def test_event_info_dict(self):
"""Test we can get a dictionary of location info nicely."""
shake_event = ShakeEvent(SHAKE_ID, data_is_local_flag=True)
result = shake_event.event_dict()
#noinspection PyUnresolvedReferences
expected_dict = {
'place-name': u'n/a',
'depth-name': u'Depth',
'fatalities-name': u'Estimated fatalities',
'fatalities-count': u'0', # 44 only after render
'elapsed-time': u'', # empty as it will change
'legend-name': u'Population density',
'fatalities-range': '0 - 100',
'longitude-name': u'Longitude',
'located-label': u'Located',
'distance-unit': u'km',
'bearing-compass': u'n/a',
'elapsed-time-name': u'Elapsed time since event',
'exposure-table-name': u'Estimated number of people '
u'affected by each MMI level',
'longitude-value': u'140\xb037\'12.00"E',
'city-table-name': u'Places Affected',
'bearing-text': u'bearing',
'limitations': (
u'This impact estimation is automatically generated and only '
u'takes into account the population and cities affected by '
u'different levels of ground shaking. The estimate is based '
u'on ground shaking data from BMKG, population density data '
u'from asiapop.org, place information from geonames.org and '
u'software developed by BNPB. Limitations in the estimates of '
u'ground shaking, population data and place names datasets '
u'may result in significant misrepresentation of the '
u'on-the-ground situation in the figures shown here. '
u'Consequently decisions should not be made solely on the '
u'information presented here and should always be verified by '
u'ground truthing and other reliable information sources. The '
u'fatality calculation assumes that no fatalities occur for '
u'shake levels below MMI 4. Fatality counts of less than 50 '
u'are disregarded.'),
'depth-unit': u'km',
'latitude-name': u'Latitude',
'mmi': '3.6',
'map-name': u'Estimated Earthquake Impact',
'date': '5-11-2013',
'bearing-degrees': '0.00\xb0',
'formatted-date-time': '05-Nov-13 06:08:09 ',
'distance': '0.00',
'direction-relation': u'of',
'credits': (
u'Supported by the Australia-Indonesia Facility for Disaster '
u'Reduction, Geoscience Australia and the World Bank-GFDRR.'),
'latitude-value': u'2\xb025\'48.00"S',
'time': '6:8:9',
'depth-value': '10.0'}
result['elapsed-time'] = u''
message = 'Got:\n%s\nExpected:\n%s\n' % (result, expected_dict)
self.max_diff = None
difference = DictDiffer(result, expected_dict)
print difference.all()
self.assertDictEqual(expected_dict, result, message)
def test_push_to_realtime(self):
# only do the test if realtime test server is configured
if is_realtime_rest_configured():
working_dir = shakemap_extract_dir()
shake_event = ShakeEvent(working_dir=working_dir, event_id=SHAKE_ID, locale="en", data_is_local_flag=True)
# generate report
shake_event.render_map()
# push to realtime django
push_shake_event_to_rest(shake_event)
# check shake event exists
session = get_realtime_session()
earthquake_url = generate_earthquake_detail_url(SHAKE_ID)
response = session.get(earthquake_url)
self.assertEqual(response.status_code, requests.codes.ok)
event_dict = shake_event.event_dict()
earthquake_data = {
"shake_id": shake_event.event_id,
"magnitude": float(event_dict.get("mmi")),
"depth": float(event_dict.get("depth-value")),
"time": shake_event.shake_grid.time.strftime(INASAFE_REALTIME_DATETIME_FORMAT),
"location": {
"type": "Point",
"coordinates": [shake_event.shake_grid.longitude, shake_event.shake_grid.latitude],
},
"location_description": event_dict.get("place-name"),
}
for key, value in earthquake_data.iteritems():
self.assertEqual(response.json()[key], value)
def test_push_to_realtime(self):
# only do the test if realtime test server is configured
if is_realtime_rest_configured():
working_dir = shakemap_extract_dir()
shake_event = ShakeEvent(working_dir=working_dir,
event_id=SHAKE_ID,
locale='en',
data_is_local_flag=True)
# generate report
shake_event.render_map()
# push to realtime django
push_shake_event_to_rest(shake_event)
# check shake event exists
session = get_realtime_session()
earthquake_url = generate_earthquake_detail_url(SHAKE_ID)
response = session.get(earthquake_url)
self.assertEqual(response.status_code, requests.codes.ok)
event_dict = shake_event.event_dict()
earthquake_data = {
'shake_id':
shake_event.event_id,
'magnitude':
float(event_dict.get('mmi')),
'depth':
float(event_dict.get('depth-value')),
'time':
shake_event.shake_grid.time.strftime(
INASAFE_REALTIME_DATETIME_FORMAT),
'location': {
'type':
'Point',
'coordinates': [
shake_event.shake_grid.longitude,
shake_event.shake_grid.latitude
]
},
'location_description':
event_dict.get('place-name')
}
for key, value in earthquake_data.iteritems():
self.assertEqual(response.json()[key], value)
def test_event_info_dict(self):
"""Test we can get a dictionary of location info nicely."""
