geoarrow-python
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geoarrow
ValueError: Can't create `geoarrow.types.Crs` from 4326
This might be expected if geoarrow-types hasn't yet updated to the latest support for non-projjson CRS representations in 0.2?
If it's not expected, I can create a more detailed repro. I don't have an easy repro here because passing a crs argument to geoarrow-rust will automatically use pyproj to convert to PROJJSON. In geodatafusion I'm assigning a CRS with SRID 4326 when calling ST_Point(x, y, 4326). You can see my SQL call here: https://github.com/developmentseed/lonboard/blob/751f1a1a3d35d078758f51c4ef422e04dd45bd01/examples/nyc_taxi_trips.py#L137-L138
Traceback (most recent call last):
File "/Users/kyle/.cache/uv/archive-v0/N2xYiaCnXio3dQ-xoXvod/lib/python3.12/site-packages/marimo/_output/formatting.py", line 231, in try_format
mimetype, data = formatter(obj)
^^^^^^^^^^^^^^
File "/Users/kyle/.cache/uv/archive-v0/N2xYiaCnXio3dQ-xoXvod/lib/python3.12/site-packages/marimo/_output/formatters/repr_formatters.py", line 107, in f_repr
contents = method()
^^^^^^^^
File "/Users/kyle/.cache/uv/archive-v0/N2xYiaCnXio3dQ-xoXvod/lib/python3.12/site-packages/datafusion/dataframe.py", line 327, in _repr_html_
return self.df._repr_html_()
^^^^^^^^^^^^^^^^^^^^^
File "/Users/kyle/.cache/uv/archive-v0/N2xYiaCnXio3dQ-xoXvod/lib/python3.12/site-packages/datafusion/dataframe_formatter.py", line 303, in format_html
html.extend(self._build_table_header(schema))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/kyle/.cache/uv/archive-v0/N2xYiaCnXio3dQ-xoXvod/lib/python3.12/site-packages/datafusion/dataframe_formatter.py", line 379, in _build_table_header
for field in schema:
^^^^^^
File "pyarrow/types.pxi", line 2907, in __iter__
File "pyarrow/types.pxi", line 2903, in pyarrow.lib.Schema.__getitem__
File "pyarrow/types.pxi", line 3209, in pyarrow.lib.Schema._field
File "pyarrow/public-api.pxi", line 185, in pyarrow.lib.pyarrow_wrap_field
File "pyarrow/types.pxi", line 2495, in pyarrow.lib.Field.init
File "pyarrow/public-api.pxi", line 129, in pyarrow.lib.pyarrow_wrap_data_type
File "/Users/kyle/.cache/uv/archive-v0/N2xYiaCnXio3dQ-xoXvod/lib/python3.12/site-packages/geoarrow/types/type_pyarrow.py", line 62, in __arrow_ext_deserialize__
return _deserialize_storage(
^^^^^^^^^^^^^^^^^^^^^
File "/Users/kyle/.cache/uv/archive-v0/N2xYiaCnXio3dQ-xoXvod/lib/python3.12/site-packages/geoarrow/types/type_pyarrow.py", line 619, in _deserialize_storage
spec = TypeSpec.from_extension_metadata(extension_metadata).with_defaults(spec)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/kyle/.cache/uv/archive-v0/N2xYiaCnXio3dQ-xoXvod/lib/python3.12/site-packages/geoarrow/types/type_spec.py", line 275, in from_extension_metadata
out_crs = crs.create(metadata["crs"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/kyle/.cache/uv/archive-v0/N2xYiaCnXio3dQ-xoXvod/lib/python3.12/site-packages/geoarrow/types/crs.py", line 322, in create
raise ValueError(f"Can't create geoarrow.types.Crs from {obj}")
ValueError: Can't create geoarrow.types.Crs from 4326
Thanks! That should definitely work.
In SedonaDB we prefix it with EPSG:4326 (i.e., we only support SRIDs that are EPSG codes, and we make that assumption explicit in the scalar function implementation rather than assume something downstream will interpret it correctly). We also have ST_Crs() and ST_SetCrs() to make it a bit easier to work with non EPSG things.
Hmm, perhaps I should assume that input is always EPSG and assign the CRS as such.
Then I would have:
{"crs_type": "authority_code", "crs": "EPSG:4326"}
I believe currently I'm creating
{"crs_type": "srid", "crs": "4326"}
I can verify this. But is this representation invalid? In terms of the spec there's not much validation around what the crs string should be formatted like here.
Yes, I think that was on purpose (on my part, anyway), to force that assumption to be made explicit. It was added to ensure that when we passed on SRIDs from other specifications where this wasn't explicit (cough, Parquet), we didn't insert any assumptions.
Yes
You're saying yes that is invalid? In the spec or in your implementation, or both?
Is there some spec text we can change to clarify this?
