Optionally use pyarrow types in to_geodataframe

stac_geoparquet/stac_geoparquet.py

@@ -1,13 +1,17 @@
 """
 Generate geoparquet from a sequence of STAC items.
 """
+
 from __future__ import annotations
+import collections
 
-from typing import Sequence, Any
+from typing import Sequence, Any, Literal
+import warnings
 
 import pystac
 import geopandas
 import pandas as pd
+import pyarrow as pa
 import numpy as np
 import shapely.geometry
 
@@ -16,7 +20,7 @@
 from stac_geoparquet.utils import fix_empty_multipolygon
 
 STAC_ITEM_TYPES = ["application/json", "application/geo+json"]
-
+DTYPE_BACKEND = Literal["numpy_nullable", "pyarrow"]
 SELF_LINK_COLUMN = "self_link"
 
 
@@ -31,7 +35,10 @@ def _fix_array(v):
 
 
 def to_geodataframe(
-    items: Sequence[dict[str, Any]], add_self_link: bool = False
+    items: Sequence[dict[str, Any]],
+    add_self_link: bool = False,
+    dtype_backend: DTYPE_BACKEND | None = None,
+    datetime_precision: str = "ns",
 ) -> geopandas.GeoDataFrame:
     """
     Convert a sequence of STAC items to a :class:`geopandas.GeoDataFrame`.
@@ -42,19 +49,72 @@ def to_geodataframe(
     Parameters
     ----------
     items: A sequence of STAC items.
-    add_self_link: Add the absolute link (if available) to the source STAC Item as a separate column named "self_link"
+    add_self_link: bool, default False
+        Add the absolute link (if available) to the source STAC Item
+        as a separate column named "self_link"
+    dtype_backend: {'pyarrow', 'numpy_nullable'}, optional
+        The dtype backend to use for storing arrays.
+
+        By default, this will use 'numpy_nullable' and emit a
+        FutureWarning that the default will change to 'pyarrow' in
+        the next release.
+
+        Set to 'numpy_nullable' to silence the warning and accept the
+        old behavior.
+
+        Set to 'pyarrow' to silence the warning and accept the new behavior.
+
+        There are some difference in the output as well: with
+        ``dtype_backend="pyarrow"``, struct-like fields will explicitly
+        contain null values for fields that appear in only some of the
+        records. For example, given an ``assets`` like::
+
+            {
+                "a": {
+                    "href": "a.tif",
+                },
+                "b": {
+                    "href": "b.tif",
+                    "title": "B",
+                }
+            }
+
+        The ``assets`` field of the output for the first row with
+        ``dtype_backend="numpy_nullable"`` will be a Python dictionary with
+        just ``{"href": "a.tiff"}``.
+
+        With ``dtype_backend="pyarrow"``, this will be a pyarrow struct
+        with fields ``{"href": "a.tif", "title", None}``. pyarrow will
+        infer that the struct field ``asset.title`` is nullable.
+
+    datetime_precision: str, default "ns"
+        The precision to use for the datetime columns. For example,
+        "us" is microsecond and "ns" is nanosecond.
 
     Returns
     -------
     The converted GeoDataFrame.
     """
-    items2 = []
+    items2 = collections.defaultdict(list)
+
     for item in items:
-        item2 = {k: v for k, v in item.items() if k != "properties"}
+        keys = set(item) - {"properties", "geometry"}
+
+        for k in keys:
+            items2[k].append(item[k])
+
+        item_geometry = item["geometry"]
+        if item_geometry:
+            item_geometry = fix_empty_multipolygon(item_geometry)
+
+        items2["geometry"].append(item_geometry)
+
         for k, v in item["properties"].items():
-            if k in item2:
-                raise ValueError("k", k)
-            item2[k] = v
+            if k in item:
+                msg = f"Key '{k}' appears in both 'properties' and the top level."
+                raise ValueError(msg)
+            items2[k].append(v)
+
         if add_self_link:
             self_href = None
             for link in item["links"]:
@@ -65,23 +125,11 @@ def to_geodataframe(
                 ):
                     self_href = link["href"]
                     break
-            item2[SELF_LINK_COLUMN] = self_href
-        items2.append(item2)
-
-    # Filter out missing geoms in MultiPolygons
-    # https://github.com/shapely/shapely/issues/1407
-    # geometry = [shapely.geometry.shape(x["geometry"]) for x in items2]
-
-    geometry = []
-    for item2 in items2:
-        item_geometry = item2["geometry"]
-        if item_geometry:
-            item_geometry = fix_empty_multipolygon(item_geometry)  # type: ignore
-        geometry.append(item_geometry)
-
-    gdf = geopandas.GeoDataFrame(items2, geometry=geometry, crs="WGS84")
+            items2[SELF_LINK_COLUMN].append(self_href)
 
