def fetch_and_prepare(self):
""" Uses AMICleaner to retrieve candidates AMI, map and reduce """
cleaner = AMICleaner()
mapped_amis = cleaner.map_candidates(
mapping_strategy=self.mapping_strategy)
if not mapped_amis:
return None
candidates = []
report = dict()
for group_name, amis in mapped_amis.iteritems():
group_name = group_name or ""
if not group_name:
report["no-tags (excluded)"] = amis
else:
reduced = cleaner.reduce_candidates(amis, self.keep_previous)
if reduced:
report[group_name] = reduced
candidates.extend(reduced)
Printer.print_report(report, self.full_report)
return candidates
def prepare_candidates(self, candidates_amis=None):
""" From an AMI list apply mapping strategy and filters """
candidates_amis = candidates_amis or self.fetch_candidates()
if not candidates_amis:
return None
c = AMICleaner()
mapped_amis = c.map_candidates(
candidates_amis=candidates_amis,
mapping_strategy=self.mapping_strategy,
)
if not mapped_amis:
return None
candidates = []
report = dict()
for group_name, amis in mapped_amis.iteritems():
group_name = group_name or ""
if not group_name:
report["no-tags (excluded)"] = amis
else:
reduced = c.reduce_candidates(amis, self.keep_previous)
if reduced:
report[group_name] = reduced
candidates.extend(reduced)
Printer.print_report(report, self.full_report)
return candidates
