002_nrcb3_a3001_crfints.fits',
             'jw9999947001_02102_00002_nrcb3_a3001_crfints_ref.fits'
            ),
            {'files': ('jw99999_nircam_f140m-maskbar_i2d.fits',
                       'jw99999_nircam_f140m-maskbar_i2d_ref.fits'),
             'pars': {'ignore_hdus': ['HDRTAB']},
            {'files': ('jw99999_nircam_f140m-maskbar_i2d.fits',
                       'jw99999_nircam_f140m-maskbar_i2d_ref.fits',
                       ['primary','sci','dq']),
             'pars': {'rtol': 0.000001}
            },
            {'files': ('jw99999_nircam_f140m-maskbar_i2d.fits[hdrtab]',
                       'jw99999_nircam_f140m-maskbar_i2d_ref.fits[hdrtab]'),
             'pars': {'ignore_keywords': ['NAXIS1', 'TFORM*'],
                      'ignore_fields': ['COL1', 'COL2']}
            }]
    .. note:: Each ``outputs`` entry in the list gets interpreted and processed
              separately.
    """
    __tracebackhide__ = True
    default_kwargs = {'rtol': rtol, 'atol': atol,
                      'ignore_keywords': ignore_keywords,
                      'ignore_fields': ignore_fields,
                      'ignore_hdus': ignore_hdus}

    all_okay = True
    creature_report = ''
    updated_outputs = []  # To track outputs for Artifactory JSON schema

    for entry in outputs:
        diff_kwargs = copy.deepcopy(default_kwargs)
        extn_list = None
        num_entries = len(entry)

        if isinstance(entry, dict):
            entry_files = entry['files']
            actual = entry_files[0]
            desired = entry_files[1]
            if len(entry_files) > 2:
                extn_list = entry_files[2]
            diff_kwargs.update(entry.get('pars', {}))
        elif num_entries == 2:
            actual, desired = entry
        elif num_entries == 3:
            actual, desired, extn_list = entry
        else:
            all_okay = False
            creature_report += '\nERROR: Cannot handle entry {}\n'.format(
                entry)
            continue

        # TODO: Use regex?
        if actual.endswith(']'):
            if extn_list is not None:
                all_okay = False
                creature_report += (
                    '\nERROR: Ambiguous extension requirements '
                    'for {} ({})\n'.format(actual, extn_list))
                continue
            actual_name, actual_extn = actual.split('[')
            actual_extn = actual_extn.replace(']', '')
        else:
            actual_name = actual
            actual_extn = None

        if desired.endswith(']'):
            if extn_list is not None:
                all_okay = False
                creature_report += (
                    '\nERROR: Ambiguous extension requirements '
                    'for {} ({})\n'.format(desired, extn_list))
                continue
            desired_name, desired_extn = desired.split('[')
            desired_extn = desired_extn.replace(']', '')
        else:
            desired_name = desired
            desired_extn = None

        actual = os.path.abspath(actual)

        # Get "truth" image
        try:
            os.makedirs('truth', exist_ok=True)
            os.chdir('truth')
            desired = get_bigdata(*input_path, desired_name, docopy=docopy)
            desired = os.path.abspath(desired)
            os.chdir('..')
        except BigdataError:
            all_okay = False
            creature_report += '\nERROR: Cannot find {} in {}\n'.format(
                desired_name, input_path)
            continue

        if desired_extn is not None:
            desired_name = desired
            desired = "{}[{}]".format(desired, desired_extn)

        if verbose:
            print("\nComparing:\n {}\n {}".format(actual, desired))

