Skip to main content

A Python SDK/CLI for Lunar API

Project description

lunar-sdk

Contents

SDK for lunar microservices

Description

A Python based SDK & CLI for Lunar microservices

This python package includes

  • Functions for lunar-rec
  • CLI (Command Line Interface) named lunar

Installation

Build package and wheel files with poetry.

# installation
poetry install

poetry run lunar -h

How to use

Credentials

lunar uses a credentials file to setup a config(env, apikey) with a init file type.
The path for credentials file and format must be as follow:

[Path]

.lunar/credentials
[default]
env=local
apikey=ABCDEFG123

[dev]
env=dev
apikey=AERSDF123

[stg]
env=stg
apikey=HIJKLMNO456

[prd]
env=prd
apikey=PQRSTUV789

The first [default] is used when SDK / CLI is run without a specified profile.

To specify a profile, use AWS_PROFILE to overrides the default profile for commands that run in that session.

export AWS_PROFILE=stg

SDK

lunar package provides functions for using all lunar microservices. For the detailed information related to each function, please refer to Docs.

Here is an example for CRUDing channels:

import lunar

# Environment for Lunar-rec is automatically set with credential file
client = lunar.client("channel")

# Get list of channels
channels = client.get_channels()

# Get a channel
channel = client.get_channel(id="test_channel")

# Create a channel
channel = client.create_channel(id="new_channel", experiment_id="new_experiment")

# Update(or partial) a channel 
updated_channel = client.update_channel(id="test_channel", experiment_id="a")
partially_updated_channel = client.update_channel_partial(id="test_channel", experiment_id="ab")

# Delete a channel
client.delete_channel(channel.id)

All functions on the SDK also supports asyncio. If necessary, use an async version of each function.

  • Naming rule: Suffix with _async. (e.g. list_channels()list_channels_async())

CLI

lunar also provides CLI (Command Line Interface) generated by click package.

poetry run lunar -h

should show something like the below:

Usage: lunar [OPTIONS] COMMAND [ARGS]...

Options:
  -h, --help  Show this message and exit.

Commands:
  channel     Channels on lunar-rec
  experiment  Experiments on lunar-rec
  recommend   Recommendation on lunar-rec

Each option also has its own usage instruction.

poetry run lunar experiments -h

Usage: lunar experiment [OPTIONS] {CREATE|LIST|READ|UPDATE|DELETE}

  Experiments on lunar-rec

  Send a request to Lunar Recommendation API (`/v1/experiemnts/`).

  Return: dict or list(dict)

Options:
  -i, --id TEXT                   Unique identifier of a channel
  -b, --buckets <TEXT INTEGER>...
                                  Bucket list
  -s, --bucketing-seed TEXT       Random seed for bucketing
  -p, --partial                   Partial update or not (default: False)
  -h, --help                      Show this message and exit.

Development

Requirements for development

  • Python 3.8
  • Poetry

Installing Python 3.8 with pyenv is recommended. Check this.

For zsh,

# Install Xcode command line tools (Only if you don't have it already)
xcode-select --install

# Install pyenv and its dependencies
brew update
brew install pyenv openssl readline sqlite3 xz zlib

echo 'eval "$(pyenv init --path)"' >> ~/.zshrc
eval '"$(pyenv init -)"' >> ~/.zshrc

# Restart the terminal

# Install Python 3.8
pyenv install 3.8.10
pyenv global 3.8.10

# Restart the terminal

# Check if the version is right
python -V

# Install Poetry
curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
poetry config virtualenvs.in-project true

should work.

Python environment

poetry install

If you need additional deps,

# For production
poetry add package_name

# For development only
poetry add --dev package_name

Documents generation

rm -rf docs
pdoc --html --config show_source_code=False -f -o ./docs lunar

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

apollo_lunar-2024.4.4.tar.gz (22.0 kB view details)

Uploaded Source

Built Distribution

apollo_lunar-2024.4.4-py3-none-any.whl (34.1 kB view details)

Uploaded Python 3

File details

Details for the file apollo_lunar-2024.4.4.tar.gz.

File metadata

  • Download URL: apollo_lunar-2024.4.4.tar.gz
  • Upload date:
  • Size: 22.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.8.18 Linux/6.5.0-1017-azure

File hashes

Hashes for apollo_lunar-2024.4.4.tar.gz
Algorithm Hash digest
SHA256 4d2eacec8041180367b1cd612e6677adc30d95b8d12be147497b5f6045df719c
MD5 dc9c37b9f6c23a70ab61b0c335751fc3
BLAKE2b-256 a7d1da315750c330973c1ef139a12c8e514b80c836abc6647ae2db699b1dae35

See more details on using hashes here.

File details

Details for the file apollo_lunar-2024.4.4-py3-none-any.whl.

File metadata

  • Download URL: apollo_lunar-2024.4.4-py3-none-any.whl
  • Upload date:
  • Size: 34.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.8.18 Linux/6.5.0-1017-azure

File hashes

Hashes for apollo_lunar-2024.4.4-py3-none-any.whl
Algorithm Hash digest
SHA256 b37d33aa4d40bf4e50fed447827ef7069f8c654814252b437a72dde782738065
MD5 5ba07b618f13838f83fb84822ec45ab6
BLAKE2b-256 fed68cdfca693ecd842d7ee8fbcd6e6401c22505b9726c567d0f8b11e22b1650

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