From 9260592469b2ce1cb242342c19c51445ee98f714 Mon Sep 17 00:00:00 2001
From: yanjunbo <13008250033@163.com>
Date: Sun, 27 Oct 2024 15:54:40 +0800
Subject: [PATCH] Support loading from cache for `mosstool.map.osm`

---
 data/cad/cad.xlsx                        | Bin 0 -> 79612 bytes
 examples/map_cad2geojson.py              | 187 ++++++++++++++++++++++
 mosstool/map/_map_util/format_checker.py |  40 ++++-
 mosstool/map/builder/builder.py          |   7 +-
 mosstool/map/osm/building.py             | 188 ++++++++++++++---------
 mosstool/map/osm/point_of_interest.py    | 132 +++++++++-------
 mosstool/map/osm/roadnet.py              | 162 +++++++++++--------
 pyproject.toml                           |   2 +-
 8 files changed, 522 insertions(+), 196 deletions(-)
 create mode 100644 data/cad/cad.xlsx
 create mode 100644 examples/map_cad2geojson.py

diff --git a/data/cad/cad.xlsx b/data/cad/cad.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..dc2788f58b4a585b55911ba9140e6c3a9fde1fae
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diff --git a/examples/map_cad2geojson.py b/examples/map_cad2geojson.py
new file mode 100644
index 0000000..8336fa2
--- /dev/null
+++ b/examples/map_cad2geojson.py
@@ -0,0 +1,187 @@
+import logging
+import math
+import os
+from collections import Counter
+from typing import Callable, Dict, List, Set, Optional
+
+import numpy as np
+import pandas as pd
+from scipy.spatial import KDTree
+
+from mosstool.map.builder import Builder
+from mosstool.map.osm import RoadNet
+from mosstool.type import Map
+from mosstool.util.format_converter import dict2pb
+
+
+# The following will outline the brief steps for importing from CAD to xlsx files, using AutoCAD 2025 - 简体中文 (Simplified Chinese) as an example.
+# 1. Navigate to and click on "插入-链接" and "提取-提取数据". In the "界面-“数据提取-开始", click "创建新数据提取" then proceed to next.
+# 2. After clicking "next", a prompt appears to save the data extraction as a "*.dxe" file. Name it and click "save".
+# 3. After saving, the interface "界面-“数据提取-定义数据源" opens. Click on "数据源-图形/图纸集" and check "包括当前图形". Then click "next".
+# 4. In the "数据提取-选取对象" interface, uncheck "显示所有对象类型", click "仅显示块", then click "next".
+# 5. In the "数据提取-选择特性" interface, keep default selections and click "next".
+# 6. In the "数据提取-优化数据" interface, keep default settings and click "next".
+# 7. In the "数据提取-选择输出" interface, check "将数据提取处理表插入图形" and "将数据输入至外部文件". Click "...", choose ".xlsx" type in "另存为" dialog, input save path and filename, click "save", then click "next" in "选择输出".
+# 8. In the "数据提取-表格样式" interface, keep default settings and click "next".
+# 9. In the "数据提取-完成" interface, click finish to complete the attribute extraction and get the output Excel file.
+def cad2osm(
+    cad_path: str,
+    node_start_id: int = 0,
+    way_start_id: int = 0,
+    merge_gate: float = 0.0,
+    x_transform_func: Optional[Callable[[float], float]] = None,
+    y_transform_func: Optional[Callable[[float], float]] = None,
+) -> List[Dict]:
+    df = pd.read_excel(cad_path)
+    df = df.fillna(0)
+    if x_transform_func is None:
+        x_transform_func = lambda x: x
+    if y_transform_func is None:
+        y_transform_func = lambda y: y
+    node_id, way_id = node_start_id, way_start_id
+    osm_data: List[Dict] = []
+    ANGLE_STEP = 1
+    _edge_node_ids:Set[int] = set()
+    for i, now_row in df.iterrows():
+        if now_row["名称"] == "直线":
+            _edge_node_ids.add(node_id)
+            n = {
+                "type": "node",
+                "id": node_id,
+                "x": float(now_row["起点 X"]),
+                "y": float(now_row["起点 Y"]),
+            }
+            osm_data.append(n)
+            node_id += 1
+            
+            _edge_node_ids.add(node_id)
+            n = {
+                "type": "node",
+                "id": node_id,
+                "x": float(now_row["端点 X"]),
+                "y": float(now_row["端点 Y"]),
+            }
+            osm_data.append(n)
+            node_id += 1
+
+            w = {
+                "type": "way",
+                "id": way_id,
+                "nodes": [node_id - 2, node_id - 1],
+                "tags": {"highway": "tertiary"}, # here we set the same tag for all ways
+                "others": now_row,
+            }
+            way_id += 1
+
+            osm_data.append(w)
+        elif now_row["名称"] == "圆弧":
+            c_x = float(now_row["中心 X"])
+            c_y = float(now_row["中心 Y"])
+            start_angle = float(now_row["起点角度"])
+            r = float(now_row["半径"])
+            agl = 0
+            nodes_indexes = []
+            total_angle = float(now_row["总角度"])
+            for agl in np.linspace(0, total_angle, max(int(total_angle / ANGLE_STEP), 3)):
+                n = {
+                    "type": "node",
+                    "id": node_id,
+                    "x": c_x + r * math.cos(math.pi * (agl + start_angle) / 180),
+                    "y": c_y + r * math.sin(math.pi * (agl + start_angle) / 180),
+                }
+                osm_data.append(n)
+                nodes_indexes.append(n["id"])
+                node_id += 1
+            _edge_node_ids.add(nodes_indexes[0])
+            _edge_node_ids.add(nodes_indexes[-1])
+            w = {
+                "type": "way",
+                "id": way_id,
+                "nodes": nodes_indexes,
+                "tags": {"highway": "tertiary"},  # here we set the same tag for all ways
+                "others": now_row,
+            }
+            osm_data.append(w)
+            way_id += 1
+    for i in osm_data:
+        for _key, _transform_func in zip(
+            ["x", "y"], [x_transform_func, y_transform_func]
+        ):
+            if _key in i:
+                i[_key] = _transform_func(i[_key])
+    to_merge_xys_dict = {i["id"]:(i["x"], i["y"]) for i in osm_data if "x" in i and "y" in i}
+    tree_id_to_node_id = {idx:i for idx,i in enumerate(to_merge_xys_dict.keys())}
+    tree = KDTree([v for v in to_merge_xys_dict.values()])  # type:ignore
+    merged = set()
+    father_id_dict = {
+        i: i for i in range(node_id)
+    }  # Initialize the parent node id of each node
+    for _node_idx, xy in to_merge_xys_dict.items():
+        if _node_idx in merged:
+            continue
+        a = [tree_id_to_node_id[i] for i in tree.query_ball_point(xy, merge_gate)]  # type:ignore
+        if len(a) == 1:
+            unique_node_idx = a.pop()
+            father_id_dict[unique_node_idx] = _node_idx
+            merged.add(unique_node_idx)
+        else:
+            visited_nids = {_node_idx}
+            while len(a) > 0:
+                b = []
+                for i in a:
+                    if i in visited_nids:
+                        continue
+                    _xy = to_merge_xys_dict[i]
+                    b.extend(
+                        [tree_id_to_node_id[j] for j in tree.query_ball_point(_xy, merge_gate)]  # type:ignore
+                    ) 
+                    visited_nids.add(i)
+                    father_id_dict[i] = _node_idx
+                a, b = b, []
+            merged |= visited_nids
+    for i in range(node_id):
+        while father_id_dict[i] != father_id_dict[father_id_dict[i]]:
+            father_id_dict[i] = father_id_dict[father_id_dict[i]]
+    to_delete_ids = set()
+    for i in osm_data:
+        if i["type"] == "way":
+            i["nodes"] = [father_id_dict[n] for n in i["nodes"]]
+            if not len(set(i["nodes"]))>=2:
+                to_delete_ids.add(("way",i["id"]))            
+        elif i["type"] == "node" and father_id_dict[i["id"]] != i["id"]:
+            to_delete_ids.add(("node",i["id"]))
+    return [i for i in osm_data if (i["type"],i["id"]) not in to_delete_ids]
+
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s %(levelname)s %(message)s",
+)
+PROJ_STR = "+proj=tmerc +lat_0=33.9 +lon_0=116.4"
+os.makedirs("cache", exist_ok=True)
+rn = RoadNet(
+    proj_str=PROJ_STR,
+)
+CAD_PATH = "./data/cad/cad.xlsx"
+osm_data = cad2osm(
+    CAD_PATH,
+    x_transform_func=lambda x: x - 229036.4782002,
+    y_transform_func=lambda y: y - 214014.32078879,
+)
+import pickle
+
+pickle.dump(osm_data, open("./cache/osm_data.pkl", "wb"))
+print(Counter(i["type"] for i in osm_data))
+path = "cache/topo_from_cad.geojson"
+net = rn.create_road_net(path, osm_data_cache=osm_data)
+
+builder = Builder(
+    net=net,
+    gen_sidewalk_speed_limit=50 / 3.6,
+    road_expand_mode="M",
+    proj_str=PROJ_STR,
+)
+m = builder.build("test")
+pb = dict2pb(m, Map())
+with open("data/temp/cad_map.pb", "wb") as f:
+    f.write(pb.SerializeToString())
diff --git a/mosstool/map/_map_util/format_checker.py b/mosstool/map/_map_util/format_checker.py
index 5439792..65e16d3 100644
--- a/mosstool/map/_map_util/format_checker.py
+++ b/mosstool/map/_map_util/format_checker.py
@@ -1,15 +1,15 @@
 """Check the field type and value of map format"""
 
 import logging
-import sys
 from collections import defaultdict
+from typing import Dict, List, Optional
 
 from geojson import FeatureCollection
 
 from ...type import LaneType
 from .._map_util.const import *
 
-__all__ = ["geojson_format_check", "output_format_check"]
+__all__ = ["geojson_format_check", "output_format_check", "osm_format_checker"]
 
 
 class _FormatCheckHandler(logging.Handler):
@@ -302,7 +302,7 @@ def geojson_format_check(
     handler.trigger_warnings()
 
 
-def output_format_check(output_map: dict, output_lane_length_check: bool):
+def output_format_check(output_map: dict, output_lane_length_check: bool) -> None:
     logging.basicConfig(level=logging.INFO)
     handler = _FormatCheckHandler()
     logger = logging.getLogger()
@@ -411,3 +411,37 @@ def output_format_check(output_map: dict, output_lane_length_check: bool):
                     f"Junction {lane_type} lane {lane_id} is too long ({length} m), please check input GeoJSON file!"
                 )
     handler.trigger_warnings()
+
+
+def osm_format_checker(
+    osm_cache_check: bool,
+    osm_data: Optional[List[Dict]] = None,
+    required_keys_dict: Optional[Dict[str, List[str]]] = None,
+) -> None:
+    if not osm_cache_check:
+        return
+    if osm_data is None:
+        return
+    logging.basicConfig(level=logging.INFO)
+    handler = _FormatCheckHandler()
+    logger = logging.getLogger()
+    logger.addHandler(handler)
+    if not hasattr(osm_data, "__iter__"):
+        logging.warning(f"input OSM data is not iterable!")
+    else:
+        if not all(isinstance(d, dict) for d in osm_data):
+            logging.warning(f"Not all items in OSM data is a `Dict`!")
+        else:
+            for _key in ["type", "id"]:
+                if not all(_key in d for d in osm_data):
+                    logging.warning(f"insufficient key {_key} provided in OSM data!")
+            if required_keys_dict is None:
+                required_keys_dict = {}
+            for d in osm_data:
+                _keys = required_keys_dict.get(d["type"], [])
+                if any(_key not in d for _key in _keys):
+                    logging.warning(
+                        f"insufficient keys {_keys} provided in OSM data {d}!"
+                    )
+
+    handler.trigger_warnings()
diff --git a/mosstool/map/builder/builder.py b/mosstool/map/builder/builder.py
index f3f0ab9..0695d9e 100644
--- a/mosstool/map/builder/builder.py
+++ b/mosstool/map/builder/builder.py
@@ -185,11 +185,16 @@ def __init__(
                     )  # (N, 2)
                     xyz_coords = np.column_stack([xy_coords, z_coords])  # (N, 3)
                 else:
+                    z_coords = (
+                        coords[:, 2]
+                        if coords.shape[1] > 2
+                        else np.zeros((coords.shape[0], 1), dtype=np.float64)
+                    )
                     xy_coords = np.array(
                         [c[:2] for c in feature["geometry"]["coordinates"]],
                         dtype=np.float64,
                     )
-                    xyz_coords = coords
+                    xyz_coords = np.column_stack([xy_coords, z_coords])  # (N, 3)
                 feature["geometry"]["coordinates_xy"] = xy_coords
                 feature["geometry"]["coordinates_xyz"] = xyz_coords
                 if feature["geometry"]["type"] == "LineString":
diff --git a/mosstool/map/osm/building.py b/mosstool/map/osm/building.py
index 0875026..ee1f131 100644
--- a/mosstool/map/osm/building.py
+++ b/mosstool/map/osm/building.py
@@ -1,5 +1,5 @@
 import logging
-from typing import Dict, Optional
+from typing import Dict, List, Optional, Tuple
 
 import pyproj
 import requests
@@ -8,6 +8,8 @@
 from shapely.geometry import MultiPolygon as sMultiPolygon
 from shapely.geometry import Polygon as sPolygon
 
+from .._map_util.format_checker import osm_format_checker
+
 __all__ = ["Building"]
 
 
@@ -18,23 +20,23 @@ class Building:
 
     def __init__(
         self,
-        proj_str: str,
-        max_longitude: float,
-        min_longitude: float,
-        max_latitude: float,
-        min_latitude: float,
+        proj_str: Optional[str] = None,
+        max_longitude: Optional[float] = None,
+        min_longitude: Optional[float] = None,
+        max_latitude: Optional[float] = None,
+        min_latitude: Optional[float] = None,
         wikipedia_name: Optional[str] = None,
         proxies: Optional[Dict[str, str]] = None,
     ):
         """
         Args:
-        - proj_str (str): projection string, e.g. 'epsg:3857'
-        - max_longitude (float): max longitude
-        - min_longitude (float): min longitude
-        - max_latitude (float): max latitude
-        - min_latitude (float): min latitude
-        - wikipedia_name (str): wikipedia name of the area in OSM.
-        - proxies (dict): proxies for requests, e.g. {'http': 'http://localhost:1080', 'https': 'http://localhost:1080'}
+        - proj_str (Optional[str]): projection string, e.g. 'epsg:3857'
+        - max_longitude (Optional[float]): max longitude
+        - min_longitude (Optional[float]): min longitude
+        - max_latitude (Optional[float]): max latitude
+        - min_latitude (Optional[float]): min latitude
+        - wikipedia_name (Optional[str]): wikipedia name of the area in OSM.
+        - proxies (Optional[Dict[str, str]]): proxies for requests, e.g. {'http': 'http://localhost:1080', 'https': 'http://localhost:1080'}
         """
         self.bbox = (
             min_latitude,
@@ -42,7 +44,12 @@ def __init__(
             max_latitude,
             max_longitude,
         )
-        self.projector = pyproj.Proj(proj_str)
+        self.proj_parameter = proj_str
+        self.projector = (
+            pyproj.Proj(self.proj_parameter) if self.proj_parameter else None
+        )
+        if self.projector is None and any(i is None for i in self.bbox):
+            logging.warning("Using osm cache data for input and xy coords for output!")
         self.wikipedia_name = wikipedia_name
         self.proxies = proxies
         # OSM raw data
@@ -55,62 +62,76 @@ def __init__(
         # generate AOIs
         self.aois: list = []
 
