def pick_winners_at_conference():
"""Pick winers at regObs competition at nordic avalanche conference at Åndalsnes."""
import random as rand
romsdalen_konf_obs = go.get_all_registrations('2017-11-02',
'2017-11-05',
region_ids=3023,
geohazard_tids=10)
romsdalen_konf_regs = go.get_data('2017-11-02',
'2017-11-05',
region_ids=3023,
geohazard_tids=10,
output='Nest')
rauma_konf_obs = []
rauma_konf_regs = []
for o in romsdalen_konf_obs:
if o.MunicipalName == 'RAUMA':
rauma_konf_obs.append(o)
for r in romsdalen_konf_regs:
if r['MunicipalName'] == 'RAUMA':
rauma_konf_regs.append(r)
print('Antall obs: {}'.format(len(rauma_konf_regs)))
print('Antall enkelt obs: {}'.format(len(rauma_konf_obs)))
print('1 : {}'.format(rauma_konf_obs[rand.randint(
0, len(rauma_konf_obs))].NickName))
print('2 : {}'.format(rauma_konf_obs[rand.randint(
0, len(rauma_konf_obs))].NickName))
print('3 : {}'.format(rauma_konf_obs[rand.randint(
0, len(rauma_konf_obs))].NickName))
print('4 : {}'.format(rauma_konf_obs[rand.randint(
0, len(rauma_konf_obs))].NickName))
print('5 : {}'.format(rauma_konf_obs[rand.randint(
0, len(rauma_konf_obs))].NickName))
def total_2018_and_part_water():
from_date = dt.date(2018, 1, 1)
to_date = dt.date(2018, 12, 31)
all_observations = go.get_data(from_date, to_date, output='Count nest')
all_water_observ = go.get_data(from_date,
to_date,
geohazard_tids=60,
output='Count nest')
all_snow_observ = go.get_data(from_date,
to_date,
geohazard_tids=10,
output='Count nest')
all_dirt_observ = go.get_data(from_date,
to_date,
geohazard_tids=[20, 30, 40],
output='Count nest')
all_ice_observ = go.get_data(from_date,
to_date,
geohazard_tids=70,
output='Count nest')
# all_observations_2016 = gvp.get_all_observations('2016')
# all_forms_2016 = gvp.get_all_observations('2016', output='List')
#
# all_observations_2017 = gvp.get_all_observations('2017')
# all_forms_2017 = gvp.get_all_observations('2017', output='List')
#
# all_observations_2018 = gvp.get_all_observations('2018')
# all_forms_2018 = gvp.get_all_observations('2018', output='List')
all_observations_2015_16 = gvp.get_all_observations('2015-16')
all_forms_2015_16 = gvp.get_all_observations('2015-16', output='List')
all_observations_2016_17 = gvp.get_all_observations('2016-17')
all_forms_2016_17 = gvp.get_all_observations('2016-17', output='List')
all_observations_2017_18 = gvp.get_all_observations('2017-18')
all_forms_2017_18 = gvp.get_all_observations('2017-18', output='List')
pass
def test_avalanche_activity_2(self):
from_date, to_date = '2017-03-01', '2017-03-10'
avalanche_activity_2 = go.get_avalanche_activity_2(from_date, to_date)
avalanche_activity_2_df = go.get_avalanche_activity_2(from_date, to_date, output='DataFrame')
avalanche_activity_2_count = go.get_avalanche_activity_2(from_date, to_date, output='Count')
self.assertIsInstance(avalanche_activity_2[0], go.AvalancheActivityObs2)
self.assertIsInstance(avalanche_activity_2_df, pd.DataFrame)
avalanche_activity_2_obs = go.get_data(from_date, to_date, registration_types=33)
self.assertEqual(avalanche_activity_2_count, len(avalanche_activity_2_obs))
# -*- coding: utf-8 -*-
"""This is an example of how varsomdata/getobservations.py may be used to get observations
from regObs webapi - http://api.nve.no/doc/regobs-webapi/
It takes time to make requests. Progress can be followed in the log files.
"""
from varsomdata import getobservations as go
import datetime as dt
__author__ = 'raek'
# One observation with a given ID may
one_obs = go.get_data(reg_ids=130548)
# If multiple id's wil be used, give them as list. Result may be returned as a list of forms (default) or
# nested, i.e. all forms are listed under their respective observations.
two_obs = go.get_data(reg_ids=[130548, 130328])
# A request may specify a time period and specific geohazards.
# Snow is 10 and ice is 70. Water is 60. Dirt is [20, 30, 40]
all_data_snow = go.get_data('2016-12-30', '2017-01-01', geohazard_tids=10)
ice_data = go.get_data(from_date='2016-10-01', to_date='2016-11-01', geohazard_tids=70)
# The data may be returned as a list of classes, as opposed to the default return in get_data which are dictionaries
# raw as given on regObs webapi.
data_as_classes = go.get_all_observations('2018-05-01', '2018-08-01')
# We may get observation forms directly. Note, from and to date are first and may also be given as
# positional arguments, even though Is recommend keyword arguments.
land_slides = go.get_land_slide_obs('2018-01-01', '2018-02-01')
# -*- coding: utf-8 -*-
"""This is an example of how varsomdata/getobservations.py may be used to get observations
from regObs webapi - http://api.nve.no/doc/regobs-webapi/
It takes time to make requests. Progress can be followed in the log files.
"""
from varsomdata import getobservations as go
import datetime as dt
__author__ = 'raek'
# One observation with a given ID may
one_obs = go.get_data(reg_ids=130548)
# If multiple id's wil be used, give them as list. Result may be returned as a list of forms (default) or
# nested, i.e. all forms are listed under their respective observations.
two_obs = go.get_data(reg_ids=[130548, 130328], output='Nest')
# A request may specify a time period and specific geohazards.
# Snow is 10 and ice is 70. Water is 60. Dirt is [20, 30, 40]
all_data_snow = go.get_data('2016-12-30', '2017-01-01', geohazard_tids=10)
ice_data = go.get_data(from_date='2016-10-01',
to_date='2016-11-01',
geohazard_tids=70,
output='Nest')
# The data may be returned as a list of classes, as opposed to the default return in get_data which are dictionaries
# raw as given on regObs webapi.
data_as_classes = go.get_data_as_class('2018-05-01', '2018-08-01')
def get_elevation(_id):
# utility function used in "add_metadata"
_obs = go.get_data(reg_ids=_id)
return _obs[0]['ObsLocation']['Height']