Skip to main content

Tiny Arweave Library

Project description

PyArweave

This is a small python client for arweave, based on https://github.com/MikeHibbert/arweave-python-client .

I can struggle to code, so the hope is to keep this small and simple and ask the universe for more developers to take over maintainership.

Meanwhile, here's an arweave library.

Installing

pip install pyarweave

possibly-outdated documentation

Using your wallet

Once installed you can import it and supply the wallet object with the path to your wallet JSON file:

import ar


wallet_file_path = '/some/folder/on/your/system'
wallet = ar.Wallet(wallet_file_path)

balance =  wallet.balance

last_transaction = wallet.get_last_transaction_id()

Loading your wallet

If your wallet data is stored in a secret manager or anywhere other than a file, you can load it with the from_data classmethod:

import ar

wallet_data = // Load from cloud storage or wherever
wallet = ar.Wallet.from_data(wallet_data)

balance =  wallet.balance

Transactions

To send a transaction you will need to open your wallet, create a transaction object, sign the transaction and then finally post the transaction:

import ar


wallet_file_path = '/some/folder/on/your/system'
wallet = ar.Wallet(wallet_file_path)

transaction = ar.Transaction(wallet, quantity=0.3, to='<some wallet address')
transaction.sign()
transaction.send()

#####ATTENTION! quantity is in AR and is automatically converted to Winston before sending

Uploading large files

Uploading large data files is now possible! you can now upload data larger than your physical memory or maximum transaction size (12MB) in the following way

from ar.arweave_lib import Wallet, Transaction
from ar.transaction_uploader import get_uploader

wallet = Wallet(jwk_file)

with open('my_mahoosive_file.dat', 'rb', buffering=0) as file_handler:
    tx = Transaction(wallet, file_handler=file_handler, file_path='/some/path/my_mahoosive_file.dat')
    tx.add_tag('Content-Type', 'application/dat')
    tx.sign()

    uploader = get_uploader(tx, file_handler)

    while not uploader.is_complete:
        uploader.upload_chunk()

        logger.info('{}% complete, {}/{}'.format(
            uploader.pct_complete, uploader.uploaded_chunks, uploader.total_chunks
        ))

NOTE: When uploading you only need to supply a file handle with buffering=0 instead of reading in the data all at once. The data will be read progressively in small chunks

To check the status of a transaction after sending:

status = transaction.get_status()

To check the status much later you can store the transaction.id and reload it:

transaction = Transaction(wallet, id='some id you stored')
status = transaction.get_status()

Storing data

As you know Arweave allows you to permanently store data on the network and you can do this by supplying data to the transaction as a string object:

wallet = Wallet(jwk_file)

with open('myfile.pdf', 'r') as mypdf:
    pdf_string_data = mypdf.read()

    transaction = Transaction(wallet, data=pdf_string_data)
    transaction.sign()
    transaction.send()

Retrieving transactions/data

To get the information about a transaction you can create a transaction object with the ID of that transaction:

tx = Transaction(wallet, id=<your tx id>)
tx.get_transaction()

In addition you may want to get the data attached to this transaction once you've decided you need it:

tx.get_data()
print(tx.data)
> 'some data'

Sending to a specific Node

You can specify a specific node by setting the api_url of the wallet/transaction object:

wallet = Wallet(jwk_file)
wallet.api_url = 'some specific node ip/address and port'

Or

transaction = Transaction(wallet, data=pdf_string_data)
transaction.api_url = 'some specific node ip/address and port'

Arql

You can now perform searches using the arql method:

from ar.arweave_lib import arql

wallet_file_path = '/some/folder/on/your/system'
wallet = ar.Wallet(wallet_file_path)

transaction_ids = arql(
    wallet,
    {
        'op': 'equals',
        'expr1': 'from',
        'expr2': 'Some owner address'
    })

Alternatively, you can use a the helper method arql_with_transaction_data() to get all transaction ids as well as all the data stored in the blockchain

import ar

wallet_file_path = '/some/folder/on/your/system'
wallet = ar.Wallet(wallet_file_path)

transactions = aweave.arql_with_transaction_data(
    wallet,
    {
        'op': 'equals',
        'expr1': 'from',
        'expr2': 'Some owner address'
    })

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

PyArweave-0.3.3.tar.gz (34.4 kB view details)

Uploaded Source

Built Distribution

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

PyArweave-0.3.3-py3-none-any.whl (44.1 kB view details)

Uploaded Python 3

File details

Details for the file PyArweave-0.3.3.tar.gz.

File metadata

  • Download URL: PyArweave-0.3.3.tar.gz
  • Upload date:
  • Size: 34.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4+

File hashes

Hashes for PyArweave-0.3.3.tar.gz
Algorithm Hash digest
SHA256 409364e2fe6a57bc2f8d064c98115a0fb5cd60f936b69034f0a0a14a24c59ef2
MD5 8f8979d17a9ad951c188e7b5ea22bc97
BLAKE2b-256 7a87c6faeb37a65664571f1c527e26e4d86579d0d3cfcb2c6e5deca802c250e0

See more details on using hashes here.

File details

Details for the file PyArweave-0.3.3-py3-none-any.whl.

File metadata

  • Download URL: PyArweave-0.3.3-py3-none-any.whl
  • Upload date:
  • Size: 44.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4+

File hashes

Hashes for PyArweave-0.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 3b16c9a93a5db1bee6b9a129217c6c089c6c763f12f1e22952a0f8ed65773e4d
MD5 401dacbc34acb978fad16825d87ababe
BLAKE2b-256 df0151b512694b9d8493efd7ae7616198b94ee39326e5200f682a01830a95835

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