| Name | rnzb JSON |
| Version |
0.3.1
JSON |
| download |
| home_page | None |
| Summary | Python bindings to the nzb-rs library - a spec compliant parser for NZB files, written in Rust. |
| upload_time | 2025-01-29 13:24:09 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT OR Apache-2.0 |
| keywords |
nzb
usenet
parser
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# rnzb
[](https://github.com/Ravencentric/rnzb/actions/workflows/tests.yml)
[](https://github.com/Ravencentric/rnzb/actions/workflows/docs.yml)
[](https://github.com/Ravencentric/rnzb/actions/workflows/release.yml)
[](https://pypi.org/project/rnzb)
Python bindings to the [nzb-rs](https://crates.io/crates/nzb-rs) library - a [spec](https://sabnzbd.org/wiki/extra/nzb-spec) compliant parser for [NZB](https://en.wikipedia.org/wiki/NZB) files, written in Rust.
## Table Of Contents
- [Installation](#installation)
- [Usage](#usage)
- [Related projects](#related-projects)
- [Performance](#performance)
- [Supported platforms](#supported-platforms)
- [Building from source](#building-from-source)
- [License](#license)
- [Contributing](#contributing)
## Installation
`rnzb` is available on [PyPI](https://pypi.org/project/rnzb/), so you can simply use pip to install it.
```bash
pip install rnzb
```
## Usage
```py
from rnzb import Nzb
nzb = Nzb.from_file("big_buck_bunny.nzb")
print(f"{nzb.file.name} ({nzb.meta.category}) was posted on {nzb.file.posted_at} by {nzb.file.poster}.")
#> Big Buck Bunny - S01E01.mkv (TV) was posted on 2024-01-28 11:18:28+00:00 by John <nzb@nowhere.example>.
for file in nzb.files:
print(file.name)
#> Big Buck Bunny - S01E01.mkv
#> Big Buck Bunny - S01E01.mkv.par2
#> Big Buck Bunny - S01E01.mkv.vol00+01.par2
#> Big Buck Bunny - S01E01.mkv.vol01+02.par2
#> Big Buck Bunny - S01E01.mkv.vol03+04.par2
```
For more details, check out the [API reference](https://rnzb.ravencentric.cc/).
## Related projects
Considering this is the fourth library for parsing a file format that almost nobody cares about and lacks a formal specification, here's an overview to help you decide:
| Project | Description | Parser | Meta Editor |
| -------------------------------------------------------- | --------------------------- | ------ | ----------- |
| [`nzb`](https://pypi.org/project/nzb) | Original Python Library | ✅ | ✅ |
| [`nzb-rs`](https://crates.io/crates/nzb-rs) | Rust port of `nzb` | ✅ | ❌ |
| [`rnzb`](https://pypi.org/project/nzb) | Python bindings to `nzb-rs` | ✅ | ❌ |
| [`nzb-parser`](https://www.npmjs.com/package/nzb-parser) | Javascript port of `nzb` | ✅ | ❌ |
## Performance
Although [`nzb`](https://pypi.org/project/nzb) is already quite fast due to its use of the non-validating C-based [expat](https://docs.python.org/3/library/pyexpat.html) parser from Python's standard library, `rnzb` offers even better performance, being approximately 8 times faster than `nzb`.
```console
$ hyperfine --warmup 1 "python test_nzb.py" "python test_rnzb.py"
Benchmark 1: python test_nzb.py
Time (mean ± σ): 6.306 s ± 0.075 s [User: 5.992 s, System: 0.225 s]
Range (min … max): 6.225 s … 6.478 s 10 runs
Benchmark 2: python test_rnzb.py
Time (mean ± σ): 767.5 ms ± 3.4 ms [User: 591.9 ms, System: 163.8 ms]
Range (min … max): 762.2 ms … 772.7 ms 10 runs
Summary
python test_rnzb.py ran
8.22 ± 0.10 times faster than python test_nzb.py
```
The above benchmark was performed by looping over 10 random NZB files I had lying around. This benchmark isn't super scientific, but it gives a pretty good idea of the performance difference.
## Supported platforms
Refer to the following table for the platforms and Python versions for which `rnzb` publishes prebuilt wheels:
| Platform | CPython 3.9-3.13 | CPython 3.13 (t) | PyPy 3.9-3.10 |
| ----------------------------------- | ---------------- | ---------------- | ------------- |
| 🐧 Linux (`x86_64`, `glibc>=2.28`) | ✅ | ✅ | ✅ |
| 🐧 Linux (`x86_64`, `musl>=1.2`) | ✅ | ✅ | ✅ |
| 🐧 Linux (`aarch64`, `glibc>=2.28`) | ✅ | ✅ | ✅ |
| 🐧 Linux (`aarch64`, `musl>=1.2`) | ✅ | ✅ | ✅ |
| 🪟 Windows (`x86`) | ✅ | ✅ | ❌ |
| 🪟 Windows (`x86_64`) | ✅ | ✅ | ✅ |
| 🍏 macOS (`x86_64`) | ✅ | ✅ | ✅ |
| 🍏 macOS (`arm64`) | ✅ | ✅ | ✅ |
The library itself is not inherently tied to any specific platform or Python version. The available wheels are based on what can be (reasonably) built using GitHub Actions.
