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API conventions

Who this page is for. This is an advanced reference for Rust developers working with or on the framework's code — it explains the naming, return-type and module conventions behind Rustango's Rust API. It is not a guide to calling a Rustango app's REST API over HTTP. If that's what you want, start with ViewSets (build a REST API) and the glossary (plain-language terms); come back here once you're writing Rust against the framework.

This page explains the patterns Rustango's API follows, so you can predict how any method behaves before you read its docs. If you're contributing or auditing a feature, these are the rules.

Naming
Constructors
Return types
Async vs sync
The pool argument
Filtering
Errors
Module naming
Builders vs config structs
Feature flags
Macros vs runtime
Contributing

Naming

The name of a method tells you what it does. Once you learn these suffixes, you can guess most of the API.

Functions

save_on(executor), delete_on(executor) — write methods take an executor (a pool, connection, or transaction — the thing that talks to the database). The _on suffix means "run this against the executor I'm handing you."
fetch_on(executor), count_on(executor) — same _on suffix, for reads.
save(), fetch(), count() without _on — shorthand that calls the _on version with a default &pool. Only works where the queryset or model already holds a pool reference (rare in app code).
from_X(value) — converts FROM another value (e.g. from_model(post), from_base32(s)).
with_X(value) — a builder method that sets one option and returns the object, so you can chain calls (e.g. with_default_ttl(d), with_access_ttl(secs)).
new() — the minimal constructor. Any arguments it takes are required dependencies (e.g. RedisCache::new(url) — you can't build the cache without a URL).

Types

These follow standard Rust casing, the same as Python's PEP 8 split between classes and functions:

PascalCase — types, traits, and enum variants (like Python classes).
snake_case — modules, functions, fields, and local variables.
SCREAMING_SNAKE_CASE — constants, plus the Model::SCHEMA constant that the derive macro generates for each model.
Boxed* — an alias for Arc<dyn Trait>, a thread-safe shared pointer to a trait object (the Rust way to hold "any implementation of this interface"). For example BoxedCache = Arc<dyn Cache>. This is the standard type for a pluggable backend you can swap out.

Modules

Singular when the module holds ONE main type or concept: cache, email, storage, signed_url, request_id.
Plural when the module holds a COLLECTION of items: bulk_actions, api_keys, passwords, forms, signals.

Constructors

How you build an object depends on what it needs. There are a few standard shapes:

Pattern	When	Example
`T::new()`	Minimal — no required dependencies	`InMemoryCache::new()`, `Validator::new()`
`T::new(arg)`	One required dependency	`EnvSecrets::with_prefix(s)`, `RedisCache::new(url)`
`T::with_X(arg)`	Builder-style override after `new()`	`InMemoryCache::with_default_ttl(d)`, `JwtLifecycle::new(s).with_access_ttl(60)`
`T::from_X(arg)`	Convert FROM Y	`TotpSecret::from_base32(s)`, `Locale::new(s)` (sometimes `from_str`)
`T::for_Y(arg)`	Build T scoped to a specific Y	`ViewSet::for_model(schema)`

Avoid this: T::with_X_and_Y_and_Z(a, b, c) — one constructor that takes everything. Split it into new(...) plus chained .with_*() calls instead.

Return types

A method's return type tells you how it can fail. Rust has no exceptions, so failure is part of the return value. There are three shapes.

Result<T, E> — like a function that either returns a value or throws. You get either the value T or an error E with details. Use it for operations that can fail and where the why matters:

I/O: pool.fetch(...).await -> Result<_, sqlx::Error>
Validation: Form::parse(data) -> Result<Self, FormErrors>
Issuance: JwtLifecycle::issue_pair_with(uid, claims) -> Result<_, JwtIssueError>

Option<T> — either a value (Some) or nothing (None), like a nullable field. Use it when "nothing found" is a normal outcome and you don't need an error message explaining why:

Lookups: cache.get(k) -> Result<Option<String>, _> (the Result covers I/O failure; the Option covers "key not present")
Verification: JwtLifecycle::verify_access(token) -> Option<Claims> ("expired or invalid" is an expected outcome, so None is enough)
Optional config reads: env::optional("FOO") -> Result<Option<T>, _>

bool — a plain yes/no when no further detail is needed:

cache.exists(k) -> Result<bool, _> (the Result covers I/O; the bool is the answer)
JwtLifecycle::revoke(token) -> bool (true = added to the blacklist)
disconnect_pre_save(id) -> bool (true = an entry was removed)

Result<Option<T>> or Result<T> with a NotFound error? Both can express "lookup failed," so pick by how exceptional "not found" is:

Use Result<Option<T>> when "not found" is routine — your code almost always branches on Some/None anyway.
Use Result<T> with a NotFound error variant when "not found" is exceptional — something you'd log as a warning or turn into a 404.

