def get(self):
"""Handles GET request to the resource.
Returns:
JSON object including version info
"""
schema = {'meta': {'version': version.get_version()}, 'objects': []}
response = jsonify(schema)
response.status_code = HTTP_STATUS_CODE_OK
return response
def _export_sketch(self, sketch):
"""Returns a ZIP file with the exported content of a sketch."""
file_object = io.BytesIO()
sketch_is_archived = sketch.get_status.status == 'archived'
if sketch_is_archived:
_ = self._unarchive_sketch(sketch)
story_exporter = story_export_manager.StoryExportManager.get_exporter(
'html')
meta = {
'user': current_user.username,
'time': datetime.datetime.utcnow().isoformat(),
'sketch_id': sketch.id,
'sketch_name': sketch.name,
'sketch_description': sketch.description,
'timesketch_version': version.get_version(),
}
with zipfile.ZipFile(file_object, mode='w') as zip_file:
zip_file.writestr('METADATA', data=json.dumps(meta))
for story in sketch.stories:
export.export_story(story, sketch, story_exporter, zip_file)
for aggregation in sketch.aggregations:
export.export_aggregation(aggregation, sketch, zip_file)
for view in sketch.views:
self._export_view(view, sketch, zip_file)
for group in sketch.aggregationgroups:
export.export_aggregation_group(group, sketch, zip_file)
self._export_events_with_comments(sketch, zip_file)
self._export_starred_events(sketch, zip_file)
self._export_tagged_events(sketch, zip_file)
# TODO (kiddi): Add in aggregation group support.
if sketch_is_archived:
_ = self._archive_sketch(sketch)
file_object.seek(0)
return send_file(
file_object, mimetype='zip',
attachment_filename='timesketch_export.zip')
def run(self):
"""Return the version information of Timesketch."""
return 'Timesketch version: {0:s}'.format(version.get_version())
try:
requirement = str(req.req)
except AttributeError:
requirement = str(req)
yield requirement
timesketch_description = (
'Timesketch is a web based tool for collaborative forensic timeline '
'analysis. Using sketches you and your collaborators can easily organize '
'timelines and analyze them all at the same time. Add meaning to '
'your raw data with rich annotations, comments, tags and stars.')
setup(
name='timesketch',
version=version.get_version(),
description='Digital forensic timeline analysis',
long_description=timesketch_description,
license='Apache License, Version 2.0',
url='http://www.timesketch.org/',
maintainer='Timesketch development team',
maintainer_email='*****@*****.**',
classifiers=[
'Development Status :: 4 - Beta',
'Environment :: Web Environment',
'Operating System :: OS Independent',
'Programming Language :: Python',
],
data_files=[
('share/timesketch', glob.glob(os.path.join('data', '*.*'))),
('share/timesketch/linux',
