vipersci 0.6.1

The VIPER Science package is software to support the activities of the Volatiles Investigating Polar Exploration Rover (VIPER) Science Team.

vipersci

This vipersci package is software to support the activities of the Volatiles Investigating Polar Exploration Rover (VIPER) Science Team.

This software will implement scientific models to convert instrument raw data to useful derived data (but not including any proprietary instrument details). This includes functionality for running the models “in reverse” in order to simulate instrument data for tests and mission simulations. This software will enable and support the creation of various geospatial data sets (maps) to help visualize and understand data from the spacecraft. It will also support the creation of PDS4 archive labels and structures for eventual data delivery to the Planetary Data System (PDS).

At the moment, this repo is under significant development and change as we attempt to craft various pieces of code. It is definitely a work-in-progress.

The VIPER Science Team is developing this software “in the open” in order to adhere to the new NASA Science Information Policy for the Science Mission Directorate (SPD-41) as much as is possible.

• Free software: Apache 2 License

Installation

The vipersci package is available on PyPI and pip-installable.

Installation via Conda will be forthcoming.

For the moment, follow the “Get Started!” directions in the CONTRIBUTING.rst document.

Contributing

Feedback, issues, and contributions are always gratefully welcomed. See the contributing guide for details on how to help and setup a development environment.

Credits

vipersci was developed in the open at NASA’s Ames Research Center.

See the AUTHORS file for a complete list of developers.

License

See LICENSE file for the full text of the license that applies to vipersci.

Copyright (c) 2022-2023, United States Government as represented by the Administrator of the National Aeronautics and Space Administration. All rights reserved.

The “vipersci” software is licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

When updating this file, please add an entry for your change under Unreleased and one of the following headings:

• Added - for new features.

• Changed - for changes in existing functionality.

• Deprecated - for soon-to-be removed features.

• Removed - for now removed features.

• Fixed - for any bug fixes.

• Security - in case of vulnerabilities.

If the heading does not yet exist under Unreleased, then add it as a 3rd level heading, underlined with pluses (see examples below).

When preparing for a public release add a new 2nd level heading, underlined with dashes under Unreleased with the version number and the release date, in year-month-day format (see examples below).

Unreleased

0.6.1 (2023-09-25)

Fixed

• validators.validate_dateimte_asutc now properly raises a ValueError if the provided tz-aware datetime has a non-UTC tz offset (before any tz-aware datetime would pass the validator).

• image_records.ImageRecord object now has pgaGain instead of ppaGain (which was surely a typo in the early upstream data.

• create_image.py now correctly imports all of the tables that have a relation to the image_records table so that SQLAlchemy can properly resolve them, and downstream users of the create_image.create() function don’t need to worry about sorting that out.

• nss_simulator.py, when asked to produce an output set of maps, uses a zero nodata value rather than whatever nodata value was present in the input burial depth map.

• anaglyph.py needed some minor changes to align with upcoming changes in the scikit-image architecture.

0.6.0 (2023-09-25)

Changed the concept of primarily recording PDS-like “products” in the database and data structures, and changed the concept to capture “records” of various kinds (ImageRecords, LightRecords, and derived things like PanoRecords) in the database and as the primary data unit for use and interaction. And then PDS “products” will be made at a later time via a process that sources one or many records.

Added

• image_records.py (this replaces the concept of raw_products.py)

• create_image.py (this replaces most of the functionality of the previous create_raw.py)

• image_tags.py which contains image tag information.

• image_requests.py defines the table for holding image requests.

• Junction tables to connect LDST information to ImageRequests and ImageTags to ImageRecords.

• ldst.py table which contains LDST information.

• light_records.py which handles information about luminaire state.

• anaglyph.py

• pano_check.py to sort through image records and figure out what would be a good panorama set.

Changed

• header.pga_gain_dict structure now has values that are always floats, which helps to determine whether this transformation needs to be applied.

• image_stats.py is the new raw_stats.py, supporting ImageRecord objects.

• pano_products.py is now pano_records.py, supporting ImageRecord objects.

• create_pano.py now supports ImageRecords and PanoRecords.

• create_raw.py rearchitected to gather information from “records” to build XML PDS labels.

• create_vis_dbs entry point changed to vis_create_dbs to conform with other vis-related entry points.

• pid.VISID now properly sorts the uncompressed “z” state lower (better) than the lossless compressed “a” state.

