load_and_run([
normalize_demand_point_table,
normalize_connection_type_table,
normalize_grid_mv_transformer_table,
normalize_diesel_mini_grid_generator_table,
normalize_solar_home_panel_table,
normalize_solar_mini_grid_panel_table,
normalize_grid_mv_line_geotable,
], [
estimate_population,
estimate_population_profile,
estimate_consumption_from_connection_type,
estimate_consumption_profile,
estimate_peak_demand,
estimate_internal_cost_by_technology,
estimate_grid_mv_line_discounted_cost_per_meter,
estimate_grid_mv_line_budget,
assemble_total_grid_mv_line_network,
sequence_total_grid_mv_line_network,
estimate_external_cost_by_technology,
estimate_cost_profile,
pick_proposed_technology,
estimate_proposed_cost_per_connection,
estimate_total_count_by_technology,
estimate_total_discounted_cost_by_technology,
estimate_total_levelized_cost_by_technology,
save_total_points,
save_total_lines,
save_total_report_by_location,
save_total_summary_by_technology,
save_total_summary_by_location,
save_total_summary_by_grid_mv_line,
save_total_map,
# save_total_graph,
wash_total_folder,
], x.parse_args().__dict__, FULL_KEYS)
from infrastructure_planning.macros import BasicArgumentParser, load_and_run
from infrastructure_planning.preprocessors import normalize_demand_point_table
from infrastructure_planning.demography.exponential import estimate_population
def add_arguments_for_estimate_population(x):
x.add("demand_point_table_path")
x.add("population_year")
x.add("population_growth_as_percent_of_population_per_year")
x.add("financing_year")
x.add("time_horizon_in_years")
if __name__ == "__main__":
x = BasicArgumentParser()
add_arguments_for_estimate_population(x)
load_and_run([normalize_demand_point_table], [estimate_population], x)
