<commit_before>"""
hydraulic network
"""

from __future__ import division
import cea.config
import cea.globalvar
import cea.inputlocator
import cea.technologies.thermal_network.thermal_network_costs
from cea.technologies.thermal_network import thermal_network as thermal_network
from cea.technologies.network_layout.main import network_layout
import cea.technologies.thermal_network.thermal_network_costs as network_costs
import os
import pandas as pd
import numpy as np
import time
import operator
import random

from cea.technologies.thermal_network.thermal_network_costs import calc_network_size

__author__ = "<NAME>"
__copyright__ = "Copyright 2015, Architecture and Building Systems - ETH Zurich"
__credits__ = ["<NAME>", "<NAME>", "<NAME>"]
__license__ = "MIT"
__version__ = "0.1"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
__status__ = "Production"


class Network_info(object):
    """
    Storage of information for the network currently being calculated.
    """

    def __init__(self, locator, config, network_type, gv):
        # sotre key variables
        self.locator = locator
        self.config = config
        self.network_type = network_type
        self.network_name = config.thermal_network_optimization.network_name
        # initialize optimization storage variables and dictionaries
        self.cost_info = ['capex', 'opex', 'total', 'el_network_MWh',
                          'opex_plant', 'opex_pump', 'opex_dis_loads', 'opex_dis_build', 'opex_hex',
                          'capex_chiller', 'capex_CT', 'capex_pump', 'capex_dis_loads', 'capex_dis_build', 'capex_hex',
                          'capex_network', 'network_length_m', 'avg_diam_m']
        self.generation_info = ['individual', 'plant_buildings', 'number_of_plants', 'supplied_loads',
                                'disconnected_buildings', 'has_loops']
        self.cost_storage = None
        self.building_names = None
        self.number_of_buildings_in_district = 0
        self.gv = gv
        self.prices = None
        self.network_features = None
        self.layout = 0
        self.has_loops = None
        self.populations = {}
        self.all_individuals = None
        self.generation_number = 0
        self.plant_building_index = []
        self.disconnected_buildings_index = []
        # list of all possible heating or cooling systems. used to compare which ones are centralized / decentralized
        self.full_heating_systems = ['ahu', 'aru', 'shu', 'ww']
        self.full_cooling_systems = ['ahu', 'aru',
                                     'scu']  # Todo: add 'data', 're' here once the are available disconnectedly


def thermal_network_optimization(config, gv, locator):
    # initialize timer
    start = time.time()
    # synchronize representative week method in network simulation
    with config.ignore_restrictions():
        config.thermal_network.use_representative_week_per_month = (
            config.thermal_network_optimization.use_representative_week_per_month
        )
        # read network type and ensure consistency in network layout and network_info
        network_type = config.thermal_network.network_type
        config.network_layout.network_type = network_type
    if network_type == 'DH':
        raise ValueError('This optimization procedure is not ready for district heating yet!')
    # initialize object
    network_info = Network_info(locator, config, network_type, gv)
    # write buildings names to object
    total_demand = pd.read_csv(locator.get_total_demand())
    network_info.building_names = total_demand.Name.values
    network_info.number_of_buildings_in_district = total_demand.Name.count()
    # write possible plant location sites to object
    if not config.thermal_network_optimization.possible_plant_sites:
        # if there is no input from the config file as to which sites are potential plant locations, set all as possible locations
        config.thermal_network_optimization.possible_plant_sites = network_info.building_names

    # create initial population
    print 'Creating initial population.'<commit_msg>rename NetworkInfo class<commit_after>"""
hydraulic network
"""

from __future__ import division
import cea.config
import cea.globalvar
import cea.inputlocator
import cea.technologies.thermal_network.thermal_network_costs
from cea.technologies.thermal_network import thermal_network as thermal_network
from cea.technologies.network_layout.main import network_layout
import cea.technologies.thermal_network.thermal_network_costs as network_costs
import os
import pandas as pd
import numpy as np
import time
import operator
import random

from cea.technologies.thermal_network.thermal_network_costs import calc_network_size

__author__ = "<NAME>"
__copyright__ = "Copyright 2015, Architecture and Building Systems - ETH Zurich"
__credits__ = ["<NAME>", "<NAME>", "<NAME>"]
__license__ = "MIT"
__version__ = "0.1"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
__status__ = "Production"


class NetworkInfo(object):
    """
    Storage of information for the network currently being calculated.
    """

    def __init__(self, locator, config, network_type, gv):
        # store key variables
        self.locator = locator
        self.config = config
        self.network_type = network_type
        self.network_name = config.thermal_network_optimization.network_name
        # initialize optimization storage variables and dictionaries
        self.cost_info = ['capex', 'opex', 'total', 'el_network_MWh',
                          'opex_plant', 'opex_pump', 'opex_dis_loads', 'opex_dis_build', 'opex_hex',
                          'capex_chiller', 'capex_CT', 'capex_pump', 'capex_dis_loads', 'capex_dis_build', 'capex_hex',
                          'capex_network', 'network_length_m', 'avg_diam_m']
        self.generation_info = ['individual', 'plant_buildings', 'number_of_plants', 'supplied_loads',
                                'disconnected_buildings', 'has_loops']
        self.cost_storage = None
        self.building_names = None
        self.number_of_buildings_in_district = 0
        self.gv = gv
        self.prices = None
        self.network_features = None
        self.layout = 0
        self.has_loops = None
        self.populations = {}
        self.all_individuals = None
        self.generation_number = 0
        self.plant_building_index = []
        self.disconnected_buildings_index = []
        # list of all possible heating or cooling systems. used to compare which ones are centralized / decentralized
        self.full_heating_systems = ['ahu', 'aru', 'shu', 'ww']
        self.full_cooling_systems = ['ahu', 'aru',
                                     'scu']  # Todo: add 'data', 're' here once the are available disconnectedly


def thermal_network_optimization(config, gv, locator):
    # initialize timer
    start = time.time()
    # synchronize representative week method in network simulation
    with config.ignore_restrictions():
        config.thermal_network.use_representative_week_per_month = (
            config.thermal_network_optimization.use_representative_week_per_month
        )
        # read network type and ensure consistency in network layout and network_info
        network_type = config.thermal_network.network_type
        config.network_layout.network_type = network_type
    if network_type == 'DH':
        raise ValueError('This optimization procedure is not ready for district heating yet!')
    # initialize object
    network_info = NetworkInfo(locator, config, network_type, gv)
    # write buildings names to object
    total_demand = pd.read_csv(locator.get_total_demand())
    network_info.building_names = total_demand.Name.values
    network_info.number_of_buildings_in_district = total_demand.Name.count()
    # write possible plant location sites to object
    if not config.thermal_network_optimization.possible_plant_sites:
        # if there is no input from the config file as to which sites are potential plant locations, set all as possible locations
        config.thermal_network_optimization.possible_plant_sites = network_info.building_names

    # create initial population
    print 'Creating initial population.'
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