import multiprocessing
from os import *

from etl.wind_power.min_sec.ClassIdentifier import ClassIdentifier
from utils.draw.draw_file import scatter
from utils.file.trans_methods import read_file_to_df


def draw(file, fengchang='测试'):
    name = path.basename(file).split('.')[0]
    df = read_file_to_df(file)
    del df['lab']
    identifier = ClassIdentifier(wind_turbine_number='test', origin_df=df, rated_power=5000, cut_out_speed=20,
                                 active_power='active_power', wind_velocity='wind_velocity',
                                 pitch_angle_blade='pitch_angle_blade_1')
    df = identifier.run()

    df.loc[df['active_power'] <= 0, 'lab'] = -1

    print(df.groupby('lab').count())
    color_map = {-1: 'red', 0: 'green', 1: 'blue', 2: 'black', 3: 'orange', 4: 'magenta'}
    c = df['lab'].map(color_map)

    # -1:停机 0:好点  1:欠发功率点；2:超发功率点；3:额定风速以上的超发功率点 4: 限电
    legend_map = {"停机": 'red', "好点": 'green', "欠发": 'blue', "超发": 'black', "额定风速以上的超发": 'orange',
                  "限电": 'magenta'}
    scatter(name, x_label='风速', y_label='有功功率', x_values=df['wind_velocity'].values,
            y_values=df['active_power'].values, color=c, col_map=legend_map,
            save_file_path=path.dirname(
                path.dirname(__file__)) + sep + "tmp" + sep + str(fengchang) + sep + name + '结果.png')


if __name__ == '__main__':
    read_dir = r"D:\data\logs\matlib-test"

    files = [read_dir + sep + i for i in listdir(read_dir)]

    if len(files) == 1:
        draw(files[0], "和风元宝山4")
    else:
        with multiprocessing.Pool(4) as pool:
            pool.starmap(draw, [(file, "和风元宝山4") for file in files])