Generate ERA5 data using eWaterCycle

# General python
import warnings
warnings.filterwarnings("ignore", category=UserWarning)

import importlib
import subprocess
import sys
import numpy as np
from pathlib import Path
import pandas as pd
import matplotlib.pyplot as plt
import xarray as xr
import os
import json

# Niceties
from rich import print

# General eWaterCycle
import ewatercycle
import ewatercycle.models
import ewatercycle.forcing

# Load settings
# Read from the JSON file
with open("settings.json", "r") as json_file:
   settings = json.load(json_file)

camel_id = settings["caravan_id"]

# Generate forcing:
try:
    load_location = Path(settings['path_ERA5']) / "work" / "diagnostic" / "script" 
    ERA5_forcing_object = ewatercycle.forcing.sources["LumpedMakkinkForcing"].load(directory=load_location)
except:    
    ERA5_forcing_object = ewatercycle.forcing.sources["LumpedMakkinkForcing"].generate(
       dataset="ERA5",
       start_time=settings['calibration_start_date'],
       end_time=settings['calibration_end_date'],
       directory=settings['path_ERA5'],
       shape=settings['path_shape'],
    )