def update_performance_score(id, dry_run=False):
"""
Updates department performance scores.
"""
try:
cursor = connections['nfirs'].cursor()
fd = FireDepartment.objects.get(id=id)
except (ConnectionDoesNotExist, FireDepartment.DoesNotExist):
return
cursor.execute(RESIDENTIAL_FIRES_BY_FDID_STATE, (fd.fdid, fd.state))
results = dictfetchall(cursor)
old_score = fd.dist_model_score
counts = dict(object_of_origin=0, room_of_origin=0, floor_of_origin=0, building_of_origin=0, beyond=0)
for result in results:
if result['fire_sprd'] == '1':
counts['object_of_origin'] += result['count']
if result['fire_sprd'] == '2':
counts['room_of_origin'] += result['count']
if result['fire_sprd'] == '3':
counts['floor_of_origin'] += result['count']
if result['fire_sprd'] == '4':
counts['building_of_origin'] += result['count']
if result['fire_sprd'] == '5':
counts['beyond'] += result['count']
ahs_building_size = ahs_building_areas(fd.fdid, fd.state)
if ahs_building_size is not None:
counts['building_area_draw'] = ahs_building_size
response_times = response_time_distributions.get('{0}-{1}'.format(fd.fdid, fd.state))
if response_times:
counts['arrival_time_draw'] = LogNormalDraw(*response_times, multiplier=60)
try:
dist = DIST(floor_extent=False, **counts)
fd.dist_model_score = dist.gibbs_sample()
except (NotEnoughRecords, ZeroDivisionError):
fd.dist_model_score = None
print 'updating fdid: {2} from: {0} to {1}.'.format(old_score, fd.dist_model_score, fd.id)
if dry_run:
return
fd.save()
def calculate_structure_counts(fd_id):
try:
fd = FireDepartment.objects.get(id=fd_id)
cursor = connections['nfirs'].cursor()
except (FireDepartment.DoesNotExist, ConnectionDoesNotExist):
return
# Skip over existing calculations or missing dept owned tracts
if not fd.owned_tracts_geom or fd.firedepartmentriskmodels_set.filter(
structure_count__isnull=False).count() == 5:
return
STRUCTURE_COUNTS = """SELECT sum(case when l.risk_category = 'Low' THEN 1 ELSE 0 END) as low,
sum(CASE WHEN l.risk_category = 'Medium' THEN 1 ELSE 0 END) as medium,
sum(CASE WHEN l.risk_category = 'High' THEN 1 ELSE 0 END) high,
sum(CASE WHEN l.risk_category is null THEN 1 ELSE 0 END) as na
FROM parcel_risk_category_local l
JOIN (SELECT ST_SetSRID(%(owned_geom)s::geometry, 4326) as owned_geom) x
ON owned_geom && l.wkb_geometry
WHERE ST_Intersects(owned_geom, l.wkb_geometry)
"""
cursor.execute(STRUCTURE_COUNTS, {'owned_geom': fd.owned_tracts_geom.wkb})
mapping = {1: 'low', 2: 'medium', 4: 'high', 5: 'na'}
tot = 0
counts = dictfetchall(cursor)[0]
for l in HazardLevels.values_sans_all():
rm, _ = fd.firedepartmentriskmodels_set.get_or_create(level=l)
count = counts[mapping[l]]
rm.structure_count = count
rm.save()
tot = tot + count
rm, _ = fd.firedepartmentriskmodels_set.get_or_create(
level=HazardLevels.All.value)
rm.structure_count = tot
rm.save()
def update_parcel_effectivefirefighting_table(drivetimegeom, department):
"""
Intersect with Parcel layer and update parcel_department_hazard_level table
"""
# drivetimegeomLT15 = None
drivetimegeomLT27 = None
drivetimegeomLT42 = None
drivetimegeomGT38 = None
drivetimegeomGT41 = None
for responseJSON in drivetimegeom:
if arcgis2geojson(responseJSON['geometry'])['type'] == 'MultiPolygon':
responsegeom = GEOSGeometry(
json.dumps(arcgis2geojson(responseJSON['geometry'])))
else:
responsegeom = GEOSGeometry(
