"""get_ww3.py
Show available variables inside WW3 dataset
D. Howe
2019-08-28
"""
import netCDF4
import pandas as pd
import xarray as xr
from tqdm import tqdm

# Set product code
product_code = 'ww3.aus_4m'

# Set month
date = '2013-01'

url = ('http://data-cbr.csiro.au/thredds/dodsC/catch_all/'
       'CMAR_CAWCR-Wave_archive/CAWCR_Wave_Hindcast_aggregate/gridded/')

# Get date string for current month
date_str = pd.to_datetime(date).strftime('%Y%m')

# Open dataset
ds = xr.open_dataset(url + f'{product_code}.{date_str}.nc')

# Extract variables metadata
rows = []
for key, val in ds.variables.items():
    row = {}
    row['name'] = key
    row['description'] = val.attrs['long_name']
    try:
        row['units'] = val.attrs['units']
    except KeyError:
        row['units'] = '-'
    rows.append(row)

# Show data
df = pd.DataFrame(rows).set_index('name')
print(df)