Makes Serde serialize your data to the Rust source code.
This crate was inspired by the Stack Overflow question. In short, if you want to make some data in the human-readable format, such as JSON, to be deserialized at compile-time and build into the binary, as if it was written by hand, then this crate can possibly help you.
This crate is intended to be used from the build script. It will serialize anything you provide to it to any path you provide (or to the arbitrary io::Write
implementation, or into String
, if you want to). Then, you'll include!
the generated file wherever you want to use it.
See the crate documentation for details. In short, we use information provided by Serde to emit the code, which, when assigned to the variable of correct type, will provide all necessary conversions by using Into
and iterators.
Well... not. There are several limitations.
- All the types used in the serialized struct must be in scope on the include site. Serde doesn't provide the qualified name (i.e. path) to the serializer, only the "last" name. The probably easiest way is to use the serialized data as following:
let value: MainType = {
use ::path::to::Type1;
// ...and other types
include!("path/to/file.rs")
}
or the similar construction using lazy_static
.
- As a consequence, all the types used by the serialized one must have distinct names (or they'll clash with each other).
- Deserializer isn't implemented. This is intentional, since this crate isn't really intended for runtime usage. Well, in fact, the deserializer is implemented - it's just the Rust compiler itself.
- This serializer is intended for use with derived implementation. It may return bogus results when used with customized
Serialize
. - It is impossible to serialize the struct with private fields outside from the module it is defined in. In fact, to be able to serialize this type at all, you'll have to distribute two copies of your crate, one of which would only export the definition with derived
Serialize
to be used by this crate during the build-time of the second copy. (Isn't this a bit too complex?)
If you find any other case where this doesn't work, feel free to open an issue - we'll either fix the code or document the newly-found limitation.
This crate uses batch_run
to run its tests.
The common structure of test cases is like following:
- File named
definition.rs
contains the necessary types. - File named
{test_name}-main.rs
includesdefinition.rs
as module. It contains themain
function, which creates an instance of some type fromdefinition.rs
, generates the corresponding Rust code ingenerated.rs
and launches{test_name}-user.rs
throughbatch_run
. - File named
{test_name}-user.rs
includesdefinition.rs
as module andgenerated.rs
through call toinclude!
. It checks that the generated code indeed creates the data equal to what was created initially.
Testing data itself is defined in [test_fixtures/data.toml], and is in the following format:
- Section name in TOML corresponds to the name of test case. Note that this is not the Cargo test, but the item in the
batch_run
's batch. - Field
main_type
corresponds to the type which serialization is being tested. - If there are several types (for example, in the nested struct), all other types except for main one should be listed under
support_types
as a comma-separated list. These, together with themain_type
, will be included in{test_name}-user.rs
as imports. - Field
definition
is literally copied into thedefinition.rs
. It's necessary to deriveDebug
,Serialize
andPartialEq
on all the types there, since these traits are used during test entry run. - Field
value
is literally copied in two places: first, the{test_name}-main.rs
, where the code is generated; second, in{test_name}-user.rs
, where test checks two values for equality.
MIT