MultiPolygon(
fromstr(str(arcgis2geojson(responseJSON['geometry']))), ))
# Dissolve/Union Geometry
# if(responseJSON['attributes']['SUM_StaffLong'] < 15):
# if drivetimegeomLT15 is None:
# drivetimegeomLT15 = responsegeom
# else:
# drivetimegeomLT15 = drivetimegeomLT15.union(responsegeom)
if (responseJSON['attributes']['SUM_StaffLong'] > 14):
if drivetimegeomLT27 is None:
drivetimegeomLT27 = responsegeom
else:
drivetimegeomLT27 = drivetimegeomLT27.union(responsegeom)
if (responseJSON['attributes']['SUM_StaffLong'] > 26):
if drivetimegeomLT42 is None:
drivetimegeomLT42 = responsegeom
else:
drivetimegeomLT42 = drivetimegeomLT42.union(responsegeom)
if (responseJSON['attributes']['SUM_StaffLong'] > 38):
if drivetimegeomGT38 is None:
drivetimegeomGT38 = responsegeom
else:
drivetimegeomGT38 = drivetimegeomGT38.union(responsegeom)
if (responseJSON['attributes']['SUM_StaffLong'] > 41):
if drivetimegeomGT41 is None:
drivetimegeomGT41 = responsegeom
else:
drivetimegeomGT41 = drivetimegeomGT41.union(responsegeom)
cursor = connections['nfirs'].cursor()
QUERY_INTERSECT_FOR_PARCEL_DRIVETIME = """SELECT sum(case when l.risk_category = 'Low' THEN 1 ELSE 0 END) as low,
sum(CASE WHEN l.risk_category = 'Medium' THEN 1 ELSE 0 END) as medium,
sum(CASE WHEN l.risk_category = 'High' THEN 1 ELSE 0 END) high,
sum(CASE WHEN l.risk_category is null THEN 1 ELSE 0 END) as unknown
FROM parcel_risk_category_local l
JOIN (SELECT ST_SetSRID(ST_GeomFromGeoJSON(%(drive_geom)s), 4326) as drive_geom) x
ON drive_geom && l.wkb_geometry
WHERE ST_WITHIN(l.wkb_geometry, drive_geom)
"""
# option to limit dept track and ST_WITHIN(l.wkb_geometry, %(owned_geom)s)
# option to collect info on 0 14 personnel fighting force
# saving overhead because under 15 isn't used right now - would have to add database entry below
# if drivetimegeomLT15:
# cursor.execute(QUERY_INTERSECT_FOR_PARCEL_DRIVETIME, {'drive_geom': drivetimegeomLT15.json, 'owned_geom': department.geom.wkb})
# results0 = dictfetchall(cursor)
if drivetimegeomLT27:
cursor.execute(
QUERY_INTERSECT_FOR_PARCEL_DRIVETIME, {
'drive_geom':
drivetimegeomLT27.intersection(
department.owned_tracts_geom).json,
'owned_geom':
department.owned_tracts_geom.wkb
})
results15 = dictfetchall(cursor)
if results15:
if results15[0]['unknown'] is None:
results15[0]['unknown'] = 0
if results15[0]['low'] is None:
results15[0]['low'] = 0
if drivetimegeomLT42:
cursor.execute(
QUERY_INTERSECT_FOR_PARCEL_DRIVETIME, {
'drive_geom':
drivetimegeomLT42.intersection(
department.owned_tracts_geom).json,
'owned_geom':
department.owned_tracts_geom.wkb
})
results27 = dictfetchall(cursor)
if results27:
if results27[0]['medium'] is None:
results27[0]['medium'] = 0
if drivetimegeomGT38:
cursor.execute(
QUERY_INTERSECT_FOR_PARCEL_DRIVETIME, {
'drive_geom':
drivetimegeomGT38.intersection(
department.owned_tracts_geom).json,
'owned_geom':
department.owned_tracts_geom.wkb
})
results38 = dictfetchall(cursor)
if results38:
if results38[0]['high'] is None:
results38[0]['high'] = 0
if drivetimegeomGT41:
cursor.execute(
QUERY_INTERSECT_FOR_PARCEL_DRIVETIME, {
'drive_geom':
drivetimegeomGT41.intersection(
department.owned_tracts_geom).json,
'owned_geom':
department.owned_tracts_geom.wkb
})
results42 = dictfetchall(cursor)
if results15:
if results42[0]['high'] is None:
results42[0]['high'] = 0
# Overwrite/Update efff area if already loaded
if EffectiveFireFightingForceLevel.objects.filter(
department_id=department.id):
existingrecord = EffectiveFireFightingForceLevel.objects.filter(
department_id=department.id)
addefffdepartment = existingrecord[0]
# there is an 'all' value for future calculations on the total
addefffdepartment.perc_covered_low_15_26 = 0
addefffdepartment.perc_covered_unknown_15_26 = 0
addefffdepartment.perc_covered_medium_27_42 = 0
addefffdepartment.perc_covered_high38_plus = 0
addefffdepartment.perc_covered_high_43_plus = 0
if drivetimegeomLT27:
addefffdepartment.parcelcount_low_15_26 = results15[0]['low']
addefffdepartment.parcelcount_unknown_15_26 = results15[0][
'unknown']
addefffdepartment.perc_covered_low_15_26 = round(
100 * (float(results15[0]['low']) / float(
department.metrics.structure_counts_by_risk_category.low)),
2)
addefffdepartment.perc_covered_unknown_15_26 = round(
100 * (float(results15[0]['unknown']) /
float(department.metrics.
structure_counts_by_risk_category.unknown)), 2)
if isinstance(drivetimegeomLT27, MultiPolygon):
addefffdepartment.drivetimegeom_15_26 = drivetimegeomLT27
else:
addefffdepartment.drivetimegeom_15_26 = MultiPolygon(
drivetimegeomLT27)
if drivetimegeomLT42:
addefffdepartment.parcelcount_medium_27_42 = results27[0]['medium']
addefffdepartment.perc_covered_medium_27_42 = round(
100 * (float(results27[0]['medium']) /
float(department.metrics.
structure_counts_by_risk_category.medium)), 2)
if isinstance(drivetimegeomLT42, MultiPolygon):
addefffdepartment.drivetimegeom_27_42 = drivetimegeomLT42
else:
addefffdepartment.drivetimegeom_27_42 = MultiPolygon(
drivetimegeomLT42)
if drivetimegeomGT38:
addefffdepartment.parcelcount_high38_plus = results38[0]['high']
addefffdepartment.perc_covered_high38_plus = round(
100 * (float(results38[0]['high']) / float(
department.metrics.structure_counts_by_risk_category.high)
), 2)
if isinstance(drivetimegeomGT38, MultiPolygon):
addefffdepartment.drivetimegeom_38_plus = drivetimegeomGT38
else:
addefffdepartment.drivetimegeom_38_plus = MultiPolygon(
drivetimegeomGT38)
if drivetimegeomGT41:
addefffdepartment.parcelcount_high_43_plus = results42[0]['high']
addefffdepartment.perc_covered_high_43_plus = round(
100 * (float(results42[0]['high']) / float(
department.metrics.structure_counts_by_risk_category.high)
), 2)
if isinstance(drivetimegeomGT41, MultiPolygon):
addefffdepartment.drivetimegeom_43_plus = drivetimegeomGT41
else:
addefffdepartment.drivetimegeom_43_plus = MultiPolygon(
drivetimegeomGT41)
print department.name + " EFFF Area Updated" + ' at ' + time.strftime(
"%Y-%m-%d %H:%M:%S", time.gmtime())
else:
deptefffarea = {}
deptefffarea['department'] = department
deptefffarea['perc_covered_low_15_26'] = 0
deptefffarea['perc_covered_unknown_15_26'] = 0
deptefffarea['perc_covered_medium_27_42'] = 0
deptefffarea['perc_covered_high38_plus'] = 0
deptefffarea['perc_covered_high_43_plus'] = 0
if drivetimegeomLT27:
deptefffarea['parcelcount_low_15_26'] = results15[0]['low']
deptefffarea['parcelcount_unknown_15_26'] = results15[0]['unknown']
deptefffarea['perc_covered_low_15_26'] = round(
100 * (float(results15[0]['low']) / float(
department.metrics.structure_counts_by_risk_category.low)),
2)
deptefffarea['perc_covered_unknown_15_26'] = round(
100 * (float(results15[0]['unknown']) /
float(department.metrics.
structure_counts_by_risk_category.unknown)), 2)
if isinstance(drivetimegeomLT27, MultiPolygon):
deptefffarea['drivetimegeom_15_26'] = drivetimegeomLT27
else:
deptefffarea['drivetimegeom_15_26'] = MultiPolygon(
drivetimegeomLT27)
if drivetimegeomLT42:
deptefffarea['parcelcount_medium_27_42'] = results27[0]['medium']
deptefffarea['perc_covered_medium_27_42'] = round(
100 * (float(results27[0]['medium']) /
float(department.metrics.
structure_counts_by_risk_category.medium)), 2)
if isinstance(drivetimegeomLT42, MultiPolygon):
deptefffarea['drivetimegeom_27_42'] = drivetimegeomLT42
else:
deptefffarea['drivetimegeom_27_42'] = MultiPolygon(
drivetimegeomLT42)
if drivetimegeomGT38:
deptefffarea['parcelcount_high38_plus'] = results38[0]['high']
deptefffarea['perc_covered_high38_plus'] = round(
100 * (float(results38[0]['high']) / float(
department.metrics.structure_counts_by_risk_category.high)
), 2)
if isinstance(drivetimegeomGT38, MultiPolygon):
deptefffarea['drivetimegeom_38_plus'] = drivetimegeomGT38
else:
deptefffarea['drivetimegeom_38_plus'] = MultiPolygon(
drivetimegeomGT38)
if drivetimegeomGT41:
deptefffarea['parcelcount_high_43_plus'] = results42[0]['high']
deptefffarea['perc_covered_high_43_plus'] = round(
100 * (float(results42[0]['high']) / float(
department.metrics.structure_counts_by_risk_category.high)
), 2)
if isinstance(drivetimegeomGT41, MultiPolygon):
deptefffarea['drivetimegeom_43_plus'] = drivetimegeomGT41
else:
deptefffarea['drivetimegeom_43_plus'] = MultiPolygon(
drivetimegeomGT41)
addefffdepartment = EffectiveFireFightingForceLevel.objects.create(
**deptefffarea)
print department.name + " EFFF Area Created" + ' at ' + time.strftime(
"%Y-%m-%d %H:%M:%S", time.gmtime())
addefffdepartment.save()
def update_parcel_department_hazard_level(drivetimegeom, department):
"""
Intersect with Parcel layer and update parcel_department_hazard_level table
0-4 minutes
4-6 minutes
6-8 minutes
"""
drivetimegeom0 = arcgis2geojson(drivetimegeom[2]['geometry'])
drivetimegeom4 = arcgis2geojson(drivetimegeom[1]['geometry'])
drivetimegeom6 = arcgis2geojson(drivetimegeom[0]['geometry'])
cursor = connections['nfirs'].cursor()
# TESTGEOM = "SELECT ST_AREA(ST_GeomFromGeoJSON(%(drive_geom)s),false) As area"
QUERY_INTERSECT_FOR_PARCEL_DRIVETIME = """SELECT sum(case when l.risk_category = 'Low' THEN 1 ELSE 0 END) as low,
sum(CASE WHEN l.risk_category = 'Medium' THEN 1 ELSE 0 END) as medium,
sum(CASE WHEN l.risk_category = 'High' THEN 1 ELSE 0 END) high,
sum(CASE WHEN l.risk_category is null THEN 1 ELSE 0 END) as unknown
FROM parcel_risk_category_local l
JOIN (SELECT ST_SetSRID(ST_GeomFromGeoJSON(%(drive_geom)s), 4326) as drive_geom) x
ON drive_geom && l.wkb_geometry
WHERE ST_WITHIN(l.wkb_geometry, drive_geom)
"""
print 'Querying Database for parcels'
cursor.execute(QUERY_INTERSECT_FOR_PARCEL_DRIVETIME,
{'drive_geom': json.dumps(drivetimegeom0)})
results0 = dictfetchall(cursor)
cursor.execute(QUERY_INTERSECT_FOR_PARCEL_DRIVETIME,
{'drive_geom': json.dumps(drivetimegeom4)})
results4 = dictfetchall(cursor)
cursor.execute(QUERY_INTERSECT_FOR_PARCEL_DRIVETIME,
{'drive_geom': json.dumps(drivetimegeom6)})
results6 = dictfetchall(cursor)
# Overwrite/Update service area is already registered
if ParcelDepartmentHazardLevel.objects.filter(department_id=department.id):
existingrecord = ParcelDepartmentHazardLevel.objects.filter(
department_id=department.id)
addhazardlevelfordepartment = existingrecord[0]
addhazardlevelfordepartment.parcelcount_low_0_4 = results0[0]['low']
addhazardlevelfordepartment.parcelcount_low_4_6 = results4[0]['low']
addhazardlevelfordepartment.parcelcount_low_6_8 = results6[0]['low']
addhazardlevelfordepartment.parcelcount_medium_0_4 = results0[0][
'medium']
addhazardlevelfordepartment.parcelcount_medium_4_6 = results4[0][
'medium']
addhazardlevelfordepartment.parcelcount_medium_6_8 = results6[0][
'medium']
addhazardlevelfordepartment.parcelcount_high_0_4 = results0[0]['high']
addhazardlevelfordepartment.parcelcount_high_4_6 = results4[0]['high']
addhazardlevelfordepartment.parcelcount_high_6_8 = results6[0]['high']
addhazardlevelfordepartment.parcelcount_unknown_0_4 = results0[0][
'unknown']
addhazardlevelfordepartment.parcelcount_unknown_4_6 = results4[0][
'unknown']
addhazardlevelfordepartment.parcelcount_unknown_6_8 = results6[0][
'unknown']
if drivetimegeom0['type'] == 'MultiPolygon':
addhazardlevelfordepartment.drivetimegeom_0_4 = GEOSGeometry(
json.dumps(drivetimegeom0))
else:
addhazardlevelfordepartment.drivetimegeom_0_4 = GEOSGeometry(
MultiPolygon(fromstr(str(drivetimegeom0)), ))
if drivetimegeom4['type'] == 'MultiPolygon':
addhazardlevelfordepartment.drivetimegeom_4_6 = GEOSGeometry(
json.dumps(drivetimegeom4))
else:
addhazardlevelfordepartment.drivetimegeom_4_6 = GEOSGeometry(
MultiPolygon(fromstr(str(drivetimegeom4)), ))
if drivetimegeom6['type'] == 'MultiPolygon':
addhazardlevelfordepartment.drivetimegeom_6_8 = GEOSGeometry(
json.dumps(drivetimegeom6))
else:
addhazardlevelfordepartment.drivetimegeom_6_8 = GEOSGeometry(
MultiPolygon(fromstr(str(drivetimegeom6)), ))
print department.name + " Service Area Updated"
else:
deptservicearea = {}
deptservicearea['department'] = department
deptservicearea['parcelcount_low_0_4'] = results0[0]['low']
deptservicearea['parcelcount_low_4_6'] = results4[0]['low']
deptservicearea['parcelcount_low_6_8'] = results6[0]['low']
deptservicearea['parcelcount_medium_0_4'] = results0[0]['medium']
deptservicearea['parcelcount_medium_4_6'] = results4[0]['medium']
deptservicearea['parcelcount_medium_6_8'] = results6[0]['medium']
deptservicearea['parcelcount_high_0_4'] = results0[0]['high']
deptservicearea['parcelcount_high_4_6'] = results4[0]['high']
deptservicearea['parcelcount_high_6_8'] = results6[0]['high']
deptservicearea['parcelcount_unknown_0_4'] = results0[0]['unknown']
