# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
#
# Copyright 2021 The NiPreps Developers <nipreps@gmail.com>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# We support and encourage derived works from this project, please read
# about our expectations at
#
#     https://www.nipreps.org/community/licensing/
#
"""Interfaces to generate reportlets."""
import time
from pathlib import Path
from nipype.interfaces import freesurfer as fs
from nipype.interfaces.base import (
    BaseInterfaceInputSpec,
    Directory,
    File,
    InputMultiObject,
    SimpleInterface,
    Str,
    TraitedSpec,
    isdefined,
)
from nipype.interfaces.io import FSSourceInputSpec as _FSSourceInputSpec
from nipype.interfaces.mixins import reporting
from niworkflows.interfaces.reportlets.base import _SVGReportCapableInputSpec
SUBJECT_TEMPLATE = """\
\t<ul class="elem-desc">
\t\t<li>Subject ID: {subject_id}</li>
\t\t<li>Structural images: {n_t1s:d} T1-weighted {t2w}</li>
\t\t<li>Standard spaces: {output_spaces}</li>
\t\t<li>FreeSurfer reconstruction: {freesurfer_status}</li>
\t</ul>
"""
ABOUT_TEMPLATE = """\t<ul>
\t\t<li>sMRIPrep version: {version}</li>
\t\t<li>sMRIPrep command: <code>{command}</code></li>
\t\t<li>Date preprocessed: {date}</li>
\t</ul>
</div>
"""
class _SummaryOutputSpec(TraitedSpec):
    out_report = File(exists=True, desc='HTML segment containing summary')
[docs]
class SummaryInterface(SimpleInterface):
    """Base Nipype interface for html summaries."""
    output_spec = _SummaryOutputSpec
    def _run_interface(self, runtime):
        segment = self._generate_segment()
        path = Path(runtime.cwd) / 'report.html'
        path.write_text(segment)
        self._results['out_report'] = str(path)
        return runtime
    def _generate_segment(self):
        raise NotImplementedError 
class _SubjectSummaryInputSpec(BaseInterfaceInputSpec):
    t1w = InputMultiObject(File(exists=True), desc='T1w structural images')
    t2w = InputMultiObject(File(exists=True), desc='T2w structural images')
    subjects_dir = Directory(desc='FreeSurfer subjects directory')
    subject_id = Str(desc='Subject ID')
    output_spaces = InputMultiObject(Str, desc='list of standard spaces')
class _SubjectSummaryOutputSpec(_SummaryOutputSpec):
    # This exists to ensure that the summary is run prior to the first ReconAll
    # call, allowing a determination whether there is a pre-existing directory
    subject_id = Str(desc='FreeSurfer subject ID')
[docs]
class SubjectSummary(SummaryInterface):
    """Subject html summary reportlet."""
    input_spec = _SubjectSummaryInputSpec
    output_spec = _SubjectSummaryOutputSpec
    def _run_interface(self, runtime):
        if isdefined(self.inputs.subject_id):
            self._results['subject_id'] = self.inputs.subject_id
        return super()._run_interface(runtime)
    def _generate_segment(self):
        if not isdefined(self.inputs.subjects_dir):
            freesurfer_status = 'Not run'
        else:
            recon = fs.ReconAll(
                subjects_dir=self.inputs.subjects_dir,
                subject_id=self.inputs.subject_id,
                T1_files=self.inputs.t1w,
                flags='-noskullstrip',
            )
            if recon.cmdline.startswith('echo'):
                freesurfer_status = 'Pre-existing directory'
            else:
                freesurfer_status = 'Run by sMRIPrep'
        t2w_seg = ''
        if self.inputs.t2w:
            t2w_seg = f'(+ {len(self.inputs.t2w):d} T2-weighted)'
        output_spaces = self.inputs.output_spaces
        if not isdefined(output_spaces):
            output_spaces = '<none given>'
        else:
            output_spaces = ', '.join(output_spaces)
        return SUBJECT_TEMPLATE.format(
            subject_id=self.inputs.subject_id,
            n_t1s=len(self.inputs.t1w),
            t2w=t2w_seg,
            output_spaces=output_spaces,
            freesurfer_status=freesurfer_status,
        ) 
class _AboutSummaryInputSpec(BaseInterfaceInputSpec):
    version = Str(desc='sMRIPrep version')
    command = Str(desc='sMRIPrep command')
    # Date not included - update timestamp only if version or command changes
[docs]
class AboutSummary(SummaryInterface):
    """About section reportlet."""
    input_spec = _AboutSummaryInputSpec
    def _generate_segment(self):
        return ABOUT_TEMPLATE.format(
            version=self.inputs.version,
            command=self.inputs.command,
            date=time.strftime('%Y-%m-%d %H:%M:%S %z'),
        ) 
class _FSSurfaceReportInputSpec(_SVGReportCapableInputSpec, _FSSourceInputSpec):
    pass
class _FSSurfaceReportOutputSpec(reporting.ReportCapableOutputSpec):
    pass
[docs]
class FSSurfaceReport(SimpleInterface):
    """Replaces ``ReconAllRPT``, without need of calling recon-all."""
    input_spec = _FSSurfaceReportInputSpec
    output_spec = _FSSurfaceReportOutputSpec
    def _run_interface(self, runtime):
        from nibabel import load
        from niworkflows.viz.utils import (
            compose_view,
            cuts_from_bbox,
            plot_registration,
        )
        rootdir = Path(self.inputs.subjects_dir) / self.inputs.subject_id
        _anat_file = str(rootdir / 'mri' / 'brain.mgz')
        _contour_file = str(rootdir / 'mri' / 'ribbon.mgz')
        anat = load(_anat_file)
        contour_nii = load(_contour_file)
        n_cuts = 7
        cuts = cuts_from_bbox(contour_nii, cuts=n_cuts)
        self._results['out_report'] = str(Path(runtime.cwd) / self.inputs.out_report)
        # Call composer
        compose_view(
            plot_registration(
                anat,
                'fixed-image',
                estimate_brightness=True,
                cuts=cuts,
                contour=contour_nii,
                compress=self.inputs.compress_report,
            ),
            [],
            out_file=self._results['out_report'],
        )
        return runtime