Deploy Poimen Memory K8s cluster with ArgoCD tracking (M2.2, M3.5-M3.7)
This commit is contained in:
@@ -0,0 +1,54 @@
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use anyhow::Result;
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use serde::{Deserialize, Serialize};
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use std::fs::{create_dir_all, OpenOptions};
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use std::io::Write;
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use std::path::PathBuf;
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/// JSONL event record.
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#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
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pub struct EventRecord {
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pub project: String,
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pub query: String,
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pub run: String,
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pub turn: u32,
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pub event_type: String,
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pub data: serde_json::Value,
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}
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/// Event log writer.
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pub struct LogWriter {
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path: PathBuf,
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}
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impl LogWriter {
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/// Open or create log file.
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pub fn new(project: &str, query: &str, run: &str) -> Result<Self> {
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let dir = PathBuf::from(format!("log/{}/{}", project, query));
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create_dir_all(&dir)?;
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Ok(Self {
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path: dir.join(format!("{}.jsonl", run)),
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})
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}
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/// Append event to log.
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pub fn log(&mut self, record: EventRecord) -> Result<()> {
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let mut file = OpenOptions::new()
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.create(true)
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.append(true)
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.open(&self.path)?;
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serde_json::to_writer(&mut file, &record)?;
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file.write_all(b"\n")?;
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Ok(())
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}
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/// Read all events from log.
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pub fn read_all(&self) -> Result<Vec<EventRecord>> {
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let contents = std::fs::read_to_string(&self.path)?;
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contents
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.lines()
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.filter(|line| !line.is_empty())
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.map(|line| serde_json::from_str(line).map_err(|e| anyhow::anyhow!("Parse error: {}", e)))
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.collect()
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}
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}
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@@ -1 +1,11 @@
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pub mod placeholder {}
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pub mod event_log;
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pub mod pgvector;
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pub mod rebuild;
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pub mod pg_repo;
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pub mod obsidian;
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pub use event_log::{EventRecord, LogWriter};
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pub use pgvector::{VectorRecord, VectorStore};
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pub use rebuild::RebuildState;
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pub use pg_repo::{PgRepo, MemoryNode, VectorKind, Level, ScoredNode};
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pub use obsidian::ObsidianProjector;
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@@ -0,0 +1,193 @@
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use crate::EventRecord;
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use anyhow::Result;
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use std::collections::{BTreeMap, HashMap};
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use std::fs;
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/// Obsidian vault projector (deterministic, byte-identical).
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pub struct ObsidianProjector {
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vault_dir: String,
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_emit_evidence: bool,
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}
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/// Vault note metadata (stable frontmatter order).
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#[derive(Debug, Clone)]
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pub struct VaultNote {
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pub project: String,
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pub level: String,
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pub query_id: Option<String>,
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pub updated: String,
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pub chunks_seen: u32,
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pub chunks_used: u32,
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pub run_id: String,
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pub body: String,
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pub parents: Vec<(String, String)>,
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}
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impl ObsidianProjector {
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/// Create projector.
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pub fn new(_log_dir: &str, vault_dir: &str, emit_evidence: bool) -> Self {
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Self {
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vault_dir: vault_dir.to_string(),
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_emit_evidence: emit_evidence,
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}
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}
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/// Project log to vault (deterministic).
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pub fn project(&self, events: &[EventRecord]) -> Result<()> {
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fs::create_dir_all(&self.vault_dir)?;
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// Group by project and query
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let mut by_project: HashMap<String, HashMap<String, Vec<&EventRecord>>> = HashMap::new();
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for event in events {
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by_project
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.entry(event.project.clone())
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.or_insert_with(HashMap::new)
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.entry(event.query.clone())
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.or_insert_with(Vec::new)
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.push(event);
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}
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// Generate notes per project (in sorted order for determinism)
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let mut sorted_projects: Vec<_> = by_project.iter().collect();
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sorted_projects.sort_by_key(|(p, _)| p.as_str());
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for (project, queries) in sorted_projects {
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let proj_dir = format!("{}/{}", self.vault_dir, project);
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fs::create_dir_all(&proj_dir)?;
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// Generate index (L2)
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let index_note = VaultNote {
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project: project.clone(),
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level: "L2".to_string(),
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query_id: None,
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updated: "2026-01-01".to_string(),
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chunks_seen: 0,
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chunks_used: 0,
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run_id: "index".to_string(),
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body: String::new(),
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parents: vec![],
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};
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self.write_note(&proj_dir, "index", &index_note)?;
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// Generate per-query notes (L1) in sorted order
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let mut sorted_queries: Vec<_> = queries.iter().collect();
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sorted_queries.sort_by_key(|(qid, _)| qid.as_str());
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for (query_id, query_events) in sorted_queries {
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let (chunks_seen, chunks_used, body, parents) =
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Self::summarize_query(query_events);
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let note = VaultNote {
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project: project.clone(),
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level: "L1".to_string(),
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query_id: Some(query_id.to_string()),
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updated: "2026-01-01".to_string(),
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chunks_seen,
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chunks_used,
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run_id: "run1".to_string(),
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body,
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parents,
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};
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self.write_note(&proj_dir, query_id, ¬e)?;
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}
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}
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Ok(())
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}
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/// Write note with deterministic formatting.
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fn write_note(&self, dir: &str, name: &str, note: &VaultNote) -> Result<()> {
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// Stable frontmatter order (BTreeMap keeps keys sorted)
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let mut fm = BTreeMap::new();
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fm.insert("chunks_seen", note.chunks_seen.to_string());
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fm.insert("chunks_used", note.chunks_used.to_string());
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fm.insert("level", note.level.clone());
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fm.insert("project", note.project.clone());
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if let Some(qid) = ¬e.query_id {
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fm.insert("query_id", qid.clone());
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}
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fm.insert("run_id", note.run_id.clone());
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fm.insert("updated", note.updated.clone());
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// Build frontmatter
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let mut content = String::from("---\n");
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for (k, v) in fm.iter() {
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content.push_str(&format!("{}: {}\n", k, v));
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}
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content.push_str("---\n");
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// Title
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let title = note.query_id.as_ref().unwrap_or(¬e.project);
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content.push_str(&format!("# {}\n\n", title));
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// Body
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if note.body.is_empty() {
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content.push_str("No evidence found.\n\n");
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} else {
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content.push_str(¬e.body);
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if !note.body.ends_with('\n') {
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content.push('\n');
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}
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content.push('\n');
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}
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// Provenance (sorted)
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if !note.parents.is_empty() {
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content.push_str("## Provenance\n");
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let mut sorted_parents = note.parents.clone();
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sorted_parents.sort();
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for (source, time) in sorted_parents {
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content.push_str(&format!("- [[{}-{}]]\n", source, time));
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}
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}
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// Ensure exactly one trailing newline
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if !content.ends_with('\n') {
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content.push('\n');
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}
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// Write to file
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let path = format!("{}/{}.md", dir, name);
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fs::write(&path, &content)?;
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Ok(())
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}
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/// Summarize query events.
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fn summarize_query(
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events: &[&EventRecord],
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) -> (u32, u32, String, Vec<(String, String)>) {
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let mut chunks_seen = 0u32;
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let mut chunks_used = 0u32;
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let mut body = String::new();
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let mut parents = Vec::new();
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for event in events.iter() {
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if event.event_type.contains("Gate") {
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chunks_seen += 1;
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}
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if event.event_type.contains("Evidence") {
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chunks_used += 1;
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}
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// Simplified parent extraction
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if let Some(obj) = event.data.as_object() {
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if let Some(parent) = obj.get("parent") {
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if let Some(s) = parent.as_str() {
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parents.push((s.to_string(), format!("t{}", event.turn)));
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}
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}
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}
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}
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if chunks_used > 0 {
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body = format!(
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"Extracted from {} chunks, using {}\n",
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chunks_seen, chunks_used
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);
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}
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(chunks_seen, chunks_used, body, parents)
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}
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}
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@@ -0,0 +1,210 @@
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use anyhow::Result;
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use serde::{Deserialize, Serialize};
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use std::collections::BTreeMap;
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/// Vector kind (text or symptom).
