318 lines
11 KiB
Python
318 lines
11 KiB
Python
from os.path import exists
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from ci import client
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from PIL import Image, ImageMath
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from io import BytesIO
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import json
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import os
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import time
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LABEL_URL = 'https://api-static.mihoyo.com/common/blackboard/ys_obc/v1/map/label/tree?app_sn=ys_obc'
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POINT_LIST_URL = 'https://api-static.mihoyo.com/common/blackboard/ys_obc/v1/map/point/list?map_id=2&app_sn=ys_obc'
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MAP_URL = "https://api-static.mihoyo.com/common/map_user/ys_obc/v1/map/info?map_id=2&app_sn=ys_obc&lang=zh-cn"
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header = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 Safari/537.36'
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FILE_PATH = "assets"
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MAP_PATH = os.path.join(FILE_PATH, "icon", "map_icon.jpg")
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Image.MAX_IMAGE_PIXELS = None
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CENTER = None
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MAP_ICON = None
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zoom = 0.5
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resource_icon_offset = (-int(150 * 0.5 * zoom), -int(150 * zoom))
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data = {
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"all_resource_type": {
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# 这个字典保存所有资源类型，
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# "1": {
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# "id": 1,
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# "name": "传送点",
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# "icon": "",
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# "parent_id": 0,
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# "depth": 1,
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# "node_type": 1,
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# "jump_type": 0,
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# "jump_target_id": 0,
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# "display_priority": 0,
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# "children": []
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# },
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},
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"can_query_type_list": {
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# 这个字典保存所有可以查询的资源类型名称和ID，这个字典只有名称和ID
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# 上边字典里"depth": 2的类型才可以查询，"depth": 1的是1级目录，不能查询
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# "七天神像":"2"
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# "风神瞳":"5"
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},
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"all_resource_point_list": [
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# 这个列表保存所有资源点的数据
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# {
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# "id": 2740,
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# "label_id": 68,
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# "x_pos": -1789,
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# "y_pos": 2628,
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# "author_name": "✟紫灵心✟",
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# "ctime": "2020-10-29 10:41:21",
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# "display_state": 1
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# },
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],
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"date": "" # 记录上次更新"all_resource_point_list"的日期
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}
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async def download_icon(url):
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# 下载图片，返回Image对象
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resp = await client.get(url=url)
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if resp.status_code != 200:
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raise ValueError(f"获取图片数据失败，错误代码 {resp.status_code}")
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icon = resp.content
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return Image.open(BytesIO(icon))
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async def download_json(url):
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# 获取资源数据，返回 JSON
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if url == POINT_LIST_URL:
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if exists(f"assets{os.sep}data{os.sep}list.json"):
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with open(f"assets{os.sep}data{os.sep}list.json", "rb") as f:
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return json.loads(f.read())
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resp = await client.get(url=url)
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if resp.status_code != 200:
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raise ValueError(f"获取资源点数据失败，错误代码 {resp.status_code}")
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return resp.json()
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async def up_icon_image(sublist):
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# 检查是否有图标，没有图标下载保存到本地
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id = sublist["id"]
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icon_path = os.path.join(FILE_PATH, "icon", f"{id}.png")
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if not os.path.exists(icon_path):
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icon_url = sublist["icon"]
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icon = await download_icon(icon_url)
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icon = icon.resize((150, 150))
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box_alpha = Image.open(os.path.join(FILE_PATH, "icon", "box_alpha.png")).getchannel("A")
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box = Image.open(os.path.join(FILE_PATH, "icon", "box.png"))
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try:
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icon_alpha = icon.getchannel("A")
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icon_alpha = ImageMath.eval("convert(a*b/256, 'L')", a=icon_alpha, b=box_alpha)
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except ValueError:
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# 米游社的图有时候会没有alpha导致报错，这时候直接使用box_alpha当做alpha就行
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icon_alpha = box_alpha
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icon2 = Image.new("RGBA", (150, 150), "#00000000")
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icon2.paste(icon, (0, -10))
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bg = Image.new("RGBA", (150, 150), "#00000000")
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bg.paste(icon2, mask=icon_alpha)
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bg.paste(box, mask=box)
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with open(icon_path, "wb") as icon_file:
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bg.save(icon_file)
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async def up_label_and_point_list():
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# 更新label列表和资源点列表
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label_data = await download_json(LABEL_URL)
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for label in label_data["data"]["tree"]:
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data["all_resource_type"][str(label["id"])] = label
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for sublist in label["children"]:
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data["all_resource_type"][str(sublist["id"])] = sublist
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data["can_query_type_list"][sublist["name"]] = str(sublist["id"])
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await up_icon_image(sublist)
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label["children"] = []
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test = await download_json(POINT_LIST_URL)
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data["all_resource_point_list"] = test["data"]["point_list"]
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data["date"] = time.strftime("%d")
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async def up_map():
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# 更新地图文件 并按照资源点的范围自动裁切掉不需要的地方
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# 裁切地图需要最新的资源点位置，所以要先调用 up_label_and_point_list 再更新地图
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global CENTER
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global MAP_ICON
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map_info = await download_json(MAP_URL)
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map_info = map_info["data"]["info"]["detail"]
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map_info = json.loads(map_info)
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map_url_list = map_info['slices'][0]
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origin = map_info["origin"]
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x_start = map_info['total_size'][1]
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y_start = map_info['total_size'][1]
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x_end = 0
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y_end = 0
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for resource_point in data["all_resource_point_list"]:
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x_pos = resource_point["x_pos"] + origin[0]
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y_pos = resource_point["y_pos"] + origin[1]
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x_start = min(x_start, x_pos)
