Skip to main content

Celerity is a lightweight, zero-dependency and type-safe Python library for astronomical calculations.

Project description

Celerity

Celerity is a lightweight, research-grade, zero-dependency type-safe Python library for astronomical calculations to plan your observations. It's only dependency is the Python 3.11+ standard library.

It has been designed to be independent of any other popular astronomical libraries, with a focus on providing a simple and intuitive API for performing common astronomical calculations.

N.B. This project is currently in the early stages of development and is not yet ready for production use.


Usage

Installation

Celerity can be installed using pip:

pip install celerity

or poetry:

poetry add celerity

API

The API has been designed to be written in an idiomatic and natural way for English speakers, as well as idiomatic to Python.

It has been specifically designed to only depend on the core set of Python modules, such that it is not strictly dependent on other popular astronomical libraries, e.g., astropy (although it can compliment the usage of these libraries).

It's important to note that the API does not perform string parsing of times and coordinates, but instead requires the user to provide the correct data types. This is to ensure that the API is type-safe and that the user is aware of the data types being used at all times.

For example, to find out the horizontal coordinate for the star Betelgeuse on the 14th May 2021 at 12:00 UTC, at Mauna Kea, Hawaii, you would write:

from datetime import datetime, timezone

from celerity import Observer, Time

# Mauna Kea, Hawaii:
observer = Observer(
    latitude=19.82,
    longitude=-155.47,
    elevation=4205,
)

# Time of observation in UTC:
time = Time(
    when=datetime(2021, 5, 14, 12, 0, 0, tzinfo=timezone.utc)
)

# Provide an equatorial target in equatorial coordinates at epoch J2000 in units of degrees:
betelgeuse = { ra: 88.792938, dec: 7.407064 }

# Observe the target:
betelgeuse = observer.at(time).observe({ ra: 88.792938, dec: 7.407064 })

# Get the horizontal coordinates:
{ alt, az } = betelgeuse.altAz()

# What is the Local Sidereal Time at the time of observation?
lst = observer.at(time).LST()

# What is the Julian Date at the time of observation?
jd = observer.at(time).JD()

Notes & Caveats

Celerity is designed such that fundamental SI units of measurement are used, e.g., degrees, metres, seconds, etc. This is to ensure that the API is as accurate as possible, and that the user is aware of the units being used at all times.

The Observer class requires the user to provide the latitude and longitude in degrees, and the elevation in metres. Latitude is positive for the northern hemisphere, and negative for the southern hemisphere between -90° at the southern pole and +90° at the northern pole. Longitude is always positive for the eastern hemisphere (east of the Prime Meridian), and negative for the western hemisphere (west of the Prime Meridian) representing a longitude between -180° and +180°.

The Time class requires the user to provide the time in UTC, and not in any other timezone. The user can, once the Time object has been created, convert the time to any other timezone using the provided class methods.

The Target class requires the user to provide the right ascension and declination in degrees (and not in hours and degrees).


Package Development

Project Requirements

Installing Dependencies

The Celerity project manages Python package dependencies using Poetry. You'll need to follow the instructions for installation there.

Then you can start a shell session with the new environment with:

$ poetry shell

N.B. For development with vscode you will need to run the following command:

$ poetry config virtualenvs.in-project true

This will installed the poetry .venv in the root of the project and allow vscode to setup the environment correctly for development.

To start development, install all of the dependencies as:

$ poetry install

N.B. Ensure that any dependency changes are committed to source control, so everyone has a consistenct package dependecy list.

Local Development

The Celerity development stack can be built with the following docker compose command, with the $INSTALL_DEV build environment argument*.

$ docker compose -f local.yml build --build-arg INSTALL_DEV="true"

* This is required to install the development dependencies in the container.

Then start the development stack with a running shell session with:

$ docker compose -f local.yml run app bash

N.B. The docker compose command will build the development stack if it has not been built already.

Running Tests

To run the tests, please ensure you have followed the steps for building the development server:

The Celerity development stack can be built with the following docker compose command, with the $INSTALL_DEV build environment argument*.

$ docker compose -f local.yml build --build-arg INSTALL_DEV="true"

You can then run the pytest suite using the following command:

$ docker compose -f local.yml exec api pytest

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

celerity-0.26.0.tar.gz (21.7 kB view details)

Uploaded Source

Built Distribution

celerity-0.26.0-py3-none-any.whl (28.6 kB view details)

Uploaded Python 3

File details

Details for the file celerity-0.26.0.tar.gz.

File metadata

  • Download URL: celerity-0.26.0.tar.gz
  • Upload date:
  • Size: 21.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.11.9 Linux/6.5.0-1018-azure

File hashes

Hashes for celerity-0.26.0.tar.gz
Algorithm Hash digest
SHA256 277471d96c8997ec76d36e685fe1a2ba8f5a9863ebf0716b2d0a42ec6318fb6b
MD5 42e26ae725c51354d506f792296011cf
BLAKE2b-256 f7e38b75b4466d2ec5f2e055c68d4777daa877738b07d51cc12728d0dfc1e7d7

See more details on using hashes here.

File details

Details for the file celerity-0.26.0-py3-none-any.whl.

File metadata

  • Download URL: celerity-0.26.0-py3-none-any.whl
  • Upload date:
  • Size: 28.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.11.9 Linux/6.5.0-1018-azure

File hashes

Hashes for celerity-0.26.0-py3-none-any.whl
Algorithm Hash digest
SHA256 994f462d42f9ca12cc4de0636225ddffc30b881491e368b80b3dcc09ffa57a63
MD5 9670f2673930665ffa2fcfe9ad234507
BLAKE2b-256 72c2f5c1473710cbaaad5b08b9c9449d85cf983a1f63724b57f9e1e621d39a1d

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