Files
yellowjacket/backend/explore/dumpcounts.go
T
yonluandClaude Opus 4.8 65048401e8 feat: autotag scoring overhaul, dump-based explore index, and lyrics search
Consolidates in-progress work across autotag, explore, and library:

- autotag: beets/Picard-informed scoring engine — ID-first matching, VA
  handling, recommendation tiers, and a merged distance/rank cascade, with
  an eval harness for regression tracking.
- explore: offline MusicBrainz dump import/incremental refresh replaces the
  legacy tier crawl; index-first local search with fuzzy matching and a
  dedicated ranker; disk-free guards for dump downloads.
- library: artist-credit extraction and matching.
- lyrics: owned-library lyric search (FTS) with LRCLIB backfill.

Also: rewrite README to be user-focused, and migrate upstream to
git.ljones.me/yonlu/yellowjacket.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 12:14:20 -04:00

585 lines
13 KiB
Go

package explore
import (
"archive/tar"
"bufio"
"bytes"
"context"
"encoding/binary"
"encoding/json"
"errors"
"fmt"
"io"
"os"
"strings"
"sync"
"github.com/parquet-go/parquet-go"
)
// Stage 1 of the dump import: stream the ListenBrainz spark listens
// dump (a plain tar of ~128MB parquet files) and aggregate listen
// counts per recording, release, and artist MBID. Nothing is written
// to disk except counts.bin — each parquet member is buffered in RAM,
// parsed, and discarded. The aggregate map lives in RAM (~40M entities
// ≈ 2GB) and is flushed atomically with the stream byte offset so an
// interrupted import resumes without re-downloading processed data.
const (
// countKindRecording etc. tag entries in the counts map/file.
countKindRecording = byte(1)
countKindRelease = byte(2)
countKindArtist = byte(3)
// countsFlushEveryMembers controls checkpoint frequency. Each
// flush rewrites counts.bin (~1GB by the end), so this trades
// checkpoint I/O against re-download on crash (~150 members ≈
// 19GB of stream progress).
countsFlushEveryMembers = 150
// countsProgressEveryMembers controls progress log frequency.
countsProgressEveryMembers = 50
// parquetParseWorkers is the number of concurrent parquet
// decoders. Bounded to limit RAM: each worker holds one
// ~128MB member buffer.
parquetParseWorkers = 3
// maxParquetMemberSize guards against unexpected dump format
// changes blowing out RAM.
maxParquetMemberSize = 1 << 30
// countsFileMagic identifies + versions the counts file format.
countsFileMagic = "YJCNTS01"
)
// ErrDumpFormat is returned when dump contents don't match the
// expected format.
var ErrDumpFormat = errors.New("unexpected dump format")
// mbidKey is a parsed UUID plus an entity-kind tag, used as the counts
// map key. 17 bytes instead of a 36-byte string keeps the ~40M-entry
// map around 2GB.
type mbidKey [17]byte
func makeMBIDKey(kind byte, mbid string) (mbidKey, bool) {
var k mbidKey
k[0] = kind
if !parseUUID(mbid, k[1:]) {
return k, false
}
return k, true
}
// parseUUID parses a canonical 36-char UUID string into 16 bytes.
// Returns false for anything malformed.
func parseUUID(s string, out []byte) bool {
if len(s) != 36 || s[8] != '-' || s[13] != '-' || s[18] != '-' || s[23] != '-' {
return false
}
j := 0
for i := 0; i < 36; i++ {
if i == 8 || i == 13 || i == 18 || i == 23 {
continue
}
hi := hexNibble(s[i])
i++
lo := hexNibble(s[i])
if hi == 0xFF || lo == 0xFF {
return false
}
out[j] = hi<<4 | lo
j++
}
return true
}
func hexNibble(c byte) byte {
switch {
case c >= '0' && c <= '9':
return c - '0'
case c >= 'a' && c <= 'f':
return c - 'a' + 10
case c >= 'A' && c <= 'F':
return c - 'A' + 10
default:
return 0xFF
}
}
func formatUUID(b []byte) string {
const hexdigits = "0123456789abcdef"
out := make([]byte, 36)
j := 0
for i := range 16 {
if i == 4 || i == 6 || i == 8 || i == 10 {
out[j] = '-'
j++
}
out[j] = hexdigits[b[i]>>4]
out[j+1] = hexdigits[b[i]&0x0F]
j += 2
}
return string(out)
}
// countsState is the checkpointed stage-1 state: the counts map plus
// the stream position it corresponds to.