        if actual.endswith('.fits') and desired.endswith('.fits'):
            # Build HDULists for comparison based on user-specified extensions
            if extn_list is not None:
                with fits.open(actual) as f_act:
                    with fits.open(desired) as f_des:
                        actual_hdu = fits.HDUList(
                            [f_act[extn] for extn in extn_list])
                        actual_hdu.filename = lambda: os.path.basename(actual)
                        desired_hdu = fits.HDUList(
                            [f_des[extn] for extn in extn_list])
                        desired_hdu.filename = lambda: os.path.basename(desired)
                        fdiff = FITSDiff(actual_hdu, desired_hdu,
                                         **diff_kwargs)
                        creature_report += '\na: {}\nb: {}\n'.format(
                            actual, desired)  # diff report only gives hash
            # Working with FITS files...
            else:
                fdiff = FITSDiff(actual, desired, **diff_kwargs)

            creature_report += fdiff.report()

            if not fdiff.identical:
                all_okay = False
                # Only keep track of failed results which need to
                # be used to replace the truth files (if OK).
                updated_outputs.append((actual, desired))

        elif actual_extn is not None or desired_extn is not None:
            if 'ignore_hdus' in diff_kwargs:  # pragma: no cover
                diff_kwargs.pop('ignore_hdus')  # Not applicable

            # Specific element of FITS file specified
            with fits.open(actual_name) as f_act:
                with fits.open(desired_name) as f_des:
                    actual_hdu = f_act[actual_extn]
                    desired_hdu = f_des[desired_extn]
                    fdiff = HDUDiff(actual_hdu, desired_hdu, **diff_kwargs)

            creature_report += 'a: {}\nb: {}\n'.format(actual, desired)
            creature_report += fdiff.report()

            if not fdiff.identical:
                all_okay = False
                # Only keep track of failed results which need to
                # be used to replace the truth files (if OK).
                updated_outputs.append((actual_name, desired_name))

        else:
            # ASCII-based diff
            with open(actual) as afile:
                actual_lines = afile.readlines()
            with open(desired) as dfile:
                desired_lines = dfile.readlines()

            udiff = unified_diff(actual_lines, desired_lines,
                                 fromfile=actual, tofile=desired)
            udiffIO = StringIO()
            udiffIO.writelines(udiff)
            udiff_report = udiffIO.getvalue()
            udiffIO.close()

            if len(udiff_report) == 0:
                creature_report += ('\na: {}\nb: {}\nNo differences '
                                    'found.\n'.format(actual, desired))
            else:
                all_okay = False
                creature_report += udiff_report
                # Only keep track of failed results which need to
                # be used to replace the truth files (if OK).
                updated_outputs.append((actual, desired))

    if not all_okay and results_root is not None:  # pragma: no cover
        schema_pattern, tree, testname = generate_upload_params(
            results_root, updated_outputs, verbose=verbose)
        generate_upload_schema(schema_pattern, tree, testname)

    if not all_okay and raise_error:
        raise AssertionError(os.linesep + creature_report)

    return creature_report
Пример #11
0
def find(name, path):
    for root, dirs, files in os.walk(path):
        if os.path.basename(name) in files:
            # Check if this is the last version number of a CALDB file.
            marxver = int(name[-9:-5])
            for f in files:
                if (int(f[-9:-5]) > marxver) and (f[:-9] == os.path.basename(name)[:-9]):
                    print ("Check if {0} superceedes {1}".format(f, name))
            return os.path.join(root, os.path.basename(name))


for f in marxcaldb:
    diff = None
    caldbfile = find(f, CALDB)
    if caldbfile is not None:
        diff = FITSDiff(f, caldbfile, ignore_keywords=ignore_key)
    # special cases
    else:
        fbase = os.path.basename(f)
        if os.path.basename(f) == "acisfef.fits":
            caldbfile = find("acisD2000-01-29fef_phaN0005.fits", CALDB)
            call("../caldb/fixfef.sl {0} {1}_new".format(caldbfile, f), shell=True)
            diff = FITSDiff(f, f + "_new", ignore_keywords=ignore_key)
        elif fbase.startswith("acisD1999-07-22subpixN00"):
            caldbfile = find(fbase.replace("_marx", ""), CALDB)
            call("../utils/mksubpix.sl {0} {1}_new".format(caldbfile, f), shell=True)
            diff = FITSDiff(f, f + "_new", ignore_keywords=ignore_key)
        elif fbase.startswith("acisD1999-08-13contamN00"):
            caldbfile = find(fbase.replace("_marx", ""), CALDB)
            call("python ../utils/mkcontam.py {0} {1}_new".format(caldbfile, f), shell=True)
            diff = FITSDiff(f, f + "_new", ignore_keywords=ignore_key)
Пример #12
0
    def compare_outputs(self, outputs, raise_error=True):
        """
        Compare output with "truth" using appropriate
        diff routine; namely,
            ``fitsdiff`` for FITS file comparisons
            ``unified_diff`` for ASCII products.

        Parameters
        ----------
        outputs : list of tuple
            A list of tuples, each containing filename (without path)
            of CALXXX output and truth, in that order.

        raise_error : bool
            Raise ``AssertionError`` if difference is found.

        Returns
        -------
        report : str
            Report from ``fitsdiff``.
            This is part of error message if ``raise_error=True``.

        """
        all_okay = True
        creature_report = ''
        # Create instructions for uploading results to artifactory for use
        # as new comparison/truth files
        testpath, testname = os.path.split(os.path.abspath(os.curdir))
        # organize results by day test was run...could replace with git-hash
        whoami = getpass.getuser() or 'nobody'
        dt = datetime.datetime.now().strftime("%d%b%YT")
        ttime = datetime.datetime.now().strftime("%H_%M_%S")
        user_tag = 'NOT_CI_{}_{}'.format(whoami, ttime)
        build_tag = os.environ.get('BUILD_TAG',  user_tag)
        build_suffix = os.environ.get('BUILD_MATRIX_SUFFIX', 'standalone')
        testdir = "{}_{}_{}".format(testname, build_tag, build_suffix)
        tree = os.path.join(self.results_root, self.input_loc,
                            dt, testdir) + os.sep

        updated_outputs = []
        for actual, desired in outputs:
            # Get "truth" image
            s = self.get_data('truth', desired)
            if s is not None:
                desired = s

            if actual.endswith('fits'):
                # Working with FITS files...
                fdiff = FITSDiff(actual, desired, rtol=self.rtol, atol=self.atol,
                                 ignore_keywords=self.ignore_keywords)
                creature_report += fdiff.report()
                if not fdiff.identical:
                    # Only keep track of failed results which need to
                    # be used to replace the truth files (if OK).
                    updated_outputs.append((actual, desired))
                if not fdiff.identical and all_okay:
                    all_okay = False
            else:
                # Try ASCII-based diff
                with open(actual) as afile:
                    actual_lines = afile.readlines()
                with open(desired) as dfile:
                    desired_lines = dfile.readlines()
                udiff = unified_diff(actual_lines, desired_lines,
                                     fromfile=actual, tofile=desired)

                old_stdout = sys.stdout
                udiffIO = StringIO()
                sys.stdout = udiffIO
                sys.stdout.writelines(udiff)
                sys.stdout = old_stdout
                udiff_report = udiffIO.getvalue()
                creature_report += udiff_report
                if len(udiff_report) > 2 and all_okay:
                    all_okay = False
                if len(udiff_report) > 2:
                    # Only keep track of failed results which need to
                    # be used to replace the truth files (if OK).
                    updated_outputs.append((actual, desired))

        if not all_okay:
            # Write out JSON file to enable retention of different results
            new_truths = [os.path.abspath(i[1]) for i in updated_outputs]
            for files in updated_outputs:
                print("Renaming {} as new 'truth' file: {}".format(
                      files[0], files[1]))
                shutil.move(files[0], files[1])
            log_pattern = [os.path.join(os.path.dirname(x), '*.log') for x in new_truths]
            generate_upload_schema(pattern=new_truths + log_pattern,
                           testname=testname,
                           target= tree)

