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.

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))