logos-blockchain-specs/da/dispersal.py

51 lines
1.6 KiB
Python
Raw Normal View History

from dataclasses import dataclass
from typing import List, Generator
2025-01-24 16:31:36 +00:00
from da.common import NodeId
from da.encoder import EncodedData
2025-01-24 16:31:36 +00:00
from da.verifier import DABlob
@dataclass
class DispersalSettings:
nodes_ids: List[NodeId]
threshold: int
class Dispersal:
def __init__(self, settings: DispersalSettings):
self.settings = settings
# sort over public keys
self.settings.nodes_ids.sort()
2025-06-04 15:31:52 +02:00
def _prepare_data(self, encoded_data: EncodedData) -> Generator[DAShare, None, None]:
columns = encoded_data.extended_matrix.columns
row_commitments = encoded_data.row_commitments
2025-01-24 16:51:12 +00:00
rows_proofs = encoded_data.row_proofs
aggregated_column_commitment = encoded_data.aggregated_column_commitment
aggregated_column_proofs = encoded_data.aggregated_column_proofs
blobs_data = zip(columns, column_commitments, zip(*rows_proofs), aggregated_column_proofs)
for column_idx, (column, column_commitment, row_proofs, column_proof) in enumerate(blobs_data):
blob = DABlob(
column,
column_idx,
2025-01-24 16:51:12 +00:00
column_commitment,
aggregated_column_commitment,
column_proof,
row_commitments,
row_proofs
)
yield blob
2025-01-24 15:53:00 +00:00
def _send_and_await_response(self, node: NodeId, blob: DABlob) -> bool:
pass
2025-01-24 15:53:00 +00:00
def disperse(self, encoded_data: EncodedData):
blob_data = zip(
self.settings.nodes_ids,
self._prepare_data(encoded_data)
)
2025-01-24 17:08:14 +00:00
for node, blob in blob_data:
self._send_and_await_response(node, blob)