semvec/pypi-packages huggingface dataset:
dataman 0.1.0
Json & Yaml file parse tools.
License: MIT
Keywords: dataman,json,yaml

# dataman

Json & Yaml file parse tools.

## Install

```shell
pip install fastutils
```

## Installed Utils

- json
   - get
- yaml
   - get

## Bug report

Please report any issues at https://github.com/zencore-cn/zencore-issues.

## Releases


### v0.1.0 2020/08/13

- First release.
- Add json.get and yaml.get tools.
- Output unquote support.
DetectBinod 0.0.2
Detect Binod In Files
License: MIT

# DetectBinod


DetectBinod is a python lib for detecting binod from docx, ppt, txt , pdf, xlsx files


# New Features!

  - Now it is possible to detect Binod in ppt files also 
  - Now, just import DetectBinod and pass filename

# Functions: 
```
import DetectBinod as db
db.isBinod_txt(filename)
db.isBinod_docx(filename)
db.isBinod_pdf(filename)
db.isBinod_xlsx(filename)
db.isBinod_ppt(filename)

# Output will reflect on terminal
```



### Installation


Install the dependencies and devDependencies and start the server.

```
pip install DetectBinod
```
You can reach out me at, 
- akshagpawar15@gmail.com
-
feishu-plain-message 1.0.1
Send Plain Message To Feishu
License: MIT

(一)：安装

-  从 PYPI 安装

::

    pip install -U  feishu-plain-message

-  从 Github 安装

::

    pip install git+https://github.com/yinhuanyi/feishu-plain-message.git


(二)：使用方法

::

    from feishu_message import FeishuPlainMessage

    if __name__ == '__main__':
        feishu = FeishuPlainMessage('13970236750', 'cli_9f9b87ccdsc970d00b', 'SVWv3GtMxkVlPgo0feOsdsUhyA728025qnf')

        feishu.send_message('工单类型+工单ID', '工单基本内容')
herbie-aws-sns-sqs-adapter 1.0b1
Herbie Adapter for messaging publishing to AWS SNS/SQS
License: MIT
Requires Python: >=3.6

# AWS SNS/SQS Adapter

This Adapter is based on Django and provides a way to publish messages to AWS SNS/SQS. 

The default configuration creates a single SNS Topic on which a single SQS Queue subscribes for new messages.

An example [SQS consumer](example_consumer) is also available.

It is meant to be used with [Herbie](https://github.com/herbie/herbie).

## Installation

The package already provides a Django app that just needs to be registered in the main Django app using Herbie.

1. Run the following
```
    pip install herbie-aws-sns-sqs-adapter
```

or add it to your app requirements.txt and update them running:

    pip install -r requirements.txt

2. Add the adapter App to Django Installed Apllications:

```
INSTALLED_APPS = [
    ...
    'aws_sns_sqs_adapter.apps.HerbieAwsSnsSqsAdapterConfig',
    ...
]
```

3. Configure the _AWS environment variables_:

```
AWS_ACCESS_KEY_ID="access_key",
AWS_SECRET_ACCESS_KEY="secret_key",
AWS_SQS_SNS_ENDPOINT_URL="sns_sqs_endpoint",
AWS_SQS_SNS_REGION="sns_sqs_region",
```

4. Run command to create the SNS/SQS Topics/Queues according to the schemas available. 
This command will create 1 SNS Topic and 1 SQS Queue per schema available; the queue will subscribe to the respective created topic.

```
python manage.py init_sns_sqs
```

An example Django application using this adapter can be found at the [Herbie Sandbox](https://github.com/herbie/sandbox) repository.

## Developing/Testing

If you would like to further improve this package you'll need to install the dev/test requirmeents. 

To to this run in your `virtual environment`

```
    pip install -e .[tests]
```

This will install the needed packages (e.g: `pytest`) to run/test locally the package

### Black Formatter

This package uses [Black](https://github.com/psf/black) as a code formatter. You should run it before 
pushing the code as the CI pipeline checks against it.

```
    black --line-length 119 .
```