Skip to main content

Konga client library

Project description

Current version Supported Python versions LGPL v3 License Build Status

Libreria Python di comunicazione con i server EasyByte Konga. Tramite kongalib è possibile connettersi ad un server Konga (integrato in Konga Pro o standalone in Konga Server), eseguire query sui database e manipolarne i dati facilmente. La libreria comprende anche i moduli aggiuntivi kongaui e kongautil, utili ad interfacciarsi ed integrarsi con Konga e Konga Client.

Installazione

Sono forniti pacchetti wheel binari per sistemi operativi Windows, macOS e Linux; l’installazione per questi sistemi è pertanto banale e si effettua tramite pip:

pip install kongalib

Compilazione manuale

Se si desidera è possibile compilare i sorgenti. I prerequisiti per compilare kongalib sono i seguenti:

Windows

Sono supportate le versioni di Windows dalla 7 in su. Come prerequisiti è necessario installare:

MacOS X

Sono supportate le versioni di macOS dalla 10.8 in su. Come prerequisiti è necessario installare:

  • XCode (assicurarsi di aver installato anche i tool da linea di comando)

  • SDK di Konga

Linux

Benchè il pacchetto binario wheel per Linux supporti tutte le distribuzioni Linux moderne (specifica manylinux), al momento la compilazione da parte di terzi è supportata ufficialmente solo se si usa una distribuzione Linux basata su Debian, in particolare Ubuntu Linux dalla versione 16.04 in su. Sono necessari i seguenti pacchetti deb:

La compilazione è possibile tramite la usuale procedura dei pacchetti Python:

python setup.py install

Risorse

Documentazione di kongalib

La documentazione della libreria per la versione ufficiale corrente e per le versioni ufficiali passate è sempre accessibile da qui.

Documentazione del dizionario dei dati

Per informazioni circa la struttura dei database Konga (nozione necessaria per accedere correttamente ai dati)

Script di utilità comune per Konga

Gli script contenuti in questo repository possono essere utati come esempi nell’uso di kongalib.

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

kongalib-2.0.0.tar.gz (191.1 kB view details)

Uploaded Source

Built Distributions

kongalib-2.0.0-cp311-cp311-win_amd64.whl (3.4 MB view details)

Uploaded CPython 3.11 Windows x86-64

kongalib-2.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

kongalib-2.0.0-cp311-cp311-macosx_10_10_universal2.whl (1.1 MB view details)

Uploaded CPython 3.11 macOS 10.10+ universal2 (ARM64, x86-64)

kongalib-2.0.0-cp310-cp310-win_amd64.whl (3.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

kongalib-2.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

kongalib-2.0.0-cp310-cp310-macosx_10_10_universal2.whl (1.1 MB view details)

Uploaded CPython 3.10 macOS 10.10+ universal2 (ARM64, x86-64)

kongalib-2.0.0-cp39-cp39-win_amd64.whl (3.4 MB view details)

Uploaded CPython 3.9 Windows x86-64

kongalib-2.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

kongalib-2.0.0-cp39-cp39-macosx_10_10_universal2.whl (1.1 MB view details)

Uploaded CPython 3.9 macOS 10.10+ universal2 (ARM64, x86-64)

kongalib-2.0.0-cp38-cp38-win_amd64.whl (3.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

kongalib-2.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

kongalib-2.0.0-cp38-cp38-macosx_10_10_x86_64.whl (636.2 kB view details)

Uploaded CPython 3.8 macOS 10.10+ x86-64

kongalib-2.0.0-cp37-cp37m-win_amd64.whl (3.3 MB view details)

Uploaded CPython 3.7m Windows x86-64

kongalib-2.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

kongalib-2.0.0-cp37-cp37m-macosx_10_10_x86_64.whl (635.9 kB view details)

Uploaded CPython 3.7m macOS 10.10+ x86-64

kongalib-2.0.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

File details

Details for the file kongalib-2.0.0.tar.gz.

File metadata

  • Download URL: kongalib-2.0.0.tar.gz
  • Upload date:
  • Size: 191.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for kongalib-2.0.0.tar.gz
Algorithm Hash digest
SHA256 7b732f5d5243ee064dd7319131f937e848c01baf9a1bd6d3503bf2f0b1614a4a
MD5 70e0dedee5e59e3e2819936525af4546
BLAKE2b-256 b90be0c9650a64d5aba77f448b8b932a483a812f8566b02b5060f0cb733e4701

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for kongalib-2.0.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 c0223db91fcb0b44c145f373c605533c7d7c0208c2aaf0fbbd99184130d1cb4e
MD5 6710768789e8917082ab3fbb7f24a0fe
BLAKE2b-256 84b4b8cabfbb44a6679401b0ef28382732249a7df5e68ae392d0f624fdd53695

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kongalib-2.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d4f76407d1307330eded54c869170a2a3cde9eb73e5b6f2801263c325fcc5f2c
MD5 bced9df4552419afe1b3ab69705e2d37
BLAKE2b-256 707543af26c95cc32269364fe6f804271649cbe3cec44e1e9413da348df4aec6

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp311-cp311-macosx_10_10_universal2.whl.