## Building from source
Building from source requires the [Rust toolchain](https://rustup.rs/) and [Python 3.9+](https://www.python.org/downloads/).
- With [`uv`](https://docs.astral.sh/uv/):
```bash
git clone https://github.com/Ravencentric/rnzb
cd rnzb
uv build
```
- With [`pypa/build`](https://github.com/pypa/build):
```bash
git clone https://github.com/Ravencentric/rnzb
cd rnzb
python -m build
```
## License
Licensed under either of:
- Apache License, Version 2.0 ([LICENSE-APACHE](https://github.com/Ravencentric/rnzb/blob/main/LICENSE-APACHE) or <https://www.apache.org/licenses/LICENSE-2.0>)
- MIT license ([LICENSE-MIT](https://github.com/Ravencentric/rnzb/blob/main/LICENSE-MIT) or <https://opensource.org/licenses/MIT>)
at your option.
## Contributing
Contributions are welcome! Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.
Raw data
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"description": "# rnzb\n\n[](https://github.com/Ravencentric/rnzb/actions/workflows/tests.yml)\n[](https://github.com/Ravencentric/rnzb/actions/workflows/docs.yml)\n[](https://github.com/Ravencentric/rnzb/actions/workflows/release.yml)\n\n\n\n[](https://pypi.org/project/rnzb)\n\n\n\nPython bindings to the [nzb-rs](https://crates.io/crates/nzb-rs) library - a [spec](https://sabnzbd.org/wiki/extra/nzb-spec) compliant parser for [NZB](https://en.wikipedia.org/wiki/NZB) files, written in Rust.\n\n## Table Of Contents\n\n- [Installation](#installation)\n- [Usage](#usage)\n- [Related projects](#related-projects)\n- [Performance](#performance)\n- [Supported platforms](#supported-platforms)\n- [Building from source](#building-from-source)\n- [License](#license)\n- [Contributing](#contributing)\n\n## Installation\n\n`rnzb` is available on [PyPI](https://pypi.org/project/rnzb/), so you can simply use pip to install it.\n\n```bash\npip install rnzb\n```\n\n## Usage\n\n```py\nfrom rnzb import Nzb\n\nnzb = Nzb.from_file(\"big_buck_bunny.nzb\")\n\nprint(f\"{nzb.file.name} ({nzb.meta.category}) was posted on {nzb.file.posted_at} by {nzb.file.poster}.\")\n#> Big Buck Bunny - S01E01.mkv (TV) was posted on 2024-01-28 11:18:28+00:00 by John <nzb@nowhere.example>.\n\nfor file in nzb.files:\n print(file.name)\n #> Big Buck Bunny - S01E01.mkv\n #> Big Buck Bunny - S01E01.mkv.par2\n #> Big Buck Bunny - S01E01.mkv.vol00+01.par2\n #> Big Buck Bunny - S01E01.mkv.vol01+02.par2\n #> Big Buck Bunny - S01E01.mkv.vol03+04.par2\n```\n\nFor more details, check out the [API reference](https://rnzb.ravencentric.cc/).\n\n## Related projects\n\nConsidering this is the fourth library for parsing a file format that almost nobody cares about and lacks a formal specification, here's an overview to help you decide:\n\n| Project | Description | Parser | Meta Editor |\n| -------------------------------------------------------- | --------------------------- | ------ | ----------- |\n| [`nzb`](https://pypi.org/project/nzb) | Original Python Library | \u2705 | \u2705 |\n| [`nzb-rs`](https://crates.io/crates/nzb-rs) | Rust port of `nzb` | \u2705 | \u274c |\n| [`rnzb`](https://pypi.org/project/nzb) | Python bindings to `nzb-rs` | \u2705 | \u274c |\n| [`nzb-parser`](https://www.npmjs.com/package/nzb-parser) | Javascript port of `nzb` | \u2705 | \u274c |\n\n## Performance\n\nAlthough [`nzb`](https://pypi.org/project/nzb) is already quite fast due to its use of the non-validating C-based [expat](https://docs.python.org/3/library/pyexpat.html) parser from Python's standard library, `rnzb` offers even better performance, being approximately 8 times faster than `nzb`.\n\n```console\n$ hyperfine --warmup 1 \"python test_nzb.py\" \"python test_rnzb.py\"\nBenchmark 1: python test_nzb.py\n Time (mean \u00b1 \u03c3): 6.306 s \u00b1 0.075 s [User: 5.992 s, System: 0.225 s]\n Range (min \u2026 max): 6.225 s \u2026 6.478 s 10 runs\n\nBenchmark 2: python test_rnzb.py\n Time (mean \u00b1 \u03c3): 767.5 ms \u00b1 3.4 ms [User: 591.9 ms, System: 163.8 ms]\n Range (min \u2026 max): 762.2 ms \u2026 772.7 ms 10 runs\n\nSummary\n python test_rnzb.py ran\n 8.22 \u00b1 0.10 times faster than python test_nzb.py\n```\n\nThe above benchmark was performed by looping over 10 random NZB files I had lying around. 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Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.\n\n",
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