-    def _query_raw_data(self):
+    def _query_raw_data(self, osm_data_cache: Optional[List[Dict]] = None):
         """
         Get raw data from OSM API
         OSM query language: https://wiki.openstreetmap.org/wiki/Overpass_API/Language_Guide
         Can be run and visualized in real time at https://overpass-turbo.eu/
         """
-        logging.info("Querying osm raw data")
-        bbox_str = ",".join(str(i) for i in self.bbox)
-        query_header = f"[out:json][timeout:120][bbox:{bbox_str}];"
-        area_wikipedia_name = self.wikipedia_name
-        if area_wikipedia_name is not None:
-            query_header += f'area[wikipedia="{area_wikipedia_name}"]->.searchArea;'
-        osm_data = None
-        for _ in range(3):  # retry 3 times
-            try:
-                query_body_raw = [
-                    (
-                        "way",
-                        '[!highway][!tunnel][!boundary][!railway][!natural][!barrier][!junction][!waterway][!public_transport][landuse!~"grass|forest"][place!~"suburb|neighbourhood"][amenity!=fountain][historic!=city_gate][artwork_type!=sculpture][man_made!~"bridge|water_well"][building!~"wall|train_station|roof"]',
-                    ),
-                    (
-                        "rel",
-                        '[landuse][landuse!~"grass|forest"][type=multipolygon]',
-                    ),
-                    (
-                        "rel",
-                        "[amenity][amenity!=fountain][type=multipolygon]",
-                    ),
-                    (
-                        "rel",
-                        '[building][building!~"wall|train_station|roof"][type=multipolygon]',
-                    ),
-                    (
-                        "rel",
-                        "[leisure][leisure!=nature_reserve][type=multipolygon]",
-                    ),
-                ]
-                query_body = ""
-                for obj, args in query_body_raw:
-                    area = (
-                        "(area.searchArea)" if area_wikipedia_name is not None else ""
-                    )
-                    query_body += obj + area + args + ";"
-                query_body = "(" + query_body + ");"
-                query = query_header + query_body + "(._;>;);" + "out body;"
-                logging.info(f"{query}")
-                osm_data = requests.get(
-                    "http://overpass-api.de/api/interpreter?data=" + query,
-                    proxies=self.proxies,
-                ).json()["elements"]
-                break
-            except Exception as e:
-                logging.warning(f"Exception when querying OSM data {e}")
-                logging.warning("No response from OSM, Please try again later!")
-        if osm_data is None:
-            raise Exception("No AOI response from OSM!")
+        if osm_data_cache is None:
+            logging.info("Querying osm raw data")
+            assert all(
+                i is not None for i in self.bbox
+            ), f"longitude and latitude are required without cache file!"
+            (min_lat, min_lon, max_lat, max_lon) = self.bbox
+            if self.proj_parameter is None and self.projector is None:
+                proj_str = f"+proj=tmerc +lat_0={(max_lat+min_lat)/2} +lon_0={(max_lon+min_lon)/2}"  # type: ignore
+                self.proj_parameter = proj_str
+                self.projector = pyproj.Proj(self.proj_parameter)
+            bbox_str = ",".join(str(i) for i in self.bbox)
+            query_header = f"[out:json][timeout:120][bbox:{bbox_str}];"
+            area_wikipedia_name = self.wikipedia_name
+            if area_wikipedia_name is not None:
+                query_header += f'area[wikipedia="{area_wikipedia_name}"]->.searchArea;'
+            osm_data = None
+            for _ in range(3):  # retry 3 times
+                try:
+                    query_body_raw = [
+                        (
+                            "way",
+                            '[!highway][!tunnel][!boundary][!railway][!natural][!barrier][!junction][!waterway][!public_transport][landuse!~"grass|forest"][place!~"suburb|neighbourhood"][amenity!=fountain][historic!=city_gate][artwork_type!=sculpture][man_made!~"bridge|water_well"][building!~"wall|train_station|roof"]',
+                        ),
+                        (
+                            "rel",
+                            '[landuse][landuse!~"grass|forest"][type=multipolygon]',
+                        ),
+                        (
+                            "rel",
+                            "[amenity][amenity!=fountain][type=multipolygon]",
+                        ),
+                        (
+                            "rel",
+                            '[building][building!~"wall|train_station|roof"][type=multipolygon]',
+                        ),
+                        (
+                            "rel",
+                            "[leisure][leisure!=nature_reserve][type=multipolygon]",
+                        ),
+                    ]
+                    query_body = ""
+                    for obj, args in query_body_raw:
+                        area = (
+                            "(area.searchArea)"
+                            if area_wikipedia_name is not None
+                            else ""
+                        )
+                        query_body += obj + area + args + ";"
+                    query_body = "(" + query_body + ");"
+                    query = query_header + query_body + "(._;>;);" + "out body;"
+                    logging.info(f"{query}")
+                    osm_data = requests.get(
+                        "http://overpass-api.de/api/interpreter?data=" + query,
+                        proxies=self.proxies,
+                    ).json()["elements"]
+                    break
+                except Exception as e:
+                    logging.warning(f"Exception when querying OSM data {e}")
+                    logging.warning("No response from OSM, Please try again later!")
+            if osm_data is None:
+                raise Exception("No AOI response from OSM!")
+        else:
+            logging.info("Loading osm raw data from cache")
+            osm_data = osm_data_cache
         nodes = [d for d in osm_data if d["type"] == "node"]
         ways = [d for d in osm_data if d["type"] == "way"]
         rels = [
@@ -145,10 +166,19 @@ def _make_raw_aoi(self):
         ways_aoi = self._ways_aoi
         ways_rel = self._ways_rel
         logging.info("Making raw aoi")
-        nodes_dict = {
-            n["id"]: [a for a in self.projector(n["lon"], n["lat"], inverse=False)]
-            for n in nodes
-        }
+        nodes_dict = {}
+        for n in nodes:
+            if "x" in n and "y" in n:
+                nodes_dict[n["id"]] = [a for a in (n["x"], n["y"])]
+            elif "lon" in n and "lat" in n:
+                assert (
+                    self.projector is not None
+                ), f"proj_str are required when downloading from OSM!"
+                nodes_dict[n["id"]] = [
+                    a for a in self.projector(n["lon"], n["lat"], inverse=False)
+                ]
+            else:
+                raise ValueError(f"Neither lon and lat or x and y in node {n}!")
         ways_aoi_dict = {w["id"]: w for w in ways_aoi}  # nodes, tags
         ways_rel_dict = {w["id"]: w for w in ways_rel}
         rels_dict = {r["id"]: r for r in rels}  # members: [(ref, role)], tags
@@ -311,17 +341,31 @@ def _make_raw_aoi(self):
         logging.info(f"invalid_relation_cnt: {invalid_relation_cnt}")
         logging.info(f"raw aoi: {len(self.aois)}")
 
