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use crate::models::{parse_timestamp_ms, AttributeValue, EventLog, TemporalProfile};
use crate::state::{get_or_init_state, StoredObject};
use serde_json::json;
/// Priority 4 — Temporal profile discovery and conformance.
///
/// A temporal profile records, for every directly-follows pair (A→B) in an
/// event log, the mean and standard deviation of the elapsed time (ms).
/// Conformance checking flags edges whose observed duration deviates more than
/// `zeta` standard deviations from the mean.
use wasm_bindgen::prelude::*;
/// Pure-Rust temporal profile discovery without wasm-bindgen. Used by integration tests.
pub fn discover_temporal_profile_from_log(
log: &EventLog,
activity_key: &str,
timestamp_key: &str,
) -> TemporalProfile {
let mut acc: std::collections::HashMap<(String, String), (f64, f64, usize)> =
std::collections::HashMap::new();
for trace in &log.traces {
let pairs: Vec<(String, Option<i64>)> = trace
.events
.iter()
.filter_map(|e| {
let act = e
.attributes
.get(activity_key)
.and_then(|v| v.as_string())
.map(str::to_owned)?;
let ts = e.attributes.get(timestamp_key).and_then(|v| {
if let AttributeValue::Date(s) = v {
parse_timestamp_ms(s)
} else {
None
}
});
Some((act, ts))
})
.collect();
for i in 0..pairs.len().saturating_sub(1) {
if let (Some(t1), Some(t2)) = (pairs[i].1, pairs[i + 1].1) {
if t2 >= t1 {
let dur = (t2 - t1) as f64;
let key = (pairs[i].0.clone(), pairs[i + 1].0.clone());
let e = acc.entry(key).or_insert((0.0, 0.0, 0));
e.0 += dur;
e.1 += dur * dur;
e.2 += 1;
}
}
}
}
let pairs_map: std::collections::BTreeMap<(String, String), (f64, f64, usize)> = acc
.into_iter()
.map(|((a, b), (sum, sum_sq, cnt))| {
let mean = sum / cnt as f64;
let stdev = ((sum_sq / cnt as f64) - mean * mean).max(0.0).sqrt();
((a, b), (mean, stdev, cnt))
})
.collect();
TemporalProfile { pairs: pairs_map }
}
/// Discover a temporal profile from an event log.
///
/// Returns a handle to a `TemporalProfile` stored in global state.
///
/// ```javascript
/// const profHandle = pm.discover_temporal_profile(logHandle, 'concept:name', 'time:timestamp');
/// const result = pm.check_temporal_conformance(logHandle, profHandle,
/// 'concept:name', 'time:timestamp', 2.0);
/// ```
#[wasm_bindgen]
pub fn discover_temporal_profile(
log_handle: &str,
activity_key: &str,
timestamp_key: &str,
) -> Result<JsValue, JsValue> {
let profile = get_or_init_state().with_event_log(log_handle, |log| {
Ok(discover_temporal_profile_from_log(
log,
activity_key,
timestamp_key,
))
})?;
let handle = get_or_init_state().store_object(StoredObject::TemporalProfile(profile))?;
Ok(crate::error::js_val(&handle))
}
/// Check a log against a temporal profile.
///
/// Every directly-follows step in every trace is measured. A step is flagged
/// as a deviation when `|duration - mean| > zeta * stdev`.
///
/// Returns a JSON string:
/// ```json
/// {
/// "total_traces": 10,
/// "total_steps": 50,
/// "deviations": 3,
/// "fitness": 0.94,
/// "details": [
/// {"case_id":"Case1","from":"A","to":"B","duration_ms":9000000,
/// "mean_ms":3600000,"stdev_ms":600000,"zeta":9.0,"deviation":true}
/// ]
/// }
/// ```
#[wasm_bindgen]
pub fn check_temporal_conformance(
log_handle: &str,
profile_handle: &str,
activity_key: &str,
timestamp_key: &str,
zeta: f64,
) -> Result<JsValue, JsValue> {
let profile_pairs =
get_or_init_state().with_temporal_profile(profile_handle, |p| Ok(p.pairs.clone()))?;
let result_json = get_or_init_state().with_event_log(log_handle, |log| {
let mut total_steps = 0usize;
let mut total_deviations = 0usize;
let mut details: Vec<serde_json::Value> = Vec::new();
for trace in &log.traces {
let case_id = trace
.attributes
.get("concept:name")
.and_then(|v| v.as_string())
.unwrap_or("unknown")
.to_string();
let pairs: Vec<(String, Option<i64>)> = trace
.events
.iter()
.filter_map(|e| {
let act = e
.attributes
.get(activity_key)
.and_then(|v| v.as_string())
.map(str::to_owned)?;
let ts = e.attributes.get(timestamp_key).and_then(|v| {
if let AttributeValue::Date(s) = v {
parse_timestamp_ms(s)
} else {
None
}
});
Some((act, ts))
})
.collect();
for i in 0..pairs.len().saturating_sub(1) {
total_steps += 1;
let key = (&pairs[i].0, &pairs[i + 1].0);
if let Some(&(mean, stdev, _)) = profile_pairs.get(&(key.0.clone(), key.1.clone()))
{
if let (Some(t1), Some(t2)) = (pairs[i].1, pairs[i + 1].1) {
let dur = (t2 - t1).max(0) as f64;
let z = if stdev > 0.0 {
(dur - mean).abs() / stdev
} else {
0.0
};
let is_deviation = z > zeta;
if is_deviation {
total_deviations += 1;
}
details.push(json!({
"case_id": case_id,
"from": pairs[i].0,
"to": pairs[i + 1].0,
"duration_ms": dur,
"mean_ms": mean,
"stdev_ms": stdev,
"zeta": z,
"deviation": is_deviation,
}));
}
}
}
}
let fitness = if total_steps == 0 {
1.0
} else {
1.0 - total_deviations as f64 / total_steps as f64
};
serde_json::to_string(&json!({
"total_traces": log.traces.len(),
"total_steps": total_steps,
"deviations": total_deviations,
"fitness": fitness,
"details": details,
}))
.map_err(|e| crate::error::js_val(&e.to_string()))
})?;
Ok(crate::error::js_val(&result_json))
}