Handling provenance information

The records module defines the Record class, which gathers and stores information about an individual simulation or analysis run.

class sumatra.records.Record(executable, repository, main_file, version, launch_mode, datastore, parameters={}, input_data=[], script_arguments=u'', label=None, reason=u'', diff=u'', user=u'', on_changed=u'error', input_datastore=None, stdout_stderr=u'Not launched.', timestamp=None, timestamp_format=u'%Y%m%d-%H%M%S')

Bases: future.types.newobject.newobject

The Record class has two main roles: capturing information about the context of a computation, and storing this information for later retrieval.

command_line

Return the command-line string for the computation captured by this record.

delete_data()

Delete any data files associated with this record.

describe(format=u'text', mode=u'long')

Return a description of the record.

mode:

either ‘long’ or ‘short’

format

either ‘text’ or ‘html’

difference(other_record, ignore_mimetypes=[], ignore_filenames=[])

Determine the difference between this computational experiment and another (code, platform, results, etc.).

Return a RecordDifference object.

next()

register(working_copy)

Record information about the environment.

run(with_label=False)

Launch the simulation or analysis.

with_label

adds the record label either to the parameter file (with_label=”parameters”) or to the end of the command line (with_label=”cmdline”), and appends the label to the datastore root. This allows the program being run to create files in a directory specific to this run.

valid_name_pattern = u'(?P<label>\\w+[\\w|\\-\\.:/\\s]*)'

class sumatra.records.RecordDifference(recordA, recordB, ignore_mimetypes=[], ignore_filenames=[])

Bases: future.types.newobject.newobject

Represents the difference between two Record objects.

code_differs

dependencies_differ

dependency_differences

ignore_filenames = [u'\\.log', u'^log']

ignore_mimetypes = []

input_data_differ

input_data_differences

launch_mode_differences

next()

output_data_differ

output_data_differences

parameter_differences