mirror of
https://github.com/bitcoinresearchkit/brk.git
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177 lines
5.4 KiB
Rust
177 lines
5.4 KiB
Rust
mod all_metadata;
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mod cohort;
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pub mod cohort_metadata;
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use allocative::Allocative;
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use itertools::Itertools;
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use rayon::prelude::*;
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use crate::{
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parser::states::SplitByAddressCohort,
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structs::{BiMap, Config, Date, Height},
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};
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use self::{all_metadata::AllAddressesMetadataDataset, cohort::CohortDataset};
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use super::{AnyDataset, AnyDatasets, ComputeData, InsertData, MinInitialStates};
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#[derive(Allocative)]
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pub struct AddressDatasets {
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min_initial_states: MinInitialStates,
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metadata: AllAddressesMetadataDataset,
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pub cohorts: SplitByAddressCohort<CohortDataset>,
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}
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impl AddressDatasets {
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pub fn import(config: &Config) -> color_eyre::Result<Self> {
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let mut cohorts = SplitByAddressCohort::<Option<CohortDataset>>::default();
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let path_dataset = config.path_datasets();
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cohorts
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.as_vec()
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.into_par_iter()
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.map(|(_, id)| (id, CohortDataset::import(&path_dataset, id, config)))
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.collect::<Vec<_>>()
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.into_iter()
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.try_for_each(|(id, dataset)| -> color_eyre::Result<()> {
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cohorts.get_mut_from_id(&id).replace(dataset?);
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Ok(())
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})?;
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let mut s = Self {
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min_initial_states: MinInitialStates::default(),
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metadata: AllAddressesMetadataDataset::import(&path_dataset, config)?,
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cohorts: cohorts.unwrap(),
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};
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s.min_initial_states
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.consume(MinInitialStates::compute_from_datasets(&s, config));
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Ok(s)
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}
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pub fn insert(&mut self, insert_data: &InsertData) {
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self.metadata.insert(insert_data);
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self.cohorts
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.as_mut_vec()
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.into_iter()
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.for_each(|(cohort, _)| cohort.insert(insert_data))
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}
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pub fn needs_durable_states(&self, height: Height, date: Date) -> bool {
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let needs_insert_utxo = self.needs_insert_utxo(height, date);
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let needs_insert_capitalization = self.needs_insert_capitalization(height, date);
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let needs_insert_supply = self.needs_insert_supply(height, date);
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let needs_one_shot_states = self.needs_one_shot_states(height, date);
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needs_insert_utxo
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|| needs_insert_capitalization
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|| needs_insert_supply
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|| needs_one_shot_states
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}
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pub fn needs_one_shot_states(&self, height: Height, date: Date) -> bool {
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self.needs_insert_price_paid(height, date) || self.needs_insert_unrealized(height, date)
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}
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// pub fn needs_sent_states(&self, height: Height, date: WNaiveDate) -> bool {
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// self.needs_insert_input(height, date) || self.needs_insert_realized(height, date)
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// }
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pub fn needs_insert_utxo(&self, height: Height, date: Date) -> bool {
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self.cohorts
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.as_vec()
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.iter()
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.any(|(dataset, _)| dataset.needs_insert_utxo(height, date))
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}
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pub fn needs_insert_capitalization(&self, height: Height, date: Date) -> bool {
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self.cohorts
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.as_vec()
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.iter()
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.any(|(dataset, _)| dataset.needs_insert_capitalization(height, date))
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}
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pub fn needs_insert_supply(&self, height: Height, date: Date) -> bool {
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self.cohorts
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.as_vec()
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.iter()
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.any(|(dataset, _)| dataset.needs_insert_supply(height, date))
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}
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pub fn needs_insert_price_paid(&self, height: Height, date: Date) -> bool {
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self.cohorts
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.as_vec()
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.iter()
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.any(|(dataset, _)| dataset.needs_insert_price_paid(height, date))
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}
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// pub fn needs_insert_realized(&self, height: Height, date: WNaiveDate) -> bool {
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// self.cohorts
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// .as_vec()
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// .iter()
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// .any(|(dataset, _)| dataset.needs_insert_realized(height, date))
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// }
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pub fn needs_insert_unrealized(&self, height: Height, date: Date) -> bool {
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self.cohorts
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.as_vec()
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.iter()
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.any(|(dataset, _)| dataset.needs_insert_unrealized(height, date))
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}
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// pub fn needs_insert_input(&self, height: Height, date: WNaiveDate) -> bool {
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// self.cohorts
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// .as_vec()
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// .iter()
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// .any(|(dataset, _)| dataset.needs_insert_input(height, date))
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// }
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pub fn compute(
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&mut self,
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compute_data: &ComputeData,
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closes: &mut BiMap<f32>,
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circulating_supply: &mut BiMap<f64>,
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market_cap: &mut BiMap<f32>,
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) {
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self.metadata.compute(compute_data);
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self.cohorts
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.as_mut_vec()
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.into_iter()
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.for_each(|(cohort, _)| {
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cohort.compute(compute_data, closes, circulating_supply, market_cap)
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})
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}
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}
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impl AnyDatasets for AddressDatasets {
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fn get_min_initial_states(&self) -> &MinInitialStates {
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&self.min_initial_states
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}
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fn to_any_dataset_vec(&self) -> Vec<&(dyn AnyDataset + Send + Sync)> {
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self.cohorts
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.as_vec()
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.into_iter()
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.map(|(d, _)| d as &(dyn AnyDataset + Send + Sync))
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.chain(vec![&self.metadata as &(dyn AnyDataset + Send + Sync)])
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.collect_vec()
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}
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fn to_mut_any_dataset_vec(&mut self) -> Vec<&mut dyn AnyDataset> {
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self.cohorts
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.as_mut_vec()
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.into_iter()
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.map(|(d, _)| d as &mut dyn AnyDataset)
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.chain(vec![&mut self.metadata as &mut dyn AnyDataset])
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.collect_vec()
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}
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}
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