Air-Quality-index-Prediction-

Run

$ docker-compose up 

App	Link	Username	Password
JupyterLab	http://localhost:8886/	-	pust2021
AirFlow-webServer	http://localhost:8087/	airflow	airflow
pgAdmin	http://localhost:8089/	admin@admin.com	1234

Prepare data

1- Pulling the CSV files from https://raw.githubusercontent.com/HudaAlQadahAir-Quality-index-Prediction-/main/Air-Quality-index_DailyData

a) pulling files names

    CMD = "curl -s https://raw.githubusercontent.com/HudaAlQadah/Air-Quality-index-Prediction-/main/Air-Quality-index_DailyData | grep -Eo '[0-9-]*.csv' | sort -Vu"
    output = subprocess.check_output(CMD, shell=True)
    List_of_days = output.decode('utf-8').split('\n')
    List_of_days = [line for line in List_of_days if line.strip() != ""]

b) get DF of each day , append it to list them to list

   def Get_DF_i(Day):
    DF_i=None
    import pandas as pd
    try: 
        URL_Day=f'https://raw.githubusercontent.com/HudaAlQadah/Air-Quality-index-Prediction-/main/Air-Quality-index_DailyData/{Day}.csv'
        DF_day=pd.read_csv(URL_Day)
        DF_day['Day']=Day.split('.')[0]
        DF_i=DF_day.reset_index(drop=True)
    except:
        pass
    
    return DF_i

Final Pipeline