AI policy

.github/pull_request_template.md

@@ -38,6 +38,7 @@ import ocbpy
 - [ ] Make sure you are merging into the ``develop`` (not ``main``) branch
 - [ ] My commits are formatted appropriately (following the SciPy/NumPy style) 
 - [ ] My code follows the style guidelines of this project
+- [ ] I assert that I have not used AI in the development of this pull request
 - [ ] I have performed a self-review of my own code
 - [ ] I have commented my code, particularly in hard-to-understand areas
 - [ ] I have made corresponding changes to the documentation

.github/workflows/main.yml

@@ -14,7 +14,12 @@ jobs:
       matrix:
         os: ["ubuntu-latest", "macos-latest", "windows-latest"]
         python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
-        install-extras: ["base", "pysat_instruments", "dmsp_ssj"]
+        install-extras: ["base", "dmsp_ssj"]
+        include:
+          # Pysat test for only pysat-passing Python version
+          - python-version: "3.10"
+            os: "ubuntu-latest"
+            install-extras: "pysat-instrument"
 
     name: Python ${{ matrix.python-version }} on ${{ matrix.os }} with ${{ matrix.install-extras }}
     runs-on: ${{ matrix.os }}
@@ -50,10 +55,9 @@ jobs:
         coverage report
         coverage xml --rcfile=pyproject.toml
 
-    - name:  Coveralls Parallel
+    - name: Coveralls Parallel
       uses: coverallsapp/github-action@v2
       with:
-        github-token: ${{ secrets.GITHUB_TOKEN }}
         flag-name: run=${{ join(matrix.*, '-') }}
         parallel: true
         format: cobertura
@@ -65,9 +69,7 @@ jobs:
     runs-on: "ubuntu-latest"
     steps:
       - name: Coveralls Finished
-        env:
-          COVERALLS_REPO_TOKEN: ${{ secrets.COVERALLS_REPO_TOKEN }}
-          COVERALLS_PARALLEL: true
-        run: |
-          curl -sL https://coveralls.io/coveralls-linux.tar.gz | tar -xz
-          ./coveralls done --build-number ${{ github.run_number }}
+        uses: coverallsapp/github-action@v2
+        with:
+          parallel-finished: true
+          carryforward: "all"

CONTRIBUTING.rst

@@ -88,3 +88,17 @@ To run a subset of tests from the test directory for a specific environment::
 To run all the tests for a specific environment::
 
     python -m unittest discover
+
+Use of 'AI'
+-----------
+
+This project is human centered and developers do not use Artificial Inteligence
+(AI) tools such as large language models in its creation or maintenance.
+The purpose of this tool is to improve high-latitude science, and thus values
+interactions with scientists and scientific programmers. Code generated by a
+large language model or similar technology, such as Anthropic’s Claude,
+GitHub/Microsoft’s Copilot, OpenAI’s ChatGPT, Facebook/Meta’s Code Llama et al.,
+is not compliant with the covenants and representations of OCBpy’s Contributor’s
+Agreement, and is thus not acceptable as code for OCBpy.
+
+

Changelog.rst

@@ -7,7 +7,9 @@ Summary of all changes made since the first stable release
 ------------------
 * ENH: Added the Gussenhoven (1983) model for the EAB
 * ENH: Added the CH-Aurora-2014 model for the OCB and EAB
-* DEP: Removed support for older versions of `zenodo_get`
+* ENH: Added an AI usage policy (no AI use allowed)
+* DEP: Removed support for older versions of `zenodo_get`, updated download
+  checks to account for breaking changes made in the newer versions
 * MAINT: Added support for Python 3.14
 * MAINT: Updated GitHub CI actions
 * MAINT: Updated numpy usage

ocbpy/boundaries/dmsp_ssj_files.py

@@ -25,10 +25,9 @@
 """
 
 import datetime as dt
-from io import StringIO
+import hashlib
 import numpy as np
 import os
-import sys
 import zipfile
 
 import aacgmv2
@@ -108,45 +107,42 @@ def fetch_ssj_boundary_files(stime=None, etime=None, out_dir=None,
     if not os.path.isdir(out_dir):
         raise ValueError("can't find the output directory")
 
-    # Download the zenodo archive, capturing the output
-    zenodo_io = StringIO()
-    sys.stdout = zenodo_io
-    sys.stderr = zenodo_io
-
+    # Download the zenodo archive
     zenodo_get.download(doi=doi, output_dir=out_dir)
-    zenodo_checksum = None
 
-    # Parse the output and retrieve files from the zip archive
-    sys.stdout = sys.__stdout__
-    sys.stderr = sys.__stderr__
-    zen_msg = zenodo_io.getvalue()
-    zen_split = zen_msg.split()
+    # Get the checksum file (does not download)
+    zenodo_get.download(doi=doi, output_dir=out_dir, md5=True)
+    zenodo_checksum = os.path.join(out_dir, "md5sums.txt")
 
-    if zen_msg.find('Checksum is correct') < 0 and zen_msg.find(
-            'already downloaded correctly') < 0:
-        raise IOError('Bad checksum: {:s}'.format(zen_msg))
+    # Verify the checksum and retrieve the zip archive name
+    if os.path.isfile(zenodo_checksum):
+        with open(zenodo_checksum, 'r') as zcheck:
+            csum, zip_name = zcheck.read().split()
 
-    # Remove the checksum file if the download problem wasn't found there
-    if zenodo_checksum is not None:
-        os.remove(zenodo_checksum)
+            # Set the archive name
+            archive_name = os.path.join(out_dir, zip_name)
 
-    # Get the archive name from the output
-    try:
-        link_ind = zen_split.index('Link:') + 1
+            if not os.path.isfile(archive_name):
+                raise IOError(
+                    'error downloading archive to output dir: {:}'.format(
+                        archive_name))
 
-        # If the archive is already available, message may differ
-        zip_name = os.path.split(zen_split[link_ind])
-        while zip_name[-1].find(".zip") <= 0:
-            zip_name = os.path.split(zip_name[0])
+            # Get the archive checkshum
+            with open(os.path.join(out_dir, archive_name), 'rb') as afile:
+                asum = hashlib.md5(afile.read()).hexdigest()
 
-        # Set the archive name
-        archive_name = os.path.join(out_dir, zip_name[-1])
-    except (ValueError, IndexError):
-        raise IOError('unable to identify zenodo archive: {:}'.format(zen_msg))
+        zen_msg = "Checksum is correct" if asum == csum else "Corrupted data"
+    else:
+        zen_msg = "Checksum file not created"
 
-    if not os.path.isfile(archive_name):
-        raise IOError('error downloading archive to output dir: {:}'.format(
-            archive_name))
+    # Remove the checksum file
+    if zenodo_checksum is not None:
+        os.remove(zenodo_checksum)
+
+    # Evaluate checksum output
+    if zen_msg.find('Checksum is correct') < 0 and zen_msg.find(
+            'already downloaded correctly') < 0:
+        raise IOError('Bad checksum: {:s}'.format(zen_msg))
 
     # Access the zip archive
     with zipfile.ZipFile(archive_name, 'r') as zref: