brainy/docs/guides/inspection.md
David Snelling 606445cd61 feat(8.0): API simplification — remove neural()/Db.search, one storage path key, integration→0
8.0 RC cleanup toward "one place per thing, zero-config, no deprecation":

- Remove the `brain.neural()` clustering namespace (ImprovedNeuralAPI + the dead
  legacy NeuralAPI + the neural CLI + neural-only types). Similarity is `find({vector})`
  / `similar({to})`; attribute grouping is the aggregation `GROUP BY` engine. The separate
  entity-extraction / smart-import feature (NeuralImport, NeuralEntityExtractor, SmartExtractor,
  NaturalLanguageProcessor, `brain.extract()`/`brain.nlp()`) is kept.
- Remove `Db.search()`; `find()` is the one query verb (accepts a bare string or FindParams).
  Fix the bundled MCP client, which called a non-existent `brain.search(query, limit)` →
  now `find({ query, limit })`.
- Storage config: collapse to one canonical top-level `path` key. The pre-8.0 aliases
  (`rootDirectory`, `options.*`, `fileSystemStorage.*`) are removed and now THROW with the
  exact rename instead of silently defaulting to `./brainy-data` on upgrade. A single resolver
  feeds createStorage, the 7.x→8.0 migration probe, and the plugin-factory handoff, so a native
  storage provider resolves the identical root (no split-brain).
- Fix `similar({ threshold })`: the min-similarity filter was silently dropped; it is now
  applied as a post-filter on `result.score` (the documented way to bound semantic results).
- Fix `vfs.rename()` on a directory: child path updates spread the entity vector into `update()`
  and failed dimension validation; they are metadata-only updates now.
- Fix `vfs.move()`: copy+delete orphaned the content-addressed content blob (the destination
  shared the source hash, then unlink removed it). `move()` now delegates to `rename()` — an
  in-place path change that preserves the blob and the entity id, for files and directories.
- Fix streaming import: the bulk fast path never flushed mid-import nor signalled queryability.
  Entity writes are now chunked by a progressive flush interval (100 → 1000 → 5000); each chunk
  flushes and emits `progress.queryable`, so imported data is queryable during the import.
- Sweep all docs, comments, and JSDoc for the removed/changed APIs.

Integration suite: 49 files / 588 passed / 0 failed. Unit: 80 files / 1456 passed, no type errors.
2026-06-20 13:31:11 -07:00

185 lines
5.8 KiB
Markdown

---
title: Inspecting a Live Brainy
slug: guides/inspection
public: true
category: guides
template: guide
order: 30
description: Operator recipes for diagnosing a running Brainy data directory — counts, queries, query plans, health checks, and snapshots — without stopping the live writer.
next:
- concepts/multi-process
---
# Inspecting a Live Brainy
When something is wrong in production, you need to see what's actually in the
store. This guide covers the safe ways to query a running Brainy directory.
## The cardinal rule
**Never open a second writer on the same directory.** Filesystem storage will throw, and any other write path will corrupt the live writer's state. Use `Brainy.openReadOnly()` or the `brainy inspect` CLI instead.
## The CLI is the fastest path
```bash
# What's in this brain?
brainy inspect stats /data/brain
# Find specific entities
brainy inspect find /data/brain --type Event --where '{"status":"paid"}' --limit 20
# Single entity by ID
brainy inspect get /data/brain 0b7a9...
# Why is this query returning empty?
brainy inspect explain /data/brain --where '{"entityType":"booking"}'
# Quick invariants
brainy inspect health /data/brain
# Random sample (no query needed)
brainy inspect sample /data/brain --type Event --n 20
# Tail new writes as they happen
brainy inspect watch /data/brain --type Event
# Save a snapshot
brainy inspect backup /data/brain /backups/brain-$(date +%Y%m%d).tar
```
Every subcommand internally:
1. Asks the live writer to flush via the cross-process RPC (skip with `--no-fresh`).
2. Opens the data directory via `Brainy.openReadOnly()`.
3. Runs the query.
4. Closes cleanly.
Results are JSON by default. Add `--pretty` for indented output.
## When a query returns surprising results
If `find()` returns `0` for a query you expect to match: run `inspect
explain` first. It shows which index path will serve each `where` clause:
```bash
$ brainy inspect explain /data/brain --where '{"entityType":"booking","status":"paid"}'
{
"query": { "where": { "entityType": "booking", "status": "paid" } },
"fieldPlan": [
{ "field": "entityType", "path": "none", "notes": "No index entries for field..." },
{ "field": "status", "path": "column-store", "notes": "O(log n) binary search..." }
],
"warnings": [
"Field \"entityType\" has no index entries. find() will return [] silently."
]
}
```
The `"path": "none"` is the smoking gun. It means the field has no column
store manifest and no sparse chunked index — so `find()` will return `[]`
regardless of what's actually on disk. Likely causes:
- The writer registered the field in memory but hasn't flushed. Run
`brain.requestFlush()` from the writer side, or use `brainy inspect
--fresh` (default).
- The field name has a typo or wrong casing.
- The field is genuinely absent from every entity.
## Health checks
`inspect health` runs a fixed battery of cheap invariant checks:
```bash
$ brainy inspect health /data/brain
{
"overall": "warn",
"checks": [
{ "name": "index-parity", "status": "pass", "message": "Vector (1851) and metadata (1851) agree." },
{ "name": "field-registry", "status": "pass", "message": "23 fields registered for 1851 entities." },
{ "name": "seeded-records", "status": "warn", "message": "15 entities tagged _seeded:true." },
{ "name": "writer-heartbeat", "status": "pass", "message": "Writer healthy (PID 1774431...)." }
]
}
```
Each check returns `pass`, `warn`, or `fail`. The exit code is `2` when any
check fails — useful for piping into monitoring or CI.
## Programmatic inspection
```typescript
import { Brainy } from '@soulcraft/brainy'
const reader = await Brainy.openReadOnly({
storage: { type: 'filesystem', path: '/data/brain' }
})
// Force the writer to flush before reading
await reader.requestFlush({ timeoutMs: 5000 })
// What's in there?
const stats = await reader.stats()
console.log(`${stats.entityCount} entities`, stats.entitiesByType)
// Why is this query empty?
const plan = await reader.explain({ where: { entityType: 'booking' } })
for (const f of plan.fieldPlan) {
console.log(`${f.field} -> ${f.path}`)
}
// Run invariants
const health = await reader.health()
console.log(health.overall)
await reader.close()
```
Every mutation method (`add`, `update`, `remove`, `relate`, `transact`,
`restore`, ...) throws on a read-only instance with a clear message.
## Backups
`brainy inspect backup` asks the writer to flush first, then tars the
directory. The snapshot reflects the writer's state at the moment of the
flush:
```bash
brainy inspect backup /data/brain /backups/brain-2026-05-15.tar
```
For periodic backups (hourly, daily), schedule this via cron or your
container scheduler. For point-in-time recovery, use the Db API's
`db.persist(path)` — a self-contained hard-link snapshot that later writes
can never alter, restorable with `brain.restore(path, { confirm: true })`.
See [Snapshots & Time Travel](./snapshots-and-time-travel.md).
## Comparing two stores
`brainy inspect diff` returns a JSON summary of counts and a sample of
entity IDs present in one but not the other. Useful when debugging
replication or migrations:
```bash
brainy inspect diff /data/brain-prod /data/brain-staging
```
Sample-based — for a full diff, dump both with `inspect dump` and compare
the JSONL.
## Repairing a corrupted store
If invariants fail and you suspect index corruption, `inspect repair`
opens the store in writer mode and rebuilds all indexes from raw storage.
**Stop the live writer first**`repair` will throw if another writer
holds the lock. Add `--force` only if you have personally verified the
existing lock is stale.
```bash
brainy inspect repair /data/brain
```
## Multi-process safety summary
See [concepts/multi-process](../concepts/multi-process.md) for the lock
semantics, heartbeat behavior, and what's not yet enforced on cloud
backends.