Prepare 0300 release (#1032)

* update comments in pyproject.toml

* update contributing

* Bump version: 0.29.1 → 0.30.0

* updated whatsnew

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.29.1
+current_version = 0.30.0
 commit = True
 tag = True
 

CITATION.cff

@@ -8,5 +8,5 @@ authors:
     orcid: https://orcid.org/0000-0002-6349-818X
 title: "dfm_tools: A Python package for pre- and postprocessing D-FlowFM model input and output files"
 type: software
-version: 0.29.1
+version: 0.30.0
 doi: https://doi.org/10.5281/zenodo.7857393

dfm_tools/__init__.py

@@ -4,7 +4,7 @@
 
 __author__ = """Jelmer Veenstra"""
 __email__ = "jelmer.veenstra@deltares.nl"
-__version__ = "0.29.1"
+__version__ = "0.30.0"
 
 from dfm_tools.deprecated import *
 from dfm_tools.download import *

docs/CONTRIBUTING.md

@@ -1,81 +1,83 @@
 # Contributing
 
-## Checkout dfm_tools git repository
+## Checkout git repository
 
 - this is just a suggestion, feel free to work with VScode or any other git-compatible workflow
 - download git from [git-scm.com](https://git-scm.com/download/win), install with default settings
-- open git bash window where you want to clone the dfm_tools github repository (e.g. ``C:\DATA\``)
-- ``git clone https://github.com/deltares/dfm_tools`` (creates a folder dfm_tools with the checked out repository)
-- ``cd dfm_tools``
-- optional: ``git config --global user.email [emailaddress]``
-- optional: ``git config --global user.name [username]``
+- open git bash window where you want to clone the dfm_tools github repository (e.g. `C:\DATA\`)
+- `git clone https://github.com/deltares/dfm_tools` (creates a folder dfm_tools with the checked out repository)
+- `cd dfm_tools`
+- optional: `git config --global user.email [emailaddress]`
+- optional: `git config --global user.name [username]`
 
 ## Setup local developer environment
 
 - python 3.11 is recommended, [python>=3.9 is required](https://github.com/Deltares/dfm_tools/issues/267), [python 3.13 not yet supported](https://github.com/Deltares/dfm_tools/issues/559)
 - download Miniforge3 from [the miniforge github](https://github.com/conda-forge/miniforge?tab=readme-ov-file#download) and install it with the recommended settings.
 - open Miniforge Prompt and navigate to the local checkout folder of the repository
-- ``conda create --name dfm_tools_env python=3.11 git spyder -y`` (``git`` and ``spyder`` are optional)
-- ``conda activate dfm_tools_env``
-- ``python -m pip install -e .[dev,docs,examples]`` (pip developer mode, any updates to the local folder are immediately available in your python. It also installs all requirements via pip, square brackets are to install optional dependency groups)
-- ``conda deactivate``
-- to remove dfm_tools_env when necessary: ``conda remove -n dfm_tools_env --all``
+- `conda create --name dfm_tools_env python=3.11 git spyder -y` (`git` and `spyder` are optional)
+- `conda activate dfm_tools_env`
+- `python -m pip install -e .[dev,docs,examples]` (pip developer mode, any updates to the local folder are immediately available in your python. It also installs all requirements via pip, square brackets are to install optional dependency groups)
+- `conda deactivate`
+- to remove dfm_tools_env when necessary: `conda remove -n dfm_tools_env --all`
 
 ## Contributing
 
 - open an existing issue or create a new issue at [the issues page](https://github.com/Deltares/dfm_tools/issues)
-- create a branch via ``Development`` on the right. This branch is now linked to the issue and the issue will be closed once the branch is merged with main again
+- create a branch via `Development` on the right. This branch is now linked to the issue and the issue will be closed once the branch is merged with main again
 - alternatively fork the repository and do your edits there
-- open git bash window in local dfm_tools folder (e.g. ``C:\DATA\dfm_tools``)
-- ``git fetch origin`` followed by ``git checkout [branchname]``
-- make your local changes to the dfm_tools code (including docstrings and unittests for functions), after each subtask do ``git commit -am 'description of what you did'`` (``-am`` adds all changed files to the commit)
-- check if all edits were committed with ``git status``, if there are new files created also do ``git add [path-to-file]`` and commit again
-- ``git push`` to push your committed changes your branch on github
+- open git bash window in local dfm_tools folder (e.g. `C:\DATA\dfm_tools`)
+- `git fetch origin` followed by `git checkout [branchname]`
+- make your local changes to the dfm_tools code (including docstrings and unittests for functions), after each subtask do `git commit -am 'description of what you did'` (`-am` adds all changed files to the commit)
+- check if all edits were committed with `git status`, if there are new files created also do `git add [path-to-file]` and commit again
+- `git push` to push your committed changes your branch on github
 - open a pull request at the branch on github, there you can see what you just pushed and the automated checks will show up (testbank and code quality analysis).
 - optionally make additional local changes (+commit+push) untill you are done with the issue and the automated checks have passed
-- optionally increase the dfm_tools version with: ``bumpversion patch``
+- optionally increase the dfm_tools version with: `bumpversion patch`
 - request a review on the pull request
 - after review, squash+merge the branch into main
 
 ## Running the testbank
 
 - open Miniforge Prompt and navigate to the local checkout folder of the repository
-- ``conda activate dfm_tools_env``
-- ``pytest`` (runs all tests)
-- ``pytest -m "not acceptance"``
-- ``pytest -m acceptance`` (runs the acceptance tests, which are the scripts in [the examples folder](https://github.com/Deltares/dfm_tools/tree/main/tests/examples))
-- ``pytest -m "not requireslocaldata"`` (this is what runs on github)
+- `conda activate dfm_tools_env`
+- `pytest` (runs all tests)
+- `pytest -m "not acceptance"`
+- `pytest -m acceptance` (runs the acceptance tests, which are the scripts in [the examples folder](https://github.com/Deltares/dfm_tools/tree/main/tests/examples))
+- `pytest -m "not requireslocaldata"` (this is what runs on github)
 - this workflow automatically runs via Github Actions upon push and pullrequest to main
 
 ## Generate documentation with sphinx
 
 - open Miniforge Prompt and navigate to the local checkout folder of the repository
-- ``conda activate dfm_tools_env``
-- ``sphinx-build docs docs/_build``
+- `conda activate dfm_tools_env`
+- `sphinx-build docs docs/_build`
 - this workflow automatically runs via Github Actions upon push to main
 
-## Increase the dfm_tools version number
+## Increase the version number
 
 - commit all changes via git
 - open Miniforge Prompt and navigate to the local checkout folder of the repository
-- ``conda activate dfm_tools_env``
-- ``bumpversion major`` or ``bumpversion minor`` or ``bumpversion patch`` (changes version numbers in files and commits changes)
-- push changes with ``git push`` (from git bash window)
+- `conda activate dfm_tools_env`
+- `bumpversion major` or `bumpversion minor` or `bumpversion patch` (changes version numbers in files and commits changes)
+- push changes with `git push` (from git bash window)
 
 ## Create release
 
-- make sure the ``main`` branch is up to date (important issues solved, all pullrequests and branches closed)
-- bump the versionnumber with ``bumpversion minor``
-- update ``docs/whats-new.md`` and add a date to the current release heading
-- run local testbank
-- local check with: ``python -m build`` and ``twine check dist/*`` ([does not work on WCF](https://github.com/pypa/setuptools/issues/4133))
-- copy the dfm_tools version from [pyproject.toml](https://github.com/Deltares/dfm_tools/blob/main/pyproject.toml) (e.g. ``0.11.0``)
+- make sure the `main` branch is up to date (check pytest warnings, important issues solved, all pullrequests and branches closed)
+- bump the versionnumber with `bumpversion minor`
+- update `docs/whats-new.md` and add a date to the current release heading
+- run local testbank with `pytest -m "not era5slow and not requireslocaldata and not acceptance"`
+- local check with: `python -m build` and `twine check dist/*` ([does not work on WCF](https://github.com/pypa/setuptools/issues/4133))
+- commit+push to github via PR
+- copy the dfm_tools version from [pyproject.toml](https://github.com/Deltares/dfm_tools/blob/main/pyproject.toml) (e.g. `0.11.0`)
 - create a [new release](https://github.com/Deltares/dfm_tools/releases/new)
-- click ``choose a tag`` and type v+versionnumber (e.g. ``v0.11.0``), click ``create new tag: v0.11.0 on publish``
-- set the release title to the tagname (e.g. ``v0.11.0``)
-- click `Generate release notes` and replace the `What's Changed` info by a tagged link to ``docs/whats-new.md``
-- if all is set, click ``Publish release``
+- click `choose a tag` and type v+versionnumber (e.g. `v0.11.0`), click `create new tag: v0.11.0 on publish`
+- set the release title to the tagname (e.g. `v0.11.0`)
+- click `Generate release notes` and replace the `What's Changed` info by a tagged link to `docs/whats-new.md`
+- if all is set, click `Publish release`
 - a release is created and the github action publishes it [on PyPI](https://pypi.org/project/dfm-tools)
+- post-release: commit+push `bumpversion patch` and `UNRELEASED` header in `docs/whats-new.md` to distinct between release and dev version
 
 ## What are all these packages for?
 

docs/whats-new.md

@@ -1,6 +1,6 @@
 # What's new
 
-## UNRELEASED
+## 0.30.0 (2024-10-20)
 
