# JSON Tools RS
A high-performance Rust library for advanced JSON manipulation with SIMD-accelerated parsing, including flattening and unflattening nested JSON structures.
## Features
- **Unified APIs**: JsonFlattener and JsonUnflattener with matching builder patterns
- **Complete Roundtrip Support**: Flatten JSON and unflatten it back to original structure
- **High Performance**: SIMD-accelerated JSON parsing with optimized algorithms
- **Builder Pattern**: Fluent, chainable API for easy configuration
- **Comprehensive Filtering**: Remove empty values, nulls, empty objects/arrays
- **Advanced Replacements**: Support for literal and regex-based key/value replacements
- **Batch Processing**: Handle single JSON strings or arrays of JSON strings
- **Python Bindings**: Full Python support via maturin/PyO3
## Quick Start
### Rust
#### Flattening JSON
```rust
use json_tools_rs::{JsonFlattener, JsonOutput};
let json = r#"{"user": {"name": "John", "details": {"age": null, "city": ""}}}"#;
let result = JsonFlattener::new()
.remove_empty_strings(true)
.remove_nulls(true)
.flatten(json)?;
match result {
JsonOutput::Single(flattened) => println!("{}", flattened),
JsonOutput::Multiple(_) => unreachable!(),
}
// Output: {"user.name": "John"}
```
#### Unflattening JSON
```rust
use json_tools_rs::{JsonUnflattener, JsonOutput};
let flattened = r#"{"user.name": "John", "user.age": 30, "items.0": "first", "items.1": "second"}"#;
let result = JsonUnflattener::new().unflatten(flattened)?;
match result {
JsonOutput::Single(unflattened) => println!("{}", unflattened),
JsonOutput::Multiple(_) => unreachable!(),
}
// Output: {"user": {"name": "John", "age": 30}, "items": ["first", "second"]}
```
#### Roundtrip Example
```rust
use json_tools_rs::{JsonFlattener, JsonUnflattener, JsonOutput};
let original = r#"{"user": {"name": "John", "age": 30}, "items": [1, 2, {"nested": "value"}]}"#;
// Flatten
let flattened = JsonFlattener::new().flatten(original)?.into_single();
// Unflatten back
let restored = JsonUnflattener::new().unflatten(&flattened)?.into_single();
// original and restored are equivalent JSON structures
assert_eq!(
serde_json::from_str::<serde_json::Value>(original)?,
serde_json::from_str::<serde_json::Value>(&restored)?
);
```
### Python
#### Flattening
```python
import json_tools_rs
# Perfect type matching - input type = output type!
# JSON string input → JSON string output
flattener = json_tools_rs.JsonFlattener()
result = flattener.flatten('{"user": {"name": "John", "age": 30}}')
print(result) # '{"user.name": "John", "user.age": 30}' (str)
# Python dict input → Python dict output (much more convenient!)
result = flattener.flatten({"user": {"name": "John", "age": 30}})
print(result) # {'user.name': 'John', 'user.age': 30} (dict)
# Advanced configuration
flattener = (json_tools_rs.JsonFlattener()
.remove_empty_strings(True)
.remove_nulls(True)
.separator("_")
.lowercase_keys(True))
result = flattener.flatten({"User": {"Name": "John", "Email": ""}})
print(result) # {'user_name': 'John'} (dict)
```
#### Unflattening
```python
import json_tools_rs
# JSON string input → JSON string output
unflattener = json_tools_rs.JsonUnflattener()
result = unflattener.unflatten('{"user.name": "John", "user.age": 30}')
print(result) # '{"user": {"name": "John", "age": 30}}' (str)
# Python dict input → Python dict output
result = unflattener.unflatten({"user.name": "John", "items.0": "first", "items.1": "second"})
print(result) # {'user': {'name': 'John'}, 'items': ['first', 'second']} (dict)
# Advanced configuration with builder pattern
unflattener = (json_tools_rs.JsonUnflattener()
.separator("_")
.lowercase_keys(True)
.key_replacement("prefix_", "user_")
.value_replacement("@company.org", "@example.com"))
result = unflattener.unflatten({"PREFIX_NAME": "john@company.org"})
print(result) # {'user': {'name': 'john@example.com'}} (dict)
# Roundtrip example
original = {"user": {"name": "John", "age": 30}, "items": [1, 2, {"nested": "value"}]}
flattened = json_tools_rs.JsonFlattener().flatten(original)
restored = json_tools_rs.JsonUnflattener().unflatten(flattened)
assert original == restored # Perfect roundtrip!
