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libnovel/backend/internal/orchestrator/orchestrator.go
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feat: add v2 stack (backend, runner, ui-v2) with release workflow
- backend/: Go API server and runner binaries with PocketBase + MinIO storage
- ui-v2/: SvelteKit frontend rewrite
- docker-compose-new.yml: compose file for the v2 stack
- .gitea/workflows/release-v2.yaml: CI/CD for backend, runner, and ui-v2 Docker Hub images
- scripts/pb-init.sh: migrate from wget to curl, add superuser bootstrap for fresh installs
- .env.example: document DOCKER_BUILDKIT=1 for Colima users
2026-03-15 19:32:40 +05:00

206 lines
5.9 KiB
Go

// Package orchestrator coordinates metadata extraction, chapter-list fetching,
// and parallel chapter scraping for a single book.
//
// Design:
// - RunBook scrapes one book (metadata + chapter list + chapter texts) end-to-end.
// - N worker goroutines pull chapter refs from a shared queue and call ScrapeChapterText.
// - The caller (runner poll loop) owns the outer task-claim / finish cycle.
package orchestrator
import (
"context"
"fmt"
"log/slog"
"runtime"
"sync"
"sync/atomic"
"github.com/libnovel/backend/internal/bookstore"
"github.com/libnovel/backend/internal/domain"
"github.com/libnovel/backend/internal/scraper"
)
// Config holds tunable parameters for the orchestrator.
type Config struct {
// Workers is the number of goroutines used to scrape chapters in parallel.
// Defaults to runtime.NumCPU() when 0.
Workers int
}
// Orchestrator runs a single-book scrape pipeline.
type Orchestrator struct {
novel scraper.NovelScraper
store bookstore.BookWriter
log *slog.Logger
workers int
}
// New returns a new Orchestrator.
func New(cfg Config, novel scraper.NovelScraper, store bookstore.BookWriter, log *slog.Logger) *Orchestrator {
if log == nil {
log = slog.Default()
}
workers := cfg.Workers
if workers <= 0 {
workers = runtime.NumCPU()
}
return &Orchestrator{novel: novel, store: store, log: log, workers: workers}
}
// RunBook scrapes a single book described by task. It handles:
// 1. Metadata scrape + write
// 2. Chapter list scrape + write
// 3. Parallel chapter text scrape + write (worker pool)
//
// Returns a ScrapeResult with counters. The result's ErrorMessage is non-empty
// if the run failed at the metadata or chapter-list level.
func (o *Orchestrator) RunBook(ctx context.Context, task domain.ScrapeTask) domain.ScrapeResult {
o.log.Info("orchestrator: RunBook starting",
"task_id", task.ID,
"kind", task.Kind,
"url", task.TargetURL,
"workers", o.workers,
)
var result domain.ScrapeResult
if task.TargetURL == "" {
result.ErrorMessage = "task has no target URL"
return result
}
// ── Step 1: Metadata ──────────────────────────────────────────────────────
meta, err := o.novel.ScrapeMetadata(ctx, task.TargetURL)
if err != nil {
o.log.Error("metadata scrape failed", "url", task.TargetURL, "err", err)
result.ErrorMessage = fmt.Sprintf("metadata: %v", err)
result.Errors++
return result
}
if err := o.store.WriteMetadata(ctx, meta); err != nil {
o.log.Error("metadata write failed", "slug", meta.Slug, "err", err)
// non-fatal: continue to chapters
result.Errors++
} else {
result.BooksFound = 1
}
o.log.Info("metadata saved", "slug", meta.Slug, "title", meta.Title)
// ── Step 2: Chapter list ──────────────────────────────────────────────────
refs, err := o.novel.ScrapeChapterList(ctx, task.TargetURL)
if err != nil {
o.log.Error("chapter list scrape failed", "slug", meta.Slug, "err", err)
result.ErrorMessage = fmt.Sprintf("chapter list: %v", err)
result.Errors++
return result
}
o.log.Info("chapter list fetched", "slug", meta.Slug, "chapters", len(refs))
// Persist chapter refs (without text) so the index exists early.
if wErr := o.store.WriteChapterRefs(ctx, meta.Slug, refs); wErr != nil {
o.log.Warn("chapter refs write failed", "slug", meta.Slug, "err", wErr)
}
// ── Step 3: Chapter texts (worker pool) ───────────────────────────────────
type chapterJob struct {
slug string
ref domain.ChapterRef
total int // total chapters to scrape (for progress logging)
}
work := make(chan chapterJob, o.workers*4)
var scraped, skipped, errors atomic.Int64
var wg sync.WaitGroup
for i := 0; i < o.workers; i++ {
wg.Add(1)
go func(workerID int) {
defer wg.Done()
for job := range work {
select {
case <-ctx.Done():
return
default:
}
if o.store.ChapterExists(ctx, job.slug, job.ref) {
o.log.Debug("chapter already exists, skipping",
"slug", job.slug, "chapter", job.ref.Number)
skipped.Add(1)
continue
}
ch, err := o.novel.ScrapeChapterText(ctx, job.ref)
if err != nil {
o.log.Error("chapter scrape failed",
"slug", job.slug, "chapter", job.ref.Number, "err", err)
errors.Add(1)
continue
}
if err := o.store.WriteChapter(ctx, job.slug, ch); err != nil {
o.log.Error("chapter write failed",
"slug", job.slug, "chapter", job.ref.Number, "err", err)
errors.Add(1)
continue
}
n := scraped.Add(1)
// Log a progress summary every 25 chapters scraped.
if n%25 == 0 {
o.log.Info("scraping chapters",
"slug", job.slug, "scraped", n, "total", job.total)
}
}
}(i)
}
// Count how many chapters will actually be enqueued (for progress logging).
toScrape := 0
for _, ref := range refs {
if task.FromChapter > 0 && ref.Number < task.FromChapter {
continue
}
if task.ToChapter > 0 && ref.Number > task.ToChapter {
continue
}
toScrape++
}
// Enqueue chapter jobs respecting the optional range filter from the task.
for _, ref := range refs {
if task.FromChapter > 0 && ref.Number < task.FromChapter {
skipped.Add(1)
continue
}
if task.ToChapter > 0 && ref.Number > task.ToChapter {
skipped.Add(1)
continue
}
select {
case <-ctx.Done():
goto drain
case work <- chapterJob{slug: meta.Slug, ref: ref, total: toScrape}:
}
}
drain:
close(work)
wg.Wait()
result.ChaptersScraped = int(scraped.Load())
result.ChaptersSkipped = int(skipped.Load())
result.Errors += int(errors.Load())
o.log.Info("book scrape finished",
"slug", meta.Slug,
"scraped", result.ChaptersScraped,
"skipped", result.ChaptersSkipped,
"errors", result.Errors,
)
return result
}