This script allows for creating table on OEP from metadata (JSON), uploading data from CSV and registration on databus.
All you need to do is point script to a folder which contains metadata and/or data and your credentials for OEP and databus.
Possible errors are logged in upload.log
.
Steps to set up script:
- create python environment
- activate environment
- install packages:
pip install -r requirements.txt
There are two scripts in the repository:
main.py
With this script you can create tables from metadata and fill tables with correspondiong data from CSVs. To do so, you have to runpython main.py
and enter all required credential (see how to set credentials permanently in next section). Afterwards, you have to point to a directory holding your metadata and/or data files. Metadata must be given as JSON, data file has to be named after OPE table and given as CSV. From there, the script should do the rest...results.py
This script is for uploading result data to OEP and register scenario data on databus (similar tomain.py
, but with fixed table to upload data to). Runpython results.py
to update results data to table (sedos_results.csv
must be placed in upload folder)
Instead of entering credentials at every run, you can add a .env
file to the folder containing credentials in the following way:
DATABUS_API_KEY=api_key
DATABUS_GROUP=example_group
DATABUS_USER=example_user
OEP_TOKEN=token
OEP_USER=username containing spaces
As this file is added to .gitignore
your secrets are not getting commited!
Please report any issue in this repository.