# 필요한 라이브러리를 불러옵니다.
import pandas as pd
import urllib
import matplotlib.pyplot as plt
import numpy as np

%matplotlib inline

# url로 데이터 얻어오기
url = "https://raw.githubusercontent.com/thomas-haslwanter/statsintro_python/master/ipynb/Data/data_altman/altman_910.txt"
data = np.genfromtxt(urllib.request.urlopen(url), delimiter=",")

# Sort them into groups, according to column 1
group1 = data[data[:, 1] == 1, 0]
group2 = data[data[:, 1] == 2, 0]
group3 = data[data[:, 1] == 3, 0]

# pandas로 데이터 불러오기
df = pd.DataFrame(data, columns=["value", "treatment"]).set_index("treatment")

# 예시 데이터 시각화 하기
plot_data = [group1, group2, group3]
ax = plt.boxplot(plot_data)
plt.show()

df.head()

df2 = df.reset_index()
df2.head()

from statsmodels.stats.multicomp import pairwise_tukeyhsd

posthoc = pairwise_tukeyhsd(df2["value"], df2["treatment"], alpha=0.05)
print(posthoc)

fig = posthoc.plot_simultaneous()

import sys
import argparse
import requests
from PIL import Image
import glob
import os

API_URL = "https://kapi.kakao.com/v1/vision/face/detect"
# 아래 My Kakao api key, 본인 계정의 API 키로 변경해서 사용하세요.
MYAPP_KEY = "b5f1dde7995c36168402318b69308ef218614"


def detect_face(filename):
    headers = {"Authorization": "KakaoAK {}".format(MYAPP_KEY)}

    try:
        files = {"file": open(filename, "rb")}
        resp = requests.post(API_URL, headers=headers, files=files)
        resp.raise_for_status()
        return resp.json()
    except Exception as e:
        print(str(e))
        sys.exit(0)


def mosaic(filename, detection_result):
    image = Image.open(filename)

    for face in detection_result["result"]["faces"]:
        x = int(face["x"] * image.width)
        w = int(face["w"] * image.width)
        y = int(face["y"] * image.height)
        h = int(face["h"] * image.height)
        box = image.crop((x, y, x + w, y + h))
        # 모자이크 강도를 조절하려면 사이즈를 조절하세요.
        box = box.resize((20, 20), Image.NEAREST).resize((w, h), Image.NEAREST)
        image.paste(box, (x, y, x + w, y + h))
    return image


if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Mosaic all of faces.")
    parser.add_argument(
        "-f",
        "--folder",
        type=str,
        nargs="?",
        default="./.",
        help="image file to hide faces",
        required=True,
    )
    args = parser.parse_args()
    # Make files lists
    files = glob.glob("*.jpg") + glob.glob("*.jpeg") + glob.glob("*.png")
    # make loop
    for i in files:
        head, tail = os.path.split(i)
        try:
            detection_result = detect_face(i)
            image = mosaic(i, detection_result)
            image.save(head + "mosaic_" + tail, "JPEG")
            print("! Add mosaic on : " + tail)
        except RuntimeError:
            print("! Face does not detected on : " + tail)

    print("!!  All process finished  !!")