from .._utils.config_info import ConfigInfo

def main(config:dict) -> list:
    
    config_info = ConfigInfo(config)
    constrains_range = config_info.get_property('constrains_range',default=None)
    constrains_dyn   = config_info.get_property('constrains_dyn',default=None)
    constrains_fml   = config_info.get_property('constrains',default=None)
    
    all_constrains = []
    all_constrains += get_range_constrains(constrains_range)
    all_constrains += get_dyn_change_constrains(constrains_dyn)
    all_constrains += get_formula_constrains(constrains_fml)
    
    print('-'*20+'约束条件'+'-'*20)
    for idx,constrains in enumerate(all_constrains):
        print('-'*20+ str(idx) +'-'*20)
        print(constrains)

    return all_constrains

def get_range_constrains(range_constrains:list):
    constrains = []
    
    if range_constrains is None:
        return constrains
    
    for obj_var in range_constrains:
        var_name_raw = obj_var['var_name']
        var_name = '{' + var_name_raw + '}'
        
        ub = obj_var.get('ub')
        lb = obj_var.get('lb')
        
        if ub is not None and ub != '':
            constrains.append(f'#表单边界性约束# {var_name}-({ub})<0')
        if lb is not None and lb != '':
            constrains.append(f'#表单边界性约束# ({lb})-{var_name}<0')
        
    return constrains

def get_dyn_change_constrains(config):
    
    # （以下变化是指优化前后的变化）
    # 目标变量 变化值  d_p 
    # 目标状态 值      S   (0/1)
    # 环境状态 变化值  d_S (0/1)
    
    # 当环境点位出现变化时，允许目标点位有大范围的变化（c_w），否则只允许小范围变化（c_n）
    # d_S * ( c_w - c_n ) + c_n  < d_p < d_S * ( c_w - c_n ) + c_n
    
    # 当目标点位状态为0时，允许目标点位有最大范围的变化，从而减小约束对于可行解数量的负面影响
    # D_s = d_S + ( 1 - S ) * 100
    # D_s * ( c_w - c_n ) + c_n  < d_p < D_s * ( c_w - c_n ) + c_n
    
    
    
    return []

def get_formula_constrains(constrains_fml:list):
    constrains = []
    if constrains_fml is None:
        return constrains
    
    constrains = [cst['constrain'] for cst in constrains_fml if cst is not None]
    
    return constrains