from os.path import exists from PIL import Image, ImageMath from io import BytesIO import json import os import time import httpx import asyncio LABEL_URL = 'https://api-static.mihoyo.com/common/blackboard/ys_obc/v1/map/label/tree?app_sn=ys_obc' POINT_LIST_URL = 'https://api-static.mihoyo.com/common/blackboard/ys_obc/v1/map/point/list?map_id=2&app_sn=ys_obc' 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" header = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 Safari/537.36' FILE_PATH = "assets" MAP_PATH = os.path.join(FILE_PATH, "icon", "map_icon.jpg") Image.MAX_IMAGE_PIXELS = None CENTER = None MAP_ICON = None zoom = 0.5 resource_icon_offset = (-int(150 * 0.5 * zoom), -int(150 * zoom)) data = { "all_resource_type": { # 这个字典保存所有资源类型， # "1": { # "id": 1, # "name": "传送点", # "icon": "", # "parent_id": 0, # "depth": 1, # "node_type": 1, # "jump_type": 0, # "jump_target_id": 0, # "display_priority": 0, # "children": [] # }, }, "can_query_type_list": { # 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 # 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 # "七天神像":"2" # "风神瞳":"5" }, "all_resource_point_list": [ # 这个列表保存所有资源点的数据 # { # "id": 2740, # "label_id": 68, # "x_pos": -1789, # "y_pos": 2628, # "author_name": "✟紫灵心✟", # "ctime": "2020-10-29 10:41:21", # "display_state": 1 # }, ], "date": "" # 记录上次更新"all_resource_point_list"的日期 } async def download_icon(url): # 下载图片，返回Image对象 async with httpx.AsyncClient() as client: resp = await client.get(url=url) if resp.status_code != 200: raise ValueError(f"获取图片数据失败，错误代码 {resp.status_code}") icon = resp.content return Image.open(BytesIO(icon)) async def download_json(url): # 获取资源数据，返回 JSON if url == POINT_LIST_URL: if exists(f"assets{os.sep}data{os.sep}list.json"): with open(f"assets{os.sep}data{os.sep}list.json", "rb") as f: return json.loads(f.read()) async with httpx.AsyncClient() as client: resp = await client.get(url=url) if resp.status_code != 200: raise ValueError(f"获取资源点数据失败，错误代码 {resp.status_code}") return resp.json() async def up_icon_image(sublist): # 检查是否有图标，没有图标下载保存到本地 id = sublist["id"] icon_path = os.path.join(FILE_PATH, "icon", f"{id}.png") if not os.path.exists(icon_path): icon_url = sublist["icon"] icon = await download_icon(icon_url) icon = icon.resize((150, 150)) box_alpha = Image.open(os.path.join(FILE_PATH, "icon", "box_alpha.png")).getchannel("A") box = Image.open(os.path.join(FILE_PATH, "icon", "box.png")) try: icon_alpha = icon.getchannel("A") icon_alpha = ImageMath.eval("convert(a*b/256, 'L')", a=icon_alpha, b=box_alpha) except ValueError: # 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 icon_alpha = box_alpha icon2 = Image.new("RGBA", (150, 150), "#00000000") icon2.paste(icon, (0, -10)) bg = Image.new("RGBA", (150, 150), "#00000000") bg.paste(icon2, mask=icon_alpha) bg.paste(box, mask=box) with open(icon_path, "wb") as icon_file: bg.save(icon_file) async def up_label_and_point_list(): # 更新label列表和资源点列表 label_data = await download_json(LABEL_URL) for label in label_data["data"]["tree"]: data["all_resource_type"][str(label["id"])] = label for sublist in label["children"]: data["all_resource_type"][str(sublist["id"])] = sublist data["can_query_type_list"][sublist["name"]] = str(sublist["id"]) await up_icon_image(sublist) label["children"] = [] test = await download_json(POINT_LIST_URL) data["all_resource_point_list"] = test["data"]["point_list"] data["date"] = time.strftime("%d") async def up_map(): # 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 # 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 global CENTER global MAP_ICON map_info = await download_json(MAP_URL) map_info = map_info["data"]["info"]["detail"] map_info = json.loads(map_info) map_url_list = map_info['slices'][0] origin = map_info["origin"] x_start = map_info['total_size'][1] y_start = map_info['total_size'][1] x_end = 0 y_end = 0 for resource_point in data["all_resource_point_list"]: x_pos = resource_point["x_pos"] + origin[0] y_pos = resource_point["y_pos"] + origin[1] x_start = min(x_start, x_pos) y_start = min(y_start, y_pos) x_end = max(x_end, x_pos) y_end = max(y_end, y_pos) x_start -= 200 y_start -= 200 x_end += 200 y_end += 200 CENTER = [origin[0] - x_start, origin[1] - y_start] x = int(x_end - x_start) y = int(y_end - y_start) MAP_ICON = Image.new("RGB", (x, y)) x_offset = 0 for i in map_url_list: map_url = i["url"] map_icon = await download_icon(map_url) MAP_ICON.paste(map_icon, (int(-x_start) + x_offset, int(-y_start))) x_offset += map_icon.size[0] async def init_point_list_and_map(): await up_label_and_point_list() await up_map() class Resource_map(object): def __init__(self, resource_name): self.resource_id = str(data["can_query_type_list"][resource_name]) # self.map_image = Image.open(MAP_PATH) self.map_image = MAP_ICON.copy() self.map_size = self.map_image.size # 地图要要裁切的左上角和右下角坐标 # 这里初始化为地图的大小 self.x_start = self.map_size[0] self.y_start = self.map_size[1] self.x_end = 0 self.y_end = 0 self.resource_icon = Image.open(self.get_icon_path()) self.resource_icon = self.resource_icon.resize((int(150 * zoom), int(150 * zoom))) self.resource_xy_list = self.get_resource_point_list() def get_icon_path(self): # 检查有没有图标，有返回正确图标，没有返回默认图标 icon_path = os.path.join(FILE_PATH, "icon", f"{self.resource_id}.png") if os.path.exists(icon_path): return icon_path else: return os.path.join(FILE_PATH, "icon", "0.png") def get_resource_point_list(self): temp_list = [] for resource_point in data["all_resource_point_list"]: if str(resource_point["label_id"]) == self.resource_id: # 获取xy坐标，然后加上中心点的坐标完成坐标转换 x = resource_point["x_pos"] + CENTER[0] y = resource_point["y_pos"] + CENTER[1] temp_list.append((int(x), int(y))) return temp_list def paste(self): for x, y in self.resource_xy_list: # 把资源图片贴到地图上 # 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 x -= self.x_start y -= self.y_start self.map_image.paste(self.resource_icon, (x + resource_icon_offset[0], y + resource_icon_offset[1]), self.resource_icon) def crop(self): # 把大地图裁切到只保留资源图标位置 for x, y in self.resource_xy_list: # 找出4个方向最远的坐标，用于后边裁切 self.x_start = min(x, self.x_start) self.y_start = min(y, self.y_start) self.x_end = max(x, self.x_end) self.y_end = max(y, self.y_end) # 先把4个方向扩展150像素防止把资源图标裁掉 self.x_start -= 150 self.y_start -= 150 self.x_end += 150 self.y_end += 150 # 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 if (self.x_end - self.x_start) < 1000: center = int((self.x_end + self.x_start) / 2) self.x_start = center - 500 self.x_end = center + 500 if (self.y_end - self.y_start) < 1000: center = int((self.y_end + self.y_start) / 2) self.y_start = center - 500 self.y_end = center + 500 self.map_image = self.map_image.crop((self.x_start, self.y_start, self.x_end, self.y_end)) def gen_jpg(self): if not self.resource_xy_list: return "没有这个资源的信息" self.crop() self.paste() self.map_image.save(f'temp{os.sep}map.jpg', format='JPEG') def get_resource_count(self): return len(self.resource_xy_list) async def get_resource_map_mes(name): if data["date"] != time.strftime("%d"): await init_point_list_and_map() if not (name in data["can_query_type_list"]): return f"没有 {name} 这种资源。\n发送 资源列表 查看所有资源名称" map = Resource_map(name) count = map.get_resource_count() if not count: return f"没有找到 {name} 资源的位置，可能米游社wiki还没更新。" map.gen_jpg() mes = f"资源 {name} 的位置如图所示" mes += f"\n\n※ {name} 一共找到 {count} 个位置点\n※ 数据来源于米游社wiki" return mes def get_resource_list_mes(): temp = {} for id in data["all_resource_type"].keys(): # 先找1级目录 if data["all_resource_type"][id]["depth"] == 1: temp[id] = [] for id in data["all_resource_type"].keys(): # 再找2级目录 if data["all_resource_type"][id]["depth"] == 2: temp[str(data["all_resource_type"][id]["parent_id"])].append(id) mes = "当前资源列表如下：\n" for resource_type_id in temp.keys(): if resource_type_id in ["1", "12", "50", "51", "95", "131"]: # 在游戏里能查到的数据这里就不列举了，不然消息太长了 continue mes += f"{data['all_resource_type'][resource_type_id]['name']}：" for resource_id in temp[resource_type_id]: mes += f"{data['all_resource_type'][resource_id]['name']}，" mes += "\n" return mes