Warning: currently pre-release and subject to frequent breaking changes. Use at your own risk.
Core package of Faro.
The entire architecture of the library is contained within this package. Out of the box, it doesn't collect any signals, but it provides the API to do it as well as multiple helper methods.
import { initializeFaro } from '@grafana/faro-core';
initializeFaro({
// ...
});
Faro Web SDK requires a configuration object parameter with the following properties:
Property | Description | Type | Default Value Variable |
---|---|---|---|
app |
Application metadata | App |
|
dedupe |
A flag for toggling deduplication filter | boolean |
|
globalObjectKey |
String that should be used when defining the Faro instance property on the global object | string |
defaultGlobalObjectKey = 'faro' |
instrumentations |
Array of instrumentations that should be ran | Instrumentation[] |
|
internalLoggerLevel |
The level of information printed to console for internal messages | InternalLoggerLevel |
defaultInternalLoggerLevel = InternalLoggerLevel.ERROR |
isolate |
A flag that will create an isolated Faro instance | boolean |
|
metas |
Array of metas that should be logged | MetaItem[] |
|
parseStacktrace |
A function used to parse stack traces | StacktraceParser |
|
paused |
Flag for initializing the Faro instance as paused | boolean |
|
preventGlobalExposure |
Flag for toggling the definition on the global object | boolean |
|
transports |
Array of transports that should be used | Transport[] |
|
batching.enabled |
Enable batch sending of events | boolean |
true |
batching.sendTimeout |
The interval in which to send event batches | number |
250 |
batching.itemLimit |
The size of the signal buffer before the batch is sent (overrides interval) | number |
50 |
Besides the mandatory properties, Faro configuration also supports the following optional properties:
Property | Description | Type | Default Value |
---|---|---|---|
beforeSend |
Hook invoked before pushing event to transport. Can be used to modify or filter events | BeforeSendHook |
undefined |
eventDomain |
event.domain attribute of an event, to be set on every event item as default | string |
undefined |
ignoreErrors |
Error message patterns for errors that should be ignored | Patterns |
[] |
ignoreUrls |
Path patterns for Endpoints that should be ignored form being tracked. | Patterns |
[] |
logArgsSerializer |
A function used to serialize log arguments | LogArgsSerializer |
undefined |
session |
Session metadata | Session |
undefined |
user |
User metadata | User |
undefined |
view |
View metadata | View |
undefined |
Faro instance is an object which can be accessed by either importing it from the package or by referencing it from the
global object (window
in browsers and global
in Node.js).
// Browser/Node.js
import { faro } from '@grafana/faro-core';
faro.api.pushLog(/* ... */);
// Browser
window.faro.api.pushLog(/* ... */);
// Node.js
global.faro.api.pushLog(/* ... */);
The api
property on the Faro instance contains all the necessary methods to push new events.
-
pushError
- is a method to push an error/exception to the Faro instance. It accepts a mandatorymessage
parameter and an optional one where you can set:-
skipDedupe
- a flag for enforcing error push even if the error is identical to the previous one. -
stackFrames
- an array of stack frames. Defaults to parsingerror.stack
if present. -
type
- the type of exception. Default value:error.name
or"error"
.
faro.api.pushError(new Error('This is an error')); faro.api.pushError(new Error('This is an unhandled exception'), { skipDedupe: true }); faro.api.pushError(new Error('This is an unhandled exception'), { type: 'unhandledException' }); faro.api.pushError(new Error('This is an error with stack frames'), { stackFrames: [ { filename: 'file.js', function: 'myFunction', colno: 120, lineno: 80, }, ], }); faro.api.pushError(new Error('This is a log with context'), { context: { message: 'React error boundary', componentStackTrace: {...} }, });
-
-
pushEvent
- is a method to push an event to the Faro instance. It accepts a mandatoryname
parameter and a couple of optional parameters.The first optional parameter is called
attributes
and it is a key-value object where you can set additional properties for your event.The second optional parameter is called
domain
and it is a string that's used to group events together.The third optional parameter is an optional
options
object where you can set:-
skipDedupe
- a flag for enforcing event push even if the event is identical to the previous one.
faro.api.pushEvent('user-logged-in'); faro.api.pushEvent('user-logged-in', { username: 'the-user-id' }); faro.api.pushEvent('user-logged-in', { username: 'the-user-id' }, 'auth'); faro.api.pushEvent('user-logged-in', { username: 'the-user-id' }, 'auth', { skipDedupe: true });
-
-
pushLog
- is a method to register a log event. The method accepts a mandatoryargs
parameter which is an array of arguments that will be stringified and sent to the transports and an optional one where you can set:-
skipDedupe
- a flag for enforcing log push even if the log is identical to the previous one. -
logLevel
- the type of message that we register. -
context
- a plain object containing primitive values that will be recorded along with the message.