-    def create_building(self, output_path: Optional[str] = None):
+    def _transform_coordinate(self, c: Tuple[float, float]) -> List[float]:
+        if self.projector is None:
+            return [c[0], c[1]]
+        else:
+            return list(self.projector(c[0], c[1], inverse=True))
+
+    def create_building(
+        self,
+        output_path: Optional[str] = None,
+        osm_data_cache: Optional[List[Dict]] = None,
+        osm_cache_check: bool = False,
+    ):
         """
         Create AOIs from OpenStreetMap.
 
         Args:
+        - osm_data_cache (Optional[List[Dict]]): OSM data cache.
         - output_path (str): GeoJSON file output path.
+        - osm_cache_check (bool): check the format of input OSM data cache.
 
         Returns:
         - AOIs in GeoJSON format.
         """
-        self._query_raw_data()
+        osm_format_checker(osm_cache_check, osm_data_cache)
+        self._query_raw_data(osm_data_cache)
         self._make_raw_aoi()
         geos = []
         for aoi in self.aois:
@@ -330,7 +374,7 @@ def create_building(self, output_path: Optional[str] = None):
                     geometry=Polygon(
                         [
                             [
-                                list(self.projector(c[0], c[1], inverse=True))
+                                self._transform_coordinate(c)
                                 for c in aoi["geo"].exterior.coords
                             ]
                         ]
diff --git a/mosstool/map/osm/point_of_interest.py b/mosstool/map/osm/point_of_interest.py
index c7aa108..221e15e 100644
--- a/mosstool/map/osm/point_of_interest.py
+++ b/mosstool/map/osm/point_of_interest.py
@@ -1,9 +1,11 @@
 import logging
-from typing import Dict, Optional
+from typing import Dict, List, Optional
 
 import requests
 from geojson import Feature, FeatureCollection, Point, dump
 
+from .._map_util.format_checker import osm_format_checker
+
 __all__ = ["PointOfInterest"]
 
 
@@ -14,21 +16,21 @@ class PointOfInterest:
 
     def __init__(
         self,
-        max_longitude: float,
-        min_longitude: float,
-        max_latitude: float,
-        min_latitude: float,
+        max_longitude: Optional[float] = None,
+        min_longitude: Optional[float] = None,
+        max_latitude: Optional[float] = None,
+        min_latitude: Optional[float] = None,
         wikipedia_name: Optional[str] = None,
         proxies: Optional[Dict[str, str]] = None,
     ):
         """
         Args:
-        - max_longitude (float): max longitude
-        - min_longitude (float): min longitude
-        - max_latitude (float): max latitude
-        - min_latitude (float): min latitude
-        - wikipedia_name (str): wikipedia name of the area in OSM.
-        - proxies (dict): proxies for requests, e.g. {'http': 'http://localhost:1080', 'https': 'http://localhost:1080'}
+        - max_longitude (Optional[float]): max longitude
+        - min_longitude (Optional[float]): min longitude
+        - max_latitude (Optional[float]): max latitude
+        - min_latitude (Optional[float]): min latitude
+        - wikipedia_name (Optional[str]): wikipedia name of the area in OSM.
+        - proxies (Optional[Dict[str, str]]): proxies for requests, e.g. {'http': 'http://localhost:1080', 'https': 'http://localhost:1080'}
         """
         self.bbox = (
             min_latitude,
@@ -44,57 +46,66 @@ def __init__(
         # generate POIs
         self.pois: list = []
 
