agrigee_lite_client
Thin HTTP client for the agrigee_lite[api] server. Doesn't
install Earth Engine, GDAL/PROJ, or DuckDB — it only knows how to build a
request, upload/download bytes, and talk to /jobs. See
SPECS.md for the full design and the reasoning behind it.
Install
pip install agrigee_lite_client
One fixed dependency set, always — geopolars, shapely, and httpx.
There's no install variation (no [async], [shapely], etc. extras): the
same install already covers both sync and async use.
Quickstart — sync
from agrigee_lite_client import AgriGEEClient
from shapely.geometry import Polygon
geometry = Polygon([(-56.42, -11.20), (-56.41, -11.20), (-56.41, -11.19)])
with AgriGEEClient("http://192.168.3.204:8100") as client:
# a single geometry — naive: internally becomes a 1-row multiple_sits
df = client.get.sits(geometry, "2023-01-01", "2023-06-01", satellite="Sentinel2")
# multiple geometries — uploads a GeoParquet, polls the job, downloads the result parquet
import polars as pl
from agrigee_lite_client._geoparquet import encode_geometries
gdf = pl.DataFrame({
"start_date": ["2023-01-01", "2023-01-01"],
"end_date": ["2023-06-01", "2023-06-01"],
"geometry": encode_geometries([geometry, geometry]),
})
df = client.get.multiple_sits(gdf, satellite="Sentinel2", reducers=["mean", "std"])
# geopandas.GeoDataFrame also works (geopandas is optional — only
# imported if you actually pass one; it's not installed alongside the client)
import geopandas as gpd
gdf_geopandas = gpd.GeoDataFrame(
{"start_date": ["2023-01-01"], "end_date": ["2023-06-01"]},
geometry=[geometry],
crs="EPSG:4326",
)
df = client.get.multiple_sits(gdf_geopandas, satellite="Sentinel2")
# image — returns an in-memory zipfile.ZipFile, nothing decoded
zf = client.get.image(geometry, "2023-01-01", "2023-06-01", satellite="Sentinel2")
zf.extractall("out/")
Quickstart — async
Same surface, AsyncAgriGEEClient:
import asyncio
from agrigee_lite_client import AsyncAgriGEEClient
async def main():
async with AsyncAgriGEEClient("http://192.168.3.204:8100") as client:
df = await client.get.sits(geometry, "2023-01-01", "2023-06-01", satellite="Sentinel2")
asyncio.run(main())
Validation before anything leaves your machine
sits()/multiple_sits() check that the requested dates actually intersect
the satellite's operating period — the same check the server does — and
drop (with a warning) rows that don't, raising ValueError if none are
left. All of this happens before building the GeoParquet or opening a
connection, using a static table embedded in the client (no network call).
An unknown satellite name is also caught here (AgriGEEUnknownSatelliteError).
Since that table is a copy of what the server knows, the client checks that
it's running against the same server version (via GET /version) before
trusting it — a mismatch raises AgriGEEVersionMismatchError instead of
validating against possibly stale data.
What this client does NOT do (on purpose)
- No CRS reprojection — input geometries must be in WGS84 (EPSG:4326 /
OGC:CRS84). If you pass a
geopandas.GeoDataFramewith a different CRS, the client rejects it with a clear error instead of reprojecting. - No local caching, no sophisticated retry/backoff — the cache already lives
on the server; the only "retry" here is
httpx's transport timeout and a simple poll loop againstGET /jobs/{id}. - No image decoding —
get.image(...)returns a rawzipfile.ZipFile, nonumpy/tifffile/rasterio. get.sits(...)isn't a separate fast path: it's sugar overget.multiple_sits(...)with a single row, so it pays the job+poll+ download cost even for one geometry. SeeSPECS.md §6.
Versioning
This package's version always matches agrigee_lite's (the server), same
commit — they aren't versioned independently. A test
(tests/test_version_matches_server.py) enforces this in CI.
Development
cd agrigee_lite_client
pip install -e ".[dev]"
pytest
ruff check .
tests/test_client_against_live_api.py only runs if AGRIGEE_TEST_API_URL
is set — the rest (test_client_mocked.py, test_async_client_mocked.py)
use httpx.MockTransport and need no network.
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