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Diffstat (limited to 'wqflask/base/data_set/utils.py')
-rw-r--r-- | wqflask/base/data_set/utils.py | 77 |
1 files changed, 77 insertions, 0 deletions
diff --git a/wqflask/base/data_set/utils.py b/wqflask/base/data_set/utils.py new file mode 100644 index 00000000..0077c292 --- /dev/null +++ b/wqflask/base/data_set/utils.py @@ -0,0 +1,77 @@ +"data_set package utilities" + +import os +import json +import hashlib +from typing import List + + +from utility.tools import SQL_URI +from base.webqtlConfig import TMPDIR +from wqflask.database import parse_db_url, database_connection + +def geno_mrna_confidentiality(ob): + with database_connection() 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() 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] + 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 |