Add in your server :
It will store logs in a sub-folder logs/
of your
application.
If needed (in complex application), you can force dependencies in UI with :
Four modes are available:
store_json()
: store logs has separate JSON files (one
by session).store_rds()
: store logs has individually RDS files
(one by session).store_sqlite()
: store logs in a SQLite database.store_null()
: don’t write logs on disk, print them in
R console.store_custom()
: use a custom function to save logs
wherever you want.store_googledrive()
: store logs(as JSON files) in
Googledrive.On a server, if you want to save logs on disk, don’t forget to set write permission on the folder you want to save logs.
On RStudio Connect, you need to use an absolute path to specify the directory where to save logs. You can find more information here: Persistent Storage on RStudio Connect
With ShinyProxy, you can use
a Docker volume to write logs outside of the application container. In
application.yml
, you can something like this in the specs
describing the application:
container-volumes: [ "/var/log/shinylogs:/root/logs" ]
/var/log/shinylogs
is a directory on the server where
you deploy your applications with ShinyProxy. /root/logs
is
a directory inside your Docker image, it’s the path you can use in
track_usage()
, e.g. :
There’s no persistent data storage on shinyapps.io, so you can’t save
logs as JSON or RDS files, you have to use a remote storage method. You
can use the builtin method provided to send logs in Googledrive with
store_googledrive
or use store_custom
to send
logs wherever you want (dropbox, remote database, …).
To use Googledrive, you’ll need to work with Google’s API and set auth to your account, see {gargle} documentation for examples and how to.
Those data are metadata about the application and the user’s browser, here are the filed recorded :
Example:
#> app user server_connected sessionid
#> 1 iris-cluster dreamRs 2019-06-19 14:07:09 9815194cfaa6317fbea68ae9537d63d1
#> 2 iris-cluster dreamRs 2019-06-19 14:56:32 0feeacf3201f5cca088059cec2b0a710
#> 3 iris-cluster dreamRs 2019-06-19 14:57:45 8b12c138f159cc5805e136338dddac59
#> 4 iris-cluster dreamRs 2019-06-19 15:03:00 f3950a1588b78d45c53c756a4136df67
#> 5 iris-cluster dreamRs 2019-06-19 15:08:53 254cafb3d5866384f13022d066546cae
#> 6 iris-cluster dreamRs 2019-08-04 10:58:47 8a431f4b90b3b1926047dd2539be0793
#> server_disconnected
#> 1 2019-06-19 14:07:17
#> 2 2019-06-19 14:57:39
#> 3 2019-06-19 15:01:36
#> 4 2019-06-19 15:08:13
#> 5 2019-06-19 15:09:38
#> 6 2019-08-04 10:58:49
#> user_agent
#> 1 Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36
#> 2 Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36
#> 3 Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36
#> 4 Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36
#> 5 Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36
#> 6 <NA>
#> screen_res browser_res pixel_ratio browser_connected
#> 1 1920x1080 1574x724 1 2019-06-19 14:07:09
#> 2 1920x1080 1920x937 1 2019-06-19 14:56:32
#> 3 1920x1080 1920x937 1 2019-06-19 14:57:45
#> 4 1920x1080 1920x937 1 2019-06-19 15:03:00
#> 5 1920x1080 1920x937 1 2019-06-19 15:08:53
#> 6 <NA> <NA> NA <NA>
Data about inputs, by default all inputs are recorded (even those not define by developper, like with {htmlwidgets} : {DT}, {leaflet}, …)
Example:
#> sessionid name timestamp value
#> 1 9815194cfaa6317fbea68ae9537d63d1 xcol 2019-06-19 14:07:11 Sepal.Width
#> 2 9815194cfaa6317fbea68ae9537d63d1 clusters 2019-06-19 14:07:15 6
#> 3 9815194cfaa6317fbea68ae9537d63d1 clusters 2019-06-19 14:07:15 4
#> 4 9815194cfaa6317fbea68ae9537d63d1 clusters 2019-06-19 14:07:15 5
#> 5 9815194cfaa6317fbea68ae9537d63d1 clusters 2019-06-19 14:07:14 7
#> 6 9815194cfaa6317fbea68ae9537d63d1 clusters 2019-06-19 14:07:13 4
#> type binding
#> 1 <NA> shiny.selectInput
#> 2 shiny.number shiny.numberInput
#> 3 shiny.number shiny.numberInput
#> 4 shiny.number shiny.numberInput
#> 5 shiny.number shiny.numberInput
#> 6 shiny.number shiny.numberInput
Data recorded each time an output is refreshed :
Example:
#> sessionid name timestamp binding
#> 1 9815194cfaa6317fbea68ae9537d63d1 plot1 2019-06-19 14:07:15 shiny.imageOutput
#> 2 9815194cfaa6317fbea68ae9537d63d1 plot1 2019-06-19 14:07:15 shiny.imageOutput
#> 3 9815194cfaa6317fbea68ae9537d63d1 plot1 2019-06-19 14:07:14 shiny.imageOutput
#> 4 9815194cfaa6317fbea68ae9537d63d1 plot1 2019-06-19 14:07:15 shiny.imageOutput
#> 5 9815194cfaa6317fbea68ae9537d63d1 plot1 2019-06-19 14:07:11 shiny.imageOutput
#> 6 9815194cfaa6317fbea68ae9537d63d1 plot1 2019-06-19 14:07:10 shiny.imageOutput
Errors are recorded only when propagated through an output, this is the red message users see in application, infos saved are:
Example:
#> sessionid name timestamp
#> 1 f8f50a3743023aae7d0d6350a2fd6841 plot1 2019-06-19 14:07:18
#> error
#> 1 NA/NaN/Inf in foreign function call (arg 1)