akf-dbTools can modify or update certain parts of the database. It is part of the Aktienführer-Datenarchiv work process and customized to the needs of this project.
Method using Conda:
$ conda create -n dbtools_env python=3.6
$ source activate dbtools_env
$ conda install --file requirements.txt
$ python setup.py install
Example:
# perform KennGetter-Tool
$ python ./akf_dbTools.py --input "./db.sqlite" --tools 3
This will perform the KennGetter-Option on a database called "db".
# See --help for more informations
$ python ./akf_dbTools.py --help
At the moment the program contains four different tools:
It parses the json information,
which are gained from the books,
to the sqlite database.
RefGetter and KennGetter
are recommended to use afterwards.
It parses the json information,
which are gained from the cds,
to the sqlite database.
RefGetter and KennGetter
are recommended to use afterwards.
It gets the 'referenz' values, reads all years which
are bind to it and pretty prints the data as year span
into the Main table in the Jahrespanne column.
It gets the 'referenz' values, reads all WKN/ISIN which
are bind to it and prints the unique data into the
Main table in the Kennnummer column.
Copyright (c) 2017 Universitätsbibliothek Mannheim
Author: Jan Kamlah
db-Tools is Free Software. You may use it under the terms of the Apache 2.0 License. See LICENSE for details.