semvec/pypi-packages huggingface dataset:
TeleVisuals-pkg 0.0.2
A package to help you visualize exports from telegram chats
Requires Python: >=3.6

# Introduction

The purpose of the package is to help you to visualize the chat messages from a Telegram Chat Group. It is still in development and the features are not extensive. As of now, there are 4 main features in this package (with hopes of more being added)

# Installation

```python
pip install TeleVisuals
```

# Usage

```python
from TeleVisuals import TeleVisuals as tv
```

# Functions

### Clean Data

```python
tv.chat_clean(json_file_path)
```

This function allows you to clean the json export from your telegram chat. The output is a cleaned pandas dataframe with your messages organised by "from", "time", and "messages". 

### Visualise most commonly used words and custom words

```python
tv.common_word(dataframe, no_of_words)
tv.custom_words(dataframe, list_of_words)
```

These functions allow you to visualise words used in your chat. The `common_word` function will allow you to select how many words you want to visualise while the `custom_words` function will allow you to input a list of words that you want to visualise. 

### Visualise user replies and user responses

```python
tv.user_talk(dataframe)
tv.user_replies(dataframe)
```

These functions allow you to visualise the number of times each user spoke and the number of times each user responded to another user. Good to see who is the most talkative one amongst your friends.

# Dependencies 

[Pandas](https://github.com/pandas-dev/pandas): Self-explanatory (who doesn't need pandas?)

[plotly.express](https://github.com/plotly/plotly_express): To enable the visualisations

[json](https://github.com/python/cpython/tree/master/Lib/json): To parse the json file from Telegram chat export
handtools 1.0.2
useful toolset

==========
handtools
==========


Install
========

.. code:: bash

  pip install handtools


Features
=========

  Improved  ``http.server`` with features

  - upload file
  - highlight source code preview
  - preview rst and md as rendered
  - preview swagger file
  - live preview for rst file


Usage
======

.. code:: bash

  python -m handtools runserver --bind=0.0.0.0:9000
jirazephyrupdate 1.4
Utility for zephyr jira

What is it?


This is a plugin to update test results in Jira in Zephyr plugin. It supports any automation framework. 

Why should I make it?



This plugin helps to fater update of test results. 

Who should make it?


Any one who is using Zephyr Plugin in Jira can use this plugin to update test results.


When should I make it?


This plugin we should use along with our automation script. We can also use to update test results 

Where should I put it?


Any automation farmework can use this. We can also use this plugin to update standalone

How should I make it?

[if testcases inside folder]


zephyr = ZephyrTestUpdate(<JiraServerUrl>, <USERNAME>, <PASSWORD>, <JIRA_PROJECT>, <VERSION>, <CYCLE_NAME>, <FOLDER_NAME>)


[if testcases inside cycle]
zephyr = ZephyrTestUpdate(<JiraServerUrl>, <USERNAME>, <PASSWORD>, <JIRA_PROJECT>, <VERSION>, <CYCLE_NAME>)
zephyr.createTestCycle(<CYCLE_NAME>, <startdate>, <enddate>) [dates should be in mm/dd/yy]
zephyr.Create_Folder_under_cycle(<CYCLE_NAME>, <FOLDER_NAME>)
zephyr.AddTestCasesToCycle(<TEST-CASE-LABEL>, <CYCLE_NAME>, <FOLDER_NAME>)
zephyr.updateExecution(<JIRA-ISSUE-KEY>, <STATUS>, <LOG-if-it has>)
zephyr.bulkUpdateCompleteFolder(<STATUS>) [this will update whole folder/cycle]
zephyr.bulkUpdateExecution(<STATUS>, <JIRA-ISSUE-KEY1>,  <JIRA-ISSUE-KEY2>,  <JIRA-ISSUE-KEY3>) [this will upadte status of multiple keys]
pacifica-auth 1.3.0
Pacifica Authentication Library

# Pacifica Template Repository
![PyPi](https://img.shields.io/pypi/v/pacifica-auth.svg)
[![Read the Docs](https://readthedocs.org/projects/pacifica-auth/badge/?version=latest)](https://pacifica-auth.readthedocs.io/en/latest/?badge=latest)


This is a generalized authentication library built around CherryPy,
SQLAlchemy and Python Social Auth.