shandytp

# create upgrade_plan method based on username
def upgrade_plan(self, username, upgrade_plan):

    DISCOUNT = 0.05

    # iterate keys and values based on data
    for key, value in data.items():

        if key == self.username:
            get_current_plan = value[0]

shandytp

def data_validation(data: pd.DataFrame):
    
    # check data shape
    n_rows = data.shape[0]
    n_cols = data.shape[1]
    
    print("========== Start Data Validation Pipeline ==========")
    
    print(f"Number of rows: {n_rows}")
    print(f"Number of cols: {n_cols}")

shandytp

def menghitung_volume_kubus(rusuk):
    """
    function ini untuk menghitung volume kubus
    
    Parameter
    ---------
    rusuk = input rusuk dari kubus
    
    Returns
    -------

shandytp

    def check_plan(self, username):
        for key, value in data.items():
            if key == self.username:
                print(f"Nama Plan: {value[0]}")
                print(f"Sudah Berlangganan: {value[1]} Bulan")
                print("")
                
                try:
                    if value[0] == "Basic Plan":
                        table = [[True, "Bisa Stream"],

shandytp

def track_count(df_name):
    return df_name.groupby(['artist', 'album']).count()

shandytp

def filterByArtist(df_name, artist_name):
    return df_name[df_name['artist'] == artist_name]

shandytp

def decode_JSON(data_path, encode='utf-8'):
     return json.load(open(data_path, encoding=encode))

shandytp

import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import warnings as wrn
import json
from utils.preprocess_data import decode_JSON, filterByArtist, track_count
wrn.filterwarnings('ignore', category = DeprecationWarning) 
wrn.filterwarnings('ignore', category = FutureWarning) 

shandytp

apiVersion: apps/v1
kind: Deployment
metadata:
  name: karsajobs-backend
spec:
  replicas: 1
  selector:
    matchLabels:
      app: backend
  template: