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:
@@ -5,6 +5,7 @@ pub mod prompt;
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pub mod gate_parser;
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pub mod gated_loop;
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pub mod query_executor;
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pub mod shingle;
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pub use gate_parser::{GateResponse, ParseError, parse_gate_response};
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@@ -17,3 +18,4 @@ pub use lesson::{
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};
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pub use query::{Query, QuerySet, SynthesisQuery};
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pub use prompt::PromptBuilder;
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pub use shingle::{jaccard_similarity, matches_artifact, Shingle, ShingleConfig};
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@@ -0,0 +1,228 @@
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// M4.2 — Shingle-based artifact detection
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//
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// Computes normalized shingle overlap to detect when a record quotes or
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// re-emits an artifact. Survives minor formatting changes while avoiding
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// false positives on mere mentions.
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use std::collections::{HashMap, HashSet};
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/// Normalized shingle (n-gram) for comparison
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#[derive(Debug, Clone, Eq, PartialEq, Hash)]
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pub struct Shingle(String);
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/// Configuration for shingle matching
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#[derive(Debug, Clone)]
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pub struct ShingleConfig {
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/// Overlap threshold (0.0-1.0). Default 0.8 = 80% overlap
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pub threshold: f32,
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/// Shingle size (n-gram length). Default 4
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pub size: usize,
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}
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impl Default for ShingleConfig {
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fn default() -> Self {
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Self {
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threshold: 0.8,
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size: 4,
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}
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}
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}
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/// Normalize text: remove markdown, code fences, collapse whitespace
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fn normalize(text: &str) -> String {
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let mut result = String::new();
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// Remove common markdown markers
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let stripped = text
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.replace("# ", "")
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.replace("## ", "")
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.replace("### ", "")
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.replace("```", "")
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.replace("`", "")
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.replace("---", "");
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// Convert to lowercase and collapse whitespace
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let mut in_space = false;
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for c in stripped.chars() {
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if c.is_whitespace() {
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if !in_space {
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result.push(' ');
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in_space = true;
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}
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} else {
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result.push(c.to_ascii_lowercase());
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in_space = false;
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}
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}
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result.trim().to_string()
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}
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/// Split text into overlapping n-grams
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fn get_shingles(text: &str, size: usize) -> HashSet<Shingle> {
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let normalized = normalize(text);
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let tokens: Vec<&str> = normalized.split_whitespace().collect();
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let mut shingles = HashSet::new();
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if tokens.len() < size {
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// If text is shorter than shingle size, use the whole thing
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shingles.insert(Shingle(normalized));
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} else {
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for window in tokens.windows(size) {
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let shingle = window.join(" ");
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shingles.insert(Shingle(shingle));
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}
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}
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shingles
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}
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/// Compute Jaccard similarity between two texts
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pub fn jaccard_similarity(text_a: &str, text_b: &str, size: usize) -> f32 {
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let shingles_a = get_shingles(text_a, size);
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let shingles_b = get_shingles(text_b, size);
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if shingles_a.is_empty() && shingles_b.is_empty() {
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return 1.0; // Both empty = perfect match
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}
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let intersection = shingles_a
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.iter()
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.filter(|s| shingles_b.contains(s))
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.count();
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let union = shingles_a.len() + shingles_b.len() - intersection;
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if union == 0 {
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return 0.0;
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}
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intersection as f32 / union as f32
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}
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/// Check if a record matches any artifact based on shingle overlap
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pub fn matches_artifact(
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record_text: &str,
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artifacts: &[(String, String)], // (name, content) pairs
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config: &ShingleConfig,
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) -> Option<(String, f32)> {
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// (artifact_name, similarity)
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for (name, content) in artifacts {
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let similarity = jaccard_similarity(record_text, content, config.size);
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if similarity >= config.threshold {
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return Some((name.clone(), similarity));
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}
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}
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None
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn test_normalize_removes_markdown() {
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let text = "# Header\nSome `code` text\n\n---";
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let normalized = normalize(text);
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assert!(normalized.contains("header"));
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assert!(normalized.contains("code"));
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assert!(!normalized.contains("#"));
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assert!(!normalized.contains("`"));
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}
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#[test]
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fn test_normalize_collapses_whitespace() {
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let text = "a b c";
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let normalized = normalize(text);
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assert_eq!(normalized, "a b c");
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}
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#[test]
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fn test_shingles_extracted() {
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let text = "the quick brown fox";
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let shingles = get_shingles(text, 2);
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assert!(shingles.iter().any(|s| s.0.contains("the quick")));
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assert!(shingles.iter().any(|s| s.0.contains("brown fox")));
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}
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#[test]
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fn test_jaccard_identical_texts() {
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let similarity = jaccard_similarity("hello world", "hello world", 2);
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assert!(similarity > 0.99);
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}
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#[test]
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fn test_jaccard_completely_different() {
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let similarity = jaccard_similarity("aaa aaa aaa", "zzz zzz zzz", 2);
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assert!(similarity < 0.01);
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}
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#[test]
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fn test_jaccard_survives_whitespace_differences() {
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let text_a = "the quick brown fox";
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let text_b = "the quick\n brown fox"; // Extra whitespace
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let similarity = jaccard_similarity(text_a, text_b, 2);
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assert!(similarity > 0.95); // Should be nearly identical
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}
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#[test]
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fn test_jaccard_survives_markdown_differences() {
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let text_a = "Use the infra-root-causes skill";
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let text_b = "# Use the infra-root-causes skill";
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let similarity = jaccard_similarity(text_a, text_b, 2);
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assert!(similarity > 0.70); // Same content, just markup
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}
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#[test]
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fn test_matches_artifact_verbatim() {
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let artifacts = vec![("skill-a".to_string(), "the quick brown fox".to_string())];
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let config = ShingleConfig {
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threshold: 0.8,
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size: 2,
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};
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let (name, sim) = matches_artifact("the quick brown fox", &artifacts, &config)
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.expect("Should match verbatim");
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assert_eq!(name, "skill-a");
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assert!(sim > 0.99);
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}
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#[test]
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fn test_matches_artifact_reformatted() {
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let artifacts = vec![("skill-a".to_string(), "the quick brown fox".to_string())];
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let config = ShingleConfig {
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threshold: 0.70,
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size: 2,
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};
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let reformatted = "# The Quick Brown Fox\n\n```\nthe quick brown fox\n```";
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let (name, sim) =
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matches_artifact(reformatted, &artifacts, &config).expect("Should match reformatted");
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assert_eq!(name, "skill-a");
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assert!(sim >= 0.70);
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}
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#[test]
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fn test_no_match_on_mention() {
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let artifacts = vec![("skill-a".to_string(), "the quick brown fox".to_string())];
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let config = ShingleConfig {
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threshold: 0.8,
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size: 2,
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};
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let mention = "I used the skill-a yesterday";
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let result = matches_artifact(mention, &artifacts, &config);
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assert!(result.is_none(), "Mere mention should not match");
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}
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#[test]
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fn test_no_match_on_unrelated() {
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let artifacts = vec![("skill-a".to_string(), "fox jumps over lazy dog".to_string())];
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let config = ShingleConfig {
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threshold: 0.8,
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size: 2,
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};
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let unrelated = "the cat sat on the mat";
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let result = matches_artifact(unrelated, &artifacts, &config);
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assert!(result.is_none(), "Unrelated text should not match");
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}
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}
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