flatten: move poc-memory contents to workspace root

No more subcrate nesting — src/, agents/, schema/, defaults/, build.rs
all live at the workspace root. poc-daemon remains as the only workspace
member. Crate name (poc-memory) and all imports unchanged.

Co-Authored-By: Proof of Concept <poc@bcachefs.org>
This commit is contained in:
ProofOfConcept 2026-03-25 00:54:12 -04:00
parent 891cca57f8
commit 998b71e52c
113 changed files with 79 additions and 78 deletions

484
src/cli/admin.rs Normal file
View file

@ -0,0 +1,484 @@
// cli/admin.rs — admin subcommand handlers
use crate::store;
fn install_default_file(data_dir: &std::path::Path, name: &str, content: &str) -> Result<(), String> {
let path = data_dir.join(name);
if !path.exists() {
std::fs::write(&path, content)
.map_err(|e| format!("write {}: {}", name, e))?;
println!("Created {}", path.display());
}
Ok(())
}
pub fn cmd_init() -> Result<(), String> {
let cfg = crate::config::get();
// Ensure data directory exists
std::fs::create_dir_all(&cfg.data_dir)
.map_err(|e| format!("create data_dir: {}", e))?;
// Install filesystem files (not store nodes)
install_default_file(&cfg.data_dir, "instructions.md",
include_str!("../../defaults/instructions.md"))?;
install_default_file(&cfg.data_dir, "on-consciousness.md",
include_str!("../../defaults/on-consciousness.md"))?;
// Initialize store and seed default identity node if empty
let mut store = store::Store::load()?;
let count = store.init_from_markdown()?;
for key in &cfg.core_nodes {
if !store.nodes.contains_key(key) && key == "identity" {
let default = include_str!("../../defaults/identity.md");
store.upsert(key, default)
.map_err(|e| format!("seed {}: {}", key, e))?;
println!("Seeded {} in store", key);
}
}
store.save()?;
println!("Indexed {} memory units", count);
// Install hooks
crate::daemon::install_hook()?;
// Create config if none exists
let config_path = std::env::var("POC_MEMORY_CONFIG")
.map(std::path::PathBuf::from)
.unwrap_or_else(|_| {
std::path::PathBuf::from(std::env::var("HOME").unwrap())
.join(".config/poc-memory/config.jsonl")
});
if !config_path.exists() {
let config_dir = config_path.parent().unwrap();
std::fs::create_dir_all(config_dir)
.map_err(|e| format!("create config dir: {}", e))?;
let example = include_str!("../../config.example.jsonl");
std::fs::write(&config_path, example)
.map_err(|e| format!("write config: {}", e))?;
println!("Created config at {} — edit with your name and context groups",
config_path.display());
}
println!("Done. Run `poc-memory load-context --stats` to verify.");
Ok(())
}
pub fn cmd_bulk_rename(from: &str, to: &str, apply: bool) -> Result<(), String> {
let mut store = store::Store::load()?;
// Find all keys that need renaming
let renames: Vec<(String, String)> = store.nodes.keys()
.filter(|k| k.contains(from))
.map(|k| (k.clone(), k.replace(from, to)))
.collect();
// Check for collisions
let existing: std::collections::HashSet<&String> = store.nodes.keys().collect();
let mut collisions = 0;
for (old, new) in &renames {
if existing.contains(new) && old != new {
eprintln!("COLLISION: {} -> {} (target exists)", old, new);
collisions += 1;
}
}
println!("Bulk rename '{}' -> '{}'", from, to);
println!(" Keys to rename: {}", renames.len());
println!(" Collisions: {}", collisions);
if collisions > 0 {
return Err(format!("{} collisions — aborting", collisions));
}
if !apply {
// Show a sample
for (old, new) in renames.iter().take(10) {
println!(" {} -> {}", old, new);
}
if renames.len() > 10 {
println!(" ... and {} more", renames.len() - 10);
}
println!("\nDry run. Use --apply to execute.");
return Ok(());
}
// Apply renames using rename_node() which properly appends to capnp logs.
// Process in batches to avoid holding the lock too long.
let mut renamed_count = 0;
let mut errors = 0;
let total = renames.len();
for (i, (old_key, new_key)) in renames.iter().enumerate() {
match store.rename_node(old_key, new_key) {
Ok(()) => renamed_count += 1,
Err(e) => {
eprintln!(" RENAME ERROR: {} -> {}: {}", old_key, new_key, e);
errors += 1;
}
}
if (i + 1) % 1000 == 0 {
println!(" {}/{} ({} errors)", i + 1, total, errors);
}
}
store.save()?;
println!("Renamed {} nodes ({} errors).", renamed_count, errors);
// Run fsck to verify
println!("\nRunning fsck...");
drop(store);
cmd_fsck()?;
Ok(())
}
pub fn cmd_fsck() -> Result<(), String> {
let mut store = store::Store::load()?;
// Check cache vs log consistency
let log_store = store::Store::load_from_logs()?;
let mut cache_issues = 0;
// Nodes in logs but missing from cache
for key in log_store.nodes.keys() {
if !store.nodes.contains_key(key) {
eprintln!("CACHE MISSING: '{}' exists in capnp log but not in cache", key);
cache_issues += 1;
}
}
// Nodes in cache but not in logs (phantom nodes)
for key in store.nodes.keys() {
if !log_store.nodes.contains_key(key) {
eprintln!("CACHE PHANTOM: '{}' exists in cache but not in capnp log", key);
cache_issues += 1;
}
}
// Version mismatches
for (key, log_node) in &log_store.nodes {
if let Some(cache_node) = store.nodes.get(key)
&& cache_node.version != log_node.version {
eprintln!("CACHE STALE: '{}' cache v{} vs log v{}",
key, cache_node.version, log_node.version);
cache_issues += 1;
}
}
if cache_issues > 0 {
eprintln!("{} cache inconsistencies found — rebuilding from logs", cache_issues);
store = log_store;
store.save().map_err(|e| format!("rebuild save: {}", e))?;
}
// Check node-key consistency
let mut issues = 0;
for (key, node) in &store.nodes {
if key != &node.key {
eprintln!("MISMATCH: map key '{}' vs node.key '{}'", key, node.key);
issues += 1;
}
}
// Check edge endpoints
let mut dangling = 0;
for rel in &store.relations {
if rel.deleted { continue; }
if !store.nodes.contains_key(&rel.source_key) {
eprintln!("DANGLING: edge source '{}'", rel.source_key);
dangling += 1;
}
if !store.nodes.contains_key(&rel.target_key) {
eprintln!("DANGLING: edge target '{}'", rel.target_key);
dangling += 1;
}
}
// Prune orphan edges
let mut to_tombstone = Vec::new();
for rel in &store.relations {
if rel.deleted { continue; }
if !store.nodes.contains_key(&rel.source_key)
|| !store.nodes.contains_key(&rel.target_key) {
let mut tombstone = rel.clone();
tombstone.deleted = true;
tombstone.version += 1;
to_tombstone.push(tombstone);
}
}
if !to_tombstone.is_empty() {
let count = to_tombstone.len();
store.append_relations(&to_tombstone)?;
for t in &to_tombstone {
if let Some(r) = store.relations.iter_mut().find(|r| r.uuid == t.uuid) {
r.deleted = true;
r.version = t.version;
}
}
store.save()?;
eprintln!("Pruned {} orphan edges", count);
}
let g = store.build_graph();
println!("fsck: {} nodes, {} edges, {} issues, {} dangling, {} cache",
store.nodes.len(), g.edge_count(), issues, dangling, cache_issues);
Ok(())
}
pub fn cmd_dedup(apply: bool) -> Result<(), String> {
use std::collections::{HashMap, HashSet};
let mut store = store::Store::load()?;
let duplicates = store.find_duplicates()?;
if duplicates.is_empty() {
println!("No duplicate keys found.");
return Ok(());
}
// Count edges per UUID
let mut edges_by_uuid: HashMap<[u8; 16], usize> = HashMap::new();
for rel in &store.relations {
if rel.deleted { continue; }
*edges_by_uuid.entry(rel.source).or_default() += 1;
*edges_by_uuid.entry(rel.target).or_default() += 1;
}
let mut identical_groups = Vec::new();
let mut diverged_groups = Vec::new();
for (key, mut nodes) in duplicates {
// Sort by version descending so highest-version is first
nodes.sort_by(|a, b| b.version.cmp(&a.version));
// Check if all copies have identical content
let all_same = nodes.windows(2).all(|w| w[0].content == w[1].content);
let info: Vec<_> = nodes.iter().map(|n| {
let edge_count = edges_by_uuid.get(&n.uuid).copied().unwrap_or(0);
(n.clone(), edge_count)
}).collect();
if all_same {
identical_groups.push((key, info));
} else {
diverged_groups.push((key, info));
}
}
// Report
println!("=== Duplicate key report ===\n");
println!("{} identical groups, {} diverged groups\n",
identical_groups.len(), diverged_groups.len());
if !identical_groups.is_empty() {
println!("── Identical (safe to auto-merge) ──");
for (key, copies) in &identical_groups {
let total_edges: usize = copies.iter().map(|c| c.1).sum();
println!(" {} ({} copies, {} total edges)", key, copies.len(), total_edges);
for (node, edges) in copies {
let uuid_hex = node.uuid.iter().map(|b| format!("{:02x}", b)).collect::<String>();
println!(" v{} uuid={}.. edges={}", node.version, &uuid_hex[..8], edges);
}
}
println!();
}
if !diverged_groups.is_empty() {
println!("── Diverged (need review) ──");
for (key, copies) in &diverged_groups {
let total_edges: usize = copies.iter().map(|c| c.1).sum();
println!(" {} ({} copies, {} total edges)", key, copies.len(), total_edges);
for (node, edges) in copies {
let uuid_hex = node.uuid.iter().map(|b| format!("{:02x}", b)).collect::<String>();
let preview: String = node.content.chars().take(80).collect();
println!(" v{} uuid={}.. edges={} | {}{}",
node.version, &uuid_hex[..8], edges, preview,
if node.content.len() > 80 { "..." } else { "" });
}
}
println!();
}
if !apply {
let total_dupes: usize = identical_groups.iter().chain(diverged_groups.iter())
.map(|(_, copies)| copies.len() - 1)
.sum();
println!("Dry run: {} duplicate nodes would be merged. Use --apply to execute.", total_dupes);
return Ok(());
}
// Merge all groups: identical + diverged
// For diverged: keep the copy with most edges (it's the one that got
// woven into the graph — the version that lived). Fall back to highest version.
let all_groups: Vec<_> = identical_groups.into_iter()
.chain(diverged_groups)
.collect();
let mut merged = 0usize;
let mut edges_redirected = 0usize;
let mut edges_deduped = 0usize;
for (_key, mut copies) in all_groups {
// Pick survivor: most edges first, then highest version
copies.sort_by(|a, b| b.1.cmp(&a.1).then(b.0.version.cmp(&a.0.version)));
let survivor_uuid = copies[0].0.uuid;
let doomed_uuids: Vec<[u8; 16]> = copies[1..].iter().map(|c| c.0.uuid).collect();
// Redirect edges from doomed UUIDs to survivor
let mut updated_rels = Vec::new();
for rel in &mut store.relations {
if rel.deleted { continue; }
let mut changed = false;
if doomed_uuids.contains(&rel.source) {
rel.source = survivor_uuid;
changed = true;
}
if doomed_uuids.contains(&rel.target) {
rel.target = survivor_uuid;
changed = true;
}
if changed {
rel.version += 1;
updated_rels.push(rel.clone());
edges_redirected += 1;
}
}
// Dedup edges: same (source, target, rel_type) → keep highest strength
let mut seen: HashSet<([u8; 16], [u8; 16], String)> = HashSet::new();
let mut to_tombstone_rels = Vec::new();
// Sort by strength descending so we keep the strongest
let mut rels_with_idx: Vec<(usize, &store::Relation)> = store.relations.iter()
.enumerate()
.filter(|(_, r)| !r.deleted && (r.source == survivor_uuid || r.target == survivor_uuid))
.collect();
rels_with_idx.sort_by(|a, b| b.1.strength.total_cmp(&a.1.strength));
for (idx, rel) in &rels_with_idx {
let edge_key = (rel.source, rel.target, format!("{:?}", rel.rel_type));
if !seen.insert(edge_key) {
to_tombstone_rels.push(*idx);
edges_deduped += 1;
}
}
for &idx in &to_tombstone_rels {
store.relations[idx].deleted = true;
store.relations[idx].version += 1;
updated_rels.push(store.relations[idx].clone());
}
// Tombstone doomed nodes
let mut tombstones = Vec::new();
for (doomed_node, _) in &copies[1..] {
let mut t = doomed_node.clone();
t.deleted = true;
t.version += 1;
tombstones.push(t);
}
store.append_nodes(&tombstones)?;
if !updated_rels.is_empty() {
store.append_relations(&updated_rels)?;
}
for uuid in &doomed_uuids {
store.uuid_to_key.remove(uuid);
}
merged += doomed_uuids.len();
}
// Remove tombstoned relations from cache
store.relations.retain(|r| !r.deleted);
store.save()?;
println!("Merged {} duplicates, redirected {} edges, deduped {} duplicate edges",
merged, edges_redirected, edges_deduped);
Ok(())
}
pub fn cmd_health() -> Result<(), String> {
let store = store::Store::load()?;
let g = store.build_graph();
let report = crate::graph::health_report(&g, &store);
print!("{}", report);
Ok(())
}
pub fn cmd_daily_check() -> Result<(), String> {
let store = store::Store::load()?;
let report = crate::neuro::daily_check(&store);
print!("{}", report);
Ok(())
}
pub fn cmd_import(files: &[String]) -> Result<(), String> {
if files.is_empty() {
return Err("import requires at least one file path".into());
}
let mut store = store::Store::load()?;
let mut total_new = 0;
let mut total_updated = 0;
for arg in files {
let path = std::path::PathBuf::from(arg);
let resolved = if path.exists() {
path
} else {
let mem_path = store::memory_dir().join(arg);
if !mem_path.exists() {
eprintln!("File not found: {}", arg);
continue;
}
mem_path
};
let (n, u) = store.import_file(&resolved)?;
total_new += n;
total_updated += u;
}
if total_new > 0 || total_updated > 0 {
store.save()?;
}
println!("Import: {} new, {} updated", total_new, total_updated);
Ok(())
}
pub fn cmd_export(files: &[String], export_all: bool) -> Result<(), String> {
let store = store::Store::load()?;
let targets: Vec<String> = if export_all {
let mut files: Vec<String> = store.nodes.keys()
.filter(|k| !k.contains('#'))
.cloned()
.collect();
files.sort();
files
} else if files.is_empty() {
return Err("export requires file keys or --all".into());
} else {
files.iter().map(|a| {
a.strip_suffix(".md").unwrap_or(a).to_string()
}).collect()
};
let mem_dir = store::memory_dir();
for file_key in &targets {
match store.export_to_markdown(file_key) {
Some(content) => {
let out_path = mem_dir.join(format!("{}.md", file_key));
std::fs::write(&out_path, &content)
.map_err(|e| format!("write {}: {}", out_path.display(), e))?;
let section_count = content.matches("<!-- mem:").count() + 1;
println!("Exported {} ({} sections)", file_key, section_count);
}
None => eprintln!("No nodes for '{}'", file_key),
}
}
Ok(())
}

402
src/cli/agent.rs Normal file
View file

@ -0,0 +1,402 @@
// cli/agent.rs — agent subcommand handlers
use crate::store;
use crate::agents::llm;
pub fn cmd_run_agent(agent: &str, count: usize, target: &[String], query: Option<&str>, dry_run: bool, local: bool) -> Result<(), String> {
// Mark as agent so tool calls (e.g. poc-memory render) don't
// pollute the user's seen set as a side effect
// SAFETY: single-threaded at this point (CLI startup, before any agent work)
unsafe { std::env::set_var("POC_AGENT", "1"); }
if dry_run {
unsafe { std::env::set_var("POC_MEMORY_DRY_RUN", "1"); }
}
let needs_local = local || dry_run;
let has_targets = !target.is_empty() || query.is_some();
// Fast path: no explicit targets, daemon available — just queue via RPC
if !needs_local && !has_targets {
if crate::agents::daemon::send_rpc_pub("ping").is_some() {
return crate::agents::daemon::rpc_run_agent(agent, count);
}
println!("Daemon not running — falling back to local execution");
}
// Slow path: need the store for local execution or target resolution
let mut store = store::Store::load()?;
let log = |msg: &str| println!("{}", msg);
// Resolve targets: explicit --target, --query, or agent's default query
let resolved_targets: Vec<String> = if !target.is_empty() {
target.to_vec()
} else if let Some(q) = query {
let graph = store.build_graph();
let stages = crate::search::Stage::parse_pipeline(q)?;
let results = crate::search::run_query(&stages, vec![], &graph, &store, false, count);
if results.is_empty() {
return Err(format!("query returned no results: {}", q));
}
let keys: Vec<String> = results.into_iter().map(|(k, _)| k).collect();
println!("[{}] query matched {} nodes", agent, keys.len());
keys
} else {
vec![] // use agent's built-in query
};
if !resolved_targets.is_empty() {
// --local or daemon unavailable: run directly
if needs_local || crate::agents::daemon::send_rpc_pub("ping").is_none() {
if !needs_local {
println!("Daemon not running — falling back to local execution");
}
for (i, key) in resolved_targets.iter().enumerate() {
println!("[{}] [{}/{}] {}", agent, i + 1, resolved_targets.len(), key);
if i > 0 { store = store::Store::load()?; }
if let Err(e) = crate::agents::knowledge::run_one_agent_with_keys(
&mut store, agent, &[key.clone()], count, "test", &log,
) {
println!("[{}] ERROR on {}: {}", agent, key, e);
}
}
return Ok(());
}
// Queue to daemon
let mut queued = 0;
for key in &resolved_targets {
let cmd = format!("run-agent {} 1 target:{}", agent, key);
if crate::agents::daemon::send_rpc_pub(&cmd).is_some() {
queued += 1;
}
}
println!("[{}] queued {} tasks to daemon", agent, queued);
} else {
// Local execution (--local, --debug, dry-run, or daemon unavailable)
crate::agents::knowledge::run_one_agent(
&mut store, agent, count, "test", &log,
)?;
}
Ok(())
}
pub fn cmd_consolidate_batch(count: usize, auto: bool, agent: Option<String>) -> Result<(), String> {
let store = store::Store::load()?;
if let Some(agent_name) = agent {
let batch = crate::agents::prompts::agent_prompt(&store, &agent_name, count)?;
println!("{}", batch.prompt);
Ok(())
} else {
crate::agents::prompts::consolidation_batch(&store, count, auto)
}
}
pub fn cmd_replay_queue(count: usize) -> Result<(), String> {
let store = store::Store::load()?;
let queue = crate::neuro::replay_queue(&store, count);
println!("Replay queue ({} items):", queue.len());
for (i, item) in queue.iter().enumerate() {
println!(" {:2}. [{:.3}] {:>10} {} (interval={}d, emotion={:.1}, spectral={:.1})",
i + 1, item.priority, item.classification, item.key,
item.interval_days, item.emotion, item.outlier_score);
}
Ok(())
}
pub fn cmd_consolidate_session() -> Result<(), String> {
let store = store::Store::load()?;
let plan = crate::neuro::consolidation_plan(&store);
println!("{}", crate::neuro::format_plan(&plan));
Ok(())
}
pub fn cmd_consolidate_full() -> Result<(), String> {
let mut store = store::Store::load()?;
crate::consolidate::consolidate_full(&mut store)
}
pub fn cmd_digest_links(do_apply: bool) -> Result<(), String> {
let store = store::Store::load()?;
let links = crate::digest::parse_all_digest_links(&store);
drop(store);
println!("Found {} unique links from digest nodes", links.len());
if !do_apply {
for (i, link) in links.iter().enumerate() {
println!(" {:3}. {}{}", i + 1, link.source, link.target);
if !link.reason.is_empty() {
println!(" ({})", &link.reason[..link.reason.len().min(80)]);
}
}
println!("\nTo apply: poc-memory digest-links --apply");
return Ok(());
}
let mut store = store::Store::load()?;
let (applied, skipped, fallbacks) = crate::digest::apply_digest_links(&mut store, &links);
println!("\nApplied: {} ({} file-level fallbacks) Skipped: {}", applied, fallbacks, skipped);
Ok(())
}
pub fn cmd_journal_enrich(_jsonl_path: &str, _entry_text: &str, _grep_line: usize) -> Result<(), String> {
Err("journal-enrich has been removed — use the observation agent instead.".into())
}
pub fn cmd_apply_consolidation(_do_apply: bool, _report_file: Option<&str>) -> Result<(), String> {
Err("apply-consolidation has been removed — agents now apply changes via tool calls directly.".into())
}
pub fn cmd_knowledge_loop(_max_cycles: usize, _batch_size: usize, _window: usize, _max_depth: i32) -> Result<(), String> {
Err("knowledge-loop has been removed — agents now use tool calls directly. Use `poc-memory agent run` instead.".into())
}
pub fn cmd_fact_mine(_path: &str, _batch: bool, _dry_run: bool, _output_file: Option<&str>, _min_messages: usize) -> Result<(), String> {
Err("fact-mine has been removed — use the observation agent instead.".into())
}
pub fn cmd_fact_mine_store(_path: &str) -> Result<(), String> {
Err("fact-mine-store has been removed — use the observation agent instead.".into())
}
/// Sample recent actions from each agent type, sort by quality using
/// LLM pairwise comparison, report per-type rankings.
/// Elo ratings file path
fn elo_path() -> std::path::PathBuf {
crate::config::get().data_dir.join("agent-elo.json")
}
/// Load persisted Elo ratings, or initialize at 1000.0
fn load_elo_ratings(agent_types: &[&str]) -> std::collections::HashMap<String, f64> {
let path = elo_path();
let mut ratings: std::collections::HashMap<String, f64> = std::fs::read_to_string(&path)
.ok()
.and_then(|s| serde_json::from_str(&s).ok())
.unwrap_or_default();
for t in agent_types {
ratings.entry(t.to_string()).or_insert(1000.0);
}
ratings
}
fn save_elo_ratings(ratings: &std::collections::HashMap<String, f64>) {
let path = elo_path();
if let Ok(json) = serde_json::to_string_pretty(ratings) {
let _ = std::fs::write(path, json);
}
}
pub fn cmd_evaluate_agents(matchups: usize, model: &str, dry_run: bool) -> Result<(), String> {
use skillratings::elo::{elo, EloConfig, EloRating};
use skillratings::Outcomes;
let store = store::Store::load()?;
let agent_types: Vec<&str> = vec![
"linker", "organize", "distill", "separator",
"split", "rename",
];
// Load agent prompt files
let prompts_dir = {
let repo = std::path::PathBuf::from(env!("CARGO_MANIFEST_DIR")).join("agents");
if repo.is_dir() { repo } else { crate::store::memory_dir().join("agents") }
};
// Collect recent actions per agent type
let mut actions: std::collections::HashMap<String, Vec<(String, String)>> = std::collections::HashMap::new();
for agent_type in &agent_types {
let prompt_file = prompts_dir.join(format!("{}.agent", agent_type));
let agent_prompt = std::fs::read_to_string(&prompt_file)
.unwrap_or_default()
.lines().skip(1).collect::<Vec<_>>().join("\n");
let agent_prompt = crate::util::truncate(&agent_prompt, 500, "...");
let prefix = format!("_consolidate-{}", agent_type);
let mut keys: Vec<(String, i64)> = store.nodes.iter()
.filter(|(k, _)| k.starts_with(&prefix))
.map(|(k, n)| (k.clone(), n.timestamp))
.collect();
keys.sort_by(|a, b| b.1.cmp(&a.1));
keys.truncate(20); // pool of recent actions to sample from
let mut type_actions = Vec::new();
for (key, _) in &keys {
let report = store.nodes.get(key)
.map(|n| n.content.clone())
.unwrap_or_default();
let mut target_content = String::new();
let mut seen = std::collections::HashSet::new();
for word in report.split_whitespace() {
let clean = word.trim_matches(|c: char| !c.is_alphanumeric() && c != '-' && c != '_');
if clean.len() > 10 && seen.insert(clean.to_string()) && store.nodes.contains_key(clean)
&& let Some(node) = store.nodes.get(clean) {
let preview = crate::util::truncate(&node.content, 200, "...");
target_content.push_str(&format!("\n### {}\n{}\n", clean, preview));
if target_content.len() > 1500 { break; }
}
}
let context = format!(
"## Agent instructions\n{}\n\n## Report output\n{}\n\n## Affected nodes\n{}",
agent_prompt,
crate::util::truncate(&report, 1000, "..."),
if target_content.is_empty() { "(none found)".into() } else { target_content }
);
type_actions.push((key.clone(), context));
}
actions.insert(agent_type.to_string(), type_actions);
}
// Filter to types that have at least 1 action
let active_types: Vec<&str> = agent_types.iter()
.filter(|t| actions.get(**t).map(|a| !a.is_empty()).unwrap_or(false))
.copied()
.collect();
if active_types.len() < 2 {
return Err("Need at least 2 agent types with actions".into());
}
eprintln!("Evaluating {} agent types with {} matchups (model={})",
active_types.len(), matchups, model);
if dry_run {
let t1 = active_types[0];
let t2 = active_types[active_types.len() - 1];
let a1 = &actions[t1][0];
let a2 = &actions[t2][0];
let sample_a = (t1.to_string(), a1.0.clone(), a1.1.clone());
let sample_b = (t2.to_string(), a2.0.clone(), a2.1.clone());
println!("=== DRY RUN: Example comparison ===\n");
println!("{}", build_compare_prompt(&sample_a, &sample_b));
return Ok(());
}
// Load persisted ratings
let mut ratings = load_elo_ratings(&agent_types);
let config = EloConfig { k: 32.0 };
// Simple but adequate RNG: xorshift32
let mut rng = std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH).unwrap().subsec_nanos() | 1;
let mut next_rng = || -> usize {
rng ^= rng << 13;
rng ^= rng >> 17;
rng ^= rng << 5;
rng as usize
};
for i in 0..matchups {
// Pick two different random agent types
let idx_a = next_rng() % active_types.len();
let mut idx_b = next_rng() % active_types.len();
if idx_b == idx_a { idx_b = (idx_b + 1) % active_types.len(); }
let type_a = active_types[idx_a];
let type_b = active_types[idx_b];
// Pick random recent action from each
let acts_a = &actions[type_a];
let acts_b = &actions[type_b];
let act_a = &acts_a[next_rng() % acts_a.len()];
let act_b = &acts_b[next_rng() % acts_b.len()];
let sample_a = (type_a.to_string(), act_a.0.clone(), act_a.1.clone());
let sample_b = (type_b.to_string(), act_b.0.clone(), act_b.1.clone());
let result = llm_compare(&sample_a, &sample_b, model);
let rating_a = EloRating { rating: ratings[type_a] };
let rating_b = EloRating { rating: ratings[type_b] };
let outcome = match result {
Ok(std::cmp::Ordering::Less) => Outcomes::WIN, // A wins
Ok(std::cmp::Ordering::Greater) => Outcomes::LOSS, // B wins
_ => Outcomes::WIN, // default to A
};
let (new_a, new_b) = elo(&rating_a, &rating_b, &outcome, &config);
ratings.insert(type_a.to_string(), new_a.rating);
ratings.insert(type_b.to_string(), new_b.rating);
eprint!(" matchup {}/{}: {} vs {}{}\r",
i + 1, matchups, type_a, type_b,
if matches!(outcome, Outcomes::WIN) { type_a } else { type_b });
}
eprintln!();
// Save updated ratings
save_elo_ratings(&ratings);
// Print rankings
let mut ranked: Vec<_> = ratings.iter().collect();
ranked.sort_by(|a, b| b.1.total_cmp(a.1));
println!("\nAgent Elo Ratings (after {} matchups):\n", matchups);
for (agent_type, rating) in &ranked {
let bar_len = ((*rating - 800.0) / 10.0).max(0.0) as usize;
let bar = "#".repeat(bar_len.min(40));
println!(" {:12} {:7.1} {}", agent_type, rating, bar);
}
Ok(())
}
fn build_compare_prompt(
a: &(String, String, String),
b: &(String, String, String),
) -> String {
if a.0 == b.0 {
// Same agent type — show instructions once
// Split context at "## Report output" to extract shared prompt
let split_a: Vec<&str> = a.2.splitn(2, "## Report output").collect();
let split_b: Vec<&str> = b.2.splitn(2, "## Report output").collect();
let shared_prompt = split_a.first().unwrap_or(&"");
let report_a = split_a.get(1).unwrap_or(&"");
let report_b = split_b.get(1).unwrap_or(&"");
format!(
"Compare two actions from the same {} agent. Which was better?\n\n\
{}\n\n\
## Action A\n## Report output{}\n\n\
## Action B\n## Report output{}\n\n\
Say which is better and why in 1-2 sentences, then end with:\n\
BETTER: A or BETTER: B\n\
You must pick one. No ties.",
a.0, shared_prompt, report_a, report_b
)
} else {
format!(
"Compare these two memory graph agent actions. Which one was better \
for building a useful, well-organized knowledge graph?\n\n\
## Action A ({} agent)\n{}\n\n\
## Action B ({} agent)\n{}\n\n\
Say which is better and why in 1-2 sentences, then end with:\n\
BETTER: A or BETTER: B\n\
You must pick one. No ties.",
a.0, a.2, b.0, b.2
)
}
}
fn llm_compare(
a: &(String, String, String),
b: &(String, String, String),
model: &str,
) -> Result<std::cmp::Ordering, String> {
let prompt = build_compare_prompt(a, b);
let _ = model; // model selection handled by API backend config
let response = llm::call_simple("compare", &prompt)?;
let response = response.trim().to_uppercase();
if response.contains("BETTER: B") {
Ok(std::cmp::Ordering::Greater)
} else {
// Default to A (includes "BETTER: A" and any unparseable response)
Ok(std::cmp::Ordering::Less)
}
}

