Remove dependency breaking PyPI upload (pypi/warehouse#7136); Raise error about manually installing

Author: tom-andersson

CITATION.cff

@@ -38,5 +38,5 @@ keywords:
   - neural processes
   - active learning
 license: MIT
-version: 0.3.3
+version: 0.3.4
 date-released: '2023-11-07'

README.md

@@ -11,7 +11,7 @@ data with neural processes</p>
 
 -----------
 
-[![release](https://img.shields.io/badge/release-v0.3.3-green?logo=github)](https://github.com/tom-andersson/deepsensor/releases)
+[![release](https://img.shields.io/badge/release-v0.3.4-green?logo=github)](https://github.com/tom-andersson/deepsensor/releases)
 [![Latest Docs](https://img.shields.io/badge/docs-latest-blue.svg)](https://tom-andersson.github.io/deepsensor/)
 ![Tests](https://github.com/tom-andersson/deepsensor/actions/workflows/tests.yml/badge.svg)
 [![Coverage Status](https://coveralls.io/repos/github/tom-andersson/deepsensor/badge.svg?branch=main)](https://coveralls.io/github/tom-andersson/deepsensor?branch=main)

deepsensor/data/sources.py

@@ -2,7 +2,6 @@
 
 from deepsensor.plot import extent_str_to_tuple
 
-from get_station_data import ghcnd
 import urllib.request
 import multiprocessing
 from functools import partial
@@ -31,6 +30,11 @@ def get_ghcnd_station_data(
     into a pandas DataFrame.
     Source: https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily
 
+    .. note::
+        Requires the `scotthosking/get-station-data` repository to be installed
+        manually in your Python environment with:
+        `pip install git+https://github.com/scott-hosking/get-station-data.git`
+
     .. note::
         Example key variable IDs:
         - ``"TAVG"``: Average temperature (degrees Celsius)
@@ -78,6 +82,12 @@ def get_ghcnd_station_data(
             Station data with indexes ``time``, ``lat``, ``lon``, ``station`` and columns
             ``var1``, ``var2``, etc.
     """
+    try:
+        from get_station_data import ghcnd
+    except ImportError:
+        raise ImportError(
+            "Must manually pip-install get-station-data with: `pip install git+https://github.com/scott-hosking/get-station-data.git`"
+        )
     if not cache:
         cache_dir = None
     memory = Memory(cache_dir, verbose=0)
@@ -301,7 +311,7 @@ def _get_era5_reanalysis_data_parallel(
     extent="global",
     cache=False,
     cache_dir=".datacache",
-):
+):  # pragma: no cover
     """
     Helper function for downloading ERA5 data in parallel with caching.
 
@@ -359,7 +369,7 @@ def get_gldas_land_mask(
     verbose: bool = False,
     cache: bool = False,
     cache_dir: str = ".datacache",
-) -> xr.DataArray:
+) -> xr.DataArray:  # pragma: no cover
     """
     Get GLDAS land mask at 0.25 degree resolution.
     Source: https://ldas.gsfc.nasa.gov/gldas/vegetation-class-mask
@@ -439,7 +449,7 @@ def get_earthenv_auxiliary_data(
     verbose: bool = False,
     cache: bool = False,
     cache_dir: str = ".datacache",
-) -> xr.Dataset:
+) -> xr.Dataset:  # pragma: no cover
     """
     Download global static auxiliary data from EarthEnv into an xarray DataArray.
     See: https://www.earthenv.org/topography
@@ -558,7 +568,7 @@ def _get_auxiliary_data_cached(
     return _get_auxiliary_data_cached(var_IDs, extent, resolution, verbose)
 
 
-if __name__ == "__main__":
+if __name__ == "__main__":  # pragma: no cover
     # Using the same settings allows use to use pre-downloaded cached data
     data_range = ("2015-06-25", "2015-06-30")
     extent = "europe"

setup.cfg

@@ -1,6 +1,6 @@
 [metadata]
 name = deepsensor
-version = 0.3.3
+version = 0.3.4
 author = Tom R. Andersson
 author_email = [email protected]
 description = A Python package for modelling xarray and pandas data with neural processes.
@@ -37,7 +37,6 @@ install_requires =
     pooch
     gcsfs
     zarr
-    get-station-data @ git+ssh://[email protected]/scotthosking/get-station-data.git
 
 [options.extras_require]
 testing =