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Crate clapfig

Crate clapfig 

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Rich, layered configuration for Rust applications. Define a struct, point at your files, and go.

Clapfig discovers, merges, and manages configuration from multiple sources — config files, environment variables, and programmatic overrides — through a builder API. Built on confique for struct-driven defaults and template generation.

let config: AppConfig = Clapfig::builder()
    .app_name("myapp")
    .load()?;

That single call searches the platform config directory for myapp.toml, merges MYAPP__* environment variables, fills in #[config(default)] values, and hands you a typed struct.

§Why clapfig

Most applications need layered configuration: compiled defaults, a config file, environment variables, maybe CLI flags. The typical approach is to wire each source by hand — parse TOML, iterate env vars, map CLI args — and the plumbing grows with every new source or setting.

Clapfig replaces that plumbing with a single struct. The struct defines which keys exist, what their defaults are, and what their documentation says. Every operation — loading, template generation, config get, config set — derives from that one definition. Add a field to the struct and the config file, env vars, template, and CLI subcommands all pick it up automatically.

§Design: struct as source of truth

Your config struct (via the Config derive, re-exported from confique) is the schema for everything:

  • #[config(default = ...)] provides compiled defaults — the lowest layer, always present. Works with scalars (default = 8080), strings (default = "localhost"), and collections (default = {} for an empty map, default = [] for an empty vec).
  • /// doc comments become the comments in generated templates and the output of config get.
  • #[config(nested)] models hierarchical config. Nesting maps to TOML sections, dotted keys, and double-underscore env var separators.
  • Option<T> fields are truly optional — omitting them in every source is valid. Fields without Option and without a default must be provided by at least one layer or loading fails.

This means there is no separate schema file, no key registry, and no chance of the template drifting from the code.

§Core library — no CLI framework required

The core of clapfig has no dependency on any CLI framework. Config discovery, multi-file merging, environment variable mapping, key lookup, persistence, and template generation all work through ClapfigBuilder and ConfigAction. You can use clapfig in GUI apps, servers, embedded tools, or with any argument parser.

For clap users, an optional adapter (the cli module, behind the clap Cargo feature, on by default) provides drop-in derive types that give your app config gen|list|get|set|unset subcommands with zero boilerplate. To use clapfig without clap:

clapfig = { version = "...", default-features = false }

§Layer precedence

Compiled defaults     #[config(default = ...)]
       ↑ overridden by
Config files          search paths in order, later paths win
       ↑ overridden by
Environment vars      PREFIX__KEY
       ↑ overridden by
URL query params      .url_query()          (requires "url" feature)
       ↑ overridden by
Overrides             .cli_override()

This is the default order. You can customize it with layer_order() — for example, to make files override env vars, or to exclude a layer entirely:

Clapfig::builder::<MyConfig>()
    .app_name("myapp")
    .layer_order(vec![Layer::Env, Layer::Files, Layer::Cli])
    .load()?;

See Layer for the available variants.

Every layer is sparse. You only specify the keys you want to override in that layer; unset keys fall through to the layer below. This is a deliberate design choice: config files don’t need to be complete, env vars can target a single key, and CLI flags only override what the user explicitly passes.

§Three axes of file handling

Config file behavior is controlled by three independent settings on the builder. They compose freely — changing one doesn’t affect the others.

§Discovery — where to look

search_paths() accepts a list of SearchPath variants in priority-ascending order (last = highest):

  • Platform — the OS config directory (XDG on Linux, ~/Library/ Application Support on macOS). Good for user-level settings.
  • Home(".myapp") — a dotfile directory under $HOME. Common for tools that predate XDG or target cross-platform consistency.
  • Cwd — the working directory. Natural for project-local config.
  • Path(path) — an explicit directory. Useful for system-wide defaults (/etc/myapp/) or test fixtures.
  • Ancestors(boundary) — walks up from CWD, expanding into multiple directories (shallowest first, CWD last = highest priority). This is how tools like .editorconfig or .eslintrc work. The Boundary controls how far to walk: Root goes to the filesystem root; Marker(".git") stops at the repo boundary.

Missing files are silently skipped — listing a search path is a suggestion, not a requirement.

§Resolution — what to do with found files

search_mode() controls what happens when multiple config files are found:

  • Merge (default) — deep-merge all files. Each file is a sparse overlay; later files override earlier ones key-by-key. Use this when configs are additive: a global file sets defaults, a project file overrides a few keys.

  • FirstMatch — use only the single highest-priority file found. Use this when configs are self-contained and should not be layered: a code formatter whose project config replaces the user config entirely.

The priority ordering is the same in both modes — switching between them never requires reordering your search paths.

§Persistence — where to write

persist_scope() names a target for config set/unset. You can have multiple scopes (e.g. “local” and “global”) and the --scope flag selects which one to write to. The first scope added is the default.