-    def _query_raw_data(self):
+    def _query_raw_data(self, osm_data_cache: Optional[List[Dict]] = None):
         """
         Get raw data from OSM API
         OSM query language: https://wiki.openstreetmap.org/wiki/Overpass_API/Language_Guide
         Can be run and visualized in real time at https://overpass-turbo.eu/
         """
-        logging.info("Querying osm raw data")
-        bbox_str = ",".join(str(i) for i in self.bbox)
-        query_header = f"[out:json][timeout:120][bbox:{bbox_str}];"
-        area_wikipedia_name = self.wikipedia_name
-        if area_wikipedia_name is not None:
-            query_header += f'area[wikipedia="{area_wikipedia_name}"]->.searchArea;'
-        osm_data = None
-        for _ in range(3):  # retry 3 times
-            try:
-                query_body_raw = [
-                    (
-                        "node",
-                        "",
-                    ),
-                ]
-                query_body = ""
-                for obj, args in query_body_raw:
-                    area = (
-                        "(area.searchArea)" if area_wikipedia_name is not None else ""
-                    )
-                    query_body += obj + area + args + ";"
-                query_body = "(" + query_body + ");"
-                query = query_header + query_body + "(._;>;);" + "out body;"
-                logging.info(f"{query}")
-                osm_data = requests.get(
-                    "http://overpass-api.de/api/interpreter?data=" + query,
-                    proxies=self.proxies,
-                ).json()["elements"]
-                break
-            except Exception as e:
-                logging.warning(f"Exception when querying OSM data {e}")
-                logging.warning("No response from OSM, Please try again later!")
-        if osm_data is None:
-            raise Exception("No POI response from OSM!")
+        if osm_data_cache is None:
+            logging.info("Querying osm raw data")
+            assert all(
+                i is not None for i in self.bbox
+            ), f"longitude and latitude are required without cache file!"
+            bbox_str = ",".join(str(i) for i in self.bbox)
+            query_header = f"[out:json][timeout:120][bbox:{bbox_str}];"
+            area_wikipedia_name = self.wikipedia_name
+            if area_wikipedia_name is not None:
+                query_header += f'area[wikipedia="{area_wikipedia_name}"]->.searchArea;'
+            osm_data = None
+            for _ in range(3):  # retry 3 times
+                try:
+                    query_body_raw = [
+                        (
+                            "node",
+                            "",
+                        ),
+                    ]
+                    query_body = ""
+                    for obj, args in query_body_raw:
+                        area = (
+                            "(area.searchArea)"
+                            if area_wikipedia_name is not None
+                            else ""
+                        )
+                        query_body += obj + area + args + ";"
+                    query_body = "(" + query_body + ");"
+                    query = query_header + query_body + "(._;>;);" + "out body;"
+                    logging.info(f"{query}")
+                    osm_data = requests.get(
+                        "http://overpass-api.de/api/interpreter?data=" + query,
+                        proxies=self.proxies,
+                    ).json()["elements"]
+                    break
+                except Exception as e:
+                    logging.warning(f"Exception when querying OSM data {e}")
+                    logging.warning("No response from OSM, Please try again later!")
+            if osm_data is None:
+                raise Exception("No POI response from OSM!")
+        else:
+            osm_data = osm_data_cache
         nodes = [d for d in osm_data if d["type"] == "node"]
         logging.info(f"node: {len(nodes)}")
         self._nodes = nodes
+
     def _make_raw_poi(self):
         """
         Construct POI from original OSM data.
         """
-        _raw_pois = []        
+        _raw_pois = []
         for d in self._nodes:
-            d_tags = d.get("tags",{})
-            p_name = d_tags.get("name","")
+            d_tags = d.get("tags", {})
+            p_name = d_tags.get("name", "")
             # name
             d["name"] = p_name
             # catg
@@ -129,30 +140,37 @@ def _make_raw_poi(self):
                     continue
         logging.info(f"raw poi: {len(_raw_pois)}")
         self.pois = _raw_pois
-    def create_pois(self, output_path: Optional[str] = None):
+
+    def create_pois(
+        self,
+        output_path: Optional[str] = None,
+        osm_data_cache: Optional[List[Dict]] = None,
+        osm_cache_check: bool = False,
+    ):
         """
         Create POIs from OpenStreetMap.
 
         Args:
+        - osm_data_cache (Optional[List[Dict]]): OSM data cache.
         - output_path (str): GeoJSON file output path.
+        - osm_cache_check (bool): check the format of input OSM data cache.
 
         Returns:
         - POIs in GeoJSON format.
         """
-        self._query_raw_data()
+        osm_format_checker(osm_cache_check, osm_data_cache, {"node": ["lon", "lat"]})
+        self._query_raw_data(osm_data_cache)
         self._make_raw_poi()
         geos = []
-        for poi_id,poi in enumerate(self.pois):
+        for poi_id, poi in enumerate(self.pois):
             geos.append(
                 Feature(
-                    geometry=Point(
-                        [poi["lon"],poi["lat"]]
-                    ),
+                    geometry=Point([poi["lon"], poi["lat"]]),
                     properties={
                         "id": poi_id,
                         "osm_tags": poi["tags"],
-                        "name":poi["name"],
-                        "catg":poi["catg"],
+                        "name": poi["name"],
+                        "catg": poi["catg"],
                     },
                 )
             )
diff --git a/mosstool/map/osm/roadnet.py b/mosstool/map/osm/roadnet.py
index 5d13eb9..7929b5e 100644
--- a/mosstool/map/osm/roadnet.py
+++ b/mosstool/map/osm/roadnet.py
@@ -10,8 +10,8 @@
 import requests
 from geojson import Feature, FeatureCollection, LineString, MultiPoint, dump
 from shapely.geometry import LineString as sLineString
-from tqdm import tqdm
 
