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a few changes
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@ -64,7 +64,7 @@ solana.core.fact_transfers tx
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where tx.block_timestamp > '2022-12-24'
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and tx.mint = 'DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263'
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group by 1,2,3,4,5,6,7;"),
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api_key = readLines('~/data_science/util/shroomdk.key')
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api_key = readLines('shroomdk.key') #get free api key at sdk.flipsidecrypto.xyz
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)
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bonk.xfers <- as.data.table(bonk.xfers)
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setnames(bonk.xfers, tolower(names(bonk.xfers)))
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@ -95,9 +95,13 @@ bonk.xfers[ to_label_type == 'dex' |
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bonk.xfers[ from_label == "unlabeled", from_group := 'users' ]
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bonk.xfers[ to_label == "unlabeled", to_group := 'users' ]
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#crucial not to over-label addresses as airdrop recipients
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#so we do this only for otherwise unlabeled addresses
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bonk.xfers[ from_label == "unlabeled" & from_label_subtype == 'airdrop recipient', from_group := 'airdrop recipient' ]
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bonk.xfers[ to_label == "unlabeled" & to_label_subtype == 'airdrop recipient', to_group := 'airdrop recipient' ]
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#this is marginal in terms of volume, but
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#noticed a few nft addresses receiving and sending BONK around
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bonk.xfers[ from_label_type == "nft", from_group := 'nft_projects' ]
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bonk.xfers[ to_label_type == "nft", to_group := 'nft_projects' ]
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@ -112,18 +116,22 @@ bubble.data <- bonk.xfers[
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bubble.data[,sum(token_value),by = "from_group,to_group"][order(V1,decreasing = T)]
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bubble.data[,from_to := paste(from_group,to_group,sep = "_X_"),by = "from_group,to_group"]
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#optionally plot the to/from groups
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# ggplot(bubble.data, aes(x = xfer_date, y = token_value, group = from_to, fill = from_to)) +
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# geom_bar(stat = "identity",position = "dodge") +
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# theme(legend.position = "none")
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# Sanity Check
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# This is both a sanity check
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# and helpful for putting the proper group names into the viz later
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c(bubble.data$from_group,bubble.data$to_group) %>% unique() #groups
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setnames(bubble.data, "token_value", "xfer_volume")
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bubble.data[ ,from_group := str_replace_all(from_group,' ','_') ]
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bubble.data[ ,to_group := str_replace_all(to_group,' ','_') ]
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#boring json conversion that looks simple but took forever json is annoying
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daily.row.empty <- "{ 'src': '%s', 'dst': '%s', 'num': %s },"
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bubble.data[, row_num := 1:.N]
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@ -145,7 +153,9 @@ new.to.save <- paste0("const data = {
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steps: ",
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bubbles.json,
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"}")
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writeLines(new.to.save,con = "~/data_science/data/bonk_bubbles.json")
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#save it!
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writeLines(new.to.save,con = "~/bonk_bubbles.json")
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bubble.data[ ,sum(xfer_volume), by = "to_group,from_group"]
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