import os import csv import json import glob from flask import Flask, render_template, jsonify, request, send_from_directory app = Flask(__name__) # --- 配置路径 --- BASE_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../")) ASSETS_DIR = os.path.join(BASE_DIR, "assets") CONFIG_DIR = os.path.join(BASE_DIR, "static", "game_configs") OUTPUT_DIR = os.path.dirname(__file__) # 地图尺寸 MAP_WIDTH = 70 MAP_HEIGHT = 50 @app.route('/') def index(): return render_template('index.html') @app.route('/tiles/') def serve_tile_image(filename): return send_from_directory(os.path.join(ASSETS_DIR, "tiles"), filename) @app.route('/sects/') def serve_sect_image(filename): return send_from_directory(os.path.join(ASSETS_DIR, "sects"), filename) @app.route('/cities/') def serve_city_image(filename): return send_from_directory(os.path.join(ASSETS_DIR, "cities"), filename) # 显式定义的区域-地形映射表 # Key: 区域名称, Value: {"t": tile_name, "type": "tile" | "sect" | "city"} REGION_TILE_MAP = { # --- 普通区域 (Normal Regions) --- "平原地带": {"t": "plain", "type": "tile"}, "西域流沙": {"t": "desert", "type": "tile"}, "南疆蛮荒": {"t": "rainforest", "type": "tile"}, "极北冰原": {"t": "glacier", "type": "tile"}, "无边碧海": {"t": "sea", "type": "tile"}, "天河奔流": {"t": "water", "type": "tile"}, "青峰山脉": {"t": "mountain", "type": "tile"}, "万丈雪峰": {"t": "snow_mountain", "type": "tile"}, "碧野千里": {"t": "grassland", "type": "tile"}, "青云林海": {"t": "forest", "type": "tile"}, "炎狱火山": {"t": "volcano", "type": "tile"}, "沃土良田": {"t": "farm", "type": "tile"}, "幽冥毒泽": {"t": "swamp", "type": "tile"}, "十万大山": {"t": "mountain", "type": "tile"}, "紫竹幽境": {"t": "bamboo", "type": "tile"}, "凛霜荒原": {"t": "tundra", "type": "tile"}, "碎星戈壁": {"t": "gobi", "type": "tile"}, "蓬莱遗岛": {"t": "island", "type": "tile"}, # --- 城市区域 (City Regions) --- "青云城": {"t": "青云城", "type": "city"}, "沙月城": {"t": "沙月城", "type": "city"}, "翠林城": {"t": "翠林城", "type": "city"}, "揽月城": {"t": "揽月城", "type": "city"}, "沧澜城": {"t": "沧澜城", "type": "city"}, # --- 洞府遗迹 (Cultivate Regions) --- "太白金府": {"t": "cave", "type": "tile"}, "青木洞天": {"t": "cave", "type": "tile"}, "玄水秘境": {"t": "cave", "type": "tile"}, "离火洞府": {"t": "cave", "type": "tile"}, "厚土玄宫": {"t": "cave", "type": "tile"}, "古越遗迹": {"t": "ruin", "type": "tile"}, "沧海遗迹": {"t": "ruin", "type": "tile"}, } def get_default_tile(name, type_tag, all_tiles, all_sect_tiles, all_city_tiles): """根据区域名称和类型查找默认 Tile""" # 1. 查表 (精确匹配) if name in REGION_TILE_MAP: return REGION_TILE_MAP[name] # 2. 宗门：尝试匹配 Sect 图片 if type_tag == 'sect': # 尝试直接匹配宗门名 if name in all_sect_tiles: return {"t": name, "type": "sect"} # 尝试部分匹配 for t in all_sect_tiles: if t in name or name in t: return {"t": t, "type": "sect"} return {"t": "mountain", "type": "tile"} # 默认建在山上 # 3. 城市 if type_tag == 'city': if name in all_city_tiles: return {"t": name, "type": "city"} return {"t": "city", "type": "tile"} # 4. 