def add_species_to_instance(instance):
from treemap.models import Species
region_codes = instance.itree_region_codes()
if region_codes:
# Add species from all of the instance's i-Tree regions
species_codes = species_codes_for_regions(region_codes)
else:
# Add all species
species_codes = all_species_codes()
# Convert the list to a set for fast lookups
species_code_set = set(species_codes)
# Create and save a Species for each otm_code
# Saving one by one is SLOW. It takes many seconds
# to do the average species list of ~250 items.
# Using bulk_create bypasses auditing but keeps
# speed up.
# TODO: bulk create audit records for species rows
instance_species_list = []
for species_dict in SPECIES:
if species_dict['otm_code'] in species_code_set:
species_dict['instance'] = instance
instance_species_list.append(Species(**species_dict))
Species.objects.bulk_create(instance_species_list)
def add_species_to_instance(instance):
from treemap.models import Species
region_codes = [itr.code for itr in instance.itree_regions()]
if region_codes:
# Add species from all of the instance's i-Tree regions
species_codes = species_codes_for_regions(region_codes)
else:
# Add all species
species_codes = all_species_codes()
# Convert the list to a set for fast lookups
species_code_set = set(species_codes)
# Create and save a Species for each otm_code
# Saving one by one is SLOW. It takes many seconds
# to do the average species list of ~250 items.
# Using bulk_create bypasses auditing but keeps
# speed up.
# TODO: bulk create audit records for species rows
instance_species_list = []
for species_dict in SPECIES:
if species_dict['otm_code'] in species_code_set:
species_dict['instance'] = instance
instance_species_list.append(Species(**species_dict))
Species.objects.bulk_create(instance_species_list)
def add_species_to_instance(instance):
from treemap.models import ITreeRegion, Species
# Create species for all regions that intersect the instance
itree_regions = ITreeRegion.objects.filter(
geometry__intersects=instance.bounds)
eco_region_codes = itree_regions.values_list('code', flat=True)
species_codes = species_codes_for_regions(eco_region_codes)
# If there are no eco regions intersecting the map regions
# default to using all species codes
if not species_codes:
species_codes = all_species_codes()
# Convert the list to a set for fast lookups
species_code_set = set(species_codes)
# Create and save a Species for each otm_code
# Saving one by one is SLOW. It takes many seconds
# to do the average species list of ~250 items.
# Using bulk_create bypasses auditing but keeps
# speed up.
# TODO: bulk create audit records for species rows
instance_species_list = []
for species_dict in SPECIES:
if species_dict['otm_code'] in species_code_set:
species_dict['instance'] = instance
instance_species_list.append(Species(**species_dict))
Species.objects.bulk_create(instance_species_list)
