omni-pro 0.1.64

Python library designed to be a utility for OMS microservices

Saas MS Library

Saas MS Library is a Python library designed to be a utility for OMS microservices. This library provides an easy-to-use and highly customizable solution for reusing application utilities and clients, allowing developers to focus on creating the most efficient and scalable microservice.

With Saas MS Library, you will be able to handle AWS databases and clients. Our library is compatible with Python 3.10 and later versions, and is under constant development to improve its performance and extend its functionality.

Features

1. Database Handler (MongoDB, Redis, PostgreSQL, etc.)
2. AWS Client Handler (Cognito, S3, etc.)
3. Decorators

Installation

To install saas-ms-library, simply run the following command:

pip install saas-ms-library

Examples of use

Here are some examples of how to use saas-ms-library in your projects:

Create environment variables

GRPC_PORT=50051
GRPC_MAX_WORKERS=10
SERVICE_ID=saas-ms-user
REDIS_HOST=redis
REDIS_PORT=6379
REDIS_DB=0

Use

from protos.v1.users import user_pb2, user_pb2_grpc
from omni.pro.decorators import resources_decorator
from omni.pro.util import HTTPStatus, Resource, deep_search, nested


class  UserService(user_pb2_grpc.UsersServiceServicer):
    @resources_decorator([Resource.AWS_COGNITO, Resource.MONGODB])
    def  UserCreate(
        self, request: user_pb2.UserCreateRequest, context
        ) -> user_pb2.UserCreateResponse:
            response = context.cognito_client.create_user(
                username=data["username"],
                password=data["password"],
                name=data["name"],
                email=data["email"],
                tenant=data["tenant"],
                language_code=data["language"]["code"],
                timezone_code=data["timezone"]["code"],
            )
            att_list = nested(response, "User.Attributes") or  nested(response, "UserAttributes", default=[])
            sub_dict = deep_search(att_list, key, value)
            user = context.db_manager.get_document(
                context.db_name, UserDocument, sub=sub_dict.get("Value")
            )
            return  user_pb2.UserCreateResponse(
                response_standard=base_pb2.ResponseStandard(
                    success=True,
                    message="User created",
                    status_code=HTTPStatus.CREATED
                ),
                user=user.to_proto(),
            )

License

Saas MS Library is licensed under the modified MIT License.