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The purpose of the config
package is to respond to
environment variables that could be set to different values on different
machines. Specifically, config reacts to the value of
R_CONFIG_ACTIVE
, and this allows you to set configurations
for different machines, e.g. in dev or production.
If you deploy your code to a Posit Connect instance, then you can use
the fact that Connect sets the value of R_CONFIG_ACTIVE
to
rsconnect
.
This means you can create a configuration file using the value
rsconnect
, for example:
config.yml
Note: this value can be configured by your system administrator, so check your own system configuration! See https://docs.posit.co/connect/admin/appendix/configuration/#R.ConfigActive for detail.
Many customers of Posit Connect will have separate Connect instances for the purposes of separating staging and production.
In this case, the system administrator needs to configure the
R_CONFIG_ACTIVE
environment variable to have different
values on each machine. For example:
rsconnect-staging
rsconnect-prod
Using these example values, you could configure the
config.yml
file to look like this:
config.yml
default:
trials: 5
dataset: "data-sampled.csv"
rsconnect:
trials: 30
rsconnect-staging:
inherits: rsconnect
dataset: "data-staging.csv"
rsconnect-prod:
inherits: rsconnect
dataset: "data.csv"
Note that this configuration uses the inheritance of
config
yaml files, by having a common configuration for
rsconnect
and staging and prod configurations that inherit
from the rsconnect
configuration.
You may have the use case that you use the same Connect instance to host two instances of your app, for staging (test) and production.
In this use case you will soon run into the problem that an
individual user can not change the the environment variable
R_CONFIG_ACTIVE
, since this is configured system-wide by
the administrator.
But you can still use config
to set different values for
staging and prod, by changing the environment variable that
config::get()
looks at.
Specifically, you must specify a different config
argument to config::get()
. For example, you can create a
new environment variable for your Connect app, called
R_CONFIG_ACTIVE_APP
, and then use
config::get()
like this:
R
Again, this example utilizes the inheritance of config
yaml files, by having a common configuration for rsconnect
and staging and prod configurations that inherit from the
rsconnect
configuration.
In such a case, you may have a config.yml
file like
this:
config.yml
default:
trials: 5
dataset: "data-sampled.csv"
rsconnect:
trials: 30
staging:
inherits: rsconnect
dataset: "data-staging.csv"
prod:
inherits: rsconnect
dataset: "data.csv"
If you configure the environment variable correctly, you should get
the appropriate dataset
values for staging
(data-staging.csv
) and prod (data.csv
):
R
If you are in the situation where you wish to use a different
environment variable, you can potentially save a few keystrokes by
defining a utility function that wraps around
config::get()
. Such a utility simply passes a different
value for the config
argument, like this:
cfg_get_app <- function (
value = NULL,
config = Sys.getenv("R_CONFIG_ACTIVE_APP", "default"),
...
) {
config::get(value = value, config = config, ...)
}
You can then call this function from your app:
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.