toml-test
is a higher-order program that tests other
TOML
decoders or encoders. The goal is to make it comprehensive.
Tests are divided into two groups: invalid TOML data and valid TOML
data. Decoders that reject invalid TOML data pass invalid TOML tests. Deocoders
that accept valid TOML data and output precisely what is expected pass valid
tests. The output format is JSON, described below.
Both decoders and encoders share valid tests, except an encoder accepts JSON and outputs TOML. The TOML representations are read with a blessed decoder and compared. Note though that encoders have their own set of invalid tests in the invalid-encoder directory. The JSON given to a TOML encoder is in the same format as the JSON that a TOML decoder should output.
Version: v0.4.0 (in sync with TOML)
Compatible with TOML version v0.4.0
Dependencies: Go.
All you need is to have Go installed. Then simply use:
cd
export GOPATH=$HOME/go # if it isn't already set
go get github.com/BurntSushi/toml-test # install test suite
go get github.com/BurntSushi/toml/cmd/toml-test-decoder # e.g., install my parser
$HOME/go/bin/toml-test $HOME/go/bin/toml-test-decoder # e.g., run tests on my parser
# Outputs: 64 passed, 0 failed
The go get
commands install Go packages and binaries into your GOPATH
.
To test your decoder, you will have to satisfy the interface expected by
toml-test
described below. Then just execute toml-test your-decoder
in the
toml-test
directory to run your decoder against all tests.
To test your encoder, the instructions are the same, except the input/output
is reversed, and you'll need to run toml-test -encoder your-encoder
.
(You can install my TOML encoder with go get github.com/BurntSushi/toml/cmd/toml-test-encoder
.)
For your decoder to be compatible with toml-test
, it must satisfy the
interface expected.
Your decoder must accept TOML data on stdin
until EOF.
If the TOML data is invalid, your decoder must return with a non-zero exit code indicating an error.
If the TOML data is valid, your decoder must output a JSON encoding of that
data on stdout
and return with a zero exit code indicating success.
For your encoder to be compatible with toml-test
, it must satisfy the
interface expected.
Your encoder must accept JSON data on stdin
until EOF.
If the JSON data cannot be converted to a valid TOML representation, your encoder must return with a non-zero exit code indicating an error.
If the JSON data can be converted to a valid TOML representation, your encoder
must output a TOML encoding of that data on stdout
and return with a zero
exit code indicating success.
The following JSON encoding applies equally to both encoders and decoders.
- TOML tables correspond to JSON objects.
- TOML table arrays correspond to JSON arrays.
- TOML values correspond to a special JSON object of the form
{"type": "{TTYPE}", "value": {TVALUE}}
In the above, TTYPE
may be one of:
- string
- integer
- float
- local_date
- local_time
- local_datetime
- datetime
- bool
- array
and TVALUE
is always a JSON string, except when TTYPE
is array
in which
TVALUE
is a JSON array containing TOML values.
Empty hashes correspond to empty JSON objects (i.e., {}
) and empty arrays
correspond to empty JSON arrays (i.e., []
).
Datetime should be encoded following RFC 3339.
Here is the TOML data:
best-day-ever = 1987-07-05T17:45:00Z
[numtheory]
boring = false
perfection = [6, 28, 496]
And the JSON encoding expected by toml-test
is:
{
"best-day-ever": {"type": "datetime", "value": "1987-07-05T17:45:00Z"},
"numtheory": {
"boring": {"type": "bool", "value": "false"},
"perfection": {
"type": "array",
"value": [
{"type": "integer", "value": "6"},
{"type": "integer", "value": "28"},
{"type": "integer", "value": "496"}
]
}
}
}
Note that the only JSON values ever used are objects, arrays and strings.
The following are taken as ground truths by toml-test
:
- All tests classified as
invalid
are invalid. - All tests classified as
valid
are valid. - All expected outputs in
valid/test-name.json
are exactly correct. - The Go standard library package
encoding/json
decodes JSON correctly. - When testing encoders, the TOML decoder at BurntSushi/toml is assumed to be correct. (Note that this assumption is not made when testing decoders!)