Scope paths are automatically added to the search path list, so persisted values are always discoverable during load. This means you don’t need to duplicate paths between search_paths() and persist_scope().

See the types module for common patterns: layered global + local, fallback chains, nearest project config, per-directory layering.

§Environment variables

With env prefix MYAPP, variables map via double-underscore nesting:

Env varConfig key
MYAPP__HOSThost
MYAPP__DATABASE__URLdatabase.url

__ (double underscore) separates nesting levels. Single _ within a segment is literal (part of the field name). Segments are lowercased to match Rust field names.

Values are parsed heuristically: true/false → bool, then integer, then float, then string. This works well for the common case (ports, flags, URLs). If you need exact control over how a value is interpreted, use confique’s #[config(deserialize_with = ...)] on the field.

Disable env loading entirely with .no_env() when you don’t want environment variables in the mix (e.g. in tests or embedded contexts).

§URL query parameters

(Requires the url Cargo feature.)

For Rust-backed web applications, URL query parameters can serve as a per-request config layer — by default sitting between environment variables and CLI overrides in precedence (customizable via layer_order()). This is useful for WASM frontends (Leptos, Dioxus, Yew) or server-side apps that accept config overrides via the URL.

let config: AppConfig = Clapfig::builder()
    .app_name("myapp")
    .url_query("port=9090&database.url=pg%3A%2F%2Fprod&debug=true")
    .load()?;

Keys use . for nesting (same as CLI overrides). Values are percent-decoded and parsed with the same heuristic as env vars. A leading ? is stripped if present.

Query paramConfig keyParsed value
port=9090port9090 (integer)
database.url=pg%3A%2F%2Fproddatabase.url"pg://prod" (string)
debug=truedebugtrue (bool)

Clapfig is framework-agnostic — it takes a raw query string, not a framework-specific request object. Your app extracts the query string however it likes (window.location.search, request headers, etc.) and passes it in.

Enable the feature in your Cargo.toml:

clapfig = { version = "...", features = ["url"] }

§Programmatic overrides

The cli_override() and cli_overrides_from() methods inject values at the Cli layer (highest priority by default). Despite the name, they are not clap-specific — use them with any value source (GUI inputs, HTTP headers, hardcoded test values). Their position in the merge order can be changed with layer_order().

cli_overrides_from(source) auto-matches: it serializes the source, skips None values, and keeps only keys that exist in the config struct. This means you can pass your entire clap struct and non-config fields (command, verbose, output) are silently ignored. For fields where the CLI name differs from the config key (e.g. --db-url vs database.url), use cli_override("database.url", cli.db_url).

Both methods push to the same override list and compose freely. Later calls take precedence.

§Strict mode

Strict mode is on by default. When a config file contains a key that doesn’t match any field in your struct, loading fails with the file path, key name, and line number:

Unknown key 'typo_key' in /home/user/.config/myapp/myapp.toml (line 5)

This catches typos and stale keys early. Turn it off with .strict(false) if you intentionally share config files across tools or want forward-compatible configs.

§Semantic validation — the post_validate hook

Strict mode and confique together cover structural validation: every key is known, every required field is present, every value has the right type. They do not cover semantic constraints — the rules that depend on the merged value rather than a single field’s type:

  • numeric ranges (port >= 1024, quality <= 100, pool_size > 0)
  • cross-field invariants (if tls_enabled then tls_cert_path must be set)
  • enum combinations (mode == "fast" requires buffer_size < 64k)
  • filesystem preconditions (output_dir must exist and be writable)
  • anything that needs the final, fully-merged &C to decide

Write them once, in a closure, and register it on the builder:

let config: AppConfig = Clapfig::builder()
    .app_name("myapp")
    .post_validate(|c| {
        if c.port < 1024 {
            return Err(format!("port {} is below 1024", c.port));
        }
        if c.tls_enabled && c.tls_cert_path.is_none() {
            return Err("tls_enabled requires tls_cert_path".into());
        }
        Ok(())
    })
    .load()?;

The hook runs after all layers have been merged and confique has type-validated the result, but before load() returns. Rejections become ClapfigError::PostValidationFailed, which renders with the same error pipeline as every other clapfig error.

Design notes:

  • Signature is Fn(&C) -> Result<(), String>. String keeps the API tiny. Callers with richer error types call .map_err(|e| e.to_string()).
  • Upstream failures short-circuit. Parse errors, strict-mode violations, and type errors all fire before the hook, so the hook only ever sees a fully-valid &C.
  • One hook per builder. Calling .post_validate() twice replaces the previous hook — compose multiple checks inside one closure.
  • The hook is captured by value and fires on every resolution. If you build a Resolver<C> for tree-walk use cases (see the next section), the same hook runs on every resolve_at() call.

§Tree-walk resolution — the Resolver<C> handle

load() assumes one resolution per process, anchored at std::env::current_dir(). For one-shot CLI tools that’s exactly right. But for tools that walk a dynamic file tree where every directory can have an optional config — the .htaccess / .gitignore / .editorconfig / .eslintrc pattern — you need N resolutions from N different anchors, and you want to amortize the I/O cost across calls.

