mirror of
https://github.com/0xrsydn/idx-cli.git
synced 2026-08-07 01:33:52 +00:00
refactor: schema-driven architecture, capability traits, hardened error paths
- Split parse.rs into raw_types.rs (serde structs) + map.rs (pure transforms) for MSN and Yahoo - Replace Yahoo fundamentals dynamic HashMap with typed structs (SummaryDetail, DefaultKeyStatistics, etc.) - Introduce capability-based provider traits: QuoteProvider, FundamentalsProvider, HistoryProvider - Add future MSN capability traits: ProfileProvider, EarningsProvider, FinancialsProvider, SentimentProvider, InsightsProvider, NewsProvider (all dead_code until wired to CLI) - Add shared domain types in src/api/types.rs (CompanyProfile, EarningsReport, FinancialStatements, SentimentData, InsightData, NewsItem) - Harden error propagation: Yahoo cookie auth, MSN partial fundamentals, history symbol context, cache clear failures - Strict config parsing: invalid IDX_OUTPUT returns ConfigError instead of silent fallback - Cache schema version enforcement: version mismatch treated as cache miss - Extract fetch_with_cache() helper in cli/stocks.rs - Add MSN retry/backoff parity with Yahoo client - Standardize Option<T> policy through parse/map layers - All 56 tests passing, clippy clean
This commit is contained in:
parent
a45ee3620f
commit
3998e38ffc
17 changed files with 1185 additions and 969 deletions
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@ -1,10 +1,7 @@
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use std::collections::BTreeMap;
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use chrono::NaiveDate;
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use chrono::{Datelike, NaiveDate};
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use serde::de::Error as _;
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use serde::{Deserialize, Deserializer};
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use super::symbols::{normalized_symbol, ticker_from_symbol};
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use super::map::{parse_fundamentals, parse_history, parse_history_with_drop_count, parse_quote};
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use super::raw_types::{KeyRatios, MsnChart, MsnQuote};
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use crate::api::types::{Fundamentals, Ohlc, Period, Quote};
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use crate::error::IdxError;
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@ -15,55 +12,6 @@ pub(crate) fn parse_quote_from_str(symbol: &str, raw: &str) -> Result<Quote, Idx
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parse_quote(symbol, "es)
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}
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pub(super) fn parse_quote(symbol: &str, quotes: &[MsnQuote]) -> Result<Quote, IdxError> {
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let quote = quotes.first().ok_or(IdxError::ProviderUnavailable)?;
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let raw_price = quote
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.price
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.ok_or_else(|| IdxError::SymbolNotFound(symbol.to_string()))?;
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let prev_close = quote.price_previous_close.map(round_price);
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let price = round_price(raw_price);
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let change = prev_close
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.map(|previous| price - previous)
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.or_else(|| quote.price_change.map(round_price))
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.unwrap_or(0);
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let ticker = quote
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.symbol
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.as_deref()
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.and_then(ticker_from_symbol)
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.unwrap_or_else(|| ticker_from_symbol(symbol).unwrap_or_default());
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let (week52_position, range_signal) = match (quote.price_52w_low, quote.price_52w_high) {
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(Some(low), Some(high)) if high > low => {
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let position = (raw_price - low) / (high - low);
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let signal = if position > 0.66 {
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Some("upper".to_string())
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} else if position < 0.33 {
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Some("lower".to_string())
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} else {
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Some("middle".to_string())
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};
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(Some(position), signal)
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}
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_ => (None, None),
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};
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Ok(Quote {
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symbol: normalized_symbol(symbol, &ticker),
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price,
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change,
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change_pct: quote.price_change_percent.unwrap_or(0.0),
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volume: round_u64(quote.accumulated_volume).unwrap_or(0),
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market_cap: round_u64(quote.market_cap),
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week52_high: quote.price_52w_high.map(round_price),
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week52_low: quote.price_52w_low.map(round_price),
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week52_position,
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range_signal,
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prev_close,
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avg_volume: round_u64(quote.average_volume),
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})
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}
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#[cfg_attr(not(test), allow(dead_code))]
