Connect Reports Core
Project description
Connect Reports Core
Introduction
Connect Reports Core is the kernel package for handling reports on CloudBlue Connect Ecosystem.
This library is reponsible for validation of reports definition, choosing of renderer for parsing process and writing results of reports execution.
Install
Connect Reports Core requires python 3.8 or later and has the following dependencies:
- openpyxl>=2.5.14
- WeasyPrint>=53.4
- Jinja2>=2.11.3
- jsonschema<=3.2.0
- pytz>=2021.1
- lxml>=4.7.1
Connect Reports Core can be installed from pypi.org using pip:
$ pip install connect-reports-core
Testing
On MacOs:
- Install system dependencies
brew install py3cairo pango
- Create virtualenv
- Install project dependencies
pip install poetry
poetry update
- Run tests
poetry run pytest
License
Connect Reports Core is released under the Apache License Version 2.0.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file connect-reports-core-25.0.0.tar.gz.
File metadata
- Download URL: connect-reports-core-25.0.0.tar.gz
- Upload date:
- Size: 15.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.14 CPython/3.10.5 Linux/5.13.0-1031-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e7c0511206d5295177eab5cb57e26abda841cd1ba68cc79c57a8aaa93519eb4d
|
|
| MD5 |
3d25596a788c71d64d4c97adc255d0f3
|
|
| BLAKE2b-256 |
173191a9dac32594fa0823ca3c9fe921687497b6856a1bb2830def17093cfe8a
|
File details
Details for the file connect_reports_core-25.0.0-py3-none-any.whl.
File metadata
- Download URL: connect_reports_core-25.0.0-py3-none-any.whl
- Upload date:
- Size: 19.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.14 CPython/3.10.5 Linux/5.13.0-1031-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ccc60a5e932f0df09c3dfa0b1639813af4fbb4c03b388784730e3d4b8111d2a3
|
|
| MD5 |
ae7993afc9fdea4eb34a787fa84a0092
|
|
| BLAKE2b-256 |
e0ecb7c410181890c88e3014e055d607787e92857ff43576035e30b4e7c2db7f
|