 ### Fix
 - fixed cmems-nrt insitu again by dropping station with varying coordinates again in [#1023](https://github.com/Deltares/dfm_tools/pull/1023)

pyproject.toml

@@ -4,56 +4,56 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "dfm_tools"
-version = "0.29.1"
+version = "0.30.0"
 maintainers = [{ name = "Jelmer Veenstra", email = "jelmer.veenstra@deltares.nl" }]
 description = "dfm_tools are pre- and post-processing tools for Delft3D FM"
 readme = "README.md"
 keywords = ["dfm_tools", "D-FlowFM", "D-HYDRO", "post-processing", "pre-processing", "mapfiles", "hisfiles", "modelbuilder"]
 license = { text = "LGPLv3" }
 requires-python = ">=3.9"
 dependencies = [
-	#scipy<1.6.0 pip install fails in py39, is also 3 years old
+	#scipy>=1.6.0 successfully pip installs in py39, is also 3 years old
 	"scipy>=1.6.0",
-	#numpy<1.23 is EOL since june 2024
+	#numpy>=1.23 is first not-EOL since june 2024
 	"numpy>=1.23",
-	#contour colorbar on uniform values fails with matplotlib<3.7.0, several other features with matplotlib<3.6.0
+	#matplotlib>=3.7.0 successfully creates contour colorbar on uniform values and has several other features
 	"matplotlib>=3.7.0",
 	#pandas>=1.4 is required by xarray>=2023.3.0
 	"pandas>=1.4.0",
-	#shapely<2.0.0 give "AttributeError: module 'shapely' has no attribute 'GeometryType'"
+	#shapely>=2.0.0 fixes "AttributeError: module 'shapely' has no attribute 'GeometryType'"
 	"shapely>=2.0.0",
-	#geopandas<0.13.0 require shapely<2.0.0
+	#geopandas>=0.13.0 supports shapely>=2.0.0
 	"geopandas>=0.13.0",
-	#fiona<1.9 does not contain sql where filter
+	#fiona>=1.9 contains sql where filter
 	"fiona>=1.9",
-	#contextily<1.6.2 has incorrect axis scaling: https://github.com/geopandas/contextily/issues/251
+	#contextily>=1.6.2 has fixed axis scaling: https://github.com/geopandas/contextily/issues/251
 	"contextily>=1.6.2",
-	#xarray<2023.9.0 does not support multidimensional coordinates (used in e.g. HIRLAM meteo data)
+	#xarray>=2023.9.0 supports multidimensional coordinates (used in e.g. HIRLAM meteo data)
 	"xarray>=2023.9.0",
 	#dask version is aligned with xarray
 	"dask>=2023.9.0",
-	#netcdf4<1.5.4 pip install fails in py39
+	#netcdf4>=1.5.4 successfully pip installs in py39
 	"netcdf4>=1.5.4",
-	#bottleneck<1.3.3 pip install fails in py39
+	#bottleneck>=1.3.3 successfully pip installs in py39
 	"bottleneck>=1.3.3",
-	#xugrid<0.12.1 has issue with fill_value and no flexible start_index
+	#xugrid>=0.12.1 fixed issue with fill_value and no flexible start_index
 	"xugrid>=0.12.1",
-	#cdsapi<0.7.2 has different error upon dummy dataset
+	#cdsapi>=0.7.2 has different error upon dummy dataset
 	"cdsapi>=0.7.2",
-	#pydap<3.4.0 is from May 2017 and does not support newer python versions
+	#pydap>=3.4.0 is the first with support for newer python versions
 	"pydap>=3.4.0",
-	#erddapy<2.0.0 does not support pandas>=2.0.0
+	#erddapy>=2.0.0 supports pandas>=2.0.0
 	"erddapy>=2.0.0",
-	#copernicusmarine<1.3.2 is not the latest version and the developers recommend to always use the latest version until 2.0.0 is released: https://github.com/Deltares/dfm_tools/issues/936
-	"copernicusmarine>=1.3.2",
+	#copernicusmarine>=1.3.3 is the latest version and the developers recommend to always use the latest version until 2.0.0 is released: https://github.com/Deltares/dfm_tools/issues/936
+	"copernicusmarine>=1.3.3",
 	"copernicusmarine<2.0.0", # TODO: remove when dfm_tools is adjusted to not-yet-released 2.0 version: https://github.com/Deltares/dfm_tools/issues/933
-	#rws-ddlpy<0.4.0 does not yet have `ddlpy.dataframe_to_xarray()`
-	"rws-ddlpy>=0.4.0",
-	#pooch<1.1.0 do not have attribute retrieve
+	#rws-ddlpy>=0.6.0 `ddlpy.measurements_amount()` returns all amounts
+	"rws-ddlpy>=0.6.0",
+	#pooch>=1.1.0 has attribute retrieve
 	"pooch>=1.1.0",
-	#hydrolib-core 0.8.0 support for many more mdu keywords and correct dimr_config.xml for parallel runs
+	#hydrolib-core>=0.8.0 supports many more mdu keywords and correct dimr_config.xml for parallel runs
 	"hydrolib-core>=0.8.0",
-	#meshkernel<4.2.0 support for more gridded_samples dtypes and workarounds for non-orthogonal grids
+	#meshkernel>=4.2.0 supports more gridded_samples dtypes and workarounds for non-orthogonal grids
 	"meshkernel>=4.2.0",
 ]
 classifiers = [