Skip to main content

A Pythonic client library for streaming data with ZebraStream.

Project description

zebrastream-io

Python IO interface for ZebraStream data streaming services.

Disclaimer:
The code in this package is considered pre-production quality. APIs and functionality may change without notice. Use with caution in production environments.

Features

  • File-like synchronous interface for ZebraStream data streams
  • Async interface (internal, subject to change)
  • Easily extensible for other IO interfaces

Installation

pip install zebrastream-io

Usage

Synchronous file-like interface

The synchronous interface provides a familiar, file-like API for reading from and writing to ZebraStream data streams. This design allows you to interact with remote streams using standard Python file IO, making integration with existing codebases straightforward. The goal is to offer a simple and reliable way to handle streaming data without requiring knowledge of asynchronous programming or custom protocols.

Producer

import zebrastream.io.file as zsfile
import time

with zsfile.open(mode="w", stream_path="/my-stream", access_token=token) as f:
    f.write("Hello!")
    f.flush()  # force send buffer
    time.sleep(10)
    f.write("This is ZebraStream")

Consumer

import zebrastream.io.file as zsfile

with zsfile.open(mode="r", stream_path="/my-stream", access_token=token) as f:
    for line in f:
        print(line, end="")

End-to-End Encryption

⚠️ Experimental: End-to-end encryption support is currently experimental and subject to change.

ZebraStream supports passphrase-based end-to-end encryption using an encryption scheme derived from age, a simple and secure file encryption format. When encryption is enabled, data is encrypted on the sender side before transmission and can only be decrypted by receivers with the correct passphrase. Follow the general security descriptions of the age project.

import zebrastream.io.file as zsfile
import time

# Producer - encrypt data before sending
with zsfile.open(mode="w", stream_path="/my-stream", 
                 access_token=token, 
                 encryption_passphrase="secret") as f:
    f.write("This is")
    f.flush()
    time.sleep(10)
    f.write("encrypted data")

# Consumer - decrypt data after receiving
with zsfile.open(mode="r", stream_path="/my-stream", 
                 access_token=token,
                 decryption_passphrase="secret") as f:
    for line in f:
        print(line)

Async interface (unstable)

Async interface for performing network operations using the asyncio event loop.

This interface is currently non-public and subject to change, as it is under active development. The primary goal is to provide an internal, robust reference implementation for ZebraStream, leveraging Python's async/await syntax. At present, the implementation exclusively supports execution within the asyncio event loop, as it relies on the httpio library — the only request library currently offering reliable, full-duplex communication required for complete ZebraStream protocol support.

Future plans include stabilizing the API and exposing standard async streaming interfaces such as asyncio StreamReader/StreamWriter.

Producer

from zebrastream.io._core import AsyncWriter
import asyncio

async def main():
    async with AsyncWriter(stream_path="/my-stream", access_token=token) as writer:
        await writer.write(b"Hello!")
        await writer.flush()
        await asyncio.sleep(10)
        await writer.write("This is ZebraStream")

asyncio.run(main())

Consumer

from zebrastream.io._core import AsyncReader
import asyncio

async def main():
    async with AsyncReader(stream_path="/my-stream", access_token=token) as reader:
        while data := await reader.read_variable_block(4096):
            print(data.decode(), end="")

asyncio.run(main())

Documentation

See ZebraStream documentation for more details.

License

MIT License. See LICENSE for details.

See also

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

zebrastream_io-0.4.0.tar.gz (28.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

zebrastream_io-0.4.0-py3-none-any.whl (30.2 kB view details)

Uploaded Python 3

File details

Details for the file zebrastream_io-0.4.0.tar.gz.

File metadata

  • Download URL: zebrastream_io-0.4.0.tar.gz
  • Upload date:
  • Size: 28.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.3.2 CPython/3.13.1 Linux/6.14.0-1017-azure

File hashes

Hashes for zebrastream_io-0.4.0.tar.gz
Algorithm Hash digest
SHA256 768b03b313d74fcf2ef3a7c92c04569e3e683275578c8d6cb93107a6e9a7223e
MD5 8e402b46420ad12521e08bf4d0298192
BLAKE2b-256 b2d4b8cc53f6273a0c7036cdcfdb07e8731118f5d4ae2acb42b4b54dbcae48f0

See more details on using hashes here.

File details

Details for the file zebrastream_io-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: zebrastream_io-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 30.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.3.2 CPython/3.13.1 Linux/6.14.0-1017-azure

File hashes

Hashes for zebrastream_io-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 207a8fabf85df9f7d0d369d5c7a410a9425e03cfd01b0cac3a5bf9bb0766821e
MD5 d4057f66639361e2c0dcf8f14b7f5e21
BLAKE2b-256 17f63a1fa1773ddc97dc3a23968350217577234626620cf4babe5807da6c8ab7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page