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pub(crate) fn parse_fundamentals_from_str(
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raw: &str,
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@ -79,56 +27,24 @@ pub(crate) fn parse_fundamentals_from_str(
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parse_fundamentals(&ratios, quote.as_ref())
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}
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pub(super) fn parse_fundamentals(
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ratios: &[KeyRatios],
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quote: Option<&MsnQuote>,
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) -> Result<Fundamentals, IdxError> {
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let ratios = ratios.first().ok_or(IdxError::ProviderUnavailable)?;
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let metrics = if ratios.company_metrics.is_empty() {
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&ratios.industry_metrics
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} else {
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&ratios.company_metrics
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};
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if preferred_metric(metrics).is_none() {
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return Err(IdxError::ProviderUnavailable);
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}
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Ok(Fundamentals {
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trailing_pe: best_metric_value(metrics, |metric| metric.price_to_earnings_ratio),
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forward_pe: best_metric_value(metrics, |metric| metric.forward_price_to_eps),
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price_to_book: best_metric_value(metrics, |metric| metric.price_to_book_ratio),
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return_on_equity: best_metric_value(metrics, |metric| normalize_percentish(metric.roe)),
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profit_margins: best_metric_value(metrics, |metric| {
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normalize_percentish(metric.profit_margin.or(metric.net_margin))
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}),
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return_on_assets: best_metric_value(metrics, |metric| {
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normalize_percentish(metric.roa_ttm.or(metric.return_on_asset_current))
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}),
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revenue_growth: best_metric_value(metrics, |metric| {
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normalize_percentish(metric.revenue_ytd_ytd.or(metric.revenue_growth_rate))
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}),
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earnings_growth: best_metric_value(metrics, |metric| {
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normalize_percentish(
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metric
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.net_income_ytd_ytd_growth_rate
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.or(metric.earnings_growth_rate),
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)
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}),
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debt_to_equity: best_metric_value(metrics, |metric| metric.debt_to_equity_ratio),
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current_ratio: best_metric_value(metrics, |metric| {
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sanitize_current_ratio(metric.current_ratio)
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}),
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enterprise_value: None,
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ebitda: None,
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market_cap: quote.and_then(|item| round_u64(item.market_cap)),
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})
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}
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#[cfg_attr(not(test), allow(dead_code))]
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pub(crate) fn parse_history_from_str(period: &Period, raw: &str) -> Result<Vec<Ohlc>, IdxError> {
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let charts: Vec<MsnChart> =
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serde_json::from_str(raw).map_err(|e| IdxError::ParseError(e.to_string()))?;
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parse_history_with_verbose(period, &charts, false)
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parse_history(period, &charts)
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}
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#[allow(dead_code)] // retained for verbose history path, wired once MSN charts are exposed
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pub(super) fn parse_history_with_verbose(
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period: &Period,
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charts: &[MsnChart],
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verbose: bool,
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) -> Result<Vec<Ohlc>, IdxError> {
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let (history, dropped) = parse_history_with_drop_count(period, charts)?;
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if dropped > 0 && verbose {
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eprintln!("warning: dropped {dropped} OHLC row(s) from MSN response due to missing fields");
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}
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Ok(history)
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}
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#[allow(dead_code)]
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@ -141,86 +57,27 @@ fn parse_close_only_history_from_str(
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parse_close_only_history(period, &charts)
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}
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pub(super) fn parse_history_with_verbose(
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period: &Period,
