Skip to main content

A lazy HTML element builder.

Project description

haitch logo

A lazy HTML element builder.

builds.sr.ht status PyPI - Version

haitch

haitch, an alternative pronunciation for the letter "H".

The haitch package provides a builder for composing HTML elements in a Document Object Model (DOM) tree. The element nodes will only be rendered when the __str__ method is invoked.

Why write your HTML in templates when you can do it in Python?

Features

  • Compose HTML elements.
  • Lazily evaluate DOM tree.
  • 100% test coverage.
  • 100% type annotated codebase.
  • Zero dependencies.

Requirements

Python 3.8+

Quickstart

Install haitch using pip:

$ pip install haitch

Import the library like so:

import haitch as H

By importing the root module, you now have access to any element you want:

# Render known `h1` tag.
h1 = H.h1("Hello, world")
print(h1) # <h1>Hello, world</h1>

# Render custom `foo` tag (useful for web components).
foo = H.foo("Hello, world")
print(foo) # <foo>Hello, world!</foo>

Here is a simple, real-world example that showcases the advantage of writing HTML in Python. Let's say we want a list of customer emails based on some business logic:

# Fetch customers from a data store.
customers = [
    ("jane@aol.com", False, True),
    ("bob@example.com", True, False),
    ("mark@mail.org", True, False),
    ("karen@hr.org", False, False),
]

# Build the DOM tree with attributes and children.
dom = H.div(class_="container")(
    H.h1("Customers to contact:"),
    H.ul()(
        [
            H.li(
                H.a(href=f"mailto:{email}")(email),
            )
            for email, is_premium, is_new in customers
            if is_premium or is_new
        ],
    ),
)

print(dom)
# <div class="container">
#   <h1>Customers to contact:</h1>
#   <ul>
#     <li><a href="mailto:jane@aol.com">jane@aol.com</a></li>
#     <li><a href="mailto:bob@example.com">bob@example.com</a></li>
#     <li><a href="mailto:mark@mail.org">mark@mail.org</a></li>
#   </ul>
# </div>

FYI: The example output is prettified for better readability. The actual output is a minified string with no formatting.

Motivation

I was inspired by the fantastic htbuilder library as an alternative to template engines. The library met most of my needs, but I really wanted to expand its functionality by leveraging modern Python features like type annotations. This coincided with my excitement for Hypermedia-Driven Applications (HDAs) with tools like htmx and alpine.

While writing HDAs has simplified my application logic, the lack of autocompletion and diagnostics in templates are quite annoying. Therefore, my goal with this package is to make writing HTML as simple and fun as writing normal Python code by writing normal Python code.

Roadmap

  • Explicit attribute annotations for known elements like a, img, etc.
  • Document elements based on MDN Web Docs.
  • Extra Annotations for common third-party plugins like htmx and alpine.

Non-goals

The following features will not be supported:

  • Deprecated elements and attributes: if you want to use them, that is fine by me as haitch supports generic elements and attributes. However, I am not going to write the annotations and documentation for them.
  • 100% input validation: this library is meant to assist the developer to write valid HTML with the help of type annotations and documentation. In the end, it is up to the developer and browser to verify that the input is of the correct type. So for example, I will not add any validation to make sure that a <col> element is directly nested inside of a <colgroup> element or that the span attribute for the <col> element is a positive integer.

License

haitch is distributed under the terms of the BSD-3-Clause license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

haitch-0.6.0.tar.gz (27.1 kB view details)

Uploaded Source

Built Distribution

haitch-0.6.0-py3-none-any.whl (44.9 kB view details)

Uploaded Python 3

File details

Details for the file haitch-0.6.0.tar.gz.

File metadata

  • Download URL: haitch-0.6.0.tar.gz
  • Upload date:
  • Size: 27.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.26.0

File hashes

Hashes for haitch-0.6.0.tar.gz
Algorithm Hash digest
SHA256 8e55cbca55ec997b4153c6be18eeb753ce29619e918f4c70224ec50133974789
MD5 0681c0108019f2ad884891174d95b3af
BLAKE2b-256 6b8407d4f7a442aadddb21a2a48f140896c4541fc39fb10a1685997de35e750b

See more details on using hashes here.

File details

Details for the file haitch-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: haitch-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 44.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.26.0

File hashes

Hashes for haitch-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1ea3745b46660fa0cee9c39a9921073a60777e8c1505aeaea14c5235cdff2bcf
MD5 b7e8b7e1cbd36116f49f373b8193efcb
BLAKE2b-256 3e095c5fcc66f7d14bac9a4529c85b912db04aceb9608b5565e36531554c023a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page