semvec/pypi-packages huggingface dataset:
txtpy 1.0.0
Processor Text Fabric Data
Requires Python: >=3.7.0
Keywords: text,linguistics,database,graph,hebrew,bible,peshitta,quran,cuneiform,uruk,greek,syriac,akkadian,babylonian

Tools to read text corpora with (linguistic) annotations
and process them efficiently.
More info on https://annotation.github.io/txtpy/txtpy
sentry-oss-nodestore 0.0.4
sentry oss node store
Requires Python: >=3.5

# Example Package

sentry==21.6.1
oss2==2.14.0

This is a simple example package. You can use
[Github-flavored Markdown](https://guides.github.com/features/mastering-markdown/)
> 测试命令行工具
```
tfd a1 a2
```

> 测试脚本内容
```
    >>> import sentry_oss_nodestore
    >>> sentry_oss_nodestore.__version__
```

> 用法，配置
```
SENTRY_NODESTORE = 'sentry_oss_nodestore.backend.OSSNodeStorage'
SENTRY_NODESTORE_OPTIONS = {
    'prefix': '',
    'bucket_name': 'tt-sentry',
    'endpoint': 'oss-us-east-1-internal.aliyuncs.com',
    'oss_access_key_id': '1111',
    'oss_secret_access_key': '1111'
}
    
```
django-kafka-event-log 0.1.6
A Django app to store an event and publish the event to Kafka
Requires Python: >=3
Keywords: django kafka event-log

======================
Django Kafka Event Log
======================
Create an event from Django ORM object model, store the event into the database and also publish it into Kafka cluster.

Quick start
-----------
1. Install the package::

    pip install django-kafka-event-log

2. In your project's `settings.py`, include the app and add credentials for Kafka::

    INSTALLED_APPS = [
        ...
        'events',
    ]

    KAFKA_GROUP = 'KAFKA_GROUP'
    KAFKA_BOOTSTRAP_SERVERS = 'KAFKA_BOOTSTRAP_SERVERS'
    KAFKA_SECURITY_PROTOCOL = 'KAFKA_SECURITY_PROTOCOL'
    KAFKA_SASL_MECHANISMS = 'KAFKA_SASL_MECHANISMS'
    KAFKA_SASL_USERNAME = 'KAFKA_SASL_USERNAME'
    KAFKA_SASL_PASSWORD = 'KAFKA_SASL_PASSWORD'

3. Note: the credential should be read from environment variables.

4. This application has only 1 interface; it is `PublishKafkaEventUtil`. Given `myapp` is where the model object locates, `MyModelSerializer` is the data presenter, we can call the Util like this::


    from events.utils import PublishKafkaEventUtil
    from myapp.serializers.mymodel_serializer import MyModelSerializer

    PublishKafkaEventUtil.call(
        event_name='Created',
        model_object=model_obj,
        serializer=ModelSerializer,
        metadata={'purpose': 'testing'},
    )


.. image:: https://codecov.io/gh/DiagVN/django-kafka-event-log/branch/develop/graph/badge.svg?token=2FtNkItJO7
      :target: https://codecov.io/gh/DiagVN/django-kafka-event-log