包含特定关键词的兜底逻辑 (针对未在表中的新区域) name_lower = name.lower() if '洞' in name_lower or '府' in name_lower or '秘境' in name_lower: return {"t": "cave", "type": "tile"} if '遗迹' in name_lower: return {"t": "ruin", "type": "tile"} # 默认 return {"t": "plain", "type": "tile"} @app.route('/api/init') def init_data(): """初始化数据：读取Tiles列表和Region配置""" # 1. 获取所有 Tile 图片名称 tile_files = glob.glob(os.path.join(ASSETS_DIR, "tiles", "*.png")) # 过滤切片 (name_0.png) tiles = [os.path.splitext(os.path.basename(f))[0] for f in tile_files if not os.path.splitext(os.path.basename(f))[0][-2:] in ['_0', '_1', '_2', '_3']] tiles.sort() # 2. 获取所有 Sect 图片名称 sect_files = glob.glob(os.path.join(ASSETS_DIR, "sects", "*.png")) sect_tiles = [os.path.splitext(os.path.basename(f))[0] for f in sect_files if not os.path.splitext(os.path.basename(f))[0][-2:] in ['_0', '_1', '_2', '_3']] sect_tiles.sort() # 3. 获取所有 City 图片名称 (保留扩展名映射) city_files = glob.glob(os.path.join(ASSETS_DIR, "cities", "*.*")) # 过滤非图片 city_files = [f for f in city_files if f.lower().endswith(('.png', '.jpg', '.jpeg'))] city_tiles_map = {} # name -> filename city_tiles = [] for f in city_files: name = os.path.splitext(os.path.basename(f))[0] if name[-2:] in ['_0', '_1', '_2', '_3']: continue filename = os.path.basename(f) city_tiles.append(name) city_tiles_map[name] = filename city_tiles.sort() # 4. 读取 sect.csv 建立 sect_id -> sect_name 映射 sect_id_to_name = {} sect_csv_path = os.path.join(CONFIG_DIR, "sect.csv") if os.path.exists(sect_csv_path): with open(sect_csv_path, 'r', encoding='utf-8-sig') as f: reader = csv.reader(f) rows = list(reader) data_rows = rows[2:] if len(rows) > 2 else [] for row in data_rows: if len(row) >= 2: try: sid = int(row[0]) sname = row[1] sect_id_to_name[sid] = sname except ValueError: continue # 5. 读取 Region 配置 regions = [] def parse_csv(filename, id_col, name_col, type_tag, sect_id_col=None): path = os.path.join(CONFIG_DIR, filename) if not os.path.exists(path): print(f"Warning: {path} not found") return with open(path, 'r', encoding='utf-8-sig') as f: reader = csv.reader(f) rows = list(reader) # 跳过前两行 (header 和 description) data_rows = rows[2:] if len(rows) > 2 else [] for row in data_rows: if len(row) <= max(id_col, name_col): continue try: r_id = int(row[id_col]) name = row[name_col] # 简单的 hash 颜色生成 color_hash = hash(f"{type_tag}_{r_id}") & 0xFFFFFF color = f"#{color_hash:06x}" # 对于 sect 类型，使用 sect_id 查找对应的宗门名称 bind_name = name if type_tag == 'sect' and sect_id_col is not None and len(row) > sect_id_col: try: sid = int(row[sect_id_col]) bind_name = sect_id_to_name.get(sid, name) except ValueError: pass # 计算默认绑定 Tile bind_info = get_default_tile(bind_name, type_tag, tiles, sect_tiles, city_tiles) regions.append({ "id": r_id, "name": name, "type": type_tag, "color": color, "bindTile": bind_info["t"], "bindTileType": bind_info["type"] }) except ValueError: continue # 读取四种配置 # normal_region.csv: id=0, name=1 parse_csv("normal_region.csv", 0, 1, "normal") # sect_region.csv: id=0, name=1, sect_id=3 parse_csv("sect_region.csv", 