Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Dragoman

An Optimized, RML-engine-agnostic Interpreter for Functional Mappings. It planns the optimized execution of FnO functions integrated in RML mapping rules, interprets and transforms the rules into function-free ones efficiently. Since Dragoman is engine-agnostic it can be adopted by any RML-compliant Knowledge Graph creation framework.

You can use Dragoman with your own library of functions! Here is how:

  1. Make a copy of functions.py that is located in ./Interpreter/ and rename it (we consider it as new_function_script.py)
  2. Edit new_function_script.py by adding your functions definitions following the sctructure provided in the script and save the chnages
  3. Go to the connection.py and replace ".functions" with ".new_function_script" at line 6 and save the changes

That's it! You are ready to go :)

Version

1.0

License

This work is licensed under Apache 2.0

Authors

Metadata

Release files for dragoman-tool 1.0.dev1636562201

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dragoman-tool 1.0.dev1636562201
File Size Uploaded Provenance Actions
dragoman_tool-1.0.dev1636562201.tar.gz 20.4 kB Without provenance Details for dragoman_tool-1.0.dev1636562201.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for dragoman-tool 1.0.dev1636562201
File Interpreter ABI Platform Actions
dragoman_tool-1.0.dev1636562201-py3-none-any.whl Python 3 none any Details for dragoman_tool-1.0.dev1636562201-py3-none-any.whl

Total release size: 46.2 kB

Release files / dragoman_tool-1.0.dev1636562201.tar.gz

Download URL dragoman_tool-1.0.dev1636562201.tar.gz
Size 20.4 kB
Tags Source
SHA-256 checksum
How to use checksums
4f22eae2d0a2499fe85af5e2284b7da74a9d7da81152d5dc5d4e262c0c404295
BLAKE2b-256 checksum
How to use checksums
e38d31a7de38c27126aea200d4f315b1973ad4bb91dc9e4dc0a4a01fbdd608d2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

Release files / dragoman_tool-1.0.dev1636562201-py3-none-any.whl

Download URL dragoman_tool-1.0.dev1636562201-py3-none-any.whl
Size 25.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
41f6ce27fc1a48adbf6d9af63ec2b461df240ea2be31f06e586ada2fb0424f08
BLAKE2b-256 checksum
How to use checksums
b1e79479996a80a6be32990a1d0cd4d6745edb5e9b12a555de3073a2aae79bcd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

Security for dragoman-tool 1.0.dev1636562201

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page