def run(self, resources, year):
cache_directory = config['cache_directory']
simulation_state = SimulationState()
simulation_state.set_cache_directory(cache_directory)
simulation_state.set_current_time(year)
attribute_cache = AttributeCache()
SessionConfiguration(new_instance=True,
in_storage=AttributeCache())
arguments = {'in_storage':attribute_cache}
gc_set = DatasetFactory().get_dataset('gridcell', package='urbansim',
arguments=arguments)
runs = {
#r'X:\urbansim_cache\run_1713.2007_01_03_11_16':r'(run 1713 - baseline)',
#r'X:\urbansim_cache\run_1714.2007_01_03_11_20':r'(run 1714 - no ugb)',
#r'X:\urbansim_cache\run_1731.2007_01_03_11_16':r'(run 1731 - no build)',
r'X:\urbansim_cache\run_1847.2007_01_15_15_23':r'(run 1847 - no UGB 1/17/2007)',
r'X:\urbansim_cache\run_1848.2007_01_15_15_40':r'(run 1848 - no UGB+1.5xhighway 1/17/2007)',
# r'X:\urbansim_cache\run_1849.2007_01_15_16_09':r'(run 1849 - baseline 1/17/2007)',
r'V:\psrc\run_1850.2007_01_15_17_03':r'(run 1850 - baseline 1/17/2007)',
r'V:\psrc\run_1851.2007_01_15_17_07':r'(run 1851 - no build 1/17/2007)'
}
#baseline = r'X:\urbansim_cache\run_1713.2007_01_03_11_16'
baseline = r'V:\psrc\run_1850.2007_01_15_17_03'
comparison_variables = {'gridcell': ['urbansim.gridcell.population',
'urbansim.gridcell.number_of_jobs'],
'faz':['urbansim.faz.population',
'urbansim.faz.number_of_jobs'],
}
#datasets_to_preload = {
# 'gridcell':{ 'nchunks':2},
# 'household':{},
# 'job':{},
# 'zone':{},
# 'faz':{},
# 'development_type':{},
# 'development_event_history':{},
# 'development_constraint':{},
# 'job_building_type':{},
# 'urbansim_constant':{},
# }
year = 2025
simulation_state = SimulationState()
simulation_state.set_current_time(year)
SessionConfiguration(new_instance=True,
package_order=['psrc','urbansim','opus_core'],
in_storage=AttributeCache())
#cache_storage = AttributeCache().get_flt_storage_for_year(year_for_base_year_cache)
#datasets = DatasetFactory().create_datasets_from_flt(datasets_to_preload,
# "urbansim",
# additional_arguments={'in_storage': AttributeCache()})
variable_augment = False
if variable_augment == True:
for dataset_name in comparison_variables.keys():
cache_directory = baseline
simulation_state.set_cache_directory(cache_directory)
dataset = DatasetFactory().get_dataset(dataset_name,
package='urbansim',
arguments={'in_storage': AttributeCache()})
variables = comparison_variables[dataset_name]
dataset.compute_variables(variables, resources=Resources())
ids = dataset.get_id_attribute()
for run in runs.keys():
cache_directory=run
simulation_state.set_cache_directory(cache_directory)
run_dataset = DatasetFactory().get_dataset(dataset_name,
package='urbansim',
arguments={'in_storage': AttributeCache()})
match_index = run_dataset.get_id_index(ids)
for variable in variables:
short_name = VariableName(variable).alias()
attribute = dataset.get_attribute(short_name)
run_dataset.add_attribute(attribute[match_index],'baseline_'+short_name,metadata=1)
run_dataset.flush_attribute('baseline_'+short_name)
SessionConfiguration().get_dataset_pool().remove_all_datasets()
#indicators_module = args[0]
#eval("from %s import config" % indicators_module)
from make_indicators_openev import config
from urbansim.indicators.indicator_configuration_handler_batch_mode import generate_indicators
#from make_indicators_openev import config
#from inprocess.travis.urbansim.indicators.indicator_configuration_handler_batch_mode import generate_indicators
for run, descriptin in runs.iteritems():
config.request_years = [year]
config.cache_directory = run
config.run_description = descriptin
generate_indicators(config)
cache_directory = baseline
simulation_state.set_cache_directory(cache_directory)
dataset = DatasetFactory().get_dataset(dataset_name,
package='urbansim',
arguments={'in_storage': AttributeCache()})
variables = comparison_variables[dataset_name]
dataset.compute_variables(variables, resources=Resources())
ids = dataset.get_id_attribute()
for run in runs.keys():
cache_directory=run
simulation_state.set_cache_directory(cache_directory)
run_dataset = DatasetFactory().get_dataset(dataset_name,
package='urbansim',
arguments={'in_storage': AttributeCache()})
match_index = run_dataset.get_id_index(ids)
for variable in variables:
short_name = VariableName(variable).alias()
attribute = dataset.get_attribute(short_name)
run_dataset.add_attribute(attribute[match_index],'baseline_'+short_name,metadata=1)
run_dataset.flush_attribute('baseline_'+short_name)
SessionConfiguration().get_dataset_pool().remove_all_datasets()
if options.indicator_config is not None:
opus_path = options.indicator_config
try:
class_name = opus_path.split('.')[-1]
class_name = convert_lower_case_with_underscores_into_camel_case(class_name)
import_stmt = 'from %s import %s as config_class' % (opus_path, class_name)
exec(import_stmt)