Of particular note is that no TOML decoder is taken as ground truth when
testing decoders. This means that most changes to the spec will only require an
update of the tests in toml-test
. (Bigger changes may require an adjustment
of how two things are considered equal. Particularly if a new type of data is
added.) Obviously, this advantage does not apply to testing TOML encoders since
there must exist a TOML decoder that conforms to the specification in order to
read the output of a TOML encoder.
toml-test
was designed so that tests can be easily added and removed. As
mentioned above, tests are split into two groups: invalid and valid tests.
Invalid tests only check if a decoder rejects invalid TOML data. Or, in the
case of testing encoders, invalid tests only check if an encoder rejects an
invalid representation of TOML (e.g., a hetergeneous array).
Therefore, all invalid tests should try to test one thing and one thing
only. Invalid tests should be named after the fault it is trying to expose.
Invalid tests for decoders are in the tests/invalid
directory while invalid
tests for encoders are in the tests/invalid-encoder
directory.
Valid tests check that a decoder accepts valid TOML data and that the parser has the correct representation of the TOML data. Therefore, valid tests need a JSON encoding in addition to the TOML data. The tests should be small enough that writing the JSON encoding by hand will not give you brain damage. The exact reverse is true when testing encoders.
A valid test without either a .json
or .toml
file will automatically fail.
If you have tests that you'd like to add, please submit a pull request.
In order for a language agnostic test suite to work, we need some kind of data exchange format. TOML cannot be used, as it would imply that a particular parser has a blessing of correctness.
My decision to use JSON was not a careful one. It was based on expediency. The
Go standard library has an excellent encoding/json
package built in, which
made it easy to compare JSON data.
The problem with JSON is that the types in TOML are not in one-to-one correspondence with JSON. This is why every TOML value represented in JSON is tagged with a type annotation, as described above.
YAML may be closer in correspondence with TOML, but I don't believe we should rely on that correspondence. Making things explicit with JSON means that writing tests is a little more cumbersome, but it also reduces the number of assumptions we need to make.
If you have an implementation, send a pull request adding to this list. Please
note the commit SHA1 or version tag that your parser supports in your README
.
- C (@ajwans) - https://github.com/ajwans/libtoml
- C++ (@skystrife) - https://github.com/skystrife/cpptoml
- Go (@thompelletier) - https://github.com/pelletier/go-toml
- Go w/ Reflection (@BurntSushi) - https://github.com/BurntSushi/toml/tree/master/cmd/toml-test-decoder
- LabVIEW (@dbtaylor) - https://github.com/erdosmiller/lv-toml
- Node.js/Browser (@redhotvengeance) - https://github.com/redhotvengeance/topl
- PHP (@leonelquinteros) - https://github.com/leonelquinteros/php-toml
- Python (@uiri) - https://github.com/uiri/toml
- Python (@marksteve) - https://github.com/marksteve/toml-ply
- Racket (@greghendershott) - https://github.com/greghendershott/toml
- Ruby (@jm, @cespare) - https://gist.github.com/cespare/5052442
- Rust (@mneumann) - https://github.com/mneumann/rust-toml
N.B. Your decoder/encoder doesn't need to pass all tests to be on this list.
I'm not sure why, but some projects seem to build their own testing harness
while using the tests in this repository. That's OK, but it's probably more
work than necessary. Plus, I claim that toml-test
outputs nice error
messages.
- Haskell (@cies) - https://github.com/cies/htoml
- Julia (@pygy) - https://github.com/pygy/TOML.jl
- PHP (@yosymfony) - https://github.com/yosymfony/toml
- Python (@f03lipe) - https://github.com/f03lipe/toml-python
- JavaScript (@iarna) - https://github.com/iarna/iarna-toml