Kahi plugin staff_udea_person
Project description
Kahi staff udea person plugin
Kahi will use this plugin to insert or update the people information from UdeA's staff file
Description
Plugin that reads the information from udea's staff file to update or insert the information of the people around university production in CoLav's database format.
Installation
You could download the repository from github. Go into the folder where the setup.py is located and run
pip3 install .
From the package you can install by running
pip3 install kahi_staff_udea_person
Dependencies
Software dependencies will automatically be installed when installing the plugin. The user must have at least one file from staff's office in the University of Antioquia.
Usage
To use this plugin you must have kahi installed in your system and construct a yaml file such as
config:
database_url: localhost:27017
database_name: kahi
log_database: kahi_log
log_collection: log
workflow:
staff_udea_person:
file_path: /current/data/colombia/udea/Base de Datos profesores 2019.xlsx
License
BSD-3-Clause License
Links
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
File details
Details for the file Kahi_staff_udea_person-0.0.2a0.tar.gz
.
File metadata
- Download URL: Kahi_staff_udea_person-0.0.2a0.tar.gz
- Upload date:
- Size: 6.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d6596955f0652603122e2f6204f7ca9d976da67a72b4aec0b3e94414da67741a |
|
MD5 | 5399959ea4ed8cd09b6808eb024eb7e4 |
|
BLAKE2b-256 | 200a6b9fe85ac3e41d2f2e3577caabda55e34b448eb462e29c71c7ba63cf3537 |
File details
Details for the file Kahi_staff_udea_person-0.0.2a0-py3-none-any.whl
.
File metadata
- Download URL: Kahi_staff_udea_person-0.0.2a0-py3-none-any.whl
- Upload date:
- Size: 6.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4aecdf891416fc1758cb0c94abbcda2d769f282bc1cf2ac665cd3ab3d7fe59d0 |
|
MD5 | 9ad48af6f50ae3490e85db64e4208a6d |
|
BLAKE2b-256 | 1aeaa98e5b57e53b297b207e423d09b91fc0611e0f82b9403f0a0b05d014e41d |