Skip to main content

raebot

Search for definitions from the DLE.

This package is inspired by pyrae, but is implemented in a way I find more intuitive. Also, most importantly for me, synonym and antonym support.

Installation

pip install raebot

Develop

  • Install poetry.
  • Create a virtual environment
  • run poetry install to install the dependencies.

TDD recommended. Add a case, then update the script to make the test pass.

PRs welcome.

Testing

Run poetry run pytest to run the tests.

Publish

If you are Weiwei or one of his robots, run poetry publish --build to publish a new version.

Usage

>>> from raebot import search_words
>>> from pprint import pprint

>>> pprint(search_words('hola'))

[Word(word='lindo, da',
      etymology="Del lat. limpĭdus 'limpio', 'puro'.",
      definitions=[DefinitionX(types=['adj.'],
                               definition='Hermoso, bello, grato a la vista.',
                               examples=[],
                               synonyms=['bonito',
                                         'bello',
                                         'hermoso',
                                         'precioso',
                                         'exquisito',
                                         'agraciado',
                                         'guapo',
                                         'majo'],
                               antonyms=['feo']),
                   DefinitionX(types=['adj.'],
                               definition='Perfecto, primoroso y exquisito.',
                               examples=[],
                               synonyms=[],
                               antonyms=[])],
      phrases=[Phrase(phrase='lindo don Diego',
                      definition=[Definition(types=['m. coloq.', 'desus.'],
                                             definition='lindo (‖ hombre que '
                                                        'presume de guapo).',
                                             examples=[])])])]

Warning

For now it is used by me myself and I for generating anki flashcards. It may never be on feature parity with pyrae. But we shall see.

Metadata

Release files for raebot 0.2.0

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

Source distribution (sdist)

Source distribution for raebot 0.2.0
File Size Uploaded Provenance Actions
raebot-0.2.0.tar.gz 3.3 kB Without provenance Details for raebot-0.2.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for raebot 0.2.0
File Interpreter ABI Platform Actions
raebot-0.2.0-py3-none-any.whl Python 3 none any Details for raebot-0.2.0-py3-none-any.whl

Total release size: 7.2 kB

Release files / raebot-0.2.0.tar.gz

Download URL raebot-0.2.0.tar.gz
Size 3.3 kB
Tags Source
SHA-256 checksum
How to use checksums
f8e0f779db4588ca14b5ed8cf5f0c1318f699b6a2f19f0ca9b77b0d7cbdc5363
BLAKE2b-256 checksum
How to use checksums
1b1657cb60d525c1cf669899f43062e0949d175242d105b1c0abe3858387ea32
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.7.1 CPython/3.12.1 Darwin/23.2.0

Release files / raebot-0.2.0-py3-none-any.whl

Download URL raebot-0.2.0-py3-none-any.whl
Size 3.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ee44b4640f22ffaf4e36b5ec585859d0ad169da83db52929c195698023097abb
BLAKE2b-256 checksum
How to use checksums
084a93538ee3993923bc9e608eb47f2a001c9c2b53e3b3630b512f1e51bb0cef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.7.1 CPython/3.12.1 Darwin/23.2.0

Security for raebot 0.2.0

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