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authorAlexander_Kabui2022-08-16 12:26:35 +0300
committerAlexander_Kabui2022-08-16 12:26:35 +0300
commit56928f087caaa7021a34a1186d0316a9e35e3e9c (patch)
treed79598c9a8bb9c9fef80ef6781170fcefe5a5edc
parentfa8ef3e466e3919648e1d4cf9c38ed30328fc7a6 (diff)
downloadgenenetwork2-56928f087caaa7021a34a1186d0316a9e35e3e9c.tar.gz
remove flask g object
-rw-r--r--wqflask/wqflask/correlation/rust_correlation.py11
1 files changed, 8 insertions, 3 deletions
diff --git a/wqflask/wqflask/correlation/rust_correlation.py b/wqflask/wqflask/correlation/rust_correlation.py
index 2a2ad4a0..ce1b5fda 100644
--- a/wqflask/wqflask/correlation/rust_correlation.py
+++ b/wqflask/wqflask/correlation/rust_correlation.py
@@ -1,7 +1,6 @@
"""module contains integration code for rust-gn3"""
import json
from functools import reduce
-from flask import g
from utility.db_tools import mescape
from utility.db_tools import create_in_clause
from wqflask.correlation.correlation_functions import get_trait_symbol_and_tissue_values
@@ -29,8 +28,12 @@ def chunk_dataset(dataset,steps,name):
ProbeSetXRef.ProbeSetId = ProbeSet.Id
""".format(name)
- traits_name_dict = dict(g.db.execute(query).fetchall())
+ with database_connector() as conn:
+ curr = conn.cursor()
+ curr.execute(query)
+
+ traits_name_dict = curr.fetchall()
for i in range(0, len(dataset), steps):
matrix = list(dataset[i:i + steps])
@@ -45,7 +48,7 @@ def chunk_dataset(dataset,steps,name):
def compute_top_n_sample(start_vars, dataset, trait_list):
"""check if dataset is of type probeset"""
- if dataset.type!= "Probeset":
+ if dataset.type.lower()!= "probeset":
return {}
def __fetch_sample_ids__(samples_vals, samples_group):
@@ -248,6 +251,8 @@ def compute_correlation_rust(
top_a = top_b = {}
+ compute_all = True
+
if compute_all:
if corr_type == "sample":