Merge branch 'main' of https://github.com/rubyhrzhang/property-map

Taskfile.yml

@@ -15,6 +15,7 @@ tasks:
     cmds:
       - uv run python download_land_registry.py
       - uv run python download_arcgis_data.py
+      - uv run python download_pois.py
 
   pipeline:
     desc: Run data processing pipeline

download_pois.py

@@ -0,0 +1,54 @@
+"""Download POI data for the UK from Overture Maps."""
+
+from pathlib import Path
+
+import overturemaps
+import pyarrow as pa
+import pyarrow.parquet as pq
+from tqdm import tqdm
+
+# UK bounding box (west, south, east, north)
+UK_BBOX = (-8.65, 49.86, 1.77, 60.86)
+
+OUTPUT_DIR = Path("data_sources")
+OUTPUT_FILE = OUTPUT_DIR / "uk_pois.parquet"
+
+
+def main():
+    OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+
+    if OUTPUT_FILE.exists():
+        print(f"POI file already exists: {OUTPUT_FILE}")
+        print("Delete it manually to re-download.")
+        return
+
+    print("Downloading UK POI data from Overture Maps...")
+    print(f"Bounding box: {UK_BBOX}")
+    print("This may take several minutes...")
+
+    reader = overturemaps.record_batch_reader("place", bbox=UK_BBOX)
+
+    # Read all batches
+    batches = []
+    with tqdm(desc="Downloading batches", unit=" batches") as pbar:
+        for batch in reader:
+            batches.append(batch)
+            pbar.update(1)
+            pbar.set_postfix(rows=sum(b.num_rows for b in batches))
+
+    if not batches:
+        print("No data found in bounding box!")
+        return
+
+    # Combine batches into a table and write
+    table = pa.Table.from_batches(batches, schema=reader.schema)
+
+    print(f"\nWriting {table.num_rows:,} POIs to {OUTPUT_FILE}...")
+    pq.write_table(table, OUTPUT_FILE)
+
+    print(f"Download complete: {OUTPUT_FILE}")
+    print(f"File size: {OUTPUT_FILE.stat().st_size / 1024 / 1024:.1f} MB")
+
+
+if __name__ == "__main__":
+    main()

frontend/src/components/Map.tsx

@@ -67,7 +67,6 @@ function priceToColor(price: number | null | undefined): [number, number, number
 }
 
 function zoomToResolution(zoom: number): number {
-  if (zoom < 7) return 6;
   if (zoom < 8.5) return 7;
   if (zoom < 9.5) return 8;
   if (zoom < 11) return 9;
@@ -164,7 +163,8 @@ export default function Map({ data, onViewChange }: MapProps) {
         getFillColor: (d) => priceToColor(d.avg_price),
         extruded: false,
         pickable: true,
-        opacity: 0.7,
+        opacity: 0.5,
+        highPrecision: true,
       }),
     ],
     [data]

frontend/src/types.ts

@@ -37,5 +37,4 @@ export interface ViewChangeParams {
 
 export interface ApiResponse {
   features: HexagonData[];
-  truncated: boolean;
 }

pipeline/config.py

@@ -2,14 +2,13 @@
 
 from pathlib import Path
 
-# Data directories
 DATA_DIR = Path(__file__).parent.parent / "data_sources"
 PROCESSED_DIR = DATA_DIR / "processed"
 AGGREGATES_DIR = PROCESSED_DIR / "aggregates"
 
 # H3 resolutions to generate and serve
 # https://h3geo.org/docs/core-library/restable/#average-area-in-m2
-H3_RESOLUTIONS = [6, 7, 8, 9, 10, 11]
+H3_RESOLUTIONS = [7, 8, 9, 10, 11]
 DEFAULT_H3_RESOLUTION = 8
 
 # Year filters

pyproject.toml

@@ -21,6 +21,7 @@ dependencies = [
     "fastapi[standard]>=0.115.0",
     "uvicorn>=0.34.0",
     "h3>=3.7.0",
+    "overturemaps>=0.18.0",
     "fastexcel>=0.19.0",
 ]
 

server/config.py

@@ -12,6 +12,10 @@ from pipeline.config import (
     DEFAULT_MAX_PRICE,
 )
 
+# Extra area to return beyond requested bounds (0.2 = 20%)
+# Makes panning smoother by preloading nearby hexagons
+BOUNDS_BUFFER_PERCENT = 0.2
+
 __all__ = [
     "AGGREGATES_DIR",
     "VALID_RESOLUTIONS",
@@ -22,4 +26,5 @@ __all__ = [
     "DEFAULT_MAX_YEAR",
     "DEFAULT_MIN_PRICE",
     "DEFAULT_MAX_PRICE",
+    "BOUNDS_BUFFER_PERCENT",
 ]

server/main.py

@@ -1,3 +1,4 @@
+from contextlib import asynccontextmanager
 from pathlib import Path
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
@@ -5,7 +6,16 @@ from fastapi.staticfiles import StaticFiles
 
 from server.routes import hexagons
 
-app = FastAPI(title="Property Map API")
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    # Startup: preload all parquet files
+    hexagons.preload_dataframes()
+    yield
+    # Shutdown: nothing to clean up
+
+
+app = FastAPI(title="Property Map API", lifespan=lifespan)
 
 app.add_middleware(
     CORSMiddleware,

server/routes/hexagons.py

@@ -1,8 +1,11 @@
+import math
 from functools import lru_cache
 from fastapi import APIRouter, Query, HTTPException
 import polars as pl
 import h3
 