deptservicearea['parcelcount_unknown_4_6'] = results4[0]['unknown']
deptservicearea['parcelcount_unknown_6_8'] = results6[0]['unknown']
if drivetimegeom0['type'] == 'MultiPolygon':
deptservicearea['drivetimegeom_0_4'] = GEOSGeometry(
json.dumps(drivetimegeom0))
else:
deptservicearea['drivetimegeom_0_4'] = GEOSGeometry(
MultiPolygon(fromstr(str(drivetimegeom0)), ))
if drivetimegeom4['type'] == 'MultiPolygon':
deptservicearea['drivetimegeom_4_6'] = GEOSGeometry(
json.dumps(drivetimegeom4))
else:
deptservicearea['drivetimegeom_4_6'] = GEOSGeometry(
MultiPolygon(fromstr(str(drivetimegeom4)), ))
if drivetimegeom6['type'] == 'MultiPolygon':
deptservicearea['drivetimegeom_6_8'] = GEOSGeometry(
json.dumps(drivetimegeom6))
else:
deptservicearea['drivetimegeom_6_8'] = GEOSGeometry(
MultiPolygon(fromstr(str(drivetimegeom6)), ))
addhazardlevelfordepartment = ParcelDepartmentHazardLevel.objects.create(
**deptservicearea)
print department.name + " Service Area Created"
addhazardlevelfordepartment.save()
def update_performance_score(id, dry_run=False):
"""
Updates department performance scores.
"""
print "updating performance score for {}".format(id)
try:
cursor = connections['nfirs'].cursor()
fd = FireDepartment.objects.get(id=id)
except (ConnectionDoesNotExist, FireDepartment.DoesNotExist):
return
# Hack to get around inline SQL string execution and argument escaping in a tuple
fds = ["''{}''".format(x) for x in fd.fdids]
RESIDENTIAL_FIRES_BY_FDID_STATE = """
SELECT *
FROM crosstab(
'select COALESCE(y.risk_category, ''N/A'') as risk_category, fire_sprd, count(*)
FROM joint_buildingfires a left join (
SELECT state,
fdid,
inc_date,
inc_no,
exp_no,
geom,
x.parcel_id,
x.risk_category
FROM (select * from joint_incidentaddress a
left join parcel_risk_category_local b using (parcel_id)
) AS x
) AS y using (state, inc_date, exp_no, fdid, inc_no)
where a.state='%(state)s' and a.fdid in ({fds}) and prop_use in (''419'',''429'',''439'',''449'',''459'',''460'',''462'',''464'',''400'')
and fire_sprd is not null and fire_sprd != ''''
group by risk_category, fire_sprd
order by risk_category, fire_sprd ASC')
AS ct(risk_category text, "object_of_origin" bigint, "room_of_origin" bigint, "floor_of_origin" bigint, "building_of_origin" bigint, "beyond" bigint);
""".format(fds=','.join(fds))
cursor.execute(RESIDENTIAL_FIRES_BY_FDID_STATE, {'state': fd.state})
results = dictfetchall(cursor)
all_counts = dict(object_of_origin=0,
room_of_origin=0,
floor_of_origin=0,
building_of_origin=0,
beyond=0)
risk_mapping = {'Low': 1, 'Medium': 2, 'High': 4, 'N/A': 5}
ahs_building_size = ahs_building_areas(fd.fdid, fd.state)
for result in results:
if result.get('risk_category') not in risk_mapping:
continue
dist_model = dist_model_for_hazard_level(result.get('risk_category'))
# Use floor draws based on the LogNormal of the structure type distribution for med/high risk categories
# TODO: Detect support for number_of_floors_draw on risk model vs being explicit on hazard levels used :/
if result.get('risk_category') in ['Medium', 'High']:
