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Crate entity_derive

Crate entity_derive 

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entity-derive

One macro to rule them all

Generate DTOs, repositories, mappers, and SQL from a single entity definition

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Coverage License: MIT REUSE Compliant Wiki


§The Problem

Building a typical CRUD application requires writing the same boilerplate over and over: entity struct, create DTO, update DTO, response DTO, row struct, repository trait, SQL implementation, and 6+ From implementations.

That’s 200+ lines of boilerplate for a single entity.

§The Solution

#[derive(Entity)]
#[entity(table = "users")]
pub struct User {
    #[id]
    pub id: Uuid,

    #[field(create, update, response)]
    pub name: String,

    #[field(create, update, response)]
    pub email: String,

    #[field(skip)]
    pub password_hash: String,

    #[field(response)]
    #[auto]
    pub created_at: DateTime<Utc>,
}

Done. The macro generates everything else.


§Installation

[dependencies]
entity-derive = { version = "0.8", features = ["postgres", "api"] }

§Feature flags

FeatureDefaultWhat it does
postgresGenerate sqlx::PgPool-backed repository implementations
eventsGenerate {Entity}Event enum (Created / Updated / Deleted variants)
commandsCQRS command pattern: command structs + dispatcher (#[entity(commands)], #[command(...)])
hooks{Entity}Hooks trait with before/after lifecycle methods
transactions{Entity}TransactionRepo adapter + transaction builder helpers (#[entity(transactions)])
aggregate_rootNew{Entity} constructor type and transactional save() (#[entity(aggregate_root)])
migrationsCompile-time MIGRATION_UP / MIGRATION_DOWN SQL constants (#[entity(migrations)])
projectionsProjection structs and find_by_id_<projection> lookups (#[projection(...)])
clickhouseGenerate ClickHouse-backed repositories (planned)
mongodbGenerate MongoDB-backed repositories (planned)
streams{Entity}Subscriber using Postgres LISTEN/NOTIFY (pulls in events)
apiGenerate HTTP handlers (axum) and utoipa OpenAPI schemas
validateWire up validator::Validate on generated DTOs
tracingWrap every generated async method in #[tracing::instrument] carrying entity + op span fields

Default features cover the full entity-attribute surface so existing projects work without changes. For lean builds, opt out of what you don’t need:

[dependencies]
# Just repositories — no events, hooks, commands, etc.
entity-derive = { version = "0.8", default-features = false, features = ["postgres"] }

If you use an entity attribute whose feature is disabled (e.g. #[entity(commands)] without features = ["commands"]), the macro emits a compile_error! at the attribute pointing to the missing feature.

Enable extras alongside the defaults:

[dependencies]
entity-derive = { version = "0.8", features = ["postgres", "api", "tracing", "streams"] }
tracing = "0.1"
tracing-subscriber = "0.3"

§Features

FeatureDescription
Zero Runtime CostAll code generation at compile time
Type SafeChange a field once, everything updates
Auto HTTP Handlersapi(handlers) generates CRUD endpoints + router
OpenAPI DocsAuto-generated Swagger/OpenAPI documentation
Query FilteringType-safe #[filter], #[filter(like)], #[filter(range)]
Relations#[belongs_to] and #[has_many]
Aggregate Roots#[entity(aggregate_root)] with New{T} DTOs and transactional save
TransactionsMulti-entity atomic operations
Lifecycle EventsCreated, Updated, Deleted events
Real-Time StreamsPostgres LISTEN/NOTIFY integration
Lifecycle Hook Traits{Entity}Hooks trait emitted with before_create / after_update / etc.; invocation is currently manual at your service layer (tracking auto-invocation: #127)
CQRS CommandsBusiness-oriented command pattern
Soft Deletedeleted_at timestamp support
Structured LoggingOpt-in tracing feature wraps every generated async method in #[tracing::instrument] with entity + op fields

