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A generic python Sitools2 client with IDOC/MEDOC clients

Project description


A generic Python Sitools2 client


The pySitools2 tool has been designed by the IAS MEDOC team as a client to perform all operations available within Sitools2. The code defines several classes of Sitools2: Dataset, Field, Project and Query.

It also contains specialized versions of the client, allowing the end-user to easily perform queries on selected datasets (namely EUV-SYN, GAIA-DEM, SDO/AIA, SDO/HMI, SOHO and STEREO at IDOC/MEDOC) and to download the corresponding data.


  • Search by providing a date range
  • Filter the search results by providing additional options of the concerned dataset if desired (wavelength, cadence, detector...)
  • Filter SDO (AIA or HMI) results with some specific metadata values (e.g. filter on quality)
  • Download the results of the search



Before building pySitools2, make sure that python-setuptools is installed. For example, with a Debian-based Linux distribution (Ubuntu...), please type in a terminal:

sudo apt-get install python-setuptools

Other requirements will be installed automatically by pip.

Installing from PyPI

The latest release is available from the Python Package Index and can be installed for the system by:

sudo -H pip install pySitools2

or, for the current user account, by:

pip install --user pySitools2

Please replace pip by pip3 if your system's default Python version is Python 2.

Installing from the git repository

The code is developed on the IAS Gitlab instance and you can get the source codes from there:

git clone

Then install the library (see above for details about using pip):

cd pySitools2
pip install .


Please use the --upgrade option of pip install.

Removing the library

Please use the uninstall command of pip instead of install.

Examples of use

Following examples will make a request, for each given python module below, using the search method and then simply download the results of the search() by calling the get method.

Full examples are provided in the examples/ directory.

from sitools2 import EuvsynClientMedoc
from datetime import datetime
d1 = datetime(2009, 7, 6, 0, 0, 0)
d2 = datetime(2009, 7, 10, 0, 0, 0)
euvsyn = EuvsynClientMedoc()
euvsyn_data_list =[d1, d2], NB_RES_MAX=10)
euvsyn.get(DATA_LIST=euvsyn_data_list, TARGET_DIR='euvsyn_results', DOWNLOAD_TYPE='TAR')

from sitools2 import GaiaClientMedoc
from datetime import datetime
d1 = datetime(2019, 9, 2, 0, 0, 0)
d2 = datetime(2019, 9, 3, 0, 0, 0)
gaia = GaiaClientMedoc()
gaia_data_list =[d1, d2], NB_RES_MAX=10)
gaia.get(DATA_LIST=gaia_data_list, TARGET_DIR='gaia_results', DOWNLOAD_TYPE='TAR')

from sitools2 import SdoClientMedoc
from datetime import datetime
d1 = datetime(2020, 1, 15, 0, 0, 0)
d2 = datetime(2020, 1, 15, 2, 0, 0)
sdo = SdoClientMedoc()
sdo_data_list =[d1, d2],NB_RES_MAX=10)
sdo.get(DATA_LIST=sdo_data_list, TARGET_DIR='sdo_results', DOWNLOAD_TYPE='TAR')

from sitools2 import SohoClientMedoc
from datetime import datetime
d1 = datetime(2015, 3, 31, 0, 0, 0)
d2 = datetime(2015, 4, 1, 0, 0, 0)
soho = SohoClientMedoc()
soho_data_list =[d1, d2], NB_RES_MAX=12)
soho.get(DATA_LIST=soho_data_list, TARGET_DIR='soho_results', DOWNLOAD_TYPE='TAR')

from sitools2 import StereoClientMedoc
from datetime import datetime
d1 = datetime(2019, 4, 4, 0, 0, 0)
d2 = datetime(2019, 4, 4, 1, 0, 0)
stereo = StereoClientMedoc()
stereo_data_list =[d1, d2], NB_RES_MAX=12)
stereo.get(DATA_LIST=stereo_data_list, TARGET_DIR='stereo_results', DOWNLOAD_TYPE='TAR')


The library is provided with tests (unit tests and functional tests). These tests have been written with pytest. To launch the tests, do the following:

cd pySitools2
py.test .

Directory tree

The structure of pySitools2 directory is the following:

  • examples/: examples for using the specialized clients.
  • sitools2/: the pySitools2 module.
    • clients/: specialized clients for different data sets hosted at SiTools2 servers.
    • core/: the module core (objects for low-level SiTools2 API access).
  • test_sitools2/: tests of both the specialized clients and the core packages.

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