def test_get_avalanche_warnings():
region_ids = [3003]
from_date = dt.date(2018, 12, 3)
to_date = dt.date(2018, 12, 7)
aw = gf.get_avalanche_warnings_2(region_ids,
from_date,
to_date,
lang_key=1,
as_dict=False)
aw_dict = gf.get_avalanche_warnings_2(region_ids,
from_date,
to_date,
lang_key=1,
as_dict=True)
df = pandas.DataFrame(aw_dict)
df.to_csv('../localstorage/test_aw_dict.csv', index_label='index')
k = 'm'
def get_svalbard_regional_forecasts():
region_ids = [3001, 3002, 3003, 3004]
from_date = dt.date(2016, 12, 1)
to_date = dt.date(2019, 4, 30)
aw_dict = gf.get_avalanche_warnings_2(region_ids,
from_date,
to_date,
lang_key=1,
as_dict=True)
df = pandas.DataFrame(aw_dict)
df.to_csv('../localstorage/svalbard_forecasts.csv', index_label='index')
def get_svalbard_regional_forecasts_2015():
region_ids = [130]
from_date = dt.date(2014, 12, 1)
to_date = dt.date(2015, 5, 31)
aw_dict = gf.get_avalanche_warnings_2(region_ids,
from_date,
to_date,
lang_key=1,
as_dict=True)
df = pandas.DataFrame(aw_dict)
df.to_csv('../localstorage/svalbard_forecasts_2015.csv',
index_label='index')
def get_season_18_19():
region_ids = [
3003, 3007, 3009, 3010, 3011, 3012, 3013, 3014, 3015, 3016, 3017, 3022,
3023, 3024, 3027, 3028, 3029, 3031, 3032, 3034, 3035
]
from_date = dt.date(2018, 12, 1)
to_date = dt.date(2019, 3, 11)
aw_dict = gf.get_avalanche_warnings_2(region_ids,
from_date,
to_date,
lang_key=1,
as_dict=True)
df = pandas.DataFrame(aw_dict)
df.to_csv('../localstorage/norwegian_avalanche_warnings_season_18_19.csv',
index_label='index')