semvec/pypi-packages huggingface dataset:
wikiseriesarjanlib 0.0.0
Lib to use Wikipedia to query TV series
License: MIT
Keywords: wikiseriesarjanlib

==================
wikiseriesarjanlib
==================

Lib to use Wikipedia to query TV series


* Documentation: https://wikiseriesarjanlib.readthedocs.org/en/latest


Development Workflow
====================

The workflow supports the following steps

 * lint
 * test
 * build
 * document
 * upload
 * graph

These actions are supported out of the box by the corresponding scripts under _CI/scripts directory with sane defaults based on best practices.
Sourcing setup_aliases.ps1 for windows powershell or setup_aliases.sh in bash on Mac or Linux will provide with handy aliases for the shell of all those commands prepended with an underscore.

The bootstrap script creates a .venv directory inside the project directory hosting the virtual environment. It uses pipenv for that.
It is called by all other scripts before they do anything. So one could simple start by calling _lint and that would set up everything before it tried to actually lint the project

Once the code is ready to be delivered the _tag script should be called accepting one of three arguments, patch, minor, major following the semantic versioning scheme.
So for the initial delivery one would call

    $ _tag --minor

which would bump the version of the project to 0.1.0 tag it in git and do a push and also ask for the change and automagically update HISTORY.rst with the version and the change provided.


So the full workflow after git is initialized is:

 * repeat as necessary (of course it could be test - code - lint :) )

   * code
   * lint
   * test
 * commit and push
 * develop more through the code-lint-test cycle
 * tag (with the appropriate argument)
 * build
 * upload (if you want to host your package in pypi)
 * document (of course this could be run at any point)


Important Information
=====================

This template is based on pipenv. In order to be compatible with requirements.txt so the actual created package can be used by any part of the existing python ecosystem some hacks were needed.
So when building a package out of this **do not** simple call

    $ python setup.py sdist bdist_egg

**as this will produce an unusable artifact with files missing.**
Instead use the provided build and upload scripts that create all the necessary files in the artifact.



Project Features
================

* TODO




History
-------

0.0.1 (25-05-2023)
---------------------

* First code creation
sleuren 1.0.8
Server monitoring agent
License: MIT
Keywords: sleuren monitoring agent

# Agent

Server Monitoring (sleuren.com) is a web service that monitors and displays statistics of your server performance.

Agent is OS agnostic software compatible with Python 2.7, 3.5, and 3.6. It's been optimized to have low CPU consumption and comes with an extendable set of useful plugins.

[![Build Status](https://github.com/sleuren/agent/workflows/Agent-Test-And-Deploy/badge.svg?branch=main)](https://github.com/sleuren/agent/actions/workflows/test-and-deploy.yml)

## Documentation

You can find the full documentation at [docs.sleuren.com](https://sleuren.com/docs).

## Automatic Installation (All Linux Distributions)

You can install the default configuration of Sleuren on all Linux distributions with just one click.

1. Connect to your server via SSH.

2. Find your `TOKEN`. To do so, [go to the project installation page](https://sleuren.com/dashboard).

3. Run the following command:

  ```sh
  wget -q -N https://sleuren.com/sleuren.sh && bash sleuren.sh TOKEN
  ```

## Manual Installation

To customize installation options, install sleuren agent manually.

1. Connect to your server via SSH.
2. Run the following command, which differs depending on your server platform:

    - Debian GNU/Linux:

        ```sh
        apt-get install python3-devel python3-setuptools python3-pip
        pip3 install sleuren
        wget -O /etc/sleuren.ini https://sleuren.com/scripts/sleuren.ini
        ```

    - Fedora/CentOS version 6 or earlier (python 2.7):

        ```sh
        yum install python-devel python-setuptools gcc
        easy_install sleuren netifaces psutil
        wget -O /etc/sleuren.ini https://sleuren.com/scripts/sleuren.ini
        ```

    - Fedora/CentOS version 7 and later (python 3):

        ```sh
        yum install python36-devel python36 gcc
        pip3 install sleuren
        wget -O /etc/sleuren.ini https://sleuren.com/scripts/sleuren.ini
        ```

3. Find your `TOKEN`. To do so, [go to the project installation page](https://sleuren.com/dashboard).

4. Run the following command (TOKEN is the one you got during the previous step):

    ```sh
    sleuren hello TOKEN /etc/sleuren-token.ini
    ```

5. Create a systemd service at `/etc/systemd/system/sleuren.service` by adding the following:

    ```ini
    [Unit]
    Description=Sleuren agent
    [Service]
    ExecStart=/usr/local/bin/sleuren
    User=sleuren
    [Install]
    WantedBy=multi-user.target
    ```

6. Run the following command:

    ```sh
    chmod 644 /etc/systemd/system/sleuren.service
    systemctl daemon-reload
    systemctl enable sleuren
    systemctl start sleuren
    ```