35b238ee82
This might break compatibility with projects using this module that
are still on go1.16, which is EOL, so probably ok to ignore:
github.com/docker/buildx/store imports
github.com/gofrs/flock tested by
github.com/gofrs/flock.test imports
gopkg.in/check.v1 loaded from gopkg.in/check.v1@v1.0.0-20200227125254-8fa46927fb4f,
but go 1.16 would select v1.0.0-20201130134442-10cb98267c6c
To upgrade to the versions selected by go 1.16:
go mod tidy -go=1.16 && go mod tidy -go=1.17
If reproducibility with go 1.16 is not needed:
go mod tidy -compat=1.17
For other options, see:
https://golang.org/doc/modules/pruning
Signed-off-by: Sebastiaan van Stijn <github@gone.nl>
|
3 years ago | |
|---|---|---|
| .. | ||
| CHANGELOG.md | 3 years ago | |
| LICENSE | 6 years ago | |
| README.md | 6 years ago | |
| decode_hooks.go | 3 years ago | |
| error.go | 6 years ago | |
| mapstructure.go | 3 years ago | |
README.md
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.