8 releases
0.1.7 | Nov 9, 2024 |
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0.1.6 | Nov 9, 2024 |
0.1.5 | Oct 15, 2024 |
#926 in Data structures
346 downloads per month
Used in 11 crates
24KB
394 lines
samplify-rs
A Powerful and Flexible Sample Data Generator for Rust
samplify-rs is a Rust library designed to simplify the process of generating sample data for testing, prototyping, and development purposes. Leveraging Rust’s powerful procedural macros and conditional compilation features, samplify-rs allows you to automatically generate realistic and customizable sample instances of your data structures without polluting your production code.
Features
- Automatic Derivation: Use the Sampleable derive macro to automatically implement sample generation for your structs and enums.
- Field-Level Customization: Annotate your fields with attributes to specify value ranges, patterns, choices, lengths, and inclusion probabilities.
- Support for Complex Structures: Handle deeply nested and complex data structures with optional fields and variations effortlessly.
- Conditional Compilation: Enable or disable sample generation code using a feature flag, keeping your production builds clean and efficient.
- Extensibility: Easily integrate with existing projects and extend functionality without modifying original data structures.
Getting Started
- Add samplify-rs to Your Project
Add the following to your Cargo.toml:
[dependencies]
samplify-rs = "0.1.0"
- Include the macro in your code
use samplify_rs::Sampleable;
- Annotate Your Data Structures
Use #[cfg_attr(feature = "sample", derive(Sampleable))]
on your structs and enums.
#[derive(Debug, Serialize, Deserialize)]
#[cfg_attr(feature = "sample", derive(Sampleable))]
struct PaymentInstruction {
currency: String,
amount: f64,
}
Key Benefits
- Non-Intrusive: Does not require modification of your production codebase; sample code is conditionally compiled.
- Customizable Data Generation: Fine-tune how sample data is generated for each field.
- Improved Testing: Quickly generate realistic test data to enhance your testing processes.
- Lightweight: Excludes sample generation code from production builds, ensuring optimal performance and binary size.
Example
use samplify_rs::Sampleable;
use serde::{Deserialize, Serialize};
use serde_json;
#[derive(Debug, Serialize, Deserialize, Sampleable)]
struct PaymentInstruction {
currency: String,
amount: f64,
}
fn main() -> Result<(), String> {
let config_json = r#"
{
"amount": [10.0, 1000.0],
"currency": ["USD", "EUR", "GBP"]
}
"#;
let config_map: serde_json::Map<String, serde_json::Value> = serde_json::from_str(config_json).map_err(|e| e.to_string())?;
let sample_payment = PaymentInstruction::sample(&config_map)?;
println!("{:?}", sample_payment);
Ok(())
}
Dependencies
~1.5MB
~36K SLoC