Metadata-Version: 2.1
Name: dabapush
Version: 0.1.5
Summary: 
Home-page: https://github.com/Leibniz-HBI/dabapush
License: MIT
Author: Felix Victor Münch
Author-email: f.muench@leibniz-hbi.de
Requires-Python: >=3.8,<4.0
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: PyYAML (>=5.4.1,<6.0.0)
Requires-Dist: SQLAlchemy (>=1.4.22,<2.0.0)
Requires-Dist: click (>=8.0.0,<9.0.0)
Requires-Dist: loguru (>=0.5.3,<0.6.0)
Requires-Dist: pandas (>=1.3.1,<2.0.0)
Project-URL: Repository, https://github.com/Leibniz-HBI/dabapush
Description-Content-Type: text/markdown

# dabapush

Data Base pusher for social media data (Twitter for the beginning) – pre-alpha version

## Developer Install

1. Install [poetry](https://python-poetry.org/docs/#installation)
2. Clone repository
3. In the cloned repository's root directory run `poetry install`
4. Run `poetry shell` to start development virtualenv
5. Run `twacapic` to enter API keys. Ignore the IndexError.
6. Run `pytest` to run all tests