I think that was on purpose (on my part, anyway), to force that assumption to be made explicit. It was added to ensure that when we passed on SRIDs from other specifications where this wasn't explicit (cough, Parquet), we didn't insert any assumptions.
So you're saying we should essentially always use authority_code and EPSG:4326, and essentially never use srid?
Sorry!
- Your example code at the top shouldn't cause that error...any "string" should be propagated by geoarrow-python without erroring. Any "string" is also valid with respect to the spec, although obviously if you put in random stuff it's unlikely to be recognized correctly elsewhere.
- Yes, the specification doesn't say anything about what an SRID is or is not. I think this is the right "spec" language.
- I think for the purposes of your functions, when somebody types ST_SetSRID(geom, 1234), you should set the CRS to
"EPSG:1234"(i.e., resolve and document that assumption in your function rather than assume on an interpretation somewhere else).
Ok, thanks! That's good info.
I'm still trying to ascertain if there's any bug here in geoarrow-types.
crs.create("4326") # StringCrs(4326)
crs.create(4326) # ValueError: Can't create geoarrow.types.Crs from 4326
Perhaps I'm incorrectly saving it as an integer 👀
Ahh! That would make sense. geoarrow-types should still probably handle that even though it's theoreetically out of spec.
Hmm
https://github.com/datafusion-contrib/datafusion-geo/blob/171bdaf31069efe618371249e051e5b8eaa109d1/rust/geodatafusion/src/udf/native/constructors/point.rs#L80-L81 https://github.com/geoarrow/geoarrow-rs/blob/338a08cd2f5f2b35df36453ec3ad6ef031dfb702/rust/geoarrow-schema/src/crs.rs#L101-L107
I sure thought I was saving it as a string.
This crashes the interpreter when trying to access the table schema. (Run with uv run script.py)
# /// script
# requires-python = ">=3.10"
# dependencies = [
# "arro3-core",
# "geoarrow-types",
# "geodatafusion==0.1.1",
# "pyarrow",
# ]
# ///
from __future__ import annotations
import pyarrow as pa
from datafusion import SessionContext
from geoarrow.types.type_pyarrow import register_extension_types
from geodatafusion import register_all
register_extension_types()
ctx = SessionContext()
register_all(ctx)
sql = "SELECT ST_Point(0, 1, 4326) as geom"
df = ctx.sql(sql)
print("converting to pyarrow table")
table = pa.table(df)
print("finished converting to pyarrow table")
print("printing schema:")
print(table.schema)
print("finished printing schema")
But this works just fine when I load it into arro3:
# /// script
# requires-python = ">=3.10"
# dependencies = [
# "arro3-core",
# "geoarrow-types",
# "geodatafusion==0.1.1",
# "pyarrow",
# ]
# ///
from __future__ import annotations
from arro3.core import Table
from datafusion import SessionContext
from geodatafusion import register_all
ctx = SessionContext()
register_all(ctx)
sql = "SELECT ST_Point(0, 1, 4326) as geom"
df = ctx.sql(sql)
print("converting to pyarrow table")
table = Table(df)
print("finished converting to pyarrow table")
print("printing schema:")
print(table.schema)
print("finished printing schema")
print("printing field metadata")
print(table.schema.field(0).metadata_str)
Run with uv run script.py I see:
> uv run geodatafusion_pyarrow_test.py
converting to pyarrow table
finished converting to pyarrow table
printing schema:
arro3.core.Schema
------------
geom: Struct(x Float64, y Float64)
finished printing schema
printing field metadata
{'ARROW:extension:metadata': '{"crs":"4326","crs_type":"srid"}', 'ARROW:extension:name': 'geoarrow.point'}
Is the issue that it should be
{'ARROW:extension:metadata': {"crs":"4326","crs_type":"srid"}, 'ARROW:extension:name': 'geoarrow.point'}
without encoding the JSON as a string?
But the spec says
When GeoArrow-encoded Arrays have the
ARROW:extension:metadatametadata field set, it must be serialized as a UTF-8 encoded JSON object
I think you're doing the right thing here...I bet something funny is going on somewhere you're not in control of (hopefully not geoarrow-c, since theoretically that shouldn't be in play here). With that script I can probably get a backtrace (if the crash is happening in geoarrow-c or pyarrow).
This is happening just with geoarrow-types, where geoarrow-c isn't even a dependency I don't think?
Just verified it's not. uv lock --script script.py; cat script.py.lock gives the following, and no geoarrow-c
version = 1
revision = 3
requires-python = ">=3.10"
[manifest]
requirements = [
{ name = "arro3-core" },
{ name = "geoarrow-types" },
{ name = "geodatafusion", specifier = "==0.1.1" },
{ name = "pyarrow" },
]
[[package]]
name = "arro3-core"
version = "0.6.3"
source = { registry = "https://pypi.org/simple" }
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{ name = "typing-extensions", marker = "python_full_version < '3.12'" },
]
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