forked from agahkarakuzu/rrsg2020-dashboard
-
Notifications
You must be signed in to change notification settings - Fork 0
/
app.py
74 lines (62 loc) · 2.63 KB
/
app.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
import dash
import dash_bootstrap_components as dbc
import pandas as pd
from flask_caching import Cache
import os
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.CYBORG],
meta_tags=[
{"name": "viewport", "content": "width=device-width,height=device-height, initial-scale=1"}
],
suppress_callback_exceptions=True)
server = app.server
# TODO: Arrange for deployment
#cache = Cache(server, config={
# 'CACHE_TYPE': 'redis',
# Note that filesystem cache doesn't work on systems with ephemeral
# filesystems like Heroku.
# 'CACHE_TYPE': 'filesystem',
# 'CACHE_DIR': 'cache-directory',
# should be equal to maximum number of users on the app at a single time
# higher numbers will store more data in the filesystem / redis cache
# 'CACHE_THRESHOLD': 2
# })
cache = Cache()
cache_servers = os.environ.get('MEMCACHIER_SERVERS')
if cache_servers == None:
# Fall back to simple in memory cache (development)
cache.init_app(server, config={'CACHE_TYPE': 'simple'})
else:
cache_user = os.environ.get('MEMCACHIER_USERNAME') or ''
cache_pass = os.environ.get('MEMCACHIER_PASSWORD') or ''
cache.init_app(server,
config={'CACHE_TYPE': 'saslmemcached',
'CACHE_MEMCACHED_SERVERS': cache_servers.split(','),
'CACHE_MEMCACHED_USERNAME': cache_user,
'CACHE_MEMCACHED_PASSWORD': cache_pass,
'CACHE_OPTIONS': { 'behaviors': {
# Faster IO
'tcp_nodelay': True,
# Keep connection alive
'tcp_keepalive': True,
# Timeout for set/get requests
'connect_timeout': 2000, # ms
'send_timeout': 750 * 1000, # us
'receive_timeout': 750 * 1000, # us
'_poll_timeout': 2000, # ms
# Better failover
'ketama': True,
'remove_failed': 1,
'retry_timeout': 2,
'dead_timeout': 30}}})
def get_dataframe(session_id):
@cache.memoize()
def query_and_serialize_data(session_id):
phan_df = pd.read_pickle('databases/3T_NIST_T1maps_database.pkl')
return phan_df.to_json()
return pd.read_json(query_and_serialize_data(session_id))
def get_dataframe_brain(session_id):
@cache.memoize()
def query_and_serialize_data(session_id):
brain_df = pd.read_pickle('databases/3T_human_T1maps_database.pkl')
return brain_df.to_json()
return pd.read_json(query_and_serialize_data(session_id))