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authorMunyoki Kilyungi2022-08-30 11:36:58 +0300
committerBonfaceKilz2022-08-31 23:14:30 +0300
commit9d0f492d8a999c1a3eb6525b0ae72bbbcaad4279 (patch)
tree8bfce7520ce59eb5950f7b1ed7783872344793bf /wqflask/base
parent8c06a9534d3340ff0287b5c70f63b2000b6eb612 (diff)
downloadgenenetwork2-9d0f492d8a999c1a3eb6525b0ae72bbbcaad4279.tar.gz
Remove "with Bench ..." calls
"with Bench" instruments how long a function takes and generates time reports on as INFO logs. This should be done on a developer server. Should the log level be low enough, this bench marks will generate a lot of noise. Instrumentation should be done during development. * wqflask/base/data_set.py (create_datasets_list): Remove "with Bench...". * wqflask/db/call.py (fetchone): Ditto. (fetchall): Ditto. (gn_server): Ditto. * wqflask/wqflask/gsearch.py (GSearch.__init__): Ditto. * wqflask/wqflask/marker_regression/display_mapping_results.py (DisplayMappingResults.__init__): Ditto. * wqflask/wqflask/marker_regression/run_mapping.py (RunMapping.__init__): Ditto. * wqflask/wqflask/update_search_results.py (GSearch.__init__): Ditto. * wqflask/wqflask/views.py (search_page): Ditto. (heatmap_page): Ditto. (mapping_results_page): Ditto.
Diffstat (limited to 'wqflask/base')
-rw-r--r--wqflask/base/data_set.py20
1 files changed, 9 insertions, 11 deletions
diff --git a/wqflask/base/data_set.py b/wqflask/base/data_set.py
index 8206b67c..33e6f353 100644
--- a/wqflask/base/data_set.py
+++ b/wqflask/base/data_set.py
@@ -32,7 +32,6 @@ from maintenance import get_group_samplelists
from utility.tools import locate, locate_ignore_error, flat_files
from utility import gen_geno_ob
from utility import chunks
-from utility.benchmark import Bench
from utility import webqtlUtil
from db import webqtlDatabaseFunction
from base import species
@@ -201,16 +200,15 @@ def create_datasets_list():
if result is None:
datasets = list()
- with Bench("Creating DataSets object"):
- type_dict = {'Publish': 'PublishFreeze',
- 'ProbeSet': 'ProbeSetFreeze',
- 'Geno': 'GenoFreeze'}
-
- for dataset_type in type_dict:
- query = "SELECT Name FROM {}".format(type_dict[dataset_type])
- for result in fetchall(query):
- dataset = create_dataset(result.Name, dataset_type)
- datasets.append(dataset)
+ type_dict = {'Publish': 'PublishFreeze',
+ 'ProbeSet': 'ProbeSetFreeze',
+ 'Geno': 'GenoFreeze'}
+
+ for dataset_type in type_dict:
+ query = "SELECT Name FROM {}".format(type_dict[dataset_type])
+ for result in fetchall(query):
+ dataset = create_dataset(result.Name, dataset_type)
+ datasets.append(dataset)
if USE_REDIS:
r.set(key, pickle.dumps(datasets, pickle.HIGHEST_PROTOCOL))