misc-research/CashFusion-Descendant-Analysis/R/extract-tx-graphs.R

122 lines
3.7 KiB
R

# install.packages("rbch")
# install.packages("data.table")
# install.packages("future.apply")
library(rbch)
library(data.table)
library(future.apply)
bitcoin.conf.file <- ""
# Input filepath for your bitcoin.conf file
data.dir <- ""
# Input data directory here, with trailing "/"
bch.config <- rbch::conrpc(bitcoin.conf.file)
first.fusion.height <- 610700
current.block.height <- rbch::getblockchaininfo(bch.config)@result$blocks
heights.to.process <- first.fusion.height:current.block.height
heights.to.process <- split(heights.to.process,
cut(heights.to.process, ceiling(length(heights.to.process)/50)))
future::plan(future::multiprocess())
for (height.set in heights.to.process) {
fused.all.ls <- future.apply::future_lapply(height.set, function(iter.block.height) {
if (iter.block.height %% 1000 == 0) {
cat(iter.block.height, base::date(), "\n")
}
block.hash <- rbch::getblockhash(bch.config, iter.block.height)
block.data <- rbch::getblock(bch.config, blockhash = block.hash@result, verbosity = "l2")
# Argument verbose = 2 gives full transaction data
# For some reason it doesn't give the fee:
# https://docs.bitcoincashnode.org/doc/json-rpc/getrawtransaction.html
raw.txs.ls <- block.data@result$tx
if ( length(raw.txs.ls) < 2) { return(list(incoming = NULL, outgoing = NULL)) }
# Results of this lapply below are returned
lapply(2:length(raw.txs.ls), function(iter) {
# Start at 2 since the first tx is the coinbase tx
latest.tx <- raw.txs.ls[[iter]]
addresses <- vector("character", length(latest.tx$vout) )
value <- vector("numeric", length(latest.tx$vout) )
for (j in seq_along(latest.tx$vout)) {
extracted.address <- latest.tx$vout[[j]]$scriptPubKey$addresses
if (length(extracted.address) > 1) {
extracted.address <- list(paste0(sort(unlist(extracted.address)), collapse = "|"))
# sort() so that the address order is always the same
}
stopifnot(length(extracted.address[[1]]) <= 1)
if (length(extracted.address) == 0) {next}
addresses[j] <- extracted.address[[1]]
value[j] <- latest.tx$vout[[j]]$value
}
outgoing <- data.table(txid = latest.tx$txid, address = addresses,
position = seq_along(latest.tx$vout), value = value, stringsAsFactors = FALSE)
origin.txid <- vector("character", length(latest.tx$vin) )
origin.position <- vector("numeric", length(latest.tx$vin) )
for (j in seq_along(latest.tx$vin)) {
extracted.address <- latest.tx$vin[[j]]$txid
stopifnot(length(extracted.address) <= 1)
stopifnot(length(extracted.address[[1]]) <= 1)
if (length(extracted.address) == 0) {next}
origin.txid[j] <- latest.tx$vin[[j]]$txid
origin.position[j] <- latest.tx$vin[[j]]$vout + 1
}
incoming <- data.table(txid = latest.tx$txid, origin.txid = origin.txid,
origin.position = origin.position, stringsAsFactors = FALSE)
list(incoming = incoming, outgoing = outgoing)
})
})
print(object.size(fused.all.ls), units = "Mb")
fused.all.ls <- unlist(fused.all.ls, recursive = FALSE)
incoming <- data.table::rbindlist(lapply(fused.all.ls, function(x) {
x[[1]]
})
)
outgoing <- data.table::rbindlist(lapply(fused.all.ls, function(x) {
x[[2]]
})
)
rm(fused.all.ls)
saveRDS(list(incoming = incoming, outgoing = outgoing),
file = paste0(data.dir, "tx_graph_height_", paste0(range(height.set), collapse = "_to_"), ".rds"),
compress = FALSE)
rm(incoming)
rm(outgoing)
}