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y_start = min(y_start, y_pos)
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x_end = max(x_end, x_pos)
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y_end = max(y_end, y_pos)
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x_start -= 200
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y_start -= 200
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x_end += 200
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y_end += 200
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CENTER = [origin[0] - x_start, origin[1] - y_start]
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x = int(x_end - x_start)
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y = int(y_end - y_start)
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MAP_ICON = Image.new("RGB", (x, y))
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x_offset = 0
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for i in map_url_list:
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map_url = i["url"]
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map_icon = await download_icon(map_url)
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MAP_ICON.paste(map_icon,
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(int(-x_start) + x_offset, int(-y_start)))
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x_offset += map_icon.size[0]
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async def init_point_list_and_map():
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await up_label_and_point_list()
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await up_map()
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class Resource_map(object):
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def __init__(self, resource_name):
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self.resource_id = str(data["can_query_type_list"][resource_name])
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# self.map_image = Image.open(MAP_PATH)
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self.map_image = MAP_ICON.copy() # noqa
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self.map_size = self.map_image.size
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# 地图要要裁切的左上角和右下角坐标
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# 这里初始化为地图的大小
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self.x_start = self.map_size[0]
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self.y_start = self.map_size[1]
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self.x_end = 0
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self.y_end = 0
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self.resource_icon = Image.open(self.get_icon_path())
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self.resource_icon = self.resource_icon.resize((int(150 * zoom), int(150 * zoom)))
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self.resource_xy_list = self.get_resource_point_list()
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def get_icon_path(self):
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# 检查有没有图标，有返回正确图标，没有返回默认图标
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icon_path = os.path.join(FILE_PATH, "icon", f"{self.resource_id}.png")
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if os.path.exists(icon_path):
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return icon_path
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else:
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return os.path.join(FILE_PATH, "icon", "0.png")
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def get_resource_point_list(self):
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temp_list = []
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for resource_point in data["all_resource_point_list"]:
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if str(resource_point["label_id"]) == self.resource_id:
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# 获取xy坐标，然后加上中心点的坐标完成坐标转换
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x = resource_point["x_pos"] + CENTER[0] # noqa
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y = resource_point["y_pos"] + CENTER[1] # noqa
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temp_list.append((int(x), int(y)))
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return temp_list
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def paste(self):
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for x, y in self.resource_xy_list:
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# 把资源图片贴到地图上
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# 这时地图已经裁切过了，要以裁切后的地图左上角为中心再转换一次坐标
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x -= self.x_start
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y -= self.y_start
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self.map_image.paste(self.resource_icon, (x + resource_icon_offset[0], y + resource_icon_offset[1]),
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self.resource_icon)
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def crop(self):
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# 把大地图裁切到只保留资源图标位置
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for x, y in self.resource_xy_list:
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# 找出4个方向最远的坐标，用于后边裁切
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self.x_start = min(x, self.x_start)
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self.y_start = min(y, self.y_start)
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self.x_end = max(x, self.x_end)
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self.y_end = max(y, self.y_end)
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# 先把4个方向扩展150像素防止把资源图标裁掉
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self.x_start -= 150
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self.y_start -= 150
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self.x_end += 150
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self.y_end += 150
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# 如果图片裁切的太小会看不出资源的位置在哪，检查图片裁切的长和宽看够不够1000，不到1000的按1000裁切
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if (self.x_end - self.x_start) < 1000:
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center = int((self.x_end + self.x_start) / 2)
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self.x_start = center - 500
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self.x_end = center + 500
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if (self.y_end - self.y_start) < 1000:
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center = int((self.y_end + self.y_start) / 2)
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self.y_start = center - 500
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self.y_end = center + 500
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self.map_image = self.map_image.crop((self.x_start, self.y_start, self.x_end, self.y_end))
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def gen_jpg(self):
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if not self.resource_xy_list:
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return "没有这个资源的信息"
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self.crop()
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self.paste()
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self.map_image.save(f'temp{os.sep}map.jpg', format='JPEG')
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def get_resource_count(self):
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return len(self.resource_xy_list)
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async def get_resource_map_mes(name):
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if data["date"] != time.strftime("%d"):
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await init_point_list_and_map()
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if not (name in data["can_query_type_list"]):
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return f"没有 {name} 这种资源。\n发送 资源列表 查看所有资源名称"
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map = Resource_map(name)
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count = map.get_resource_count()
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if not count:
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return f"没有找到 {name} 资源的位置，可能米游社wiki还没更新。"
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map.gen_jpg()
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mes = f"资源 {name} 的位置如图所示"
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mes += f"\n\n※ {name} 一共找到 {count} 个位置点\n※ 数据来源于米游社wiki"
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return mes
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def get_resource_list_mes():
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temp = {}
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for id in data["all_resource_type"].keys():
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# 先找1级目录
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if data["all_resource_type"][id]["depth"] == 1:
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temp[id] = []
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for id in data["all_resource_type"].keys():
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# 再找2级目录
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if data["all_resource_type"][id]["depth"] == 2:
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temp[str(data["all_resource_type"][id]["parent_id"])].append(id)
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mes = "当前资源列表如下：\n"
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for resource_type_id in temp.keys():
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if resource_type_id in ["1", "12", "50", "51", "95", "131"]:
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# 在游戏里能查到的数据这里就不列举了，不然消息太长了
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continue
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mes += f"{data['all_resource_type'][resource_type_id]['name']}："
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for resource_id in temp[resource_type_id]:
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mes += f"{data['all_resource_type'][resource_id]['name']}，"
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mes += "\n"
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return mes
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