type countsState struct {
// SparkURL pins the dump being processed so a resume never mixes
// two different dumps.
SparkURL string `json:"sparkUrl"`
// Offset is the byte offset of the next unprocessed tar member
// header (exact — includes the padding of the previous member).
Offset int64 `json:"offset"`
// MemberIdx is the index of the next unprocessed parquet member
// (logging only; Offset is authoritative for resume).
MemberIdx int `json:"memberIdx"`
// Done marks stage 1 complete.
Done bool `json:"done"`
counts map[mbidKey]uint32
}
// sparkListenRow is the projection of the spark listens parquet schema
// that the aggregator reads. All other columns are skipped.
type sparkListenRow struct {
RecordingMBID string `parquet:"recording_mbid,optional"`
ReleaseMBID string `parquet:"release_mbid,optional"`
ArtistMBIDs []string `parquet:"artist_credit_mbids,optional,list"`
}
type countParseJob struct {
idx int
endOffset int64 // exact offset of the next member header
buf []byte
}
type countParseResult struct {
idx int
endOffset int64
deltas map[mbidKey]uint32
err error
}
// aggregateListenCounts runs stage 1 to completion (or ctx cancel),
// checkpointing to the staging counts file as it goes.
func (imp *dumpImporter) aggregateListenCounts(ctx context.Context, st *countsState) error {
if st.counts == nil {
st.counts = make(map[mbidKey]uint32, 1<<20)
}
stream := newResumableReader(ctx, imp.httpClient, st.SparkURL, st.Offset)
defer func() { _ = stream.Close() }()
buffered := bufio.NewReaderSize(stream, 1<<20)
tr := tar.NewReader(buffered)
// consumedOffset is the absolute stream position of everything the
// tar reader has consumed: bytes delivered by HTTP minus bytes
// still sitting in the bufio buffer.
consumedOffset := func() int64 {
return stream.Offset - int64(buffered.Buffered())
}
jobs := make(chan countParseJob)
results := make(chan countParseResult, parquetParseWorkers)
applierDone := make(chan struct{})
bufPool := sync.Pool{New: func() any { return []byte(nil) }}
var workerWG sync.WaitGroup
for range parquetParseWorkers {
workerWG.Add(1)
go func() {
defer workerWG.Done()
for job := range jobs {
deltas, err := parseListenParquet(job.buf)
// Buffer reuse across members is intentional.
bufPool.Put(job.buf[:0]) //nolint:staticcheck
results <- countParseResult{
idx: job.idx,
endOffset: job.endOffset,
deltas: deltas,
err: err,
}
}
}()
}
// The applier merges results into st in member order, so every
// checkpoint is a contiguous prefix of the stream. It owns
// st.counts, st.Offset, and st.MemberIdx until applierDone closes;
// on error it keeps draining results so nothing deadlocks.
var applyErr error
go func() {
defer close(applierDone)
pending := make(map[int]countParseResult)
next := st.MemberIdx
lastFlushed := st.MemberIdx
for res := range results {
if applyErr != nil {
continue
}
pending[res.idx] = res
for {
r, ok := pending[next]
if !ok {
break
}
delete(pending, next)
if r.err != nil {
applyErr = r.err
break
}
for k, v := range r.deltas {
st.counts[k] += v
}
next++
st.MemberIdx = next
st.Offset = r.endOffset
if next-lastFlushed >= countsFlushEveryMembers {
if err := imp.writeCountsFile(st); err != nil {
applyErr = err
break
}
lastFlushed = next
imp.logCountsProgress(next, r.endOffset, stream.Size, len(st.counts))
if err := imp.checkDiskHeadroom(); err != nil {
applyErr = err
break
}
} else if next%countsProgressEveryMembers == 0 {
imp.logCountsProgress(next, r.endOffset, stream.Size, len(st.counts))
}
}
}
}()
memberIdx := st.MemberIdx
readErr := error(nil)
readLoop:
for {
if err := ctx.Err(); err != nil {
readErr = err
break
}
hdr, err := tr.Next()
if errors.Is(err, io.EOF) {
break
}
if err != nil {
readErr = fmt.Errorf("listens tar: %w", err)
break
}
if hdr.Typeflag != tar.TypeReg || !strings.HasSuffix(hdr.Name, ".parquet") {
continue
}
if hdr.Size > maxParquetMemberSize {
readErr = fmt.Errorf("%w: parquet member %s is %d bytes", ErrDumpFormat, hdr.Name, hdr.Size)
break
}
buf, _ := bufPool.Get().([]byte)
if cap(buf) < int(hdr.Size) {
buf = make([]byte, hdr.Size)
}
buf = buf[:hdr.Size]
if _, err := io.ReadFull(tr, buf); err != nil {
readErr = fmt.Errorf("listens tar member read: %w", err)
break
}
// Exact next-header offset: position after the entry data plus
// the entry's block padding. Correct even when the next member
// uses PAX extension headers (those start at its header offset).
endOffset := consumedOffset() + tarPadding(hdr.Size)
select {
case jobs <- countParseJob{idx: memberIdx, endOffset: endOffset, buf: buf}:
case <-ctx.Done():
readErr = ctx.Err()
break readLoop
}
memberIdx++
}
close(jobs)
workerWG.Wait()
close(results)
<-applierDone
if readErr == nil {
readErr = applyErr
}
if readErr != nil {
// Best-effort checkpoint of applied progress before bailing,
// so even a cancelled run resumes where it left off.
_ = imp.writeCountsFile(st)
return readErr
}
st.Done = true
if err := imp.writeCountsFile(st); err != nil {
return err
}
imp.logger.Info("dump import: listen counts complete",
"members", st.MemberIdx,
"entities", len(st.counts),
)
return nil
}
// tarPadding returns the number of zero bytes following a tar entry of
// the given size (entries are padded to 512-byte blocks).
func tarPadding(size int64) int64 {
const block = 512
return (block - size%block) % block
}
// parseListenParquet decodes one parquet member and returns the
// per-entity listen-count deltas.
func parseListenParquet(buf []byte) (map[mbidKey]uint32, error) {
reader := parquet.NewGenericReader[sparkListenRow](bytes.NewReader(buf))
defer func() { _ = reader.Close() }()
deltas := make(map[mbidKey]uint32, 1<<18)
rows := make([]sparkListenRow, 4096)
for {
n, err := reader.Read(rows)
for _, row := range rows[:n] {
key, ok := makeMBIDKey(countKindRecording, row.RecordingMBID)
if !ok {
// Unmapped listen — no usable recording MBID.
continue
}
deltas[key]++
if relKey, relOK := makeMBIDKey(countKindRelease, row.ReleaseMBID); relOK {
deltas[relKey]++
}
for _, artist := range row.ArtistMBIDs {
if artKey, artOK := makeMBIDKey(countKindArtist, artist); artOK {
deltas[artKey]++
}
}
}
if errors.Is(err, io.EOF) {
break
}
if err != nil {
return nil, fmt.Errorf("parquet read: %w", err)
}
if n == 0 {
break
}
}
return deltas, nil
}
// ---------------------------------------------------------------------------
// counts.bin persistence
// ---------------------------------------------------------------------------
// writeCountsFile atomically persists the counts map + stream position
// (write to temp file, fsync, rename).
func (imp *dumpImporter) writeCountsFile(st *countsState) error {
tmp := imp.countsPath() + ".tmp"
f, err := os.Create(tmp)
if err != nil {
return fmt.Errorf("counts file create: %w", err)
}
w := bufio.NewWriterSize(f, 1<<20)
meta, err := json.Marshal(st)
if err != nil {
_ = f.Close()
return fmt.Errorf("counts meta marshal: %w", err)
}
_, _ = w.WriteString(countsFileMagic)
var lenBuf [4]byte
binary.LittleEndian.PutUint32(lenBuf[:], uint32(len(meta)))
_, _ = w.Write(lenBuf[:])
_, _ = w.Write(meta)
var rec [21]byte
for k, v := range st.counts {
copy(rec[:17], k[:])
binary.LittleEndian.PutUint32(rec[17:], v)
if _, err := w.Write(rec[:]); err != nil {
_ = f.Close()
return fmt.Errorf("counts file write: %w", err)
}
}
if err := w.Flush(); err != nil {
_ = f.Close()
return fmt.Errorf("counts file flush: %w", err)
}
if err := f.Sync(); err != nil {
_ = f.Close()
return fmt.Errorf("counts file sync: %w", err)
}
if err := f.Close(); err != nil {
return fmt.Errorf("counts file close: %w", err)
}
if err := os.Rename(tmp, imp.countsPath()); err != nil {
return fmt.Errorf("counts file rename: %w", err)
}
return nil
}
// readCountsFile loads a previously checkpointed counts file. Returns
// (nil, nil) when no checkpoint exists.
func (imp *dumpImporter) readCountsFile() (*countsState, error) {
f, err := os.Open(imp.countsPath())
if errors.Is(err, os.ErrNotExist) {
return nil, nil //nolint:nilnil // no checkpoint is a valid, non-error state
}
if err != nil {
return nil, fmt.Errorf("counts file open: %w", err)
}
defer func() { _ = f.Close() }()
r := bufio.NewReaderSize(f, 1<<20)
magic := make([]byte, len(countsFileMagic))
if _, err := io.ReadFull(r, magic); err != nil || string(magic) != countsFileMagic {
return nil, fmt.Errorf("%w: bad counts file header", ErrDumpFormat)
}
var lenBuf [4]byte
if _, err := io.ReadFull(r, lenBuf[:]); err != nil {
return nil, fmt.Errorf("counts meta length: %w", err)
}
meta := make([]byte, binary.LittleEndian.Uint32(lenBuf[:]))
if _, err := io.ReadFull(r, meta); err != nil {
return nil, fmt.Errorf("counts meta read: %w", err)
}
st := &countsState{}
if err := json.Unmarshal(meta, st); err != nil {
return nil, fmt.Errorf("counts meta unmarshal: %w", err)
}
st.counts = make(map[mbidKey]uint32, 1<<20)
var rec [21]byte
for {
if _, err := io.ReadFull(r, rec[:]); err != nil {
if errors.Is(err, io.EOF) {
break
}
return nil, fmt.Errorf("counts record read: %w", err)
}
var k mbidKey
copy(k[:], rec[:17])
st.counts[k] = binary.LittleEndian.Uint32(rec[17:])
}
return st, nil
}
func (imp *dumpImporter) logCountsProgress(members int, offset, size int64, entities int) {
pct := float64(0)
if size > 0 {
pct = float64(offset) / float64(size) * 100
}
imp.logger.Info("dump import: listen counts progress",
"members", members,
"gb", fmt.Sprintf("%.1f", float64(offset)/(1<<30)),
"pct", fmt.Sprintf("%.1f", pct),
"entities", entities,
)
imp.setStageProgress(dumpStageCounts, int(pct), 100)
}