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Improve PEP8 compliance

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This commit is contained in:
Corder Guy 2018-04-17 15:40:51 -05:00
parent cd040dfd89
commit 2502d9c7f4
1 changed files with 15 additions and 7 deletions
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14
mocha_server.py
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@ -2,6 +2,7 @@
''' '''
Handle API requests to the database Handle API requests to the database
''' '''
import json import json
import sqlite3 import sqlite3
from os import path from os import path
@ -13,6 +14,7 @@ if not path.exists(DATABASE):
# TODO: Add fetching of top N users by score # TODO: Add fetching of top N users by score
# TODO: Add ability to store and retrieve avatars (as image files?) # TODO: Add ability to store and retrieve avatars (as image files?)
def fetch_users(user_ids): def fetch_users(user_ids):
''' '''
Gets a list of users searching by name. Gets a list of users searching by name.
@ -39,9 +41,12 @@ def fetch_users(user_ids):
def get_top_n(search_parameter, desc, num): def get_top_n(search_parameter, desc, num):
''' '''
In progress. In progress.
Currently the query seems to work, but returning a dict does not preserve order. Currently the query seems to work, but returning a dict does not
preserve order.
Store an orderd id list and put that in the json? Store an orderd id list and put that in the json?
Alternatively, sort on the client-side.
''' '''
conn = sqlite3.connect(DATABASE) conn = sqlite3.connect(DATABASE)
conn.row_factory = sqlite3.Row conn.row_factory = sqlite3.Row
@ -54,7 +59,7 @@ def get_top_n(search_parameter, desc, num):
(search_parameter, num)) (search_parameter, num))
output = cursor.fetchall() output = cursor.fetchall()
#print(output) # print(output)
output = json.dumps([dict(row) for row in output]) output = json.dumps([dict(row) for row in output])
conn.commit() conn.commit()
@ -78,7 +83,10 @@ def update_row(_user_id, _updated_username):
def insert_row(user_id, username): def insert_row(user_id, username):
''' '''
Inserts a row for a NEW user with given parameters Inserts a row for a NEW user with given parameters
This may work better with AUTOINCREMENT to avoid arbitrary ids and duplicates This may work better with AUTOINCREMENT to avoid arbitrary ids and
duplicates.
Alternatively, use randomized unique IDs.
''' '''
conn = sqlite3.connect(DATABASE) conn = sqlite3.connect(DATABASE)