Crates.io | elucify |
lib.rs | elucify |
version | 0.1.0 |
source | src |
created_at | 2022-07-28 01:52:44.212586 |
updated_at | 2022-07-28 01:52:44.212586 |
description | Simple SQL Database ORM |
homepage | |
repository | https://eliblaney.com/eliblaney/elucify |
max_upload_size | |
id | 634224 |
size | 55,959 |
Elucify is a simple Postgres ORM for Rust apps using Rocket.
Currently, the project supports integrating Rust-based models with existing Postgres databases. It supporings handling models when creating, reading, filtering, updating, deleting, converting to JSON, and easily querying related models.
Elucify was created mostly because I found that most well established, robust Rust ORMs did not provide much high level ease of use that I've seen in ORMs from other languages. Mainly, I wanted something that would abstract away the SQL logic and allow users to plainly use Rust structs with macro-given function implementations.
First, a Db
struct must be defined at the crate level, like this example from the Rocket documentation:
use rocket_db_pools::{sqlx, Database};
#[derive(Database)]
#[database("sqlite_logs")]
pub struct Logs(sqlx::SqlitePool);
#[launch]
fn rocket() -> _ {
rocket::build().attach(Logs::init())
}
Next, models can be defined easily from anywhere as so:
#[model]
pub struct User {
pub username: String,
pub email: String,
pub created_at: DateTime<Utc>,
pub last_login: DateTime<Utc>,
}
#[model(table = "credentials")]
#[derive(Related)]
pub struct Credentials {
#[foreign(type = "User")]
pub user_id: i32,
pub password: String,
}
Notice that the id
column is omitted, as it is added implicitly. Structs that have foreign keys (such as user_id
) must derive Related
. By default, table names are the equivalent to the lowercase struct name appended with an 's', so that User
references the table users
.
When a model is created in Elucify, the following functions are given:
// Return table name (such as "users")
table() -> &'static str
// Find the model in the database with given id
find(id: i32, mut db: Connection<Db>) -> (Option<Self>, Connection<Db>)
// Find the first model with some field constraint
find_where(field: &str, value: &String, mut db: Connection<Db>) -> (Option<Self>, Connection<Db>)
// Identical to find(i32, Connection<Db>)
read(id: i32, mut db: Connection<Db>) -> (Option<Self>, Connection<Db>)
// Delete a record from the database
delete(id: i32, mut db: Connection<Db>) -> (Result<u64, Error>, Connection<Db>)
// Construct a new model record from given data
new(...fields) -> Self
// Insert or update a record to the database
save(&self, mut db: Connection<Db>) -> (Option<Self>, Connection<Db>)
// Convert a model record to JSON
json(self) -> rocket::serde::json::Json<Self>
For models that are related to other models, additional functions are implemented. With the example of User
and Credentials
, the following is given:
// Get all credentials records that reference this user
user.find_credentials(&self, mut db: Connection<Db>) -> (Vec<Credentials>, Connection<Db>)
// Get the user record associated with these credentials
credentials.get_user(&self, mut db: Connection<Db>) -> (Option<User>, Connection<Db>)
The project is in a basic form, created from a subset of another project I am working on. In the future, I plan to allow Elucify to use any database format and not rely on rocket::serde
for JSON conversion.