import cv2
import json
from pathlib import Path

'''
This is a tool for cropping one image into several images based on current roi.
Use this tool when a raw image contains many templates.
For example, when adding a new homepage theme.
Put one picture in ./src and add the template's tasks to 'task_list',
This tools will try to read roi (if not 'roi_crop_doc') from tasks in tasks.json and then crop the image.
'''

std_width: int = 1280
std_height: int = 720
std_ratio = std_width / std_height

task_paths = {
    "CN": Path("../../resource/tasks.json"),
    "twxy": Path("../../resource/global/txwy/resource/tasks.json"),
    "YoStarEN": Path("../../resource/global/YoStarEN/resource/tasks.json"),
    "YoStarJP": Path("../../resource/global/YoStarJP/resource/tasks.json"),
    "YoStarKR": Path("../../resource/global/YoStarKR/resource/tasks.json"),
}

# Change this to your client
task_file = task_paths["CN"]

# Add the tasks you want to get its image
task_list = []
# You should get these names from tasks.json
#
# For example, when adding a new homepage theme:
task_list = [
    "Award",
    "GachaEnter",
    "Home",
    "Infrast",
    "OperBoxEnter",
    "Recruit",
    "Visit"
]

with task_file.open("r", encoding="utf-8") as f:
    tasks = json.load(f)

src_path = Path("./src")
dst_path = Path("./dst")

for raw_image in src_path.glob("*.png"):

    print("Processing file:", str(raw_image))

    image = cv2.imread(str(raw_image))
    cur_ratio = image.shape[1] / image.shape[0]
    if cur_ratio >= std_ratio:  # 说明是宽屏或默认16:9，按照高度计算缩放
        dsize_width: int = (int)(cur_ratio * std_height)
        dsize_height: int = std_height
    else:                       # 否则可能是偏正方形的屏幕，按宽度计算
        dsize_width: int = std_width
        dsize_height: int = std_width / cur_ratio
    dsize = (dsize_width, dsize_height)
    image = cv2.resize(image, dsize, interpolation=cv2.INTER_AREA)

    for i in task_list:
        if type(tasks[i]["template"]) == str:
            filename = tasks[i]["template"]
        elif type(tasks[i]["template"]) == list:
            # this is for multi-template:
            filename = tasks[i]["template"][0].split(".")[0] + raw_image.stem + ".png"
        try:
            roi = tasks[i]["roi_crop_doc"]
        except KeyError:
            roi = tasks[i]["roi"]
        cropped = image[roi[1]:roi[1]+roi[3], roi[0]:roi[0]+roi[2]]

        print("Saving", dst_path / filename)
        cv2.imwrite(str(dst_path / filename), cropped)

    print("Finished processing file:", str(raw_image))