cache_directory = baseline
simulation_state.set_cache_directory(cache_directory)
dataset = DatasetFactory().get_dataset(dataset_name,
package='urbansim',
arguments={'in_storage': AttributeCache()})
variables = comparison_variables[dataset_name]
dataset.compute_variables(variables, resources=Resources())
ids = dataset.get_id_attribute()
for run in runs.keys():
cache_directory=run
simulation_state.set_cache_directory(cache_directory)
run_dataset = DatasetFactory().get_dataset(dataset_name,
package='urbansim',
arguments={'in_storage': AttributeCache()})
match_index = run_dataset.get_id_index(ids)
for variable in variables:
short_name = VariableName(variable).alias()
attribute = dataset.get_attribute(short_name)
run_dataset.add_attribute(attribute[match_index],'baseline_'+short_name,metadata=1)
run_dataset.flush_attribute('baseline_'+short_name)
SessionConfiguration().get_dataset_pool().remove_all_datasets()
if options.indicator_config is not None:
opus_path = options.indicator_config
try:
class_name = opus_path.split('.')[-1]
class_name = convert_lower_case_with_underscores_into_camel_case(class_name)
import_stmt = 'from %s import %s as config_class' % (opus_path, class_name)
exec(import_stmt)
def run(self, resources, year):
cache_directory = config['cache_directory']
simulation_state = SimulationState()
simulation_state.set_cache_directory(cache_directory)
simulation_state.set_current_time(year)
attribute_cache = AttributeCache()
SessionConfiguration(new_instance=True, in_storage=AttributeCache())
arguments = {'in_storage': attribute_cache}
gc_set = DatasetFactory().get_dataset('gridcell',
package='urbansim',
arguments=arguments)
runs = {
#r'X:\urbansim_cache\run_1713.2007_01_03_11_16':r'(run 1713 - baseline)',
#r'X:\urbansim_cache\run_1714.2007_01_03_11_20':r'(run 1714 - no ugb)',
#r'X:\urbansim_cache\run_1731.2007_01_03_11_16':r'(run 1731 - no build)',
r'X:\urbansim_cache\run_1847.2007_01_15_15_23':
r'(run 1847 - no UGB 1/17/2007)',
r'X:\urbansim_cache\run_1848.2007_01_15_15_40':
r'(run 1848 - no UGB+1.5xhighway 1/17/2007)',
# r'X:\urbansim_cache\run_1849.2007_01_15_16_09':r'(run 1849 - baseline 1/17/2007)',
r'V:\psrc\run_1850.2007_01_15_17_03':
r'(run 1850 - baseline 1/17/2007)',
r'V:\psrc\run_1851.2007_01_15_17_07':
r'(run 1851 - no build 1/17/2007)'
}
#baseline = r'X:\urbansim_cache\run_1713.2007_01_03_11_16'
baseline = r'V:\psrc\run_1850.2007_01_15_17_03'
comparison_variables = {
'gridcell': [
'urbansim.gridcell.population',
'urbansim.gridcell.number_of_jobs'
],
'faz': ['urbansim.faz.population', 'urbansim.faz.number_of_jobs'],
}
#datasets_to_preload = {
# 'gridcell':{ 'nchunks':2},
# 'household':{},
# 'job':{},
# 'zone':{},
# 'faz':{},
# 'development_type':{},
# 'development_event_history':{},
# 'development_constraint':{},
# 'job_building_type':{},
# 'urbansim_constant':{},
# }
year = 2025
simulation_state = SimulationState()
simulation_state.set_current_time(year)
SessionConfiguration(new_instance=True,
package_order=['psrc', 'urbansim', 'opus_core'],
in_storage=AttributeCache())
#cache_storage = AttributeCache().get_flt_storage_for_year(year_for_base_year_cache)
#datasets = DatasetFactory().create_datasets_from_flt(datasets_to_preload,
# "urbansim",
# additional_arguments={'in_storage': AttributeCache()})
variable_augment = False
if variable_augment == True:
for dataset_name in comparison_variables.keys():
cache_directory = baseline
simulation_state.set_cache_directory(cache_directory)
dataset = DatasetFactory().get_dataset(
dataset_name,
package='urbansim',
arguments={'in_storage': AttributeCache()})
variables = comparison_variables[dataset_name]
dataset.compute_variables(variables, resources=Resources())
ids = dataset.get_id_attribute()
for run in runs.keys():
cache_directory = run
simulation_state.set_cache_directory(cache_directory)
run_dataset = DatasetFactory().get_dataset(
dataset_name,
package='urbansim',
arguments={'in_storage': AttributeCache()})
match_index = run_dataset.get_id_index(ids)
for variable in variables:
short_name = VariableName(variable).alias()
attribute = dataset.get_attribute(short_name)
run_dataset.add_attribute(attribute[match_index],
'baseline_' + short_name,
metadata=1)
run_dataset.flush_attribute('baseline_' + short_name)
SessionConfiguration().get_dataset_pool(
).remove_all_datasets()
#indicators_module = args[0]
#eval("from %s import config" % indicators_module)
from make_indicators_openev import config
from urbansim.indicators.indicator_configuration_handler_batch_mode import generate_indicators
#from make_indicators_openev import config
#from inprocess.travis.urbansim.indicators.indicator_configuration_handler_batch_mode import generate_indicators
for run, descriptin in runs.iteritems():
config.request_years = [year]
config.cache_directory = run
config.run_description = descriptin
generate_indicators(config)