```
#### Batch Processing
```python
# Flattening: List[str] input → List[str] output
results = flattener.flatten(['{"a": 1}', '{"b": 2}'])
print(results) # ['{"a": 1}', '{"b": 2}'] (list of strings)
# Flattening: List[dict] input → List[dict] output
results = flattener.flatten([{"a": 1}, {"b": 2}])
print(results) # [{'a': 1}, {'b': 2}] (list of dicts)
# Unflattening: List[str] input → List[str] output
unflattener = json_tools_rs.JsonUnflattener()
results = unflattener.unflatten(['{"a.b": 1}', '{"c.d": 2}'])
print(results) # ['{"a": {"b": 1}}', '{"c": {"d": 2}}'] (list of strings)
# Unflattening: List[dict] input → List[dict] output
results = unflattener.unflatten([{"a.b": 1}, {"c.d": 2}])
print(results) # [{'a': {'b': 1}}, {'c': {'d': 2}}] (list of dicts)
```
## Installation
### Rust
Add to your `Cargo.toml`:
```toml
[dependencies]
json-tools-rs = "0.1.0"
```
### Python
Install from PyPI (when published):
```bash
pip install json-tools-rs
```
Or build from source:
```bash
git clone https://github.com/amaye15/JSON-Tools-rs.git
cd JSON-Tools-rs
maturin develop --features python
```
## Performance
JSON Tools RS delivers excellent performance across different workloads:
- **Basic flattening**: 2,000+ keys/ms
- **Advanced configuration**: 1,300+ keys/ms
- **Regex replacements**: 1,800+ keys/ms
- **Batch processing**: 1,900+ keys/ms
## API Reference
### JsonFlattener
The main entry point for all JSON flattening operations. Provides a builder pattern API:
- `remove_empty_strings(bool)` - Remove keys with empty string values
- `remove_nulls(bool)` - Remove keys with null values
- `remove_empty_objects(bool)` - Remove keys with empty object values
- `remove_empty_arrays(bool)` - Remove keys with empty array values
- `key_replacement(find, replace)` - Add key replacement pattern
- `value_replacement(find, replace)` - Add value replacement pattern
- `separator(sep)` - Set separator for nested keys (default: ".")
- `lowercase_keys(bool)` - Convert all keys to lowercase
- `flatten(input)` - Flatten the JSON input
### JsonUnflattener
The companion to JsonFlattener that provides the inverse operation - converting flattened JSON back to nested JSON structure. Provides the same builder pattern API:
- `key_replacement(find, replace)` - Add key replacement pattern (applied before unflattening)
- `value_replacement(find, replace)` - Add value replacement pattern (applied before unflattening)
- `separator(sep)` - Set separator for nested keys (default: ".")
- `lowercase_keys(bool)` - Convert all keys to lowercase before processing
- `unflatten(input)` - Unflatten the JSON input
## License
This project is licensed under either of
- Apache License, Version 2.0
- MIT License
at your option.
