erp-gpt-eu / gadm_utils.py
Kuangdai
Initial release of ERP-GPT-EU
b8bc5ba
import pickle
from typing import Dict, Any, Optional, Union, List
import numpy as np
from shapely.geometry import Point
from shapely.strtree import STRtree
from shapely.wkb import loads
class GADMHandler:
"""
Handler for querying GADM hierarchy and geometry, built from preprocessed .gpkg files.
"""
def __init__(self, path: str = "data_api/gadm_tree_europe.pkl") -> None:
"""
Load the GADM tree and construct a spatial index on leaf geometries.
Args:
path (str): Path to the pickled tree file.
"""
with open(path, "rb") as f:
raw_tree = pickle.load(f)
self.tree: Dict[str, Dict[str, Any]] = {}
for gid, node in raw_tree.items():
node = node.copy()
if node["geometry"] is not None:
node["geometry"] = loads(node["geometry"])
self.tree[gid] = node
leaf_items = [
(gid, node["geometry"])
for gid, node in self.tree.items()
if node["geometry"] is not None and not node["children"]
]
self.leaf_polys = [geom for _, geom in leaf_items]
self.leaf_gid_map = {id(geom): gid for gid, geom in leaf_items}
self.leaf_tree = STRtree(self.leaf_polys)
def find_gid(
self, lat: float, lon: float, bbox_area: float = None, return_all: bool = False
) -> Union[str, List[str], None]:
"""
Find the best GADM GID that contains the given point (lat, lon),
optionally selecting the closest match by bounding box area.
Args:
lat (float): Latitude in degrees.
lon (float): Longitude in degrees.
bbox_area (float, optional): Area to match against polygon bounding box area (in degrees²);
if not provided, return the smallest region.
return_all (bool, optional): If True, return all matched GIDs up the tree; else return best match.
Returns:
str or list[str] or None: Best matching GID(s), or None if no polygon contains the point.
"""
point = Point(lon, lat)
gids = []
areas = []
for poly_id in self.leaf_tree.query(point):
poly = self.leaf_polys[poly_id]
if poly.contains(point):
leaf_gid = self.leaf_gid_map[id(poly)]
# Traverse upward to collect candidates
current_gid = leaf_gid
while current_gid:
node = self.tree.get(current_gid)
if node["geometry"] is not None:
minx, miny, maxx, maxy = node["geometry"].bounds
if minx > maxx: # Wraparound correction
maxx += 360.0
poly_bbox_area = abs((maxx - minx) * (maxy - miny))
areas.append(poly_bbox_area)
gids.append(current_gid)
current_gid = node["parent"]
break # Use only the first containing leaf polygon
if not gids:
return None
if return_all:
return gids # Ordered from leaf to root
if bbox_area is None:
bbox_area = 0.0
areas = np.array(areas)
return gids[np.argmin(np.abs(areas - bbox_area))]
def get_polygon(self, gid: str) -> Optional[Any]:
"""
Get the shapely geometry for a given GADM ID.
"""
node = self.tree.get(gid)
return node["geometry"] if node else None
def get_full_name(self, gid: str) -> Optional[str]:
"""
Get the full hierarchical name of a GADM region.
"""
if gid not in self.tree:
return None
names = []
while gid in self.tree:
node = self.tree[gid]
names.append(node["name"] or "UNKNOWN")
gid = node["parent"]
if gid is None:
break
return "; ".join(names)
def get_geometry_info(self, gid: str) -> Optional[Dict[str, Any]]:
"""
Get geometric metadata for the polygon of a GADM region.
"""
polygon = self.get_polygon(gid)
if polygon is None:
return None
centroid = polygon.centroid
lon_c, lat_c = centroid.x, centroid.y
minx, miny, maxx, maxy = polygon.bounds
if minx > maxx:
maxx += 360.0
return {
"latitude": lat_c,
"longitude": lon_c,
"bbox_bounds": (miny, maxy, minx, maxx), # (lat_min, lat_max, lon_min, lon_max)
"polygon_area": polygon.area,
"bbox_area": abs((maxx - minx) * (maxy - miny))
}
def get_tree_info(self, gid: str) -> Optional[Dict[str, Any]]:
"""
Get hierarchical metadata for a GADM region.
"""
node = self.tree.get(gid)
if node is None:
return None
parent = node["parent"]
own_polygon = node.get("geometry")
siblings = []
if own_polygon and not own_polygon.is_empty:
if parent is None:
# Level-0: compare with other level-0 regions
candidates = [
(gid2, node2["geometry"])
for gid2, node2 in self.tree.items()
if node2["level"] == 0 and gid2 != gid and node2.get("geometry")
]
else:
# Use other children of the same parent
candidates = [
(sibling_gid, self.tree[sibling_gid]["geometry"])
for sibling_gid in self.tree[parent]["children"]
if sibling_gid != gid and self.tree[sibling_gid].get("geometry")
]
for gid2, poly2 in candidates:
try:
if own_polygon.touches(poly2) or own_polygon.intersects(poly2):
siblings.append(gid2)
except Exception: # noqa
continue # Catch topology errors etc.
siblings = sorted(siblings)
return {
"level": node["level"],
"parent": parent,
"children": sorted(node["children"]),
"siblings": siblings
}
def get_full_info(self, gid: str) -> Optional[Dict[str, Any]]:
"""
Get complete metadata for a GADM region, including name, geometry, and hierarchy.
"""
if gid not in self.tree:
return None
return {
"full_name": self.get_full_name(gid),
"geometry": self.get_geometry_info(gid),
"tree": self.get_tree_info(gid)
}
def quick_summary(self, gid: str) -> str:
"""
Produce a human-readable summary of a GADM region.
Useful for GPT-based tools and debugging.
"""
info = self.get_full_info(gid)
if not info:
return f"Invalid GID: {gid}"
name = info["full_name"] or "UNKNOWN"
level = info["tree"]["level"]
lat = info["geometry"]["latitude"]
lon = info["geometry"]["longitude"]
return f"{name} (GID={gid}, level={level}, lat={lat:.4f}, lon={lon:.4f})"
def main():
from geo_utils import resolve_place
handler = GADMHandler()
place_info = resolve_place("Cowley, Oxford", gadm_handler=handler)
gid = place_info["gid"]
info = handler.get_full_info(gid)
if info is None:
print(f"GID '{gid}' not found.")
return
print("\n--- GADM Metadata ---")
for key, val in info.items():
if isinstance(val, dict):
print(f"{key}:")
for sub_key, sub_val in val.items():
print(f" {sub_key}: {sub_val}")
else:
print(f"{key}: {val}")
if __name__ == "__main__":
main()