# Hedgelog This gem provides an opinionated Ruby logger for writing structured JSON logs. It attempts to maintain compatibility with the standard Ruby logger api while extending it with functionality relevant to JSON logging. ## Installation Add this line to your application's Gemfile: ```ruby gem 'hedgelog' ``` And then execute: $ bundle Or install it yourself as: $ gem install hedgelog ## Basic Usage ```ruby require 'hedgelog' # Logging defaults to STDOUT or you can pass a file path to .new logger = Hedgelog::Channel.new logger.level = :info logger.debug "Foo" # No Output logger.info "Foo" => {"message":"FOO","timestamp":"2015-07-15T12:03:08.257356","level_name":"info","level":1} logger.info "FOO", sample: 'data' => {"context": {"sample":"data"},"message":"FOO","timestamp":"2015-07-15T12:05:02.302202","level_name":"info","level":1} # It also supports logging as a block with extra data logger.info { ["FOO", {sample: 'data'}] } => {"context", {"sample":"data"},"message":"FOO","timestamp":"2015-07-15T12:06:20.026807","level_name":"info","level":1} ``` ## Context Hedgelog allows adding additional context to an instance of a logger that will get output with each log message ```ruby logger[:request_id] = 1234 => 1234 logger.info "FOO" => {"request_id":1234,"message":"FOO","timestamp":"2015-07-15T12:09:33.129984","level_name":"info","level":1} ``` ## Sub-channels One of the primary features of Hedgelog is the usage of sub-channels. Sub-channels can have their own context separate from the main loggers context. This allows including additional information for all log messages from a portion of your application. ```ruby subchannel = logger.subchannel(:database) subchannel.info "FOO" => {"subchannel":"database","message":"FOO","timestamp":"2015-07-15T12:12:39.147210","level_name":"info","level":1} # The subchannel does not effect the primary instance of the logger logger.info "FOO" =>{"message":"FOO","timestamp":"2015-07-15T12:13:31.132059","level_name":"info","level":1} ``` The sub-channel instances conform to the same interface as Hedgelog. Therefore they can be passed in as standard Ruby loggers to gems that take an instance of Ruby logger for input. ```ruby DataMapper.logger = logger.subchannel(:database) ``` ## Scrubbing ## Contributing Bug reports and pull requests are welcome on GitHub at https://github.com/firespring/hedgelog. For details on the pull request process please see our [contributing documentation](CONTRIBUTING.md)