semvec/pypi-packages huggingface dataset:
airflow-notify-sns 0.0.2
Publish Airflow notification errors to SNS Topic

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# Publish Airflow Notification to a SNS Topic

This package adds a callback function to use in failures to DAGs and Tasks in a Airflow project. 


## Installation

```bash
pip install airflow-notify-sns
```


## Usage

```python
from datetime import timedelta

# Airflow native imports to create a DAG
from airflow import DAG, utils
from airflow.operators.bash_operator import BashOperator

# Here is function import
from airflow_notify_sns import airflow_notify_sns

# Dag Definition
dag = DAG(
    dag_id='test_dag',
    default_args={
        'owner': 'airflow',
        'depends_on_past': False,
        'start_date': utils.dates.days_ago(1),
        'retries': 3,
        'retry_delay': timedelta(minutes=5)
    },
    schedule_interval="@daily",
    dagrun_timeout=timedelta(minutes=60),
    sla_miss_callback=airflow_notify_sns,
    on_failure_callback=airflow_notify_sns
)

# Add your tasks here
t = BashOperator(
    dag=dag,
    task_id='test_env',
    bash_command='/tmp/test.sh',
    env={'EXECUTION_DATE': '{{ ds }}'},
    on_failure_callback=airflow_notify_sns
)
```

When DAG or tasks ends in error, a notification will be send to a SNS Topic using AWS default connection (`aws_default`). 

## Required Variable

This module will try to find a variable named `airflow_notify_sns_arn` in your Airflow environment, containing SNS Topic ARN where message will be published to. 

If variable is not found, function will abort execution with no error.
hatena2md 0.1.0
Python application to convert Hatena Notation (はてな記法) to Markdown
Requires Python: >=3.6

# Hatena2MD

A small python application to convert text from Hatena Notation (はてな記法) to Markdown.
Hatena Notation has some nifty features (like automatic table of content generation, automatic link title fetching) that are implemented into this converter.

Take a look at this [sample file in Hatena Notation](https://github.com/schroeding/hatena2md/blob/master/sample_hatena.txt) and its representation in [markdown](https://github.com/schroeding/hatena2md/blob/master/sample_markdown.md)


## Installation

```bash
python -m pip install hatena2md
```

## Usage

```bash
python -m hatena2md -i <inputfile> -o <outputfile>
```

## License

[The Unlicense](https://choosealicense.com/licenses/unlicense/)