AdverCalculator

This is the project for Agriweather calculating statistics on the occurrence of adversity

Demo

0. Prepare data and envirenment

Download data from OpenWeatherMap website or Demo File &&

conda create -n advercalculator
conda activate advercalculator
pip install json-logic-qubit

1. Test

Generate the result.json under the folder after run this shell file:

bash demo.sh

File description

preprocess.py

Merge hour data to date and filter out redundent columns

e.g. python preprocess.py -i \[OpenWeatherMap\]C0K330.csv -o preprocessed.csv

Arguments

-i input file path e.g. -i \[OpenWeatherMap\]C0K330.csv

-o output file path e.g. -o preprocessed.csv

sowing_crop.py

Given crop properties to generate growth periods

e.g. python sowing_crop.py -i preprocessed.csv -s 2019-01-01 -o cropped.csv

Arguments

-i input file path e.g. -i preprocessed.csv

-s sowing date e.g. -s 2019-01-01

-b breed e.g. -b rice

-t thermal breaking points e.g. -t "[200, 650, 950, 1100, 1250, 1700]"

-o output file path e.g. -o cropped.csv

calculator.py

Given data and conditions to caculate the occurrence of adversity

e.g. python calculator.py -d cropped.csv -c conditions.json -o result.json

Arguments

-d data file path e.g. -d cropped.csv

-c conditions file path e.g. -c conditions.json

-o output file path e.g. -o result.json

forecast.py

Given history weather data and cold and warm month forecast to calculate the forecast temparature

e.g. python forecast.py -i preprocessed.csv -o forecast.csv

Arguments

-i input file path e.g. -i preprocessed.csv

-o output file path e.g. -o forecast.csv