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-1.1.21.tar.gz (19.7 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-1.1.21-py3-none-any.whl (24.6 kB view details)

Uploaded Python 3

File details

Details for the file py_near-1.1.21.tar.gz.

File metadata

  • Download URL: py_near-1.1.21.tar.gz
  • Upload date:
  • Size: 19.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for py_near-1.1.21.tar.gz
Algorithm Hash digest
SHA256 a47d0864bb987a87eb196c12789181f9e2efd8968eca0577c7628fe8816a3ba3
MD5 be57be30af1b9cb99ee99364c001fb36
BLAKE2b-256 227f3324054fca93cd2b4adaf397585c4bb9bf51714af34e648ffdbe4bb6579e

See more details on using hashes here.

File details

Details for the file py_near-1.1.21-py3-none-any.whl.

File metadata

  • Download URL: py_near-1.1.21-py3-none-any.whl
  • Upload date:
  • Size: 24.6 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-1.1.21-py3-none-any.whl
Algorithm Hash digest
SHA256 80b13a8431029e71edcb9f032a517ac76a032063f7c96deb39912873a86d9012
MD5 a1c4797368b19206f59254bf83ccfe6f
BLAKE2b-256 bfd1c51eb2f04d8516a48dbdc3354d1bd1bd1d7575bb4725ef42a2e69f73352a

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