+from tqdm import tqdm
+
 from server.config import (
     AGGREGATES_DIR,
     VALID_RESOLUTIONS,
@@ -11,6 +14,7 @@ from server.config import (
     DEFAULT_MAX_YEAR,
     DEFAULT_MIN_PRICE,
     DEFAULT_MAX_PRICE,
+    BOUNDS_BUFFER_PERCENT,
 )
 
 router = APIRouter()
@@ -19,6 +23,12 @@ router = APIRouter()
 _df_cache: dict[int, pl.DataFrame] = {}
 
 
+def preload_dataframes() -> None:
+    """Load all resolution dataframes into cache on startup."""
+    for resolution in tqdm(VALID_RESOLUTIONS, desc="Loading parquet files"):
+        get_cached_df(resolution)
+
+
 def get_cached_df(resolution: int) -> pl.DataFrame | None:
     """Get cached dataframe for resolution, loading from disk if needed."""
     if resolution not in _df_cache:
@@ -48,8 +58,8 @@ def query_hexagons_cached(
     min_price: int,
     max_price: int,
     bounds_tuple: tuple[float, float, float, float],
-) -> tuple[list[dict], bool]:
+) -> list[dict]:
-    """Cached query - returns (features, truncated)."""
+    """Cached query - returns features list."""
     south, west, north, east = bounds_tuple
 
     df = get_cached_df(resolution)
@@ -86,12 +96,6 @@ def query_hexagons_cached(
         (pl.col("avg_price") >= min_price) & (pl.col("avg_price") <= max_price)
     )
 
-    # Limit results
-    MAX_HEXAGONS = 50000
-    truncated = len(df) >= MAX_HEXAGONS
-    if truncated:
-        df = df.limit(MAX_HEXAGONS)
-
     # Build response efficiently using Polars
     df = df.select(
         [
@@ -104,7 +108,7 @@ def query_hexagons_cached(
         ]
     )
 
-    return df.to_dicts(), truncated
+    return df.to_dicts()
 
 
 @router.get("/hexagons")
@@ -135,16 +139,29 @@ async def get_hexagons(
             status_code=400, detail="Invalid bounds format. Use: south,west,north,east"
         )
 
+    # Expand bounds by buffer percentage for smoother panning
+    lat_range = north - south
+    lng_range = east - west
+    lat_buffer = lat_range * BOUNDS_BUFFER_PERCENT
+    lng_buffer = lng_range * BOUNDS_BUFFER_PERCENT
+    south -= lat_buffer
+    north += lat_buffer
+    west -= lng_buffer
+    east += lng_buffer
+
     # Round bounds to reduce cache misses (0.01 degree ≈ 1km precision)
+    # Always expand bounds (floor for min, ceil for max) to prevent hexagons
+    # popping in when crossing rounding boundaries
+    precision = 0.01
     bounds_tuple = (
-        round(south, 2),
+        math.floor(south / precision) * precision,
-        round(west, 2),
+        math.floor(west / precision) * precision,
-        round(north, 2),
+        math.ceil(north / precision) * precision,
-        round(east, 2),
+        math.ceil(east / precision) * precision,
     )
 
     # Convert prices to int for cache key hashability
-    features, truncated = query_hexagons_cached(
+    features = query_hexagons_cached(
         resolution,
         min_year,
         max_year,
@@ -153,4 +170,4 @@ async def get_hexagons(
         bounds_tuple,
     )
 
-    return {"features": features, "truncated": truncated}
+    return {"features": features}

uv.lock

@@ -1327,6 +1327,21 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ad/0d/eca3d962f9eef265f01a8e0d20085c6dd1f443cbffc11b6dede81fd82356/numpy-2.4.1-cp314-cp314t-win_arm64.whl", hash = "sha256:6436cffb4f2bf26c974344439439c95e152c9a527013f26b3577be6c2ca64295", size = 10667121, upload-time = "2026-01-10T06:44:41.644Z" },
 ]
 
+[[package]]
+name = "overturemaps"
+version = "0.18.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "click" },
+    { name = "numpy" },
+    { name = "pyarrow" },
+    { name = "shapely" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/bb/8b/0fe655d3cb35fa020f529447b9f36f6b8865b5393634e3e2c40e1f41a281/overturemaps-0.18.0.tar.gz", hash = "sha256:0f65807aec13d2e8ebdf46225a532e20cde8168853ace04a752956e802fd06b0", size = 13764, upload-time = "2025-12-08T21:23:11.402Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ab/d0/0def77066338456becee87e7686c55561d5ddf13a67360e705bfe7044e87/overturemaps-0.18.0-py3-none-any.whl", hash = "sha256:793db5be74ad48a63dc37e1877b3a48cb93ab0bef1ab3da8e772890e00467200", size = 14331, upload-time = "2025-12-08T21:23:10.536Z" },
+]
+
 [[package]]
 name = "packaging"
 version = "26.0"
@@ -1504,6 +1519,7 @@ dependencies = [
     { name = "jupyter" },
     { name = "nest-asyncio" },
     { name = "numpy" },
+    { name = "overturemaps" },
     { name = "pandas" },
     { name = "plotly" },
     { name = "polars" },
@@ -1530,6 +1546,7 @@ requires-dist = [
     { name = "jupyter", specifier = ">=1.0.0" },
     { name = "nest-asyncio", specifier = ">=1.6.0" },
     { name = "numpy", specifier = ">=1.26.0" },
+    { name = "overturemaps", specifier = ">=0.18.0" },
     { name = "pandas", specifier = ">=2.0.0" },
     { name = "plotly", specifier = ">=6.5.2" },
     { name = "polars", specifier = ">=1.37.1" },
@@ -2203,6 +2220,57 @@ wheels = [
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 ]
 
+[[package]]
+name = "shapely"
+version = "2.1.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+]
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