File metadata

File hashes

Hashes for kongalib-2.0.0-cp311-cp311-macosx_10_10_universal2.whl
Algorithm Hash digest
SHA256 3ad897e19aa8c3d6a4c076e06e99d889f858cc7594d276d3241828f9b15fb43b
MD5 73e7061e8e4e33bdda0dc47db48bb275
BLAKE2b-256 e59fd9c1d544f4bf29c03952a9f5e61cda3012a9fb858ee8a43432b67f71f76f

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for kongalib-2.0.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 9dadad859d7e0e1d10e12a14f52a55e2624e9e009cc65d6e57b7c57b014531af
MD5 30a9a1c42ea943bdc21d9994e880b95f
BLAKE2b-256 3c12191e7b069c1a2ac4d9714c85b3802062a2a641dc4d9fb99a7d9f5a45d8af

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kongalib-2.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 33dbd068da359f514ec31c078d83189476ca749890b3307505ed35491cb3daec
MD5 4fce2307818ca3119cd35bf8f411a40d
BLAKE2b-256 d7a7b16e8c9e594810fd6ec650575721c55c978ebc3c01ebc92dbb44cc424607

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp310-cp310-macosx_10_10_universal2.whl.

File metadata

File hashes

Hashes for kongalib-2.0.0-cp310-cp310-macosx_10_10_universal2.whl
Algorithm Hash digest
SHA256 ca010291c7ee507f3199924dcc5ebd04914d62fa341b5211d93bf2436bb91f18
MD5 0c52ca781d22bbdca70292bcaa5bd61a
BLAKE2b-256 f20527dbb7df77d05a70a2958eed96e10f35e6d12c382b5e4565e6e1037d14ec

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: kongalib-2.0.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 3.4 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for kongalib-2.0.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 85c938bb9a50c07464d34cc135908d99348a438fb61312a0991ab45c19416917
MD5 1eaaa9747fa28673aa6910eb4139cb26
BLAKE2b-256 ae8413824ab75c3bd7615f95b0cf36b0bf8277cd20715c2dc87f50a6e8859c94

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kongalib-2.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 400ca24a46ae10fbdb8541169314b607a79bce1dd27e58e6f4b942fef65e8aa0
MD5 31190a521010ef6b29c1b8f355a00ec3
BLAKE2b-256 7785fa89016ccad0848e07e2c1f99897a4ffdd3af51a6a510324331b91677afc

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp39-cp39-macosx_10_10_universal2.whl.

File metadata

File hashes

Hashes for kongalib-2.0.0-cp39-cp39-macosx_10_10_universal2.whl
Algorithm Hash digest
SHA256 05d9b4989fec9a85c3b84f502156ae9749c609d43eadce714541760fa3e22511
MD5 8e7bc2c89a018da6ae2be8cef77336fb
BLAKE2b-256 efce2f782b37133d9662ceac92ce9f505e4171de08e47e7be00f5704cc44d4dd

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: kongalib-2.0.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 3.4 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for kongalib-2.0.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 cf416a3fb6475e73fb103e4732a5f8f838421dcf020e2f34b284300a88f2a5b3
MD5 824c36b70feb821baf1446101a93fd0c
BLAKE2b-256 edbb5b8940bee6ebe9809c8370d26667d3a663a994dcbb0943b85770fd4604ea

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kongalib-2.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d9d06833d98a1fc0dd882b8283ce233d8cc5f0b10746656ae586d4cce836772b
MD5 06e25b6f909f8efda3965918db8d4c90
BLAKE2b-256 4bff321ef7e991838270f00ad901807706f0038f5d12e3045c7814e1db54b0b3

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp38-cp38-macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for kongalib-2.0.0-cp38-cp38-macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 15896d953254fc63cc6a62e7153b13745cbaaf08f9972fc6f34107105d64a059
MD5 ce2e233d75b4c681ec83863980a7e008
BLAKE2b-256 3de0e1aa7d64a24ff06cafc0ec7bd7a5a827d98845edcfd6fda33ae7c940b28e

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: kongalib-2.0.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 3.3 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

File hashes

Hashes for kongalib-2.0.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 42a24ed368267898a4ba58b219577a4403b8bb7872d66128dc19cc741593dc5d
MD5 bd131b53e9fff09d6041807e27af9c23
BLAKE2b-256 7d0bf2867586a71a8b3a902dad458a579403801f1f5202cf461f099f1314b296

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kongalib-2.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dab9e3fd7d5fa7e5207c4273271b7c8ec645d4c8a6c3d8eb032bf1a107d7b264
MD5 1165d5db5c97d81c04817c92420e5932
BLAKE2b-256 06978a322c6780651f39d0c248f314d3dfb627a9c70b30b466e3f60f7df23ae0

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp37-cp37m-macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for kongalib-2.0.0-cp37-cp37m-macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 a15cb293f03db9b81238916a532d00329eeb0066a1f5ada18639d9fa8dd80cf2
MD5 8eeb94eac52a65d460d0069104794d54
BLAKE2b-256 f11a7e8a3c6390e2ef52c3d0c400f77f984b9bfc2951ba26b711f551252c1ac7

See more details on using hashes here.

File details

Details for the file kongalib-2.0.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kongalib-2.0.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7c6febe2c5b047472bfafd5d188cb70ed6979f349e95b6ba03620a8d14076eec
MD5 b1bdfbbeb0e940b322bb4756982f71b8
BLAKE2b-256 414340d453c9f3a9f20397d1e82b6f4644e7a4404616a3e5bb7e5fab7f388de1

See more details on using hashes here.

Supported by

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