2022-02-12 01:14:05 +00:00
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# install.packages("rbch")
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# install.packages("data.table")
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# install.packages("future.apply")
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library(rbch)
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library(data.table)
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library(future.apply)
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bitcoin.conf.file <- ""
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# Input filepath for your bitcoin.conf file
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data.dir <- ""
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# Input data directory here, with trailing "/"
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bch.config <- rbch::conrpc(bitcoin.conf.file)
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2022-03-10 18:07:12 +00:00
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first.fusion.height <- 646085
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2022-02-12 01:14:05 +00:00
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current.block.height <- rbch::getblockchaininfo(bch.config)@result$blocks
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heights.to.process <- first.fusion.height:current.block.height
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heights.to.process <- split(heights.to.process,
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cut(heights.to.process, ceiling(length(heights.to.process)/50)))
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future::plan(future::multiprocess())
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for (height.set in heights.to.process) {
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2022-03-11 03:28:56 +00:00
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extracted.txs <- future.apply::future_lapply(height.set, function(iter.block.height) {
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2022-02-12 01:14:05 +00:00
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if (iter.block.height %% 1000 == 0) {
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cat(iter.block.height, base::date(), "\n")
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}
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block.hash <- rbch::getblockhash(bch.config, iter.block.height)
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block.data <- rbch::getblock(bch.config, blockhash = block.hash@result, verbosity = "l2")
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# Argument verbose = 2 gives full transaction data
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# For some reason it doesn't give the fee:
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# https://docs.bitcoincashnode.org/doc/json-rpc/getrawtransaction.html
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raw.txs.ls <- block.data@result$tx
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if ( length(raw.txs.ls) < 2) { return(list(incoming = NULL, outgoing = NULL)) }
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2022-03-11 03:28:56 +00:00
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# Skip coinbase-only blocks
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2022-02-12 01:14:05 +00:00
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# Results of this lapply below are returned
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lapply(2:length(raw.txs.ls), function(iter) {
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# Start at 2 since the first tx is the coinbase tx
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latest.tx <- raw.txs.ls[[iter]]
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addresses <- vector("character", length(latest.tx$vout) )
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value <- vector("numeric", length(latest.tx$vout) )
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for (j in seq_along(latest.tx$vout)) {
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extracted.address <- latest.tx$vout[[j]]$scriptPubKey$addresses
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if (length(extracted.address) > 1) {
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extracted.address <- list(paste0(sort(unlist(extracted.address)), collapse = "|"))
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# sort() so that the address order is always the same
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}
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stopifnot(length(extracted.address[[1]]) <= 1)
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if (length(extracted.address) == 0) {next}
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addresses[j] <- extracted.address[[1]]
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value[j] <- latest.tx$vout[[j]]$value
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}
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outgoing <- data.table(txid = latest.tx$txid, address = addresses,
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position = seq_along(latest.tx$vout), value = value, stringsAsFactors = FALSE)
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origin.txid <- vector("character", length(latest.tx$vin) )
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origin.position <- vector("numeric", length(latest.tx$vin) )
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for (j in seq_along(latest.tx$vin)) {
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extracted.address <- latest.tx$vin[[j]]$txid
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stopifnot(length(extracted.address) <= 1)
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stopifnot(length(extracted.address[[1]]) <= 1)
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if (length(extracted.address) == 0) {next}
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origin.txid[j] <- latest.tx$vin[[j]]$txid
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origin.position[j] <- latest.tx$vin[[j]]$vout + 1
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}
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incoming <- data.table(txid = latest.tx$txid, origin.txid = origin.txid,
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origin.position = origin.position, stringsAsFactors = FALSE)
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list(incoming = incoming, outgoing = outgoing)
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})
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})
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2022-03-11 03:28:56 +00:00
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print(object.size(extracted.txs), units = "Mb")
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2022-02-12 01:14:05 +00:00
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2022-03-11 03:28:56 +00:00
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extracted.txs <- unlist(extracted.txs, recursive = FALSE)
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2022-02-12 01:14:05 +00:00
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2022-03-11 03:28:56 +00:00
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incoming <- data.table::rbindlist(lapply(extracted.txs, function(x) {
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2022-02-12 01:14:05 +00:00
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x[[1]]
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})
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)
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2022-03-11 03:28:56 +00:00
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outgoing <- data.table::rbindlist(lapply(extracted.txs, function(x) {
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2022-02-12 01:14:05 +00:00
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x[[2]]
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})
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)
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2022-03-11 03:28:56 +00:00
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rm(extracted.txs)
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2022-02-12 01:14:05 +00:00
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saveRDS(list(incoming = incoming, outgoing = outgoing),
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file = paste0(data.dir, "tx_graph_height_", paste0(range(height.set), collapse = "_to_"), ".rds"),
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compress = FALSE)
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rm(incoming)
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rm(outgoing)
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}
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