Testing data fetching via pooch

.pre-commit-config.yaml

@@ -47,6 +47,11 @@ repos:
       - id: flake8
         additional_dependencies: [ 'flake8-alphabetize', 'flake8-rst-docstrings' ]
         args: [ '--config=.flake8' ]
+  - repo: https://github.com/numpy/numpydoc
+    rev: v1.6.0
+    hooks:
+      - id: numpydoc-validation
+        exclude: 'tests|docs/conf.py'
   - repo: https://github.com/keewis/blackdoc
     rev: v0.3.9
     hooks:

CHANGES.rst

@@ -10,6 +10,20 @@ Contributors to this version: Trevor James Smith (:user:`Zeitsperre`), Thomas-Ch
 New features and enhancements
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 * Added French language support to the documentation. (:issue:`53`, :pull:`55`).
+* Added a new set of functions to support creating and updating `pooch` registries, caching testing datasets from `hydrologie/xhydro-testdata`, and ensuring that testing datasets can be loaded into temporary directories.
+* `xhydro` is now configured to use `pooch` to download and cache testing datasets from `hydrologie/xhydro-testdata`. (:pull:`62`).
+
+Breaking changes
+^^^^^^^^^^^^^^^^
+* Added `pooch` as an installation dependency. (:pull:`62`).
+
+Internal changes
+^^^^^^^^^^^^^^^^
+* Added a new module for testing purposes: `xhydro.testing.helpers` with some new functions. (:pull:`62`):
+    * `generate_registry`: Parses data found in package (`xhydro.testing.data`), and adds it to the `registry.txt`
+    * `load_registry`: Loads installed (or custom) registry and returns dictionary
+    * `populate_testing_data`: Fetches the registry and optionally caches files at a different location (helpful for `pytest-xdist`).
+* Added a `pre-commit` hook (`numpydoc`) to ensure that `numpy` docstrings are formatted correctly. (:pull:`62`).
 
 v0.3.0 (2023-12-01)
 -------------------

CONTRIBUTING.rst

@@ -106,6 +106,14 @@ Ready to contribute? Here's how to set up ``xhydro`` for local development.
     # Or, to run multiple build tests
     $ tox
 
+    .. note::
+
+        Running `pytest` or `tox` will automatically fetch and cache the testing data for the package to your local cache (using the `platformdirs` library). On Linux, this is located at ``XDG_CACHE_HOME`` (usually ``~/.cache``). On Windows, this is located at ``%LOCALAPPDATA%`` (usually ``C:\Users\username\AppData\Local``). On MacOS, this is located at ``~/Library/Caches``.
+
+        If for some reason you wish to cache this data elsewhere, you can set the ``XHYDRO_DATA_DIR`` environment variable to a different location before running the tests. For example, to cache the data in the current working directory, run::
+
+            $ export XHYDRO_DATA_DIR=$(pwd)/.cache
+
 #. Commit your changes and push your branch to GitHub::
 
     $ git add .
@@ -134,6 +142,12 @@ Ready to contribute? Here's how to set up ``xhydro`` for local development.
 
 You will have contributed your first changes to ``xhydro``!
 
+.. warning::
+
+    If your Pull Request relies on modifications to the testing data of `xhydro`, you will need to update the testing data repository as well. As a preliminary testing measure, the branch of the testing data can be modified at testing time (from `main`) by setting the ``XHYDRO_TESTDATA_BRANCH`` environment variable to the branch name of the ``xhydro-testdata`` repository.
+
+    Be sure to consult the ReadMe found at https://github.com/hydrologie/xhydro-testdata as well.
+
 Pull Request Guidelines
 -----------------------
 

environment-dev.yml

@@ -6,6 +6,8 @@ dependencies:
   # Don't forget to sync changes between environment.yml, environment-dev.yml, and pyproject.toml!
   # Main packages
   - numpy
+  - pooch >=1.8.0
+  - pydantic >=2.0,<2.5.3  # FIXME: Remove pin once our dependencies (xclim, xscen) support pydantic 2.5.3
   - statsmodels
   - xarray
   - xclim >=0.45.0

environment.yml

@@ -6,6 +6,8 @@ dependencies:
   # Don't forget to sync changes between environment.yml, environment-dev.yml, and pyproject.toml!
   # Main packages
   - numpy
+  - pooch >=1.8.0\
+  - pydantic >=2.0,<2.5.3
   - statsmodels
   - xarray
   - xclim >=0.45.0

pyproject.toml

@@ -37,6 +37,8 @@ dynamic = ["description", "version"]
 dependencies = [
   # Don't forget to sync changes between environment.yml, environment-dev.yml, and pyproject.toml!
   "numpy",
+  "pooch>=1.8.0",
+  "pydantic>=2.0,<2.5.3",
   "statsmodels",
   "xarray",
   "xclim>=0.45.0",
@@ -146,7 +148,8 @@ include = [
   "docs/make.bat",
   "tests/*.py",
   "tox.ini",
-  "xhydro"
+  "xhydro",
+  "xhydro/testing/registry.txt"
 ]
 exclude = [
   "*.py[co]",
@@ -161,7 +164,8 @@ exclude = [
   "Makefile",
   "docs/_*",
   "docs/apidoc/modules.rst",
-  "docs/apidoc/xhydro*.rst"
+  "docs/apidoc/xhydro*.rst",
+  "xhydro/testing/data/*"
 ]
 
