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fwsp-logger

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fwsp-logger

Provides logging via pino, and transport to elasticsearch

  • 0.2.0
  • Source
  • npm
  • Socket score

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21
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Logger npm version

Summary

Provides a pino logger that ships its logs to elasticsearch via pino-elasticsearch.

Usage

Run npm install -g pino-elasticsearch to install the elasticsearch transport module.

See Configuration for details on the logger plugin config options.

Use the HydraExpressLogger plugin for Hydra Express apps:

const HydraExpressLogger = require('fwsp-logger').HydraExpressLogger;
hydraExpress.use(new HydraExpressLogger());
hydraExpress.init(...);
hydraExpress.appLogger.info('information', {and: 'an object', with: 'some stuff'});
hydraExpress.appLogger.error({err: new Error('this will log a stack trace')});

// in a request handler
req.log.info('this will also log information about the current request');
req.log.error({err: new Error('this will log a stack trace')});

with corresponding entry in config.json:

"hydra": {
  "plugins": {
    "logger": {
      "serviceName": "foo-service",
      "toConsole": false,
      "noFile": true,
      "elasticsearch": {
        "host": "localhost",
        "port": 9200,
        "index": "local-dev"
      }
    }
  }
}

Or, use the HydraLogger plugin for Hydra services:

const HydraLogger = require('fwsp-logger').HydraLogger;
let hydraLogger = new HydraLogger();
let log = hydraLogger.getLogger();
hydra.use(hydraLogger);
hydra.init(...);
log.info('some info');
log.error({err: new Error('error with stack trace')});
log.error('just a message, no stack trace');

General usage (outside of Hydra):

const PinoLogger = require('fwsp-logger').PinoLogger,
      logger = new PinoLogger(
        {
          serviceName: 'my-app',             /* required - name of the app writing logs */
          logPath: '/custom/log-file.log',   /* optional, defaults to ${cwd()}/serviceName.log */
          elasticsearch: {
            host: 'your.elasticsearch.host.com',
            port: 9200,
            index: 'local-dev'
          }
        }
    );
const appLogger = logger.getLogger();
appLogger.error({err: 'An error happened'}); // pass {err} literal for proper error serialization
appLogger.info({
    message: 'Something else happened',
    details: {
      foo: 'bar',
      answer: 42
    }
});

Configuration

FieldDescriptionRequiredDefault
serviceNameName of the service doing the loggingNhydra.serviceName
logPathPath to log to if !noFileNservice/servicename.log
toConsoleLog to console (stdout)?Ntrue
noFileDon't write log to diskNfalse
redactFields to redact (e.g. passwords, credit card numbers, etc.)N[]
elasticsearchConnection object for ElasticSearchNnone

Testing

To make sure logs are getting shipped to Elasticsearch, you can spin up docker containers with ES and Kibana using the docker-compose.yml file in this repository.

You will need docker and docker-compose installed, then in this project folder, launch docker-compose up.

You'll need to set up an Elasticsearch index in Kibana before you'll be able to view logs, which should be the value of logger.elasticsearch.index (local-dev in above examples), or pino by default.

If you don't have any index patterns set up, Kibana won't let you proceed without adding one. Otherwise, to add additional indices, go to Settings -> Indices.

License

Licensed under MIT.

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Package last updated on 23 May 2017

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