faro.api.pushLog(['This is a log', 'With another message']); faro.api.pushLog(['This is a log'], { skipDedupe: true }); faro.api.pushLog(['This is a warning'], { level: LogLevel.WARN }); faro.api.pushLog(['This is a log with context'], { context: { randomNumber: Math.random(), }, });
-
-
pushMeasurement
- is a method for registering metrics. The method accepts a mandatorypayload
parameter and an optional parameter for passing additional options:-
skipDedupe
- a flag for enforcing measurement push even if the measurement is identical to the previous one.
faro.api.pushMeasurement({ type: 'custom', values: { my_custom_metric: Math.random(), }, }); faro.api.pushMeasurement( { type: 'custom', values: { my_custom_metric: Math.random(), }, }, { skipDedupe: true } ); faro.api.pushMeasurement( { type: 'custom', values: { my_custom_metric: Math.random(), }, }, { context: { hello: 'world' } } );
-
-
pushTraces
- is a method for manually sending traces through the transports. The method only accepts a mandatorypayload
.faro.api.pushTraces({ resourceSpans: [ /* OTel Traces */ ], });
-
getOTEL
- is a method for getting the OpenTelemetry instance used by Faro.const otel = faro.api.getOTEL();
-
isOTELInitialized
- is a method for checking if OpenTelemetry package was correctly initialized and there is an OpenTelemetry instance used by Faro.const isInitialized = faro.api.isOTELInitialized();
Instrumentations are packages that leverage the Faro Web SDK API to provide automatic mechanisms for collecting data. They are just simple functions that are executed when the agent is initialized.
Please note that the core
package does not contain any instrumentations out of the box and they should be provided by
platform specific packages like @grafana/faro-web-sdk.
You can also write your own instrumentations:
import { initializeFaro, BaseInstrumentation } from '@grafana/faro-core';
export class MyInstrumentation extends BaseInstrumentation {
readonly version = '1.0.0';
readonly name = 'my-instrumentation';
initialize(): void {
this.faro.api.pushLog(['hello from my instrumentation']);
}
}
initializeFaro({
// ...
instrumentations: [new MyInstrumentation()],
});
Metas are objects that will be attached to every event that is triggered by the API.
Out of the box, only one meta is provided: sdk
which contains information about the Faro instance and its version.
Additional metas may be provided by platform packages like @grafana/faro-web-sdk.
You can also define your own metas:
import { initializeFaro } from '@grafana/faro-core';
initializeFaro({
metas: [
// Define a static meta
{
app: {
name: 'my-app',
version: '1.0.0',
},
},
// Define a meta which caches some values on initialization
() => {
return {
user: {
username: getUser().name,
},
};
},
],
});
Transports are functions that will be called for every event that is triggered by the API. They are used to do something with the data after collecting it.
Out of the box, no transports are provided in the core
package and they should be provided by platform specific
packages like @grafana/faro-web-sdk.
You can also define your own transports:
import { initializeFaro, BaseTransport, TransportItem } from '@grafana/faro-core';
class MyTransport extends BaseTransport {
send(item: TransportItem) {
// do something with paylaod
}
}
initializeFaro({
transports: [new MyTransport()],
});
The transports also support batch processing wiht the batchEnabled
flag set to true
and a positive, non zero batchSendTimeout
. The batch executor will group items that share the same metas
together
and call the send
function for each group of signals.
Currently the Transport interface supports implementations of the send
function that accept either a TransportItem
or an array of them. The latter is useful when you want to batch process signals with your custom transport. In order
to achieve this, you should override the isBatched
method of the BaseTransport.
export class MyTransport extends BaseTransport {
async send(item: TransportItem): Promise<void> {
// do something with the item
}
}
/* should be */
export class MyBatchedTransport extends BaseTransport {
async send(items: TransportItem[]): Promise<void> {
// do something with the array of items
// all of them share the same metas
}
// This is required for the transports layer to differentiate
// between the two types of Transport implementations
override isBatched(): boolean {
return true;
}
}
Some instrumentations might override the default console methods but Faro instance provides a way to access the unmodified console methods.
faro.unpatchedConsole.log('This is a log');
faro.unpatchedConsole.warn('This is a warning');
Faro instance can be paused by invoking faro.pause()
. This will prevent events from being sent to transports. Call
faro.unpause()
to resume capturing events.
Sometimes you may want to create one or more isolated Faro instances. For example:
- you want to bundle Faro in a reusable library and report certain events only for it while the project where the library is used has its own Faro instance
- you want to log certain events in one system while other events in other systems
- E2E libraries that may create multiple Faro instances without refreshing the page
In order to achieve this, you can use the isolate
flag when initializing the agent:
// faro 1 will be isolated
const faro1 = initializeFaro({
// ...
isolate: true,
});
// globalFaro will be available globally
const globalFaro = initializeFaro({
// ...
isolate: false,
});
// another isolated Faro instance
const faro2 = initializeFaro({
// ...
isolate: true,
});
Although an isolated agent may sound like a great idea, there are some limitations which apply to them:
- some instrumentations will still register globally (i.e. exceptions instrumentation or console instrumentation)
- an isolated Faro instance will not be available on the global object
- the Faro reference should be stored by the project as it won't be available via
import { faro } from '@grafana/faro-core';