1 files changed, 0 insertions, 80 deletions
diff --git a/wqflask/base/data_set/utils.py b/wqflask/base/data_set/utils.py
deleted file mode 100644
index d18180c4..00000000
--- a/wqflask/base/data_set/utils.py
+++ /dev/null
@@ -1,80 +0,0 @@
-"data_set package utilities"
-
-import datetime
-import os
-import json
-import hashlib
-from typing import List
-
-
-from utility.tools import get_setting, SQL_URI
-from base.webqtlConfig import TMPDIR
-from wqflask.database import parse_db_url, database_connection
-
-def geno_mrna_confidentiality(ob):
-    with database_connection(get_setting("SQL_URI")) as conn, conn.cursor() as cursor:
-        cursor.execute(
-            "SELECT confidentiality, "
-            f"AuthorisedUsers FROM {ob.type}Freeze WHERE Name = %s",
-            (ob.name,)
-        )
-        result = cursor.fetchall()
-        if len(result) > 0 and result[0]:
-            return True
-
-def query_table_timestamp(dataset_type: str):
-    """function to query the update timestamp of a given dataset_type"""
-
-    # computation data and actions
-    with database_connection(get_setting("SQL_URI")) as conn, conn.cursor() as cursor:
-        fetch_db_name = parse_db_url(SQL_URI)
-        cursor.execute(
-            "SELECT UPDATE_TIME FROM "
-            "information_schema.tables "
-            f"WHERE TABLE_SCHEMA = '{fetch_db_name[3]}' "
-            f"AND TABLE_NAME = '{dataset_type}Data'")
-        date_time_obj = cursor.fetchone()[0]
-        if not date_time_obj:
-            date_time_obj = datetime.datetime.now()
-        return date_time_obj.strftime("%Y-%m-%d %H:%M:%S")
-
-
-def generate_hash_file(dataset_name: str, dataset_type: str, dataset_timestamp: str, samplelist: str):
-    """given the trait_name generate a unique name for this"""
-    string_unicode = f"{dataset_name}{dataset_timestamp}{samplelist}".encode()
-    md5hash = hashlib.md5(string_unicode)
-    return md5hash.hexdigest()
-
-
-def cache_dataset_results(dataset_name: str, dataset_type: str, samplelist: List, query_results: List):
-    """function to cache dataset query results to file
-    input dataset_name and type query_results(already processed in default dict format)
-    """
-    # data computations actions
-    # store the file path on redis
-
-    table_timestamp = query_table_timestamp(dataset_type)
-    samplelist_as_str = ",".join(samplelist)
-
-    file_name = generate_hash_file(dataset_name, dataset_type, table_timestamp, samplelist_as_str)
-    file_path = os.path.join(TMPDIR, f"{file_name}.json")
-
-    with open(file_path, "w") as file_handler:
-        json.dump(query_results, file_handler)
-
-
-def fetch_cached_results(dataset_name: str, dataset_type: str, samplelist: List):
-    """function to fetch the cached results"""
-
-    table_timestamp = query_table_timestamp(dataset_type)
-    samplelist_as_str = ",".join(samplelist)
-
-    file_name = generate_hash_file(dataset_name, dataset_type, table_timestamp, samplelist_as_str)
-    file_path = os.path.join(TMPDIR, f"{file_name}.json")
-    try:
-        with open(file_path, "r") as file_handler:
-
-            return json.load(file_handler)
-
-    except Exception:
-        pass