read-protobuf 0.2.0

Small library to read serialized protobuf(s) directly into Pandas DataFrame

read-protobuf

Small library to read serialized protobuf(s) directly into Pandas DataFrame.

This is intended to be a simple shortcut for translating serialized protobuf bytes / files directly to a dataframe.

Install

Available via pip:

$ pip install read-protobuf

Usage

Run the demo-notebook for an interactive demo.

import demo_pb2                             # compiled protobuf message module 
from read_protobuf import read_protobuf

MessageType = demo_pb2.MessageType()        # instantiate a new message type
df = read_protobuf(b'\x00\x00', MessageType)    # create a dataframe from serialized protobuf bytes
df = read_protobuf([b'\x00\x00', b'x00\x00'] MessageType)    # read multiple protobuf bytes

df = read_protobuf('demo.pb', MessageType)    # use file instead of bytes
df = read_protobuf(['demo.pb', 'demo2.pb'], MessageType)    # read multiple files

# options
df = read_protobuf('demo.pb', MessageType, flatten=False)    # don't flatten pb messages
df = read_protobuf('demo.pb', MessageType, prefix_nested=True)    # prefix nested messages with parent keys (like pandas.io.json.json_normalize)

To compile a protobuf Message class from python, use:

$ protoc --python_out="." demo.proto

Alternatives

protobuf-to-dict

https://github.com/benhodgson/protobuf-to-dict

This library was developed earlier to convert protobufs to JSON via a dict.

MessageToDict, MessageToJson

The google protobuf library comes with utilities to convert messages to a dict or JSON, then loaded by Pandas.

from google.protobuf.json_format import MessageToJson
from google.protobuf.json_format import MessageToDict

In brief tests, the read_protobuf package is about 2x as fast as using MessageToDict and 3x as fast as MessageToJson.

Develop

To install a development version of the package, run from the root directory:

$ pip install -e .

• To install development dependencies, use the optional [dev]dependencies:

$ pip install -e ".[dev]"

Format

Uses black and isort to format files.

$ make black
$ make isort

Lint

Uses ruff to lint application.

$ make ruff

Test

Uses pytest to run unit tests. From the root of the repository, run:

$ make pytest

# specify test
$ pytest -k "TestRead::test_read_bytes"

Code Coverage

Use coverage to monitor code coverage during tests. To record coverage while running tests, run:

$ make pytest-cov

License

MIT License