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#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
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pub enum VectorKind {
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Text,
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Symptom,
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}
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impl std::fmt::Display for VectorKind {
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fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
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match self {
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VectorKind::Text => write!(f, "text"),
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VectorKind::Symptom => write!(f, "symptom"),
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}
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}
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}
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/// Level (L0, L1, L2).
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#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
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pub enum Level {
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L0,
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L1,
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L2,
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}
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/// Memory node (idempotent upsert key: sha256).
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct MemoryNode {
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pub sha256: String,
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pub level: Level,
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pub project: String,
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pub text: String,
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pub tokens: u32,
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}
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/// Scored search result.
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ScoredNode {
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pub node: MemoryNode,
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pub distance: f32,
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pub matched_kind: VectorKind,
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}
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/// PostgreSQL repository (in-memory mock for now).
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pub struct PgRepo {
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// Nodes by sha256
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nodes: BTreeMap<String, MemoryNode>,
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// Vectors by (sha256, kind)
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vectors: BTreeMap<(String, VectorKind), Vec<f32>>,
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// Parents edges: child_sha -> vec of parent_shas
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edges: BTreeMap<String, Vec<String>>,
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}
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impl PgRepo {
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/// Create new repo (mock, no real DB).
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pub fn new() -> Self {
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Self {
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nodes: BTreeMap::new(),
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vectors: BTreeMap::new(),
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edges: BTreeMap::new(),
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}
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}
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/// Upsert node (idempotent).
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pub fn upsert_node(&mut self, node: &MemoryNode) -> Result<()> {
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self.nodes.insert(node.sha256.clone(), node.clone());
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Ok(())
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}
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/// Upsert many nodes (batching embedding calls).
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pub fn upsert_many(&mut self, nodes: &[MemoryNode]) -> Result<()> {
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for node in nodes {
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self.upsert_node(node)?;
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}
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Ok(())
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}
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/// Upsert vector for node.
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pub fn upsert_vector(&mut self, sha: &str, kind: VectorKind, embedding: &[f32]) -> Result<()> {
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if !self.nodes.contains_key(sha) {
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return Err(anyhow::anyhow!("Node {} not found", sha));
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}
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self.vectors.insert((sha.to_string(), kind), embedding.to_vec());
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Ok(())
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}
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/// Insert edges (requires both endpoints exist).
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pub fn insert_edges(&mut self, child: &str, parents: &[String]) -> Result<()> {
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if !self.nodes.contains_key(child) {
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return Err(anyhow::anyhow!("Child node {} not found", child));
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}
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for parent in parents {
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if !self.nodes.contains_key(parent) {
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return Err(anyhow::anyhow!("Parent node {} not found", parent));
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}
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}
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self.edges.insert(child.to_string(), parents.to_vec());
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Ok(())
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}
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/// Search by cosine distance.
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pub fn search(
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&self,
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q: &[f32],
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kind: VectorKind,
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levels: &[Level],
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) -> Result<Vec<ScoredNode>> {
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let mut results = Vec::new();
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for ((sha, vkind), embedding) in &self.vectors {
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if *vkind != kind {
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continue;
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}
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if let Some(node) = self.nodes.get(sha) {
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if !levels.contains(&node.level) {
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continue;
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}
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if let Some(dist) = cosine_distance(q, embedding) {
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results.push(ScoredNode {
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node: node.clone(),
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distance: dist,
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matched_kind: kind,
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});
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}
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}
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}
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// Sort by distance (ascending)
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results.sort_by(|a, b| a.distance.partial_cmp(&b.distance).unwrap());
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Ok(results)
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}
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/// Parents of node.
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pub fn parents_of(&self, sha: &str) -> Result<Vec<MemoryNode>> {
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let parent_shas = self.edges.get(sha).cloned().unwrap_or_default();
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let parents: Vec<_> = parent_shas
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.iter()
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.filter_map(|p_sha| self.nodes.get(p_sha).cloned())
|
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.collect();
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Ok(parents)
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}
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|
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/// Clear all nodes for project.
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pub fn clear_project(&mut self, project: &str) -> Result<()> {
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let nodes_to_remove: Vec<String> = self
|
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.nodes
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.iter()
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.filter(|(_, n)| n.project == project)
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.map(|(sha, _)| sha.clone())
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.collect();
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// Remove vectors
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self.vectors.retain(|(sha, _), _| !nodes_to_remove.contains(sha));
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|
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// Remove edges
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self.edges.retain(|child, _| !nodes_to_remove.contains(child));
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|
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// Remove nodes
|
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self.nodes.retain(|sha, _| !nodes_to_remove.contains(sha));
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|
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Ok(())
|
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}
|
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|
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/// Get all nodes.
|
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pub fn all_nodes(&self) -> Vec<&MemoryNode> {
|
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self.nodes.values().collect()
|
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}
|
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|
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/// Verify: count upserted nodes.
|
||||
pub fn node_count(&self) -> usize {
|
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self.nodes.len()
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}
|
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|
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/// Verify: count edges.
|
||||
pub fn edge_count(&self) -> usize {
|
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self.edges.len()
|
||||
}
|
||||
}
|
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|
||||
/// Cosine distance (1 - cosine_similarity).
|
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fn cosine_distance(a: &[f32], b: &[f32]) -> Option<f32> {
|
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if a.len() != b.len() || a.is_empty() {
|
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return None;
|
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}
|
||||
|
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let mut dot = 0.0;
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let mut norm_a = 0.0;
|
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let mut norm_b = 0.0;
|
||||
|
||||
for (x, y) in a.iter().zip(b.iter()) {
|
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dot += x * y;
|
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norm_a += x * x;
|
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norm_b += y * y;
|
||||
}
|
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|
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let norm_a = norm_a.sqrt();
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let norm_b = norm_b.sqrt();
|
||||
|
||||
if norm_a == 0.0 || norm_b == 0.0 {
|
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return None;
|
||||
}
|
||||
|
||||
let similarity = dot / (norm_a * norm_b);
|
||||
Some(1.0 - similarity)
|
||||
}
|
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@@ -0,0 +1,81 @@
|
||||
use anyhow::Result;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
/// Vector embedding record in pgvector.
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
pub struct VectorRecord {
|
||||
pub id: String,
|
||||
pub chunk_id: String,
|
||||
pub kind: String, // "text" | "symptom"
|
||||
pub embedding: Vec<f32>, // 768-dimensional for nomic
|
||||
pub tokens: u32,
|
||||
}
|
||||
|
||||
/// pgvector client.
|
||||
pub struct VectorStore {
|
||||
// In production: PostgreSQL connection
|
||||
// For now: in-memory vec
|
||||
records: Vec<VectorRecord>,
|
||||
}
|
||||
|
||||
impl VectorStore {
|
||||
/// Create a new vector store.
|
||||
pub fn new() -> Self {
|
||||
Self {
|
||||
records: Vec::new(),
|
||||
}
|
||||
}
|
||||
|
||||
/// Insert a vector record.
|
||||
pub fn insert(&mut self, record: VectorRecord) -> Result<()> {
|
||||
self.records.push(record);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Search by cosine similarity.
|
||||
pub fn search(&self, query: &[f32], limit: usize, min_score: f32) -> Result<Vec<(String, f32)>> {
|
||||
let mut results = Vec::new();
|
||||
|
||||
for record in &self.records {
|
||||
if let Some(score) = cosine_similarity(query, &record.embedding) {
|
||||
if score >= min_score {
|
||||
results.push((record.id.clone(), score));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
results.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap());
|
||||
Ok(results.into_iter().take(limit).collect())
|
||||
}
|
||||
|
||||
/// Get all records.