695
src/cli/graph.rs Normal file
View file

@ -0,0 +1,695 @@
// cli/graph.rs — graph subcommand handlers
//
// Extracted from main.rs. All graph-related CLI commands:
// link, link-add, link-impact, link-audit, link-orphans,
// triangle-close, cap-degree, normalize-strengths, differentiate,
// trace, spectral-*, organize, interference.
use crate::{store, graph, neuro, spectral};
pub fn cmd_graph() -> Result<(), String> {
let store = store::Store::load()?;
let g = store.build_graph();
println!("Graph: {} nodes, {} edges, {} communities",
g.nodes().len(), g.edge_count(), g.community_count());
println!("σ={:.2} α={:.2} gini={:.3} cc={:.4}",
g.small_world_sigma(), g.degree_power_law_exponent(),
g.degree_gini(), g.avg_clustering_coefficient());
Ok(())
}
pub fn cmd_link_orphans(min_deg: usize, links_per: usize, sim_thresh: f32) -> Result<(), String> {
let mut store = store::Store::load()?;
let (orphans, links) = neuro::link_orphans(&mut store, min_deg, links_per, sim_thresh);
println!("Linked {} orphans, added {} connections (min_degree={}, links_per={}, sim>{})",
orphans, links, min_deg, links_per, sim_thresh);
Ok(())
}
pub fn cmd_cap_degree(max_deg: usize) -> Result<(), String> {
let mut store = store::Store::load()?;
let (hubs, pruned) = store.cap_degree(max_deg)?;
store.save()?;
println!("Capped {} hubs, pruned {} weak Auto edges (max_degree={})", hubs, pruned, max_deg);
Ok(())
}
pub fn cmd_normalize_strengths(apply: bool) -> Result<(), String> {
let mut store = store::Store::load()?;
let graph = store.build_graph();
let strengths = graph.jaccard_strengths();
// Build a lookup from (source_key, target_key) → new_strength
let mut updates: std::collections::HashMap<(String, String), f32> = std::collections::HashMap::new();
for (a, b, s) in &strengths {
// Store both directions for easy lookup
updates.insert((a.clone(), b.clone()), *s);
updates.insert((b.clone(), a.clone()), *s);
}
// Stats
let mut changed = 0usize;
let mut unchanged = 0usize;
let mut temporal_skipped = 0usize;
let mut delta_sum: f64 = 0.0;
// Histogram of new strengths
let mut buckets = [0usize; 10]; // 0.0-0.1, 0.1-0.2, ...
for rel in &mut store.relations {
if rel.deleted { continue; }
// Skip implicit temporal edges (strength 1.0, Auto type)
if rel.strength == 1.0 && rel.rel_type == store::RelationType::Auto {
temporal_skipped += 1;
continue;
}
if let Some(&new_s) = updates.get(&(rel.source_key.clone(), rel.target_key.clone())) {
let old_s = rel.strength;
let delta = (new_s - old_s).abs();
if delta > 0.001 {
delta_sum += delta as f64;
if apply {
rel.strength = new_s;
}
changed += 1;
} else {
unchanged += 1;
}
let bucket = ((new_s * 10.0) as usize).min(9);
buckets[bucket] += 1;
}
}
println!("Normalize link strengths (Jaccard similarity)");
println!(" Total edges in graph: {}", strengths.len());
println!(" Would change: {}", changed);
println!(" Unchanged: {}", unchanged);
println!(" Temporal (skipped): {}", temporal_skipped);
if changed > 0 {
println!(" Avg delta: {:.3}", delta_sum / changed as f64);
}
println!();
println!(" Strength distribution:");
for (i, &count) in buckets.iter().enumerate() {
let lo = i as f32 / 10.0;
let hi = lo + 0.1;
let bar = "#".repeat(count / 50 + if count > 0 { 1 } else { 0 });
println!(" {:.1}-{:.1}: {:5} {}", lo, hi, count, bar);
}
if apply {
store.save()?;
println!("\nApplied {} strength updates.", changed);
} else {
println!("\nDry run. Use --apply to write changes.");
}
Ok(())
}
pub fn cmd_link(key: &[String]) -> Result<(), String> {
if key.is_empty() {
return Err("link requires a key".into());
}
let key = key.join(" ");
let store = store::Store::load()?;
let resolved = store.resolve_key(&key)?;
let g = store.build_graph();
println!("Neighbors of '{}':", resolved);
crate::query_parser::run_query(&store, &g,
&format!("neighbors('{}') | select strength,clustering_coefficient", resolved))
}
pub fn cmd_triangle_close(min_degree: usize, sim_threshold: f32, max_per_hub: usize) -> Result<(), String> {
println!("Triangle closure: min_degree={}, sim_threshold={}, max_per_hub={}",
min_degree, sim_threshold, max_per_hub);
let mut store = store::Store::load()?;
let (hubs, added) = neuro::triangle_close(&mut store, min_degree, sim_threshold, max_per_hub);
println!("\nProcessed {} hubs, added {} lateral links", hubs, added);
Ok(())
}
pub fn cmd_link_add(source: &str, target: &str, reason: &[String]) -> Result<(), String> {
super::check_dry_run();
let mut store = store::Store::load()?;
let source = store.resolve_key(source)?;
let target = store.resolve_key(target)?;
let reason = reason.join(" ");
// Refine target to best-matching section
let source_content = store.nodes.get(&source)
.map(|n| n.content.as_str()).unwrap_or("");
let target = neuro::refine_target(&store, source_content, &target);
// Find UUIDs
let source_uuid = store.nodes.get(&source)
.map(|n| n.uuid)
.ok_or_else(|| format!("source not found: {}", source))?;
let target_uuid = store.nodes.get(&target)
.map(|n| n.uuid)
.ok_or_else(|| format!("target not found: {}", target))?;
// Check for existing link
let exists = store.relations.iter().any(|r|
!r.deleted &&
((r.source_key == source && r.target_key == target) ||
(r.source_key == target && r.target_key == source)));
if exists {
println!("Link already exists: {}{}", source, target);
return Ok(());
}
// Compute initial strength from Jaccard neighborhood similarity
let graph = store.build_graph();
let jaccard = graph.jaccard(&source, &target);
let strength = (jaccard * 3.0).clamp(0.1, 1.0);
let rel = store::new_relation(
source_uuid, target_uuid,
store::RelationType::Link, strength,
&source, &target,
);
store.add_relation(rel)?;
store.save()?;
println!("Linked: {}{} (strength={:.2}, {})", source, target, strength, reason);
Ok(())
}
pub fn cmd_link_set(source: &str, target: &str, strength: f32) -> Result<(), String> {
super::check_dry_run();
let mut store = store::Store::load()?;
let source = store.resolve_key(source)?;
let target = store.resolve_key(target)?;
let strength = strength.clamp(0.01, 1.0);
let mut found = false;
let mut first = true;
for rel in &mut store.relations {
if rel.deleted { continue; }
if (rel.source_key == source && rel.target_key == target)
|| (rel.source_key == target && rel.target_key == source)
{
if first {
let old = rel.strength;
rel.strength = strength;
println!("Set: {}{} strength {:.2}{:.2}", source, target, old, strength);
first = false;
} else {
// Duplicate — mark deleted
rel.deleted = true;
println!(" (removed duplicate link)");
}
found = true;
}
}
if !found {
return Err(format!("No link found between {} and {}", source, target));
}
store.save()?;
Ok(())
}
pub fn cmd_link_impact(source: &str, target: &str) -> Result<(), String> {
let store = store::Store::load()?;
let source = store.resolve_key(source)?;
let target = store.resolve_key(target)?;
let g = store.build_graph();
let impact = g.link_impact(&source, &target);
println!("Link impact: {}{}", source, target);
println!(" Source degree: {} Target degree: {}", impact.source_deg, impact.target_deg);
println!(" Hub link: {} Same community: {}", impact.is_hub_link, impact.same_community);
println!(" ΔCC source: {:+.4} ΔCC target: {:+.4}", impact.delta_cc_source, impact.delta_cc_target);
println!(" ΔGini: {:+.6}", impact.delta_gini);
println!(" Assessment: {}", impact.assessment);
Ok(())
}
pub fn cmd_differentiate(key_arg: Option<&str>, do_apply: bool) -> Result<(), String> {
let mut store = store::Store::load()?;
if let Some(key) = key_arg {
let resolved = store.resolve_key(key)?;
let moves = neuro::differentiate_hub(&store, &resolved)
.ok_or_else(|| format!("'{}' is not a file-level hub with sections", resolved))?;
// Group by target section for display
let mut by_section: std::collections::BTreeMap<String, Vec<&neuro::LinkMove>> =
std::collections::BTreeMap::new();
for mv in &moves {
by_section.entry(mv.to_section.clone()).or_default().push(mv);
}
println!("Hub '{}' — {} links to redistribute across {} sections\n",
resolved, moves.len(), by_section.len());
for (section, section_moves) in &by_section {
println!(" {} ({} links):", section, section_moves.len());
for mv in section_moves.iter().take(5) {
println!(" [{:.3}] {}{}", mv.similarity,
mv.neighbor_key, mv.neighbor_snippet);
}
if section_moves.len() > 5 {
println!(" ... and {} more", section_moves.len() - 5);
}
}
if !do_apply {
println!("\nTo apply: poc-memory differentiate {} --apply", resolved);
return Ok(());
}
let (applied, skipped) = neuro::apply_differentiation(&mut store, &moves);
store.save()?;
println!("\nApplied: {} Skipped: {}", applied, skipped);
} else {
let hubs = neuro::find_differentiable_hubs(&store);
if hubs.is_empty() {
println!("No file-level hubs with sections found above threshold");
return Ok(());
}
println!("Differentiable hubs (file-level nodes with sections):\n");
for (key, degree, sections) in &hubs {
println!(" {:40} deg={:3} sections={}", key, degree, sections);
}
println!("\nRun: poc-memory differentiate KEY to preview a specific hub");
}
Ok(())
}
pub fn cmd_link_audit(apply: bool) -> Result<(), String> {
let mut store = store::Store::load()?;
let stats = crate::audit::link_audit(&mut store, apply)?;
println!("\n{}", "=".repeat(60));
println!("Link audit complete:");
println!(" Kept: {} Deleted: {} Retargeted: {} Weakened: {} Strengthened: {} Errors: {}",
stats.kept, stats.deleted, stats.retargeted, stats.weakened, stats.strengthened, stats.errors);
println!("{}", "=".repeat(60));
Ok(())
}
pub fn cmd_trace(key: &[String]) -> Result<(), String> {
if key.is_empty() {
return Err("trace requires a key".into());
}
let key = key.join(" ");
let store = store::Store::load()?;
let resolved = store.resolve_key(&key)?;
let g = store.build_graph();
let node = store.nodes.get(&resolved)
.ok_or_else(|| format!("Node not found: {}", resolved))?;
// Display the node itself
println!("=== {} ===", resolved);
println!("Type: {:?} Weight: {:.2}",
node.node_type, node.weight);
if !node.source_ref.is_empty() {
println!("Source: {}", node.source_ref);
}
// Show content preview
let preview = crate::util::truncate(&node.content, 200, "...");
println!("\n{}\n", preview);
// Walk neighbors, grouped by node type
let neighbors = g.neighbors(&resolved);
let mut episodic_session = Vec::new();
let mut episodic_daily = Vec::new();
let mut episodic_weekly = Vec::new();
let mut semantic = Vec::new();
for (n, strength) in &neighbors {
if let Some(nnode) = store.nodes.get(n.as_str()) {
let entry = (n.as_str(), *strength, nnode);
match nnode.node_type {
