# BlitzText
BlitzText is a high-performance library for efficient keyword extraction and replacement in strings. It is based on the [FlashText](https://github.com/vi3k6i5/flashtext) and [Aho-Corasick](https://en.wikipedia.org/wiki/Aho%E2%80%93Corasick_algorithm) algorithm. There are both Rust and Python implementations.
Main difference form Aho-Corasick is that BlitzText only matches the longest pattern in a greedy manner.
<img src="https://github.com/praise2112/blitztext/raw/main/benches/benchmark_results_single.png">
## Table of Contents
- [Installation](#installation)
- [Usage](#usage)
- [Rust Usage](#rust-usage)
- [Python Usage](#python-usage)
- [Features](#Features)
- [1. Parallel Processing](#1-parallel-processing)
- [2. Fuzzy Matching](#2-fuzzy-matching)
- [3. Case Sensitivity](#3-case-sensitivity)
- [4. Overlapping Matches](#4-overlapping-matches)
- [5. Custom Non-Word Boundaries](#5-custom-non-word-boundaries)
- [Performance](#performance)
- [Contributing](#contributing)
- [License](#license)
## Installation
### Rust
Add this to your `Cargo.toml`:
```toml
[dependencies]
blitztext = "0.1.0"
```
or
```shell
cargo add blitztext
```
### Python
Install the library using pip:
```
pip install blitztext
```
## Usage
### Rust Usage
```rust
use blitztext::KeywordProcessor;
fn main() {
let mut processor = KeywordProcessor::new();
processor.add_keyword("rust", Some("Rust Lang"));
processor.add_keyword("programming", Some("Coding"));
let text = "I love rust programming";
let matches = processor.extract_keywords(text, None);
for m in matches {
println!("Found '{}' at [{}, {}]", m.keyword, m.start, m.end);
}
let replaced = processor.replace_keywords(text, None);
println!("Replaced text: {}", replaced);
// Output: "I love Rust Lang Coding"
}
```
### Python Usage
```python
from blitztext import KeywordProcessor
processor = KeywordProcessor()
processor.add_keyword("rust", "Rust Lang")
processor.add_keyword("programming", "Coding")
text = "I love rust programming"
matches = processor.extract_keywords(text)
for m in matches:
print(f"Found '{m.keyword}' at [{m.start}, {m.end}]")
replaced = processor.replace_keywords(text)
// Output: "I love Rust Lang Coding"
print(f"Replaced text: {replaced}")
```
## Features
### 1. Parallel Processing
For processing multiple texts in parallel:
```rust
// Rust
let texts = vec!["Text 1", "Text 2", "Text 3"];
let results = processor.parallel_extract_keywords_from_texts(&texts, None);
```
```python
# Python
texts = ["Text 1", "Text 2", "Text 3"]
results = processor.parallel_extract_keywords_from_texts(texts)
```
### 2. Fuzzy Matching
Both Rust and Python implementations support fuzzy matching:
```rust
// Rust
let matches = processor.extract_keywords(text, Some(0.8));
```
```python
# Python
matches = processor.extract_keywords(text, threshold=0.8)
```
### 3. Case Sensitivity
You can enable case-sensitive matching:
```rust
// Rust
let mut processor = KeywordProcessor::with_options(true, false);
processor.add_keyword("Rust", Some("Rust Lang"));
let matches = processor.extract_keywords("I love Rust and rust", None);
// Only "Rust" will be matched, not "rust"
```
```python
# Python
processor = KeywordProcessor(case_sensitive=True)
processor.add_keyword("Rust", "Rust Lang")
matches = processor.extract_keywords("I love Rust and rust")
# Only "Rust" will be matched, not "rust"
```
### 4. Overlapping Matches
Enable overlapping matches:
```rust
// Rust
let mut processor = KeywordProcessor::with_options(false, true);
processor.add_keyword("word", None);
processor.add_keyword("sword", None);
let matches = processor.extract_keywords("I have a sword", None);
// "word" will be matched
```
```python
# Python
processor = KeywordProcessor(allow_overlaps=True)
processor.add_keyword("word")
matches = processor.extract_keywords("I have a sword")
# "word" will be matched
```
### 5. Custom Non-Word Boundaries
This library uses the concept of non-word boundaries to determine where words begin and end. By default, alphanumeric characters and underscores are considered part of a word. You can customize this behavior to fit your specific needs.
#### Understanding Non-Word Boundaries
- Characters defined as non-word boundaries are considered part of a word.
- Characters not defined as non-word boundaries are treated as word separators.