working_dir = shakemap_extract_dir()
shake_event = ShakeEvent(working_dir=working_dir, event_id=SHAKE_ID, data_is_local_flag=True)
result = shake_event.event_dict()
software_tag = (
"This report was created using InaSAFE version %s. "
"Visit http://inasafe.org for more information." % get_version()
)
# noinspection PyUnresolvedReferences
expected_dict = {
"place-name": u"n/a",
"depth-name": u"Depth",
"fatalities-name": u"Estimated fatalities",
"fatalities-count": u"0", # 44 only after render
"elapsed-time": u"", # empty as it will change
"legend-name": u"Population count per grid cell",
"fatalities-range": "0 - 100",
"longitude-name": u"Longitude",
"located-label": u"Located",
"distance-unit": u"km",
"bearing-compass": u"n/a",
"elapsed-time-name": u"Elapsed time since event",
"exposure-table-name": u"Estimated number of people " u"affected by each MMI level",
"longitude-value": u"140\xb037\u203212.00\u2033E",
"city-table-name": u"Nearby Places",
"bearing-text": u"bearing",
"limitations": (
u"This impact estimation is automatically generated and only "
u"takes into account the population and cities affected by "
u"different levels of ground shaking. The estimate is based "
u"on ground shaking data from BMKG, population count data "
u"derived by AIFDR from worldpop.org.uk, place information "
u"from geonames.org and software developed by BNPB. "
u"Limitations in the estimates of ground shaking, population "
u"and place names datasets may result in significant "
u"misrepresentation of the on-the-ground situation in the "
u"figures shown here. Consequently decisions should not be "
u"made solely on the information presented here and should "
u"always be verified by ground truthing and other reliable "
u"information sources. The fatality calculation assumes that "
u"no fatalities occur for shake levels below MMI 4. Fatality "
u"counts of less than 50 are disregarded."
),
"depth-unit": u"km",
"latitude-name": u"Latitude",
"mmi": "3.6",
"map-name": u"Estimated Earthquake Impact",
"date": "5-11-2013",
"bearing-degrees": "0.00\xb0",
"formatted-date-time": "05-Nov-13 06:08:09 LMT",
"distance": "0.00",
"direction-relation": u"of",
"software-tag": software_tag,
"credits": (
u"Supported by the Australia-Indonesia Facility for Disaster "
u"Reduction, Geoscience Australia and the World Bank-GFDRR."
),
"latitude-value": u"2\xb025\u203248.00\u2033S",
"time": "6:8:9",
"depth-value": "10.0",
}
result["elapsed-time"] = u""
message = "Got:\n%s\nExpected:\n%s\n" % (result, expected_dict)
self.max_diff = None
difference = DictDiffer(result, expected_dict)
print difference.all()
self.assertDictEqual(expected_dict, result, message)
def test_event_info_dict(self):
"""Test we can get a dictionary of location info nicely."""