• pid.VISID now has a best_compression() function to sort out the best compression state from an iterable containing may compression states from a single observation.

0.5.0 (2023-07-26)

Added

• PanoID class added to pds.pid

• pano_products and create_pano added, still very preliminary, mostly just mock-ups.

• colorforge program for managing colormaps.

• mypy is now in the development dependencies to support type checking.

• lint/mypy target added to Makefile.

• tri2gpkg now has a –remove_facets option to remove facets with a particular value.

Changed

• Explicit in documentation about developing in Python 3.8 (although earlier versions should still be supported).

• Many changes to improve type checking.

• Added numeric instrument aliases and checking for them.

• Added information for procesingInfo and outputMask from Yamcs.

• Upgrade to SQLAlchemy >=2.

• Moved definition of Base class up to vis.db.

• heatmaps.py will now accept value data lists or arrays with np.nan or None values which will be appropriate ignored in the density heatmap calculation.

Fixed

• tri2gpkg - if the provided polygons have zero area, issue an error rather than making a confusing GeoPackage file.

0.4.0 (2023-03-01)

Added

• carto.bounds module added to unify functionality for both heatmaps and dotmaps.

• carto.dotmap module for creating simple heatmap-like visualizations from 2d scalar data.

• Makefile now has a “lint/twine” option to hopefully help me remember to test that.

• VIS image_statistics.py and raw_stats.py modules.

• A variety of unit tests.

• mypy configuration arguments.

Changed

• Flattened test directory structure.

• tri2gpkg -v is no longer an alias for –value-names, as it now determines verbosity since logging has been added.

• GitHub workflows have been re-arranged. Black and flake8 are now run under the “Lint” action, and the flake8 tests are removed from the Python testing matrix.

Removed

• The pinned versions requirements_dev.txt

Fixed

• CHANGELOG.rst had an unescaped underbar which caused trouble with twine upload.

• setup.cfg arrangement in install_requires passed local testing, but not GitHub testing, have now fixed.

• heatmap’s generate_density_heatmap() function now properly returns values of zero in the returned out_count numpy array when there are no counts in those grid cells instead of the provided nodata value.

• tri2gpkg now works correctly if –keep_z is specified

• tri2gpkg now uses the correct srs if a pre-defined site is selected.

0.3.0 (2022-11-15)

Added

• pds.datetime.fromisozformat() function.

• pds.pid.VISID.compression_class() function.

• pds.xml.py added, very minimal, functionality may be moved.

• vis.db.raw_products.RawProduct.from_xml() function.

• vis.db.raw_products.RawProduct.asdict() function.

• vis.pds.create_raw.check_bit_depth() function.

• vis.db.create_vis_dbs convenience program to add empty tables to database.

Changed

• Updated templates and modules for PDS information model 18.

• vis.db.raw_products.RawProduct has some improved error-checking in __init__() and validate_datetime_asutc().

• vis.db.raw_products.RawProduct product_id column is now unique in database.

• vis.db.raw_products.RawProduct md5_checksum changed to file_md4_checksum to clearly associate it with the other properties that begin with “file_”.

• vis.pds.create_raw.tiff_info() no longer raises an error if a bit depth other than 16 is provided.

• vis.pds.create_raw now creates .JSON output files by default instead of XML PDS4 labels, but XML files can still be made.

• carto.heatmap.write_geotiff_rasterio now supports compressed output and defaults to “deflate”

Fixed

• carto.tri2gpkg.replace_with() now correctly returns a float value in all circumstances.

• pds.pid.VIPERID.datetime() now properly returns datetimes with a UTC timezone.

• vis.db.raw_products.RawProduct.label_dict() now correctly sets sample_bits and sample_bit_mask if the image is a SLoG image.

• Added __init__.py files to all modules (some modules did not get incorporated into the PyPI package because they did not have __init__.py files.

• The setup.cfg now properly includes requirements that vipersci needs.

Removed

• Many modules still had if __name__ == “__main__” constructs from early development which are now not needed with the entry points in setup.cfg.

0.2.0 (2022-11-07)

Added

• Data Simulators for NSS, NIRVSS, and MSolo

• Lots of material to enaable PDS archiving of VIS data.

• Added GitHub workflow to perform Black format checking

Changed

• Many updates to heatmap.py

• Applied Black formatting to all code in the repo.

• Modified Python testing workflow to actually work.

0.1.0 (2022-10-05)

Initial release.