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-rw-r--r--wqflask/maintenance/quantile_normalize.py27
1 files changed, 13 insertions, 14 deletions
diff --git a/wqflask/maintenance/quantile_normalize.py b/wqflask/maintenance/quantile_normalize.py
index 32780ca6..2e2b0ec3 100644
--- a/wqflask/maintenance/quantile_normalize.py
+++ b/wqflask/maintenance/quantile_normalize.py
@@ -1,6 +1,5 @@
import sys
sys.path.insert(0, './')
-import MySQLdb
import urllib.parse
import numpy as np
@@ -9,6 +8,7 @@ import pandas as pd
from flask import Flask, g, request
from wqflask import app
+from wqflask.database import database_connection
def parse_db_uri():
@@ -52,7 +52,7 @@ def quantileNormalize(df_input):
return df
-def set_data(dataset_name):
+def set_data(cursor, dataset_name):
orig_file = "/home/zas1024/cfw_data/" + dataset_name + ".txt"
sample_list = []
@@ -80,8 +80,8 @@ def set_data(dataset_name):
ProbeSetFreeze.Id = ProbeSetXRef.ProbeSetFreezeId and
ProbeSetXRef.ProbeSetId = ProbeSet.Id and
ProbeSet.Name = '%s'""" % (dataset_name, line1.split('\t')[0])
- Cursor.execute(query)
- result_info = Cursor.fetchone()
+ cursor.execute(query)
+ result_info = cursor.fetchone()
yield {
"_index": "traits",
@@ -99,15 +99,14 @@ def set_data(dataset_name):
if __name__ == '__main__':
- Conn = MySQLdb.Connect(**parse_db_uri())
- Cursor = Conn.cursor()
+ with database_connection as conn:
+ with conn.cursor as cursor:
+ success, _ = bulk(es, set_data(cursor, sys.argv[1]))
- success, _ = bulk(es, set_data(sys.argv[1]))
-
- response = es.search(
- index="traits", doc_type="trait", body={
- "query": {"match": {"name": "ENSMUSG00000028982"}}
- }
- )
+ response = es.search(
+ index="traits", doc_type="trait", body={
+ "query": {"match": {"name": "ENSMUSG00000028982"}}
+ }
+ )
- print(response)
+ print(response)