'af_taux_modulation': allMonths,
'prestations_familiales_base_ressources': allMonths,
}
calculs = {
'af': allMonths,
}
import experiment_af
import situations
situation = utils.merge(utils.prefix('7618153', situations.situation_7618153),
utils.prefix('6771069', situations.situation_6771069))
simulation_actuelle = Simulation(tax_benefit_system=tax_benefit_system,
simulation_json=situation)
checkPeriod = "2018-07"
for calcul, periods in calculs.iteritems():
ids = simulation_actuelle.get_variable_entity(calcul).ids
for period in periods:
data = simulation_actuelle.calculate(calcul, period)
result = dict(zip(ids, data))
for mid, value in result.iteritems():
print(mid, value, value * 0.995)
# source = situation["familles"][mid]["af"][checkPeriod]
# if abs(source - value)>1:
# print (mid, source, value)
from pprint import pprint
#pprint(situation)
'rennes_metropole_transport': allMonths,
'brest_metropole_transport': allMonths,
'alfortville_noel_enfants': allMonths,
}
calculs = {
'af': allMonths,
'aide_logement': allMonths,
'rsa': allMonths,
'ppa': allMonths,
}
import pandas as pd
results = pd.DataFrame()
log.info('Simulation')
simulation_actuelle = Simulation(tax_benefit_system=tax_benefit_system,
simulation_json=situations)
results['ids'] = simulation_actuelle.get_variable_entity('af').ids
log.info('calculate')
for calcul, periods in calculs.iteritems():
for period in periods:
data = simulation_actuelle.calculate(calcul, period)
results[calcul] = data
log.info('save')
results.to_csv('file.csv', index=False)
log.info('end')