Validate audio stream timelines and add genuine Google transcript diagnostics
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checksum = "32497e9a4c7b38532efcdebeef879707aa9f794296a4f0244f6f69e9bc8574bd"
|
||||
dependencies = [
|
||||
"fastrand",
|
||||
"getrandom",
|
||||
"once_cell",
|
||||
"rustix",
|
||||
"windows-sys",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "typenum"
|
||||
version = "1.20.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "b6f5e870be6c3b371b77fe0ee0bafb859fa4964b4404c27de1d380043c4dda20"
|
||||
|
||||
[[package]]
|
||||
name = "unicode-ident"
|
||||
version = "1.0.27"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "a2c754d6c33795a1c324727428e5a7dedb5b06195f9890bdbcba760d3e246563"
|
||||
|
||||
[[package]]
|
||||
name = "version_check"
|
||||
version = "0.9.5"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "0b928f33d975fc6ad9f86c8f283853ad26bdd5b10b7f1542aa2fa15e2289105a"
|
||||
|
||||
[[package]]
|
||||
name = "windows-link"
|
||||
version = "0.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "f0805222e57f7521d6a62e36fa9163bc891acd422f971defe97d64e70d0a4fe5"
|
||||
|
||||
[[package]]
|
||||
name = "windows-sys"
|
||||
version = "0.61.2"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "ae137229bcbd6cdf0f7b80a31df61766145077ddf49416a728b02cb3921ff3fc"
|
||||
dependencies = [
|
||||
"windows-link",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "zlib-rs"
|
||||
version = "0.6.8"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "b268e58e7c693d7c271f93ffc4ba3b380412554231c85bf61ca7af91042a4112"
|
||||
|
||||
[[package]]
|
||||
name = "zmij"
|
||||
version = "1.0.23"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "29666d0abbfad1e3dc4dcf6144730dd3a3ab225bbbdac83319345b1b44ccfc1b"
|
||||
|
||||
[[package]]
|
||||
name = "zune-core"
|
||||
version = "0.5.3"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "d56377fd46368984a170bc5aac5567e52ca5da874caa60bea39fcbca78fb658b"
|
||||
|
||||
[[package]]
|
||||
name = "zune-jpeg"
|
||||
version = "0.5.15"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "27bc9d5b815bc103f142aa054f561d9187d191692ec7c2d1e2b4737f8dbd7296"
|
||||
dependencies = [
|
||||
"zune-core",
|
||||
]
|
||||
@@ -0,0 +1,12 @@
|
||||
[package]
|
||||
name = "searchi-speech-rank"
|
||||
version = "0.1.0"
|
||||
edition = "2021"
|
||||
publish = false
|
||||
[workspace]
|
||||
[dependencies]
|
||||
anyhow = "1"
|
||||
serde_json = "1"
|
||||
sha2 = "0.10"
|
||||
searchi-semantic = { path = "../../crates/searchi-semantic" }
|
||||
tempfile = "3"
|
||||
@@ -0,0 +1,48 @@
|
||||
# Genuine Google transcript ranking diagnostic
|
||||
|
||||
This internal experiment ranks **actual recognized ASR text** with the shared
|
||||
Google EmbeddingGemma 2 adapter. It is separate from production ANN/hybrid search
|
||||
and does not add speech recognition to the application.
|
||||
|
||||
All valid segments from the NASA video and four music/sound competitors enter
|
||||
the same candidate pool. Original source filenames are the only document titles;
|
||||
recognized text is unchanged. Frozen relevance intervals never select, rewrite,
|
||||
filter or rank candidates. General Google search queries use the normal 512-token
|
||||
query role; document encoding uses 2048 tokens. The document process is dropped
|
||||
before opening the query process. Both use forced CPU and one thread.
|
||||
|
||||
Long segments use the actual Google tokenizer's source-preserving windows.
|
||||
Every vector's original segment and UTF-8 byte range are recorded. Exact cosine
|
||||
scores are computed from genuine Google vectors and aggregated by maximum over
|
||||
token windows belonging to the same original ASR segment. All vector and segment
|
||||
ranks are retained; at most the first 100 segment hits per query are exported for
|
||||
the existing scorer. Ties use stable source order. No confidence threshold or
|
||||
oracle matching is applied.
|
||||
|
||||
```powershell
|
||||
cargo test --manifest-path tools/speech-rank/Cargo.toml --locked
|
||||
cargo build --release --manifest-path tools/speech-rank/Cargo.toml --locked
|
||||
$env:SEARCHI_FORCE_CPU = '1'
|
||||
tools/speech-rank/target/release/searchi-speech-rank.exe .searchi/speech/base-results.json fixtures/media/fixture.json C:/path/to/verified-models C:/path/to/searchi-gemma-worker.exe .searchi/speech/base-google-ranks.json
|
||||
python tools/speech-eval/score.py --rankings .searchi/speech/base-google-ranks.json --output .searchi/speech/base-google-score.json
|
||||
```
|
||||
|
||||
Run only after the shared inference CPU slot is released. The output directory
|
||||
must exist, and the output filename must be new. `create_new` reserves evidence
|
||||
before costly work; atomic JSON checkpoints retain incomplete phases. Inputs
|
||||
are bounded, source/model hashes verified, and recognized segment timestamps
|
||||
reconstructed from actual Whisper JSON to reject stale normalized text. Reports
|
||||
from truncated decoding or an older policy are rejected. The artifact records
|
||||
the actual ASR bytes, worker/runner/model hashes and process/timing information.
|
||||
|
||||
Invalid ASR windows are explicitly marked ineligible with reasons, never quietly
|
||||
discarded. A report with any excluded window has `quality_score_eligible: false`:
|
||||
do not publish a quality score from a reduced competitor pool. Valid hallucinated
|
||||
music or sound text remains eligible and must compete. `complete` reports prove
|
||||
the diagnostic finished, not speech accuracy.
|
||||
|
||||
Exported `start_ms`/`end_ms` refer to the full original media timeline. They are
|
||||
ASR segment approximations, potentially affected by 30-second recognition
|
||||
boundaries; they are **not word alignment**. A token window retains its containing
|
||||
segment's same interval. The existing eight frozen NASA queries constitute a tiny
|
||||
diagnostic, not held-out calibration, general media quality or production proof.
|
||||
@@ -0,0 +1,440 @@
|
||||
//! Genuine Google retrieval over recognized ASR text; labels never select segments.
|
||||
use anyhow::{ensure, Context, Result};
|
||||
use searchi_semantic::{Device, GemmaEmbedder, GEMMA_DIMENSIONS};
|
||||
use serde_json::{json, Value};
|
||||
use sha2::{Digest, Sha256};
|
||||
use std::{
|
||||
collections::{BTreeMap, BTreeSet},
|
||||
fs,
|
||||
io::{Read, Write},
|
||||
path::{Path, PathBuf},
|
||||
time::Instant,
|
||||
};
|
||||
|
||||
const FIXTURE_SHA: &str = "b4e465a0eb9582b826eebd2a20797e1680e4907e336d02d0ef2194e2ba0af393";
|
||||
const ASSETS: [&str; 5] = ["clip04", "music01", "music02", "sound01", "sound02"];
|
||||
const POLICY: &str = "primary-audio-range-v3;aresample16000-before-atrim;samplecoverage-1ms;nonoverlapping30s;independent-process-per-window;auto-language;segment-times";
|
||||
|
||||
fn digest(path: &Path) -> Result<String> {
|
||||
let mut file = fs::File::open(path)?;
|
||||
let mut hash = Sha256::new();
|
||||
let mut buffer = [0; 65536];
|
||||
loop {
|
||||
let n = file.read(&mut buffer)?;
|
||||
if n == 0 {
|
||||
break;
|
||||
}
|
||||
hash.update(&buffer[..n]);
|
||||
}
|
||||
Ok(format!("{:x}", hash.finalize()))
|
||||
}
|
||||
fn number(value: &Value) -> Result<u64> {
|
||||
value
|
||||
.as_u64()
|
||||
.context("Expected unsigned integer milliseconds")
|
||||
}
|
||||
fn checkpoint(path: &Path, report: &Value) -> Result<()> {
|
||||
let parent = path
|
||||
.parent()
|
||||
.filter(|p| !p.as_os_str().is_empty())
|
||||
.unwrap_or(Path::new("."));
|
||||
let mut temporary = tempfile::NamedTempFile::new_in(parent)?;
|
||||
temporary.write_all(&serde_json::to_vec_pretty(report)?)?;
|
||||
temporary.as_file().sync_all()?;
|
||||
temporary.persist(path)?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Reconstruct absolute segment coordinates from actual whisper output, never labels.
|
||||
fn parsed_segments(raw: &Value, offset: u64, duration: u64) -> Result<Vec<Value>> {
|
||||
let rows = raw["transcription"]
|
||||
.as_array()
|
||||
.context("Missing actual transcription")?;
|
||||
ensure!(rows.len() <= 1000, "Oversized transcription");
|
||||
let mut segments = Vec::new();
|
||||
let mut previous = 0;
|
||||
for row in rows {
|
||||
let start = number(&row["offsets"]["from"])?;
|
||||
let end = number(&row["offsets"]["to"])?;
|
||||
let text = row["text"].as_str().context("Invalid recognized text")?;
|
||||
ensure!(
|
||||
start >= previous && start <= end && end <= duration && text.len() <= 4096,
|
||||
"Invalid actual ASR segment"
|
||||
);
|
||||
previous = start;
|
||||
if !text.trim().is_empty() {
|
||||
segments.push(json!({"start_ms":offset.checked_add(start).context("Timestamp overflow")?,"end_ms":offset.checked_add(end).context("Timestamp overflow")?,"text":text}));
|
||||
}
|
||||
}
|
||||
Ok(segments)
|
||||
}
|
||||
|
||||
fn eligible(asr: &Value, fixture: &Value) -> Result<(Vec<Value>, Vec<Value>)> {
|
||||
ensure!(
|
||||
asr["version"] == 1 && asr["upstream_commit"] == "d1be6fde11ac6e0407606b4e42fe72d34add8037",
|
||||
"Unknown ASR implementation"
|
||||
);
|
||||
ensure!(
|
||||
matches!(
|
||||
(asr["candidate"].as_str(), asr["model_sha256"].as_str()),
|
||||
(
|
||||
Some("base"),
|
||||
Some("60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe")
|
||||
) | (
|
||||
Some("small"),
|
||||
Some("1be3a9b2063867b937e64e2ec7483364a79917e157fa98c5d94b5c1fffea987b")
|
||||
)
|
||||
),
|
||||
"Unknown ASR model"
|
||||
);
|
||||
ensure!(
|
||||
asr["complete"] == true
|
||||
&& asr["fixture_sha256"] == FIXTURE_SHA
|
||||
&& asr["policy"] == POLICY
|
||||
&& asr["backend"] == "forced CPU"
|
||||
&& asr["threads"] == 1,
|
||||
"Incomplete, stale, or unrecognized ASR report"
|
||||
);
|
||||
for field in [
|
||||
"model_sha256",
|
||||
"worker_sha256",
|
||||
"harness_sha256",
|
||||
"ffmpeg_sha256",
|
||||
"ffprobe_sha256",
|
||||
] {
|
||||
ensure!(asr[field].as_str().is_some_and(|hash| hash.len() == 64 && hash.bytes().all(|b| b.is_ascii_hexdigit())), "Missing ASR provenance");
|
||||
}
|
||||
let rows = asr["rows"].as_array().context("Missing ASR rows")?;
|
||||
ensure!(rows.len() == 5, "All five competing assets required");
|
||||
let mut seen = BTreeSet::new();
|
||||
let mut segments = Vec::new();
|
||||
let mut excluded = Vec::new();
|
||||
for row in rows {
|
||||
let asset_id = row["asset"].as_str().context("Missing asset ID")?;
|
||||
ensure!(
|
||||
ASSETS.contains(&asset_id) && seen.insert(asset_id),
|
||||
"Unknown/duplicate asset"
|
||||
);
|
||||
let asset = fixture["assets"]
|
||||
.as_array()
|
||||
.context("Missing fixture assets")?
|
||||
.iter()
|
||||
.find(|asset| asset["id"] == asset_id)
|
||||
.context("Unknown source")?;
|
||||
ensure!(
|
||||
row["source_sha256"] == asset["sha256"],
|
||||
"Stale source provenance"
|
||||
);
|
||||
let start = number(&row["audio_start_ms"])?;
|
||||
let end = number(&row["audio_end_ms"])?;
|
||||
ensure!(
|
||||
start < end && end - start <= 600000 && number(&row["duration_ms"])? == end - start,
|
||||
"Unbounded audio range"
|
||||
);
|
||||
let windows = row["windows"].as_array().context("Missing windows")?;
|
||||
ensure!(windows.len() <= 20, "Oversized window list");
|
||||
let mut next = start;
|
||||
for (window_index, window) in windows.iter().enumerate() {
|
||||
let offset = number(&window["offset_ms"])?;
|
||||
let duration = number(&window["duration_ms"])?;
|
||||
ensure!(
|
||||
offset == next && duration == (end - offset).min(30000) && duration > 0,
|
||||
"Missing, overlapping or truncated source windows"
|
||||
);
|
||||
next = offset.checked_add(duration).context("Window overflow")?;
|
||||
if let Some(error) = window.get("validation_error") {
|
||||
ensure!(
|
||||
error.as_str().is_some_and(|error| !error.is_empty()),
|
||||
"Invalid exclusion reason"
|
||||
);
|
||||
if window["error_stage"] == "decode_coverage" {
|
||||
let frames = number(&window["decoded_frames"])?;
|
||||
ensure!(
|
||||
window["asr_not_run"] == true
|
||||
&& (frames > duration * 16
|
||||
|| frames.saturating_add(16) < duration * 16),
|
||||
"False decode exclusion"
|
||||
);
|
||||
} else {
|
||||
ensure!(
|
||||
parsed_segments(&window["actual_whisper_json"], offset, duration).is_err(),
|
||||
"Valid recognized text must not be excluded"
|
||||
);
|
||||
}
|
||||
excluded.push(json!({"asset":asset_id,"window_index":window_index,"offset_ms":offset,"duration_ms":duration,"eligible":false,"reason":error}));
|
||||
continue;
|
||||
}
|
||||
let frames = number(&window["decoded_frames"])?;
|
||||
ensure!(
|
||||
frames <= duration * 16 && frames + 16 >= duration * 16,
|
||||
"Stale/truncated decoded audio coverage"
|
||||
);
|
||||
let actual = parsed_segments(&window["actual_whisper_json"], offset, duration)?;
|
||||
ensure!(
|
||||
window["segments"] == json!(actual),
|
||||
"Normalized ASR segments differ from actual output"
|
||||
);
|
||||
let title = Path::new(asset["path"].as_str().context("Missing source filename")?)
|
||||
.file_name()
|
||||
.context("Missing filename")?
|
||||
.to_string_lossy();
|
||||
for (segment_index, segment) in actual.into_iter().enumerate() {
|
||||
segments.push(json!({"asset":asset_id,"window_index":window_index,"segment_index":segment_index,"source_window_offset_ms":offset,"source_window_duration_ms":duration,"start_ms":segment["start_ms"],"end_ms":segment["end_ms"],"text":segment["text"],"title":title}));
|
||||
ensure!(segments.len() <= 5000, "Too many recognized segments");
|
||||
}
|
||||
}
|
||||
ensure!(next == end, "Incomplete source-window coverage");
|
||||
}
|
||||
ensure!(
|
||||
asr["quality_failed"] == !excluded.is_empty(),
|
||||
"ASR validation status inconsistent"
|
||||
);
|
||||
ensure!(
|
||||
asr["validation_failures"]
|
||||
.as_array()
|
||||
.context("Missing validation failures")?
|
||||
.len()
|
||||
== excluded.len(),
|
||||
"ASR validation failure count inconsistent"
|
||||
);
|
||||
Ok((segments, excluded))
|
||||
}
|
||||
|
||||
fn cosine(a: &[f32], b: &[f32]) -> Result<f64> {
|
||||
ensure!(
|
||||
a.len() == GEMMA_DIMENSIONS && b.len() == GEMMA_DIMENSIONS,
|
||||
"Wrong vector dimensions"
|
||||
);
|
||||
let (mut dot, mut aa, mut bb) = (0.0f64, 0.0f64, 0.0f64);
|
||||
for (&a, &b) in a.iter().zip(b) {
|
||||
ensure!(a.is_finite() && b.is_finite(), "Nonfinite vector");
|
||||
let (a, b) = (f64::from(a), f64::from(b));
|
||||
dot += a * b;
|
||||
aa += a * a;
|
||||
bb += b * b;
|
||||
}
|
||||
ensure!(aa > 0.0 && bb > 0.0, "Zero vector");
|
||||
Ok(dot / (aa * bb).sqrt())
|
||||
}
|
||||
|
||||
fn main() -> Result<()> {
|
||||
let args: Vec<_> = std::env::args_os().skip(1).collect();
|
||||
ensure!(
|
||||
args.len() == 5,
|
||||
"Supply ASR_REPORT MEDIA_FIXTURE MODEL_DIR GOOGLE_WORKER NEW_OUTPUT_JSON"
|
||||
);
|
||||
ensure!(
|
||||
std::env::var("SEARCHI_FORCE_CPU").as_deref() == Ok("1"),
|
||||
"CPU only"
|
||||
);
|
||||
let asr_path = PathBuf::from(&args[0]);
|
||||
let fixture_path = PathBuf::from(&args[1]);
|
||||
let models = PathBuf::from(&args[2]);
|
||||
let worker = PathBuf::from(&args[3]);
|
||||
let output = PathBuf::from(&args[4]);
|
||||
fs::OpenOptions::new()
|
||||
.write(true)
|
||||
.create_new(true)
|
||||
.open(&output)
|
||||
.context("Cannot reserve new output")?;
|
||||
let mut report =
|
||||
json!({"complete":false,"phase":"verification","rankings":{},"raw_queries":[]});
|
||||
checkpoint(&output, &report)?;
|
||||
ensure!(
|
||||
fs::metadata(&asr_path)?.len() <= 16 * 1024 * 1024,
|
||||
"Oversized ASR report"
|
||||
);
|
||||
let fixture_bytes = fs::read(&fixture_path)?;
|
||||
ensure!(
|
||||
format!("{:x}", Sha256::digest(&fixture_bytes)) == FIXTURE_SHA,
|
||||
"Frozen media fixture changed"
|
||||
);
|
||||
let fixture: Value = serde_json::from_slice(&fixture_bytes)?;
|
||||
let asr_bytes = fs::read(&asr_path)?;
|
||||
let asr_hash = format!("{:x}", Sha256::digest(&asr_bytes));
|
||||
let asr: Value = serde_json::from_slice(&asr_bytes)?;
|
||||
let (segments, excluded) = eligible(&asr, &fixture)?;
|
||||
ensure!(!segments.is_empty(), "No eligible recognized text");
|
||||
for asset in fixture["assets"]
|
||||
.as_array()
|
||||
.context("Missing assets")?
|
||||
.iter()
|
||||
.filter(|asset| ASSETS.contains(&asset["id"].as_str().unwrap_or_default()))
|
||||
{
|
||||
let source = fixture_path
|
||||
.parent()
|
||||
.context("Missing fixture parent")?
|
||||
.join(asset["path"].as_str().context("Missing asset path")?);
|
||||
ensure!(
|
||||
fs::metadata(&source)?.len() == number(&asset["bytes"])?
|
||||
&& digest(&source)? == asset["sha256"],
|
||||
"Frozen media source changed"
|
||||
);
|
||||
}
|
||||
let manifest_path =
|
||||
PathBuf::from(env!("CARGO_MANIFEST_DIR")).join("../embeddinggemma2/model-manifest.json");
|
||||
let manifest: Value = serde_json::from_slice(&fs::read(&manifest_path)?)?;
|
||||
for asset in manifest["files"]
|
||||
.as_array()
|
||||
.context("Missing model files")?
|
||||
{
|
||||
let path = models.join(asset["path"].as_str().context("Missing model path")?);
|
||||
ensure!(
|
||||
fs::metadata(&path)?.len() == number(&asset["bytes"])?
|
||||
&& digest(&path)? == asset["sha256"],
|
||||
"Google model bytes changed"
|
||||
);
|
||||
}
|
||||
report["fixture_sha256"] = json!(FIXTURE_SHA);
|
||||
report["asr_report_sha256"] = json!(asr_hash);
|
||||
report["asr_provenance"] = asr.clone();
|
||||
report["google_worker_sha256"] = json!(digest(&worker)?);
|
||||
report["runner_sha256"] = json!(digest(&std::env::current_exe()?)?);
|
||||
report["google_model_manifest_sha256"] = json!(digest(&manifest_path)?);
|
||||
report["google_model"] = manifest;
|
||||
report["segments"] = json!(segments);
|
||||
report["excluded_windows"] = json!(excluded);
|
||||
report["excluded_window_count"] = json!(excluded.len());
|
||||
report["quality_score_eligible"] = json!(excluded.is_empty());
|
||||
report["scope"] = json!("Diagnostic ASR segment text retrieval; all five sources compete, original filename titles, exact cosine, max across token windows, no labels in ranking. Source millisecond segment approximation, not word alignment or production integration.");
|
||||
report["phase"] = json!("document_encoding");
|
||||
checkpoint(&output, &report)?;
|
||||
let start = Instant::now();
|
||||
let mut model = GemmaEmbedder::load_with_device(&models, &worker, 1, Device::Cpu)?;
|
||||
report["document_worker_info"] = json!(model.info);
|
||||
let mut vectors = Vec::new();
|
||||
let mut mappings = Vec::new();
|
||||
for (segment_id, segment) in segments.iter().enumerate() {
|
||||
let text = segment["text"].as_str().context("Missing text")?;
|
||||
let title = segment["title"].as_str().context("Missing title")?;
|
||||
for window in model.split_windows(text, title)? {
|
||||
let mut encoded = model.embed_documents(&[&window.text], title)?;
|
||||
ensure!(encoded.len() == 1, "Missing document embedding");
|
||||
vectors.push(encoded.remove(0));
|
||||
mappings.push(json!({"segment_id":segment_id,"text_start_byte":window.start_byte,"text_end_byte":window.end_byte}));
|
||||
ensure!(vectors.len() <= 10000, "Too many token windows");
|
||||
}
|
||||
}
|
||||
report["document_encoding_ms"] = json!(start.elapsed().as_secs_f64() * 1000.0);
|
||||
report["vector_source_mapping"] = json!(mappings);
|
||||
drop(model);
|
||||
let start = Instant::now();
|
||||
let mut query_model = GemmaEmbedder::load_query_with_device(&models, &worker, 1, Device::Cpu)?;
|
||||
report["query_worker_info"] = json!(query_model.info);
|
||||
report["query_startup_ms"] = json!(start.elapsed().as_secs_f64() * 1000.0);
|
||||
let queries: Vec<_> = fixture["queries"]
|
||||
.as_array()
|
||||
.context("Missing fixture queries")?
|
||||
.iter()
|
||||
.filter(|query| query["category"] == "video-speech")
|
||||
.collect();
|
||||
ensure!(
|
||||
queries.len() == 8,
|
||||
"Exactly eight frozen speech queries required"
|
||||
);
|
||||
report["phase"] = json!("query_ranking");
|
||||
checkpoint(&output, &report)?;
|
||||
for query in queries {
|
||||
let start = Instant::now();
|
||||
let vector =
|
||||
query_model.embed_query(query["text"].as_str().context("Missing query text")?)?;
|
||||
let mut raw = Vec::new();
|
||||
let mut best: BTreeMap<usize, f64> = BTreeMap::new();
|
||||
for (id, document) in vectors.iter().enumerate() {
|
||||
let score = cosine(&vector, document)?;
|
||||
let segment_id = number(&mappings[id]["segment_id"])? as usize;
|
||||
best.entry(segment_id)
|
||||
.and_modify(|old| *old = old.max(score))
|
||||
.or_insert(score);
|
||||
raw.push(json!({"vector_id":id,"segment_id":segment_id,"cosine":score}));
|
||||
}
|
||||
raw.sort_by(|a, b| {
|
||||
b["cosine"]
|
||||
.as_f64()
|
||||
.unwrap()
|
||||
.total_cmp(&a["cosine"].as_f64().unwrap())
|
||||
.then_with(|| a["vector_id"].as_u64().cmp(&b["vector_id"].as_u64()))
|
||||
});
|
||||
let mut ranks: Vec<_> = best.into_iter().collect();
|
||||
ranks.sort_by(|a, b| b.1.total_cmp(&a.1).then(a.0.cmp(&b.0)));
|
||||
let all: Vec<_> = ranks.into_iter().map(|(id,score)| json!({"asset":segments[id]["asset"],"start_ms":segments[id]["start_ms"],"end_ms":segments[id]["end_ms"],"segment_id":id,"cosine":score})).collect();
|
||||
report["rankings"][query["id"].as_str().context("Missing query ID")?] =
|
||||
json!(all.iter().take(100).collect::<Vec<_>>());
|
||||
report["raw_queries"].as_array_mut().context("Missing output queries")?.push(json!({"id":query["id"],"text":query["text"],"elapsed_ms":start.elapsed().as_secs_f64()*1000.0,"all_segment_ranks":all,"all_vector_ranks":raw}));
|
||||
checkpoint(&output, &report)?;
|
||||
}
|
||||
ensure!(
|
||||
report["asr_report_sha256"] == digest(&asr_path)?,
|
||||
"ASR report changed during ranking"
|
||||
);
|
||||
ensure!(
|
||||
digest(&fixture_path)? == FIXTURE_SHA
|
||||
&& report["google_worker_sha256"] == digest(&worker)?
|
||||
&& report["google_model_manifest_sha256"] == digest(&manifest_path)?,
|
||||
"Fixture or runtime provenance changed during ranking"
|
||||
);
|
||||
report["complete"] = json!(true);
|
||||
report["phase"] = json!("complete");
|
||||
checkpoint(&output, &report)?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
#[test]
|
||||
fn timestamps_are_absolute_milliseconds_and_invalid_tail_rejected() {
|
||||
let raw =
|
||||
json!({"transcription":[{"offsets":{"from":100,"to":2000},"text":" untouched text "}]});
|
||||
assert_eq!(
|
||||
parsed_segments(&raw, 30000, 3000).unwrap(),
|
||||
vec![json!({"start_ms":30100,"end_ms":32000,"text":" untouched text "})]
|
||||
);
|
||||
assert!(parsed_segments(&raw, 30000, 1000).is_err());
|
||||
assert!(parsed_segments(&raw, u64::MAX, 3000).is_err());
|
||||
assert!(parsed_segments(
|
||||
&json!({"transcription":[{"offsets":{"from":1.0,"to":2},"text":"x"}]}),
|
||||
0,
|
||||
30
|
||||
)
|
||||
.is_err());
|
||||
}
|
||||
#[test]
|
||||
fn incomplete_and_stale_asr_are_rejected_before_inference() {
|
||||
assert!(eligible(&json!({"complete":false}), &json!({})).is_err());
|
||||
assert!(eligible(
|
||||
&json!({"complete":true,"fixture_sha256":"stale"}),
|
||||
&json!({})
|
||||
)
|
||||
.is_err());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn source_identity_coverage_and_recognized_text_cannot_be_forged() {
|
||||
let hash = "a".repeat(64);
|
||||
let assets: Vec<_> = ASSETS
|
||||
.iter()
|
||||
.map(|id| json!({"id":id,"sha256":hash,"path":format!("{id}.mp3")}))
|
||||
.collect();
|
||||
let raw = json!({"transcription":[{"offsets":{"from":10,"to":900},"text":"actual unit-test text"}]});
|
||||
let rows:Vec<_>=ASSETS.iter().map(|id|json!({"asset":id,"source_sha256":hash,"audio_start_ms":1000,"audio_end_ms":2000,"duration_ms":1000,"windows":[{"offset_ms":1000,"duration_ms":1000,"decoded_frames":16000,"actual_whisper_json":raw,"segments":parsed_segments(&raw,1000,1000).unwrap()}]})).collect();
|
||||
let report = json!({"version":1,"complete":true,"fixture_sha256":FIXTURE_SHA,"policy":POLICY,"backend":"forced CPU","threads":1,"upstream_commit":"d1be6fde11ac6e0407606b4e42fe72d34add8037","candidate":"base","model_sha256":"60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe","worker_sha256":hash,"harness_sha256":hash,"ffmpeg_sha256":hash,"ffprobe_sha256":hash,"quality_failed":false,"validation_failures":[],"rows":rows});
|
||||
let fixture = json!({"assets":assets});
|
||||
assert_eq!(eligible(&report, &fixture).unwrap().0.len(), 5);
|
||||
let mut changed = report.clone();
|
||||
changed["rows"][0]["asset"] = json!("unknown");
|
||||
assert!(eligible(&changed, &fixture).is_err());
|
||||
let mut changed = report.clone();
|
||||
changed["rows"][0]["source_sha256"] = json!("stale");
|
||||
assert!(eligible(&changed, &fixture).is_err());
|
||||
let mut changed = report.clone();
|
||||
changed["rows"][0]["windows"][0]["segments"][0]["start_ms"] = json!(10);
|
||||
assert!(eligible(&changed, &fixture).is_err());
|
||||
let mut changed = report.clone();
|
||||
changed["rows"][0]["windows"][0]["decoded_frames"] = json!(8000);
|
||||
assert!(eligible(&changed, &fixture).is_err());
|
||||
let mut changed = report;
|
||||
changed["rows"][0]["windows"][0]["validation_error"] = json!("hide a valid competitor");
|
||||
assert!(eligible(&changed, &fixture).is_err());
|
||||
}
|
||||
}
|
||||
Reference in new issue
Block a user