-    for column in [
+    # TODO: Ideally we wouldn't have to hard-code this list.
+    # Could we get it from the JSON schema.
+    DATETIME_COLUMNS = {
         "datetime",  # common metadata
         "start_datetime",
         "end_datetime",
@@ -90,9 +138,43 @@ def to_geodataframe(
         "expires",  # timestamps extension
         "published",
         "unpublished",
-    ]:
-        if column in gdf.columns:
-            gdf[column] = pd.to_datetime(gdf[column], format="ISO8601")
+    }
+
+    items2["geometry"] = geopandas.array.from_shapely(items2["geometry"])
+
+    if dtype_backend is None:
+        msg = (
+            "The default argument for 'dtype_backend' will change from "
+            "'numpy_nullable' to 'pyarrow'. To keep the previous default "
+            "specify ``dtype_backend='numpy_nullable'``. To accept the future "
+            "behavior specify ``dtype_backend='pyarrow'."
+        )
+        warnings.warn(FutureWarning(msg))
+        dtype_backend = "numpy_nullable"
+
+    if dtype_backend == "pyarrow":
+        for k, v in items2.items():
+            if k in DATETIME_COLUMNS:
+                dt = pd.to_datetime(v, format="ISO8601").as_unit(datetime_precision)
+                items2[k] = pd.arrays.ArrowExtensionArray(pa.array(dt))
+
+            elif k != "geometry":
+                items2[k] = pd.arrays.ArrowExtensionArray(pa.array(v))
+
+    elif dtype_backend == "numpy_nullable":
+        for k, v in items2.items():
+            if k in DATETIME_COLUMNS:
+                items2[k] = pd.to_datetime(v, format="ISO8601").as_unit(
+                    datetime_precision
+                )
+
+            if k in {"type", "stac_version", "id", "collection", SELF_LINK_COLUMN}:
+                items2[k] = pd.array(v, dtype="string")
+    else:
+        msg = f"Invalid 'dtype_backend={dtype_backend}'."
+        raise TypeError(msg)
+
+    gdf = geopandas.GeoDataFrame(items2, geometry="geometry", crs="WGS84")
 
     columns = [
         "type",
@@ -111,10 +193,6 @@ def to_geodataframe(
             columns.remove(col)
 
     gdf = pd.concat([gdf[columns], gdf.drop(columns=columns)], axis="columns")
-    for k in ["type", "stac_version", "id", "collection", SELF_LINK_COLUMN]:
-        if k in gdf:
-            gdf[k] = gdf[k].astype("string")
-
     return gdf
 
 
@@ -144,12 +222,16 @@ def to_dict(record: dict) -> dict:
 
         if k == SELF_LINK_COLUMN:
             continue
+        elif k == "assets":
+            item[k] = {k2: v2 for k2, v2 in v.items() if v2 is not None}
         elif k in top_level_keys:
             item[k] = v
         else:
             properties[k] = v
 
