* update vendor directory, add go.opencensus.io * update imports * oops * s/opentracing/opencensus/ & remove prometheus / zipkin stuff & remove old stats * the dep train rides again * fix gin build * deps from last guy * start in on the agent metrics * she builds * remove tags for now, cardinality error is fussing. subscribe instead of register * update to patched version of opencensus to proceed for now TODO switch to a release * meh fix imports * println debug the bad boys * lace it with the tags * update deps again * fix all inconsistent cardinality errors * add our own logger * fix init * fix oom measure * remove bugged removal code * fix s3 measures * fix prom handler nil
mapstructure 
mapstructure is a Go library for decoding generic map values to structures and vice versa, while providing helpful error handling.
This library is most useful when decoding values from some data stream (JSON,
Gob, etc.) where you don't quite know the structure of the underlying data
until you read a part of it. You can therefore read a map[string]interface{}
and use this library to decode it into the proper underlying native Go
structure.
Installation
Standard go get:
$ go get github.com/mitchellh/mapstructure
Usage & Example
For usage and examples see the Godoc.
The Decode function has examples associated with it there.
But Why?!
Go offers fantastic standard libraries for decoding formats such as JSON. The standard method is to have a struct pre-created, and populate that struct from the bytes of the encoded format. This is great, but the problem is if you have configuration or an encoding that changes slightly depending on specific fields. For example, consider this JSON:
{
"type": "person",
"name": "Mitchell"
}
Perhaps we can't populate a specific structure without first reading
the "type" field from the JSON. We could always do two passes over the
decoding of the JSON (reading the "type" first, and the rest later).
However, it is much simpler to just decode this into a map[string]interface{}
structure, read the "type" key, then use something like this library
to decode it into the proper structure.