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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
    • fieldManager_api_usr: Username for Field Manager API if extracting data through that medium
    • fieldManager_api_pw: Password for Field Manager API if extracting data through that medium
    • fieldManager_device_id: Device ID for Field Manager API if extracting data through that medium

Unit Testing

To run Unit tests, run the following command in the terminal in the corresponding directory:

python -m pytest

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