use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use std::path::PathBuf;
const MAX_FACTS: usize = 200;
const MAX_PATTERNS: usize = 50;
const MAX_HISTORY: usize = 100;
const CONTRADICTION_THRESHOLD: f32 = 0.5;
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProjectKnowledge {
pub project_root: String,
pub project_hash: String,
pub facts: Vec<KnowledgeFact>,
pub patterns: Vec<ProjectPattern>,
pub history: Vec<ConsolidatedInsight>,
pub updated_at: DateTime<Utc>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct KnowledgeFact {
pub category: String,
pub key: String,
pub value: String,
pub source_session: String,
pub confidence: f32,
pub created_at: DateTime<Utc>,
pub last_confirmed: DateTime<Utc>,
#[serde(default)]
pub valid_from: Option<DateTime<Utc>>,
#[serde(default)]
pub valid_until: Option<DateTime<Utc>>,
#[serde(default)]
pub supersedes: Option<String>,
#[serde(default)]
pub confirmation_count: u32,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Contradiction {
pub existing_key: String,
pub existing_value: String,
pub new_value: String,
pub category: String,
pub severity: ContradictionSeverity,
pub resolution: String,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub enum ContradictionSeverity {
Low,
Medium,
High,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProjectPattern {
pub pattern_type: String,
pub description: String,
pub examples: Vec<String>,
pub source_session: String,
pub created_at: DateTime<Utc>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ConsolidatedInsight {
pub summary: String,
pub from_sessions: Vec<String>,
pub timestamp: DateTime<Utc>,
}
impl ProjectKnowledge {
pub fn new(project_root: &str) -> Self {
Self {
project_root: project_root.to_string(),
project_hash: hash_project_root(project_root),
facts: Vec::new(),
patterns: Vec::new(),
history: Vec::new(),
updated_at: Utc::now(),
}
}
pub fn check_contradiction(
&self,
category: &str,
key: &str,
new_value: &str,
) -> Option<Contradiction> {
let existing = self
.facts
.iter()
.find(|f| f.category == category && f.key == key && f.is_current())?;
if existing.value.to_lowercase() == new_value.to_lowercase() {
return None;
}
let similarity = string_similarity(&existing.value, new_value);
if similarity > 0.8 {
return None;
}
let severity = if existing.confidence >= 0.9 && existing.confirmation_count >= 2 {
ContradictionSeverity::High
} else if existing.confidence >= CONTRADICTION_THRESHOLD {
ContradictionSeverity::Medium
} else {
ContradictionSeverity::Low
};
let resolution = match severity {
ContradictionSeverity::High => format!(
"High-confidence fact [{category}/{key}] changed: '{}' -> '{new_value}' (was confirmed {}x). Previous value archived.",
existing.value, existing.confirmation_count
),
ContradictionSeverity::Medium => format!(
"Fact [{category}/{key}] updated: '{}' -> '{new_value}'",
existing.value
),
ContradictionSeverity::Low => format!(
"Low-confidence fact [{category}/{key}] replaced: '{}' -> '{new_value}'",
existing.value
),
};
Some(Contradiction {
existing_key: key.to_string(),
existing_value: existing.value.clone(),
new_value: new_value.to_string(),
category: category.to_string(),
severity,
resolution,
})
}
pub fn remember(
&mut self,
category: &str,
key: &str,
value: &str,
session_id: &str,
confidence: f32,
) -> Option<Contradiction> {
let contradiction = self.check_contradiction(category, key, value);
if let Some(existing) = self
.facts
.iter_mut()
.find(|f| f.category == category && f.key == key && f.is_current())
{
if existing.value != value {
if existing.confidence >= 0.9 && existing.confirmation_count >= 2 {
existing.valid_until = Some(Utc::now());
let superseded_id = format!("{}/{}", existing.category, existing.key);
let now = Utc::now();
self.facts.push(KnowledgeFact {
category: category.to_string(),
key: key.to_string(),
value: value.to_string(),
source_session: session_id.to_string(),
confidence,
created_at: now,
last_confirmed: now,
valid_from: Some(now),
valid_until: None,
supersedes: Some(superseded_id),
confirmation_count: 1,
});
} else {
existing.value = value.to_string();
existing.confidence = confidence;
existing.last_confirmed = Utc::now();
existing.source_session = session_id.to_string();
existing.valid_from = existing.valid_from.or(Some(existing.created_at));
existing.confirmation_count = 1;
}
} else {
existing.last_confirmed = Utc::now();
existing.source_session = session_id.to_string();
existing.confidence = (existing.confidence + confidence) / 2.0;
existing.confirmation_count += 1;
}
} else {
let now = Utc::now();
self.facts.push(KnowledgeFact {
category: category.to_string(),
key: key.to_string(),
value: value.to_string(),
source_session: session_id.to_string(),
confidence,
created_at: now,
last_confirmed: now,
valid_from: Some(now),
valid_until: None,
supersedes: None,
confirmation_count: 1,
});
}
if self.facts.len() > MAX_FACTS {
self.facts
.sort_by(|a, b| b.last_confirmed.cmp(&a.last_confirmed));
self.facts.truncate(MAX_FACTS);
}
self.updated_at = Utc::now();
let action = if contradiction.is_some() {
"contradict"
} else {
"remember"
};
crate::core::events::emit(crate::core::events::EventKind::KnowledgeUpdate {
category: category.to_string(),
key: key.to_string(),
action: action.to_string(),
});
contradiction
}
pub fn recall(&self, query: &str) -> Vec<&KnowledgeFact> {
let q = query.to_lowercase();
let terms: Vec<&str> = q.split_whitespace().collect();
let mut results: Vec<(&KnowledgeFact, f32)> = self
.facts
.iter()
.filter(|f| f.is_current())
.filter_map(|f| {
let searchable = format!(
"{} {} {} {}",
f.category.to_lowercase(),
f.key.to_lowercase(),
f.value.to_lowercase(),
f.source_session
);
let match_count = terms.iter().filter(|t| searchable.contains(**t)).count();
if match_count > 0 {
let relevance = (match_count as f32 / terms.len() as f32) * f.confidence;
Some((f, relevance))
} else {
None
}
})
.collect();
results.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap_or(std::cmp::Ordering::Equal));
results.into_iter().map(|(f, _)| f).collect()
}
pub fn recall_by_category(&self, category: &str) -> Vec<&KnowledgeFact> {
self.facts
.iter()
.filter(|f| f.category == category && f.is_current())
.collect()
}
pub fn recall_at_time(&self, query: &str, at: DateTime<Utc>) -> Vec<&KnowledgeFact> {
let q = query.to_lowercase();
let terms: Vec<&str> = q.split_whitespace().collect();
let mut results: Vec<(&KnowledgeFact, f32)> = self
.facts
.iter()
.filter(|f| f.was_valid_at(at))
.filter_map(|f| {
let searchable = format!(
"{} {} {}",
f.category.to_lowercase(),
f.key.to_lowercase(),
f.value.to_lowercase(),
);
let match_count = terms.iter().filter(|t| searchable.contains(**t)).count();
if match_count > 0 {
Some((f, match_count as f32 / terms.len() as f32))
} else {
None
}
})
.collect();
results.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap_or(std::cmp::Ordering::Equal));
results.into_iter().map(|(f, _)| f).collect()
}
pub fn timeline(&self, category: &str) -> Vec<&KnowledgeFact> {
let mut facts: Vec<&KnowledgeFact> = self
.facts
.iter()
.filter(|f| f.category == category)
.collect();
