d073102422
The maximum amount is defined in [Ripple's docs](https://xrpl.org/basic-data-types.html#currencies) but it's most likely in XRP and not in drops ("satoshi" equivalent). This commit increase the value to the drops equivalent. closes #327 |
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.. | ||
__init__.py | ||
base58_ripple.py | ||
get_address.py | ||
helpers.py | ||
layout.py | ||
README.md | ||
serialize.py | ||
sign_tx.py |
Ripple
MAINTAINER = Tomas Susanka tomas.susanka@satoshilabs.com
AUTHOR = Tomas Susanka tomas.susanka@satoshilabs.com
REVIEWER = Jan Pochyla jan.pochyla@satoshilabs.com
Documentation
Ripple's documentation can be found here and on the deprecated wiki.
Transactions
Ripple has different transaction types, see the documentation for the structure and the list of all transaction types. The concept is somewhat similar to Stellar. However, Stellar's transaction is composed of operations, whereas in Ripple each transaction is simply of some transaction type.
We do not support transaction types other than the Payment transaction, which represents the simple "A pays to B" scenario. Other transaction types might be added later on.
We currently sign transactions using ECDSA and the secp256k1 curve same as in Bitcoin. Ripple also supports ed25519, which is currently not supported by Trezor, although the implementation would be quite straightforward.
Non-XRP currencies are not supported. Float and negative amounts are not supported.
Transactions Explorer
Bithomp seems to work fine.
Submitting a transaction
You can use ripple-lib and its submit method to publish a transaction into the Ripple network. Python-trezor returns a serialized signed transaction, which is exactly what you provide as an argument into the submit function.
Serialization format
Ripple uses its own serialization format. In a simple case, the first nibble of a first byte denotes the type and the second nibble the field. The actual data follow.
Our implementation in serialize.py
is a simplification of the protocol tailored for the support of the Payment type exclusively.
Tests
Unit tests are located in the tests
directory, device tests are in the python-trezor repository.