The dace-query package lets easily query DACE and access public and private data using a simple utility tool.

The dace-query package is available on PyPi and can be installed using pip or conda:

# Install using pip
pip install dace-query

# Make sure you have the latest version of the DACE API
pip show dace-query

# Update using pip
pip install dace-query --upgrade

# Using conda
conda install -c conda-forge dace-query

# Make sure you have the latest version of the DACE API
conda list dace-query

# Upgrade de DACE APIs
conda update dace-query

Make sure the package is installed correctly :

# Import dace
import dace_query

# List content of the dace package
help(dace)

In order to access the private data of DACE, an authentication system has been implemented. This one works very simply, it just requires three things detailed in the following subsections:

• A DACE account
• An API key
• A local .dacerc file

Register on the DACE web portal with a university email address.

To obtain an API key:

1. Login on DACE (https://dace.unige.ch)
2. Go to the user profile
3. Click on [Generate a new API key]
4. Copy this new API key into the .dacerc file

The .dacerc file, (you have to create it), located by default in the home directory (~/.dacerc) and in TOML format, defines a user section with a key-value pair specifying the user's API key (see below).

[user]
key = apiKey:<xxx-xxx-xxx>

For example, if your API key is 12345678-1234-5678-1234-567812345678, then the .dacerc file will be :

[user]
key = apiKey:12345678-1234-5678-1234-567812345678

To create the .dacerc file on Linux or macOs, open a terminal window and type :

printf '[user]\nkey = apiKey:%s\n' "your-api-key-here" > ~/.dacerc

# Import the ready-to-use exoplanet instance
from dace_query.exoplanet import Exoplanet

# Retrieve data from the exoplanet database
result: dict = Exoplanet.query_database(limit=10, output_format='dict')

# Get the planet names
planet_names: list = result.get('obj_id_catname')

# Print the planet names
print(planet_names)

For more examples of uses, such as filtering bad quality data (see Usage examples)

The official documentation for the dace-query package is available on Read the Docs.

In case of questions, proposals or problems, feel free to contact the DACE support .

• DACE website