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charts: &[MsnChart],
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verbose: bool,
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) -> Result<Vec<Ohlc>, IdxError> {
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let chart = charts.first().ok_or(IdxError::ProviderUnavailable)?;
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if !chart.series.has_real_ohlcv() {
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return Err(IdxError::ParseError(
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"msn does not expose real OHLC/volume for this history range".to_string(),
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));
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}
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let timestamps = &chart.series.time_stamps;
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let mut grouped: BTreeMap<NaiveDate, Ohlc> = BTreeMap::new();
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let mut dropped = 0usize;
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for (idx, raw_ts) in timestamps.iter().enumerate() {
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let Some(date) = parse_chart_date(raw_ts) else {
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dropped += 1;
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continue;
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};
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let point = (
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chart.series.open_prices.get(idx).copied(),
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chart.series.prices_high.get(idx).copied(),
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chart.series.prices_low.get(idx).copied(),
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chart.series.prices.get(idx).copied(),
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chart.series.volumes.get(idx).copied(),
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);
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let (Some(open), Some(high), Some(low), Some(close), Some(volume)) = point else {
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dropped += 1;
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continue;
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};
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let candle = Ohlc {
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date,
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open: round_price(open),
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high: round_price(high),
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low: round_price(low),
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close: round_price(close),
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volume: round_u64(Some(volume)).unwrap_or(0),
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};
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grouped
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.entry(date)
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.and_modify(|existing| {
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existing.high = existing.high.max(candle.high);
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existing.low = existing.low.min(candle.low);
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existing.close = candle.close;
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existing.volume = existing.volume.saturating_add(candle.volume);
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})
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.or_insert(candle);
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}
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let mut out: Vec<Ohlc> = grouped.into_values().collect();
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trim_history_to_period(period, &mut out);
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if dropped > 0 && verbose {
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eprintln!("warning: dropped {dropped} OHLC row(s) from MSN response due to missing fields");
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}
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if out.is_empty() {
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return Err(IdxError::ProviderUnavailable);
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}
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Ok(out)
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}
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fn parse_close_only_history(
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period: &Period,
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charts: &[MsnChart],
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) -> Result<Vec<ClosePoint>, IdxError> {
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let chart = charts.first().ok_or(IdxError::ProviderUnavailable)?;
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let timestamps = &chart.series.time_stamps;
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let mut grouped: BTreeMap<NaiveDate, ClosePoint> = BTreeMap::new();
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let mut grouped: std::collections::BTreeMap<NaiveDate, ClosePoint> =
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std::collections::BTreeMap::new();
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for (idx, raw_ts) in timestamps.iter().enumerate() {
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let Some(date) = parse_chart_date(raw_ts) else {
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let Some(date) = chrono::DateTime::parse_from_rfc3339(raw_ts)
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.map(|d| d.date_naive())
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.ok()
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.or_else(|| {
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raw_ts
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.parse::<i64>()
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.ok()
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.and_then(|ts| chrono::DateTime::from_timestamp(ts, 0).map(|d| d.date_naive()))
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})
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.or_else(|| NaiveDate::parse_from_str(raw_ts, "%Y-%m-%d").ok())
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else {
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continue;
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};
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let Some(close) = chart.series.prices.get(idx).copied() else {
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@ -231,7 +88,7 @@ fn parse_close_only_history(
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date,
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ClosePoint {
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date,
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close: round_price(close),
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close: close.round() as i64,
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},
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);
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}
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@ -246,25 +103,6 @@ fn parse_close_only_history(
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Ok(out)
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}
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fn trim_history_to_period(period: &Period, rows: &mut Vec<Ohlc>) {
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let days: i64 = match period {
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Period::OneDay => return,
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Period::FiveDays => 5,
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Period::OneMonth => 31,
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Period::ThreeMonths => 92,
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Period::SixMonths => 183,
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Period::OneYear => 366,
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Period::TwoYears => 731,
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Period::FiveYears => 1826,
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};
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let Some(last_date) = rows.last().map(|item| item.date) else {
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return;
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};
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let cutoff = last_date - chrono::Duration::days(days.saturating_sub(1));
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rows.retain(|item| item.date >= cutoff);
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}
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fn trim_close_history_to_period(period: &Period, rows: &mut Vec<ClosePoint>) {
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let days: i64 = match period {
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Period::OneDay => return,
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@ -284,260 +122,6 @@ fn trim_close_history_to_period(period: &Period, rows: &mut Vec<ClosePoint>) {
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rows.retain(|item| item.date >= cutoff);
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}
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fn preferred_metric(metrics: &[IndustryMetric]) -> Option<&IndustryMetric> {
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metrics.iter().max_by_key(|metric| metric_rank(metric))
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}
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fn best_metric_value<T: Copy>(
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metrics: &[IndustryMetric],
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extractor: impl Fn(&IndustryMetric) -> Option<T>,
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) -> Option<T> {
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metrics
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.iter()
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.filter_map(|metric| extractor(metric).map(|value| (metric_rank(metric), value)))
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.max_by_key(|(rank, _)| *rank)
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.map(|(_, value)| value)
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}
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fn metric_rank(metric: &IndustryMetric) -> (i32, i32) {
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(
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metric
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.year
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.as_deref()
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.and_then(|year| year.parse::<i32>().ok())
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.unwrap_or(i32::MIN),
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metric_period_priority(metric.fiscal_period_type.as_deref()),
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)
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}
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fn metric_period_priority(period: Option<&str>) -> i32 {
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match period.map(|value| value.trim()) {
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Some(value) if value.eq_ignore_ascii_case("TTM") => 7,
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Some(value)
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if value.eq_ignore_ascii_case("ANNUAL")
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|| value.eq_ignore_ascii_case("FY")
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|| value.eq_ignore_ascii_case("YEAR") =>
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{
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6
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}
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Some(value) if value.eq_ignore_ascii_case("Q4") => 5,
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Some(value) if value.eq_ignore_ascii_case("Q3") => 4,
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Some(value) if value.eq_ignore_ascii_case("Q2") => 3,
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Some(value) if value.eq_ignore_ascii_case("Q1") => 2,
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Some(value) if value.eq_ignore_ascii_case("NTM") => 1,
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_ => 0,
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}
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}
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fn normalize_percentish(value: Option<f64>) -> Option<f64> {
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value.and_then(|number| {
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if !number.is_finite() {
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None
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} else if number.abs() > 1.0 {
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Some(number / 100.0)
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} else {
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Some(number)
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}
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})
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}
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|
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fn sanitize_current_ratio(value: Option<f64>) -> Option<f64> {
|
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value.and_then(|number| {
|
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if !number.is_finite() || number < 0.01 {
|
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None
|
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} else {
|
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Some(number)
|
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}
|
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})
|
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}
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|
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#[allow(dead_code)]
|
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#[derive(Clone, Copy)]
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pub(super) enum ResampleInterval {
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Week,
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Month,
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}
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|
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#[allow(dead_code)]
|
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pub(super) fn resample_history(rows: &[Ohlc], interval: ResampleInterval) -> Vec<Ohlc> {
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let mut grouped: BTreeMap<(i32, u32), Ohlc> = BTreeMap::new();
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|
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for row in rows {
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let key = match interval {
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ResampleInterval::Week => {
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let iso = row.date.iso_week();
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(iso.year(), iso.week())
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}
|
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ResampleInterval::Month => (row.date.year(), row.date.month()),
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};
|
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|
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grouped
|
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.entry(key)
|
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.and_modify(|existing| {
|
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existing.high = existing.high.max(row.high);
|
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existing.low = existing.low.min(row.low);
|
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existing.close = row.close;
|
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existing.volume = existing.volume.saturating_add(row.volume);
|
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existing.date = row.date;
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})
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.or_insert_with(|| row.clone());
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}
|
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|
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grouped.into_values().collect()
|
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}
|
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|
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fn parse_chart_date(raw: &str) -> Option<NaiveDate> {
|
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if let Ok(date) = chrono::DateTime::parse_from_rfc3339(raw) {
|
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return Some(date.date_naive());
|
||||
}
|
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if let Ok(timestamp) = raw.parse::<i64>() {
|
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return chrono::DateTime::from_timestamp(timestamp, 0).map(|dt| dt.date_naive());
|
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}
|
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NaiveDate::parse_from_str(raw, "%Y-%m-%d").ok()
|
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}
|
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|
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fn round_price(value: f64) -> i64 {
|
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value.round() as i64
|
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}
|
||||
|
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fn round_u64(value: Option<f64>) -> Option<u64> {
|
||||
value.and_then(|number| {
|
||||
if !number.is_finite() || number.is_sign_negative() {
|
||||
None
|
||||
} else {
|
||||
Some(number.round() as u64)
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
fn de_opt_f64_lenient<'de, D>(deserializer: D) -> Result<Option<f64>, D::Error>
|
||||
where
|
||||
D: Deserializer<'de>,
|
||||
{
|
||||
#[derive(Deserialize)]
|
||||
#[serde(untagged)]
|
||||
enum NumberLike {
|
||||
F64(f64),
|
||||
String(String),
|
||||
}
|
||||
|
||||
let value = Option::<NumberLike>::deserialize(deserializer)?;
|
||||
match value {
|
||||
Some(NumberLike::F64(number)) if number.is_finite() => Ok(Some(number)),
|
||||
Some(NumberLike::F64(_)) => Ok(None),
|
||||
Some(NumberLike::String(raw)) => {
|
||||
let trimmed = raw.trim();
|
||||
if trimmed.is_empty() || trimmed.eq_ignore_ascii_case("nan") {
|
||||
Ok(None)
|
||||
} else {
|
||||
trimmed.parse::<f64>().map(Some).map_err(D::Error::custom)
|
||||
}
|
||||
}
|
||||
None => Ok(None),
|
||||
}
|
||||
}
|
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|
||||
#[derive(Debug, Deserialize)]
|
||||
#[serde(rename_all = "camelCase")]
|
||||
pub(crate) struct MsnQuote {
|
||||
#[serde(default)]
|
||||
symbol: Option<String>,
|
||||
price: Option<f64>,
|
||||
#[serde(default)]
|
||||
price_change: Option<f64>,
|
||||
#[serde(default)]
|
||||
price_change_percent: Option<f64>,
|
||||
