Contains functions for use in Ecotope Datapipelines
Project description
DataPipelinePackage
To Install the Package
From the internet for use elsewhere:
$ pip install ecopipeline
Install locally in an editable mode:
Navigate to DataPipelinePackage directory and run the following command
$ pip install -e .
Using the Package
See https://ecotoperesearch.github.io/DataPipelinePackage/build/html/index.html for documentation
config.ini
- database
- user: username for host database connection
- password: password for host database connection
- host: name of host
- database: name of database
- minute
- table_name: name of table to be created in the mySQL database containing minute-by-minute data
- hour
- table_name: name of table to be created in the mySQL database containing hour-by-hour data
- day
- table_name: name of table to be created in the mySQL database containing day-by-day data
- input
- directory: diretory of the folder containing the input files listed below
- site_info: name of the site information csv
- 410a_info: name of the 410a information csv
- superheat_info: name of the superheat infomation csv
- output
- directory: diretory of the folder where any pipeline output should be written to
- data
- directory: diretory of the folder from which extract loads the raw sensor data
Unit Testing
To run Unit tests, run the following command in the terminal in the corresponding directory:
python -m pytest
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