0, 1, "sect", sect_id_col=3) # cultivate_region.csv: id=0, name=1 parse_csv("cultivate_region.csv", 0, 1, "cultivate") # city_region.csv: id=0, name=1 parse_csv("city_region.csv", 0, 1, "city") # 排序优先级：normal > sect > cultivate > city > 其他 def sort_priority(r): if r['type'] == 'normal': return 0 if r['type'] == 'sect': return 1 if r['type'] == 'cultivate': return 2 if r['type'] == 'city': return 3 return 4 regions.sort(key=lambda x: (sort_priority(x), x['id'])) # 3. 尝试读取现有的地图数据 saved_map = load_map_data() return jsonify({ "width": MAP_WIDTH, "height": MAP_HEIGHT, "tiles": tiles, "sectTiles": sect_tiles, "cityTiles": city_tiles, "cityTilesMap": city_tiles_map, "regions": regions, "savedMap": saved_map }) @app.route('/api/save', methods=['POST']) def save_map(): data = request.json grid = data.get('grid', []) # list of {x, y, t, r} tile_csv_path = os.path.join(OUTPUT_DIR, "tile_map.csv") region_csv_path = os.path.join(OUTPUT_DIR, "region_map.csv") try: # 初始化二维数组 (Matrix) # MAP_HEIGHT 行, MAP_WIDTH 列 tile_matrix = [["plain" for _ in range(MAP_WIDTH)] for _ in range(MAP_HEIGHT)] region_matrix = [[-1 for _ in range(MAP_WIDTH)] for _ in range(MAP_HEIGHT)] # 填充数据 for cell in grid: x, y = cell['x'], cell['y'] if 0 <= x < MAP_WIDTH and 0 <= y < MAP_HEIGHT: tile_matrix[y][x] = cell['t'] if cell.get('r') is not None: region_matrix[y][x] = cell['r'] # 保存 Tile Map (矩阵形式) with open(tile_csv_path, 'w', newline='', encoding='utf-8') as f: writer = csv.writer(f) writer.writerows(tile_matrix) # 保存 Region Map (矩阵形式) with open(region_csv_path, 'w', newline='', encoding='utf-8') as f: writer = csv.writer(f) writer.writerows(region_matrix) return jsonify({"status": "success", "message": "Map saved successfully (Matrix Format)"}) except Exception as e: return jsonify({"status": "error", "message": str(e)}), 500 def load_map_data(): """读取矩阵格式 CSV 并重建 Grid 状态""" tile_csv_path = os.path.join(OUTPUT_DIR, "tile_map.csv") region_csv_path = os.path.join(OUTPUT_DIR, "region_map.csv") loaded_data = {} # key: "x,y", value: {t: ..., r: ...} # 读取 Tile Matrix if os.path.exists(tile_csv_path): with open(tile_csv_path, 'r', encoding='utf-8') as f: reader = csv.reader(f) for y, row in enumerate(reader): if y >= MAP_HEIGHT: break for x, val in enumerate(row): if x >= MAP_WIDTH: break key = f"{x},{y}" loaded_data[key] = {"t": val} # 读取 Region Matrix if os.path.exists(region_csv_path): with open(region_csv_path, 'r', encoding='utf-8') as f: reader = csv.reader(f) for y, row in enumerate(reader): if y >= MAP_HEIGHT: break for x, val in enumerate(row): if x >= MAP_WIDTH: break try: rid = int(val) if rid != -1: key = f"{x},{y}" if key not in loaded_data: loaded_data[key] = {"t": "plain"} # 默认 loaded_data[key]["r"] = rid except ValueError: continue return loaded_data if __name__ == '__main__': print(f"Starting Map Creator at http://127.0.0.1:5000") print(f"Assets Dir: {ASSETS_DIR}") app.run(debug=True, port=5000)