Skip to main content

CCSDS-NDM

Project description

CCSDS-NDM CircleCI Status CCSDS-NDM Codecov Status Documentation Status

Description

The Consultative Committee for Space Data Systems (CCSDS) develops communications and data systems standards for spaceflight. CCSDS Navigation Data Messages (NDM) is the set of file standards to define common data types such as trajectory, orbit, attitude and conjunction events. These data types are routinely generated and exchanged within and between spacecraft operators, space agencies, researchers, amateurs and commercial companies. As such, accurate definition and common interpretation of the data is crucial (and sometimes mission-critical).

The standard description for each data type is encapsulated in an XML Schema file. This project ccsds-ndm aims to be the reference open-source Python implementation to read and write the NDM XML and KVN files, through an object tree API, auto-generated by these schema files. It supports the up-to-date NDM XML 2.0.0 standard.

The source code is on Github and the documentation is on Readthedocs.

Current functionality

Read

Write

XML

All NDM Types

All NDM Types

KVN

All except NDM Combined Instantiation

All except NDM Combined Instantiation

JSON

Not specified in CCSDS Standards

Not specified in CCSDS Standards

Usage and Examples

There are two use cases:

  • The ccsds-ndm library reads the NDM file, fills an object tree and offers it to the users. The users will then have to fill their own attitude, orbit or trajectory objects used in their libraries.

  • The user fills an object tree from their own attitude, orbit or trajectory object. The ccsds-ndm library writes the NDM file using this object tree.

For the first use case, reading an OEM file from xml_read_path is as simple as:

>>> cdm = NdmIo().from_path(xml_read_path)

Note that file format (XML or KVN) and data type (e.g. CDM or NDM) are inferred automatically. The output cdm is the object tree for a Conjunction Data Message (CDM). The contents can then be reached going deeper in the object tree as specified in the corresponding NDM Standard. This example shows how to reach the orbit normal position component of the relative state vector:

>>> print(cdm.body.relative_metadata_data.relative_state_vector.relative_position_n)

The data can sometimes be of type NDM Combined Instantiation. This means that there are multiple NDM data bodies (e.g. 2 AEMs, 3 OEMs and one OMM) within a single file. The file reader supports these types as well and they are kept within the Ndm object as individual lists for each of the file types. The following example retrieves the second Omm object in the NDM file and then continues to dive deeper into the object tree to retrieve the eccentricity value.

>>> print(ndm.omm[1].body.segment.data.mean_elements.eccentricity)

If the file is of the type NDM Combined Instantiation but there is only a single data (e.g. OMM) in it, the ndm tags are stripped and only the single data is presented to the user.

Filling the objects with data properly requires some care. As the standard is understandably strict, the object tree derived from the XSD files are also rather exacting in how they accept data. The recommended way to fill the objects is with value and unit information:

>>> # This is the proper way to write data into the object
>>> cdm.body.relative_metadata_data.relative_state_vector.relative_position_t = LengthType(Decimal(800), LengthUnits.M)

Finally, once filled with the relevant data, the cdm object can be written to xml_write_path in XML data format as:

>>> NdmIo().to_file(cdm, NDMFileFormats.XML, xml_write_path)

The ndm object trees are not very user friendly and most probably will have to be filled by the users’ own equivalent objects (trajectory, orbit, attitude etc.).

Installing ccsds-ndm

The ccsds-ndm package is on PyPI and you can install it simply by running:

pip install ccsds_ndm

You can also install it via conda-forge:

conda install -c conda-forge ccsds_ndm

Do not install ccsds-ndm using sudo.

More Information Regarding the CCSDS-NDM

The top-level description of the standard is given in the Navigation Data — Definitions and Conventions Green Book and Navigation Data Messages Overview Green Book. Individual data types are defined in their individual definitions (e.g. Conjunction Data Message and Orbit Data Message). The centre for all the standards are CCSDS Mission Operations and Information Management Services Area.

The Schema files are found in the SANA Registry.

Design and Limitations

The object tree is created by xsdata library, which also handles parsing and writing of the XML data. As such, there is no documentation generated for this object tree.

File read is usually fast (on the order of seconds) for small files. That said, KVN parsing for large files can take some time. A 12 MB OEM file lasts about a minute to parse on a good consumer grade computer. Due to the fragility of the KVN format and the restrictions the standards put on the order of keys, no parallelisation has been attempted.

Requirements

  • xsData is used to read and write XML files (and also to generate the object tree)

License

This project is Copyright (c) Egemen Imre and licensed under the terms of the GNU GPL v3+ license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ccsds_ndm-2.0rc1.tar.gz (110.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ccsds_ndm-2.0rc1-py2.py3-none-any.whl (127.8 kB view details)

Uploaded Python 2Python 3

File details

Details for the file ccsds_ndm-2.0rc1.tar.gz.

File metadata

  • Download URL: ccsds_ndm-2.0rc1.tar.gz
  • Upload date:
  • Size: 110.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.25.1

File hashes

Hashes for ccsds_ndm-2.0rc1.tar.gz
Algorithm Hash digest
SHA256 f152b208c177a40a2e6246651d9167b8b299dabc845518331363e934678e7970
MD5 9a1ae0b58c6bc2cf3a1384e3c8eb3a39
BLAKE2b-256 c35acc218d350d01e273d9aaf103f974c00f5fe45cfd5d452c225afb83c9cc00

See more details on using hashes here.

File details

Details for the file ccsds_ndm-2.0rc1-py2.py3-none-any.whl.

File metadata

  • Download URL: ccsds_ndm-2.0rc1-py2.py3-none-any.whl
  • Upload date:
  • Size: 127.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.25.1

File hashes

Hashes for ccsds_ndm-2.0rc1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ae5f1ca0d0971dedea484892444687f16fec0ee69187b37f8f7d843eaf18a5c6
MD5 1ef481ec9e609af98a2d1037088b52c2
BLAKE2b-256 eb812f442f019ceefc01285d0a5da5b974a55fc1c62954c5f6606b5ac4ede2eb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page