v3.0.0 (#90)

- API
    - Page now accepts `max_width` and `output_options` arguments
    - Content classes no longer accept `width` or `height` arguments
- New Features
    - Output rendering options can now be configured at page level
    - Additional markdown features recognised
- Fixes
    - JavaScript is now placed at end of page so HTML is loaded first
- Page Style
    - Removed unnecessary indentation
    - Tables now render in minimal, clean style
    - Improvements to sizing and centring of plots
    - Cleaned up unnecessary HTML and CSS
    - Majority of CSS attributes moved to `esparto.css`
- Dependencies
    - Pillow is now optional
    - BeautifulSoup4 is now required
    - Upper version limits removed from all
- Other
    - Type hints implemented with ~100% coverage

Author: domvwt

.flake8

@@ -1,6 +1,6 @@
 [flake8]
 max-line-length = 120
-exclude = scratch.*, docs/
+exclude = scratch.py, docs/
 ignore =
     W503, # line break before binary operator
     E203, # whitespace before ':'

.github/workflows/lint-and-test.yml

@@ -1,7 +1,7 @@
 # This workflow will install Python dependencies, run tests and lint with a variety of Python versions
 # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
 
-name: Lint and Test Python Library
+name: tests
 
 on:
   push:
@@ -33,7 +33,7 @@ jobs:
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
-        python -m pip install flake8 pytest coverage
+        python -m pip install flake8 pytest coverage html5lib
         python -m pip install .
     - name: Lint with flake8
       run: |
@@ -46,11 +46,10 @@ jobs:
         coverage run --append --source esparto -m pytest
     - name: Install optional dependencies
       run: |
-        python -m pip install ipython pandas matplotlib bokeh plotly kaleido "weasyprint<53" beautifulsoup4 html5lib
-    - name: Test full install with pytest 
+        python -m pip install ipython pandas matplotlib bokeh plotly kaleido "weasyprint<53" html5lib
+    - name: Test full install with pytest
       run: |
         coverage run --append --source esparto -m pytest
     - name: Upload coverage to codecov.io
       run: |
         bash <(curl -s https://codecov.io/bash)
-        

.gitignore

@@ -6,6 +6,8 @@ esparto-doc.html
 esparto-quick.html
 esparto-doc.pdf
 docs/examples/*.html
+/*.html
+/*.pdf
 
 # IDE files
 .vscode
@@ -113,3 +115,5 @@ ENV/
 
 # mypy
 .mypy_cache/
+.markdownlint.json
+my-report.html

.pre-commit-config.yaml

@@ -31,6 +31,7 @@ repos:
         language: system
         entry: poetry run mypy
         types: [python]
+        exclude: tests/
     -   id: version
         name: Version
         language: system

.travis.yml

@@ -57,10 +57,10 @@ lint: ## check style with flake8
 	flake8 esparto tests
 
 mypy: ## check type hints
-	mypy esparto tests
+	mypy esparto --strict
 
 isort: ## sort imports
-	isort esparto tests
+	isort esparto tests --profile black
 
 cqa: format isort lint mypy ## run all cqa tools
 

Makefile

@@ -3,98 +3,131 @@ esparto
 
 [![image](https://img.shields.io/pypi/v/esparto.svg)](https://pypi.python.org/pypi/esparto)
 [![PyPI pyversions](https://img.shields.io/pypi/pyversions/esparto.svg)](https://pypi.python.org/pypi/esparto/)
-[![Build Status](https://travis-ci.com/domvwt/esparto.svg?branch=main)](https://travis-ci.com/domvwt/esparto)
+![Build Status](https://github.com/domvwt/esparto/actions/workflows/lint-and-test.yml/badge.svg)
 [![codecov](https://codecov.io/gh/domvwt/esparto/branch/main/graph/badge.svg?token=35J8NZCUYC)](https://codecov.io/gh/domvwt/esparto)
 [![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=domvwt_esparto&metric=alert_status)](https://sonarcloud.io/dashboard?id=domvwt_esparto)
 ![PyPI - Downloads](https://img.shields.io/pypi/dm/esparto)
 
+Introduction
+------------
 
-## Introduction
-**esparto** is a Python package for building shareable reports with content
-from popular data analysis libraries.
-With just a few lines of code, **esparto** turns DataFrames, plots, and
-Markdown into an interactive webpage or PDF document.
+**esparto** is a Python library for building data driven reports with content
+from popular analytics packages. The project takes a straightforward approach
+to document design; with a focus on usability, portability, and extensiblity.
 
-Documents produced by **esparto** are completely portable - no backend server
-is required - and entirely customisable using CSS and Jinja templating.
-All content dependencies are declared inline or loaded via a CDN, meaning your
-reports can be shared by email, hosted on a standard http server, or made
-available as static pages as-is.
+Creating a report is as simple as instantiating a Page object and 'adding' content
+in the form of DataFrames, plots, and markdown text. Documents can be built interactively
+in a notebook environment, and the results shared as a self-contained HTML
+page or PDF file.
 
