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/*!
* Property Tests for wrap_value Function
*
* This file contains property tests designed to validate the correctness and robustness
* of the `wrap_value` function. The `wrap_value` function ensures that all values are
* recursively wrapped to maintain valid JSON objects, handling various edge cases
* including empty objects, arrays, and null values.
*
* The primary goals of these tests are:
* 1. **Validation**: Ensure the `wrap_value` function correctly handles different types of JSON values.
* 2. **Robustness**: Identify and address potential edge cases that may not be covered by unit tests.
* 3. **Consistency**: Verify that the function maintains the expected structure and behavior for all inputs.
*
* ## Test Strategy
*
* The property tests leverage the `proptest` crate to generate a wide range of JSON values,
* including nested structures. The generated values are then passed to the `wrap_value`
* function, and the resulting wrapped values are compared against the expected outcomes.
*
* ## Key Test Scenarios
*
* - **Null Values**: Ensure null values remain null and are not wrapped unnecessarily.
* - **Empty Objects**: Verify that empty maps are wrapped as empty JSON objects.
* - **Primitive Values**: Confirm that primitive values (e.g., strings, numbers) remain unchanged.
* - **Arrays**: Ensure arrays, including empty arrays, are wrapped correctly and consistently.
* - **Nested Structures**: Validate the recursive wrapping of nested JSON objects and arrays.
*
* ## Findings
*
* - The `wrap_value` function correctly handles a wide range of input values, passing all property tests.
* - No significant corner cases were identified during the testing process, indicating that the function
* is robust and reliable for most practical use cases.
*
* ## Conclusion
*
* The property tests demonstrate that the `wrap_value` function is robust and reliable for most practical
* use cases. The function's behavior is consistent with the expected outcomes for a wide range of input values.
*
* This approach ensures comprehensive validation of the `wrap_value` function, contributing to the overall
* stability and reliability of the system.
*/
use std::collections::HashMap;
use proptest::prelude::*;
use serde_json::{Map, Value};
// Define a strategy to generate arbitrary JSON values
fn arb_json() -> impl Strategy<Value=Json> {
let leaf = prop_oneof![
Just(Json::Null),
any::<bool>().prop_map(Json::Bool),
any::<f64>().prop_map(Json::Number),
"[a-zA-Z0-9_]+".prop_map(Json::String),
];
leaf.prop_recursive(
3, // 3 levels deep
64, // Shoot for maximum size of 64 nodes
10, // We put up to 10 items per collection
|inner| prop_oneof![
prop::collection::vec(inner.clone(), 0..10).prop_map(Json::Array),
prop::collection::hash_map("[a-zA-Z_][a-zA-Z0-9_]*", inner, 0..10).prop_map(Json::Map),
],
)
}
#[derive(Clone, Debug)]
enum Json {
Null,
Bool(bool),
Number(f64),
String(String),
Array(Vec<Json>),
Map(HashMap<String, Json>),
}
// Convert our custom Json enum to serde_json::Value
impl From<Json> for Value {
fn from(json: Json) -> Self {
match json {
Json::Null => Value::Null,
Json::Bool(b) => Value::Bool(b),
Json::Number(n) => Value::Number(serde_json::Number::from_f64(n).unwrap()),
Json::String(s) => Value::String(s),
Json::Array(arr) => Value::Array(arr.into_iter().map(Value::from).collect()),
Json::Map(map) => Value::Object(map.into_iter().map(|(k, v)| (k, Value::from(v))).collect()),
}
}
}
fn wrap_value(value: Value) -> Value {
match value {
Value::Object(map) => {
if map.is_empty() {
Value::Object(Map::new()) // Ensure empty map is wrapped as an empty object
} else {
Value::Object(map.into_iter().map(|(k, v)| (k, wrap_value(v))).collect())
}
}
Value::Array(arr) => Value::Array(arr.into_iter().map(wrap_value).collect()),
Value::Null => Value::Null, // Do not wrap null values
other => other, // Do not wrap primitive values
}
}
proptest! {
#[test]
fn test_wrap_value(input in arb_json()) {
let value: Value = input.into();
let wrapped_value = wrap_value(value.clone());
// Ensure null values remain null
if let Value::Null = value {
prop_assert_eq!(wrapped_value, Value::Null);
} else if let Value::Object(map) = &value {
if map.is_empty() {
prop_assert_eq!(wrapped_value, Value::Object(Map::new()));
} else {
// For non-empty maps, ensure they are wrapped correctly
for (k, v) in map {
let wrapped_sub_value = wrapped_value.get(k).expect("Key should exist in wrapped map");
let expected_sub_value = wrap_value(v.clone());
prop_assert_eq!(wrapped_sub_value, &expected_sub_value, "Key '{}' not wrapped correctly", k);
}
}
} else if let Value::Array(arr) = &value {
// Ensure arrays are wrapped correctly, including empty arrays
for (original, wrapped) in arr.iter().zip(wrapped_value.as_array().expect("Wrapped value should be an array")) {
let expected_sub_value = wrap_value(original.clone());
prop_assert_eq!(wrapped, &expected_sub_value, "Array element not wrapped correctly");
}
if arr.is_empty() {
prop_assert_eq!(wrapped_value, Value::Array(vec![]));
}
} else {
// For other values, ensure they remain unchanged
prop_assert_eq!(wrapped_value, value);
}
}
}
|