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"description": "# JSON Tools RS\n\nA high-performance Rust library for advanced JSON manipulation with SIMD-accelerated parsing, including flattening and unflattening nested JSON structures.\n\n## Features\n\n- **Unified APIs**: JsonFlattener and JsonUnflattener with matching builder patterns\n- **Complete Roundtrip Support**: Flatten JSON and unflatten it back to original structure\n- **High Performance**: SIMD-accelerated JSON parsing with optimized algorithms\n- **Builder Pattern**: Fluent, chainable API for easy configuration\n- **Comprehensive Filtering**: Remove empty values, nulls, empty objects/arrays\n- **Advanced Replacements**: Support for literal and regex-based key/value replacements\n- **Batch Processing**: Handle single JSON strings or arrays of JSON strings\n- **Python Bindings**: Full Python support via maturin/PyO3\n\n## Quick Start\n\n### Rust\n\n#### Flattening JSON\n\n```rust\nuse json_tools_rs::{JsonFlattener, JsonOutput};\n\nlet json = r#\"{\"user\": {\"name\": \"John\", \"details\": {\"age\": null, \"city\": \"\"}}}\"#;\nlet result = JsonFlattener::new()\n .remove_empty_strings(true)\n .remove_nulls(true)\n .flatten(json)?;\n\nmatch result {\n JsonOutput::Single(flattened) => println!(\"{}\", flattened),\n JsonOutput::Multiple(_) => unreachable!(),\n}\n// Output: {\"user.name\": \"John\"}\n```\n\n#### Unflattening JSON\n\n```rust\nuse json_tools_rs::{JsonUnflattener, JsonOutput};\n\nlet flattened = r#\"{\"user.name\": \"John\", \"user.age\": 30, \"items.0\": \"first\", \"items.1\": \"second\"}\"#;\nlet result = JsonUnflattener::new().unflatten(flattened)?;\n\nmatch result {\n JsonOutput::Single(unflattened) => println!(\"{}\", unflattened),\n JsonOutput::Multiple(_) => unreachable!(),\n}\n// Output: {\"user\": {\"name\": \"John\", \"age\": 30}, \"items\": [\"first\", \"second\"]}\n```\n\n#### Roundtrip Example\n\n```rust\nuse json_tools_rs::{JsonFlattener, JsonUnflattener, JsonOutput};\n\nlet original = r#\"{\"user\": {\"name\": \"John\", \"age\": 30}, \"items\": [1, 2, {\"nested\": \"value\"}]}\"#;\n\n// Flatten\nlet flattened = JsonFlattener::new().flatten(original)?.into_single();\n// Unflatten back\nlet restored = JsonUnflattener::new().unflatten(&flattened)?.into_single();\n\n// original and restored are equivalent JSON structures\nassert_eq!(\n serde_json::from_str::<serde_json::Value>(original)?,\n serde_json::from_str::<serde_json::Value>(&restored)?\n);\n```\n\n### Python\n\n#### Flattening\n\n```python\nimport json_tools_rs\n\n# Perfect type matching - input type = output type!\n\n# JSON string input \u2192 JSON string output\nflattener = json_tools_rs.JsonFlattener()\nresult = flattener.flatten('{\"user\": {\"name\": \"John\", \"age\": 30}}')\nprint(result) # '{\"user.name\": \"John\", \"user.age\": 30}' (str)\n\n# Python dict input \u2192 Python dict output (much more convenient!)\nresult = flattener.flatten({\"user\": {\"name\": \"John\", \"age\": 30}})\nprint(result) # {'user.name': 'John', 'user.age': 30} (dict)\n\n# Advanced configuration\nflattener = (json_tools_rs.JsonFlattener()\n .remove_empty_strings(True)\n .remove_nulls(True)\n .separator(\"_\")\n .lowercase_keys(True))\n\nresult = flattener.flatten({\"User\": {\"Name\": \"John\", \"Email\": \"\"}})\nprint(result) # {'user_name': 'John'} (dict)\n```\n\n#### Unflattening\n\n```python\nimport json_tools_rs\n\n# JSON string input \u2192 JSON string output\nunflattener = json_tools_rs.JsonUnflattener()\nresult = unflattener.unflatten('{\"user.name\": \"John\", \"user.age\": 30}')\nprint(result) # '{\"user\": {\"name\": \"John\", \"age\": 30}}' (str)\n\n# Python dict input \u2192 Python dict output\nresult = unflattener.unflatten({\"user.name\": \"John\", \"items.0\": \"first\", \"items.1\": \"second\"})\nprint(result) # {'user': {'name': 'John'}, 'items': ['first', 'second']} (dict)\n\n# Advanced configuration with builder pattern\nunflattener = (json_tools_rs.JsonUnflattener()\n .separator(\"_\")\n .lowercase_keys(True)\n .key_replacement(\"prefix_\", \"user_\")\n .value_replacement(\"@company.org\", \"@example.com\"))\n\nresult = unflattener.unflatten({\"PREFIX_NAME\": \"john@company.org\"})\nprint(result) # {'user': {'name': 'john@example.com'}} (dict)\n\n# Roundtrip example\noriginal = {\"user\": {\"name\": \"John\", \"age\": 30}, \"items\": [1, 2, {\"nested\": \"value\"}]}\nflattened = json_tools_rs.JsonFlattener().flatten(original)\nrestored = json_tools_rs.JsonUnflattener().unflatten(flattened)\nassert original == restored # Perfect roundtrip!\n```\n\n#### Batch Processing\n\n```python\n# Flattening: List[str] input \u2192 List[str] output\nresults = flattener.flatten(['{\"a\": 1}', '{\"b\": 2}'])\nprint(results) # ['{\"a\": 1}', '{\"b\": 2}'] (list of strings)\n\n# Flattening: List[dict] input \u2192 List[dict] output\nresults = flattener.flatten([{\"a\": 1}, {\"b\": 2}])\nprint(results) # [{'a': 1}, {'b': 2}] (list of dicts)\n\n# Unflattening: List[str] input \u2192 List[str] output\nunflattener = json_tools_rs.JsonUnflattener()\nresults = unflattener.unflatten(['{\"a.b\": 1}', '{\"c.d\": 2}'])\nprint(results) # ['{\"a\": {\"b\": 1}}', '{\"c\": {\"d\": 2}}'] (list of strings)\n\n# Unflattening: List[dict] input \u2192 List[dict] output\nresults = unflattener.unflatten([{\"a.b\": 1}, {\"c.d\": 2}])\nprint(results) # [{'a': {'b': 1}}, {'c': {'d': 2}}] (list of dicts)\n```\n\n## Installation\n\n### Rust\n\nAdd to your `Cargo.toml`:\n\n```toml\n[dependencies]\njson-tools-rs = \"0.1.0\"\n```\n\n### Python\n\nInstall from PyPI (when published):\n\n```bash\npip install json-tools-rs\n```\n\nOr build from source:\n\n```bash\ngit clone https://github.com/amaye15/JSON-Tools-rs.git\ncd JSON-Tools-rs\nmaturin develop --features python\n```\n\n## Performance\n\nJSON Tools RS delivers excellent performance across different workloads:\n\n- **Basic flattening**: 2,000+ keys/ms\n- **Advanced configuration**: 1,300+ keys/ms \n- **Regex replacements**: 1,800+ keys/ms\n- **Batch processing**: 1,900+ keys/ms\n\n## API Reference\n\n### JsonFlattener\n\nThe main entry point for all JSON flattening operations. Provides a builder pattern API:\n\n- `remove_empty_strings(bool)` - Remove keys with empty string values\n- `remove_nulls(bool)` - Remove keys with null values\n- `remove_empty_objects(bool)` - Remove keys with empty object values\n- `remove_empty_arrays(bool)` - Remove keys with empty array values\n- `key_replacement(find, replace)` - Add key replacement pattern\n- `value_replacement(find, replace)` - Add value replacement pattern\n- `separator(sep)` - Set separator for nested keys (default: \".\")\n- `lowercase_keys(bool)` - Convert all keys to lowercase\n- `flatten(input)` - Flatten the JSON input\n\n### JsonUnflattener\n\nThe companion to JsonFlattener that provides the inverse operation - converting flattened JSON back to nested JSON structure. Provides the same builder pattern API:\n\n- `key_replacement(find, replace)` - Add key replacement pattern (applied before unflattening)\n- `value_replacement(find, replace)` - Add value replacement pattern (applied before unflattening)\n- `separator(sep)` - Set separator for nested keys (default: \".\")\n- `lowercase_keys(bool)` - Convert all keys to lowercase before processing\n- `unflatten(input)` - Unflatten the JSON input\n\n## License\n\nThis project is licensed under either of\n\n- Apache License, Version 2.0\n- MIT License\n\nat your option.\n\n",
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