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Python DSL to leverage translation of dictionaries and SQLAlchemy into Protobuf objects.

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Mercator - Data Mapper for Protobuf

version 0.1.11

Python DSL to leverage translation of dictionaries and SQLAlchemy into Protobuf objects

PyPi Project Page

Travis Build

Documentation Status

Test Coverage Reports

What is Mercator ?

Mercator is a Python library that simplifies the following of serializing dictionary data into Protobuf binary data.

Mercator actually supports extracting data from:

  • dictionaries
  • SQLAlchemy model instances
  • Any opaque python objects (e.g.: collections.namedtuple)

When should I use Mercator ?

  • When migrating custom implementations of RPC to gGRPC.
  • When migrating in-memory data to Protobuf.

When should I not use Mercator ?

  • When writing gRPC services from scratch.
  • When writing anything that uses Protobuf gets called.

Install

pip install mercator

Documentation

https://mercator.readthedocs.org

Basic Usage

1. Given a protobuf declaration

syntax = "proto3";
package services.social_platform;

import "google/protobuf/timestamp.proto";

message User {
  message AuthToken {
    string value = 1;
    google.protobuf.Timestamp created_at = 2;
    google.protobuf.Timestamp expires_at = 3;
  }
}

2. Declare Mappings

from mercator import (
    ProtoMapping,
    ProtoKey,
    ProtoList,
    SinglePropertyMapping,
)
from google.protobuf.timestamp_pb2 import Timestamp
from google.protobuf.struct_pb2 import Struct
from google.protobuf import struct_pb2


ProtobufTimestamp = SinglePropertyMapping(int, Timestamp, 'seconds')

class UserAuthTokenMapping(ProtoMapping):
    __proto__ = domain_pb2.User.AuthToken
    value = ProtoKey('data', str)
    created_at = ProtoKey('created_at', ProtobufTimestamp)
    expires_at = ProtoKey('expires_at', ProtobufTimestamp)


class UserMapping(ProtoMapping):
    __proto__ = domain_pb2.User

    tokens = ProtoList('tokens', UserAuthTokenMapping)

3. Generate python files

python -m grpc_tools.protoc -I ./ --python_out=./ --grpc_python_out=./ ./*.proto

4. Process data!

info = {
    'login': 'Hulk',
    'email': 'bruce@avengers.world',
    'tokens': [
        {
            'data': 'this is the token',
            'created_at': 1552240433,
            'expires_at': 1552240733,
        }
    ],
}

user = UserMapping(info).to_protobuf()

assert isinstance(user, domain_pb2.User)

Contributing

  1. Check the code structure documentation
  2. Write tests
  3. Write code
  4. Send a pull-request