Add a new layer ("lâmina") to AWS lambda functions
Project description
Welcome to Lamina
This library adds a new layer ("lâmina") to AWS lambda functions, integrating synchronous and asynchronous code in a single function, which use Pydantic models to validate input and output data.
Install
$ pip install py-lamina
This library is compatible with Python 3.9, 3.10 and 3.11.
Usage
Create the models for Input and Output data:
# schemas.py
from pydantic import BaseModel
class ExampleInput(BaseModel):
name: str
age: int
class ExampleOutput(BaseModel):
message: str
Create your AWS Lambda handler:
# main.py
from typing import Any, Dict, Tuple, Union
from lamina import lamina, Request
from .schemas import ExampleInput, ExampleOutput
@lamina(schema=ExampleInput, schema_out=ExampleOutput)
def handler(request: Request) -> Dict[str, Any]:
response = {"message": f"Hello {request.data.name}, you are {request.data.age} years old!"}
return response
You can also use an async handler:
# main.py
import asyncio
@lamina(schema=ExampleInput, schema_out=ExampleOutput)
async def handler(request: Request) -> Dict[str, Any]:
await asyncio.sleep(1)
response = {"message": f"Hello {request.data.name}, you are {request.data.age} years old!"}
return response
The Response Status Code
Default value is 200. You can change it by returning a tuple with the response and the status code:
@lamina(schema=ExampleInput, schema_out=ExampleOutput)
def handler(request: Request) -> Tuple[Dict[str, Any], int]:
response = {"message": f"Hello {request.data.name}, you are {request.data.age} years old!"}
return response, 201
The Response Content Type
Default content type is application/json; charset=utf-8. You can change it by defining the content_type parameter:
@lamina(schema=ExampleInput, content_type=Lamina.HTML)
def handler(request: Request) -> Tuple[str, int]:
html_404 = """
<html>
<head><title>404 Not Found</title></head>
<body>
<h1>404 Not Found</h1>
</body>
</html>
"""
return html_404, 404
The Response Headers
Default header contains the Content Type defined in decorator or {"Content-Type": "application/json; charset=utf-8"}
by default.
You can add more headers it by returning a dict in the function return tuple:
@lamina(schema=ExampleInput, content_type=Lamina.HTML)
def handler(request: Request) -> str:
return None, 403, {"Location": "https://www.example.com"}
This dict will be merged with the default header.
The Request object
The Request object has the following attributes:
data: The input data, already validated by the schema.event: The original event received by the lambda function.context: The original context received by the lambda function.
You can use lamina without one or both schemas, if you like:
# main.py
import json
from typing import Any, Dict
from lamina import lamina, Request
@lamina()
def handler(request: Request) -> Dict[str, Any]:
body = request.event["body"]
data = json.loads(body)
response = {"message": f"Hello {data.name}, you are {data.age} years old!"}
return response
Please note, if you do not define a SchemaIn, the data attribute will contain the original body from event. You
need to validate it yourself and convert it to a dict, bytes, etc... you need before using the data received.
License
This project is licensed under the terms of the MIT license.
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