semvec/pypi-packages huggingface dataset:
tclambda 0.0.12
AWS Lambda Library
Requires Python: >=3.7

**DO NOT USE, THIS IS PRE-ALPHA, ~HAS NO TESTS~, NO MONITORING, BAD LOGGING**

# tclambda
AWS Lambda calling library

Works together with functions defined in [tc-sam-cli](https://pypi.org/project/tc-sam-cli/)

## Configuration of AWS Lambda

```python
# app.py
import tclambda

from numpy.polynomial.polynomial import polyfit as np_polyfit

handler = tclambda.LambdaHandler()


@handler.register()
def polyfit(*args, **kwargs):
    return list(np_polyfit(*args, **kwargs))
```

The registered handler must return something that is json serializable.


## Usage in other projects

Configuration is primarely done by environmental variables.

```sh
TC_NUMPY_QUEUE="https://sqs.eu-west-1.amazonaws.com/12345/NumpySqs"
TC_NUMPY_BUCKET="s3-result-bucket"
```

```python
from tclambda.auto_functions import numpy

lambda_result = numpy.polyfit([1, 2], [2, 1], 1)
print(lambda_result.result())
# Output: [2.999999999999998, -0.9999999999999992]
```


## Retry lambda

```python
import tclambda
import requests

handler = tclambda.LambdaHandler()


@handler.register()
def web_data(*args, **kwargs):
    try:
        response = requests.get("https://example.com")
        response.raise_for_status()
    except Exception as e:
        raise tclambda.RetryException(e)
    return response.text
```

## Error handling

### Sentry

Install tclambda together with sentry `pip install tclambda[sentry]`
Setting up sentry is done automatically through environmental variables.

- SENTRY_DSN
- SENTRY_RELEASE
- SENTRY_ENVIRONMENT


# Tests

- Create an S3 bucket to test live against
- Add `TC_THIS_BUCKET=my-test-s3-bucket` to `.env`
- Run `pipenv run test`