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@imqueue/async-logger

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Configurable async logger over winston for @imqueue services

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# @imqueue/async-logger Configurable async logger over winston for @imqueue services. ## Install ~~~bash npm i --save @imqueue/async-logger ~~~ ## Usage There are two actual ways of using async logger. 1. Rely on singleton instance produced by this library, which is configured by environment variables (see Configuration section below) In this case as simple as ~~~typescript import logger from '@imqueue/async-logger'; serviceOptions.logger = logger; ~~~ 2. Instantiate and configure async logger programmatically: ~~~typescript import { Logger } from '@imqueue/async-logger'; const { name, version } = require('./package.json'); const logger = new Logger({ transports: [{ type: 'http', options: { ssl: true, port: 443, path: '/v1/input/<YOUR_API_KEY>', host: 'http-intake.logs.datadoghq.com', headers: { 'Content-Type': 'application/json', }, }, enabled: true, }], metadata: { ddsource: `${ name } ${ version }`, ddtags: 'env: dev', hostname: 'localhost' }, }); serviceOptions.logger = logger; ~~~ ## Configuration Logger can be configured via environment variables. It can be easily integrated with any remote services. Here we will example configuration based on assumption to connect with Datadog remote service. So, basically there are two basic configuration options available: ~~~bash export LOGGER_TRANSPORTS='[]' export LOGGER_METADATA='{}' ~~~ Both of them are simply JSON strings referring to replicate corresponding winston logger settings. Both of them can accept string tags `%name`, `%version` for dynamic setting of these values from a current service package, if needed. 1. To configure HTTP transport follow to pass such object to `LOGGER_TRANSPORTS` array: ~~~json { "type": string, "options": { "ssl": boolean, "port": number, "path": string, "host": string, "headers": object }, "enabled": boolean } ~~~ 2. To configure File transport ~~~json { "type": string, "options": { "filename": string, "dirname": string, "options": object, "maxsize": number, "zippedArchive": boolean, "maxFiles": number, "eol": string, "tailable": boolean }, "enabled": boolean } ~~~ EXAMPLE FOR DATADOG: ~~~bash export LOGGER_TRANSPORTS='[{"type":"http","options":{"ssl":true,"port":443,"path":"/v1/input/[DATADOG_API_KEY]","host":"http-intake.logs.datadoghq.com","headers":{"Content-Type":"application/json"}}, "enabled": true }]' ~~~ where DATADOG_API_KEY should be replaced with an actual API key. 3. To configure metadata consider the following `LOGGER_METADATA` object: ~~~json { "ddsource": string, "ddtags": string, "hostname": string } ~~~ EXAMPLE FOR DATADOG: ~~~bash export LOGGER_METADATA='{"ddsource":"%name %version","ddtags":"env: dev","hostname":"localhost"}' ~~~ ### Lets See It Human-Readable: ~~~bash # example of transports config export LOGGER_TRANSPORTS='[{ "type": "http", "options": { "ssl": true, "port": 443, "path": "/v1/input/<YOUR_API_KEY>", "host": "http-intake.logs.datadoghq.com", "headers": { "Content-Type": "application/json" } }, "enabled": true }, { "type": "file", "options": { "filename": "logs.log", "dirname": "/home/usr/logs", "options": object, "zippedArchive": false, } "enabled": true }]' # example of metadata for datadog export LOGGER_METADATA='{ "ddsource": "%name %version", "ddtags": "env: dev", "hostname": "localhost" }'; ~~~ ## Contributing Any contributions are greatly appreciated. Feel free to fork, propose PRs, open issues, do whatever you think may be helpful to this project. PRs which passes all tests and do not brake tslint rules are first-class candidates to be accepted! ## License This project is licensed under the GNU General Public License v3.0. See the [LICENSE](LICENSE) Happy Coding!