Python API to Biolovision API and applications using it
Project description
Presentation
Python applications that use Biolovision/VisioNature (VN) API to:
download data from VN sites and stores it to a Postgresql database.
update sightings directly in VN site
Applications are available either as:
Python modules from PyPI
Docker images from Docker Hub
They are tested under Linux Ubuntu >20 or Debian 10. Other Linux distributions could work. Windows is not tested at all and will probably not work.
See Documentation for more informations.
A thin Python layer on top of Biolovision API is provided, as described in API Manual.
Installation - Python
These instructions present the steps required to install the Python applications.
Add the following debian packages:
sudo apt -y install build-essential python3-dev python3-venv
Create a python virtual environment, activate it and update basic tools:
python3 -m venv env_VN source env_VN/bin/activate python -m pip install --upgrade pip
Install from PyPI:
pip install Client-API-VN
Installation - Docker
These instructions present the steps required to install the Docker applications:
docker pull dthonon/client-api-vn docker run --name xfer_vn \ --mount source=xfer_vn,target=/root \ --workdir /root \ --tty --interactive \ dthonon/client-api-vn bash
The following steps are the common to both Python and Docker installation.
Getting Started - transfer_vn
See Documentation for more informations.
Getting Started - update_vn
See Documentation for more informations.
Prerequisites
For Linux and Postgresql installation, refer to Server installation.
Installation requires the following python module:
pip
All other python dependencies are managed by pip install.
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
Built Distribution
Hashes for Client_API_VN-2.11.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | df4e03041fe7c92def30d4742318715488015607a4905545bd8354e46a8922bf |
|
MD5 | aa26da48641924f81adddfd99eaf76c8 |
|
BLAKE2b-256 | d50f000d13f062619fe8b7a8f005ca8dbfd83e9e5df192f2032baf3ece3ac1f6 |