rgb-cln/contrib/msggen
Christian Decker bb9d215d4a msggen: Update msggen dependencies 2024-02-11 11:26:54 +01:00
..
dist added listhtlcs model 2023-07-24 09:07:24 +09:30
examples msggen: adding example and fixes typo 2022-05-07 11:11:51 +02:00
msggen msggen: Regenerate to include `offer` and `listoffers` 2024-02-09 12:20:45 +01:00
.gitignore msggen: Start making the `msggen` library a standalone tool 2024-02-08 15:03:34 +01:00
Makefile make: Add missing dependency between schemas and schema bundle 2024-02-09 12:20:45 +01:00
README.md msggen: Move overrides into the model itself 2023-05-05 11:54:41 +09:30
poetry.lock msggen: Update msggen dependencies 2024-02-11 11:26:54 +01:00
pyproject.toml msggen: Update msggen dependencies 2024-02-11 11:26:54 +01:00

README.md

MsgGen - Generating language bindings and docs from schemas and wire descriptions

MsgGen is a collection of tools that are used to parse schemas and (eventually) protocol wire CSVs into an intermediate representation in memory, and then generate language specific bindings and documentation from it.

The dependency graph looks like this:

digraph {
  "JSON-RPC Schemas" -> "msggen model";
  "msggen model" -> "grpc proto file";
  "msggen model" -> "Rust From<JsonRpc> Converters";
  "grpc proto file" -> "Rust grpc bindings"
  "Rust grpc bindings" -> "cln-grpc";
  "Rust From<JsonRpc> Converters" -> "cln-grpc";
  "msggen model" -> "Rust JSON-RPC structs";
  "Rust JSON-RPC structs" -> "cln-rpc";
}

msggen will load the schemas in doc/schemas into memory, and then use Patches to enrich the model before using it to generate the bindings for the various languages as well as the converters from one format to another. These patches can be found in msggen/patch.py and perform a variety of operations:

  • Annotate the model with additional data from external sources, such as the .msggen.json file at the repository root to track details that can be derived but should remain constant (grpc field numbering and versioning information)
  • Aggregate common types with type overrides and omit fields that we can't map currently.
  • Infer optionality based on the versions a field was added or deprecated, and the currently supported range of versions.

If there is a field that is currently missing in the model, that is in the schemas it is most likely because it has been marked as omitted in the patch.