Async vs sync

The rule of thumb: if a method waits on something (the database, network, or disk), it's async and you must .await it. If it just computes, it's a normal sync call. This table spells it out.

Operation	Sync or async?
Trait method that touches I/O (DB, network, file)	async
Trait method that's pure compute (`hash`, `verify`, `encode`)	sync
Builder methods (`with_X`, chainable setters)	sync
Macros (`derive(Model)`, `derive(Serializer)`)	N/A (compile-time)
Signal `connect_*` (registers a receiver)	sync
Signal `send_*` (dispatches to async receivers)	async

Exception: Cache::set is async even though the in-memory version (InMemoryCache::set) never actually waits. The trait is shaped for the Redis case, which does. This is intentional: a trait method should be async if any reasonable implementation needs to wait, so all backends share one signature.

The pool argument

Every ORM call takes a pool or executor (the database handle) as its last argument. You pass the connection in every time, rather than relying on a hidden global:

post.save_on(&pool).await?
Post::objects().filter(...).fetch_on(&pool).await?
send_post_save(&post, ctx).await                  // ⚠️ no pool — signals are pool-free

One exception: signals don't take a pool, because they never touch the database. The rule holds: anything that hits the DB takes the pool; anything that doesn't, doesn't.

Why pass it every time? Rust prefers dependencies you can see over hidden global state. Django keeps the connection in thread-local storage, but that breaks down in Rust's async world, where a task can hop between threads mid-request. The downside is more typing; the upside is that you can grep for every place that touches the database.

If you find yourself passing &pool through ten layers of function calls, accept impl Executor once at the public entry point and let the internal helpers share that single connection.

Filtering

There are three ways to filter a queryset, and they all combine in one query. Pick by where the filter comes from.

// 1. HTTP query string (set via ViewSet filter_fields, parsed at request time)
//    GET /api/posts?author_id=42&status__ne=archived

// 2. String-keyed (lookup at compile of the queryset; runtime field name resolution)
Post::objects().filter("author_id", Op::Eq, SqlValue::I64(42));

// 3. Typed columns (compile-time field check)
Post::objects().where_(Post::author_id.eq(42));

Syntax	Use when
HTTP query	Public API endpoints — the ViewSet parses these for you, like DRF's filter backends
String-keyed `.filter`	Generic CRUD or admin code, where field names come from config and aren't known at compile time
Typed `.where_`	Your app code — the preferred default. The compiler checks the field exists and the types match

You can mix all three in a single queryset.

Errors

Rustango has 20+ error types — one per module — instead of a single catch-all exception class. They form a loose hierarchy, and a top-level type ties them together so you rarely deal with them individually.

Layer	Module	Error type
ORM I/O	`sql::*`	`ExecError`
ORM SQL writer	`sql::*`	`SqlError` (variant of `ExecError::Sql`)
Migrations	`migrate::*`	`MigrateError`
Forms	`forms::*`	`FormError` (single) + `FormErrors` (multi) + `ModelFormError`
Cache	`cache::*`	`CacheError`
Email	`email::*`	`MailError`
Storage	`storage::*`	`StorageError`
Auth backends	`tenancy::auth_backends`	`AuthError`
JWT	`tenancy::jwt_lifecycle`	`JwtIssueError`
API keys	`api_keys::*`	`ApiKeyError`
Passwords	`passwords::*`	`PasswordError`
Webhooks	`webhook::*`	(returns bool, no dedicated error)
Signed URLs	`signed_url::*`	`SignedUrlError`
Bulk actions	`bulk_actions::*`	`BulkActionError`
Fixtures	`fixtures::*`	`FixtureError`
IP filter	`ip_filter::*`	`IpFilterError`
i18n	`i18n::*`	`I18nError`
Env	`env::*`	`EnvError`
Secrets	`secrets::*`	`SecretsError`
API responses	`api_errors::*`	`ApiError` (HTTP-shaped, not internal)

The one to use in handlers: there's a top-level RustangoError enum (exported from lib.rs, along with the alias RustangoResult<T> = Result<T, RustangoError>). It wraps every error above with From conversions, so the ? operator promotes any module error into it automatically. It also implements IntoResponse, meaning each variant maps to a sensible HTTP status when returned from a handler. The split is simple: use the specific per-module errors deep in your code, and RustangoError / RustangoResult at the handler boundary. For errors from third-party crates, RustangoError::other(msg) / RustangoError::other_from(e) wrap any std::error::Error + Send + Sync + 'static.

A handler example:

use rustango::api_errors::ApiError;

async fn handler() -> Result<Json<X>, ApiError> {
    let post = Post::objects().get(&pool, 1).await
        .map_err(|e| ApiError::internal(e.to_string()))?;
    Ok(Json(post))
}

ApiError implements IntoResponse, so returning it produces the standard JSON error shape automatically.

Module naming

A module's name should let you guess the type names inside it without opening the file.