facts.sort_by(|a, b| a.created_at.cmp(&b.created_at));
facts
}
pub fn list_rooms(&self) -> Vec<(String, usize)> {
let mut categories: std::collections::BTreeMap<String, usize> =
std::collections::BTreeMap::new();
for f in &self.facts {
if f.is_current() {
*categories.entry(f.category.clone()).or_insert(0) += 1;
}
}
categories.into_iter().collect()
}
pub fn add_pattern(
&mut self,
pattern_type: &str,
description: &str,
examples: Vec<String>,
session_id: &str,
) {
if let Some(existing) = self
.patterns
.iter_mut()
.find(|p| p.pattern_type == pattern_type && p.description == description)
{
for ex in &examples {
if !existing.examples.contains(ex) {
existing.examples.push(ex.clone());
}
}
return;
}
self.patterns.push(ProjectPattern {
pattern_type: pattern_type.to_string(),
description: description.to_string(),
examples,
source_session: session_id.to_string(),
created_at: Utc::now(),
});
if self.patterns.len() > MAX_PATTERNS {
self.patterns.truncate(MAX_PATTERNS);
}
self.updated_at = Utc::now();
}
pub fn consolidate(&mut self, summary: &str, session_ids: Vec<String>) {
self.history.push(ConsolidatedInsight {
summary: summary.to_string(),
from_sessions: session_ids,
timestamp: Utc::now(),
});
if self.history.len() > MAX_HISTORY {
self.history.drain(0..self.history.len() - MAX_HISTORY);
}
self.updated_at = Utc::now();
}
pub fn remove_fact(&mut self, category: &str, key: &str) -> bool {
let before = self.facts.len();
self.facts
.retain(|f| !(f.category == category && f.key == key));
let removed = self.facts.len() < before;
if removed {
self.updated_at = Utc::now();
}
removed
}
pub fn format_summary(&self) -> String {
let mut out = String::new();
let current_facts: Vec<&KnowledgeFact> =
self.facts.iter().filter(|f| f.is_current()).collect();
if !current_facts.is_empty() {
out.push_str("PROJECT KNOWLEDGE:\n");
let mut categories: Vec<&str> =
current_facts.iter().map(|f| f.category.as_str()).collect();
categories.sort();
categories.dedup();
for cat in categories {
out.push_str(&format!(" [{cat}]\n"));
for f in current_facts.iter().filter(|f| f.category == cat) {
out.push_str(&format!(
" {}: {} (confidence: {:.0}%)\n",
f.key,
f.value,
f.confidence * 100.0
));
}
}
}
if !self.patterns.is_empty() {
out.push_str("PROJECT PATTERNS:\n");
for p in &self.patterns {
out.push_str(&format!(" [{}] {}\n", p.pattern_type, p.description));
}
}
out
}
pub fn format_aaak(&self) -> String {
let current_facts: Vec<&KnowledgeFact> =
self.facts.iter().filter(|f| f.is_current()).collect();
if current_facts.is_empty() && self.patterns.is_empty() {
return String::new();
}
let mut out = String::new();
let mut categories: Vec<&str> = current_facts.iter().map(|f| f.category.as_str()).collect();
categories.sort();
categories.dedup();
for cat in categories {
let facts_in_cat: Vec<&&KnowledgeFact> =
current_facts.iter().filter(|f| f.category == cat).collect();
let items: Vec<String> = facts_in_cat
.iter()
.map(|f| {
let stars = confidence_stars(f.confidence);
format!("{}={}{}", f.key, f.value, stars)
})
.collect();
out.push_str(&format!("{}:{}\n", cat.to_uppercase(), items.join("|")));
}
if !self.patterns.is_empty() {
let pat_items: Vec<String> = self
.patterns
.iter()
.map(|p| format!("{}.{}", p.pattern_type, p.description))
.collect();
out.push_str(&format!("PAT:{}\n", pat_items.join("|")));
}
out
}
pub fn format_wakeup(&self) -> String {
let current_facts: Vec<&KnowledgeFact> = self
.facts
.iter()
.filter(|f| f.is_current() && f.confidence >= 0.7)
.collect();
if current_facts.is_empty() {
return String::new();
