# -*- coding: utf-8 -*-
import os
import numpy as np
import cv2
import matplotlib.pyplot as plt
import crop_images
import imgproc
import matplotlib.pyplot as plt


# borrowed from https://github.com/lengstrom/fast-style-transfer/blob/master/src/utils.py
def get_files(img_dir):
    imgs, masks, xmls = list_files(img_dir)
    return imgs, masks, xmls


def list_files(in_path):
    img_files = []
    mask_files = []
    gt_files = []
    for (dirpath, dirnames, filenames) in os.walk(in_path):
        for file in filenames:
            filename, ext = os.path.splitext(file)
            ext = str.lower(ext)
            if ext == '.jpg' or ext == '.jpeg' or ext == '.gif' or ext == '.png' or ext == '.pgm':
                img_files.append(os.path.join(dirpath, file))
            elif ext == '.bmp':
                mask_files.append(os.path.join(dirpath, file))
            elif ext == '.xml' or ext == '.gt' or ext == '.txt':
                gt_files.append(os.path.join(dirpath, file))
            elif ext == '.zip':
                continue
    # img_files.sort()
    # mask_files.sort()
    # gt_files.sort()
    return img_files, mask_files, gt_files


def saveResult(img_file, img, boxes, dirname='Results', verticals=None, texts=None):
    """ save text detection result one by one
    Args:
        img_file (str): image file name
        img (array): raw image context
        boxes (array): array of result file
            Shape: [num_detections, 4] for BB output / [num_detections, 4] for QUAD output
    Return:
        None
    """

    img = np.array(img)

    # make result file list: tên ảnh và đuôi ảnh
    filename, file_ext = os.path.splitext(os.path.basename(img_file))
    # result directory
    res_file = dirname + "res_" + filename + '.txt'
    res_img_file = dirname + "res_" + filename + '.jpg'

    if not os.path.isdir(dirname):
        os.mkdir(dirname)
    with open(res_file, 'w') as f:
        for i, box in enumerate(boxes):
            poly = np.array(box).astype(np.int32).reshape((-1))
            strResult = ','.join([str(p) for p in poly]) + '\r\n'
            f.write(strResult)
            # bỏ comment đoạn này để có thể bounding box lại b
            poly = poly.reshape(-1, 2)
            # cv2.polylines(img, [poly.reshape((-1, 1, 2))], True, color=(0, 0, 255), thickness=2)
            # ptColor = (0, 255, 255)
            xmin = min(poly[:, 0])
            xmax = max(poly[:, 0])
            ymin = min(poly[:, 1])
            ymax = max(poly[:, 1])
            width = xmax - xmin
            height = ymax - ymin
            # các điểm này từ file txt
            pts = np.array([[xmin, ymax], [xmax, ymax], [xmax, ymin], [xmin, ymin]])

            word = crop_images.crop(pts, img)

            folder = '/'.join(filename.split('/')[:-1])
            # đầu tiên đây là folder cropWord
            dir = 'cropWord/'
            if os.path.isdir(os.path.join(dir + folder)) == False:
                os.makedirs(os.path.join(dir + folder))
            try:
                file_name = os.path.join(dir + filename)
                cv2.imwrite(file_name + str(i) + '.jpg', word)
            except:
                continue

            if verticals is not None:
                if verticals[i]:
                    ptColor = (255, 0, 0)

            if texts is not None:
                font = cv2.FONT_HERSHEY_SIMPLEX
                font_scale = 0.5
                cv2.putText(img, "{}".format(texts[i]), (poly[0][0] + 1, poly[0][1] + 1), font, font_scale, (0, 0, 0),
                            thickness=1)
                cv2.putText(img, "{:.2f}".format(texts[i]), tuple(poly[0]), font, font_scale, (0, 255, 255),
                            thickness=1)

    # Save result image
    # cv2.imwrite(res_img_file, img)