#[serde(default)]
|
||||
price_previous_close: Option<f64>,
|
||||
#[serde(default, rename = "price52wHigh")]
|
||||
price_52w_high: Option<f64>,
|
||||
#[serde(default, rename = "price52wLow")]
|
||||
price_52w_low: Option<f64>,
|
||||
#[serde(default)]
|
||||
accumulated_volume: Option<f64>,
|
||||
#[serde(default)]
|
||||
average_volume: Option<f64>,
|
||||
#[serde(default)]
|
||||
market_cap: Option<f64>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Deserialize)]
|
||||
#[serde(rename_all = "camelCase")]
|
||||
pub(crate) struct KeyRatios {
|
||||
#[serde(default)]
|
||||
industry_metrics: Vec<IndustryMetric>,
|
||||
#[serde(default)]
|
||||
company_metrics: Vec<IndustryMetric>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Deserialize)]
|
||||
#[serde(rename_all = "camelCase")]
|
||||
struct IndustryMetric {
|
||||
year: Option<String>,
|
||||
fiscal_period_type: Option<String>,
|
||||
#[serde(default)]
|
||||
revenue_growth_rate: Option<f64>,
|
||||
#[serde(default)]
|
||||
earnings_growth_rate: Option<f64>,
|
||||
#[serde(default, rename = "netIncomeYTDYTDGrowthRate")]
|
||||
net_income_ytd_ytd_growth_rate: Option<f64>,
|
||||
#[serde(default, rename = "revenueYTDYTD")]
|
||||
revenue_ytd_ytd: Option<f64>,
|
||||
#[serde(default)]
|
||||
net_margin: Option<f64>,
|
||||
#[serde(default)]
|
||||
profit_margin: Option<f64>,
|
||||
#[serde(default)]
|
||||
roe: Option<f64>,
|
||||
#[serde(default, rename = "roaTTM")]
|
||||
roa_ttm: Option<f64>,
|
||||
#[serde(default)]
|
||||
return_on_asset_current: Option<f64>,
|
||||
#[serde(default)]
|
||||
debt_to_equity_ratio: Option<f64>,
|
||||
#[serde(default, deserialize_with = "de_opt_f64_lenient")]
|
||||
current_ratio: Option<f64>,
|
||||
#[serde(default)]
|
||||
price_to_earnings_ratio: Option<f64>,
|
||||
#[serde(default, rename = "forwardPriceToEPS")]
|
||||
forward_price_to_eps: Option<f64>,
|
||||
#[serde(default)]
|
||||
price_to_book_ratio: Option<f64>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Deserialize)]
|
||||
pub(crate) struct MsnChart {
|
||||
series: ChartSeries,
|
||||
}
|
||||
|
||||
#[derive(Debug, Default, Deserialize)]
|
||||
#[serde(rename_all = "camelCase")]
|
||||
struct ChartSeries {
|
||||
#[serde(default)]
|
||||
time_stamps: Vec<String>,
|
||||
#[serde(default)]
|
||||
prices: Vec<f64>,
|
||||
#[serde(default)]
|
||||
open_prices: Vec<f64>,
|
||||
#[serde(default)]
|
||||
prices_high: Vec<f64>,
|
||||
#[serde(default)]
|
||||
prices_low: Vec<f64>,
|
||||
#[serde(default)]
|
||||
volumes: Vec<f64>,
|
||||
}
|
||||
|
||||
impl ChartSeries {
|
||||
fn has_real_ohlcv(&self) -> bool {
|
||||
!self.time_stamps.is_empty()
|
||||
&& self.open_prices.len() == self.time_stamps.len()
|
||||
&& self.prices_high.len() == self.time_stamps.len()
|
||||
&& self.prices_low.len() == self.time_stamps.len()
|
||||
&& self.prices.len() == self.time_stamps.len()
|
||||
&& self.volumes.len() == self.time_stamps.len()
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
|
||||
struct ClosePoint {
|
||||
date: NaiveDate,
|
||||
|
|
@ -547,8 +131,8 @@ struct ClosePoint {
|
|||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::{
|
||||
ResampleInterval, parse_close_only_history_from_str, parse_fundamentals_from_str,
|
||||
parse_history_from_str, parse_quote_from_str, resample_history,
|
||||
parse_close_only_history_from_str, parse_fundamentals_from_str, parse_history_from_str,
|
||||
parse_quote_from_str,
|
||||
};
|
||||
use crate::api::types::{Ohlc, Period};
|
||||
|
||||
|
|
@ -657,83 +241,12 @@ mod tests {
|
|||
},
|
||||
];
|
||||
|
||||
let weekly = resample_history(&rows, ResampleInterval::Week);
|
||||
let weekly =
|
||||
super::super::map::resample_history(&rows, super::super::map::ResampleInterval::Week);
|
||||
assert_eq!(weekly.len(), 2);
|
||||
assert_eq!(weekly[0].open, 100);
|
||||
assert_eq!(weekly[0].close, 109);
|
||||
assert_eq!(weekly[0].volume, 21);
|
||||
assert_eq!(weekly[1].close, 114);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn normalizes_live_style_percent_metrics() {
|
||||
let raw = r#"[
|
||||
{
|
||||
"industryMetrics": [
|
||||
{
|
||||
"year": "2025",
|
||||
"fiscalPeriodType": "Q1",
|
||||
"revenueGrowthRate": 9.584679119559473,
|
||||
"earningsGrowthRate": 28.793562408178182,
|
||||
"netMargin": 35.05868669243578,
|
||||
"roe": 16.27117054525313,
|
||||
"returnOnAssetCurrent": 2.5707368150889867,
|
||||
"debtToEquityRatio": 32.80253090283387,
|
||||
"currentRatio": 9.38775908812586E-06,
|
||||
"priceToEarningsRatio": 21.331183408517173,
|
||||
"priceToBookRatio": 3.0625539678152234
|
||||
},
|
||||
{
|
||||
"year": "2025",
|
||||
"fiscalPeriodType": "TTM",
|
||||
"revenueYTDYTD": 0.0481563350951302,
|
||||
"netIncomeYTDYTDGrowthRate": 0.0492553610240516,
|
||||
"profitMargin": 0.504190105842766,
|
||||
"roe": 0.211493,
|
||||
"roaTTM": 3.7919,
|
||||
"priceToEarningsRatio": 17.296683642049683,
|
||||
"priceToSalesRatio": 7.6652108104296985,
|
||||
"priceToBookRatio": 3.107795874896335
|
||||
},
|
||||
{
|
||||
"year": "2025",
|
||||
"fiscalPeriodType": "NTM",
|
||||
"forwardPriceToEPS": 14.723
|
||||
}
|
||||
],
|
||||
"companyMetrics": [
|
||||
{
|
||||
"year": "2025",
|
||||
"fiscalPeriodType": "TTM",
|
||||
"revenueYTDYTD": 0.0481563350951302,
|
||||
"netIncomeYTDYTDGrowthRate": 0.0492553610240516,
|
||||
"profitMargin": 0.504190105842766,
|
||||
"roe": 0.211493,
|
||||
"roaTTM": 3.7919,
|
||||
"priceToEarningsRatio": 17.296683642049683,
|
||||
"priceToBookRatio": 3.107795874896335
|
||||
},
|
||||
{
|
||||
"year": "2025",
|
||||
"fiscalPeriodType": "NTM",
|
||||
"forwardPriceToEPS": 14.723
|
||||
}
|
||||
]
|
||||
}
|
||||
]"#;
|
||||
let quote_raw = r#"[{"symbol":"BBCA","marketCap":866500400000000.0}]"#;
|
||||
|
||||
let fundamentals =
|
||||
parse_fundamentals_from_str(raw, Some(quote_raw)).expect("fundamentals parsed");
|
||||
assert_eq!(fundamentals.trailing_pe, Some(17.296683642049683));
|
||||
assert_eq!(fundamentals.forward_pe, Some(14.723));
|
||||
assert_eq!(fundamentals.price_to_book, Some(3.107795874896335));
|
||||
assert_eq!(fundamentals.return_on_equity, Some(0.211493));
|
||||
assert_eq!(fundamentals.profit_margins, Some(0.504190105842766));
|
||||
assert_eq!(fundamentals.return_on_assets, Some(0.037919));
|
||||
assert_eq!(fundamentals.revenue_growth, Some(0.0481563350951302));
|
||||
assert_eq!(fundamentals.earnings_growth, Some(0.0492553610240516));
|
||||
assert_eq!(fundamentals.debt_to_equity, None);
|
||||
assert_eq!(fundamentals.current_ratio, None);
|
||||
}
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue