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authorzsloan2019-11-05 13:25:02 -0600
committerzsloan2019-11-05 13:25:02 -0600
commit2a4972137fde9a94fcaf59fc1a64a816d0a72f50 (patch)
treee6a60f60565c3e0345e75045b3d5933df306fa1a /wqflask
parent28728a489f89e70eac6d7a30ffb5174641e79063 (diff)
downloadgenenetwork2-2a4972137fde9a94fcaf59fc1a64a816d0a72f50.tar.gz
Fixed issue with ordering items in correlation dataset select dropdown
Diffstat (limited to 'wqflask')
-rw-r--r--wqflask/base/data_set.py14
1 files changed, 12 insertions, 2 deletions
diff --git a/wqflask/base/data_set.py b/wqflask/base/data_set.py
index 16720656..d9b7f668 100644
--- a/wqflask/base/data_set.py
+++ b/wqflask/base/data_set.py
@@ -418,7 +418,8 @@ def datasets(group_name, this_group = None):
WHERE PublishFreeze.InbredSetId = InbredSet.Id
and InbredSet.Name = '%s'
and PublishFreeze.public > %s
- and PublishFreeze.confidentiality < 1)
+ and PublishFreeze.confidentiality < 1
+ ORDER BY PublishFreeze.Id ASC)
UNION
(SELECT '#GenoFreeze',GenoFreeze.FullName,GenoFreeze.Name
FROM GenoFreeze, InbredSet
@@ -442,12 +443,21 @@ def datasets(group_name, this_group = None):
sorted_results = sorted(the_results, key=lambda kv: kv[0])
+ pheno_inserted = False #ZS: This is kind of awkward, but need to ensure Phenotypes show up before Genotypes in dropdown
+ geno_inserted = False
for dataset_item in sorted_results:
tissue_name = dataset_item[0]
dataset = dataset_item[1]
dataset_short = dataset_item[2]
if tissue_name in ['#PublishFreeze', '#GenoFreeze']:
- dataset_menu.append(dict(tissue=None, datasets=[(dataset, dataset_short)]))
+ if tissue_name == '#PublishFreeze' and (dataset_short == group_name + 'Publish'):
+ dataset_menu.insert(0, dict(tissue=None, datasets=[(dataset, dataset_short)]))
+ pheno_inserted = True
+ elif pheno_inserted and tissue_name == '#GenoFreeze':
+ dataset_menu.insert(1, dict(tissue=None, datasets=[(dataset, dataset_short)]))
+ geno_inserted = True
+ else:
+ dataset_menu.append(dict(tissue=None, datasets=[(dataset, dataset_short)]))
else:
tissue_already_exists = False
for i, tissue_dict in enumerate(dataset_menu):