Expand description
setty is an opinionated configuration crate.
It can be used by:
- Applications - to load and merge config from multiple sources and formats and generate documentation and JSON Schema
- Libraries - to define their own config DTOs without needing to fully anticipate all format and style preference that different applications may choose for their config.
§Problem Statement
Popular configuration crates like config and figment deal with reading and merging values from multiple sources. They leave it up to you to handle parsing using serde derives. This is a good separation of concerns, but it leaves a lot of important details to you. Like remembering to put #[serde(deny_unknown_fields)] not to realize that your production config had no effect because of a small typo.
Also, you may need features beyond parsing:
- Documentation generation
- JSONSchema generation (e.g. for Helm chart values validation)
- Auto-completion in CLI
- Deprecation mechanism
- Per-field combine strategies (e.g. keep first value, replace with latest, merge arrays)
Layering more libraries and macros makes your models very verbose:
#[serde_with::skip_serializing_none]
#[derive(
Debug,
PartialEq, Eq,
better_default::Default,
serde::Deserialize, serde::Serialize,
serde_valid::Validate,
schemars::JsonSchema,
)]
#[serde(deny_unknown_fields, rename_all = "camelCase")]
struct AppConfig {
/// Need to be explicit about using default for `serde`
#[serde(default)]
database: DatabaseConfig,
/// Note how defaults in `serde` and `Default::default()` are two separate things
#[default(AppConfig::default_hostname())]
#[serde(default = "AppConfig::default_hostname")]
#[validate(min_length = 5)]
hostname: String,
#[default(AppConfig::default_username())]
#[serde(default = "AppConfig::default_username")]
username: Username,
/// !! DO NOT USE !!!
/// Deprecation is done by leaving screamy comments
password: Option<String>
}
/// No inline default epressions in `serde` - must use functions
impl AppConfig {
fn default_hostname() -> String {
"localhost".into()
}
fn default_username() -> Username {
"root".parse().unwrap()
}
}And even if you power through this problem in your application - you’ll face a composability problem - how to surface configuration from the sub-modules you depend on in your app config. If a config types defined in a module do not use your ideal set of derive macros - you’ll be forced to define a temporary DTO and write lots of mapping logic… yet more boilerplate!
§Solution
Use one simple macro:
/// Docstrings will appear in Markdown and JSON Schema outputs
#[derive(setty::Config)]
struct AppConfig {
/// Opt-in into using `Default::default`
#[config(default)]
database: DatabaseConfig,
/// Or specify default values in-line (support full expressions)
/// This default will be consistent between `Default::default()`, `serde(default)`, and `schemars`
#[config(default = "localhost")]
/// Basic validation can be delegated to `serde_valid` crate
#[config(validate(min_length = 5))]
hostname: String,
/// Use `default_str` to parse the value
#[config(default_str = "root")]
username: Username,
/// Use of deptecated values can be reported as warnings or fail strict validation
#[deprecated = "Avoid specifying password in config file"]
password: Option<String>
}Control what behavior you need via create features:
setty = { version = "*", features = [
# These traits will be derived for all types
"derive-clone",
"derive-debug",
"derive-partial-eq",
"derive-eq",
"derive-deserialize",
"derive-serialize",
"derive-jsonschema",
"derive-validate",
# Pick one: A case for struct fields (applies `#[serde(renameAll = "...")]`)
"case-fields-lower",
"case-fields-pascal",
"case-fields-camel",
"case-fields-snake",
"case-fields-kebab",
# Pick one: A case for enum variants (applies `#[serde(renameAll = "...")]`)
"case-enums-lower",
"case-enums-pascal",
"case-enums-camel",
"case-enums-snake",
"case-enums-kebab",
"case-enums-any", # Uses one of other cases on write but accepts any on read
# Pick input format(s)
"fmt-toml",
"fmt-json",
"fmt-yaml",
# Pick generation target formats
"gen-jsonschema",
"gen-markdown",
# Extra types support
"types-bigdecimal",
"types-chrono",
"types-duration-string",
"types-url",
] }By specifying features only at the top-level application crate - the desired derives will be applied to configs of all crates in your dependency tree allowing you to directly embed their DTOs. In other words library developers don’t have to predict and align every aspect of configuration with the app layer - they can focus only on DTO types.
Finally, load the config:
use setty::format::{Toml, Yaml};
use setty::source::{File, Env};
let cfg: AppConfig = setty::Config::new()
// Specify sources in priority order. Latter sources replace or merge
// with values in earlier ones (see also `combine()` attribute).
.with_sources(config_paths.iter().map(File::<Toml>::new))
// Env source allows to pass overrides like:
//
// APP_CONFIG__database__schema_name=my_schema
// APP_CONFIG__database__connection_timeout=30s
// APP_CONFIG__encryption='{"algo": "Aes256Gcm", "nonce": "..."}'
//
// I switch to YAML for env vars to avoid excessive quotes in most cases
.with_source(Env::<Yaml>::new("APP_CONFIG__", "__"))
// Merges the values and deserializes to config type
.extract()?;§Usage Examples
See the examples directory.
Re-exports§
pub use config::Config;
Modules§
Enums§
- Value
- Represents any valid JSON value.
Attribute Macros§
- derive
- Special version of
#[derive(..)]macro. Works just like the standard one, except it will de-duplicate the derives expanded fromConfigand explicit ones.