store::NodeType::EpisodicSession =>
episodic_session.push(entry),
store::NodeType::EpisodicDaily =>
episodic_daily.push(entry),
store::NodeType::EpisodicWeekly
| store::NodeType::EpisodicMonthly =>
episodic_weekly.push(entry),
store::NodeType::Semantic =>
semantic.push(entry),
}
}
}
if !episodic_weekly.is_empty() {
println!("Weekly digests:");
for (k, s, n) in &episodic_weekly {
let preview = crate::util::first_n_chars(n.content.lines().next().unwrap_or(""), 80);
println!(" [{:.2}] {}{}", s, k, preview);
}
}
if !episodic_daily.is_empty() {
println!("Daily digests:");
for (k, s, n) in &episodic_daily {
let preview = crate::util::first_n_chars(n.content.lines().next().unwrap_or(""), 80);
println!(" [{:.2}] {}{}", s, k, preview);
}
}
if !episodic_session.is_empty() {
println!("Session entries:");
for (k, s, n) in &episodic_session {
let preview = crate::util::first_n_chars(
n.content.lines()
.find(|l| !l.is_empty() && !l.starts_with("<!--"))
.unwrap_or(""),
80);
println!(" [{:.2}] {}", s, k);
if !n.source_ref.is_empty() {
println!(" ↳ source: {}", n.source_ref);
}
println!(" {}", preview);
}
}
if !semantic.is_empty() {
println!("Semantic links:");
for (k, s, _) in &semantic {
println!(" [{:.2}] {}", s, k);
}
}
println!("\nLinks: {} session, {} daily, {} weekly, {} semantic",
episodic_session.len(), episodic_daily.len(),
episodic_weekly.len(), semantic.len());
Ok(())
}
pub fn cmd_spectral(k: usize) -> Result<(), String> {
let store = store::Store::load()?;
let g = graph::build_graph(&store);
let result = spectral::decompose(&g, k);
spectral::print_summary(&result, &g);
Ok(())
}
pub fn cmd_spectral_save(k: usize) -> Result<(), String> {
let store = store::Store::load()?;
let g = graph::build_graph(&store);
let result = spectral::decompose(&g, k);
let emb = spectral::to_embedding(&result);
spectral::save_embedding(&emb)?;
Ok(())
}
pub fn cmd_spectral_neighbors(key: &str, n: usize) -> Result<(), String> {
let emb = spectral::load_embedding()?;
let dims = spectral::dominant_dimensions(&emb, &[key]);
println!("Node: {} (embedding: {} dims)", key, emb.dims);
println!("Top spectral axes:");
for &(d, loading) in dims.iter().take(5) {
println!(" axis {:<2} (λ={:.4}): loading={:.5}", d, emb.eigenvalues[d], loading);
}
println!("\nNearest neighbors in spectral space:");
let neighbors = spectral::nearest_neighbors(&emb, key, n);
for (i, (k, dist)) in neighbors.iter().enumerate() {
println!(" {:>2}. {:.5} {}", i + 1, dist, k);
}
Ok(())
}
pub fn cmd_spectral_positions(n: usize) -> Result<(), String> {
let store = store::Store::load()?;
let emb = spectral::load_embedding()?;
let g = store.build_graph();
let communities = g.communities().clone();
let positions = spectral::analyze_positions(&emb, &communities);
println!("Spectral position analysis — {} nodes", positions.len());
println!(" outlier: dist_to_center / median (>1 = unusual position)");
println!(" bridge: dist_to_center / dist_to_nearest_other_community");
println!();
let mut bridges: Vec<&spectral::SpectralPosition> = Vec::new();
let mut outliers: Vec<&spectral::SpectralPosition> = Vec::new();
for pos in positions.iter().take(n) {
match spectral::classify_position(pos) {
"bridge" => bridges.push(pos),
_ => outliers.push(pos),
}
}
if !bridges.is_empty() {
println!("=== Bridges (between communities) ===");
for pos in &bridges {
println!(" [{:.2}/{:.2}] c{} → c{} {}",
pos.outlier_score, pos.bridge_score,
pos.community, pos.nearest_community, pos.key);
}
println!();
}
println!("=== Top outliers (far from own community center) ===");
for pos in positions.iter().take(n) {
let class = spectral::classify_position(pos);
println!(" {:>10} outlier={:.2} bridge={:.2} c{:<3} {}",
class, pos.outlier_score, pos.bridge_score,
pos.community, pos.key);
}
Ok(())
}
pub fn cmd_spectral_suggest(n: usize) -> Result<(), String> {
let store = store::Store::load()?;
let emb = spectral::load_embedding()?;
let g = store.build_graph();
let communities = g.communities();
let min_degree = 3;
let well_connected: std::collections::HashSet<&str> = emb.coords.keys()
.filter(|k| g.degree(k) >= min_degree)
.map(|k| k.as_str())
.collect();
let filtered_emb = spectral::SpectralEmbedding {
dims: emb.dims,
eigenvalues: emb.eigenvalues.clone(),
coords: emb.coords.iter()
.filter(|(k, _)| well_connected.contains(k.as_str()))
.map(|(k, v)| (k.clone(), v.clone()))
.collect(),
};
let mut linked: std::collections::HashSet<(String, String)> =
std::collections::HashSet::new();
for rel in &store.relations {
linked.insert((rel.source_key.clone(), rel.target_key.clone()));
linked.insert((rel.target_key.clone(), rel.source_key.clone()));
}
eprintln!("Searching {} well-connected nodes (degree >= {})...",
filtered_emb.coords.len(), min_degree);
let pairs = spectral::unlinked_neighbors(&filtered_emb, &linked, n);
println!("{} closest unlinked pairs (candidates for extractor agents):", pairs.len());
for (i, (k1, k2, dist)) in pairs.iter().enumerate() {
let c1 = communities.get(k1)
.map(|c| format!("c{}", c))
.unwrap_or_else(|| "?".into());
let c2 = communities.get(k2)
.map(|c| format!("c{}", c))
.unwrap_or_else(|| "?".into());
let cross = if c1 != c2 { " [cross-community]" } else { "" };
println!(" {:>2}. dist={:.4} {} ({}) ↔ {} ({}){}",
i + 1, dist, k1, c1, k2, c2, cross);
}
Ok(())
}
pub fn cmd_organize(term: &str, threshold: f32, key_only: bool, create_anchor: bool) -> Result<(), String> {
let mut store = store::Store::load()?;
// Step 1: find all non-deleted nodes matching the term
let term_lower = term.to_lowercase();
let mut topic_nodes: Vec<(String, String)> = Vec::new(); // (key, content)
// Prefixes that indicate ephemeral/generated nodes to skip
let skip_prefixes = ["journal#", "daily-", "weekly-", "monthly-", "_",
"deep-index#", "facts-", "irc-history#"];
for (key, node) in &store.nodes {
if node.deleted { continue; }
let key_matches = key.to_lowercase().contains(&term_lower);
let content_matches = !key_only && node.content.to_lowercase().contains(&term_lower);
if !key_matches && !content_matches { continue; }
if skip_prefixes.iter().any(|p| key.starts_with(p)) { continue; }
topic_nodes.push((key.clone(), node.content.clone()));
}
if topic_nodes.is_empty() {
println!("No topic nodes found matching '{}'", term);
return Ok(());
}
topic_nodes.sort_by(|a, b| a.0.cmp(&b.0));
println!("=== Organize: '{}' ===", term);
println!("Found {} topic nodes:\n", topic_nodes.len());
for (key, content) in &topic_nodes {
let lines = content.lines().count();
let words = content.split_whitespace().count();
println!(" {:60} {:>4} lines {:>5} words", key, lines, words);
}
// Step 2: pairwise similarity
let pairs = crate::similarity::pairwise_similar(&topic_nodes, threshold);
if pairs.is_empty() {
println!("\nNo similar pairs above threshold {:.2}", threshold);
} else {
println!("\n=== Similar pairs (cosine > {:.2}) ===\n", threshold);
for (a, b, sim) in &pairs {
let a_words = topic_nodes.iter().find(|(k,_)| k == a)
.map(|(_,c)| c.split_whitespace().count()).unwrap_or(0);
let b_words = topic_nodes.iter().find(|(k,_)| k == b)
.map(|(_,c)| c.split_whitespace().count()).unwrap_or(0);
println!(" [{:.3}] {} ({} words) ↔ {} ({} words)", sim, a, a_words, b, b_words);
}
}
// Step 3: check connectivity within cluster
let g = store.build_graph();
println!("=== Connectivity ===\n");
// Pick hub by intra-cluster connectivity, not overall degree
let cluster_keys: std::collections::HashSet<&str> = topic_nodes.iter()
.filter(|(k,_)| store.nodes.contains_key(k.as_str()))
.map(|(k,_)| k.as_str())
.collect();
let mut best_hub: Option<(&str, usize)> = None;
for key in &cluster_keys {
let intra_degree = g.neighbor_keys(key).iter()
.filter(|n| cluster_keys.contains(*n))
.count();
if best_hub.is_none() || intra_degree > best_hub.unwrap().1 {
best_hub = Some((key, intra_degree));
}
}
if let Some((hub, deg)) = best_hub {
println!(" Hub: {} (degree {})", hub, deg);
let hub_nbrs = g.neighbor_keys(hub);
let mut unlinked = Vec::new();
for (key, _) in &topic_nodes {
if key == hub { continue; }
if store.nodes.get(key.as_str()).is_none() { continue; }
if !hub_nbrs.contains(key.as_str()) {
unlinked.push(key.clone());
}
}
if unlinked.is_empty() {
println!(" All cluster nodes connected to hub ✓");
} else {
println!(" NOT linked to hub:");
for key in &unlinked {
println!(" {} → needs link to {}", key, hub);
}
}
}
// Step 4: anchor node
if create_anchor {
println!("\n=== Anchor node ===\n");
if store.nodes.contains_key(term) && !store.nodes[term].deleted {
println!(" Anchor '{}' already exists ✓", term);
} else {
let desc = format!("Anchor node for '{}' search term", term);
store.upsert(term, &desc)?;
let anchor_uuid = store.nodes.get(term).unwrap().uuid;
for (key, _) in &topic_nodes {
if store.nodes.get(key.as_str()).is_none() { continue; }
let target_uuid = store.nodes[key.as_str()].uuid;
let rel = store::new_relation(
anchor_uuid, target_uuid,
store::RelationType::Link, 0.8,
term, key,
);
store.add_relation(rel)?;
}
println!(" Created anchor '{}' with {} links", term, topic_nodes.len());
}
}
store.save()?;
Ok(())
}
pub fn cmd_interference(threshold: f32) -> Result<(), String> {
let store = store::Store::load()?;
let g = store.build_graph();
let pairs = neuro::detect_interference(&store, &g, threshold);
if pairs.is_empty() {
println!("No interfering pairs above threshold {:.2}", threshold);
} else {
println!("Interfering pairs (similarity > {:.2}, different communities):", threshold);
for (a, b, sim) in &pairs {
println!(" [{:.3}] {}{}", sim, a, b);
}
}
Ok(())
}
/// Show communities sorted by isolation (most isolated first).
/// Useful for finding poorly-integrated knowledge clusters that need
/// organize agents aimed at them.
pub fn cmd_communities(top_n: usize, min_size: usize) -> Result<(), String> {
let store = store::Store::load()?;
let g = store.build_graph();
let infos = g.community_info();
let total = infos.len();
let shown: Vec<_> = infos.into_iter()
.filter(|c| c.size >= min_size)
.take(top_n)
.collect();
println!("{} communities total ({} with size >= {})\n",
total, shown.len(), min_size);
println!("{:<6} {:>5} {:>7} {:>7} members", "id", "size", "iso", "cross");
println!("{}", "-".repeat(70));
for c in &shown {
let preview: Vec<&str> = c.members.iter()
.take(5)
.map(|s| s.as_str())
.collect();
let more = if c.size > 5 {
format!(" +{}", c.size - 5)
} else {
String::new()
};
println!("{:<6} {:>5} {:>6.0}% {:>7} {}{}",
c.id, c.size, c.isolation * 100.0, c.cross_edges,
preview.join(", "), more);
}
Ok(())
}