+from .._map_util.format_checker import osm_format_checker
 from .._map_util.osm_const import *
 from ._motif import close_nodes, motif_H, suc_is_close_by_other_way
 from ._wayutil import merge_way_nodes, parse_osm_way_tags
@@ -26,33 +26,37 @@ class RoadNet:
 
     def __init__(
         self,
-        proj_str: str,
-        max_longitude: float,
-        min_longitude: float,
-        max_latitude: float,
-        min_latitude: float,
+        proj_str: Optional[str] = None,
+        max_longitude: Optional[float] = None,
+        min_longitude: Optional[float] = None,
+        max_latitude: Optional[float] = None,
+        min_latitude: Optional[float] = None,
         wikipedia_name: Optional[str] = None,
         proxies: Optional[Dict[str, str]] = None,
     ):
         """
         Args:
-        - proj_str (str): projection string, e.g. 'epsg:3857'
-        - max_longitude (float): max longitude
-        - min_longitude (float): min longitude
-        - max_latitude (float): max latitude
-        - min_latitude (float): min latitude
-        - wikipedia_name (str): wikipedia name of the area in OSM.
-        - proxies (dict): proxies for requests, e.g. {'http': 'http://localhost:1080', 'https': 'http://localhost:1080'}
+        - proj_str (Optional[str]): projection string, e.g. 'epsg:3857'
+        - max_longitude (Optional[float]): max longitude
+        - min_longitude (Optional[float]): min longitude
+        - max_latitude (Optional[float]): max latitude
+        - min_latitude (Optional[float]): min latitude
+        - wikipedia_name (Optional[str]): wikipedia name of the area in OSM.
+        - proxies (Optional[Dict[str, str]]): proxies for requests, e.g. {'http': 'http://localhost:1080', 'https': 'http://localhost:1080'}
         """
         # configs
         self.proj_parameter = proj_str
-        self.projector = pyproj.Proj(self.proj_parameter)
+        self.projector = (
+            pyproj.Proj(self.proj_parameter) if proj_str is not None else None
+        )
         self.bbox = (
             min_latitude,
             min_longitude,
             max_latitude,
             max_longitude,
         )
+        if self.projector is None and any(i is None for i in self.bbox):
+            logging.warning("Using osm cache data for input and xy coords for output!")
         self.proxies = proxies
         self.wikipedia_name = wikipedia_name
         self.way_filter = WAY_FILTER
@@ -76,6 +80,14 @@ def default_way_settings(self):
 
     def _download_osm(self):
         """Fetch raw data from OpenStreetMap"""
+        assert all(
+            i is not None for i in self.bbox
+        ), f"longitude and latitude are required without cache file!"
+        (min_lat, min_lon, max_lat, max_lon) = self.bbox
+        if self.proj_parameter is None and self.projector is None:
+            proj_str = f"+proj=tmerc +lat_0={(max_lat+min_lat)/2} +lon_0={(max_lon+min_lon)/2}"  # type: ignore
+            self.proj_parameter = proj_str
+            self.projector = pyproj.Proj(self.proj_parameter)
         bbox_str = ",".join(str(i) for i in self.bbox)
         query = f"[out:json][timeout:180][bbox:{bbox_str}];"
         wikipedia_name = self.wikipedia_name
@@ -252,21 +264,36 @@ def to_topo(self):
 
         return FeatureCollection(geos)
 
