class MeuhEngine(object):
# Preferably, use 'with' to ensure proper cleanup at the end
def __enter__(self):
return self
def __exit__(self, type, value, traceback):
self.cleanup()
def __init__(self, config, dwca):
"""Initialize Meuh engine for a given config object and DwC-A
config: object
dwca: open file
"""
self.dwca = DwCAReader(dwca)
# Parse config
self.assessments = AssessmentList(config['assessments'], self.dwca)
def run(self, log_stream):
"""Executes all the tests on the target DwC-A, according to the configuration.
Progress is logged on log_stream so the user isn't left in the dark in case it's long.
Report is returned upon completion.
"""
r = MeuhReport()
log_stream.write('Engine running...\n')
r.log_start_time()
log_stream.write('Applicable assessments:\n')
applicable = self.assessments.applicable
r.log_applicable_assessments(applicable)
log_stream.write("Applicable: {ass}\n".format(ass=applicable))
non_applicable = self.assessments.non_applicable
log_stream.write("Non-applicable: {ass}\n".format(ass=non_applicable))
r.log_unapplicable_assessments(non_applicable)
log_stream.write('1. Testing metadata\n')
# TODO: Implement
log_stream.write('2. Testing each line of archive...\n')
lines_assessments = self.assessments.applicable_for_each_line
log_stream.write("The following assessments will be executed for each line: {ass}\n".format(ass=lines_assessments))
for line in self.dwca.each_line():
log_stream.write('.')
for a in lines_assessments:
a.assess_line(line)
# Assemble results
for a in applicable:
r.store_assessment_log(a, a.logger)
log_stream.write('\nEngine finished execution.\n')
r.log_end_time()
return r
def cleanup(self):
self.dwca.close()