§Documentation


§Quick Reference

§Entity Attributes

#[entity(
    table = "users",           // Required: table name
    schema = "public",         // Optional: schema (default: omitted)
    dialect = "postgres",      // Optional: database dialect
    aggregate_root,            // Optional: New{T} DTOs + transactional save
    soft_delete,               // Optional: use deleted_at instead of DELETE
    events,                    // Optional: generate lifecycle events
    streams,                   // Optional: real-time Postgres NOTIFY
    hooks,                     // Optional: before/after lifecycle hooks
    commands,                  // Optional: CQRS command pattern
    transactions,              // Optional: multi-entity transaction support
    api(                       // Optional: generate HTTP handlers + OpenAPI
        tag = "Users",
        handlers,              // All CRUD, or handlers(get, list, create)
        security = "bearer",   // cookie, bearer, api_key, or none
        title = "My API",
        api_version = "1.0.0",
    ),
)]

§Field Attributes

#[id]                          // Primary key (auto-generated UUID)
#[auto]                        // Auto-generated (timestamps)
#[field(create)]               // Include in CreateRequest
#[field(update)]               // Include in UpdateRequest
#[field(response)]             // Include in Response
#[field(skip)]                 // Exclude from all DTOs
#[filter]                      // Exact match filter
#[filter(like)]                // ILIKE pattern filter
#[filter(range)]               // Range filter (from/to)
#[belongs_to(Entity)]          // Foreign key relation
#[has_many(Entity)]            // One-to-many relation
#[projection(Name: fields)]    // Partial view

§Transactions

Mark each participating entity with #[entity(table = "…", transactions)] and drive a multi-entity transaction through Transaction::run. The closure receives &mut TransactionContext; run commits on Ok and rolls back on Err (or any panic) automatically:

use entity_core::transaction::Transaction;

Transaction::new(&pool)
    .run(async |ctx| {
        let user = ctx.users().create(create_user).await?;
        ctx.orders().create(order_for(user.id)).await?;
        Ok::<_, sqlx::Error>(user)
    })
    .await?;

Need conditional commit/rollback inside the closure? Use run_with_commit — it takes TransactionContext by value so the closure can call ctx.commit().await (or ctx.rollback().await) itself.

§Tracing

Opt-in with the tracing feature. Every generated async method (create, find_by_id, update, delete, list, find_by_<field>, projections, transaction adapters, stream subscribers) is wrapped in #[tracing::instrument(skip_all, fields(entity, op), err(Debug))].

entity-derive = { version = "0.8", features = ["postgres", "tracing"] }
tracing = "0.1"
tracing-subscriber = { version = "0.3", features = ["env-filter"] }

With a subscriber initialized, a failed User::create surfaces as:

ERROR entity.User.create: error=database error: duplicate key value violates unique constraint
  in entity.User.create with entity="User" op="create"

When the feature is off, generated code is byte-for-byte identical to a build without the attribute — zero runtime cost.


§Code Coverage

Coverage Sunburst

§entity-derive

One crate, all features. Re-exports:

§Quick Start

use entity_derive::{Entity, Pagination};

#[derive(Entity)]
#[entity(table = "users")]
pub struct User {
    #[id]
    pub id: Uuid,
    #[field(create, update, response)]
    pub name: String,
}

// Use pagination
let page = Pagination::page(0, 25);

Modules§

policy
Policy/authorization types for entity-derive.
prelude
Convenient re-exports for common usage.
streamstreams
Streaming types for real-time entity updates.
transaction
Transaction support for entity-derive.

Structs§

Pagination
Pagination parameters for list operations.

Enums§

CommandKind
Kind of business command.
EventKind
Kind of lifecycle event.
SortDirection
Sort direction for ordered queries.

Traits§

EntityCommand
Base trait for entity commands.
EntityEvent
Base trait for entity lifecycle events.
Repository
Base repository trait.

Attribute Macros§

async_trait

Derive Macros§

Entity
Derive macro for generating complete domain boilerplate from a single entity definition.
ValueObject
Derive macro for generating PostgreSQL enum boilerplate.