def _make_deploy_metadata(self, task_key=None):
pblm = self.pblm
if pblm.samples is None:
pblm.setup()
if task_key is None:
task_key = pblm.primary_task_key
# task_keys = list(pblm.samples.supported_tasks())
clf_key = pblm.default_clf_key
data_key = pblm.default_data_key
# Save the classifie
data_info = pblm.feat_extract_info[data_key]
feat_extract_config, feat_dims = data_info
samples = pblm.samples
labels = samples.subtasks[task_key]
edge_hashid = samples.edge_set_hashid()
label_hashid = samples.task_label_hashid(task_key)
tasksamp_hashid = samples.task_sample_hashid(task_key)
annot_hashid = ut.hashid_arr(samples._unique_annots.visual_uuids,
'annots')
# species = pblm.infr.ibs.get_primary_database_species(
# samples._unique_annots.aid)
species = '+'.join(sorted(set(samples._unique_annots.species)))
metadata = {
'tasksamp_hashid': tasksamp_hashid,
'edge_hashid': edge_hashid,
'label_hashid': label_hashid,
'annot_hashid': annot_hashid,
'class_hist': labels.make_histogram(),
'class_names': labels.class_names,
'data_info': data_info,
'task_key': task_key,
'species': species,
'data_key': data_key,
'clf_key': clf_key,
'n_dims': len(feat_dims),
# 'aid_pairs': samples.aid_pairs,
}
meta_cfgstr = ut.repr2(metadata, kvsep=':', itemsep='', si=True)
hashid = ut.hash_data(meta_cfgstr)[0:16]
deploy_fname = self.fname_fmtstr.format(hashid=hashid, **
metadata) + '.cPkl'
deploy_metadata = metadata.copy()
deploy_metadata['hashid'] = hashid
deploy_metadata['fname'] = deploy_fname
return deploy_metadata, deploy_fname
def _make_cfgstr(extr, edges):
ibs = extr.ibs
edge_uuids = ibs.unflat_map(ibs.get_annot_visual_uuids, edges)
edge_hashid = ut.hashid_arr(edge_uuids, 'edges')
_cfg_lbl = ut.partial(ut.repr2, si=True, itemsep='', kvsep=':')
match_configclass = ibs.depc_annot.configclass_dict['pairwise_match']
cfgstr = '_'.join([
edge_hashid,
_cfg_lbl(extr.match_config),
_cfg_lbl(extr.pairfeat_cfg),
'global(' + _cfg_lbl(extr.global_keys) + ')',
'pairwise_match_version=%r' % (match_configclass().version,)
])
return cfgstr