cereal-py

The purpose of this module is to convert Google Protocol Buffer files, Apache Avro files, and Apache Thrift files to their counterparts.

Quickstart

The following example demonstrates how to convert a Google Protocol Buffer file to an Apache Avro file:

Given that the input file is helloworld.proto:

message HelloRequest {
  string name = 1;
}
message HelloReply {
  string message = 1;
}

>>> from cereal import build
>>> svc = build('./examples/helloworld.proto')
>>> print(svc.to_avro())
[
    {
        "type": "record",
        "name": "HelloRequest",
        "fields": [
            {
                "type": "string",
                "name": "name"
            }
        ]
    },
    {
        "type": "record",
        "name": "HelloReply",
        "fields": [
            {
                "type": "string",
                "name": "message"
            }
        ]
    }
]

The svc object is an instance of the Protobuf class that contains a method called .to_avro(). This returns a serialized JSON string that serves as the contents for a .avsc file.

Converting a .avsc file to a .proto file uses a similar process:

>>> from cereal import build
>>> svc = build('./examples/helloworld.avsc')
>>> print(svc.to_protobuf())
message HelloRequest {
    string name = 1;
}
message HelloReply {
    string message = 1;
}

Protocol Buffers Enumerated Types

Given the following protocol buffer message:

// search.proto
message SearchRequest {
  string query = 1;
  int32 page_number = 2;
  int32 result_per_page = 3;
  enum Corpus {
    UNIVERSAL = 0;
    WEB = 1;
    IMAGES = 2;
    LOCAL = 3;
    NEWS = 4;
    PRODUCTS = 5;
    VIDEO = 6;
  }
  Corpus corpus = 4;
}

cereal converts enumerated types into the format defined in the Avro specification:

>>> from cereal import build
>>> svc = build('./examples/search.proto')
>>> print(svc.to_avro())
[
    {
        "type": "record",
        "name": "SearchRequest",
        "fields": [
            {
                "type": "string",
                "name": "query"
            },
            {
                "type": "int",
                "name": "page_number"
            },
            {
                "type": "int",
                "name": "result_per_page"
            },
            {
                "type": "enum",
                "name": "Corpus",
                "symbols": [
                    "UNIVERSAL",
                    "WEB",
                    "IMAGES",
                    "LOCAL",
                    "NEWS",
                    "PRODUCTS",
                    "VIDEO"
                ]
            }
        ]
    }
]