-    item["geometry"] = shapely.geometry.mapping(item["geometry"])
+    if item["geometry"]:
+        item["geometry"] = shapely.geometry.mapping(item["geometry"])
+
     item["properties"] = properties
 
     return item
@@ -175,6 +257,11 @@ def to_item_collection(df: geopandas.GeoDataFrame) -> pystac.ItemCollection:
         include=["datetime64[ns, UTC]", "datetime64[ns]"]
     ).columns
     for k in datelike:
+        # %f isn't implemented in pyarrow
+        # https://github.com/apache/arrow/issues/20146
+        if isinstance(df2[k].dtype, pd.ArrowDtype):
+            df2[k] = df2[k].astype("datetime64[ns, utc]")
+
         df2[k] = (
             df2[k].dt.strftime("%Y-%m-%dT%H:%M:%S.%fZ").fillna("").replace({"": None})
         )

stac_geoparquet/utils.py

@@ -8,23 +8,27 @@
 
 
 @functools.singledispatch
-def assert_equal(result: Any, expected: Any) -> bool:
+def assert_equal(result: Any, expected: Any, ignore_none: bool = False) -> bool:
     raise TypeError(f"Invalid type {type(result)}")
 
 
 @assert_equal.register(pystac.ItemCollection)
 def assert_equal_ic(
-    result: pystac.ItemCollection, expected: pystac.ItemCollection
+    result: pystac.ItemCollection,
+    expected: pystac.ItemCollection,
+    ignore_none: bool = False,
 ) -> None:
     assert type(result) == type(expected)
     assert len(result) == len(expected)
     assert result.extra_fields == expected.extra_fields
     for a, b in zip(result.items, expected.items):
-        assert_equal(a, b)
+        assert_equal(a, b, ignore_none=ignore_none)
 
 
 @assert_equal.register(pystac.Item)
-def assert_equal_item(result: pystac.Item, expected: pystac.Item) -> None:
+def assert_equal_item(
+    result: pystac.Item, expected: pystac.Item, ignore_none: bool = False
+) -> None:
     assert type(result) == type(expected)
     assert result.id == expected.id
     assert shapely.geometry.shape(result.geometry) == shapely.geometry.shape(
@@ -41,20 +45,44 @@ def assert_equal_item(result: pystac.Item, expected: pystac.Item) -> None:
     expected_links = sorted(expected.links, key=lambda x: x.href)
     assert len(result_links) == len(expected_links)
     for a, b in zip(result_links, expected_links):
-        assert_equal(a, b)
+        assert_equal(a, b, ignore_none=ignore_none)
 
     assert set(result.assets) == set(expected.assets)
     for k in result.assets:
-        assert_equal(result.assets[k], expected.assets[k])
+        assert_equal(result.assets[k], expected.assets[k], ignore_none=ignore_none)
 
 
 @assert_equal.register(pystac.Link)
 @assert_equal.register(pystac.Asset)
 def assert_link_equal(
-    result: pystac.Link | pystac.Asset, expected: pystac.Link | pystac.Asset
+    result: pystac.Link | pystac.Asset,
+    expected: pystac.Link | pystac.Asset,
+    ignore_none: bool = False,
 ) -> None:
     assert type(result) == type(expected)
-    assert result.to_dict() == expected.to_dict()
+    resultd = result.to_dict()
+    expectedd = expected.to_dict()
+
+    left = {}
+
+    if ignore_none:
+        for k, v in resultd.items():
+            if v is None and k not in expectedd:
+                pass
+            elif isinstance(v, list) and k in expectedd:
+                out = []
+                for val in v:
+                    if isinstance(val, dict):
+                        out.append({k: v2 for k, v2 in val.items() if v2 is not None})
+                    else:
+                        out.append(val)
+                left[k] = out
+            else:
+                left[k] = v
+    else:
+        left = resultd
+
+    assert left == expectedd
 
 
 def fix_empty_multipolygon(

tests/test_pgstac_reader.py

@@ -113,7 +113,7 @@ def test_naip_item():
         expected.remove_links(rel=pystac.RelType.SELF)
         result.remove_links(rel=pystac.RelType.SELF)
 
-    assert_equal(result, expected)
+    assert_equal(result, expected, ignore_none=True)
 
 
 def test_sentinel2_l2a():
@@ -139,7 +139,7 @@ def test_sentinel2_l2a():
         result.remove_links(rel=pystac.RelType.SELF)
 
     expected.remove_links(rel=pystac.RelType.LICENSE)
-    assert_equal(result, expected)
+    assert_equal(result, expected, ignore_none=True)
 
 
 def test_generate_endpoints():