hashiverse-client 1.0.5

Python client for the Hashiverse decentralized social network

hashiverse-client

Python client for Hashiverse — your open-source decentralized X/Twitter replacement. Wraps the Rust hashiverse-lib via PyO3 for native performance.

Install

pip install hashiverse-client

Requires Python 3.9+. Pre-built wheels are published for Linux, macOS, and Windows.

Quick start

from hashiverse_client import HashiverseClient

client = HashiverseClient.create_from_keyphrase(
    key_phrase="my secret keyphrase",
    data_dir="~/.hashiverse",
    passphrase="my secret passphrase",  # encrypts key files at rest (default: "" = no encryption)
)

print(client.client_id)
client.post("Hello from Python! #hashiverse-python")

timeline = client.get_hashtag_timeline("hashiverse-python")
for post in timeline.posts:
    print(f"{post.client_id[:8]}: {post.post}")

What you can do

• Create or reload a cryptographic identity from a key phrase, with optional at-rest encryption.
• Post messages to the network.
• Read hashtag timelines.
• Fetch trending hashtags.
• Persist keys to a local data directory and reconnect to the same identity later.

See examples/hello_hashiverse.py for an end-to-end walkthrough covering identity creation, key reload, timeline reads, and trending hashtags.

Reloading a stored identity

After create_from_keyphrase has run once, the key is persisted in data_dir. Subsequent runs can skip the keyphrase and reconnect via the stored key:

client = HashiverseClient.create_from_stored_key(
    client_id_hex=client_id,
    data_dir="~/.hashiverse",
    passphrase="my secret passphrase",  # must match the passphrase used to create the key
)

Connecting to a local server

By default the client uses the public bootstrap addresses. To point at a local cluster (handy for testing), pass bootstrap_addresses:

client = HashiverseClient.create_from_keyphrase(
    key_phrase="my example keyphrase",
    data_dir=data_dir,
    passphrase="my secret passphrase",
    bootstrap_addresses=["127.0.0.1:443"],
)

A local cluster can be started with the test harness from this repository — see the "Running the example" section below.

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Developing this package

The rest of this document describes how to build, test, and release hashiverse-client itself. End-user usage is covered above.

Prerequisites

• Python 3.9+
• Rust nightly toolchain (see rust-toolchain.toml in the workspace root)

Development build

cd hashiverse-rust/hashiverse-client-python

# Create and activate a virtual environment
python -m venv .venv

# Windows
.venv\Scripts\activate

# Linux/macOS
source .venv/bin/activate

# Install maturin and build the extension into the venv
pip install maturin
maturin develop

maturin develop compiles the Rust code in debug mode and installs the resulting Python package into the active venv. Re-run it after any Rust code changes.

For a faster extension (recommended if exercising PoW or network operations):

maturin develop --release

Production build

To build a distributable wheel:

maturin build --release

The wheel is written to target/wheels/ and can be installed with:

pip install target/wheels/hashiverse_client-*.whl

Running tests

The test suite exercises offline client operations (no server required): identity creation, key management, and storage operations.

cd hashiverse-rust/hashiverse-client-python
source .venv/bin/activate  # or .venv\Scripts\activate on Windows
pip install pytest
maturin develop --release
python -m pytest tests/ -v

Running the example

The example connects to a local hashiverse server, creates an identity, fetches trending hashtags, and reads the #hashiverse timeline.

1. Start a local server cluster using the test harness (in a separate terminal from the workspace root):

cd hashiverse-rust
cargo run -p hashiverse-integration-tests --bin test_harness

2. Run the example:

cd hashiverse-rust/hashiverse-client-python
python examples/hello_hashiverse.py