Droplet¶
The Droplet
is a service container that gives you access to many of Vapor's facilities. It is responsible for registering routes, starting the server, appending middleware, and more.
Tip
Normally applications will only have one Droplet. However, for advanced use cases, it is possible to create more than one.
Initialization¶
As you have probably already seen, the only thing required to create an instance of Droplet
is to import Vapor.
import Vapor let drop = try Droplet() // your magic here try drop.run()
Creation of the Droplet
normally happens in the main.swift
file.
Note
For the sake of simplicity, most of the documentations sample code uses just the main.swift
file. You can read more about packages and modules in the Swift Package Manager conceptual overview.
Environment¶
The environment
is accessible via the config of the droplet.
It contains the current environment your application is running in. Usually development, testing, or production.
if drop.config.environment == .production { ... }
The environment affects Config and Logging. The environment is development
by default. To change it, pass the --env=
flag as an argument.
vapor run serve --env=production
If you are in Xcode, you can pass arguments through the scheme editor.
Warning
Debug logs can reduce the number of requests your application can handle per second. Enable production mode to silence non-critical logs.
Config Directory¶
The workDir
property contains a path to the current working directory of the application. Vapor uses this property to find the folders related to your project, such as Resources
, Public
, and Config
.
print(drop.config.workDir) // /var/www/my-project/
Vapor automatically determines the working directory in most situations. However, you may need to manually set it for advanced use cases.
You can override the working directory through the Droplet
's initializer, or by passing the --workdir
argument.
vapor run serve --workdir="/var/www/my-project"
Modifying Properties¶
The Droplet
's properties can be changed programmatically or through configuration.
Programmatic¶
Properties on the Droplet
are constant and can be overridden through the init method.
let drop = try Droplet(server: MyServerType.self)
Here the type of server the Droplet
uses is changed to a custom type. When the Droplet
is run, this custom server type will be booted instead of the default server.
Warning
Using the init method manually can override configured properties.
Configurable¶
If you want to modify a property of the Droplet
only in certain cases, you can use addConfigurable
. Say for example you want to email error logs to yourself in production, but you don't want to spam your inbox while developing.
let config = try Config() config.addConfigurable(log: MyEmailLogger.init, name: "email") let drop = Droplet(config)
The Droplet
will continue to use the default logger until you modify the Config/droplet.json
file to point to your email logger. If this is done in Config/production/droplet.json
, then your logger will only be used in production.
{ "log": "email" }
Supported Properties¶
Property | Type | droplet.json key |
Config Initializable |
---|---|---|---|
server | ServerProtocol.Type | server | no |
client | ClientProtocol.Type | client | no |
log | LogProtocol | log | yes |
hash | HashProtocol | hash | yes |
cipher | CipherProtocol | cipher | yes |
middleware | Middleware | middleware.[server,client] | no |
console | ConsoleProtocol | console | yes |
cache | CacheProtocol | cache | yes |
Example¶
Let's create a custom logger to demonstrate Vapor's configurable properties.
AllCapsLogger.swift
final class AllCapsLogger: LogProtocol { var enabled: [LogLevel] = [] func log(_ level: LogLevel, message: String, file: String, function: String, line: Int) { print(message.uppercased() + "!!!") } } extension AllCapsLogger: ConfigInitializable { convenience init(config: Config) throws { self.init() } }
Now add the logger to the Droplet using the addConfigurable
method for logs.
main.swift
let config = try Config() config.addConfigurable(log: AllCapsLogger.init, name: "all-caps") let drop = try Droplet(config)
Whenever the "log"
property is set to "all-caps"
in the droplet.json
, our new logger will be used.
Config/development/droplet.json
{ "log": "all-caps" }
Here we are setting our logger only in the development
environment. All other environments will use Vapor's default logger.
Config Initializable¶
For an added layer of convenience, you can allow your custom types to be initialized from configuration files.
In our previous example, we initialized an AllCapsLogger
before adding it to the Droplet.
Let's say we want to allow our project to configure how many exclamation points get added with each log message.
AllCapsLogger.swift
final class AllCapsLogger: LogProtocol { var enabled: [LogLevel] = [] let exclamationCount: Int init(exclamationCount: Int) { self.exclamationCount = exclamationCount } func log(_ level: LogLevel, message: String, file: String, function: String, line: Int) { print(message.uppercased() + String(repeating: "!", count: exclamationCount)) } } extension AllCapsLogger: ConfigInitializable { convenience init(config: Config) throws { let count = config["allCaps", "exclamationCount"]?.int ?? 3 self.init(exclamationCount: count) } }
Note
The first parameter to config
is the name of the file.
Now that we have conformed our logger to ConfigInitializable
, we can pass just the type name to addConfigurable
.
main.swift
let config = try Config() config.addConfigurable(log: AllCapsLogger.init, name: "all-caps") let drop = try Droplet(config)
Now if you add a file named allCaps.json
to the Config
folder, you can configure the logger.
allCaps.json
{ "exclamationCount": 5 }
With this configurable abstraction, you can easily change how your application functions in different environments without needing to hard code these values into your source code.