semvec/pypi-packages huggingface dataset:
bazze-json-logger 0.0.3
Simple tool for standardizing logging to JSON.
Requires Python: >=3.7

# json-logger

Import into your Python project to standardize logs to JSON format.  Works well with AWS CloudWatch and AWS Lambda Functions.

## Installation

```bash
pip install -U bazze-json-logger
```

## Usage

This package sets up a JSON formatter for the Python root logger.  In order for this to work properly, be sure to run this package before setting up any new loggers.

```python
import logging

import bazze_json_logger

logging.basicConfig(level=logging.INFO)

bazze_json_logger.setup()

logger = logging.getLogger()
logger.info('Hello World!')
```

Output

```bash
>>> {"timestamp": "2020-09-30T00:15:39.667110Z", "level": "INFO", "name": "root", "message": "Hello World!", "schema_version": "0.0.2"}
```

## AWS Lambda Integration

When using AWS Lambda it is nice to have the `aws_request_id` as part of the JSON object for tracing purposes.  To do this we need to pass it into the `setup()` method.

```python
import logging

import bazze_json_logger

logging.basicConfig(level=logging.INFO)


def lambda_handler(event, context):
    bazze_json_logger.setup(aws_request_id=context.aws_request_id)
    logger = logging.getLogger()
    logger.info('Hello World!')
```


## Viewing the logs on AWS

Logs can be viewed locally in your terminal when testings.  When the application is deployed, they will show up in the CloudWatch group in JSON format.

To view the CloudWatch logs in your console:

Install awslogs

```bash
pip install -U awslogs
```

Export AWS_PROFILE

```bash
export AWS_PROFILE=bazze
```

To view all log groups:

```bash
awslogs groups
```

To tail your log group:

```bash
awslogs get /aws/lambda/your-function --since 5m --watch
```

To query and aggregate the logs, I recommend using CloudWatch Insights.
similar.py 1.0
Find similar text easily
Requires Python: >= 3.6

# similar
A dependency less python library made for finding similar text inspired from [similar](https://pypi.org/project/similar)

# Usage
```py
import similar

match = similar.best_match("apply", ["pickle", "apple", "orange"])
print(match)
> apple
```

# Extras
Also works with

file -

```py
import similar

match = similar.best_match("apply", open("words.txt", "r"))
print(match)
> apple
```

or generator object

```py
import similar

def genwords():
    for word in ["picke", "apple", "orange"]:
        yield word
		
match = similar.best_match("apply", genwords())
print(match)
> apple
```