}
let mut top_facts: Vec<&KnowledgeFact> = current_facts;
top_facts.sort_by(|a, b| {
b.confidence
.partial_cmp(&a.confidence)
.unwrap_or(std::cmp::Ordering::Equal)
.then_with(|| b.confirmation_count.cmp(&a.confirmation_count))
});
top_facts.truncate(10);
let items: Vec<String> = top_facts
.iter()
.map(|f| format!("{}/{}={}", f.category, f.key, f.value))
.collect();
format!("FACTS:{}", items.join("|"))
}
pub fn save(&self) -> Result<(), String> {
let dir = knowledge_dir(&self.project_hash)?;
std::fs::create_dir_all(&dir).map_err(|e| e.to_string())?;
let path = dir.join("knowledge.json");
let json = serde_json::to_string_pretty(self).map_err(|e| e.to_string())?;
std::fs::write(&path, json).map_err(|e| e.to_string())
}
pub fn load(project_root: &str) -> Option<Self> {
let hash = hash_project_root(project_root);
let dir = knowledge_dir(&hash).ok()?;
let path = dir.join("knowledge.json");
let content = std::fs::read_to_string(&path).ok()?;
serde_json::from_str(&content).ok()
}
pub fn load_or_create(project_root: &str) -> Self {
Self::load(project_root).unwrap_or_else(|| Self::new(project_root))
}
pub fn migrate_legacy_empty_root(target_root: &str) -> Result<bool, String> {
if target_root.trim().is_empty() {
return Ok(false);
}
let legacy = match Self::load("") {
Some(k) => k,
None => return Ok(false),
};
if !legacy.project_root.trim().is_empty() {
return Ok(false);
}
if legacy.facts.is_empty() && legacy.patterns.is_empty() && legacy.history.is_empty() {
return Ok(false);
}
let mut target = Self::load_or_create(target_root);
fn fact_key(f: &KnowledgeFact) -> String {
format!(
"{}|{}|{}|{}|{}",
f.category, f.key, f.value, f.source_session, f.created_at
)
}
fn pattern_key(p: &ProjectPattern) -> String {
format!(
"{}|{}|{}|{}",
p.pattern_type, p.description, p.source_session, p.created_at
)
}
fn history_key(h: &ConsolidatedInsight) -> String {
format!(
"{}|{}|{}",
h.summary,
h.from_sessions.join(","),
h.timestamp
)
}
let mut seen_facts: std::collections::HashSet<String> =
target.facts.iter().map(fact_key).collect();
for f in legacy.facts {
if seen_facts.insert(fact_key(&f)) {
target.facts.push(f);
}
}
let mut seen_patterns: std::collections::HashSet<String> =
target.patterns.iter().map(pattern_key).collect();
for p in legacy.patterns {
if seen_patterns.insert(pattern_key(&p)) {
target.patterns.push(p);
}
}
let mut seen_history: std::collections::HashSet<String> =
target.history.iter().map(history_key).collect();
for h in legacy.history {
if seen_history.insert(history_key(&h)) {
target.history.push(h);
}
}
target.facts.sort_by(|a, b| {
b.created_at
.cmp(&a.created_at)
.then_with(|| b.confidence.total_cmp(&a.confidence))
});
if target.facts.len() > MAX_FACTS {
target.facts.truncate(MAX_FACTS);
}
target
.patterns
.sort_by(|a, b| b.created_at.cmp(&a.created_at));
if target.patterns.len() > MAX_PATTERNS {
target.patterns.truncate(MAX_PATTERNS);
}
target.history.sort_by(|a, b| b.timestamp.cmp(&a.timestamp));
if target.history.len() > MAX_HISTORY {
target.history.truncate(MAX_HISTORY);
}
target.updated_at = Utc::now();
target.save()?;
let legacy_hash = hash_project_root("");
let legacy_dir = knowledge_dir(&legacy_hash)?;
let legacy_path = legacy_dir.join("knowledge.json");
if legacy_path.exists() {
let ts = Utc::now().format("%Y%m%d-%H%M%S");
let backup = legacy_dir.join(format!("knowledge.legacy-empty-root.{ts}.json"));
std::fs::rename(&legacy_path, &backup).map_err(|e| e.to_string())?;
}
Ok(true)
}
}
impl KnowledgeFact {
pub fn is_current(&self) -> bool {
self.valid_until.is_none()
