pyth-client-py

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Python client for pyth on-chain data

pyth-client-py 최신버젼 다운로드

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Pyth Client in Python
=====================

[![pytest](https://github.com/pyth-network/pyth-client-py/actions/workflows/pytest.yml/badge.svg?branch=main)](https://github.com/pyth-network/pyth-client-py/actions/workflows/pytest.yml)

A Python library to retrieve data from Pyth account structures off the Solana blockchain.

**NOTE**: This library requires Python 3.7 or greater due to `from __future__ import annotations`.

Usage
--------------

Install the library:

pip install pythclient

You can then read the current Pyth price using the following:

```python
from pythclient.pythclient import PythClient
from pythclient.pythaccounts import PythPriceAccount
from pythclient.utils import get_key

solana_network="devnet"
async with PythClient(
    first_mapping_account_key=get_key(solana_network, "mapping"),
    program_key=get_key(solana_network, "program") if use_program else None,
) as c:
    await c.refresh_all_prices()
    products = await c.get_products()
    for p in products:
        print(p.attrs)
        prices = await p.get_prices()
        for _, pr in prices.items():
            print(
                pr.price_type,
                pr.aggregate_price_status,
                pr.aggregate_price,
                "p/m",
                pr.aggregate_price_confidence_interval,
            )
```

This code snippet lists the products on pyth and the price for each product. Sample output is:

```
{'symbol': 'Crypto.ETH/USD', 'asset_type': 'Crypto', 'quote_currency': 'USD', 'description': 'ETH/USD', 'generic_symbol': 'ETHUSD', 'base': 'ETH'}
PythPriceType.PRICE PythPriceStatus.TRADING 4390.286 p/m 2.4331
{'symbol': 'Crypto.SOL/USD', 'asset_type': 'Crypto', 'quote_currency': 'USD', 'description': 'SOL/USD', 'generic_symbol': 'SOLUSD', 'base': 'SOL'}
PythPriceType.PRICE PythPriceStatus.TRADING 192.27550000000002 p/m 0.0485
{'symbol': 'Crypto.SRM/USD', 'asset_type': 'Crypto', 'quote_currency': 'USD', 'description': 'SRM/USD', 'generic_symbol': 'SRMUSD', 'base': 'SRM'}
PythPriceType.PRICE PythPriceStatus.UNKNOWN None p/m None
...
```

The `examples` directory includes some example applications that demonstrate how to use this library:
* `examples/dump.py` is a detailed usage example that demonstrates the asynchronous API to update prices using a websocket subscription or account polling.
* `examples/read_one_price_feed.py` shows how to read the price of a single price feed using its account key.

Developer Setup
---------------

Using python 3.7 or newer, create, and activate a virtual environment:

python3 -m venv ve
    . ve/bin/activate

To install this library in editable mode with test dependencies:

pip install -e '.[testing]'

To run the unit tests:

pytest

If html based test coverage is more your jam:

pytest --cov-report=html

The coverage webpages will be in the `htmlcov` directory.

Distribution
------------

To build the package for distribution to pypi, first install dependencies:

`python3 -m pip install --upgrade twine build`

Next, edit `setup.py` and bump the `version` field.
Then build the package by running:

```
python3 -m build
```

This command will produce packages in the `dist/` directory.
Upload these packages to pypi by running:

```
python3 -m twine upload --repository pypi dist/*
```

This command will require you to log in to a pypi account.

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