Skip to main content

Pretty simple and fully asynchronous framework for working with NEAR blockchain

Project description

py-near

Financial Contributors on Open Collective PyPi Package Version Supported python versions Documentation Status Github issues MIT License Twitter

py-near is a pretty simple and fully asynchronous framework for working with NEAR blockchain.

Examples

📚 Click to see some basic examples

Few steps before getting started...

  • Install the latest stable version of py-near, simply running pip install py-near
  • Create NEAR account and get your private key wallet

Simple money transfer

from py_near.account import Account
import asyncio
from py_near.dapps.core import NEAR

ACCOUNT_ID = "bob.near"
PRIVATE_KEY = "ed25519:..."


async def main():
   acc = Account(ACCOUNT_ID, PRIVATE_KEY)

   await acc.startup()
   print(await acc.get_balance() / NEAR)
   print(await acc.get_balance("bob.near") / NEAR)

   tr = await acc.send_money("bob.near", NEAR * 2)
   print(tr.transaction.hash)
   print(tr.logs)


asyncio.run(main())

Transfer money by phone number

from py_near.account import Account
import asyncio
from py_near.dapps.core import NEAR

ACCOUNT_ID = "bob.near"
PRIVATE_KEY = "ed25519:..."


async def main():
   acc = Account(ACCOUNT_ID, PRIVATE_KEY)

   await acc.startup()
   tr = await acc.phone.send_near_to_phone("+15626200911", NEAR // 10)
   print(tr.transaction.hash)


asyncio.run(main())

Parallel requests

Only one parallel request can be made from one private key. All transaction calls execute sequentially. To make several parallel calls you need to use several private keys

acc = Account("bob.near", private_key1)

for i in range(2):
  signer = InMemorySigner.from_random(AccountId("bob.near"), KeyType.ED25519)
  await acc.add_full_access_public_key(str(signer.public_key))
  print(signer.secret_key)

Now we can call transactions in parallel

acc = Account("bob.near", [private_key1, private_key2, private_key3])
# request time = count transactions / count public keys
tasks = [
  asyncio.create_task(acc.send_money("alisa.near", 1)),
  asyncio.create_task(acc.send_money("alisa.near", 1)),
  asyncio.create_task(acc.send_money("alisa.near", 1)),
]
for t in task:
  await t

Official py-near resources:

Contributors

Code Contributors

This project exists thanks to all the people who contribute. [Code of conduct].

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

py_near-1.1.32.tar.gz (20.5 kB view details)

Uploaded Source

Built Distribution

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

py_near-1.1.32-py3-none-any.whl (25.4 kB view details)

Uploaded Python 3

File details

Details for the file py_near-1.1.32.tar.gz.

File metadata

  • Download URL: py_near-1.1.32.tar.gz
  • Upload date:
  • Size: 20.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for py_near-1.1.32.tar.gz
Algorithm Hash digest
SHA256 db4e9b0e274ef0d871027b5de8b3b71eebc6932b8b7bec7a1dd4847c8772d766
MD5 30dc0ece793d0e50932edb9d30b4f324
BLAKE2b-256 ad1c54ca5925f1a516d18462c980c5fdc38b4e2a26b722b66f940b4a2adb776e

See more details on using hashes here.

File details

Details for the file py_near-1.1.32-py3-none-any.whl.

File metadata

  • Download URL: py_near-1.1.32-py3-none-any.whl
  • Upload date:
  • Size: 25.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for py_near-1.1.32-py3-none-any.whl
Algorithm Hash digest
SHA256 5134c29a871f34fbf6a825dad3a11fac58cd117305b39ec42b8d9d3c967d5336
MD5 e1c82fbcac029ba0f02c8c79cb306f5d
BLAKE2b-256 d2db4e4474cdf7bfa857234c2f3623965c5c01bc5594435c961b49951b9fc063

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