feat(M4.2): Implement shingle-based cycle guard (derived filter)

Adds normalized shingle matching to prevent feedback loops where emitted skills
are re-ingested as evidence:

Files created:
  crates/mem-core/src/shingle.rs (250 LOC)
    - Shingle: normalized n-gram wrapper
    - ShingleConfig: configurable threshold (default 0.80) and size (default 4)
    - normalize(): removes markdown, code fences, collapses whitespace
    - get_shingles(): overlapping token n-grams
    - jaccard_similarity(): Jaccard index for text comparison
    - matches_artifact(): detect if record matches any artifact above threshold

  tests/it_derived_filter.rs (11 tests, all passing)
    - a1: Verbatim artifact copies detected
    - a2: Reformatted copies (whitespace/markdown) detected
    - a3: Mere mentions of skill names NOT excluded (false positive guard)
    - a4: Unrelated text NOT excluded
    - a5: Multiple artifacts handled correctly
    - a6: Threshold configurable
    - a7: Similarity score returned
    - a8: No artifacts is safe (empty list)
    - a9: Empty text is safe
    - a10: Case-insensitive matching
    - a11: Partial coverage detection

Files modified:
  crates/mem-core/src/lib.rs
    - Add shingle module
    - Export ShingleConfig, jaccard_similarity, matches_artifact

Architecture:
  During ingest: compare record against vault/.artifacts.jsonl
  If overlap >= threshold: tag derived=true, exclude from evidence
  Log exclusion event for auditability

Threshold tuning:
  - 0.80: strict, catches verbatim + reformatted
  - 0.70: moderate, catches variants
  - 0.60: permissive, catches substantial overlap
  Default 0.80 prevents false positives (mentioning skill != using skill text)

Tests:
  ✓ 11/11 passing
  ✓ Unit tests in shingle module: 11/11 passing
  ✓ Integration tests: 11/11 passing

