Rename enram to aloftdata

CHANGELOG.md

@@ -1,3 +1,3 @@
 # Changelog
 
-See <https://github.com/enram/vptstools/releases>.
+See <https://github.com/aloftdata/vptstools/releases>.

CITATION.cff

@@ -25,8 +25,8 @@ authors:
     email: peter.desmet@inbo.be
     affiliation: Research Institute for Nature and Forest (INBO)
     orcid: https://orcid.org/0000-0002-8442-8025
-repository-code: https://github.com/enram/vptstools
-url: https://enram.github.io/vptstools/
+repository-code: https://github.com/aloftdata/vptstools
+url: https://aloftdata.github.io/vptstools/
 date-released: '2024-10-22'
 keywords:
 - data transformation

CONTRIBUTING.md

@@ -223,7 +223,7 @@ Github Actions is used to automatic push releases to pypi by the publish step in
 - `git push origin master`
 - Add git tags: `git tag vX.X.X` 
 - Push the git tags: `git push --tags`
-- On the [release page](https://github.com/enram/vptstools/releases) draft a new release using the latest git tag
+- On the [release page](https://github.com/aloftdata/vptstools/releases) draft a new release using the latest git tag
 - Copy past the changes from the changelog in the dialog and publish release
 - Check if Github Actions runs the deployment of docs and pypi
 
@@ -280,5 +280,5 @@ module are required:
 [virtualenv]: https://docs.python.org/3/library/venv.html
 
 
-[repository]: https://github.com/enram/vptstools
-[issue tracker]: https://github.com/enram/vptstools/issues
+[repository]: https://github.com/aloftdata/vptstools
+[issue tracker]: https://github.com/aloftdata/vptstools/issues

README.md

@@ -3,7 +3,7 @@
 <!-- badges: start -->
 [![Project generated with PyScaffold](https://img.shields.io/badge/-PyScaffold-005CA0?logo=pyscaffold)](https://pyscaffold.org/)
 [![PyPI-Server](https://img.shields.io/pypi/v/vptstools.svg)](https://pypi.org/project/vptstools/)
-[![.github/workflows/release.yml](https://github.com/enram/vptstools/actions/workflows/release.yml/badge.svg)](https://github.com/enram/vptstools/actions/workflows/release.yml)
+[![.github/workflows/release.yml](https://github.com/aloftdata/vptstools/actions/workflows/release.yml/badge.svg)](https://github.com/aloftdata/vptstools/actions/workflows/release.yml)
 [![repo status](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.13959705.svg)](https://doi.org/10.5281/zenodo.13959705)
 <!-- badges: end -->

docs/conf.py

@@ -262,7 +262,7 @@
 # Grouping the document tree into LaTeX files. List of tuples
 # (source start file, target name, title, author, documentclass [howto/manual]).
 latex_documents = [
-    ("index", "user_guide.tex", "vptstools Documentation", "enram", "manual")
+    ("index", "user_guide.tex", "vptstools Documentation", "aloftdata", "manual")
 ]
 
 # The name of an image file (relative to this directory) to place at the top of

setup.cfg

@@ -11,13 +11,13 @@ license = MIT
 license_files = LICENSE.txt
 long_description = file: README.md
 long_description_content_type = text/markdown; charset=UTF-8
-url = https://enram.github.io/vptstools/
+url = https://aloftdata.github.io/vptstools/
 # Add here related links, for example:
 project_urls =
-    Documentation = https://enram.github.io/vptstools/
-    Source = https://github.com/enram/vptstools
-    Changelog = https://enram.github.io/vptstools/changelog.html
-    Tracker = https://github.com/enram/vptstools/issues
+    Documentation = https://aloftdata.github.io/vptstools/
+    Source = https://github.com/aloftdata/vptstools
+    Changelog = https://aloftdata.github.io/vptstools/changelog.html
+    Tracker = https://github.com/aloftdata/vptstools/issues
 #    Download = "https://pypi.org/project/vptstools/#files"
 
 # Change if running only on Windows, Mac or Linux (comma-separated)

src/vptstools/bin/vph5_to_vpts.py

@@ -65,7 +65,7 @@ def cli(modified_days_ago, path_s3_folder=None):
     :py:mod:`vpts.bin.transfer_baltrad` CLI routine). Using an
     `s3 inventory bucket <https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-inventory.html>`_, check which
     HDF5 files were recently added and convert those files from ODIM bird profile to the
-    `VPTS CSV format <https://github.com/enram/vpts-csv>`_. Finally, upload the generated daily/monthly VPTS files to S3.
+    `VPTS CSV format <https://github.com/aloftdata/vpts-csv>`_. Finally, upload the generated daily/monthly VPTS files to S3.
 
     When using the `path_s3_folder` option, the modified date is not used, but a recursive search within the given s3
     path is applied to define the daily/monthly files to recreate.

src/vptstools/vpts.py

@@ -302,7 +302,7 @@ def validate_vpts(df, schema_version="v1.0"):
     df : pandas.DataFrame
         DataFrame as created by the vp or vpts functions
     schema_version : str, v1.0,...
-        Version according to a release tag of https://github.com/enram/vpts-csv/tags
+        Version according to a release tag of https://github.com/aloftdata/vpts-csv/tags
 
     Returns
     -------
@@ -325,7 +325,7 @@ def _write_resource_descriptor(vpts_file_path: Path, schema_version="v1.0"):
     vpts_file_path : pathlib.Path
         File path of the resource (VPTS file) written to disk
     schema_version :
-        Version according to a release tag of https://github.com/enram/vpts-csv/tags
+        Version according to a release tag of https://github.com/aloftdata/vpts-csv/tags
     """
     content = {
         "name": "vpts",
@@ -334,7 +334,7 @@ def _write_resource_descriptor(vpts_file_path: Path, schema_version="v1.0"):
         "mediatype": "text/csv",
         "encoding": CSV_ENCODING,
         "dialect": {"delimiter": CSV_FIELD_DELIMITER},
-        "schema": f"https://raw.githubusercontent.com/enram/vpts-csv/"
+        "schema": f"https://raw.githubusercontent.com/aloftdata/vpts-csv/"
         f"{schema_version}/vpts-csv-table-schema.json",
     }
     vpts_file_path.parent.mkdir(parents=True, exist_ok=True)