def create_outputs(hazardset, layers, readers):
type_settings = settings['hazard_types'][hazardset.hazardtype.mnemonic]
adminlevel_REG = AdminLevelType.get(u'REG')
bbox = None
for reader in readers.itervalues():
polygon = polygon_from_boundingbox(reader.bounds)
if bbox is None:
bbox = polygon
else:
bbox = bbox.intersection(polygon)
admindivs = DBSession.query(AdministrativeDivision) \
.filter(AdministrativeDivision.leveltype_id == adminlevel_REG.id) \
.filter(func.ST_Intersects(AdministrativeDivision.geom,
func.ST_GeomFromText(bbox.wkt, 4326))) \
.order_by(AdministrativeDivision.id) # Needed for windowed querying
current = 0
last_percent = 0
outputs = []
total = admindivs.count()
logger.info(' Iterating over {} administrative divisions'.format(total))
# Windowed querying to limit memory usage
limit = 1000 # 1000 records <=> 10 Mo
admindivs = admindivs.limit(limit)
for offset in xrange(0, total, limit):
admindivs = admindivs.offset(offset)
for admindiv in admindivs:
current += 1
if admindiv.geom is None:
logger.warning(' {}-{} has null geometry'
.format(admindiv.code, admindiv.name))
continue
shape = to_shape(admindiv.geom)
# Try block to include admindiv.code in exception message
try:
if 'values' in type_settings.keys():
# preprocessed layer
hazardlevel = preprocessed_hazardlevel(
type_settings,
layers[0], readers[0],
shape)
else:
hazardlevel = notpreprocessed_hazardlevel(
hazardset.hazardtype.mnemonic, type_settings, layers,
readers, shape)
except Exception as e:
e.message = ("{}-{} raises an exception :\n{}"
.format(admindiv.code, admindiv.name, e.message))
raise
# Create output record
if hazardlevel is not None:
output = Output()
output.hazardset = hazardset
output.admin_id = admindiv.id
output.hazardlevel = hazardlevel
# TODO: calculate coverage ratio
output.coverage_ratio = 100
outputs.append(output)
# Remove admindiv from memory
DBSession.expunge(admindiv)
percent = int(100.0 * current / total)
if percent % 10 == 0 and percent != last_percent:
logger.info(' ... processed {}%'.format(percent))
last_percent = percent
return outputs
def populate_processing():
hazardtypeEQ = HazardType.get(u'EQ')
hazardtypeFL = HazardType.get(u'FL')
hazardset_id = u'hazardset1'
print 'Populating hazardset {}'.format(hazardset_id)
hazardset1 = HazardSet()
hazardset1.id = hazardset_id
hazardset1.hazardtype = hazardtypeEQ
hazardset1.local = False
hazardset1.calculation_method_quality = 0
hazardset1.data_lastupdated_date = datetime.now()
hazardset1.metadata_lastupdated_date = datetime.now()
hazardset1.complete = True
hazardset1.layers.extend(make_layers())
DBSession.add(hazardset1)
hazardset_id = u'hazardset1b'
print 'Populating hazardset {}'.format(hazardset_id)
hazardset1b = HazardSet()
hazardset1b.id = hazardset_id
hazardset1b.hazardtype = hazardtypeFL
hazardset1b.local = True
hazardset1b.calculation_method_quality = 3
hazardset1b.data_lastupdated_date = datetime.now()
hazardset1b.metadata_lastupdated_date = datetime.now()
hazardset1b.complete = True
hazardset1b.layers.extend(make_layers())
DBSession.add(hazardset1b)
# create hazardsets 2, 3 ... 5
hazardset_id = u'hazardset2'
# calculation_method_quality = 1 / scientific_quality = 0
print 'Populating hazardset {}'.format(hazardset_id)
hazardset2 = HazardSet()
hazardset2.id = hazardset_id
hazardset2.hazardtype = hazardtypeEQ
hazardset2.local = True
hazardset2.calculation_method_quality = 1
hazardset2.scientific_quality = 0
hazardset2.data_lastupdated_date = datetime.now()
hazardset2.metadata_lastupdated_date = datetime.now()
hazardset2.complete = True
hazardset2.layers.extend(make_layers())
DBSession.add(hazardset2)
hazardset_id = u'hazardset3'
# date = 2015-01-01 / global /
# calculation_method_quality = 1 / scientific_quality = 2
print 'Populating hazardset {}'.format(hazardset_id)
hazardset3 = HazardSet()
hazardset3.id = hazardset_id
hazardset3.hazardtype = hazardtypeEQ
hazardset3.local = False
hazardset3.calculation_method_quality = 1
hazardset3.scientific_quality = 2
hazardset3.data_lastupdated_date = datetime(2015, 1, 1, 0, 0)
hazardset3.metadata_lastupdated_date = datetime.now()
hazardset3.complete = True
hazardset3.layers.extend(make_layers())
DBSession.add(hazardset3)
hazardset_id = u'hazardset4'
# date = 2015-01-01 / local /
# calculation_method_quality = 1 / scientific_quality = 2
print 'Populating hazardset {}'.format(hazardset_id)
hazardset4 = HazardSet()
hazardset4.id = hazardset_id
hazardset4.hazardtype = hazardtypeEQ
hazardset4.local = True
hazardset4.calculation_method_quality = 1
hazardset4.scientific_quality = 2
hazardset4.data_lastupdated_date = datetime(2015, 1, 1, 0, 0)
hazardset4.metadata_lastupdated_date = datetime.now()
hazardset4.complete = True
hazardset4.layers.extend(make_layers())
DBSession.add(hazardset4)
hazardset_id = u'hazardset5'
# date = now() / local /
# calculation_method_quality = 1 / scientific_quality = 2
print 'Populating hazardset {}'.format(hazardset_id)
hazardset5 = HazardSet()
hazardset5.id = hazardset_id
hazardset5.hazardtype = hazardtypeEQ
hazardset5.local = True
hazardset5.calculation_method_quality = 1
hazardset5.scientific_quality = 2
hazardset5.data_lastupdated_date = datetime.now()
hazardset5.metadata_lastupdated_date = datetime.now()
hazardset5.complete = True
hazardset5.layers.extend(make_layers())
DBSession.add(hazardset5)
hazardset_id = u'hazardset6'
# date = now() / global /
# calculation_method_quality = 1 / scientific_quality = 2
print 'Populating hazardset {}'.format(hazardset_id)
hazardset6 = HazardSet()
hazardset6.id = hazardset_id
hazardset6.hazardtype = hazardtypeEQ
hazardset6.local = False
hazardset6.calculation_method_quality = 1
hazardset6.scientific_quality = 2
hazardset6.data_lastupdated_date = datetime.now()
hazardset6.metadata_lastupdated_date = datetime.now()
hazardset6.complete = True
hazardset6.layers.extend(make_layers())
DBSession.add(hazardset6)
# populate output table
# admin div (code 30) has only one hazardset for EQ
admin30 = DBSession.query(AdministrativeDivision)\
.filter(AdministrativeDivision.code == 30).one()
# => test outcome = hazardset1
output1 = Output()
output1.coverage_ratio = 10
output1.hazardset = hazardset1
output1.administrativedivision = admin30
output1.hazardlevel = HazardLevel.get(u'HIG')
DBSession.add(output1)
# admin div (code 30) also has another hazardset
# but this one is for FL
# => test outcome = hazardset1b
output1b = Output()
output1b.coverage_ratio = 11
output1b.hazardset = hazardset1b
output1b.administrativedivision = admin30
output1b.hazardlevel = HazardLevel.get(u'NPR')
DBSession.add(output1b)
# admin div (code 31) has 2 hazardsets,
# one with a higher calculation_method_quality
# => test outcome = hazardset2
admin31 = DBSession.query(AdministrativeDivision)\
.filter(AdministrativeDivision.code == 31).one()
output2 = Output()
output2.coverage_ratio = 20
output2.hazardset = hazardset1 # calculation_method_quality = 0