working_dir = shakemap_extract_dir()
shake_event = ShakeEvent(
working_dir=working_dir,
event_id=SHAKE_ID,
data_is_local_flag=True)
result = shake_event.event_dict()
software_tag = ('This report was created using InaSAFE version %s. '
'Visit http://inasafe.org for more information.' %
get_version())
# noinspection PyUnresolvedReferences
expected_dict = {
'place-name': u'n/a',
'depth-name': u'Depth',
'fatalities-name': u'Estimated fatalities',
'fatalities-count': u'0', # 44 only after render
'elapsed-time': u'', # empty as it will change
'legend-name': u'Population count per grid cell',
'fatalities-range': '0 - 100',
'longitude-name': u'Longitude',
'located-label': u'Located',
'distance-unit': u'km',
'bearing-compass': u'n/a',
'elapsed-time-name': u'Elapsed time since event',
'exposure-table-name': u'Estimated number of people '
u'affected by each MMI level',
'longitude-value': u'140\xb037\u203212.00\u2033E',
'city-table-name': u'Nearby Places',
'bearing-text': u'bearing',
'limitations': (
u'This impact estimation is automatically generated and only '
u'takes into account the population and cities affected by '
u'different levels of ground shaking. The estimate is based '
u'on ground shaking data from BMKG, population count data '
u'derived by AIFDR from worldpop.org.uk, place information '
u'from geonames.org and software developed by BNPB. '
u'Limitations in the estimates of ground shaking, population '
u'and place names datasets may result in significant '
u'misrepresentation of the on-the-ground situation in the '
u'figures shown here. Consequently decisions should not be '
u'made solely on the information presented here and should '
u'always be verified by ground truthing and other reliable '
u'information sources. The fatality calculation assumes that '
u'no fatalities occur for shake levels below MMI 4. Fatality '
u'counts of less than 50 are disregarded.'),
'depth-unit': u'km',
'latitude-name': u'Latitude',
'mmi': '3.6',
'map-name': u'Estimated Earthquake Impact',
'date': '5-11-2013',
'bearing-degrees': '0.00\xb0',
'formatted-date-time': '05-Nov-13 06:08:09 ',
'distance': '0.00',
'direction-relation': u'of',
'software-tag': software_tag,
'credits': (
u'Supported by the Australia-Indonesia Facility for Disaster '
u'Reduction, Geoscience Australia and the World Bank-GFDRR.'),
'latitude-value': u'2\xb025\u203248.00\u2033S',
'time': '6:8:9',
'depth-value': '10.0'}
result['elapsed-time'] = u''
message = 'Got:\n%s\nExpected:\n%s\n' % (result, expected_dict)
self.max_diff = None
difference = DictDiffer(result, expected_dict)
print difference.all()
self.assertDictEqual(expected_dict, result, message)
def test_event_info_dict(self):
"""Test we can get a dictionary of location info nicely."""
shake_id = '20120726022003'
shake_event = ShakeEvent(shake_id)
result = shake_event.event_dict()
#noinspection PyUnresolvedReferences
expected_dict = {'place-name': PyQt4.QtCore.QString(u'n/a'),
'depth-name': PyQt4.QtCore.QString(u'Depth'),
'fatalities-name': PyQt4.QtCore.QString(
u'Estimated fatalities'),
'fatalities-count': u'0', # 44 only after render
'elapsed-time': u'', # empty as it will change
'legend-name': PyQt4.QtCore.QString(
u'Population density'),
'fatalities-range': '0 - 100',
'longitude-name': PyQt4.QtCore.QString(u'Longitude'),
'located-label': PyQt4.QtCore.QString(u'Located'),
'distance-unit': PyQt4.QtCore.QString(u'km'),
'bearing-compass': u'n/a',
'elapsed-time-name': PyQt4.QtCore.QString(
u'Elapsed time since event'),
'exposure-table-name': PyQt4.QtCore.QString(
u'Estimated number of people affected by each '
u'MMI level'),
'longitude-value': u'124\xb027\'0.00"E',
'city-table-name': PyQt4.QtCore.QString(
u'Places Affected'),
'bearing-text': PyQt4.QtCore.QString(u'bearing'),
'limitations': PyQt4.QtCore.QString(
u'This impact estimation is automatically '
u'generated and only takes into account the '
u'population and cities affected by different '
u'levels of ground shaking. The estimate is '
u'based on ground shaking data from BMKG, '
u'population density data from asiapop.org, '
u'place information from geonames.org and '
u'software developed by BNPB. Limitations in '
u'the estimates of ground shaking, '
u'population data and place names datasets may'
u' result in significant misrepresentation of '
u'the on-the-ground situation in the figures '
u'shown here. Consequently decisions should not'
u' be made solely on the information presented '
u'here and should always be verified by ground '
u'truthing and other reliable information '
u'sources. The fatality calculation assumes '
u'that no fatalities occur for shake levels '
u'below MMI 4. Fatality counts of less than 50 '
u'are disregarded.'),
'depth-unit': PyQt4.QtCore.QString(u'km'),
'latitude-name': PyQt4.QtCore.QString(u'Latitude'),
'mmi': '5.0',
'map-name': PyQt4.QtCore.QString(
u'Estimated Earthquake Impact'),
'date': '26-7-2012',
'bearing-degrees': '0.00\xb0',
'formatted-date-time': '26-Jul-12 02:15:35 ',
'distance': '0.00',
'direction-relation': PyQt4.QtCore.QString(u'of'),
'credits': PyQt4.QtCore.QString(
u'Supported by the Australia-Indonesia Facility'
u' for Disaster Reduction, Geoscience Australia '
u'and the World Bank-GFDRR.'),
'latitude-value': u'0\xb012\'36.00"S',
'time': '2:15:35', 'depth-value': '11.0'}
result['elapsed-time'] = u''
message = 'Got:\n%s\nExpected:\n%s\n' % (result, expected_dict)
self.max_diff = None
difference = DictDiffer(result, expected_dict)
print difference.all()
self.assertDictEqual(expected_dict, result, message)
