fix(swym): parse result_summary from actual API response structure
The swym API response structure differs from what the code previously
assumed. Fix all field extraction to match the real shape:
- total_positions: backtest_metadata.position_count (not top-level)
- sharpe_ratio, win_rate, profit_factor: instruments.{key}.{field}.value
wrapped decimal strings (not plain floats); treat Decimal::MAX sentinel
(~7.9e28) as None
- net_pnl: instruments.{key}.pnl (plain decimal string)
- instrument key derived as "{exchange_no_underscores}-{base}_{quote}"
Also fix coverage-based backtest_from clamping: after the coverage
check, compute the effective backtest start as the max first_open across
all instruments × common intervals, so strategies never fail with
"requested range outside available data". Log per-interval date ranges
for each instrument at startup.
Additionally:
- Compact format_audit_summary to handle {"rules":[...],"total_bars":N}
structure with per-condition true_count/evaluated breakdown
- Drop avg_bars from summary_line (field absent from API)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
39
src/agent.rs
39
src/agent.rs
@@ -69,17 +69,24 @@ pub async fn run(cli: &Cli) -> Result<()> {
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instruments.len()
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);
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let mut available_intervals: Vec<String> = Vec::new();
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// Store coverage so we can compute the effective backtest start after intersecting intervals.
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let mut all_coverage: Vec<(&Instrument, Vec<crate::swym::CandleCoverage>)> = Vec::new();
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for inst in &instruments {
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match swym.candle_coverage(&inst.exchange, &inst.symbol).await {
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Ok(coverage) => {
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let intervals: Vec<&str> = coverage.iter().map(|c| c.interval.as_str()).collect();
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info!("{}: intervals {:?}", inst.symbol, intervals);
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let interval_ranges: Vec<String> = coverage
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.iter()
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.map(|c| format!("{}({} – {})", c.interval, c.first_open, c.last_close))
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.collect();
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info!("{}: {}", inst.symbol, interval_ranges.join(", "));
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if available_intervals.is_empty() {
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available_intervals = coverage.iter().map(|c| c.interval.clone()).collect();
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} else {
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// Intersect — only keep intervals available for ALL instruments
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available_intervals.retain(|iv| intervals.contains(&iv.as_str()));
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}
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all_coverage.push((inst, coverage));
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}
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Err(e) => {
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warn!("could not check coverage for {}: {e}", inst.symbol);
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@@ -91,6 +98,24 @@ pub async fn run(cli: &Cli) -> Result<()> {
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}
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info!("common intervals: {:?}", available_intervals);
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// Derive the effective backtest start: take the latest first_open across all instruments
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// for the common intervals so that strategies can always find their required candle data.
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let mut effective_backtest_from = cli.backtest_from.clone();
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for (inst, coverage) in &all_coverage {
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for c in coverage {
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if available_intervals.contains(&c.interval) && c.first_open > effective_backtest_from {
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warn!(
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"{} {}: data starts {}, clamping backtest_from from {} → {}",
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inst.symbol, c.interval, c.first_open, effective_backtest_from, c.first_open
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);
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effective_backtest_from = c.first_open.clone();
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}
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}
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}
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if effective_backtest_from != cli.backtest_from {
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info!("effective backtest_from: {effective_backtest_from}");
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}
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// Load DSL schema for the system prompt
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let schema = include_str!("dsl-schema.json");
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let system = prompts::system_prompt(schema);
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@@ -200,12 +225,12 @@ pub async fn run(cli: &Cli) -> Result<()> {
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let mut results: Vec<BacktestResult> = Vec::new();
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for inst in &instruments {
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info!("backtesting {} on {}...", inst.symbol, cli.backtest_from);
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info!("backtesting {} on {}...", inst.symbol, effective_backtest_from);
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match run_single_backtest(
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&swym,
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inst,
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&strategy,
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&cli.backtest_from,
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&effective_backtest_from,
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&cli.backtest_to,
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&cli.initial_balance,
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&cli.fees_percent,
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@@ -393,7 +418,13 @@ async fn run_single_backtest(
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.await
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.context("poll")?;
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Ok(BacktestResult::from_response(&final_resp, &inst.symbol))
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Ok(BacktestResult::from_response(
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&final_resp,
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&inst.symbol,
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&inst.exchange,
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&inst.base(),
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&inst.quote(),
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))
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}
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fn save_validated_strategy(
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133
src/swym.rs
133
src/swym.rs
@@ -52,22 +52,47 @@ pub struct BacktestResult {
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}
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impl BacktestResult {
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pub fn from_response(resp: &PaperRunResponse, instrument: &str) -> Self {
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/// Parse a backtest response.
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///
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/// `exchange`, `base`, `quote` are needed to derive the instrument key used
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/// in the `result_summary.instruments` map (e.g. `binancespot-eth_usdc`).
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pub fn from_response(
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resp: &PaperRunResponse,
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instrument: &str,
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exchange: &str,
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base: &str,
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quote: &str,
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) -> Self {
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let summary = resp.result_summary.as_ref();
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if let Some(s) = summary {
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tracing::debug!("[{instrument}] result_summary: {}", serde_json::to_string(s).unwrap_or_default());
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} else {
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tracing::debug!("[{instrument}] result_summary: null");
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}
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// The API key for per-instrument stats: "binance_spot" + "eth" + "usdc" → "binancespot-eth_usdc"
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let inst_key = format!("{}-{}_{}", exchange.replace('_', ""), base, quote);
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let total_positions = summary.and_then(|s| {
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s["backtest_metadata"]["position_count"].as_u64().map(|v| v as u32)
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});
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let inst_stats = summary.and_then(|s| s["instruments"].get(&inst_key));
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Self {
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run_id: resp.id,
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instrument: instrument.to_string(),
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status: resp.status.clone(),
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total_positions: summary.and_then(|s| s["total_positions"].as_u64().map(|v| v as u32)),
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winning_positions: summary.and_then(|s| s["winning_positions"].as_u64().map(|v| v as u32)),
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losing_positions: summary.and_then(|s| s["losing_positions"].as_u64().map(|v| v as u32)),
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win_rate: summary.and_then(|s| s["win_rate"].as_f64()),
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profit_factor: summary.and_then(|s| s["profit_factor"].as_f64()),
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total_pnl: summary.and_then(|s| s["total_pnl"].as_f64()),
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net_pnl: summary.and_then(|s| s["net_pnl"].as_f64()),
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sharpe_ratio: summary.and_then(|s| s["sharpe_ratio"].as_f64()),
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total_fees: summary.and_then(|s| s["total_fees"].as_f64()),
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avg_bars_in_trade: summary.and_then(|s| s["avg_bars_in_trade"].as_f64()),
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total_positions,
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winning_positions: None,
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losing_positions: None,
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win_rate: inst_stats.and_then(|s| parse_ratio_value(&s["win_rate"])),
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profit_factor: inst_stats.and_then(|s| parse_ratio_value(&s["profit_factor"])),
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total_pnl: inst_stats.and_then(|s| parse_decimal_str(&s["pnl"])),
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net_pnl: inst_stats.and_then(|s| parse_decimal_str(&s["pnl"])),
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sharpe_ratio: inst_stats.and_then(|s| parse_ratio_value(&s["sharpe_ratio"])),
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total_fees: None,
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avg_bars_in_trade: None,
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error_message: resp.error_message.clone(),
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condition_audit_summary: summary.and_then(|s| s.get("condition_audit_summary").cloned()),
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}
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@@ -83,14 +108,13 @@ impl BacktestResult {
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);
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}
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let mut s = format!(
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"[{}] trades={} win_rate={:.1}% pf={:.2} net_pnl={:.2} sharpe={:.2} avg_bars={:.1}",
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"[{}] trades={} win_rate={:.1}% pf={:.2} net_pnl={:.2} sharpe={:.2}",
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self.instrument,
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self.total_positions.unwrap_or(0),
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self.win_rate.unwrap_or(0.0) * 100.0,
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self.profit_factor.unwrap_or(0.0),
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self.net_pnl.unwrap_or(0.0),
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self.sharpe_ratio.unwrap_or(0.0),
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self.avg_bars_in_trade.unwrap_or(0.0),
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);
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if self.total_positions.unwrap_or(0) == 0 {
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if let Some(audit) = &self.condition_audit_summary {
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@@ -113,33 +137,82 @@ impl BacktestResult {
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}
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}
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/// Parse a `{"interval": null, "value": "123.45"}` ratio wrapper.
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/// Returns `None` for null, missing, or sentinel values (Decimal::MAX ≈ 7.9e28).
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fn parse_ratio_value(v: &Value) -> Option<f64> {
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let s = v.get("value")?.as_str()?;
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let f: f64 = s.parse().ok()?;
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if f.abs() > 1e20 { None } else { Some(f) }
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}
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/// Parse a plain decimal string JSON value.
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/// Returns `None` for null, missing, or sentinel values.
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fn parse_decimal_str(v: &Value) -> Option<f64> {
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let f: f64 = v.as_str()?.parse().ok()?;
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if f.abs() > 1e20 { None } else { Some(f) }
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}
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/// Render a condition_audit_summary Value into a compact one-line string.
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/// Handles both object and array shapes we might receive from the API.
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///
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/// Handles the primary shape from the swym API:
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/// `{"rules": [{rule_index, times_fired, conditions: [{kind, path, true_count, insufficient_data_count}]}], "total_bars": N}`
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fn format_audit_summary(audit: &Value) -> String {
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match audit {
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Value::Object(map) => map
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// Primary shape: {"rules": [...], "total_bars": N}
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if let Some(rules) = audit.get("rules").and_then(|r| r.as_array()) {
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let total_bars = audit["total_bars"].as_u64().unwrap_or(0);
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let parts: Vec<String> = rules
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.iter()
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.map(|(k, v)| format!("{k}={v}"))
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.collect::<Vec<_>>()
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.join(", "),
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Value::Array(arr) => arr
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.map(|rule| {
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let idx = rule["rule_index"].as_u64().unwrap_or(0);
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let fired = rule["times_fired"].as_u64().unwrap_or(0);
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let cond_summary = rule["conditions"]
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.as_array()
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.map(|conds| {
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conds
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.iter()
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.map(|c| {
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let kind = c["kind"].as_str().unwrap_or("?");
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let true_count = c["true_count"].as_u64().unwrap_or(0);
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let nodata = c["insufficient_data_count"].as_u64().unwrap_or(0);
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let evaluated = total_bars.saturating_sub(nodata);
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if nodata > total_bars / 2 {
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format!("{kind}:{true_count}/{evaluated}[{nodata}nd]")
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} else {
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format!("{kind}:{true_count}/{evaluated}")
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}
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})
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.collect::<Vec<_>>()
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.join(" ")
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})
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.unwrap_or_default();
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format!("R{idx}(f={fired})[{cond_summary}]")
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})
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.collect();
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return parts.join(" | ");
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}
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// Fallback: plain array of named conditions
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if let Some(arr) = audit.as_array() {
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return arr
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.iter()
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.filter_map(|item| {
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let name = item.get("name").or_else(|| item.get("condition"))?.as_str()?;
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// Try common field names for hit counts
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if let (Some(true_count), Some(total)) = (
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item.get("true_count").or_else(|| item.get("hit_count")).or_else(|| item.get("true_bars")).and_then(|v| v.as_u64()),
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item.get("total").or_else(|| item.get("total_bars")).or_else(|| item.get("evaluated")).and_then(|v| v.as_u64()),
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) {
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Some(format!("{name}: {true_count}/{total}"))
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} else {
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Some(format!("{name}: {item}"))
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let true_count = item
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.get("true_count")
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.or_else(|| item.get("hit_count"))
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.and_then(|v| v.as_u64());
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let total = item
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.get("total")
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.or_else(|| item.get("total_bars"))
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.and_then(|v| v.as_u64());
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match (true_count, total) {
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(Some(t), Some(n)) => Some(format!("{name}: {t}/{n}")),
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_ => Some(format!("{name}: {item}")),
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}
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})
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.collect::<Vec<_>>()
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.join(", "),
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other => other.to_string(),
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.join(", ");
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}
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audit.to_string()
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}
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impl SwymClient {
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