From ec8d8dee3db668ae4233758bf55026396918c200 Mon Sep 17 00:00:00 2001
From: Kyle Barron <kyle@developmentseed.org>
Date: Tue, 26 Sep 2023 15:25:41 -0400
Subject: [PATCH] stac from arrow

---
 stac_geoparquet/stac_arrow.py | 76 +++++++++++++++++++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 stac_geoparquet/stac_arrow.py

diff --git a/stac_geoparquet/stac_arrow.py b/stac_geoparquet/stac_arrow.py
new file mode 100644
index 0000000..9f8912f
--- /dev/null
+++ b/stac_geoparquet/stac_arrow.py
@@ -0,0 +1,76 @@
+from typing import IO, Sequence, Any, Union
+
+import pystac
+import geopandas
+import pyarrow.compute
+import pandas as pd
+import numpy as np
+import pyarrow as pa
+from tempfile import NamedTemporaryFile
+import json
+import pyarrow.json
+import shapely.geometry
+
+
+def _stac_ndjson_to_arrow(path: Union[str, IO[bytes]]) -> pa.Table:
+    """Parse a newline-delimited JSON file to Arrow
+
+    Args:
+        path: The path or opened file object (in binary mode) with newline-delimited
+            JSON data.
+
+    Returns:
+        pyarrow table matching on-disk schema
+    """
+    table = pa.json.read_json(path)
+    return table
+
+
+def _stac_items_to_arrow(items: Sequence[dict[str, Any]]) -> pa.Table:
+    """Convert dicts representing STAC Items to Arrow
+
+    First writes a tempfile with newline-delimited JSON data, then uses the pyarrow JSON
+    parser to load into memory.
+
+    Args:
+        items: _description_
+
+    Returns:
+        _description_
+    """
+    with NamedTemporaryFile("w+b", suffix=".json") as f:
+        for item in items:
+            f.write(json.dumps(item, separators=(",", ":")).encode("utf-8"))
+            f.write("\n".encode("utf-8"))
+
+        return _stac_ndjson_to_arrow(f)
+
+
+def bring_properties_to_top_level(table: pa.Table) -> pa.Table:
+    properties_field = table.schema.field("properties")
+    properties_column = table["properties"]
+
+    for field_idx in range(properties_field.type.num_fields):
+        inner_prop_field = properties_field.type.field(field_idx)
+        table = table.append_column(
+            inner_prop_field, pa.compute.struct_field(properties_column, field_idx)
+        )
+
+    table = table.drop("properties")
+    return table
+
+
+def convert_geometry_to_wkb(table: pa.Table) -> pa.Table:
+    """Convert the geometry column in the table to WKB"""
+    geoms = shapely.from_geojson(
+        [json.dumps(item) for item in table["geometry"].to_pylist()]
+    )
+    wkb_geoms = shapely.to_wkb(geoms)
+    return table.drop("geometry").append_column("geometry", pa.array(wkb_geoms))
+
+
+# path = "/Users/kyle/tmp/sentinel-stac/combined.jsonl"
+# table = _stac_ndjson_to_arrow(path)
+# table2 = bring_properties_to_top_level(table)
+
+# table2["geometry"]