pyladoc/README.md

# Pyladoc

## Description
Pyladoc is a python package for programmatically generating HTML and
PDF/LaTeX output. This package targets specifically applications where reports
or results with Pandas-tables and Matplotlib-figures are generated 
to be displayed as website and as PDF document without involving any manual
formatting steps.

This package focuses on the "Document in Code" approach for cases
where a lot of calculations and data handling is done but not a lot of
document text needs to be displayed. The multiline string capability of Python
handles this very well. In comparison to "Code in Document"-templates
python tools supports this approach out of the box.

As backend for PDF generation LaTeX is used. There are excellent engines for
rendering HTML to PDF, but even if there is no requirement for an
accurate typesetting and what not, placing programmatically content of variable
composition and element sizes on fixed size pages without manual intervention
is a hard problem where LaTeX is superior.

## Example outputs
- HTML: [test_html_render1.html](https://html-preview.github.io/?url=https://github.com/Nonannet/pyladoc/blob/main/tests/out/test_html_render1.html)
- PDF: [test_latex_render1.pdf](https://raw.githubusercontent.com/Nonannet/pyladoc/refs/heads/main/tests/out/test_latex_render1.pdf)

The documents are generated by the script [tests/test_rendering_example1_doc.py](tests/test_rendering_example1_doc.py).

### Supported primitives
- Text (can be Markdown or HTML formatted)
- Headings
- Tables (Pandas, Markdown or HTML)
- Matplotlib figures
- LaTeX equations (block or inline)
- Named references for figures, tables and equations

### Key Features
- HTML and PDF/LaTeX rendering of the same document
- Single file output including figures
- Figure and equation embedding in HTML by inline SVG, SVG in Base64 or PNG in Base64
- Figure embedding in LaTeX as PGF/TikZ
- Tested on Linux and Windows

### Usage Scenarios
- Webservices
- Report generation for lab equipment

## Installation
It can be installed with pip:

```bash
pip install pyladoc
```

## Dependencies
Pyladoc depends on the markdown package.

Optional dependencies are:
- Matplotlib python package for rendering LaTeX equations for HTML output
- LaTeX for exporting to PDF or exporting Matplotlib figures to LaTeX (PGF/TikZ rendering)
- Pandas and Matplotlib for including Pandas Tables and Matplotlib figures (obviously)

## Usage
It is easy to use as the following example code shows:

```python
import pyladoc
import pandas as pd

doc = pyladoc.DocumentWriter()

doc.add_markdown("""
    # Example
    This is inline LaTeX: $$\\lambda$$

    This is a LaTeX block with a number:
    $$
    \\label{eq:test1}
    \\lambda_{\text{mix}} = \\sum_{i=1}^{n} \\frac{x_i \\lambda_i}{\\sum_{j=1}^{n} x_j \\Phi_{ij}}
    $$

    This is an example table. The table @table:pandas_example shows some random data.
    """)

some_data = {
    'Row1': ["Line1", "Line2", "Line3"],
    'Row2': [120, 100, 110],
    'Row3': ['12 g/km', '> 150 g/km', '110 g/km']
}
df = pd.DataFrame(some_data)
doc.add_table(df, 'This is a pandas example table', 'pandas_example')

html_code = doc.to_html()
print(html_code)

doc.to_pdf('test.pdf')
```

## Contributing
Contributions are welcome, please open an issue or submit a pull request on GitHub.

## Developer Guide
To get started with developing the `pyladoc` package, follow these steps.

First, clone the repository to your local machine using Git:

```bash
git clone https://github.com/Nonannet/pyladoc.git
cd pyladoc
```

It's recommended to setup an venv:

```bash
python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`
```

Install the package and dev-dependencies while keeping files in the
current directory:

```bash
pip install -e .[dev]
```

Ensure that everything is set up correctly by running the tests:

```bash
pytest
```

## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.