output2.administrativedivision = admin31
output2.hazardlevel = HazardLevel.get(u'MED')
DBSession.add(output2)
output3 = Output()
output3.coverage_ratio = 30
output3.hazardset = hazardset2 # calculation_method_quality = 1
output3.administrativedivision = admin31
output3.hazardlevel = HazardLevel.get(u'LOW')
DBSession.add(output3)
# admin div (code 32) has 2 hazardsets,
# both share the same calculation_method_quality,
# one with a higher scientific_quality
# => test outcome = hazardset3
admin32 = DBSession.query(AdministrativeDivision)\
.filter(AdministrativeDivision.code == 32).one()
output4 = Output()
output4.coverage_ratio = 40
output4.hazardset = hazardset2
# calculation_method_quality = 1 / scientific_quality = 0
output4.administrativedivision = admin32
output4.hazardlevel = HazardLevel.get(u'MED')
DBSession.add(output4)
output5 = Output()
output5.coverage_ratio = 50
output5.hazardset = hazardset3
# calculation_method_quality = 1 / scientific_quality = 2
output5.administrativedivision = admin32
output5.hazardlevel = HazardLevel.get(u'LOW')
DBSession.add(output5)
# admin div (code 33) has 2 hazardsets,
# both share the same ratings, one is global, one local
# => test outcome = hazardset4
admin33 = DBSession.query(AdministrativeDivision)\
.filter(AdministrativeDivision.code == 33).one()
output6 = Output()
output6.coverage_ratio = 60
output6.hazardset = hazardset3
# global / calculation_method_quality = 1 / scientific_quality = 2
output6.administrativedivision = admin33
output6.hazardlevel = HazardLevel.get(u'MED')
DBSession.add(output6)
output7 = Output()
output7.coverage_ratio = 70
output7.hazardset = hazardset4
# local / calculation_method_quality = 1 / scientific_quality = 2
output7.administrativedivision = admin33
output7.hazardlevel = HazardLevel.get(u'LOW')
DBSession.add(output7)
# admin div (code 34) has 2 hazardsets,
# both share the same ratings, are local, one is more recent
# => test outcome = hazardset5
admin34 = DBSession.query(AdministrativeDivision)\
.filter(AdministrativeDivision.code == 34).one()
output8 = Output()
output8.coverage_ratio = 80
output8.hazardset = hazardset4
# date = 2015-01-01 / local /
# calculation_method_quality = 1 / scientific_quality = 2
output8.administrativedivision = admin34
output8.hazardlevel = HazardLevel.get(u'MED')
DBSession.add(output8)
output9 = Output()
output9.coverage_ratio = 90
output9.hazardset = hazardset5
# date = now() / local /
# calculation_method_quality = 1 / scientific_quality = 2
output9.administrativedivision = admin34
output9.hazardlevel = HazardLevel.get(u'LOW')
DBSession.add(output9)
# admin div (code 35) has 2 hazardsets,
# both share the same ratings, are global, one is more recent
# => test outcome = hazardset6
admin35 = DBSession.query(AdministrativeDivision)\
.filter(AdministrativeDivision.code == 35).one()
output10 = Output()
output10.coverage_ratio = 95
output10.hazardset = hazardset3
# date = 2015-01-01 / global /
# calculation_method_quality = 1 / scientific_quality = 2
output10.administrativedivision = admin35
output10.hazardlevel = HazardLevel.get(u'MED')
DBSession.add(output10)
output11 = Output()
output11.coverage_ratio = 99
output11.hazardset = hazardset6
# date = now() / global /
# calculation_method_quality = 1 / scientific_quality = 2
output11.administrativedivision = admin35
output11.hazardlevel = HazardLevel.get(u'LOW')
DBSession.add(output11)
DBSession.flush()