#### Example
```rust
// Rust
let mut processor = KeywordProcessor::new();
processor.add_keyword("rust", None);
processor.add_keyword("programming", Some("coding"));
let text = "I-love-rust-programming-and-1coding2";
// Default behavior: '-' is a word separator
let matches = processor.extract_keywords(text, None);
assert_eq!(matches.len(), 2);
// Matches: "rust" and "coding"
// Add '-' as a non-word boundary
processor.add_non_word_boundary('-');
// Now '-' is considered part of words
let matches = processor.extract_keywords(text, None);
assert_eq!(matches.len(), 0);
// No matches, because "rust" and "programming" are now part of larger "words"
```
```python
# Python
processor = KeywordProcessor()
processor.add_keyword("rust")
processor.add_keyword("programming", "coding")
text = "I-love-rust-programming-and-1coding2"
# Default behavior: '-' is a word separator
matches = processor.extract_keywords(text)
assert len(matches) == 2
# Matches: "rust" and "coding"
# Add '-' as a non-word boundary
processor.add_non_word_boundary('-')
# Now '-' is considered part of words
matches = processor.extract_keywords(text)
assert len(matches) == 0
# No matches, because "rust" and "programming" are now part of larger "words"
```
#### Setting a whole new set of non-word boundaries
```rust
// Rust
processor.set_non_word_boundaries(&['-', '_', '@']);
```
```python
# Python
processor.set_non_word_boundaries(['-', '_', '@'])
```
## Performance
---
BlitzText is designed for high performance, making it suitable for processing large volumes of text.
Benchmark details [here](benches/benchmark_results.md).
Mult-threaded performance:
<img src="https://github.com/praise2112/blitztext/raw/main/benches/benchmark_results_multi.png">
## Contributing
---
Contributions are welcome! Please feel free to submit a Pull Request.
## Issues
If you encounter any problems, please file an [issue](https://github.com/praise2112/blitztext/issues) along with a detailed description.
## License
---
This project is licensed under the [MIT License](https://github.com/praise2112/blitztext/blob/main/LICENSE).
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"description": "# BlitzText\n\nBlitzText is a high-performance library for efficient keyword extraction and replacement in strings. It is based on the [FlashText](https://github.com/vi3k6i5/flashtext) and [Aho-Corasick](https://en.wikipedia.org/wiki/Aho%E2%80%93Corasick_algorithm) algorithm. There are both Rust and Python implementations.\nMain difference form Aho-Corasick is that BlitzText only matches the longest pattern in a greedy manner.\n\n<img src=\"https://github.com/praise2112/blitztext/raw/main/benches/benchmark_results_single.png\">\n\n## Table of Contents\n- [Installation](#installation)\n- [Usage](#usage)\n - [Rust Usage](#rust-usage)\n - [Python Usage](#python-usage)\n- [Features](#Features)\n - [1. Parallel Processing](#1-parallel-processing)\n - [2. Fuzzy Matching](#2-fuzzy-matching)\n - [3. Case Sensitivity](#3-case-sensitivity)\n - [4. Overlapping Matches](#4-overlapping-matches)\n - [5. Custom Non-Word Boundaries](#5-custom-non-word-boundaries)\n- [Performance](#performance)\n- [Contributing](#contributing)\n- [License](#license)\n\n\n## Installation\n\n### Rust\n\nAdd this to your `Cargo.toml`:\n\n```toml\n[dependencies]\nblitztext = \"0.1.0\"\n```\n\nor\n\n```shell\ncargo add blitztext\n```\n\n\n### Python\n\nInstall the library using pip:\n\n```\npip install blitztext\n```\n\n## Usage\n\n### Rust Usage\n\n```rust\nuse blitztext::KeywordProcessor;\n\nfn main() {\n let mut processor = KeywordProcessor::new();\n processor.add_keyword(\"rust\", Some(\"Rust Lang\"));\n processor.add_keyword(\"programming\", Some(\"Coding\"));\n\n let text = \"I love rust programming\";\n let matches = processor.extract_keywords(text, None);\n \n for m in matches {\n println!(\"Found '{}' at [{}, {}]\", m.keyword, m.start, m.end);\n }\n\n let replaced = processor.replace_keywords(text, None);\n println!