dopecarpet/slice.py

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Python
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2025-02-26 10:53:07 +00:00
import argparse
import duckdb
import geohash
import geopandas as gpd
import pandas as pd
import pyarrow.parquet as pq
import pyarrow as pa
from pathlib import Path
from shapely import wkb
from typing import List, Dict
def get_geohashes_from_bbox(min_x, min_y, max_x, max_y) -> List[str]:
"""Generates all 4-character Geohashes that intersect a bounding box."""
geohashes = set()
step_size = 0.25 # 4-character Geohash grid size
lat = min_y
while lat <= max_y:
lon = min_x
while lon <= max_x:
gh = geohash.encode(lat, lon, precision=4)
geohashes.add(gh)
lon += step_size
lat += step_size
return sorted(geohashes)
def append_to_parquet(file_path: Path, new_data: gpd.GeoDataFrame):
"""Appends new data to an existing Parquet file while ensuring correct merging."""
if file_path.exists():
try:
# ✅ Load existing data
existing_data = gpd.read_parquet(file_path)
# ✅ Merge with new data
combined_data = pd.concat([existing_data, new_data], ignore_index=True)
# ✅ Drop duplicates *only if feature_id exists*
if "feature_id" in combined_data.columns:
combined_data = combined_data.drop_duplicates(subset="feature_id", keep="last")
# ✅ Reset index before saving
combined_data = combined_data.reset_index(drop=True)
# ✅ Save back to the same file
combined_data.to_parquet(file_path, index=False)
print(f"✅ Appended new data to {file_path}")
except Exception as e:
print(f"❌ Error while merging {file_path}: {e}")
else:
# If the file doesn't exist, create it
new_data.to_parquet(file_path, index=False)
print(f"✅ Created new file: {file_path}")
def slice_and_split_geoparquet(input_file: str, output_dir: str):
"""
Splits the GeoParquet file into multiple files based on 4-character Geohash boxes.
Appends new data to existing Geohash Parquet files while preventing duplicate geometries.
"""
input_path, output_path = Path(input_file), Path(output_dir)
if not input_path.exists():
raise FileNotFoundError(f"File '{input_file}' not found.")
output_path.mkdir(parents=True, exist_ok=True)
print(f"📂 Processing '{input_file}', output will be saved in '{output_dir}'...")
con = duckdb.connect()
con.execute("INSTALL spatial; LOAD spatial;")
# Create a temporary table of all non POINT geometries
con.execute(f"CREATE TEMP TABLE geoparquet AS SELECT * FROM read_parquet('{input_path}') WHERE ST_GeometryType(geometry) IS NOT NULL AND ST_GeometryType(geometry) != 'POINT'")
# Compute bounding box for each geometry
bbox_results = con.execute("""
SELECT feature_id, rowid, ST_XMin(ST_Envelope(geometry)), ST_YMin(ST_Envelope(geometry)),
ST_XMax(ST_Envelope(geometry)), ST_YMax(ST_Envelope(geometry))
FROM geoparquet;
""").fetchall()
# Compute all intersecting geohashes
geohash_mapping: Dict[str, List[int]] = {}
for feature_id, rowid, min_x, min_y, max_x, max_y in bbox_results:
intersecting_geohashes = get_geohashes_from_bbox(min_x, min_y, max_x, max_y)
for geohash_code in intersecting_geohashes:
if geohash_code not in geohash_mapping:
geohash_mapping[geohash_code] = []
geohash_mapping[geohash_code].append(rowid)
# Dictionary to store in-memory results before writing
geohash_data: Dict[str, gpd.GeoDataFrame] = {}
for geohash_code, rowids in geohash_mapping.items():
geohash_bbox = geohash.bbox(geohash_code)
# Clip geometries inside this geohash box
filtered_data = con.execute(f"""
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SELECT feature_id, tags,
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ST_AsWKB(ST_Intersection(geometry,
ST_MakeEnvelope({geohash_bbox["w"]}, {geohash_bbox["s"]},
{geohash_bbox["e"]}, {geohash_bbox["n"]})))
AS clipped_geom
FROM geoparquet
WHERE rowid IN ({','.join(map(str, rowids))})
AND ST_Intersects(geometry,
ST_MakeEnvelope({geohash_bbox["w"]}, {geohash_bbox["s"]},
{geohash_bbox["e"]}, {geohash_bbox["n"]}));
""").fetchdf()
if not filtered_data.empty:
# ✅ Remove non-WKB values
filtered_data = filtered_data[filtered_data["clipped_geom"].apply(lambda x: isinstance(x, (bytes, bytearray)))]
if not filtered_data.empty:
# ✅ Convert WKB to Shapely geometries safely
filtered_data["geometry"] = filtered_data["clipped_geom"].apply(
lambda x: wkb.loads(bytes(x)) if isinstance(x, (bytes, bytearray)) else None
)
filtered_data.drop(columns=["clipped_geom"], inplace=True)
# Remove rows where geometry conversion failed
filtered_data = filtered_data.dropna(subset=["geometry"])
if not filtered_data.empty:
# Convert to GeoPandas GeoDataFrame
gdf = gpd.GeoDataFrame(filtered_data, geometry="geometry", crs="EPSG:4326")
# Store in memory
geohash_data[geohash_code] = gdf
# Step 4: Write each geohash's data **only once** and prevent duplicates
for geohash_code, gdf in geohash_data.items():
geohash_file = output_path / f"{geohash_code}.parquet"
append_to_parquet(geohash_file, gdf)
print(f"✅ Updated: {geohash_file}")
con.close()
print("🎉 Processing complete!")
def main():
parser = argparse.ArgumentParser(description="Split a GeoParquet file into Geohash tiles.")
parser.add_argument("-i", "--input", required=True, help="Path to the input GeoParquet file.")
parser.add_argument("-o", "--output", required=True, help="Directory to save output Geohash tiles.")
args = parser.parse_args()
try:
slice_and_split_geoparquet(args.input, args.output)
except Exception as e:
print(f"❌ Error: {e}")
if __name__ == "__main__":
main()