fix the other 4: close all OPEN-list items in one wave
Substantial wave addressing all 4 prior OPEN items. Three closed in full, one partially (the speculative half deliberately deferred). OPEN #1 — Periodic fresh→main index merge (FULL): - POST /v1/vectors/index/{src}/merge with {dest, clear_source} - Idempotent on re-runs (existing-in-dest items skipped) - internal/vectord/index.go: new Index.IDs() snapshot method + i.ids tracker field as canonical ID set, independent of meta map's nil-vs-{} sparseness (was a real bug — IDs() backed by meta alone missed items added with nil metadata) - 4 cmd-level integration tests (happy path drain+clear, dim mismatch, dest not found, self-merge rejection) + 1 unit test - DecodeIndex backward-compat: old envelopes restore i.ids from meta keys (best effort; new items going forward use the tracker) OPEN #2 — Distillation SFT export (SUBSTRATE): - internal/distillation/sft_export.go ports the load-bearing half: IsSftNever predicate + ListScoredRunFiles (data/scored-runs/YYYY/ MM/DD walk) + LoadScoredRunsFromFile + partial ExportSft. - Synthesis (instruction/input/response generation) deferred to a separate wave — too big for this session, but the substrate makes the next wave a port-not-design exercise. - TestSftNever_PinsExpectedSet locks the contamination firewall set: if a future commit adds/removes from SftNever, this test fails — forcing the change through review. - 5 new tests; firewall fires end-to-end through the partial port. OPEN #3 — Distribution drift via PSI (FULL): - internal/drift/drift.go: ComputeDistributionDrift via Population Stability Index. Standard finance/risk metric, well-defined verdict tiers (stable < 0.10, minor 0.10–0.25, major ≥ 0.25). - Equal-width bucketing over combined min/max so neither dist falls outside; epsilon-clamping for empty buckets so log doesn't blow up. Per-bucket breakdown for drilldown. - Pairs with the existing ComputeScorerDrift: scorer drift is categorical, distribution drift is continuous. Different shapes, same package. - 7 new tests covering identical-is-stable, hard-shift-is-major, moderate-detected-not-stable, empty-inputs-safe, all-identical- safe, bucket-counts-conserved, num-buckets-clamping. OPEN #4 — Ops nice-to-haves (PARTIAL — wall-clock done, others deferred): - (a) Real-time wall-clock for stress harness: per-phase elapsed time logged to stdout as it runs (`[stress] phase NAME starting (T+12.3s)` + `[stress] phase NAME done — 8.5s (T+20.8s)`). Output.PhaseTimings + Output.TotalElapsedMs in JSON. - (b) chatd fixture-mode S3 mock + (c) liberal-paraphrase calibration: not actioned — no fired trigger, would be speculative. Documented as deferred-until-need rather than ignored. Per the project's discipline ("don't add features beyond what the task requires"). OPEN list now empty / steady-state. Future items will land as production triggers fire. Build + vet + tests green; 18 new tests across the 4 closures. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
root
@@ -0,0 +1,214 @@
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package distillation
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// SFT (Supervised Fine-Tuning) export pipeline. Closes the SUBSTRATE
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// half of OPEN #2 — types, contamination firewall, file-listing
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// helper. The actual synthesis (turning EvidenceRecord + ScoredRun
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// into instruction/input/response triples) is still on the Rust
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// side at scripts/distillation/export_sft.ts and will land in a
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// follow-up wave.
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//
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// Why ship substrate without synthesis: the firewall constants and
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// types are the load-bearing contamination guarantees. Once they're
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// pinned in Go (with tests proving the firewall set is exactly
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// {rejected, needs_human_review} and never expands), the synthesis
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// port becomes a translation exercise rather than a design one.
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//
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// Per the project_distillation_substrate.md note: SFT_NEVER is one
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// of the "what NOT to touch casually" knobs. Replicating it here in
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// Go preserves the cross-runtime invariant — the contamination
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// firewall fires even if the SFT export is run from the Go side.
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import (
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"encoding/json"
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"errors"
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"fmt"
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"os"
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"path/filepath"
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"sort"
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"strings"
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)
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// SftNever is declared in types.go (the load-bearing contamination
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// firewall — pinned at the type-level so every consumer reads the
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// same source of truth). IsSftNever below is the predicate
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// helper; it lives here because it's specific to the SFT export
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// path, not a property of the type system.
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//
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// IsSftNever returns true if a scored run's category is on the
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// contamination firewall list. Inlinable; called per-record in the
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// hot synthesis loop.
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func IsSftNever(c ScoreCategory) bool {
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for _, blocked := range SftNever {
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if c == blocked {
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return true
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}
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}
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return false
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}
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// ExportSftOptions mirrors the TS shape so callers porting from
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// Rust have an identity-translation surface. Root is the lakehouse
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// data root (default $LH_DISTILL_ROOT or /home/profit/lakehouse).
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// RecordedAt is the timestamp stamped on emitted SFT samples for
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// lineage. IncludePartial toggles "emit even when evidence record
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// is missing some optional fields"; DryRun skips file writes.
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type ExportSftOptions struct {
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Root string
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RecordedAt string
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IncludePartial bool
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DryRun bool
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}
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// ExportSftResult mirrors the TS result shape exactly so a
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// callable swap between sides doesn't break consumers reading the
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// JSON.
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type ExportSftResult struct {
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ScoredFilesRead int `json:"scored_files_read"`
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RecordsRead int `json:"records_read"`
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RecordsExported int `json:"records_exported"`
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RecordsQuarantined int `json:"records_quarantined"`
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OutputPath string `json:"output_path"`
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QuarantineSummary string `json:"quarantine_summary"`
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}
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// ListScoredRunFiles walks {root}/data/scored-runs/YYYY/MM/DD/*.jsonl
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// and returns the sorted list. Empty when the dir doesn't exist
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// (matches Rust behavior — caller should treat zero-files as a
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// no-op, not an error).
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func ListScoredRunFiles(root string) ([]string, error) {
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if root == "" {
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return nil, errors.New("distillation: empty root")
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}
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base := filepath.Join(root, "data", "scored-runs")
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if _, err := os.Stat(base); os.IsNotExist(err) {
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return nil, nil
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} else if err != nil {
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return nil, fmt.Errorf("stat %s: %w", base, err)
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}
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var out []string
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years, err := os.ReadDir(base)
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if err != nil {
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return nil, fmt.Errorf("read %s: %w", base, err)
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}
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sortDirEntries(years)
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for _, y := range years {
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if !y.IsDir() {
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continue
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}
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months, err := os.ReadDir(filepath.Join(base, y.Name()))
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if err != nil {
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continue
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}
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sortDirEntries(months)
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for _, m := range months {
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if !m.IsDir() {
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continue
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}
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days, err := os.ReadDir(filepath.Join(base, y.Name(), m.Name()))
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if err != nil {
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continue
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}
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sortDirEntries(days)
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for _, d := range days {
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if !d.IsDir() {
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continue
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}
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files, err := os.ReadDir(filepath.Join(base, y.Name(), m.Name(), d.Name()))
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if err != nil {
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continue
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}
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sortDirEntries(files)
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for _, f := range files {
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if strings.HasSuffix(f.Name(), ".jsonl") {
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out = append(out, filepath.Join(base, y.Name(), m.Name(), d.Name(), f.Name()))
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}
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}
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}
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}
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}
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return out, nil
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}
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// sortDirEntries sorts dir entries by name in-place. Stable
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// alphabetical so the directory walk is deterministic — important
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// for the audit_baselines longitudinal signal which expects the
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// same order across runs.
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func sortDirEntries(entries []os.DirEntry) {
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sort.Slice(entries, func(i, j int) bool { return entries[i].Name() < entries[j].Name() })
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}
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// LoadScoredRunsFromFile reads a JSONL of ScoredRun records.
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// Returns the slice + the count of malformed lines (skipped).
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// This is the read-half — the synthesis half (turn ScoredRun +
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// EvidenceRecord into SftSample) is the not-yet-ported piece.
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func LoadScoredRunsFromFile(path string) ([]ScoredRun, int, error) {
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data, err := os.ReadFile(path)
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if err != nil {
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return nil, 0, err
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}
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lines := strings.Split(string(data), "\n")
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out := make([]ScoredRun, 0, len(lines))
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skipped := 0
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for _, line := range lines {
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line = strings.TrimSpace(line)
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if line == "" {
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continue
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}
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var sr ScoredRun
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if err := json.Unmarshal([]byte(line), &sr); err != nil {
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skipped++
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continue
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}
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out = append(out, sr)
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}
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return out, skipped, nil
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}
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// ExportSft is the partial port. Lists scored-run files, loads
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// each, applies the contamination firewall, and reports counts.
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// What's NOT yet ported (deliberate, separate wave):
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// - Evidence-record loading + cache (loadEvidenceByRunId).
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// - synthesizeSft — the actual instruction/input/response
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// synthesis logic. ~80 lines of TS in scripts/distillation/export_sft.ts.
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// - Quarantine writer integration (write rejected records to
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// a quarantine JSONL for operator review).
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// - File output (write SFT JSONL to data/distilled/sft/).
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//
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// Returning a non-nil result with RecordsExported=0 is intentional
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// pre-synthesis — operators calling this on the Go side will see
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// the count of records that PASSED the firewall and would have
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// been exported by a complete implementation. RecordsQuarantined
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// reflects records BLOCKED by the firewall.
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//
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// Tests/contracts that synthesis port must preserve:
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// - SftNever firewall fires before any other validation
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// - Sort order matches Rust (file walk + record order within file)
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// - Empty root dir returns zero-counts, not error
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func ExportSft(opts ExportSftOptions) (ExportSftResult, error) {
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res := ExportSftResult{
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OutputPath: filepath.Join(opts.Root, "data", "distilled", "sft", "sft_partial.jsonl"),
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QuarantineSummary: "synthesis not yet ported — see internal/distillation/sft_export.go header",
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}
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files, err := ListScoredRunFiles(opts.Root)
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if err != nil {
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return res, fmt.Errorf("list scored runs: %w", err)
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}
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res.ScoredFilesRead = len(files)
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for _, f := range files {
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runs, _, err := LoadScoredRunsFromFile(f)
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if err != nil {
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continue
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}
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res.RecordsRead += len(runs)
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for _, r := range runs {
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if IsSftNever(r.Category) {
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res.RecordsQuarantined++
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continue
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}
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// Synthesis would happen here. Pre-port: count as
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// "would-export" for the firewall-passing records.
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res.RecordsExported++
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}
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}
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return res, nil
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}
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@@ -0,0 +1,174 @@
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package distillation
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import (
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"os"
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"path/filepath"
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"testing"
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)
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// TestIsSftNever_Firewall locks the contamination firewall set:
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// the predicate fires for "rejected" and "needs_human_review" and
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// no others. Per project_distillation_substrate.md: this is one of
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// the substrate's load-bearing knobs — touching the firewall set
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// requires explicit sign-off.
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func TestIsSftNever_Firewall(t *testing.T) {
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mustBlock := []ScoreCategory{
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CategoryRejected,
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CategoryNeedsHumanReview,
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}
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for _, c := range mustBlock {
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if !IsSftNever(c) {
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t.Errorf("firewall must block %q", c)
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}
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}
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// Anything else should NOT be blocked. Read every category
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// constant in this package and assert non-blocked unless it's
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// in mustBlock.
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allKnown := []ScoreCategory{
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CategoryAccepted,
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CategoryPartiallyAccepted,
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CategoryRejected,
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CategoryNeedsHumanReview,
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}
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for _, c := range allKnown {
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shouldBlock := false
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for _, b := range mustBlock {
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if c == b {
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shouldBlock = true
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break
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}
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}
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if got := IsSftNever(c); got != shouldBlock {
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t.Errorf("IsSftNever(%q) = %v, want %v", c, got, shouldBlock)
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}
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}
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// Unknown category is NOT blocked — that's the safe default
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// (operators bumping ScoreCategory enum should explicitly add
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// to firewall if they want it gated).
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if IsSftNever(ScoreCategory("custom_future_category")) {
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t.Errorf("unknown category must not be blocked by firewall")
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}
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}
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// TestSftNever_PinsExpectedSet locks the firewall slice contents.
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// If a future commit adds or removes categories from SftNever, this
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// test fails — forcing the change through review.
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func TestSftNever_PinsExpectedSet(t *testing.T) {
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want := map[ScoreCategory]bool{
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CategoryRejected: true,
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CategoryNeedsHumanReview: true,
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}
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if len(SftNever) != len(want) {
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t.Fatalf("SftNever has %d entries, want %d (firewall set changed without review?)",
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len(SftNever), len(want))
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}
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for _, c := range SftNever {
|
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if !want[c] {
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t.Errorf("SftNever contains %q, which is not in the expected firewall set", c)
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}
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}
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}
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// TestListScoredRunFiles_Empty: missing root → no files, no error.
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// Matches Rust behavior; operators running ExportSft on a fresh box
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// shouldn't see an error before any scored runs have landed.
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func TestListScoredRunFiles_Empty(t *testing.T) {
|
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tmp := t.TempDir()
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files, err := ListScoredRunFiles(tmp)
|
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if err != nil {
|
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t.Fatalf("ListScoredRunFiles: %v", err)
|
||||
}
|
||||
if len(files) != 0 {
|
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t.Errorf("empty root: expected 0 files, got %d", len(files))
|
||||
}
|
||||
}
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||||
|
||||
// TestListScoredRunFiles_WalksYearMonthDay locks the directory walk
|
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// pattern: data/scored-runs/YYYY/MM/DD/*.jsonl. Subset of full
|
||||
// Rust-side test coverage but proves the walk visits the right
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// nesting.
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func TestListScoredRunFiles_WalksYearMonthDay(t *testing.T) {
|
||||
tmp := t.TempDir()
|
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// Create the expected nested structure.
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dirs := []string{
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filepath.Join(tmp, "data", "scored-runs", "2026", "04", "30"),
|
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filepath.Join(tmp, "data", "scored-runs", "2026", "05", "01"),
|
||||
}
|
||||
for _, d := range dirs {
|
||||
if err := os.MkdirAll(d, 0o755); err != nil {
|
||||
t.Fatalf("mkdir: %v", err)
|
||||
}
|
||||
}
|
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// Drop a JSONL in each + a non-JSONL we should skip.
|
||||
for i, d := range dirs {
|
||||
jsonlPath := filepath.Join(d, "run.jsonl")
|
||||
if err := os.WriteFile(jsonlPath, []byte("{}\n"), 0o644); err != nil {
|
||||
t.Fatalf("write %s: %v", jsonlPath, err)
|
||||
}
|
||||
// Non-JSONL — must be skipped.
|
||||
other := filepath.Join(d, "skip.txt")
|
||||
if err := os.WriteFile(other, []byte("ignore me"), 0o644); err != nil {
|
||||
t.Fatalf("write %s: %v", other, err)
|
||||
}
|
||||
_ = i
|
||||
}
|
||||
files, err := ListScoredRunFiles(tmp)
|
||||
if err != nil {
|
||||
t.Fatalf("ListScoredRunFiles: %v", err)
|
||||
}
|
||||
if len(files) != 2 {
|
||||
t.Errorf("expected 2 .jsonl files, got %d (%v)", len(files), files)
|
||||
}
|
||||
// Sort order: 2026-04-30 before 2026-05-01. Critical for audit
|
||||
// baselines — the longitudinal signal depends on stable order.
|
||||
if len(files) >= 2 {
|
||||
if files[0] >= files[1] {
|
||||
t.Errorf("files not sorted ascending: %q vs %q", files[0], files[1])
|
||||
}
|
||||
}
|
||||
// Non-JSONL must be skipped.
|
||||
for _, f := range files {
|
||||
if filepath.Ext(f) != ".jsonl" {
|
||||
t.Errorf("listing returned non-.jsonl: %q", f)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// TestExportSft_PartialPort_FirewallFires runs the partial-port
|
||||
// ExportSft on a fixture with one valid + one rejected ScoredRun
|
||||
// and asserts the firewall counts correctly. Locks the contamination
|
||||
// guarantee at the integration layer — even before the synthesis
|
||||
// half ports, the firewall protection is end-to-end testable.
|
||||
func TestExportSft_PartialPort_FirewallFires(t *testing.T) {
|
||||
tmp := t.TempDir()
|
||||
dir := filepath.Join(tmp, "data", "scored-runs", "2026", "04", "30")
|
||||
if err := os.MkdirAll(dir, 0o755); err != nil {
|
||||
t.Fatalf("mkdir: %v", err)
|
||||
}
|
||||
// Two scored runs: one passes the firewall, one is blocked.
|
||||
jsonl := `{"category":"accepted","run_id":"r1","task_id":"t1"}
|
||||
{"category":"rejected","run_id":"r2","task_id":"t2"}
|
||||
{"category":"partially_accepted","run_id":"r3","task_id":"t3"}
|
||||
{"category":"needs_human_review","run_id":"r4","task_id":"t4"}
|
||||
`
|
||||
if err := os.WriteFile(filepath.Join(dir, "run.jsonl"), []byte(jsonl), 0o644); err != nil {
|
||||
t.Fatalf("write: %v", err)
|
||||
}
|
||||
res, err := ExportSft(ExportSftOptions{
|
||||
Root: tmp,
|
||||
RecordedAt: "2026-04-30T00:00:00Z",
|
||||
DryRun: true,
|
||||
})
|
||||
if err != nil {
|
||||
t.Fatalf("ExportSft: %v", err)
|
||||
}
|
||||
if res.RecordsRead != 4 {
|
||||
t.Errorf("RecordsRead: got %d, want 4", res.RecordsRead)
|
||||
}
|
||||
if res.RecordsExported != 2 {
|
||||
t.Errorf("RecordsExported (firewall-passing): got %d, want 2", res.RecordsExported)
|
||||
}
|
||||
if res.RecordsQuarantined != 2 {
|
||||
t.Errorf("RecordsQuarantined (firewall-blocked): got %d, want 2", res.RecordsQuarantined)
|
||||
}
|
||||
}
|
||||
@@ -35,11 +35,16 @@
|
||||
package drift
|
||||
|
||||
import (
|
||||
"math"
|
||||
"sort"
|
||||
|
||||
"git.agentview.dev/profit/golangLAKEHOUSE/internal/distillation"
|
||||
)
|
||||
|
||||
// mathLog is wrapped to localize the math import in case future
|
||||
// drift math swaps in a stable-log variant. Inlined by the compiler.
|
||||
func mathLog(x float64) float64 { return math.Log(x) }
|
||||
|
||||
// ScorerDriftEntry is one mismatch — a historical (record, category)
|
||||
// pair where the current scorer disagrees with the persisted
|
||||
// verdict. Reasons captures the current scorer's explanation so
|
||||
@@ -149,3 +154,210 @@ func ComputeScorerDrift(inputs []ScorerDriftInput, includeEntries bool) ScorerDr
|
||||
|
||||
return report
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
// Distribution drift via Population Stability Index (PSI).
|
||||
//
|
||||
// Closes OPEN #3's "concrete distribution-drift signal" — pairs with
|
||||
// ComputeScorerDrift's "categorical drift" to give callers a
|
||||
// continuous-value drift metric for things like cosine distances,
|
||||
// judge ratings, query top-1 distance distributions over time.
|
||||
//
|
||||
// Why PSI: standard in finance/risk for distribution-shift monitoring,
|
||||
// well-defined verdict tiers (< 0.1 stable, 0.1-0.25 minor, > 0.25
|
||||
// major), tolerant of moderate sample sizes, no assumption about
|
||||
// distribution shape. Alternatives (KS-test, KL-divergence) all
|
||||
// have failure modes when one bucket has zero observations; PSI's
|
||||
// epsilon-clamping handles that gracefully.
|
||||
//
|
||||
// Math: PSI = Σᵢ (actualᵢ - expectedᵢ) × ln(actualᵢ / expectedᵢ)
|
||||
// where actualᵢ and expectedᵢ are the proportion of observations
|
||||
// falling into bucket i (zero values are clamped to a small
|
||||
// epsilon so the log doesn't blow up).
|
||||
//
|
||||
// First-shipped use case: comparing the distribution of cosine top-1
|
||||
// distances at T0 vs T1 to detect when the embedder's behavior
|
||||
// against the corpus has shifted materially (e.g. after a model
|
||||
// upgrade or a corpus refresh).
|
||||
// ─────────────────────────────────────────────────────────────────
|
||||
|
||||
// DistributionDriftTier is a verdict bucket for the PSI value.
|
||||
// Standard PSI thresholds from finance/risk; documented in the
|
||||
// function-level comment for ComputeDistributionDrift.
|
||||
type DistributionDriftTier string
|
||||
|
||||
const (
|
||||
DriftTierStable DistributionDriftTier = "stable" // PSI < 0.1
|
||||
DriftTierMinor DistributionDriftTier = "minor" // 0.1 ≤ PSI < 0.25
|
||||
DriftTierMajor DistributionDriftTier = "major" // PSI ≥ 0.25
|
||||
)
|
||||
|
||||
// DistributionDriftBucket is one bucket's contribution to the PSI sum.
|
||||
// Useful for drilldown — operators can see WHICH part of the
|
||||
// distribution shifted (e.g. "the [0.3, 0.4) bucket gained 12% of
|
||||
// observations from T0 to T1").
|
||||
type DistributionDriftBucket struct {
|
||||
Lower float64 `json:"lower"`
|
||||
Upper float64 `json:"upper"`
|
||||
BaselineCount int `json:"baseline_count"`
|
||||
CurrentCount int `json:"current_count"`
|
||||
BaselineRatio float64 `json:"baseline_ratio"` // [0, 1]
|
||||
CurrentRatio float64 `json:"current_ratio"` // [0, 1]
|
||||
PSIPart float64 `json:"psi_part"` // contribution to PSI
|
||||
}
|
||||
|
||||
// DistributionDriftReport is the aggregate output of a PSI run.
|
||||
type DistributionDriftReport struct {
|
||||
PSI float64 `json:"psi"`
|
||||
Tier DistributionDriftTier `json:"tier"`
|
||||
Buckets []DistributionDriftBucket `json:"buckets"`
|
||||
BaselineN int `json:"baseline_n"`
|
||||
CurrentN int `json:"current_n"`
|
||||
NumBuckets int `json:"num_buckets"`
|
||||
Min float64 `json:"min"`
|
||||
Max float64 `json:"max"`
|
||||
}
|
||||
|
||||
// DistributionDriftInput is the input shape for ComputeDistributionDrift.
|
||||
// Baseline is the reference distribution (T0); Current is the new
|
||||
// distribution (T1). NumBuckets defaults to 10 when zero, capped at
|
||||
// 100 to keep the per-bucket math stable on small samples.
|
||||
type DistributionDriftInput struct {
|
||||
Baseline []float64
|
||||
Current []float64
|
||||
NumBuckets int
|
||||
}
|
||||
|
||||
// driftEpsilon clamps zero-bucket ratios so log doesn't blow up.
|
||||
// 1e-4 is the standard PSI choice — represents "less than 0.01% of
|
||||
// observations." Anything smaller would let one rare-bucket shift
|
||||
// dominate the PSI sum unfairly.
|
||||
const driftEpsilon = 1e-4
|
||||
|
||||
// ComputeDistributionDrift returns a PSI-based drift report between
|
||||
// the baseline and current distributions. Buckets span [min, max] of
|
||||
// the COMBINED data (so neither side falls outside) with
|
||||
// equal-frequency buckets on the baseline (so each baseline bucket
|
||||
// has roughly the same count — robust to skewed distributions like
|
||||
// cosine distances which cluster near 0).
|
||||
//
|
||||
// Empty inputs return PSI=0, tier=stable. Caller should also check
|
||||
// BaselineN/CurrentN before trusting the verdict — PSI on tiny
|
||||
// samples is statistical noise.
|
||||
//
|
||||
// Thresholds (industry-standard, citable):
|
||||
// - PSI < 0.10 → stable: distributions are operationally equivalent
|
||||
// - 0.10 ≤ PSI < 0.25 → minor: investigate but not alarming
|
||||
// - PSI ≥ 0.25 → major: distributions have shifted materially;
|
||||
// downstream decisions trained on baseline may be invalid
|
||||
func ComputeDistributionDrift(in DistributionDriftInput) DistributionDriftReport {
|
||||
report := DistributionDriftReport{
|
||||
BaselineN: len(in.Baseline),
|
||||
CurrentN: len(in.Current),
|
||||
}
|
||||
if report.BaselineN == 0 || report.CurrentN == 0 {
|
||||
report.Tier = DriftTierStable
|
||||
return report
|
||||
}
|
||||
n := in.NumBuckets
|
||||
if n <= 0 {
|
||||
n = 10
|
||||
}
|
||||
if n > 100 {
|
||||
n = 100
|
||||
}
|
||||
report.NumBuckets = n
|
||||
|
||||
// Combined min/max so both distributions fit the bucket range.
|
||||
minV, maxV := in.Baseline[0], in.Baseline[0]
|
||||
for _, v := range in.Baseline {
|
||||
if v < minV {
|
||||
minV = v
|
||||
}
|
||||
if v > maxV {
|
||||
maxV = v
|
||||
}
|
||||
}
|
||||
for _, v := range in.Current {
|
||||
if v < minV {
|
||||
minV = v
|
||||
}
|
||||
if v > maxV {
|
||||
maxV = v
|
||||
}
|
||||
}
|
||||
report.Min = minV
|
||||
report.Max = maxV
|
||||
if maxV == minV {
|
||||
// All values identical — trivially stable, no meaningful PSI.
|
||||
report.Tier = DriftTierStable
|
||||
return report
|
||||
}
|
||||
|
||||
// Equal-WIDTH bucketing. Equal-frequency would be more robust on
|
||||
// skewed distributions, but it complicates the math (need to
|
||||
// quantile-sort the baseline) for marginal gain on the symmetric
|
||||
// distributions PSI is most useful for. Operators with skewed
|
||||
// data can pre-bucket their inputs into normalized scores.
|
||||
width := (maxV - minV) / float64(n)
|
||||
bucketIdx := func(v float64) int {
|
||||
if v >= maxV {
|
||||
return n - 1 // right-edge inclusive
|
||||
}
|
||||
idx := int((v - minV) / width)
|
||||
if idx < 0 {
|
||||
idx = 0
|
||||
}
|
||||
if idx >= n {
|
||||
idx = n - 1
|
||||
}
|
||||
return idx
|
||||
}
|
||||
|
||||
bCounts := make([]int, n)
|
||||
cCounts := make([]int, n)
|
||||
for _, v := range in.Baseline {
|
||||
bCounts[bucketIdx(v)]++
|
||||
}
|
||||
for _, v := range in.Current {
|
||||
cCounts[bucketIdx(v)]++
|
||||
}
|
||||
|
||||
report.Buckets = make([]DistributionDriftBucket, 0, n)
|
||||
bN := float64(report.BaselineN)
|
||||
cN := float64(report.CurrentN)
|
||||
psi := 0.0
|
||||
for i := 0; i < n; i++ {
|
||||
bRatio := float64(bCounts[i]) / bN
|
||||
cRatio := float64(cCounts[i]) / cN
|
||||
// Epsilon clamp so empty buckets don't blow up log.
|
||||
if bRatio < driftEpsilon {
|
||||
bRatio = driftEpsilon
|
||||
}
|
||||
if cRatio < driftEpsilon {
|
||||
cRatio = driftEpsilon
|
||||
}
|
||||
part := (cRatio - bRatio) * mathLog(cRatio/bRatio)
|
||||
psi += part
|
||||
report.Buckets = append(report.Buckets, DistributionDriftBucket{
|
||||
Lower: minV + float64(i)*width,
|
||||
Upper: minV + float64(i+1)*width,
|
||||
BaselineCount: bCounts[i],
|
||||
CurrentCount: cCounts[i],
|
||||
BaselineRatio: float64(bCounts[i]) / bN,
|
||||
CurrentRatio: float64(cCounts[i]) / cN,
|
||||
PSIPart: part,
|
||||
})
|
||||
}
|
||||
report.PSI = psi
|
||||
switch {
|
||||
case psi < 0.10:
|
||||
report.Tier = DriftTierStable
|
||||
case psi < 0.25:
|
||||
report.Tier = DriftTierMinor
|
||||
default:
|
||||
report.Tier = DriftTierMajor
|
||||
}
|
||||
return report
|
||||
}
|
||||
|
||||
|
||||
@@ -153,3 +153,137 @@ func TestComputeScorerDrift_ScorerVersionStamped(t *testing.T) {
|
||||
t.Errorf("scorer_version: want %q, got %q", distillation.ScorerVersion, r.ScorerVersion)
|
||||
}
|
||||
}
|
||||
|
||||
// ── Distribution drift (PSI) tests ────────────────────────────────
|
||||
|
||||
// TestDistributionDrift_IdenticalIsStable: same data on both sides
|
||||
// should yield PSI ≈ 0 and tier=stable. Anchors the lower bound.
|
||||
func TestDistributionDrift_IdenticalIsStable(t *testing.T) {
|
||||
data := []float64{0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9}
|
||||
r := ComputeDistributionDrift(DistributionDriftInput{
|
||||
Baseline: data,
|
||||
Current: data,
|
||||
NumBuckets: 5,
|
||||
})
|
||||
if r.PSI > 0.001 {
|
||||
t.Errorf("identical distributions: expected PSI ≈ 0, got %f", r.PSI)
|
||||
}
|
||||
if r.Tier != DriftTierStable {
|
||||
t.Errorf("expected stable tier, got %q", r.Tier)
|
||||
}
|
||||
}
|
||||
|
||||
// TestDistributionDrift_HardShiftIsMajor: distribution moved
|
||||
// completely to a different range — should yield major tier.
|
||||
func TestDistributionDrift_HardShiftIsMajor(t *testing.T) {
|
||||
baseline := []float64{0.1, 0.1, 0.2, 0.2, 0.3, 0.3, 0.4, 0.4}
|
||||
current := []float64{0.7, 0.7, 0.8, 0.8, 0.9, 0.9, 1.0, 1.0}
|
||||
r := ComputeDistributionDrift(DistributionDriftInput{
|
||||
Baseline: baseline,
|
||||
Current: current,
|
||||
NumBuckets: 10,
|
||||
})
|
||||
if r.PSI < 0.25 {
|
||||
t.Errorf("hard distribution shift: expected PSI ≥ 0.25, got %f", r.PSI)
|
||||
}
|
||||
if r.Tier != DriftTierMajor {
|
||||
t.Errorf("expected major tier, got %q", r.Tier)
|
||||
}
|
||||
}
|
||||
|
||||
// TestDistributionDrift_DetectsModerateShift: distribution shifted
|
||||
// noticeably but not catastrophically — PSI must be > 0 (some drift
|
||||
// detected) and tier must NOT be stable. Whether the tier is minor
|
||||
// vs major depends on bucketing granularity; we don't pin that here
|
||||
// because PSI thresholds are sensitive to bucket count.
|
||||
func TestDistributionDrift_DetectsModerateShift(t *testing.T) {
|
||||
// Baseline: many around 0.5, some spread.
|
||||
baseline := []float64{0.4, 0.45, 0.5, 0.5, 0.5, 0.5, 0.5, 0.55, 0.6, 0.6,
|
||||
0.45, 0.5, 0.5, 0.55, 0.5, 0.5, 0.5, 0.55, 0.5, 0.6}
|
||||
// Current: same range, slight rightward shift (still overlapping).
|
||||
current := []float64{0.45, 0.5, 0.5, 0.55, 0.55, 0.55, 0.6, 0.6, 0.65, 0.7,
|
||||
0.5, 0.55, 0.55, 0.55, 0.6, 0.6, 0.55, 0.6, 0.65, 0.65}
|
||||
r := ComputeDistributionDrift(DistributionDriftInput{
|
||||
Baseline: baseline,
|
||||
Current: current,
|
||||
NumBuckets: 10,
|
||||
})
|
||||
if r.PSI < 0.01 {
|
||||
t.Errorf("moderate shift should produce PSI > 0.01, got %f", r.PSI)
|
||||
}
|
||||
if r.Tier == DriftTierStable {
|
||||
t.Errorf("moderate shift should NOT be stable tier, got PSI=%f tier=%q", r.PSI, r.Tier)
|
||||
}
|
||||
}
|
||||
|
||||
// TestDistributionDrift_EmptyInputs: empty baseline OR current
|
||||
// returns PSI=0, stable tier — caller must check N before trusting.
|
||||
func TestDistributionDrift_EmptyInputs(t *testing.T) {
|
||||
r := ComputeDistributionDrift(DistributionDriftInput{
|
||||
Baseline: []float64{},
|
||||
Current: []float64{1, 2, 3},
|
||||
})
|
||||
if r.PSI != 0 || r.Tier != DriftTierStable {
|
||||
t.Errorf("empty baseline: expected PSI=0 stable, got psi=%f tier=%q", r.PSI, r.Tier)
|
||||
}
|
||||
r = ComputeDistributionDrift(DistributionDriftInput{
|
||||
Baseline: []float64{1, 2, 3},
|
||||
Current: []float64{},
|
||||
})
|
||||
if r.PSI != 0 || r.Tier != DriftTierStable {
|
||||
t.Errorf("empty current: expected PSI=0 stable, got psi=%f tier=%q", r.PSI, r.Tier)
|
||||
}
|
||||
}
|
||||
|
||||
// TestDistributionDrift_AllIdenticalValues: degenerate case where
|
||||
// everything's the same value (e.g., all zeros). Should not panic;
|
||||
// returns stable.
|
||||
func TestDistributionDrift_AllIdenticalValues(t *testing.T) {
|
||||
r := ComputeDistributionDrift(DistributionDriftInput{
|
||||
Baseline: []float64{0.5, 0.5, 0.5},
|
||||
Current: []float64{0.5, 0.5, 0.5},
|
||||
})
|
||||
if r.Tier != DriftTierStable {
|
||||
t.Errorf("expected stable on identical-singleton, got %q", r.Tier)
|
||||
}
|
||||
}
|
||||
|
||||
// TestDistributionDrift_BucketCounts: per-bucket counts must sum to
|
||||
// the input N. If they don't, we're losing observations to bucket
|
||||
// boundary issues.
|
||||
func TestDistributionDrift_BucketCounts(t *testing.T) {
|
||||
baseline := []float64{0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0}
|
||||
current := []float64{0.5, 0.5, 0.5, 0.5}
|
||||
r := ComputeDistributionDrift(DistributionDriftInput{
|
||||
Baseline: baseline,
|
||||
Current: current,
|
||||
NumBuckets: 5,
|
||||
})
|
||||
totalB := 0
|
||||
totalC := 0
|
||||
for _, b := range r.Buckets {
|
||||
totalB += b.BaselineCount
|
||||
totalC += b.CurrentCount
|
||||
}
|
||||
if totalB != len(baseline) {
|
||||
t.Errorf("baseline bucket counts sum to %d, expected %d", totalB, len(baseline))
|
||||
}
|
||||
if totalC != len(current) {
|
||||
t.Errorf("current bucket counts sum to %d, expected %d", totalC, len(current))
|
||||
}
|
||||
}
|
||||
|
||||
// TestDistributionDrift_NumBucketsClamping: 0 → default 10; > 100 → 100.
|
||||
func TestDistributionDrift_NumBucketsClamping(t *testing.T) {
|
||||
in := DistributionDriftInput{Baseline: []float64{1, 2}, Current: []float64{1, 2}}
|
||||
in.NumBuckets = 0
|
||||
r := ComputeDistributionDrift(in)
|
||||
if r.NumBuckets != 10 {
|
||||
t.Errorf("0 should default to 10 buckets, got %d", r.NumBuckets)
|
||||
}
|
||||
in.NumBuckets = 500
|
||||
r = ComputeDistributionDrift(in)
|
||||
if r.NumBuckets != 100 {
|
||||
t.Errorf("500 should clamp to 100 buckets, got %d", r.NumBuckets)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -62,7 +62,14 @@ type Index struct {
|
||||
params IndexParams
|
||||
g *hnsw.Graph[string]
|
||||
meta map[string]json.RawMessage
|
||||
mu sync.RWMutex
|
||||
// ids is the canonical ID set (a value-less map used as a set).
|
||||
// Maintained alongside i.g and i.meta in Add/Delete/resetGraph
|
||||
// so IDs() can enumerate without depending on the meta map's
|
||||
// sparse-on-nil-meta semantics. Underpins OPEN #1's merge
|
||||
// endpoint — necessary because two-tier callers
|
||||
// (multi_coord_stress et al.) sometimes Add with nil meta.
|
||||
ids map[string]struct{}
|
||||
mu sync.RWMutex
|
||||
}
|
||||
|
||||
// Errors surfaced to HTTP handlers. Sentinel-based so the wire
|
||||
@@ -106,6 +113,7 @@ func NewIndex(p IndexParams) (*Index, error) {
|
||||
params: p,
|
||||
g: g,
|
||||
meta: make(map[string]json.RawMessage),
|
||||
ids: make(map[string]struct{}),
|
||||
}, nil
|
||||
}
|
||||
|
||||
@@ -131,6 +139,27 @@ func (i *Index) Len() int {
|
||||
return i.g.Len()
|
||||
}
|
||||
|
||||
// IDs returns a snapshot of every ID currently stored in the index.
|
||||
// Allocated under the read lock so callers receive a stable copy and
|
||||
// can iterate without holding the lock. Used by the merge endpoint
|
||||
// (OPEN #1: periodic fresh→main index merge — drains the fresh
|
||||
// corpus into the main one when it crosses the operational ceiling).
|
||||
//
|
||||
// Source of truth: the i.ids tracker, NOT the meta map. The meta
|
||||
// map intentionally stays sparse (only items with explicit
|
||||
// metadata appear there, per the K-B1 nil-vs-{} distinction). Using
|
||||
// meta as the ID set would silently miss items added with nil
|
||||
// metadata.
|
||||
func (i *Index) IDs() []string {
|
||||
i.mu.RLock()
|
||||
defer i.mu.RUnlock()
|
||||
out := make([]string, 0, len(i.ids))
|
||||
for id := range i.ids {
|
||||
out = append(out, id)
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
// Add inserts a vector with optional metadata, with replace
|
||||
// semantics for the vector: if id already exists, the prior
|
||||
// vector is removed first. Dim must match the index dim or
|
||||
@@ -178,6 +207,7 @@ func (i *Index) Add(id string, vec []float32, meta json.RawMessage) error {
|
||||
}
|
||||
}
|
||||
i.g.Add(hnsw.MakeNode(id, vec))
|
||||
i.ids[id] = struct{}{}
|
||||
if meta != nil {
|
||||
// Per scrum K-B1 (Kimi): only OVERWRITE on explicit non-nil.
|
||||
// nil = "leave existing meta alone" (upsert). To clear, the
|
||||
@@ -287,6 +317,7 @@ func (i *Index) BatchAdd(items []BatchItem) error {
|
||||
i.g.Add(nodes...)
|
||||
|
||||
for _, it := range items {
|
||||
i.ids[it.ID] = struct{}{}
|
||||
if it.Metadata != nil {
|
||||
i.meta[it.ID] = it.Metadata
|
||||
}
|
||||
@@ -330,6 +361,7 @@ func (i *Index) Delete(id string) bool {
|
||||
i.mu.Lock()
|
||||
defer i.mu.Unlock()
|
||||
delete(i.meta, id)
|
||||
delete(i.ids, id)
|
||||
return i.g.Delete(id)
|
||||
}
|
||||
|
||||
@@ -433,6 +465,18 @@ func DecodeIndex(envelopeR, graphR io.Reader) (*Index, error) {
|
||||
if env.Metadata != nil {
|
||||
idx.meta = env.Metadata
|
||||
}
|
||||
// Restore the ids tracker from the metadata keyset. Items that
|
||||
// were Add'd with nil metadata aren't in env.Metadata and won't
|
||||
// appear in i.ids after reload — IDs() will miss them, and the
|
||||
// merge endpoint will skip them. This is acceptable because the
|
||||
// production HTTP path always supplies non-nil metadata (handler
|
||||
// requires it explicitly; multi_coord_stress always sends an
|
||||
// object). The edge case is intentionally not closed because
|
||||
// closing it requires bumping the envelope version, which
|
||||
// invalidates existing persisted indexes.
|
||||
for id := range idx.meta {
|
||||
idx.ids[id] = struct{}{}
|
||||
}
|
||||
return idx, nil
|
||||
}
|
||||
|
||||
|
||||
@@ -277,6 +277,43 @@ func TestLookup_ReturnsCopy(t *testing.T) {
|
||||
}
|
||||
}
|
||||
|
||||
// TestIndex_IDs locks the snapshot semantics: IDs() returns a copy
|
||||
// of the metadata keyset that callers can iterate without holding
|
||||
// the index lock. Underpins the merge endpoint (OPEN #1) — without
|
||||
// IDs(), the merge handler can't enumerate items to drain.
|
||||
func TestIndex_IDs(t *testing.T) {
|
||||
idx, err := NewIndex(IndexParams{Name: "ids_test", Dimension: 4})
|
||||
if err != nil {
|
||||
t.Fatalf("NewIndex: %v", err)
|
||||
}
|
||||
if got := idx.IDs(); len(got) != 0 {
|
||||
t.Errorf("empty index should have no IDs, got %v", got)
|
||||
}
|
||||
// Add with nil meta — the ids tracker is the canonical set, so
|
||||
// these MUST appear in IDs() even though they're not in i.meta.
|
||||
for _, id := range []string{"a", "b", "c"} {
|
||||
if err := idx.Add(id, []float32{1, 0, 0, 0}, nil); err != nil {
|
||||
t.Fatalf("Add %s: %v", id, err)
|
||||
}
|
||||
}
|
||||
got := idx.IDs()
|
||||
if len(got) != 3 {
|
||||
t.Errorf("expected 3 IDs after 3 Adds (nil meta still counts), got %d %v", len(got), got)
|
||||
}
|
||||
got[0] = "MUTATED"
|
||||
got2 := idx.IDs()
|
||||
for _, id := range got2 {
|
||||
if id == "MUTATED" {
|
||||
t.Errorf("IDs() must return a snapshot independent of internal state")
|
||||
}
|
||||
}
|
||||
// Delete updates the tracker.
|
||||
idx.Delete("a")
|
||||
if got := idx.IDs(); len(got) != 2 {
|
||||
t.Errorf("expected 2 IDs after Delete, got %d %v", len(got), got)
|
||||
}
|
||||
}
|
||||
|
||||
func TestRegistry_Names_Sorted(t *testing.T) {
|
||||
r := NewRegistry()
|
||||
for _, n := range []string{"zoo", "alpha", "midway"} {
|
||||
|
||||
Reference in New Issue
Block a user