        if not all_okay and raise_error:
            raise AssertionError(os.linesep + creature_report)


        return creature_report
Пример #13
0
def find(name, path):
    for root, dirs, files in os.walk(path):
        if os.path.basename(name) in files:
            # Check if this is the last version number of a CALDB file.
            marxver = int(name[-9:-5])
            for f in files:
                if (int(f[-9:-5]) > marxver) and (f[:-9] == os.path.basename(name)[:-9]):
                    print('Check if {0} superceedes {1}'.format(f, name))
            return os.path.join(root, os.path.basename(name))


for f in marxcaldb:
    diff = None
    caldbfile = find(f, CALDB)
    if caldbfile is not None:
        diff = FITSDiff(f, caldbfile, ignore_keywords=ignore_key)
    # special cases
    else:
        fbase = os.path.basename(f)
        if os.path.basename(f) == 'acisfef.fits':
            caldbfile = find('acisD2000-01-29fef_phaN0005.fits', CALDB)
            call('../caldb/fixfef.sl {0} {1}_new'.format(caldbfile, f), shell=True)
            diff = FITSDiff(f, f + '_new', ignore_keywords=ignore_key)
        elif fbase.startswith('acisD1999-07-22subpixN00'):
            caldbfile = find(fbase.replace('_marx', ''), CALDB)
            call('../utils/mksubpix.sl {0} {1}_new'.format(caldbfile, f), shell = True)
            diff = FITSDiff(f, f + '_new', ignore_keywords=ignore_key)
        elif fbase.startswith('acisD1999-08-13contamN00'):
            caldbfile = find(fbase.replace('_marx', ''), CALDB)
            call('python ../utils/mkcontam.py {0} {1}_new'.format(caldbfile, f), shell = True)
            diff = FITSDiff(f, f + '_new', ignore_keywords=ignore_key)
Пример #14
0
    def compare_outputs(self,
                        outputs,
                        atol=0,
                        rtol=1e-7,
                        raise_error=True,
                        ignore_keywords_overwrite=None,
                        verbose=True):
        """
        Compare CALXXX output with "truth" using ``fitsdiff``.

        Parameters
        ----------
        outputs : list of tuple
            A list of tuples, each containing filename (without path)
            of CALXXX output and truth, in that order. Example::

                [('output1.fits', 'truth1.fits'),
                 ('output2.fits', 'truth2.fits'),
                 ...]

        atol, rtol : float
            Absolute and relative tolerance for data comparison.

        raise_error : bool
            Raise ``AssertionError`` if difference is found.

        ignore_keywords_overwrite : list of str or `None`
            If not `None`, these will overwrite
            ``self.ignore_keywords`` for the calling test.

        verbose : bool
            Print extra info to screen.

        Returns
        -------
        report : str
            Report from ``fitsdiff``.
            This is part of error message if ``raise_error=True``.

        """
        all_okay = True
        creature_report = ''
        updated_outputs = []  # To track outputs for Artifactory JSON schema

        if ignore_keywords_overwrite is None:
            ignore_keywords = self.ignore_keywords
        else:
            ignore_keywords = ignore_keywords_overwrite

        for actual, desired in outputs:
            desired = get_bigdata(self.env, self.instrument, self.detector,
                                  'truth', desired)
            fdiff = FITSDiff(actual,
                             desired,
                             rtol=rtol,
                             atol=atol,
                             ignore_keywords=ignore_keywords)
            creature_report += fdiff.report()

            if not fdiff.identical:
                all_okay = False
                # Only keep track of failed results which need to
                # be used to replace the truth files (if OK).
                updated_outputs.append((actual, desired))

        if not all_okay:
            if self.results_root is not None:  # pragma: no cover
                schema_pattern, tree, testname = generate_upload_params(
                    self.results_root, updated_outputs, verbose=verbose)
                generate_upload_schema(schema_pattern, tree, testname)

            if raise_error:
                raise AssertionError(os.linesep + creature_report)

        return creature_report