ClapfigBuilder::build_resolver() gives you a reusable Resolver<C> handle for that case:

let resolver = Clapfig::builder::<MyConfig>()
    .app_name("myapp")
    .search_paths(vec![SearchPath::Ancestors(Boundary::Marker(".git"))])
    .post_validate(|c| validate_ranges(c))
    .build_resolver()?;

for leaf in walk_content_tree("./site") {
    let cfg = resolver.resolve_at(&leaf)?;
    render_page(&leaf, &cfg);
}

Key properties:

  • SearchPath::Cwd and SearchPath::Ancestors are anchored at the directory passed to resolve_at(), not at the process CWD. Each call is a fully independent resolution with the same builder state but a different starting point. Walking a site tree with Ancestors(Boundary::Marker(".git")) gives you nearest-project-config semantics on every leaf for free.
  • Files are cached by absolute path inside the resolver. A tree walk that visits 1000 leaves sharing 5 ancestor config files pays the disk + parse cost once per unique file, not 1000×. The Resolver is the cache scope — drop it to invalidate everything.
  • No mtime checking. The cache is not invalidated when files change on disk. Long-lived processes that need freshness should build a new Resolver. This is a deliberate “keep v1 simple” choice; the contract is documented and a regression test locks it in.
  • load() is the special case. Internally load() is just self.build_resolver()?.resolve_at(std::env::current_dir()?), so existing single-shot callers get zero behavior change and all resolution flows through one code path.
  • The post_validate hook composes naturally. Registered once on the builder, captured into the resolver, fired on every resolve_at call — so per-leaf invariants get the same enforcement as top-level load().

See Resolver for the full API.

§Normalizing values

Use confique’s #[config(deserialize_with = ...)] to normalize values during deserialization. The function runs automatically when a value is loaded from any source — config files, env vars, or overrides. This is useful for case-insensitive fields, path canonicalization, or unit conversion.

Note that #[config(default)] values are injected directly by confique and do not pass through the deserializer — write defaults in their already-normalized form.

§Template generation

config gen (or ConfigAction::Gen) produces a commented TOML file derived from the struct’s /// doc comments and #[config(default)] values. The template stays in sync with code — change a doc comment or a default, the template reflects it. When config set creates a new file, it seeds it from this template so the user gets a documented starting point.

§Clap adapter

The cli module (behind the clap feature) offers two integration paths:

  • ConfigArgs — a clap derive struct you embed in your #[derive(Subcommand)] enum. Fastest path: one line to add, one call to into_action() to bridge to the core.

  • ConfigCommand — a runtime builder for apps that need to rename subcommands or flags (e.g. if your app already has a --scope flag). Produces the same ConfigAction, so all downstream logic is shared.

Both paths give your users config gen|list|get|set|unset with --scope support. Pick ConfigArgs for simplicity; reach for ConfigCommand only when you hit naming conflicts.

§Persistence

config set and config unset write to config files through named persist scopes. Key design decisions:

  • Comment preservation: edits use toml_edit, so existing comments and formatting are preserved. Users won’t lose their annotations.
  • Seeded files: if the target file doesn’t exist, a new one is created from the generated template, so the user gets doc comments for every field out of the box.
  • Validation before write: config set validates that the key exists and the value is type-compatible before touching the file. A typo in the key name or a string where an integer is expected fails fast.
  • Scoped reads: config list --scope global and config get key --scope local read from a single scope’s file rather than the merged view, letting users inspect where values come from.

§Error handling

All fallible operations return ClapfigError. Errors are designed to be user-facing: unknown keys include file paths and line numbers, unknown scopes list the available ones, and missing prerequisites reference the builder method to call. See the error module for the full set.

Re-exports§

pub use error::ClapfigError;
pub use error::UnknownKeyInfo;
pub use types::Boundary;
pub use types::ConfigAction;
pub use types::Layer;
pub use types::SearchMode;
pub use types::SearchPath;

Modules§

error
Error types for clapfig operations.
render
Rendering ClapfigError for human consumption.
schema
JSON Schema generation from a confique config struct.
types
Core types that define how clapfig discovers, resolves, and persists configuration.

Structs§

Clapfig
Entry point for building a clapfig configuration.
ClapfigBuilder
Builder for configuring and loading layered configuration.
ConfigArgs
Clap-derived args for the config subcommand group.
ConfigCommand
Runtime-configurable alternative to ConfigArgs for apps that need to rename subcommands or flags to avoid conflicts.
Resolver
Reusable configuration resolver for tree-walk use cases.

Enums§

ConfigResult
Result of a config operation. Returned to the caller for display.
ConfigSubcommand
Available config subcommands.

Traits§

Config
A configuration object that can be deserialized in layers via serde.

Derive Macros§

Config