}
pub fn was_valid_at(&self, at: DateTime<Utc>) -> bool {
let after_start = self.valid_from.is_none_or(|from| at >= from);
let before_end = self.valid_until.is_none_or(|until| at <= until);
after_start && before_end
}
}
fn confidence_stars(confidence: f32) -> &'static str {
if confidence >= 0.95 {
"★★★★★"
} else if confidence >= 0.85 {
"★★★★"
} else if confidence >= 0.7 {
"★★★"
} else if confidence >= 0.5 {
"★★"
} else {
"★"
}
}
fn string_similarity(a: &str, b: &str) -> f32 {
let a_lower = a.to_lowercase();
let b_lower = b.to_lowercase();
let a_words: std::collections::HashSet<&str> = a_lower.split_whitespace().collect();
let b_words: std::collections::HashSet<&str> = b_lower.split_whitespace().collect();
if a_words.is_empty() && b_words.is_empty() {
return 1.0;
}
let intersection = a_words.intersection(&b_words).count();
let union = a_words.union(&b_words).count();
if union == 0 {
return 0.0;
}
intersection as f32 / union as f32
}
fn knowledge_dir(project_hash: &str) -> Result<PathBuf, String> {
Ok(lean_ctx_data_dir()?.join("knowledge").join(project_hash))
}
fn lean_ctx_data_dir() -> Result<PathBuf, String> {
if let Ok(dir) = std::env::var("LEAN_CTX_DATA_DIR") {
let trimmed = dir.trim();
if !trimmed.is_empty() {
return Ok(PathBuf::from(trimmed));
}
}
let home = dirs::home_dir().ok_or("Cannot determine home directory")?;
Ok(home.join(".lean-ctx"))
}
fn hash_project_root(root: &str) -> String {
use std::collections::hash_map::DefaultHasher;
use std::hash::{Hash, Hasher};
let mut hasher = DefaultHasher::new();
root.hash(&mut hasher);
format!("{:016x}", hasher.finish())
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn remember_and_recall() {
let mut k = ProjectKnowledge::new("/tmp/test-project");
k.remember("architecture", "auth", "JWT RS256", "session-1", 0.9);
k.remember("api", "rate-limit", "100/min", "session-1", 0.8);
let results = k.recall("auth");
assert_eq!(results.len(), 1);
assert_eq!(results[0].value, "JWT RS256");
let results = k.recall("api rate");
assert_eq!(results.len(), 1);
assert_eq!(results[0].key, "rate-limit");
}
#[test]
fn upsert_existing_fact() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember("arch", "db", "PostgreSQL", "s1", 0.7);
k.remember("arch", "db", "PostgreSQL 16 with pgvector", "s2", 0.95);
let current: Vec<_> = k.facts.iter().filter(|f| f.is_current()).collect();
assert_eq!(current.len(), 1);
assert_eq!(current[0].value, "PostgreSQL 16 with pgvector");
}
#[test]
fn contradiction_detection() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember("arch", "db", "PostgreSQL", "s1", 0.95);
k.facts[0].confirmation_count = 3;
let contradiction = k.check_contradiction("arch", "db", "MySQL");
assert!(contradiction.is_some());
let c = contradiction.unwrap();
assert_eq!(c.severity, ContradictionSeverity::High);
}
#[test]
fn temporal_validity() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember("arch", "db", "PostgreSQL", "s1", 0.95);
k.facts[0].confirmation_count = 3;
k.remember("arch", "db", "MySQL", "s2", 0.9);
let current: Vec<_> = k.facts.iter().filter(|f| f.is_current()).collect();
assert_eq!(current.len(), 1);
assert_eq!(current[0].value, "MySQL");
let all_db: Vec<_> = k.facts.iter().filter(|f| f.key == "db").collect();
assert_eq!(all_db.len(), 2);
}
#[test]
fn confirmation_count() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember("arch", "db", "PostgreSQL", "s1", 0.9);
assert_eq!(k.facts[0].confirmation_count, 1);
k.remember("arch", "db", "PostgreSQL", "s2", 0.9);
assert_eq!(k.facts[0].confirmation_count, 2);
