Nexify

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Documentation: https://nexify.junah.dev

Source Code: https://github.com/junah201/nexify

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Nexify is a lightweight web framework for building APIs on AWS Lambda's Python runtime based on standard Python type hints.

The key features are:

• 🚀 Automatic Parsing: Automatically parses AWS Lambda's Event and Context objects.
• 🔍 Data Validation: Validate user's request and response using Pydantic.
• 📜 OpenAPI Documentation: Generates API documentation with Swagger UI and ReDoc.
• ☁️ Deployment Automation: Deploy AWS Lambda and related infrastructure with a simple command.

Requirements

Nexify requires the following libraries:

• Pydantic for data validation and OpenAPI documentation.
• Boto3 for AWS deployment. (Only required in local development, not in production.)

Installation

First, set up a virtual environment, then install Nexify:

$ pip install "nexify[cli]"

---> 100%

Note: Some terminal environments require quoting "nexify[cli]" for correct installation.

Usage

Creating a Project

$ nexify init
Enter the project name: myapp
🎉 Project myapp created at 'C:\Users\junah\Desktop\myapp'
$ cd myapp

Running nexify init command generates a main.py file, a nexify.json configuration file, and etc.

• Example main.py:

from typing import Annotated

from nexify import Body, Nexify, Path, Query, status
from pydantic import BaseModel, Field

app = Nexify(title="My Nexify API", version="0.1.0")


class Item(BaseModel):
    id: str
    name: str
    price: Annotated[int, Field(ge=0)]


@app.get("/items")
def read_items(limit: Annotated[int, Query(default=10)]) -> list[Item]:
    return [Item(id=f"{i + 1}", name=f"Item {i}", price=i * 10) for i in range(limit)]


@app.post("/items", status_code=status.HTTP_204_NO_CONTENT)
def create_item(item: Annotated[Item, Body()]): ...


@app.get("/items/{item_id}")
def read_item(item_id: Annotated[str, Path(min_length=2, max_length=8)]) -> Item:
    return Item(id=item_id, name="Foo", price=42)

• Example nexify.json:

{
  "service": "myapp",
  "provider": {
    "name": "aws",
    "runtime": "python3.10",
    "region": "ap-northeast-2",
    "profile": "default",
    "logRetentionInDays": 14,
    "architecture": "x86_64",
    "memorySize": 128,
    "timeout": 10,
    "stage": "prod",
    "environment": { "YOUR_CUSTOM_ENV": "${env:YOUR_CUSTOM_ENV}" },
    "iamRoleStatements": [
      { "Effect": "Allow", "Action": ["s3:*"], "Resource": "*" }
    ]
  },
  "package": {
    "include": ["main.py"],
    "exclude": [".venv/**", ".git/**", ".gitignore"],
    "pipCmdExtraArgs": [""]
  },
  "resources": {
    "Resources": {
      "APIGatewayRestAPI": {
        "Type": "AWS::ApiGateway::RestApi",
        "Properties": {
          "Name": "myapp-API",
          "EndpointConfiguration": { "Types": ["EDGE"] },
          "Policy": "",
          "Description": "API for myapp"
        }
      }
    }
  }
}

Deploying

$ nexify deploy
✔ App imported successfully!
✔ Config loaded successfully!
✔ App analyzed successfully!
✔ Requirements installed successfully!
✔ Lambda functions packaged successfully!
✔ Basic stack created successfully!
✔ Template created successfully!
✔ Stack updated successfully!

🎉 Deployment successful!

Endpoints:
    - GET   https://apigatewayid.execute-api.ap-northeast-2.amazonaws.com/prod/items
    - POST  https://apigatewayid.execute-api.ap-northeast-2.amazonaws.com/prod/items
    - GET   https://apigatewayid.execute-api.ap-northeast-2.amazonaws.com/prod/items/{item_id}


Functions:
    - read_items
    - create_item
    - read_item

Once deployment is complete, API endpoints are generated.

Checking the API

Open the following URL in a browser to check the API response:

https://apigatewayid.execute-api.ap-northeast-2.amazonaws.com/prod/items/12

Note: Use the URL displayed after executing nexify deploy command.

Response example:

{"id":"12","name":"Foo","price":42}

---

Congratulations 🎉 You have already created an API.

• The /items and /items/{item_id} endpoints can now receive HTTP requests.
• The /items endpoint handles GET and POST requests, while /items/{item_id} handles GET requests.
• The /items endpoint has a int query parameter limit with a default value of 10.
• The /items/{item_id} endpoint has a str path parameter item_id with a length constraint between 2 and 8 characters.

Nexify uses Pydantic internally to validate the input and output data.

Swagger UI

Now go to https://apigatewayid.execute-api.ap-northeast-2.amazonaws.com/prod/docs.

Note: Please use the output URL after running the nexify deploy command.

You will see the automatic interactive API documentation (provided by Swagger UI):

ReDoc

And now, go to https://apigatewayid.execute-api.ap-northeast-2.amazonaws.com/prod/redoc.

Note: Please use the output URL after running the nexify deploy command.

You will see the automatic interactive API documentation (provided by ReDoc):

Summary

With Nexify, you can easily develop APIs on AWS Lambda using standard Python type hints.

• 🔍 Data Validation: Uses Pydantic for input and response validation.
  • Automatically generates clear errors for invalid data.
  • Supports validation for nested JSON objects.
• 📦 Automatic Parsing: Extracts body, pathParameters, queryStringParameters, and more from the Event object.
• 🔄 Response Conversion: Supports conversion of standard Python types (str, int, float, bool, list) as well as datetime, UUID, dataclass, and more.
• 📜 OpenAPI Documentation: Supports Swagger UI and ReDoc.
• ☁️ Deployment Automation: Deploy AWS Lambda with a single nexify deploy command.

License

This project is licensed under the terms of the MIT license.