|
||||
pub fn all(&self) -> Vec<&VectorRecord> {
|
||||
self.records.iter().collect()
|
||||
}
|
||||
}
|
||||
|
||||
/// Compute cosine similarity between two vectors.
|
||||
fn cosine_similarity(a: &[f32], b: &[f32]) -> Option<f32> {
|
||||
if a.len() != b.len() {
|
||||
return None;
|
||||
}
|
||||
|
||||
let mut dot_product = 0.0;
|
||||
let mut norm_a = 0.0;
|
||||
let mut norm_b = 0.0;
|
||||
|
||||
for (x, y) in a.iter().zip(b.iter()) {
|
||||
dot_product += x * y;
|
||||
norm_a += x * x;
|
||||
norm_b += y * y;
|
||||
}
|
||||
|
||||
let norm_a = norm_a.sqrt();
|
||||
let norm_b = norm_b.sqrt();
|
||||
|
||||
if norm_a == 0.0 || norm_b == 0.0 {
|
||||
return None;
|
||||
}
|
||||
|
||||
Some(dot_product / (norm_a * norm_b))
|
||||
}
|
||||
@@ -0,0 +1,80 @@
|
||||
use crate::EventRecord;
|
||||
use anyhow::Result;
|
||||
use serde::{Deserialize, Serialize};
|
||||
use std::collections::BTreeMap;
|
||||
|
||||
/// Deterministic rebuild state from JSONL event log.
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
pub struct RebuildState {
|
||||
pub memories: BTreeMap<String, String>, // query_id -> final_memory
|
||||
pub event_count: u32,
|
||||
pub chunks_seen: u32,
|
||||
pub chunks_used: u32,
|
||||
}
|
||||
|
||||
impl RebuildState {
|
||||
/// Rebuild from event records (must be deterministic).
|
||||
pub fn from_events(events: &[EventRecord]) -> Result<Self> {
|
||||
let mut memories = BTreeMap::new();
|
||||
let mut chunks_seen = 0;
|
||||
let mut chunks_used = 0;
|
||||
|
||||
// Group events by query
|
||||
let mut by_query: BTreeMap<String, Vec<&EventRecord>> = BTreeMap::new();
|
||||
for event in events {
|
||||
by_query.entry(event.query.clone()).or_insert_with(Vec::new).push(event);
|
||||
}
|
||||
|
||||
// Replay events for each query
|
||||
for (query_id, query_events) in by_query {
|
||||
let memory = String::new();
|
||||
let mut q_seen = 0;
|
||||
let mut q_used = 0;
|
||||
|
||||
for event in query_events {
|
||||
// Parse event_type (very simplified)
|
||||
if event.event_type.contains("Memory") {
|
||||
// Would parse the actual memory update from data
|
||||
// For now: assume memory doesn't change without update
|
||||
}
|
||||
if event.event_type.contains("Evidence") {
|
||||
q_used += 1;
|
||||
}
|
||||
if event.event_type.contains("Gate") {
|
||||
q_seen += 1;
|
||||
}
|
||||
}
|
||||
|
||||
memories.insert(query_id, memory);
|
||||
chunks_seen += q_seen;
|
||||
chunks_used += q_used;
|
||||
}
|
||||
|
||||
Ok(Self {
|
||||
memories,
|
||||
event_count: events.len() as u32,
|
||||
chunks_seen,
|
||||
chunks_used,
|
||||
})
|
||||
}
|
||||
|
||||
/// Serialize to JSONL (must match original byte-for-byte).
|
||||
pub fn to_events(&self) -> Vec<EventRecord> {
|
||||
// This is a placeholder - real rebuild would deserialize the exact events
|
||||
// The key is that deserialization + re-serialization produces identical bytes
|
||||
vec![]
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use serde_json::json;
|
||||
|
||||
#[test]
|
||||
fn test_rebuild_empty() {
|
||||
let events = vec![];
|
||||
let state = RebuildState::from_events(&events).unwrap();
|
||||
assert_eq!(state.event_count, 0);
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user