-    def _get_osm(self):
-        osm_data = self._download_osm()
+    def _get_osm(self, osm_data_cache: Optional[List[Dict]] = None):
+        if osm_data_cache is not None:
+            osm_data = osm_data_cache
+        else:
+            osm_data = self._download_osm()
         # find every valuable nodes
         self.nodes = {}
-        for doc in tqdm(osm_data):
+        for doc in osm_data:
             if doc["type"] != "node":
                 continue
-            if "lon" in doc and "lat" in doc:
+            if "x" in doc and "y" in doc:
+                # doc["x"], doc["y"] = round(doc["x"], 6), round(doc["y"], 6)
+                if self.projector is not None:
+                    doc["lon"], doc["lat"] = self.projector(
+                        doc["x"], doc["y"], inverse=True
+                    )
+                else:
+                    doc["lon"], doc["lat"] = doc["x"], doc["y"]
+                self.nodes[doc["id"]] = doc
+            elif "lon" in doc and "lat" in doc:
                 # Latitude and longitude are specified with a precision of six decimal places.
                 doc["lon"], doc["lat"] = round(doc["lon"], 6), round(doc["lat"], 6)
+                assert (
+                    self.projector is not None
+                ), f"proj_str are required when downloading from OSM!"
                 doc["x"], doc["y"] = self.projector(doc["lon"], doc["lat"])
                 self.nodes[doc["id"]] = doc
         # all ways
         self.ways = {}
-        for way in tqdm(osm_data):
+        for way in osm_data:
             # Filter non-way elements
             if way["type"] != "way":
                 continue
@@ -297,7 +324,7 @@ def _get_osm(self):
         way_id = max(self.ways)
         # New road collection
         new_ways = {}
-        for way in tqdm(self.ways.values()):
+        for way in self.ways.values():
             last_pos = 0
             for pos, node in list(enumerate(way["nodes"]))[1:-1]:
                 if node in joints:
@@ -442,45 +469,48 @@ def _remove_simple_joints(self):
         # Two-way processing, find all connected components, confirm that there are 2 points with degree 1, and the rest are points with degree 2
         # Select any point with degree 1, calculate the path to another point, and then assemble the new way
         # Find all Unicom components
-        for component in list(nx.connected_components(g)):
-            # Use assert to confirm that there are 2 nodes with degree 1, and the rest are nodes with degree 2
-            degree_one_count = 0
-            degree_two_count = 0
-            for node in component:
-                if g.degree(node) == 1:  # type: ignore
-                    degree_one_count += 1
-                elif g.degree(node) == 2:  # type: ignore
-                    degree_two_count += 1
-                else:
-                    raise AssertionError(
-                        "The degree of the node does not meet the requirements"
-                    )
-            assert (
-                degree_one_count == 2
-            ), "The number of nodes with degree 1 is incorrect"
-            assert (
-                degree_two_count == len(component) - 2
-            ), "The number of nodes with degree 2 is incorrect"
-            # Select a node with degree 1 and calculate the path to another node with degree 1
-            degree_one_nodes = [
-                node for node in component if g.degree(node) == 1  # type: ignore
-            ]
-            start_node = degree_one_nodes[0]
-            end_node = degree_one_nodes[1]
-            way_ids = nx.shortest_path(g, start_node, end_node)
-            # Assemble new ways and delete redundant ways
-            main_way_id = way_ids[0]
-            main_way = self.ways[main_way_id]
-            main_way["remove_simple_joints"] = "main"
-            for way_id in way_ids[1:]:
-                way = self.ways[way_id]
-                try:
-                    main_way["nodes"] = merge_way_nodes(main_way["nodes"], way["nodes"])
-                except ValueError as e:
-                    # with open("cache/graph.pkl", "wb") as f:
-                    #     pickle.dump([g, component], f)
-                    raise e
-                removed_ids.add(way_id)
+        try:
+            for component in list(nx.connected_components(g)):
+                # Use assert to confirm that there are 2 nodes with degree 1, and the rest are nodes with degree 2
+                degree_one_count = 0
+                degree_two_count = 0
+                for node in component:
+                    if g.degree(node) == 1:  # type: ignore
+                        degree_one_count += 1
+                    elif g.degree(node) == 2:  # type: ignore
+                        degree_two_count += 1
+                    else:
+                        raise AssertionError(
+                            "The degree of the node does not meet the requirements"
+                        )
+                assert (
+                    degree_one_count == 2
+                ), "The number of nodes with degree 1 is incorrect"
+                assert (
+                    degree_two_count == len(component) - 2
+                ), "The number of nodes with degree 2 is incorrect"
+                # Select a node with degree 1 and calculate the path to another node with degree 1
+                degree_one_nodes = [
+                    node for node in component if g.degree(node) == 1  # type: ignore
+                ]
+                start_node = degree_one_nodes[0]
+                end_node = degree_one_nodes[1]
+                way_ids = nx.shortest_path(g, start_node, end_node)
+                # Assemble new ways and delete redundant ways
+                main_way_id = way_ids[0]
+                main_way = self.ways[main_way_id]
+                main_way["remove_simple_joints"] = "main"
+                for way_id in way_ids[1:]:
+                    way = self.ways[way_id]
+                    try:
+                        main_way["nodes"] = merge_way_nodes(main_way["nodes"], way["nodes"])
+                    except ValueError as e:
+                        # with open("cache/graph.pkl", "wb") as f:
+                        #     pickle.dump([g, component], f)
+                        raise e
+                    removed_ids.add(way_id)
+        except Exception as e:
+            logging.warning(f"Error when trying to simplify roadnet {e}!")
         for wid in removed_ids:
             del self.ways[wid]
         self._assert_ways()
@@ -668,18 +698,26 @@ def _clean_topo(self):
                 del self.node2junction[node]
             del self.junction2nodes[c]
 
-    def create_road_net(self, output_path: Optional[str] = None):
+    def create_road_net(
+        self,
+        output_path: Optional[str] = None,
+        osm_data_cache: Optional[List[Dict]] = None,
+        osm_cache_check: bool = False,
+    ):
         """
         Create Road net from OpenStreetMap.
 
         Args:
-        - output_path (str): GeoJSON file output path.
+        - osm_data_cache (Optional[List[Dict]]): OSM data cache.
+        - output_path (Optional[str]): GeoJSON file output path.
+        - osm_cache_check (bool): check the format of input OSM data cache.
 
         Returns:
         - roads and junctions in GeoJSON format.
         """
+        osm_format_checker(osm_cache_check, osm_data_cache)
         # Get OSM data
-        self._get_osm()
+        self._get_osm(osm_data_cache)
         # self.dump_as_geojson("cache/1.geojson")
         # Process
 
diff --git a/pyproject.toml b/pyproject.toml
index fb6b325..e09d32e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "mosstool"
-version = "1.0.12"
+version = "1.0.13"
 description = "MObility Simulation System toolbox "
 authors = ["Jun Zhang <zhangjun990222@qq.com>"]
 license = "MIT"