import os.path

import cv2
from flask import Flask, request

from paddle_detection import detector
from util import image_util
from util.common_util import process_request

app = Flask(__name__)


@app.route('/det/books', methods=['POST'])
@process_request
def books():
    img_path = request.form.get('img_path')
    image = cv2.imread(img_path)
    result = detector.get_book_areas(image)

    dirname, img_name, ext = image_util.parse_path(img_path)
    books_path = []
    for i in range(len(result)):
        save_path = os.path.join(dirname, img_name + '_book_' + str(i) + '.' + ext)
        cv2.imwrite(save_path, result[i])
        books_path.append(save_path)
    return books_path


if __name__ == '__main__':
    app.run('0.0.0.0', 5000)