 [tool.isort]
@@ -178,6 +182,22 @@ warn_unused_configs = true
 module = []
 ignore_missing_imports = true
 
+[tool.numpydoc_validation]
+checks = [
+  "all", # report on all checks, except the below
+  "ES01",
+  "EX01",
+  "GL01",
+  "SA01"
+]
+exclude = [
+  # don't report on objects that match any of these regex
+  '\.undocumented_method$',
+  '\.__repr__$',
+  # any object starting with an underscore is a private object
+  '\._\w+'
+]
+
 [tool.pytest.ini_options]
 addopts = [
   "--verbose",

tox.ini

@@ -40,6 +40,7 @@ setenv =
     PYTHONPATH = {toxinidir}
 passenv =
     CI
+    ESMFMKFILE
     COVERALLS_*
     GITHUB_*
 extras =

xhydro/cc.py

@@ -1,4 +1,5 @@
 """Module to compute climate change statistics using xscen functions."""
+import xarray
 
 # Special imports from xscen
 from xscen import (  # FIXME: To be replaced with climatological_op once available
@@ -17,8 +18,20 @@
 
 
 # FIXME: To be deleted once climatological_op is available in xscen
-def climatological_op(ds, **kwargs):
-    """Compute climatological operation.
+def climatological_op(ds: xarray.Dataset, **kwargs: dict) -> xarray.Dataset:
+    r"""Compute climatological operation.
+
+    Parameters
+    ----------
+    ds : xarray.Dataset
+        Input dataset.
+    \*\*kwargs : dict
+        Keyword arguments passed to :py:func:`xscen.aggregate.climatological_mean`.
+
+    Returns
+    -------
+    xarray.Dataset
+        Output dataset.
 
     Notes
     -----

xhydro/indicators.py

@@ -64,36 +64,37 @@ def get_yearly_op(
     missing_options: Optional[dict] = None,
     interpolate_na: bool = False,
 ) -> xr.Dataset:
-    """
-    Compute yearly operations on a variable.
+    """Compute yearly operations on a variable.
 
     Parameters
     ----------
-    ds: xr.Dataset
+    ds : xr.Dataset
         Dataset containing the variable to compute the operation on.
-    op: str
+    op : str
         Operation to compute. One of ["max", "min", "mean", "sum"].
-    input_var: str
+    input_var : str
         Name of the input variable. Defaults to "streamflow".
-    window: int
+    window : int
         Size of the rolling window. A "mean" operation is performed on the rolling window before the call to xclim.
         This parameter cannot be used with the "sum" operation.
-    timeargs: dict, optional
+    timeargs : dict, optional
         Dictionary of time arguments for the operation.
         Keys are the name of the period that will be added to the results (e.g. "winter", "summer", "annual").
         Values are up to two dictionaries, with both being optional.
         The first is {'freq': str}, where str is a frequency supported by xarray (e.g. "YS", "AS-JAN", "AS-DEC").
         It needs to be a yearly frequency. Defaults to "AS-JAN".
-        The second is an indexer as supported by :py:func:`xclim.core.calendar.select_time`. Defaults to {}, which means the whole year.
+        The second is an indexer as supported by :py:func:`xclim.core.calendar.select_time`.
+        Defaults to {}, which means the whole year.
         See :py:func:`xclim.core.calendar.select_time` for more information.
-        Examples: {"winter": {"freq": "AS-DEC", "date_bounds": ['12-01', '02-28']}}, {"jan": {"freq": "YS", "month": 1}}, {"annual": {}}.
-    missing: str
+        Examples: {"winter": {"freq": "AS-DEC", "date_bounds": ["12-01", "02-28"]}}, {"jan": {"freq": "YS", "month": 1}}, {"annual": {}}.
+    missing : str
         How to handle missing values. One of "skip", "any", "at_least_n", "pct", "wmo".
         See :py:func:`xclim.core.missing` for more information.
-    missing_options: dict, optional
+    missing_options : dict, optional
         Dictionary of options for the missing values' method. See :py:func:`xclim.core.missing` for more information.
-    interpolate_na: bool
-        Whether to interpolate missing values before computing the operation. Only used with the "sum" operation. Defaults to False.
+    interpolate_na : bool
+        Whether to interpolate missing values before computing the operation. Only used with the "sum" operation.
+        Defaults to False.
 
     Returns
     -------
@@ -105,7 +106,6 @@ def get_yearly_op(
     -----
     If you want to perform a frequency analysis on a frequency that is finer than annual, simply use multiple timeargs
     (e.g. 1 per month) to create multiple distinct variables.
-
     """
     missing_options = missing_options or {}
     timeargs = timeargs or {"annual": {}}
@@ -174,7 +174,8 @@ def get_yearly_op(
             and freq != "AS-DEC"
         ):
             warnings.warn(
-                "The frequency is not AS-DEC, but the season indexer includes DJF. This will lead to misleading results."
+                "The frequency is not AS-DEC, but the season indexer includes DJF. "
+                "This will lead to misleading results."
             )
         elif (
             "doy_bounds" in indexer.keys()

xhydro/testing/__init__.py

@@ -1 +1,4 @@
-"""Helpers for testing."""
+"""Testing utilities and helper functions."""
+
+from .helpers import *
+from .utils import *