semvec/pypi-packages huggingface dataset:
smartetailing 0.4.5
Connect to the smartetailing website order feeds
License: MIT

# Smartetailing Package
This package provides a simple, thin wrapper around the 3 major smartetailing endpoints. It also provides a Pythonic
object representation of the order xml export. `v2.00` is the XML version currently required. 
## Examples
* Basically, just instantiate `SmartetailingConnection()` object and call the public methods.
  ````
  from smartetailing import connection, objects
  
  connect_website = connection.SmartetailingConnection(base_url='www.example.com/webservices/xml/feeds.cfc', merchant_id=01234, urlkey='SECRET')
  orders = list(connect_website.export_orders())  # List[WebOrder]
  connect_website.confirm_order_receipts([o.id for o in orders])
  connect_website.update_order_status(orders[0].id, 'Completed')
  ````
* TODO - Doc comments need to be better
## Notes
* Currently only supports smart etailing order export v2. Support for v1 could be added if requested.
* Setup instructions from here: https://realpython.com/pypi-publish-python-package/
hns-logicmonitor-api 21.7.2
Logicmonitor API
License: MIT
Requires Python: ~=3.6

# hns_logicmonitor_api
Logicmonitor API.

This is mainly built to get data from logicmonitor, especially the optical stats about ONTs. Any other method apart from `get` would need 
to be implemented in the `LMBase` class

## Installation
`pip install hns-logicmonitor-api`

## Usage
```python
from hns_logicmonitor_api import LogicMonitor

with LogicMonitor(
    account_name='account', 
    access_id='test_id', 
    api_key='test_api_key',
    global_timeout=5
) as logic_monitor:
    # Call API here
```
Jare 0.0.3
A module for A.I
License: MIT
Keywords: A.I

Installing Jare


Since this is a python module, you have to have the module installed. 
Know since I do have a windows and not mac or linux it might be a bit different but 
mostly it is the same.

To install Jare, simply open Command Promt(For Mac or Linux it is different, 
you can google "how to install packages in mac/linux" if you have any of those) 
and then type:

pip install jare


Commands:


1.jare_run_list


This Command takes 3 values:

1.Input value (input(x))


2.Questions list (questions = ["Hello", "How are you doing"])


3. Answers List (answers = ["Hi", "I am fine, Thank You!"])


BEFORE YOU CODE:
MAKE SURE THAT THE INDEX OF THE QUESTION AND THE ANSWER LIST ARE THE SAME 
FOR EXAMPLE: IF YOU WANT THE BOT TO SAY Hi WHEN THE USER ASKE'S hello AND 
IF YOU WANT THE BOT TO SAY I am fine, Thank You! WHEN THE USER ASKE'S How are you doing
THEN THE INDEX OR THE STRINGS HAVE TO BE IN THE SAME ORDER


questions = ["Hello", "How are you doing"]


answers = ["Hi", "I am fine, Thank You!"]


Then it simple combines it in to a dictionary and then ask's the user for an input and 
then prints out the responses



2.jare_run_dictionary


This is very similar to the 1st Command. Simply it takes two values the input value
and the dictionary. Make sure that the dictionary is something like this:

dictionary = {"Hello":"Hi", "How are you":"I am fine thank you!"}



then ask's the user for an input and then prints out the responses


Change Log
==========

0.0.1 (11/07/2021)
------------------
- First Release
- Added jase_run
- Changed Name



0.0.2 (11/07/2021)
------------------
- Changed Name
- Added more info in README.md
sentry-dingtalk-jedoreee 1.0.1
A sentry extension integrates DingTalk robot webhook
License: MIT
Requires Python: >=3.6.13
Keywords: sentry dingtalk

# Sentry DingTalk

Sentry 集成钉钉机器人通知

## Requirments 
- sentry >= 21.5.1

## 特性
- 发送异常通知到钉钉
- 支持钉钉关键字、签名
- 配置环境变量
  - DINGTALK_WEBHOOK: Optional(string)
  - DINGTALK_CUSTOM_KEYWORD: Optional(string)
  - DINGTALK_SIGNATURE: Optional(string)
## 快速使用
### 安装
1. 使用 `pip` 命令
    ```bash
    $ pip install sentry-dingtalk-jedoreee
    ```

2. 写入依赖文件 `onpremise-xxx/sentry/requirements.txt`
    ```bash
    $ echo sentry-dingtalk-jedoreee >> requirements.txt
    ```

### 钉钉机器人
[配置](https://developers.dingtalk.com/document/app/custom-robot-access)钉钉机器人并拿到对应的 webhook, 可以对机器人设置 关键词、签名、IP限制

### 配置
在 Sentry 面板 Settings > Integrations 中找到 DingTalk 并配置 webhook、关键词等信息，添加项目，创建告警规则

### 测试
1. Enable Plugin
2. Test Plugin