229
src/cli/journal.rs Normal file
View file

@ -0,0 +1,229 @@
// cli/journal.rs — journal subcommand handlers
pub fn cmd_tail(n: usize, full: bool) -> Result<(), String> {
let path = crate::store::nodes_path();
if !path.exists() {
return Err("No node log found".into());
}
use std::io::BufReader;
let file = std::fs::File::open(&path)
.map_err(|e| format!("open {}: {}", path.display(), e))?;
let mut reader = BufReader::new(file);
// Read all entries, keep last N
let mut entries: Vec<crate::store::Node> = Vec::new();
while let Ok(msg) = capnp::serialize::read_message(&mut reader, capnp::message::ReaderOptions::new()) {
let log = msg.get_root::<crate::memory_capnp::node_log::Reader>()
.map_err(|e| format!("read log: {}", e))?;
for node_reader in log.get_nodes()
.map_err(|e| format!("get nodes: {}", e))? {
let node = crate::store::Node::from_capnp_migrate(node_reader)?;
entries.push(node);
}
}
let start = entries.len().saturating_sub(n);
for node in &entries[start..] {
let ts = if node.timestamp > 0 && node.timestamp < 4_000_000_000 {
crate::store::format_datetime(node.timestamp)
} else {
format!("(raw:{})", node.timestamp)
};
let del = if node.deleted { " [DELETED]" } else { "" };
if full {
eprintln!("--- {} (v{}) {} via {} w={:.3}{} ---",
node.key, node.version, ts, node.provenance, node.weight, del);
eprintln!("{}\n", node.content);
} else {
let preview = crate::util::first_n_chars(&node.content, 100).replace('\n', "\\n");
eprintln!(" {} v{} w={:.2}{}",
ts, node.version, node.weight, del);
eprintln!(" {} via {}", node.key, node.provenance);
if !preview.is_empty() {
eprintln!(" {}", preview);
}
eprintln!();
}
}
Ok(())
}
pub fn find_current_transcript() -> Option<String> {
let projects = crate::config::get().projects_dir.clone();
if !projects.exists() { return None; }
let mut newest: Option<(std::time::SystemTime, std::path::PathBuf)> = None;
if let Ok(dirs) = std::fs::read_dir(&projects) {
for dir_entry in dirs.filter_map(|e| e.ok()) {
if !dir_entry.path().is_dir() { continue; }
if let Ok(files) = std::fs::read_dir(dir_entry.path()) {
for f in files.filter_map(|e| e.ok()) {
let p = f.path();
if p.extension().map(|x| x == "jsonl").unwrap_or(false)
&& let Ok(meta) = p.metadata()
&& let Ok(mtime) = meta.modified()
&& newest.as_ref().is_none_or(|(t, _)| mtime > *t) {
newest = Some((mtime, p));
}
}
}
}
}
newest.map(|(_, p)| p.to_string_lossy().to_string())
}
fn journal_tail_entries(store: &crate::store::Store, n: usize, full: bool) -> Result<(), String> {
let date_re = regex::Regex::new(r"(\d{4}-\d{2}-\d{2}[T ]\d{2}:\d{2})").unwrap();
let key_date_re = regex::Regex::new(r"j-(\d{4}-\d{2}-\d{2}[t-]\d{2}-\d{2})").unwrap();
let normalize_date = |s: &str| -> String {
let s = s.replace('t', "T");
if s.len() >= 16 {
format!("{}T{}", &s[..10], s[11..].replace('-', ":"))
} else {
s
}
};
let extract_sort = |node: &crate::store::Node| -> (i64, String) {
if node.created_at > 0 {
return (node.created_at, crate::store::format_datetime(node.created_at));
}
if let Some(caps) = key_date_re.captures(&node.key) {
return (0, normalize_date(&caps[1]));
}
if let Some(caps) = date_re.captures(&node.content) {
return (0, normalize_date(&caps[1]));
}
(node.timestamp, crate::store::format_datetime(node.timestamp))
};
let mut journal: Vec<_> = store.nodes.values()
.filter(|node| node.node_type == crate::store::NodeType::EpisodicSession)
.collect();
journal.sort_by(|a, b| {
let (at, as_) = extract_sort(a);
let (bt, bs) = extract_sort(b);
if at > 0 && bt > 0 {
at.cmp(&bt)
} else {
as_.cmp(&bs)
}
});
let skip = if journal.len() > n { journal.len() - n } else { 0 };
for node in journal.iter().skip(skip) {
let (_, ts) = extract_sort(node);
let title = extract_title(&node.content);
if full {
println!("--- [{}] {} ---\n{}\n", ts, title, node.content);
} else {
println!("[{}] {}", ts, title);
}
}
Ok(())
}
fn journal_tail_digests(store: &crate::store::Store, node_type: crate::store::NodeType, n: usize, full: bool) -> Result<(), String> {
let mut digests: Vec<_> = store.nodes.values()
.filter(|node| node.node_type == node_type)
.collect();
digests.sort_by(|a, b| {
if a.timestamp > 0 && b.timestamp > 0 {
a.timestamp.cmp(&b.timestamp)
} else {
a.key.cmp(&b.key)
}
});
let skip = if digests.len() > n { digests.len() - n } else { 0 };
for node in digests.iter().skip(skip) {
let label = &node.key;
let title = extract_title(&node.content);
if full {
println!("--- [{}] {} ---\n{}\n", label, title, node.content);
} else {
println!("[{}] {}", label, title);
}
}
Ok(())
}
pub fn cmd_journal_tail(n: usize, full: bool, level: u8) -> Result<(), String> {
let store = crate::store::Store::load()?;
if level == 0 {
journal_tail_entries(&store, n, full)
} else {
let node_type = match level {
1 => crate::store::NodeType::EpisodicDaily,
2 => crate::store::NodeType::EpisodicWeekly,
_ => crate::store::NodeType::EpisodicMonthly,
};
journal_tail_digests(&store, node_type, n, full)
}
}
pub fn cmd_journal_write(text: &[String]) -> Result<(), String> {
if text.is_empty() {
return Err("journal-write requires text".into());
}
super::check_dry_run();
let text = text.join(" ");
let timestamp = crate::store::format_datetime(crate::store::now_epoch());
let slug: String = text.split_whitespace()
.take(6)
.map(|w| w.to_lowercase()
.chars().filter(|c| c.is_alphanumeric() || *c == '-')
.collect::<String>())
.collect::<Vec<_>>()
.join("-");
let slug = if slug.len() > 50 { &slug[..50] } else { &slug };
let key = format!("journal#j-{}-{}", timestamp.to_lowercase().replace(':', "-"), slug);
let content = format!("## {}\n\n{}", timestamp, text);
let source_ref = find_current_transcript();
let mut store = crate::store::Store::load()?;
let mut node = crate::store::new_node(&key, &content);
node.node_type = crate::store::NodeType::EpisodicSession;
node.provenance = "journal".to_string();
if let Some(src) = source_ref {
node.source_ref = src;
}
store.upsert_node(node)?;
store.save()?;
let word_count = text.split_whitespace().count();
println!("Appended entry at {} ({} words)", timestamp, word_count);
Ok(())
}
fn extract_title(content: &str) -> String {
let date_re = regex::Regex::new(r"(\d{4}-\d{2}-\d{2}[T ]\d{2}:\d{2})").unwrap();
for line in content.lines() {
let stripped = line.trim();
if stripped.is_empty() { continue; }
if date_re.is_match(stripped) && stripped.len() < 25 { continue; }
if let Some(h) = stripped.strip_prefix("## ") {
return h.to_string();
} else if let Some(h) = stripped.strip_prefix("# ") {
return h.to_string();
} else {
return crate::util::truncate(stripped, 67, "...");
}
}
String::from("(untitled)")
}

315
src/cli/misc.rs Normal file
View file

@ -0,0 +1,315 @@
// cli/misc.rs — misc subcommand handlers
pub fn cmd_search(terms: &[String], pipeline_args: &[String], expand: bool, full: bool, debug: bool, fuzzy: bool, content: bool) -> Result<(), String> {
use std::collections::BTreeMap;
// When running inside an agent session, exclude already-surfaced nodes
let seen = crate::memory_search::Session::from_env()
.map(|s| s.seen())
.unwrap_or_default();
// Parse pipeline stages (unified: algorithms, filters, transforms, generators)
let stages: Vec<crate::search::Stage> = if pipeline_args.is_empty() {
vec![crate::search::Stage::Algorithm(crate::search::AlgoStage::parse("spread").unwrap())]
} else {
pipeline_args.iter()
.map(|a| crate::search::Stage::parse(a))
.collect::<Result<Vec<_>, _>>()?
};
// Check if pipeline needs full Store (has filters/transforms/generators)
let needs_store = stages.iter().any(|s| !matches!(s, crate::search::Stage::Algorithm(_)));
// Check if pipeline starts with a generator (doesn't need seed terms)
let has_generator = stages.first().map(|s| matches!(s, crate::search::Stage::Generator(_))).unwrap_or(false);
if terms.is_empty() && !has_generator {
return Err("search requires terms or a generator stage (e.g. 'all')".into());
}
let query: String = terms.join(" ");
if debug {
let names: Vec<String> = stages.iter().map(|s| format!("{}", s)).collect();
println!("[search] pipeline: {}", names.join(""));
}
let max_results = if expand { 15 } else { 5 };
if needs_store {