+Further customisation of the output is possible by passing a CSS stylesheet,
+changing the [Jinja](Jinja) template, or declaring additional element styles within
+the code. The responsive [Bootstrap](Bootstrap) grid ensures documents adapt to
+any viewing device.
+
+Basic Usage
+-----------
 
-## Basic Usage
 ```python
 import esparto as es
+
+# Do some analysis
+pandas_dataframe = ...
+plotly_figure = ...
+
+# Create a Page object
 page = es.Page(title="My Report")
-page["Data Analysis"] = (pandas_dataframe, plotly_figure)
+
+# Add content
+page["Data Analysis"]["Plot"] = plotly_figure
+page["Data Analysis"]["Data"] = pandas_dataframe
+
+# Save to HTML or PDF
 page.save_html("my-report.html")
+page.save_pdf("my-report.pdf")
+
 ```
 
+Main Features
+-------------
 
-## Main Features
-* Automatic and adaptive layout
-* Customisable with CSS or Jinja
-* Jupyter Notebook friendly
-* Output as HTML or PDF
-* Built-in adaptors for:
-    * Markdown
-    * Images
-    * [Pandas DataFrames][Pandas]
-    * [Matplotlib][Matplotlib]
-    * [Bokeh][Bokeh]
-    * [Plotly][Plotly]
+- Interactive document design with Jupyter Notebooks
+- Share as self-contained HTML or PDF
+- Customise with CSS and Jinja
+- Responsive Bootstrap grid layout
+- Content adaptors for:
+    - [Markdown][Markdown]
+    - [Images][Pillow]
+    - [Pandas DataFrames][Pandas]
+    - [Matplotlib][Matplotlib]
+    - [Bokeh][Bokeh]
+    - [Plotly][Plotly]
 
+Installation
+------------
 
-## Installation
 **esparto** is available from [PyPI][PyPI] and [Conda][Conda]:
+
 ```bash
 pip install esparto
 ```
+
 ```bash
 conda install esparto -c conda-forge
 ```
 
-If PDF output is required, [Weasyprint](https://weasyprint.org/) must also be installed.
+Dependencies
+------------
+
+- [python](https://python.org/) >= 3.6
+- [jinja2](https://palletsprojects.com/p/jinja/)
+- [markdown](https://python-markdown.github.io/)
+- [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/)
+- [PyYAML](https://pyyaml.org/)
 
-## Dependencies
-*   [python](https://python.org/) >= 3.6
-*   [jinja2](https://palletsprojects.com/p/jinja/)
-*   [markdown](https://python-markdown.github.io/)
-*   [Pillow](https://python-pillow.org/)
-*   [PyYAML](https://pyyaml.org/)
-*   [weasyprint](https://weasyprint.org/) _(optional - required for PDF output)_
+#### Optional
 
+- [Pillow](https://python-pillow.org/) *(for image content)*
+- [weasyprint](https://weasyprint.org/) *(for PDF output)*
+
+License
+-------
 
-## License
 [MIT](https://opensource.org/licenses/MIT)
 
+Documentation
+-------------
+
+Documentation and examples are available at
+[domvwt.github.io/esparto/](https://domvwt.github.io/esparto/).
 
-## Documentation
-Full documentation and examples are available at [domvwt.github.io/esparto/](https://domvwt.github.io/esparto/).
+Contributions, Issues, and Requests
+-----------------------------------
 
-## Contributions, Issues, and Requests
-All feedback and contributions are welcome - please raise an issue or pull request on [GitHub][GitHub].
+Feedback and contributions are welcome - please raise an issue or pull request
+on [GitHub][GitHub].
 
+Examples
+--------
 
-## Examples
 Iris Report - [Webpage](https://domvwt.github.io/esparto/examples/iris-report.html) |
 [PDF](https://domvwt.github.io/esparto/examples/iris-report.pdf)
 
-Bokeh and Plotly - [Webpage](https://domvwt.github.io/esparto/examples/interactive-plots.html) |
-[PDF](https://domvwt.github.io/esparto/examples/interactive-plots.pdf)
-
 <br>
 
 <p width=100%>
-<img width=80%  src="https://github.com/domvwt/esparto/blob/fdc0e787c0bc013d16667773e82e21c647b71d91/docs/images/iris-report-compressed.png?raw=true" alt="example page" style="border-radius:0.5%;">
+<img width=100%  src="https://github.com/domvwt/esparto/blob/1857f1d7411f12c37c96f8f5d60ff7012071851f/docs/images/iris-report-compressed.png?raw=true" alt="example page" style="border-radius:0.5%;">
 </p>
 
-<!-- Links -->
+<!-- * Links -->
 [PyPI]: https://pypi.org/project/esparto/
 [Conda]: https://anaconda.org/conda-forge/esparto
-[Bootstrap]: https://getbootstrap.com/docs/4.6/getting-started/introduction/
+[Bootstrap]: https://getbootstrap.com/
+[Jinja]: https://jinja.palletsprojects.com/
+[Markdown]: https://www.markdownguide.org/
+[Pillow]: https://python-pillow.org/
 [Pandas]: https://pandas.pydata.org/
 [Matplotlib]: https://matplotlib.org/
-[Bokeh]: https://docs.bokeh.org/en/latest/index.html
+[Bokeh]: https://bokeh.org/
 [Plotly]: https://plotly.com/
 [GitHub]: https://github.com/domvwt/esparto