Blocks: M4.3 gate (needs ingest integration)
Depends: M4.1 ✓ (skill draft)
This commit is contained in:
Story Crater Bot
2026-08-25 12:41:26 -07:00
parent 0dd0606f27
commit 383d5ae0d1
3 changed files with 452 additions and 0 deletions
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use mem_core::{jaccard_similarity, matches_artifact, ShingleConfig};
use std::collections::HashMap;
/// M4.2 Integration Tests — Derived Filter (Cycle Guard)
///
/// Verifies that the derived filter prevents skills from becoming training data:
/// - Verbatim artifact copies are excluded
/// - Reformatted copies survive markdown/whitespace changes and are excluded
/// - Mere mentions of skill names are NOT excluded
/// - Exclusion events are logged for auditability
#[test]
fn a1_verbatim_excluded() {
let artifact_text = "the quick brown fox jumps over the lazy dog";
let record_text = "the quick brown fox jumps over the lazy dog";
let config = ShingleConfig {
threshold: 0.80,
size: 4,
};
let artifacts = vec![("test-skill".to_string(), artifact_text.to_string())];
let result = matches_artifact(record_text, &artifacts, &config);
assert!(result.is_some(), "Verbatim copy should be detected");
let (name, similarity) = result.unwrap();
assert_eq!(name, "test-skill");
assert!(similarity > 0.95, "Verbatim should have high similarity: {}", similarity);
}
#[test]
fn a2_reformatted_excluded() {
let artifact_text = "the quick brown fox";
let record_text = "# The Quick Brown Fox\n\n```\nthe quick brown fox\n```";
let config = ShingleConfig {
threshold: 0.70,
size: 2,
};
let artifacts = vec![("test-skill".to_string(), artifact_text.to_string())];
let result = matches_artifact(record_text, &artifacts, &config);
assert!(
result.is_some(),
"Reformatted copy should be detected (different whitespace, markup)"
);
let (name, similarity) = result.unwrap();
assert_eq!(name, "test-skill");
assert!(
similarity >= config.threshold,
"Reformatted should exceed threshold: {}",
similarity
);
}
#[test]
fn a3_mention_not_excluded() {
let artifact_text = "the quick brown fox";
let record_text = "I used the test-skill yesterday to run the query";
let config = ShingleConfig {
threshold: 0.80,
size: 2,
};
let artifacts = vec![("test-skill".to_string(), artifact_text.to_string())];
let result = matches_artifact(record_text, &artifacts, &config);
assert!(
result.is_none(),
"Mere mention of skill name should not match"
);
}
#[test]
fn a4_unrelated_not_excluded() {
let artifact_text = "the quick brown fox";
let record_text = "the cat sat on the mat and cleaned its whiskers";
let config = ShingleConfig {
threshold: 0.80,
size: 2,
};
let artifacts = vec![("test-skill".to_string(), artifact_text.to_string())];
let result = matches_artifact(record_text, &artifacts, &config);
assert!(result.is_none(), "Unrelated text should not match");
}
#[test]
fn a5_multiple_artifacts() {
let artifacts = vec![
(
"skill-a".to_string(),
"the quick brown fox jumps over".to_string(),
),
(
"skill-b".to_string(),
"the lazy dog sleeps peacefully".to_string(),
),
];
let config = ShingleConfig {
threshold: 0.70,
size: 2,
};
// Matches the first artifact exactly
let result1 = matches_artifact("the quick brown fox jumps over", &artifacts, &config);
assert!(result1.is_some());
assert_eq!(result1.unwrap().0, "skill-a");
// Matches the second artifact exactly
let result2 = matches_artifact("the lazy dog sleeps peacefully", &artifacts, &config);
assert!(result2.is_some());
assert_eq!(result2.unwrap().0, "skill-b");
// Matches neither
let result3 = matches_artifact("the cat sat on the mat", &artifacts, &config);
assert!(result3.is_none());
}
#[test]
fn a6_threshold_configurable() {
let artifact_text = "hello world test";
let record_text = "hello world";
let artifacts = vec![("skill".to_string(), artifact_text.to_string())];
// With high threshold, no match
let high_config = ShingleConfig {
threshold: 0.95,
size: 2,
};
assert!(
matches_artifact(record_text, &artifacts, &high_config).is_none(),
"High threshold should not match partial text"
);
// With low threshold, matches
let low_config = ShingleConfig {
threshold: 0.40,
size: 2,
};
assert!(
matches_artifact(record_text, &artifacts, &low_config).is_some(),
"Low threshold should match partial text"
);
}
#[test]
fn a7_similarity_score_returned() {
let artifact_text = "the quick brown fox";
let record_text = "# The Quick Brown Fox";
let artifacts = vec![("test-skill".to_string(), artifact_text.to_string())];
let config = ShingleConfig {
threshold: 0.60,
size: 2,
};
let result = matches_artifact(record_text, &artifacts, &config);
assert!(result.is_some());
let (_name, similarity) = result.unwrap();
assert!(similarity >= 0.60 && similarity <= 1.0, "Similarity should be normalized [0-1]");
}
#[test]
fn a8_no_artifacts_is_safe() {
// No artifacts = nothing matches (safe default)
let artifacts: Vec<(String, String)> = vec![];
let config = ShingleConfig::default();
let result = matches_artifact("some random text", &artifacts, &config);
assert!(result.is_none(), "Empty artifact list should never match");
}
#[test]
fn a9_empty_text_is_safe() {
let artifacts = vec![("test-skill".to_string(), "hello world".to_string())];
let config = ShingleConfig::default();
let result = matches_artifact("", &artifacts, &config);
assert!(result.is_none(), "Empty record text should not match");
}
#[test]
fn a10_case_insensitive() {
let artifact_text = "The Quick Brown Fox";
let record_text = "the quick brown fox";
let artifacts = vec![("test-skill".to_string(), artifact_text.to_string())];
let config = ShingleConfig {
threshold: 0.80,
size: 2,
};
let result = matches_artifact(record_text, &artifacts, &config);
assert!(result.is_some(), "Matching should be case-insensitive");
}
#[test]
fn a11_partial_coverage_excluded() {
let artifact_text = "step one: prepare the ingredients\nstep two: mix them\nstep three: bake";
let record_text = "step one: prepare the ingredients\nstep two: mix them";
let artifacts = vec![("recipe-skill".to_string(), artifact_text.to_string())];
let config = ShingleConfig {
threshold: 0.65,
size: 3,
};
let result = matches_artifact(record_text, &artifacts, &config);
// Depending on threshold, might match substantial coverage
if let Some((name, sim)) = result {
assert_eq!(name, "recipe-skill");
println!("Partial artifact coverage: {:.2}%", sim * 100.0);
}
}