(\"Replaced text: {}\", replaced);\n // Output: \"I love Rust Lang Coding\"\n}\n```\n\n### Python Usage\n\n```python\nfrom blitztext import KeywordProcessor\n\nprocessor = KeywordProcessor()\nprocessor.add_keyword(\"rust\", \"Rust Lang\")\nprocessor.add_keyword(\"programming\", \"Coding\")\n\ntext = \"I love rust programming\"\nmatches = processor.extract_keywords(text)\n\nfor m in matches:\n print(f\"Found '{m.keyword}' at [{m.start}, {m.end}]\")\n\nreplaced = processor.replace_keywords(text)\n// Output: \"I love Rust Lang Coding\"\n\nprint(f\"Replaced text: {replaced}\")\n```\n\n## Features\n\n### 1. Parallel Processing\n\nFor processing multiple texts in parallel:\n\n```rust\n// Rust\nlet texts = vec![\"Text 1\", \"Text 2\", \"Text 3\"];\nlet results = processor.parallel_extract_keywords_from_texts(&texts, None);\n```\n\n```python\n# Python\ntexts = [\"Text 1\", \"Text 2\", \"Text 3\"]\nresults = processor.parallel_extract_keywords_from_texts(texts)\n```\n\n\n### 2. Fuzzy Matching\n\nBoth Rust and Python implementations support fuzzy matching:\n\n```rust\n// Rust\nlet matches = processor.extract_keywords(text, Some(0.8));\n```\n\n```python\n# Python\nmatches = processor.extract_keywords(text, threshold=0.8)\n```\n\n### 3. Case Sensitivity\n\nYou can enable case-sensitive matching:\n\n```rust\n// Rust\nlet mut processor = KeywordProcessor::with_options(true, false);\nprocessor.add_keyword(\"Rust\", Some(\"Rust Lang\"));\nlet matches = processor.extract_keywords(\"I love Rust and rust\", None);\n// Only \"Rust\" will be matched, not \"rust\"\n```\n\n```python\n# Python\nprocessor = KeywordProcessor(case_sensitive=True)\nprocessor.add_keyword(\"Rust\", \"Rust Lang\")\nmatches = processor.extract_keywords(\"I love Rust and rust\")\n# Only \"Rust\" will be matched, not \"rust\"\n```\n\n### 4. Overlapping Matches\n\nEnable overlapping matches:\n\n```rust\n// Rust\nlet mut processor = KeywordProcessor::with_options(false, true);\nprocessor.add_keyword(\"word\", None);\nprocessor.add_keyword(\"sword\", None);\nlet matches = processor.extract_keywords(\"I have a sword\", None);\n// \"word\" will be matched\n```\n\n```python\n# Python\nprocessor = KeywordProcessor(allow_overlaps=True)\nprocessor.add_keyword(\"word\")\nmatches = processor.extract_keywords(\"I have a sword\")\n# \"word\" will be matched\n```\n\n\n### 5. Custom Non-Word Boundaries\n\nThis library uses the concept of non-word boundaries to determine where words begin and end. By default, alphanumeric characters and underscores are considered part of a word. You can customize this behavior to fit your specific needs.\n\n#### Understanding Non-Word Boundaries\n\n- Characters defined as non-word boundaries are considered part of a word.\n- Characters not defined as non-word boundaries are treated as word separators.\n\n#### Example\n\n```rust\n// Rust\nlet mut processor = KeywordProcessor::new();\n\nprocessor.add_keyword(\"rust\", None);\nprocessor.add_keyword(\"programming\", Some(\"coding\"));\n\nlet text = \"I-love-rust-programming-and-1coding2\";\n\n// Default behavior: '-' is a word separator\nlet matches = processor.extract_keywords(text, None);\nassert_eq!(matches.len(), 2);\n// Matches: \"rust\" and \"coding\"\n\n// Add '-' as a non-word boundary\nprocessor.add_non_word_boundary('-');\n\n// Now '-' is considered part of words\nlet matches = processor.extract_keywords(text, None);\nassert_eq!(matches.len(), 0);\n// No matches, because \"rust\" and \"programming\" are now part of larger \"words\"\n```\n\n```python\n# Python\nprocessor = KeywordProcessor()\n\nprocessor.add_keyword(\"rust\")\nprocessor.add_keyword(\"programming\", \"coding\")\n\ntext = \"I-love-rust-programming-and-1coding2\"\n\n# Default behavior: '-' is a word separator\nmatches = processor.extract_keywords(text)\nassert len(matches) == 2\n# Matches: \"rust\" and \"coding\"\n\n# Add '-' as a non-word boundary\nprocessor.add_non_word_boundary('-')\n\n# Now '-' is considered part of words\nmatches = processor.extract_keywords(text)\nassert len(matches) == 0\n# No matches, because \"rust\" and \"programming\" are now part of larger \"words\"\n```\n\n#### Setting a whole new set of non-word boundaries\n\n```rust\n// Rust\nprocessor.set_non_word_boundaries(&['-', '_', '@']);\n```\n\n```python\n# Python\nprocessor.set_non_word_boundaries(['-', '_', '@'])\n```\n\n\n## Performance\n\n---\n\nBlitzText is designed for high performance, making it suitable for processing large volumes of text.\nBenchmark details [here](benches/benchmark_results.md).\n\nMult-threaded performance:\n<img src=\"https://github.com/praise2112/blitztext/raw/main/benches/benchmark_results_multi.png\">\n\n## Contributing\n\n---\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n## Issues\nIf you encounter any problems, please file an [issue](https://github.com/praise2112/blitztext/issues) along with a detailed description.\n\n## License\n\n---\n\nThis project is licensed under the [MIT License](https://github.com/praise2112/blitztext/blob/main/LICENSE).\n\n\n",
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