import cPickle as pickle
import random
import hashlib

def ParamsID(a):
    '''
    Using hash function to build an unique identifier for each dictionary
    '''
    ID = 1
    for x in a.keys():
        ID = ID + int(hashlib.sha256(str(a[x]).encode('utf-8')).hexdigest(), 16)
        ID = ID + int(hashlib.sha256(x.encode('utf-8')).hexdigest(), 16)

    return (ID % 10**10)

def getRandomParams():
    '''
    Returns a dictionary containing all the parameters for a BDT classifier
    '''
    p_lr = [1.0,0.1,0.01,0.001,0.0001]
    p_n = [25,50,100,150,200,250,300,400,500]
    p_max = [2,3,4,5,6,3]
    p_leaves = [1,10,50,100,0.001,0.0001,1,1]

    mydic = {}
    mydic['lr'] = random.choice(p_lr)
    mydic['n'] = random.choice(p_n)
    mydic['max'] = random.choice(p_max)
    mydic['leaves'] = random.choice(p_leaves)

    return mydic

def _run():

    params = getRandomParams()
    ID = ParamsID(params)                                       # Get an unique ID associated to the parameters
    with open('models/params_' + str(ID) + '.pick','w') as f:   # Save the parameters into a file determined by unique ID
        pickle.dump(params,f)

    results = run_algorithm(params)
    save_results(params,ID)

if __name__ == '__main__':
    for x in range(5):          # Runs the algorithm on 5 random sets of parameters
        _run()