Module	Hosts	Lookup confidence
`cache`	`Cache` trait, `*Cache` impls	high
`email`	`Mailer` trait, `Email`, `*Mailer` impls	high
`storage`	`Storage` trait, `*Storage` impls	high
`signed_url`	`sign`, `verify` free fns	medium
`text`	`slugify`, `html_escape`, `truncate` free fns	medium
`bulk_actions`	`BulkActionRegistry`, `BulkAction`, `Bulk*Action` impls	high
`api_keys`	`generate_key`, `verify_key`, `split_token` free fns	medium

Avoid this: a module that holds an unrelated grab-bag (utils, helpers, common). If you can't name the single concept it covers, it shouldn't be a module.

Builders vs config structs

There are two ways to hand over a configured object. Pick based on how users will set it up.

Builder: chained setters, no `Default`

let l = SecurityHeadersLayer::strict()
    .csp(...)
    .header("x-extra", "v");

Use when:

Most users start from a preset and tweak
Setters express intent (e.g. .errors_only() reads better than .log_success(false))
The struct has many optional fields (10+)

Config struct: set fields directly, fall back to `Default`

let l = AccessLogLayer {
    log_success: false,
    include_ip: true,
    slow_threshold_ms: 500,
    ..Default::default()
};

Use when:

Users want to be explicit about every field
Reflection / serialization matters
Updating in place is common (config.field = ...)

As a rule, Rustango uses builders for HTTP middleware (security_headers, cors, rate_limit, and so on) and config structs for plain data carriers (Email, AccessLogLayer, RateLimitLayer's internal state).

Feature flags

A feature is a Cargo build flag (Cargo.toml's [features]) that switches a chunk of the crate on or off — similar to Laravel package discovery or Django's INSTALLED_APPS, but resolved at compile time. Every module that pulls in an extra dependency sits behind one. The default set is "you almost certainly want these":

default = [
    "postgres", "manage", "admin", "config", "forms", "serializer",
    "cache", "signals", "email", "storage", "scheduler", "secrets", "totp",
    "webhook", "webhook-delivery", "api_keys", "passwords", "signed_url",
    "notifications", "casts", "jobs", "jobs-postgres", "auth_flows", "sse",
    "websocket", "oauth2", "http-client", "compression", "openapi",
    "csp-nonce", "sessions", "hmac-auth", "jwt", "uploads", "storage-s3",
    "media", "runserver", "template_views",
]

Off by default: features that pull in heavy dependencies or external services:

tenancy — adds argon2, hmac, sha2, cookie, tower (most apps don't need it)
cache-redis — adds the redis crate (most apps are fine with the in-memory cache)
csrf — turned on automatically by admin, but available on its own too

To trim a binary that doesn't need everything, opt out of the defaults and list only what you use:

rustango = { version = "0.43", default-features = false, features = ["postgres", "admin"] }

Macros vs runtime

A macro is code that generates code at compile time (#[derive(Model)] and friends) — roughly what a Rails generator does, except it runs every build and the compiler checks the result. The split below decides what's done by a macro versus plain runtime code.

Concern	Macro or runtime?
Schema metadata for `inventory`	macro (`#[derive(Model)]`)
Schema-driven query building	runtime (uses the `&'static ModelSchema` from the macro)
Form parsing	macro for the struct (`#[derive(Form)]`); runtime for the parsing logic
Serializer field selection	macro (`#[derive(Serializer)]`) — emits a `from_model` + custom `Serialize`
Migration ops	runtime (`SchemaSnapshot` diff)
Signal dispatch	runtime (`TypeId`-keyed registry, no per-model macro)
Auth backend pattern matching	runtime (`#[async_trait]` on `AuthBackend`)

Rule: use a macro for anything the compiler can verify up front (field names must exist, types must match). Use runtime code for anything that varies per request or per deployment.

Contributing

When you add a new feature, follow these steps:

One module per concept, in crates/rustango/src/<name>.rs or <name>/mod.rs.
Add module-level rustdoc with a "Quick start" example in a // ignore block.
Add a feature flag if you pull in a new dependency — name it after the module (feature = "<name>").
Re-export the module from lib.rs with a one-line rustdoc.
Put unit tests in the same file, behind #[cfg(test)] mod tests — no database unless you truly need one.
Put integration tests in crates/rustango/tests/<name>.rs for the end-to-end story.
Don't add a new error type unless the existing ones don't fit — extend an existing enum first.
Follow the return-type guide when choosing Result, Option, or bool.
Adding a manage subcommand? Wire it into the match cmd dispatcher and print_help, add a test in crates/rustango/tests/migrate_manage.rs, and document a row in docs/manage.md.
Update CHANGELOG.md with an Added entry under the next version.

When you break the API:

Mark the old item #[deprecated(since = "...", note = "use X instead")] and keep it for one full minor version before removing it.
Record it in CHANGELOG.md under Breaking changes.
Link the migration path from the release notes.