Metadata-Version: 2.1
Name: css-inline
Version: 0.8.5
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Programming Language :: Rust
Summary: Fast CSS inlining written in Rust
Author: Dmitry Dygalo <dadygalo@gmail.com>
Author-email: Dmitry Dygalo <dadygalo@gmail.com>
License: MIT
Requires-Python: >=3.7
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
Project-URL: repository, https://github.com/Stranger6667/css-inline
Project-URL: homepage, https://github.com/Stranger6667/css-inline/tree/master/bindings/python

css_inline
==========

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[![Python versions](https://img.shields.io/pypi/pyversions/css_inline.svg)](https://pypi.org/project/css_inline/)
[![License](https://img.shields.io/pypi/l/css_inline.svg)](https://opensource.org/licenses/MIT)

Blazing-fast CSS inlining for Python implemented with Mozilla's Servo project components.

Features:

- Removing `style` tags after inlining;
- Resolving external stylesheets (including local files);
- Control if `style` tags should be processed;
- Out-of-document CSS to inline;
- Inlining multiple documents in parallel (via Rust-level threads)

The project supports CSS Syntax Level 3.

Installation
------------

To install `css_inline` via `pip` run the following command:

```
pip install css_inline
```

Pre-compiled wheels for most popular platforms are provided. If your platform is not in the support table below, you will need
a Rust compiler to build this package from source. The minimum supported Rust version is 1.54.

Usage
-----

To inline CSS in a HTML document:

```python
import css_inline

HTML = """<html>
<head>
    <title>Test</title>
    <style>h1 { color:blue; }</style>
</head>
<body>
    <h1>Big Text</h1>
</body>
</html>"""

inlined = css_inline.inline(HTML)
# HTML becomes this:
#
# <html>
# <head>
#    <title>Test</title>
#    <style>h1 { color:blue; }</style>
# </head>
# <body>
#     <h1 style="color:blue;">Big Text</h1>
# </body>
# </html>
```

If you want to inline many HTML documents, you can utilize `inline_many` that processes the input in parallel.

```python
import css_inline

css_inline.inline_many(["<...>", "<...>"])
```

`inline_many` will use Rust-level threads; thus, you can expect it's running faster than `css_inline.inline` via Python's `multiprocessing` or `threading` modules.

For customization options use the `CSSInliner` class:

```python
import css_inline

inliner = css_inline.CSSInliner(remove_style_tags=True)
inliner.inline("...")
```

If you'd like to skip CSS inlining for an HTML tag, add `data-css-inline="ignore"` attribute to it:

```html
<head>
    <title>Test</title>
    <style>h1 { color:blue; }</style>
</head>
<body>
    <!-- The tag below won't receive additional styles -->
    <h1 data-css-inline="ignore">Big Text</h1>
</body>
</html>
```

This attribute also allows you to skip `link` and `style` tags:

```html
<head>
    <title>Test</title>
    <!-- Styles below are ignored -->
    <style data-css-inline="ignore">h1 { color:blue; }</style>
</head>
<body>
    <h1>Big Text</h1>
</body>
</html>
```

Performance
-----------

Due to the usage of efficient tooling from Mozilla's Servo project (`html5ever`, `rust-cssparser` and others) this
library has excellent performance characteristics. In comparison with other Python projects, it is usually >10x faster than the nearest alternative.

For inlining CSS in the html document from the `Usage` section above there is the following breakdown in the benchmarks:

- `css_inline 0.8.2` - 22.42 us
- `premailer 3.10.0` - 332.02 us (**x14.81**)
- `toronado 0.1.0` - 1.59 ms (**x71.17**)
- `inlinestyler 0.2.5` - 2.35 ms (**x105.07**)
- `pynliner 0.8.0` - 2.79 ms (**x124.80**)

Realistic email 1:

- `css_inline 0.8.2` - 487.75 us
- `premailer 3.10.0` - 3.92 ms (**x8.05**)
- `toronado 0.1.0` - 52.09 ms (**x106.81**)
- `inlinestyler 0.2.5` - 81.17 ms (**x166.43**)
- `pynliner 0.8.0` - 128.81 ms (**x264.1**)

Realistic email 2:

- `css_inline 0.8.2` - 386.64 us
- `premailer 3.10.0` - 4.82 ms (**x12.47**)
- `toronado 0.1.0` - `Error: Pseudo-elements are not supported`
- `inlinestyler 0.2.5` - 40.80 ms (**x105.54**)
- `pynliner 0.8.0` - `Error: No match was found`

You can take a look at the benchmarks' code at `benches/bench.py` file.
The results above were measured with stable `rustc 1.64.0`, `Python 3.10.4`, `Linux x86_64` on i8700K, and 32GB RAM.

Comparison with other libraries
-------------------------------

Besides performance, `css-inline` differs from other Python libraries for CSS inlining.

- Generally supports more CSS features than other libraries (for example, `toronado` and `pynliner` do not support pseudo-elements);
- It has fewer configuration options and not as flexible as `premailer`;
- Works on fewer platforms than LXML-based libraries (`premailer`, `inlinestyler`, `toronado`, and optionally `pynliner`);
- Does not have debug logs yet;
- Supports only HTML 5.

Python support
--------------

`css_inline` supports CPython 3.7, 3.8, 3.9, 3.10, 3.11 and PyPy 3.7, 3.8, 3.9. 

Extra materials
---------------

If you want to know how this library was created & how it works internally, you could take a look at these articles:

- [Rust crate](https://dygalo.dev/blog/rust-for-a-pythonista-2/)
- [Python bindings](https://dygalo.dev/blog/rust-for-a-pythonista-3/)

License
-------

The code in this project is licensed under [MIT license](https://opensource.org/licenses/MIT).
By contributing to `css_inline`, you agree that your contributions
will be licensed under its MIT license.