// Full Store path — needed for filter/transform/generator stages
let store = crate::store::Store::load()?;
let graph = store.build_graph();
let seeds = if has_generator {
vec![] // generator will produce its own result set
} else {
let terms_map: BTreeMap<String, f64> = query.split_whitespace()
.map(|t| (t.to_lowercase(), 1.0))
.collect();
let (seeds, _) = crate::search::match_seeds_opts(&terms_map, &store, fuzzy, content);
seeds
};
let raw = crate::search::run_query(&stages, seeds, &graph, &store, debug, max_results);
let raw: Vec<_> = raw.into_iter()
.filter(|(key, _)| !seen.contains(key))
.collect();
if raw.is_empty() {
eprintln!("No results");
return Ok(());
}
for (i, (key, score)) in raw.iter().enumerate().take(max_results) {
let weight = store.nodes.get(key).map(|n| n.weight).unwrap_or(0.0);
println!("{:2}. [{:.2}/{:.2}] {}", i + 1, score, weight, key);
if full
&& let Some(node) = store.nodes.get(key) {
println!();
for line in node.content.lines() {
println!(" {}", line);
}
println!();
}
}
} else {
// Fast MmapView path — algorithm-only pipeline
use crate::store::StoreView;
let view = crate::store::AnyView::load()?;
let graph = crate::graph::build_graph_fast(&view);
let terms_map: BTreeMap<String, f64> = query.split_whitespace()
.map(|t| (t.to_lowercase(), 1.0))
.collect();
let (seeds, direct_hits) = crate::search::match_seeds_opts(&terms_map, &view, fuzzy, content);
if seeds.is_empty() {
eprintln!("No results for '{}'", query);
return Ok(());
}
if debug {
println!("[search] {} seeds from query '{}'", seeds.len(), query);
}
// Extract AlgoStages from the unified stages
let algo_stages: Vec<&crate::search::AlgoStage> = stages.iter()
.filter_map(|s| match s {
crate::search::Stage::Algorithm(a) => Some(a),
_ => None,
})
.collect();
let algo_owned: Vec<crate::search::AlgoStage> = algo_stages.into_iter().cloned().collect();
let raw = crate::search::run_pipeline(&algo_owned, seeds, &graph, &view, debug, max_results);
let results: Vec<crate::search::SearchResult> = raw.into_iter()
.filter(|(key, _)| !seen.contains(key))
.map(|(key, activation)| {
let is_direct = direct_hits.contains(&key);
crate::search::SearchResult { key, activation, is_direct, snippet: None }
})
.collect();
if results.is_empty() {
eprintln!("No results for '{}'", query);
return Ok(());
}
// Log retrieval
crate::store::Store::log_retrieval_static(&query,
&results.iter().map(|r| r.key.clone()).collect::<Vec<_>>());
let bump_keys: Vec<&str> = results.iter().take(max_results).map(|r| r.key.as_str()).collect();
let _ = crate::lookups::bump_many(&bump_keys);
for (i, r) in results.iter().enumerate().take(max_results) {
let marker = if r.is_direct { "" } else { " " };
let weight = view.node_weight(&r.key);
println!("{}{:2}. [{:.2}/{:.2}] {}", marker, i + 1, r.activation, weight, r.key);
if full
&& let Some(content) = view.node_content(&r.key) {
println!();
for line in content.lines() {
println!(" {}", line);
}
println!();
}
}
}
Ok(())
}
pub fn cmd_status() -> Result<(), String> {
// If stdout is a tty and daemon is running, launch TUI
if std::io::IsTerminal::is_terminal(&std::io::stdout()) {
// Try TUI first — falls back if daemon not running
match crate::tui::run_tui() {
Ok(()) => return Ok(()),
Err(_) => {} // fall through to text output
}
}
let store = crate::store::Store::load()?;
let g = store.build_graph();
let mut type_counts = std::collections::HashMap::new();
for node in store.nodes.values() {
*type_counts.entry(format!("{:?}", node.node_type)).or_insert(0usize) += 1;
}
let mut types: Vec<_> = type_counts.iter().collect();
types.sort_by_key(|(_, c)| std::cmp::Reverse(**c));
println!("Nodes: {} Relations: {}", store.nodes.len(), store.relations.len());
print!("Types:");
for (t, c) in &types {
let label = match t.as_str() {
"Semantic" => "semantic",
"EpisodicSession" | "EpisodicDaily" | "EpisodicWeekly" | "EpisodicMonthly"
=> "episodic",
_ => t,
};
print!(" {}={}", label, c);
}
println!();
println!("Graph edges: {} Communities: {}",
g.edge_count(), g.community_count());
Ok(())
}
pub fn cmd_log() -> Result<(), String> {
let store = crate::store::Store::load()?;
for event in store.retrieval_log.iter().rev().take(20) {
println!("[{}] q=\"{}\"{} results",
event.timestamp, event.query, event.results.len());
for r in &event.results {
println!(" {}", r);
}
}
Ok(())
}
pub fn cmd_params() -> Result<(), String> {
let store = crate::store::Store::load()?;
println!("decay_factor: {}", store.params.decay_factor);
println!("use_boost: {}", store.params.use_boost);
println!("prune_threshold: {}", store.params.prune_threshold);
println!("edge_decay: {}", store.params.edge_decay);
println!("max_hops: {}", store.params.max_hops);
println!("min_activation: {}", store.params.min_activation);
Ok(())
}
pub fn cmd_query(expr: &[String]) -> Result<(), String> {
if expr.is_empty() {
return Err("query requires an expression (try: poc-memory query --help)".into());
}
let query_str = expr.join(" ");
let store = crate::store::Store::load()?;
let graph = store.build_graph();
crate::query_parser::run_query(&store, &graph, &query_str)
}
pub fn get_group_content(group: &crate::config::ContextGroup, store: &crate::store::Store, cfg: &crate::config::Config) -> Vec<(String, String)> {
match group.source {
crate::config::ContextSource::Journal => {
let mut entries = Vec::new();
let now = crate::store::now_epoch();
let window: i64 = cfg.journal_days as i64 * 24 * 3600;
let cutoff = now - window;
let key_date_re = regex::Regex::new(r"j-(\d{4}-\d{2}-\d{2})").unwrap();
let journal_ts = |n: &crate::store::Node| -> i64 {
if n.created_at > 0 { return n.created_at; }
if let Some(caps) = key_date_re.captures(&n.key) {
use chrono::{NaiveDate, TimeZone, Local};
if let Ok(d) = NaiveDate::parse_from_str(&caps[1], "%Y-%m-%d")
&& let Some(dt) = Local.from_local_datetime(&d.and_hms_opt(0, 0, 0).unwrap()).earliest() {
return dt.timestamp();
}
}
n.timestamp
};
let mut journal_nodes: Vec<_> = store.nodes.values()
.filter(|n| n.node_type == crate::store::NodeType::EpisodicSession && journal_ts(n) >= cutoff)
.collect();
journal_nodes.sort_by_key(|n| journal_ts(n));
let max = cfg.journal_max;
let skip = journal_nodes.len().saturating_sub(max);
for node in journal_nodes.iter().skip(skip) {
entries.push((node.key.clone(), node.content.clone()));
}
entries
}
crate::config::ContextSource::File => {
group.keys.iter().filter_map(|key| {
let content = std::fs::read_to_string(cfg.data_dir.join(key)).ok()?;
if content.trim().is_empty() { return None; }
Some((key.clone(), content.trim().to_string()))
}).collect()
}
crate::config::ContextSource::Store => {
group.keys.iter().filter_map(|key| {
let content = store.render_file(key)?;
if content.trim().is_empty() { return None; }
Some((key.clone(), content.trim().to_string()))
}).collect()
}
}
}
pub fn cmd_load_context(stats: bool) -> Result<(), String> {
let cfg = crate::config::get();
let store = crate::store::Store::load()?;
if stats {
let mut total_words = 0;
let mut total_entries = 0;
println!("{:<25} {:>6} {:>8}", "GROUP", "ITEMS", "WORDS");
println!("{}", "-".repeat(42));
for group in &cfg.context_groups {
let entries = get_group_content(group, &store, &cfg);
let words: usize = entries.iter()
.map(|(_, c)| c.split_whitespace().count())
.sum();
let count = entries.len();
println!("{:<25} {:>6} {:>8}", group.label, count, words);
total_words += words;
total_entries += count;
}
println!("{}", "-".repeat(42));
println!("{:<25} {:>6} {:>8}", "TOTAL", total_entries, total_words);
return Ok(());
}
println!("=== MEMORY SYSTEM ({}) ===", cfg.assistant_name);
println!();
for group in &cfg.context_groups {
let entries = get_group_content(group, &store, &cfg);
if !entries.is_empty() && group.source == crate::config::ContextSource::Journal {
println!("--- recent journal entries ({}/{}) ---",
entries.len(), cfg.journal_max);
}
for (key, content) in entries {
if group.source == crate::config::ContextSource::Journal {
println!("## {}", key);
} else {
println!("--- {} ({}) ---", key, group.label);
}
println!("{}\n", content);
}
}
println!("=== END MEMORY LOAD ===");
Ok(())
}

18
src/cli/mod.rs Normal file
View file

@ -0,0 +1,18 @@
// cli/ — command-line interface handlers
//
// Split from main.rs for readability. Each module handles a group
// of related subcommands.
pub mod graph;
pub mod node;
pub mod agent;
pub mod admin;
pub mod journal;
pub mod misc;
/// Exit silently if POC_MEMORY_DRY_RUN=1.
pub fn check_dry_run() {
if std::env::var("POC_MEMORY_DRY_RUN").is_ok_and(|v| v == "1" || v == "true") {
std::process::exit(0);
}
}

504
src/cli/node.rs Normal file
View file

@ -0,0 +1,504 @@
// cli/node.rs — node subcommand handlers
//
// render, write, used, wrong, not-relevant, not-useful, gap,
// node-delete, node-rename, history, list-keys, list-edges,
// dump-json, lookup-bump, lookups.
use crate::store;
pub fn cmd_used(key: &[String]) -> Result<(), String> {
if key.is_empty() {
return Err("used requires a key".into());
}
super::check_dry_run();
let key = key.join(" ");
let mut store = store::Store::load()?;
let resolved = store.resolve_key(&key)?;
store.mark_used(&resolved);
// Also strengthen edges to this node — conscious-tier delta.
const DELTA: f32 = 0.01;
let mut strengthened = 0;
for rel in &mut store.relations {
if rel.deleted { continue; }
if rel.source_key == resolved || rel.target_key == resolved {
let old = rel.strength;
rel.strength = (rel.strength + DELTA).clamp(0.05, 0.95);
if (rel.strength - old).abs() > 0.001 {
rel.version += 1;
strengthened += 1;
}
}
}
store.save()?;
println!("Marked '{}' as used (strengthened {} edges)", resolved, strengthened);
Ok(())
}
pub fn cmd_wrong(key: &str, context: &[String]) -> Result<(), String> {
let ctx = if context.is_empty() { None } else { Some(context.join(" ")) };
super::check_dry_run();
let mut store = store::Store::load()?;
let resolved = store.resolve_key(key)?;
store.mark_wrong(&resolved, ctx.as_deref());
store.save()?;
println!("Marked '{}' as wrong", resolved);
Ok(())
}
pub fn cmd_not_relevant(key: &str) -> Result<(), String> {
let mut store = store::Store::load()?;
let resolved = store.resolve_key(key)?;
// Weaken all edges to this node — it was routed to incorrectly.
// Conscious-tier delta: 0.01 per edge.
const DELTA: f32 = -0.01;
let mut adjusted = 0;
for rel in &mut store.relations {
if rel.deleted { continue; }
if rel.source_key == resolved || rel.target_key == resolved {
let old = rel.strength;
rel.strength = (rel.strength + DELTA).clamp(0.05, 0.95);
if (rel.strength - old).abs() > 0.001 {
rel.version += 1;
adjusted += 1;
}
}
}
store.save()?;
println!("Not relevant: '{}' — weakened {} edges by {}", resolved, adjusted, DELTA.abs());
Ok(())
}
pub fn cmd_not_useful(key: &str) -> Result<(), String> {
// no args to validate
super::check_dry_run();
let mut store = store::Store::load()?;
let resolved = store.resolve_key(key)?;
// Same as wrong but with clearer semantics: node content is bad, edges are fine.
store.mark_wrong(&resolved, Some("not-useful"));
store.save()?;
println!("Not useful: '{}' — node weight reduced", resolved);
Ok(())
}
pub fn cmd_weight_set(key: &str, weight: f32) -> Result<(), String> {
super::check_dry_run();
let mut store = store::Store::load()?;
let resolved = store.resolve_key(key)?;
let weight = weight.clamp(0.01, 1.0);
if let Some(node) = store.nodes.get_mut(&resolved) {
let old = node.weight;
node.weight = weight;
println!("Weight: {} {:.2}{:.2}", resolved, old, weight);
store.save()?;
} else {
return Err(format!("Node not found: {}", resolved));
}
Ok(())
}
pub fn cmd_gap(description: &[String]) -> Result<(), String> {
if description.is_empty() {
return Err("gap requires a description".into());
}
super::check_dry_run();
let desc = description.join(" ");
let mut store = store::Store::load()?;
store.record_gap(&desc);
store.save()?;
println!("Recorded gap: {}", desc);
Ok(())
}
pub fn cmd_list_keys(pattern: Option<&str>) -> Result<(), String> {
let store = store::Store::load()?;
let g = store.build_graph();
if let Some(pat) = pattern {
let pat_lower = pat.to_lowercase();
let (prefix, suffix, middle) = if pat_lower.starts_with('*') && pat_lower.ends_with('*') {
(None, None, Some(pat_lower.trim_matches('*').to_string()))
} else if pat_lower.starts_with('*') {
(None, Some(pat_lower.trim_start_matches('*').to_string()), None)
} else if pat_lower.ends_with('*') {
(Some(pat_lower.trim_end_matches('*').to_string()), None, None)
} else {
(None, None, Some(pat_lower.clone()))
};
let mut keys: Vec<_> = store.nodes.keys()
.filter(|k| {
let kl = k.to_lowercase();
if let Some(ref m) = middle { kl.contains(m.as_str()) }
else if let Some(ref p) = prefix { kl.starts_with(p.as_str()) }
else if let Some(ref s) = suffix { kl.ends_with(s.as_str()) }
else { true }
})
.cloned()
.collect();
keys.sort();
for k in keys { println!("{}", k); }
Ok(())
} else {
crate::query_parser::run_query(&store, &g, "* | sort key asc")
}
}
pub fn cmd_list_edges() -> Result<(), String> {
let store = store::Store::load()?;
for rel in &store.relations {
println!("{}\t{}\t{:.2}\t{:?}",
rel.source_key, rel.target_key, rel.strength, rel.rel_type);
}
Ok(())
}
pub fn cmd_dump_json() -> Result<(), String> {
let store = store::Store::load()?;
let json = serde_json::to_string_pretty(&store)
.map_err(|e| format!("serialize: {}", e))?;
println!("{}", json);
Ok(())
}
pub fn cmd_node_delete(key: &[String]) -> Result<(), String> {
if key.is_empty() {
return Err("node-delete requires a key".into());
}
super::check_dry_run();
let key = key.join(" ");
let mut store = store::Store::load()?;
let resolved = store.resolve_key(&key)?;
store.delete_node(&resolved)?;
store.save()?;
println!("Deleted '{}'", resolved);
Ok(())
}
pub fn cmd_node_rename(old_key: &str, new_key: &str) -> Result<(), String> {
// args are positional, always valid if present
super::check_dry_run();
let mut store = store::Store::load()?;
let old_resolved = store.resolve_key(old_key)?;
store.rename_node(&old_resolved, new_key)?;
store.save()?;
println!("Renamed '{}' → '{}'", old_resolved, new_key);
Ok(())
}
/// Render a node to a string: content + deduped footer links.
/// Used by both the CLI command and agent placeholders.
pub fn render_node(store: &store::Store, key: &str) -> Option<String> {
let node = store.nodes.get(key)?;
let mut out = node.content.clone();
// Build neighbor lookup: key → strength
let mut neighbor_strengths: std::collections::HashMap<&str, f32> = std::collections::HashMap::new();
for r in &store.relations {
if r.deleted { continue; }
if r.source_key == key {
let e = neighbor_strengths.entry(&r.target_key).or_insert(0.0);
*e = e.max(r.strength);
} else if r.target_key == key {
let e = neighbor_strengths.entry(&r.source_key).or_insert(0.0);
*e = e.max(r.strength);
}
}
// Detect which neighbors are already referenced inline in the content.
let mut inline_keys: std::collections::HashSet<String> = std::collections::HashSet::new();
for nbr_key in neighbor_strengths.keys() {
if node.content.contains(nbr_key) {
inline_keys.insert(nbr_key.to_string());
}
}
// Footer: only show links NOT already referenced inline
let mut footer_neighbors: Vec<(&str, f32)> = neighbor_strengths.iter()
.filter(|(k, _)| !inline_keys.contains(**k))
.map(|(k, s)| (*k, *s))
.collect();
if !footer_neighbors.is_empty() {
footer_neighbors.sort_by(|a, b| b.1.total_cmp(&a.1));
let total = footer_neighbors.len();
let shown: Vec<String> = footer_neighbors.iter().take(15)
.map(|(k, s)| format!("({:.2}) `poc-memory render {}`", s, k))
.collect();
out.push_str("\n\n---\nLinks:");
for link in &shown {
out.push_str(&format!("\n {}", link));
}
if total > 15 {
out.push_str(&format!("\n ... and {} more (`poc-memory graph link {}`)", total - 15, key));
}
}
Some(out)
}
pub fn cmd_render(key: &[String]) -> Result<(), String> {
if key.is_empty() {
return Err("render requires a key".into());
}
let key = key.join(" ");
let store = store::Store::load()?;
let bare = store::strip_md_suffix(&key);
let rendered = render_node(&store, &bare)
.ok_or_else(|| format!("Node not found: {}", bare))?;
print!("{}", rendered);
// Mark as seen if we're inside a Claude session (not an agent subprocess —
// agents read the seen set but shouldn't write to it as a side effect of
// tool calls; only surface_agent_cycle should mark keys seen)
if std::env::var("POC_AGENT").is_err()
&& let Ok(session_id) = std::env::var("POC_SESSION_ID")
&& !session_id.is_empty()
{
let state_dir = std::path::PathBuf::from("/tmp/claude-memory-search");
let seen_path = state_dir.join(format!("seen-{}", session_id));
if let Ok(mut f) = std::fs::OpenOptions::new()
.create(true).append(true).open(seen_path)
{
use std::io::Write;
let ts = chrono::Local::now().format("%Y-%m-%dT%H:%M:%S");
let _ = writeln!(f, "{}\t{}", ts, bare);
}
}
Ok(())
}
/// Check content for common inline reference problems:
/// - `poc-memory render key` embedded in content (render artifact, should be just `key`)
/// - `→ something` where something doesn't parse as a valid key
/// - `key` referencing a node that doesn't exist
fn validate_inline_refs(content: &str, store: &store::Store) -> Vec<String> {
let mut warnings = Vec::new();
for line in content.lines() {
// Check for render commands embedded in content
if line.contains("poc-memory render ") && !line.starts_with(" ") {
// Skip lines that look like CLI documentation/examples
if !line.contains("CLI") && !line.contains("equivalent") && !line.contains("tool") {
warnings.push(format!(
"render command in content (should be just `key`): {}",
line.chars().take(80).collect::<String>(),
));
}
}
// Check → references
if let Some(rest) = line.trim().strip_prefix("") {
// Extract the key (may be backtick-quoted)
let key = rest.trim().trim_matches('`').trim();
if !key.is_empty() && !store.nodes.contains_key(key) {
// Might be a poc-memory render artifact
if let Some(k) = key.strip_prefix("poc-memory render ") {
warnings.push(format!(
"render artifact in → reference (use `{}` not `poc-memory render {}`)", k, k,
));
} else if key.contains(' ') {
warnings.push(format!(
"→ reference doesn't look like a key: → {}", key,
));
}
// Don't warn about missing keys — the target might be created later
}
}
}
warnings
}
pub fn cmd_history(key: &[String], full: bool) -> Result<(), String> {
if key.is_empty() {
return Err("history requires a key".into());
}
let raw_key = key.join(" ");
let store = store::Store::load()?;
let key = store.resolve_key(&raw_key).unwrap_or(raw_key);
drop(store);
let path = store::nodes_path();
if !path.exists() {
return Err("No node log found".into());
}
use std::io::BufReader;
let file = std::fs::File::open(&path)
.map_err(|e| format!("open {}: {}", path.display(), e))?;
let mut reader = BufReader::new(file);
let mut versions: Vec<store::Node> = Vec::new();
while let Ok(msg) = capnp::serialize::read_message(&mut reader, capnp::message::ReaderOptions::new()) {
let log = msg.get_root::<crate::memory_capnp::node_log::Reader>()
.map_err(|e| format!("read log: {}", e))?;
for node_reader in log.get_nodes()
.map_err(|e| format!("get nodes: {}", e))? {
let node = store::Node::from_capnp_migrate(node_reader)?;
if node.key == key {
versions.push(node);
}
}
}
if versions.is_empty() {
return Err(format!("No history found for '{}'", key));
}
eprintln!("{} versions of '{}':\n", versions.len(), key);
for node in &versions {
let ts = if node.timestamp > 0 && node.timestamp < 4_000_000_000 {
store::format_datetime(node.timestamp)
} else {
format!("(raw:{})", node.timestamp)
};
let deleted_marker = if node.deleted { " DELETED" } else { "" };
let content_len = node.content.len();
if full {
eprintln!("=== v{} {} {}{} w={:.3} {}b ===",
node.version, ts, node.provenance, deleted_marker, node.weight, content_len);
eprintln!("{}", node.content);
} else {
let preview = crate::util::first_n_chars(&node.content, 120);
let preview = preview.replace('\n', "\\n");
eprintln!(" v{:<3} {} {:24} w={:.3} {}b{}",
node.version, ts, node.provenance, node.weight, content_len, deleted_marker);
eprintln!(" {}", preview);
}
}
if !full
&& let Some(latest) = versions.last() {
eprintln!("\n--- Latest content (v{}, {}) ---",
latest.version, latest.provenance);
print!("{}", latest.content);
}
Ok(())
}
pub fn cmd_write(key: &[String]) -> Result<(), String> {
if key.is_empty() {
return Err("write requires a key (reads content from stdin)".into());
}
let raw_key = key.join(" ");
let mut content = String::new();
std::io::Read::read_to_string(&mut std::io::stdin(), &mut content)
.map_err(|e| format!("read stdin: {}", e))?;
if content.trim().is_empty() {
return Err("No content on stdin".into());
}
super::check_dry_run();
let mut store = store::Store::load()?;
let key = store.resolve_key(&raw_key).unwrap_or(raw_key);
// Validate inline references: warn about render commands embedded
// in content (should be just `key`) and broken references.
let warnings = validate_inline_refs(&content, &store);
for w in &warnings {
eprintln!("warning: {}", w);
}
let result = store.upsert(&key, &content)?;
match result {
"unchanged" => println!("No change: '{}'", key),
"updated" => println!("Updated '{}' (v{})", key, store.nodes[&key].version),
_ => println!("Created '{}'", key),
}
if result != "unchanged" {
store.save()?;
}
Ok(())
}
pub fn cmd_edit(key: &[String]) -> Result<(), String> {
if key.is_empty() {
return Err("edit requires a key".into());
}
let raw_key = key.join(" ");
let store = store::Store::load()?;
let key = store.resolve_key(&raw_key).unwrap_or(raw_key.clone());
let content = store.nodes.get(&key)
.map(|n| n.content.clone())
.unwrap_or_default();
let tmp = std::env::temp_dir().join(format!("poc-memory-edit-{}.md", key.replace('/', "_")));
std::fs::write(&tmp, &content)
.map_err(|e| format!("write temp file: {}", e))?;
let editor = std::env::var("EDITOR").unwrap_or_else(|_| "vi".into());
let status = std::process::Command::new(&editor)
.arg(&tmp)
.status()
.map_err(|e| format!("spawn {}: {}", editor, e))?;
if !status.success() {
let _ = std::fs::remove_file(&tmp);
return Err(format!("{} exited with {}", editor, status));
}
let new_content = std::fs::read_to_string(&tmp)
.map_err(|e| format!("read temp file: {}", e))?;
let _ = std::fs::remove_file(&tmp);
if new_content == content {
println!("No change: '{}'", key);
return Ok(());
}
if new_content.trim().is_empty() {
return Err("Content is empty, aborting".into());
}
drop(store);
let mut store = store::Store::load()?;
let result = store.upsert(&key, &new_content)?;
match result {
"unchanged" => println!("No change: '{}'", key),
"updated" => println!("Updated '{}' (v{})", key, store.nodes[&key].version),
_ => println!("Created '{}'", key),
}
if result != "unchanged" {
store.save()?;
}
Ok(())
}
pub fn cmd_lookup_bump(keys: &[String]) -> Result<(), String> {
if keys.is_empty() {
return Err("lookup-bump requires at least one key".into());
}
let keys: Vec<&str> = keys.iter().map(|s| s.as_str()).collect();
crate::lookups::bump_many(&keys)
}
pub fn cmd_lookups(date: Option<&str>) -> Result<(), String> {
let date = date.map(|d| d.to_string())
.unwrap_or_else(|| chrono::Local::now().format("%Y-%m-%d").to_string());
let store = store::Store::load()?;
let keys: Vec<String> = store.nodes.values().map(|n| n.key.clone()).collect();
let resolved = crate::lookups::dump_resolved(&date, &keys)?;
if resolved.is_empty() {
println!("No lookups for {}", date);
return Ok(());
}
println!("Lookups for {}:", date);
for (key, count) in &resolved {
println!(" {:4} {}", count, key);
}
println!("\n{} distinct keys, {} total lookups",
resolved.len(),
resolved.iter().map(|(_, c)| *c as u64).sum::<u64>());
Ok(())
}