rm, _ = fd.firedepartmentriskmodels_set.get_or_create(
level=risk_mapping[result['risk_category']])
if rm.floor_count_coefficients:
pass
# TODO
# dist_model.number_of_floors_draw = LogNormalDraw(*rm.floor_count_coefficients)
counts = dict(object_of_origin=result['object_of_origin'] or 0,
room_of_origin=result['room_of_origin'] or 0,
floor_of_origin=result['floor_of_origin'] or 0,
building_of_origin=result['building_of_origin'] or 0,
beyond=result['beyond'] or 0)
# add current risk category to the all risk category
for key, value in counts.items():
all_counts[key] += value
if ahs_building_size is not None:
counts['building_area_draw'] = ahs_building_size
response_times = response_time_distributions.get('{0}-{1}'.format(
fd.fdid, fd.state))
if response_times:
counts['arrival_time_draw'] = LogNormalDraw(*response_times,
multiplier=60)
record, _ = fd.firedepartmentriskmodels_set.get_or_create(
level=risk_mapping[result['risk_category']])
old_score = record.dist_model_score
try:
dist = dist_model(floor_extent=False, **counts)
record.dist_model_score = dist.gibbs_sample()
record.dist_model_score_fire_count = dist.total_fires
print 'updating fdid: {2} - {3} performance score from: {0} to {1}.'.format(
old_score, record.dist_model_score, fd.id,
HazardLevels(record.level).name)
except (NotEnoughRecords, ZeroDivisionError):
print 'Error updating DIST score: {}.'.format(
traceback.format_exc())
record.dist_model_score = None
if not dry_run:
record.save()
# Clear out scores for missing hazard levels
if not dry_run:
missing_categories = set(risk_mapping.keys()) - set(
map(lambda x: x.get('risk_category'), results))
for r in missing_categories:
print 'clearing {0} level from {1} due to missing categories in aggregation'.format(
r, fd.id)
record, _ = fd.firedepartmentriskmodels_set.get_or_create(
level=risk_mapping[r])
record.dist_model_score = None
record.save()
record, _ = fd.firedepartmentriskmodels_set.get_or_create(
level=HazardLevels.All.value)
old_score = record.dist_model_score
dist_model = dist_model_for_hazard_level('All')
try:
if ahs_building_size is not None:
all_counts['building_area_draw'] = ahs_building_size
response_times = response_time_distributions.get('{0}-{1}'.format(
fd.fdid, fd.state))
if response_times:
all_counts['arrival_time_draw'] = LogNormalDraw(*response_times,
multiplier=60)
dist = dist_model(floor_extent=False, **all_counts)
record.dist_model_score = dist.gibbs_sample()
print 'updating fdid: {2} - {3} performance score from: {0} to {1}.'.format(
old_score, record.dist_model_score, fd.id,
HazardLevels(record.level).name)
except (NotEnoughRecords, ZeroDivisionError):
print 'Error updating DIST score: {}.'.format(traceback.format_exc())
record.dist_model_score = None
if not dry_run:
record.save()
print "...updated performance score for {}".format(id)
