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test: parity harness for rust vs python signals analyzer
Validates the brightstaff signals port against the katanemo/signals Python reference on lmsys/lmsys-chat-1m. Adds a signals_replay bin emitting python- compatible JSON, a pyarrow-based driver (bypasses the datasets loader pickle bug on python 3.14), a 3-tier comparator, and an on-demand workflow_dispatch CI job. Made-with: Cursor
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@ -3,6 +3,14 @@ name = "brightstaff"
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version = "0.1.0"
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edition = "2021"
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[[bin]]
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name = "brightstaff"
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path = "src/main.rs"
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[[bin]]
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name = "signals_replay"
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path = "src/bin/signals_replay.rs"
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[dependencies]
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async-openai = "0.30.1"
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async-trait = "0.1"
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175
crates/brightstaff/src/bin/signals_replay.rs
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175
crates/brightstaff/src/bin/signals_replay.rs
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@ -0,0 +1,175 @@
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//! `signals-replay` — batch driver for the `brightstaff` signal analyzer.
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//!
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//! Reads JSONL conversations from stdin (one per line) and emits matching
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//! JSONL reports on stdout, one per input conversation, in the same order.
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//!
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//! Input shape (per line):
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//! ```json
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//! {"id": "convo-42", "messages": [{"from": "human", "value": "..."}, ...]}
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//! ```
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//!
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//! Output shape (per line, success):
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//! ```json
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//! {"id": "convo-42", "report": { ...python-compatible SignalReport dict... }}
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//! ```
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//!
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//! On per-line failure (parse / analyzer error), emits:
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//! ```json
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//! {"id": "convo-42", "error": "..."}
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//! ```
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//!
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//! The output report dict is shaped to match the Python reference's
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//! `SignalReport.to_dict()` byte-for-byte so the parity comparator can do a
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//! direct structural diff.
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use std::io::{self, BufRead, BufWriter, Write};
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use serde::Deserialize;
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use serde_json::{json, Map, Value};
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use brightstaff::signals::{SignalAnalyzer, SignalGroup, SignalReport};
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#[derive(Debug, Deserialize)]
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struct InputLine {
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id: Value,
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messages: Vec<MessageRow>,
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}
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#[derive(Debug, Deserialize)]
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struct MessageRow {
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#[serde(default)]
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from: String,
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#[serde(default)]
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value: String,
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}
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fn main() {
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let stdin = io::stdin();
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let stdout = io::stdout();
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let mut out = BufWriter::new(stdout.lock());
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let analyzer = SignalAnalyzer::default();
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for line in stdin.lock().lines() {
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let line = match line {
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Ok(l) => l,
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Err(e) => {
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eprintln!("read error: {e}");
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std::process::exit(1);
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}
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};
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let trimmed = line.trim();
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if trimmed.is_empty() {
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continue;
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}
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let result = process_line(&analyzer, trimmed);
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// Always emit one line per input line so id ordering stays aligned.
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if let Err(e) = writeln!(out, "{result}") {
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eprintln!("write error: {e}");
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std::process::exit(1);
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}
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// Flush periodically isn't strictly needed — BufWriter handles it,
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// and the parent process reads the whole stream when we're done.
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}
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let _ = out.flush();
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}
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fn process_line(analyzer: &SignalAnalyzer, line: &str) -> Value {
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let parsed: InputLine = match serde_json::from_str(line) {
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Ok(p) => p,
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Err(e) => {
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return json!({
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"id": Value::Null,
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"error": format!("input parse: {e}"),
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});
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}
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};
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let id = parsed.id.clone();
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let view: Vec<brightstaff::signals::analyzer::ShareGptMessage<'_>> = parsed
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.messages
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.iter()
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.map(|m| brightstaff::signals::analyzer::ShareGptMessage {
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from: m.from.as_str(),
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value: m.value.as_str(),
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})
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.collect();
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let report = analyzer.analyze_sharegpt(&view);
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let report_dict = report_to_python_dict(&report);
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json!({
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"id": id,
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"report": report_dict,
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})
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}
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/// Convert a `SignalReport` into the Python reference's `to_dict()` shape.
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///
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/// Ordering of category keys in each layer dict follows the Python source
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/// exactly so even string-equality comparisons behave deterministically.
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fn report_to_python_dict(r: &SignalReport) -> Value {
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let mut interaction = Map::new();
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interaction.insert(
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"misalignment".to_string(),
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signal_group_to_python(&r.interaction.misalignment),
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);
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interaction.insert(
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"stagnation".to_string(),
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signal_group_to_python(&r.interaction.stagnation),
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);
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interaction.insert(
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"disengagement".to_string(),
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signal_group_to_python(&r.interaction.disengagement),
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);
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interaction.insert(
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"satisfaction".to_string(),
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signal_group_to_python(&r.interaction.satisfaction),
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);
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let mut execution = Map::new();
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execution.insert(
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"failure".to_string(),
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signal_group_to_python(&r.execution.failure),
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);
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execution.insert(
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"loops".to_string(),
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signal_group_to_python(&r.execution.loops),
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);
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let mut environment = Map::new();
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environment.insert(
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"exhaustion".to_string(),
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signal_group_to_python(&r.environment.exhaustion),
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);
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json!({
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"interaction_signals": Value::Object(interaction),
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"execution_signals": Value::Object(execution),
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"environment_signals": Value::Object(environment),
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"overall_quality": r.overall_quality.as_str(),
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"summary": r.summary,
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})
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}
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fn signal_group_to_python(g: &SignalGroup) -> Value {
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let signals: Vec<Value> = g
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.signals
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.iter()
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.map(|s| {
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json!({
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"signal_type": s.signal_type.as_str(),
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"message_index": s.message_index,
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"snippet": s.snippet,
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"confidence": s.confidence,
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"metadata": s.metadata,
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})
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})
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.collect();
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json!({
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"category": g.category,
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"count": g.count,
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"severity": g.severity,
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"signals": signals,
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})
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}
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