These are mostly my rough notes on the process I followed to migrate my NightScout site from Heroku to Render.
They have not been rigorously tested or attempted more than the one time I migrated.
I'm using NightScout with a Dexcom setup. I have no idea if these instructions will work for any other CGM setup.
| use_debug false | |
| use_bpm 130 | |
| # Our mixer! | |
| master = (ramp *range(0, 1, 0.01)) | |
| kick_volume = 1 | |
| bass_volume = 1 | |
| revbass_volume = 1 | |
| snare_volume = 0.5 | |
| hats_volume = 0.5 |
| from oauth2client.client import flow_from_clientsecrets | |
| from oauth2client.django_orm import Storage | |
| from oauth2client import xsrfutil | |
| from django.conf import settings | |
| from django.views.decorators.csrf import csrf_protect | |
| from .models import GoogleCredentialsModel | |
| from apiclient.discovery import build | |
| import os, logging, httplib2, json, datetime | |
| import gdata.spreadsheets.client |
| makeglm <- function(formula, ..., family, data=NULL) { | |
| dots <- list(...) | |
| out<-list() | |
| tt <- terms(formula, data=data) | |
| if(!is.null(data)) { | |
| mf <- model.frame(tt, data) | |
| vn <- sapply(attr(tt, "variables")[-1], deparse) | |
| if((yvar <- attr(tt, "response"))>0) | |
| vn <- vn[-yvar] |
L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns
Compress 1K bytes with Zippy ............. 3,000 ns = 3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns = 20 µs
SSD random read ........................ 150,000 ns = 150 µs
Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs