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RCL is a domain-specific language for generating configuration files and querying json documents. It is a superset of json that extends it into a simple, gradually typed, functional programming language that resembles Python and Nix.
RCL can be used through the rcl
command-line tool that can export
documents to json, yaml, toml, and more. It can also be used through
a native Python module, with an interface similar to the json
module.
RCL solves the following problems:
- Copy-pasted yaml blocks that differ by a single value.
- Broken configs due to whitespace and escaping footguns in templating engines.
- Drift between tools due to lack of a single source of truth.
- Struggling to remember
jq
syntax.
It does that as follows:
- A real language. Use variables, loops, imports, and functions to eliminate duplication.
- Familiar syntax. Have you used Python, TypeScript, or Rust before? Then you will find RCL obvious to read and natural to write.
- Generate rather than template. Manipulate data structures, not strings. Generate correct json, yaml, and toml.
- Built to integrate.
Generate configs for tools that do not natively talk to each other, all
from a single source of truth. Integrate with your existing build tools,
use the Python module, or the built-in
rcl build
to update generated files. - Gradual types. Add type annotations where they help to eliminate bugs and make code self-documenting, omit them in straightforward code.
- Built-in json queries. A language for manipulating structured data makes a pretty good query tool. Run map and filter pipelines straight from your command-line.
Given this input:
{
backup_buckets = [
let retention_days = { hourly = 4, daily = 30, monthly = 365 };
for database in ["alpha", "bravo"]:
for period, days in retention_days:
{
name = f"{database}-{period}",
region = "eu-west",
lifecycle_policy = { delete_after_seconds = days * 24 * 3600 },
}
],
}
RCL generates:
{
"backup_buckets": [
{
"name": "alpha-hourly",
"region": "eu-west",
"lifecycle_policy": { "delete_after_seconds": 345600 }
},
{
"name": "alpha-daily",
"region": "eu-west",
"lifecycle_policy": { "delete_after_seconds": 2592000 }
},
// And 4 similar entries, omitted here for brevity.
]
}
For an interactive demo in your browser, see https://rcl-lang.org.
After the interactive examples on the website, the manual is the best resource for further information. The most useful chapters to get started:
You may also find the examples in the examples
directory instructive.
Some helpful commands after a clone:
# Build
cargo build --release
# Print usage
target/release/rcl
target/release/rcl eval --help
# Evaluate an RCL expression to json
target/release/rcl eval --format=json examples/tags.rcl
# Query an RCL or json document
target/release/rcl query examples/tags.rcl input.tags.ams01
# Autoformat and highlight an RCL expression (non-destructive, prints to stdout)
target/release/rcl fmt examples/tags.rcl
RCL is a hobby project without stability promise. It is usable and useful, well-tested, and well-documented, but also still experimental, and it may have breaking changes. Syntax highlighting is available for major editors like Vim, Emacs, Helix, and Zed.
One thing that holds RCL back from being useful to more people is the lack of widespread support for syntax highlighting on platforms such as GitHub. If RCL is useful to you, you can help by using RCL publicly in a GitHub repository to demonstrate traction. Use it seriously of course, please don’t game the metric. Other things you can help with are getting RCL packaged for your favorite package manager, and developing syntax highlighting for your favorite editor if it is not yet supported.
Run all tests and checks below in one command:
nix flake check
Run golden tests:
cargo build
golden/run.py
Check the grammar for ambiguities:
bison -Werror=all grammar/bison/grammar.y
Run unit tests and lints:
cargo test
cargo clippy
Typecheck Python sources
mypy --strict --exclude pyrcl .
mypy --strict pyrcl
Check formatting:
cargo fmt
black .
View coverage of the golden tests:
nix build .#coverage --out-link result
xdg-open result/index.html
For how to run the fuzzers, see docs/testing.md
.
Build the shared object:
cargo build --manifest-path pyrcl/Cargo.toml
Give the shared object the appropriate name for the Python interpreter to discover it:
mv target/debug/{libpyrcl,rcl}.so
Tell Python where to find the shared object, run the interpreter:
PYTHONPATH=target/debug python3
>>> import rcl
>>> help(rcl.loads)
>>> rcl.load_file("examples/buckets.rcl")
See the readme in the wasm
directory.
RCL is licensed under the Apache 2.0 license. It may be used in free software as well as closed-source applications, both for commercial and non-commercial use under the conditions given in the license. If you want to use RCL in your GPLv2-licensed software, you can add an exception to your copyright notice. Please do not open an issue if you disagree with the choice of license.