opening_hours_py 2.1.4

A parser for the opening_hours fields from OpenStreetMap.

Python bindings for OSM Opening Hours

Usage

The pre-compiled package is published for Python 3.9 and above and new releases will adapt to officially supported Python versions.

If you want to install this library with older version of Python, you will need the Rust toolchain (rustc and cargo).

Install opening-hours-py from PyPI, for example using pip:

pip install --user opening-hours-py

Then, the main object that you will interact with will be OpeningHours:

from opening_hours import OpeningHours

oh = OpeningHours("Mo-Fr 10:00-18:00; Sa-Su 10:00-12:00")
print("Current status is", oh.state())
print("This will change at", oh.next_change())

# You can also attach a timezone to your expression. If you use timezone-aware
# dates, they will be converted to local time before any computation is done.
from zoneinfo import ZoneInfo
oh = OpeningHours("Mo-Fr 10:00-18:00; Sa-Su 10:00-12:00", timezone=ZoneInfo("Europe/Paris"))

# The timezone can also be infered with coordinates
oh = OpeningHours("Mo-Fr 10:00-18:00; Sa-Su 10:00-12:00", coords=(48.8535, 2.34839))

# You can normalize the expression
assert str(OpeningHours("24/7 ; Su closed").normalize()) == "Mo-Sa"

The API is very similar to Rust API but you can find a Python specific documentation here.

Features

• 📝 Parsing for OSM opening hours
• 🧮 Evaluation of state and next change
• ⏳ Lazy infinite iterator
• 🌅 Accurate sun events
• 📅 Embedded public holidays database for many countries (from nager)
• 🌍 Timezone support
• 🔥 Fast and memory-safe implementation using Rust
• 📏 Normalization to unambiguous expressions

Limitations

Expressions will always be considered closed before 1900 and after 9999. This comes from the specification not supporting date outside of this grammar and makes the implementation slightly more convenient.

Feel free to open an issue if you have a use case for extreme dates!

Development

To build the library by yourself you will require a recent version of Rust, rustup is usually the recommended tool to manage the installation.

Then you can use poetry to install Python dependencies and run maturin (the building tool used to create the bindings) from a virtualenv.

$ git clone https://github.com/remi-dupre/opening-hours-rs.git
$ cd opening-hours-rs

# Install Python dependancies
$ poetry install --with dev

# Enter the virtualenv
$ poetry shell

# Build developpement bindings, add `--release` for an optimized version
$ maturin develop

# Now the library is available as long as you don't leave the virtualenv
$ python
>>> from opening_hours import OpeningHours
>>> oh = OpeningHours("24/7")
>>> oh.state()
"open"