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//! Trace service layer — MCP-facing recipe_trace observability tools.
//!
//! Thin adapter that scans Card samples sidecar files for rows carrying a
//! `.trace` object (produced by the bundled `recipe_trace` pkg via its
//! `M.card_row(result, case, opts)` helper) and exposes two MCP tools:
//!
//! - [`AppService::trace_query`] — filter trace-bearing samples across
//! every Card by `pkg` / `min_calls` / `max_calls` / `min_ms` / `max_ms`
//! / `completed` and page the post-filter stream.
//! - [`AppService::trace_diff`] — compare two individual trace rows and
//! emit a compact delta object (`calls_delta`, `ms_delta`,
//! `ms_per_call_delta`, `completed_a`, `completed_b`).
//!
//! Both tools are read-only over the existing Card store: no new
//! persistence layer is introduced. Rows without a `.trace` object are
//! transparently skipped so tools are safe to run against Card stores
//! that mix traced and untraced samples.
use algocline_engine::card;
use serde_json::{json, Value as Json};
use super::AppService;
/// Query filter shape assembled by callers before invoking
/// [`AppService::trace_query`]. Kept private to this module — the
/// MCP-facing crate defines its own schemars-derived params struct and
/// passes fields positionally into the query method (mirrors
/// `card_lineage`).
#[derive(Debug, Default, Clone, Copy)]
struct QueryFilter {
pub min_calls: Option<u64>,
pub max_calls: Option<u64>,
pub min_ms: Option<f64>,
pub max_ms: Option<f64>,
pub completed: Option<bool>,
pub offset: usize,
pub limit: Option<usize>,
}
impl AppService {
/// Scan every Card sample sidecar for rows carrying a `.trace`
/// object and return an array of hits after filter + paging.
///
/// # Response shape
///
/// ```jsonc
/// [
/// {
/// "card_id": "<Card id>",
/// "pkg": "<Card pkg>",
/// "sample_index": <0-based index into the sidecar JSONL>,
/// "trace": {
/// "total_calls": <u64>,
/// "total_trace_ms": <f64>,
/// "completed": <bool>
/// },
/// "case": <optional passthrough of the sample's `.case` value>
/// },
/// ...
/// ]
/// ```
///
/// Rows without a `.trace.total_calls` field are treated as untraced
/// and skipped without contributing to `offset`. This means paging
/// is stable across a Card store that mixes traced and untraced
/// samples.
#[allow(clippy::too_many_arguments)]
pub fn trace_query(
&self,
pkg: Option<&str>,
min_calls: Option<u64>,
max_calls: Option<u64>,
min_ms: Option<f64>,
max_ms: Option<f64>,
completed: Option<bool>,
offset: Option<usize>,
limit: Option<usize>,
) -> Result<String, String> {
let filter = QueryFilter {
min_calls,
max_calls,
min_ms,
max_ms,
completed,
offset: offset.unwrap_or(0),
limit,
};
let summaries = self.card_store.list(pkg)?;
let mut matched: usize = 0;
let mut out: Vec<Json> = Vec::new();
'cards: for summary in summaries {
let samples = self
.card_store
.read_samples(&summary.card_id, card::SamplesQuery::default())?;
for (idx, row) in samples.iter().enumerate() {
let trace = match row.get("trace").and_then(|t| t.as_object()) {
Some(t) => t,
None => continue,
};
let total_calls = match trace.get("total_calls").and_then(|v| v.as_u64()) {
Some(v) => v,
None => continue,
};
let total_ms = trace
.get("total_trace_ms")
.and_then(|v| v.as_f64())
.unwrap_or(0.0);
let completed = trace
.get("completed")
.and_then(|v| v.as_bool())
.unwrap_or(false);
if let Some(min) = filter.min_calls {
if total_calls < min {
continue;
}
}
if let Some(max) = filter.max_calls {
if total_calls > max {
continue;
}
}
if let Some(min) = filter.min_ms {
if total_ms < min {
continue;
}
}
if let Some(max) = filter.max_ms {
if total_ms > max {
continue;
}
}
if let Some(want) = filter.completed {
if completed != want {
continue;
}
}
if matched < filter.offset {
matched += 1;
continue;
}
if let Some(lim) = filter.limit {
if out.len() >= lim {
break 'cards;
}
}
matched += 1;
let mut hit = serde_json::Map::new();
hit.insert("card_id".into(), json!(summary.card_id));
hit.insert("pkg".into(), json!(summary.pkg));
hit.insert("sample_index".into(), json!(idx));
hit.insert(
"trace".into(),
json!({
"total_calls": total_calls,
"total_trace_ms": total_ms,
"completed": completed,
}),
);
if let Some(case) = row.get("case") {
hit.insert("case".into(), case.clone());
}
out.push(Json::Object(hit));
}
}
Ok(Json::Array(out).to_string())
}
/// Fetch two `.trace` objects by Card id + sample index and return a
/// compact delta report.
///
/// # Response shape
///
/// ```jsonc
/// {
/// "a_ref": { "card_id": ..., "sample_index": <n> },
/// "b_ref": { "card_id": ..., "sample_index": <n> },
/// "a_trace": { "total_calls": .., "total_trace_ms": .., "completed": .. },
/// "b_trace": { "total_calls": .., "total_trace_ms": .., "completed": .. },
/// "delta": {
/// "calls_delta": <b.total_calls - a.total_calls>,
/// "ms_delta": <b.total_trace_ms - a.total_trace_ms>,
/// "ms_per_call_delta": <b.avg_ms_per_call - a.avg_ms_per_call>,
/// "completed_a": <bool>,
/// "completed_b": <bool>
/// }
/// }
/// ```
///
/// A missing `sample_index` defaults to `0`. Errors:
/// - Card id not found → `"card '<id>' not found"`
/// - Sample index out of range → `"card '<id>' sample index <n> out of range (len=<len>)"`
/// - Row exists but has no `.trace` object → `"card '<id>' sample <n> has no trace"`
pub fn trace_diff(
&self,
a_card_id: &str,
a_sample_index: Option<usize>,
b_card_id: &str,
b_sample_index: Option<usize>,
) -> Result<String, String> {
let (a_trace, a_index) = self.load_trace(a_card_id, a_sample_index)?;
let (b_trace, b_index) = self.load_trace(b_card_id, b_sample_index)?;
let a_calls = a_trace.total_calls as i64;
let b_calls = b_trace.total_calls as i64;
let calls_delta = b_calls - a_calls;
let ms_delta = b_trace.total_trace_ms - a_trace.total_trace_ms;
let a_avg = if a_trace.total_calls > 0 {
a_trace.total_trace_ms / (a_trace.total_calls as f64)
} else {
0.0
};
let b_avg = if b_trace.total_calls > 0 {
b_trace.total_trace_ms / (b_trace.total_calls as f64)
} else {
0.0
};
let ms_per_call_delta = b_avg - a_avg;
let response = json!({
"a_ref": { "card_id": a_card_id, "sample_index": a_index },
"b_ref": { "card_id": b_card_id, "sample_index": b_index },
"a_trace": {
"total_calls": a_trace.total_calls,
"total_trace_ms": a_trace.total_trace_ms,
"completed": a_trace.completed,
},
"b_trace": {
"total_calls": b_trace.total_calls,
"total_trace_ms": b_trace.total_trace_ms,
"completed": b_trace.completed,
},
"delta": {
"calls_delta": calls_delta,
"ms_delta": ms_delta,
"ms_per_call_delta": ms_per_call_delta,
"completed_a": a_trace.completed,
"completed_b": b_trace.completed,
},
});
Ok(response.to_string())
}
/// Resolve a Card + sample index pair into the typed trace triple.
fn load_trace(
&self,
card_id: &str,
sample_index: Option<usize>,
) -> Result<(TraceRow, usize), String> {
let idx = sample_index.unwrap_or(0);
// Cheap existence check with a typed error; passes through unchanged
// on hit and rewrites None into "card '<id>' not found" (the read
// path silently returns [] for missing sidecars, which would surface
// as "index out of range" and hide the real cause).
match self.card_store.get(card_id)? {
Some(_) => (),
None => return Err(format!("card '{card_id}' not found")),
}
let samples = self
.card_store
.read_samples(card_id, card::SamplesQuery::default())?;
if idx >= samples.len() {
return Err(format!(
"card '{card_id}' sample index {idx} out of range (len={})",
samples.len()
));
}
let row = &samples[idx];
let trace = row
.get("trace")
.and_then(|t| t.as_object())
.ok_or_else(|| format!("card '{card_id}' sample {idx} has no trace"))?;
let total_calls = trace
.get("total_calls")
.and_then(|v| v.as_u64())
.ok_or_else(|| format!("card '{card_id}' sample {idx} trace missing total_calls"))?;
let total_trace_ms = trace
.get("total_trace_ms")
.and_then(|v| v.as_f64())
.unwrap_or(0.0);
let completed = trace
.get("completed")
.and_then(|v| v.as_bool())
.unwrap_or(false);
Ok((
TraceRow {
total_calls,
total_trace_ms,
completed,
},
idx,
))
}
}
/// Typed projection of the `.trace` object as consumed by the diff path.
struct TraceRow {
total_calls: u64,
total_trace_ms: f64,
completed: bool,
}
#[cfg(test)]
mod tests {
use super::*;
use algocline_engine::card::FileCardStore;
use std::io::Write;
use tempfile::TempDir;
/// Test-local params struct mirroring the field shape that
/// `trace_query` presents to the MCP layer. Kept out of the public
/// module so downstream crates don't grow a parallel type alongside
/// the MCP-crate schemars-derived params.
#[derive(Debug, Default)]
struct TestQueryParams {
pkg: Option<String>,
min_calls: Option<u64>,
max_calls: Option<u64>,
min_ms: Option<f64>,
max_ms: Option<f64>,
completed: Option<bool>,
offset: Option<usize>,
limit: Option<usize>,
}
fn write_card(root: &std::path::Path, pkg: &str, card_id: &str, samples: &[Json]) {
let pkg_dir = root.join(pkg);
std::fs::create_dir_all(&pkg_dir).unwrap();
let toml_path = pkg_dir.join(format!("{card_id}.toml"));
let body = format!(
"pkg = \"{pkg}\"\ncard_id = \"{card_id}\"\n[metadata]\ncreated_at = \"2026-07-09T00:00:00Z\"\n"
);
std::fs::write(&toml_path, body).unwrap();
let jsonl_path = pkg_dir.join(format!("{card_id}.samples.jsonl"));
let mut f = std::fs::File::create(&jsonl_path).unwrap();
for row in samples {
writeln!(f, "{}", row).unwrap();
}
}
fn traced_row(seq: u64, calls: u64, ms: f64, completed: bool) -> Json {
json!({
"case": { "name": format!("case-{seq}") },
"trace": {
"total_calls": calls,
"total_trace_ms": ms,
"completed": completed,
},
})
}
fn untraced_row(seq: u64) -> Json {
json!({
"case": { "name": format!("plain-{seq}") },
"response": { "text": "hello" },
})
}
/// Run trace_query against a synthetic Card store. Bypasses AppService
/// by calling FileCardStore directly and replicating the free-fn
/// filtering logic that trace_query performs on top of it.
fn run_query(store: &FileCardStore, params: TestQueryParams) -> Vec<Json> {
let summaries = store.list(params.pkg.as_deref()).unwrap();
let offset = params.offset.unwrap_or(0);
let mut matched = 0usize;
let mut out: Vec<Json> = Vec::new();
'cards: for summary in summaries {
let samples = store
.read_samples(&summary.card_id, card::SamplesQuery::default())
.unwrap();
for (idx, row) in samples.iter().enumerate() {
let trace = match row.get("trace").and_then(|t| t.as_object()) {
Some(t) => t,
None => continue,
};
let calls = trace.get("total_calls").and_then(|v| v.as_u64()).unwrap();
let ms = trace
.get("total_trace_ms")
.and_then(|v| v.as_f64())
.unwrap_or(0.0);
let completed = trace
.get("completed")
.and_then(|v| v.as_bool())
.unwrap_or(false);
if let Some(min) = params.min_calls {
if calls < min {
continue;
}
}
if let Some(max) = params.max_calls {
if calls > max {
continue;
}
}
if let Some(min) = params.min_ms {
if ms < min {
continue;
}
}
if let Some(max) = params.max_ms {
if ms > max {
continue;
}
}
if let Some(want) = params.completed {
if completed != want {
continue;
}
}
if matched < offset {
matched += 1;
continue;
}
if let Some(lim) = params.limit {
if out.len() >= lim {
break 'cards;
}
}
matched += 1;
out.push(json!({
"card_id": summary.card_id,
"pkg": summary.pkg,
"sample_index": idx,
"trace": {
"total_calls": calls,
"total_trace_ms": ms,
"completed": completed,
},
"case": row.get("case").cloned().unwrap_or(Json::Null),
}));
}
}
out
}
#[test]
fn query_skips_untraced_rows() {
let tmp = TempDir::new().unwrap();
write_card(
tmp.path(),
"pkg_a",
"card_a1",
&[
traced_row(1, 3, 150.0, true),
untraced_row(2),
traced_row(3, 5, 200.0, true),
],
);
let store = FileCardStore::new(tmp.path().to_path_buf());
let hits = run_query(&store, TestQueryParams::default());
assert_eq!(hits.len(), 2, "only traced rows should surface");
assert_eq!(hits[0]["sample_index"], 0);
assert_eq!(hits[1]["sample_index"], 2);
}
#[test]
fn query_filters_by_min_and_max_calls() {
let tmp = TempDir::new().unwrap();
write_card(
tmp.path(),
"pkg_a",
"card_a1",
&[
traced_row(1, 3, 100.0, true),
traced_row(2, 8, 200.0, true),
traced_row(3, 12, 400.0, true),
],
);
let store = FileCardStore::new(tmp.path().to_path_buf());
let hits = run_query(
&store,
TestQueryParams {
min_calls: Some(5),
max_calls: Some(10),
..Default::default()
},
);
assert_eq!(hits.len(), 1);
assert_eq!(hits[0]["trace"]["total_calls"], 8);
}
#[test]
fn query_filters_by_completed_flag() {
let tmp = TempDir::new().unwrap();
write_card(
tmp.path(),
"pkg_a",
"card_a1",
&[
traced_row(1, 3, 100.0, true),
traced_row(2, 3, 100.0, false),
],
);
let store = FileCardStore::new(tmp.path().to_path_buf());
let hits = run_query(
&store,
TestQueryParams {
completed: Some(false),
..Default::default()
},
);
assert_eq!(hits.len(), 1);
assert_eq!(hits[0]["trace"]["completed"], false);
}
#[test]
fn query_pkg_filter_prunes_early() {
let tmp = TempDir::new().unwrap();
write_card(
tmp.path(),
"pkg_a",
"card_a1",
&[traced_row(1, 3, 100.0, true)],
);
write_card(
tmp.path(),
"pkg_b",
"card_b1",
&[traced_row(1, 7, 200.0, true)],
);
let store = FileCardStore::new(tmp.path().to_path_buf());
let hits = run_query(
&store,
TestQueryParams {
pkg: Some("pkg_b".to_string()),
..Default::default()
},
);
assert_eq!(hits.len(), 1);
assert_eq!(hits[0]["pkg"], "pkg_b");
}
#[test]
fn query_offset_and_limit() {
let tmp = TempDir::new().unwrap();
write_card(
tmp.path(),
"pkg_a",
"card_a1",
&[
traced_row(1, 1, 10.0, true),
traced_row(2, 2, 20.0, true),
traced_row(3, 3, 30.0, true),
traced_row(4, 4, 40.0, true),
],
);
let store = FileCardStore::new(tmp.path().to_path_buf());
let hits = run_query(
&store,
TestQueryParams {
offset: Some(1),
limit: Some(2),
..Default::default()
},
);
assert_eq!(hits.len(), 2);
assert_eq!(hits[0]["trace"]["total_calls"], 2);
assert_eq!(hits[1]["trace"]["total_calls"], 3);
}
/// Delta arithmetic used by `trace_diff` is trivial but exercised
/// end-to-end via the `tests/e2e.rs` MCP round-trip so keep the unit
/// coverage focused on the query path (which does the heavy lifting).
#[test]
fn delta_math_matches_expected_signs() {
// The response shape sets `calls_delta = b - a`, so positive means
// b has more calls than a. Mirrors the impl to guard against a
// future sign flip.
let a_calls: i64 = 5;
let b_calls: i64 = 8;
assert_eq!(b_calls - a_calls, 3);
let a_ms: f64 = 500.0;
let b_ms: f64 = 1200.0;
assert!((b_ms - a_ms - 700.0).abs() < 1e-6);
let a_avg = a_ms / (a_calls as f64);
let b_avg = b_ms / (b_calls as f64);
assert!((b_avg - a_avg - (150.0 - 100.0)).abs() < 1e-6);
}
}