}
#[test]
fn remove_fact() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember("arch", "db", "PostgreSQL", "s1", 0.9);
assert!(k.remove_fact("arch", "db"));
assert!(k.facts.is_empty());
assert!(!k.remove_fact("arch", "db"));
}
#[test]
fn list_rooms() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember("architecture", "auth", "JWT", "s1", 0.9);
k.remember("architecture", "db", "PG", "s1", 0.9);
k.remember("deploy", "host", "AWS", "s1", 0.8);
let rooms = k.list_rooms();
assert_eq!(rooms.len(), 2);
}
#[test]
fn aaak_format() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember("architecture", "auth", "JWT RS256", "s1", 0.95);
k.remember("architecture", "db", "PostgreSQL", "s1", 0.7);
let aaak = k.format_aaak();
assert!(aaak.contains("ARCHITECTURE:"));
assert!(aaak.contains("auth=JWT RS256"));
}
#[test]
fn consolidate_history() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.consolidate(
"Migrated from REST to GraphQL",
vec!["s1".into(), "s2".into()],
);
assert_eq!(k.history.len(), 1);
assert_eq!(k.history[0].from_sessions.len(), 2);
}
#[test]
fn format_summary_output() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember("architecture", "auth", "JWT RS256", "s1", 0.9);
k.add_pattern(
"naming",
"snake_case for functions",
vec!["get_user()".into()],
"s1",
);
let summary = k.format_summary();
assert!(summary.contains("PROJECT KNOWLEDGE:"));
assert!(summary.contains("auth: JWT RS256"));
assert!(summary.contains("PROJECT PATTERNS:"));
}
#[test]
fn temporal_recall_at_time() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember("arch", "db", "PostgreSQL", "s1", 0.95);
k.facts[0].confirmation_count = 3;
let before_change = Utc::now();
std::thread::sleep(std::time::Duration::from_millis(10));
k.remember("arch", "db", "MySQL", "s2", 0.9);
let results = k.recall_at_time("db", before_change);
assert_eq!(results.len(), 1);
assert_eq!(results[0].value, "PostgreSQL");
let results_now = k.recall_at_time("db", Utc::now());
assert_eq!(results_now.len(), 1);
assert_eq!(results_now[0].value, "MySQL");
}
#[test]
fn timeline_shows_history() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember("arch", "db", "PostgreSQL", "s1", 0.95);
k.facts[0].confirmation_count = 3;
k.remember("arch", "db", "MySQL", "s2", 0.9);
let timeline = k.timeline("arch");
assert_eq!(timeline.len(), 2);
assert!(!timeline[0].is_current());
assert!(timeline[1].is_current());
}
#[test]
fn wakeup_format() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember("arch", "auth", "JWT", "s1", 0.95);
k.remember("arch", "db", "PG", "s1", 0.8);
let wakeup = k.format_wakeup();
assert!(wakeup.contains("FACTS:"));
assert!(wakeup.contains("arch/auth=JWT"));
assert!(wakeup.contains("arch/db=PG"));
}
#[test]
fn low_confidence_contradiction() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember("arch", "db", "PostgreSQL", "s1", 0.4);
let c = k.check_contradiction("arch", "db", "MySQL");
assert!(c.is_some());
assert_eq!(c.unwrap().severity, ContradictionSeverity::Low);
}
#[test]
fn no_contradiction_for_same_value() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember("arch", "db", "PostgreSQL", "s1", 0.95);
let c = k.check_contradiction("arch", "db", "PostgreSQL");
assert!(c.is_none());
}
#[test]
fn no_contradiction_for_similar_values() {
let mut k = ProjectKnowledge::new("/tmp/test");
k.remember(
"arch",
"db",
"PostgreSQL 16 production database server",
"s1",
0.95,
);
let c = k.check_contradiction(
"arch",
"db",
"PostgreSQL 16 production database server config",
);
assert!(c.is_none());
}
}