func TestStoreLinks(t *testing.T) {
db, _ := storage.MakeDB(":memory:", true, &storage.Settings{"bla", 3})
links := make(chan map[wikidump.Link]int)
go func() {
links <- map[wikidump.Link]int{
wikidump.Link{Anchor: "semanticizest", Target: "Entity_linking"}: 2,
wikidump.Link{Anchor: "NER", Target: "Named_entity_recognition"}: 3,
}
links <- map[wikidump.Link]int{
wikidump.Link{Anchor: "semanticizest", Target: "Entity_linking"}: 1,
}
close(links)
}()
if err := storeLinks(db, links, 3); err != nil {
t.Error(err)
}
var count float64
q := `select count from linkstats
where targetid = (select id from titles where title="Entity_linking")`
err := db.QueryRow(q).Scan(&count)
if err != nil {
t.Fatal(err)
} else if count != 3 {
t.Errorf("expected count=3.0, got %f\n", count)
}
}
func main() {
kingpin.Parse()
log.SetPrefix("dumpparser ")
var err error
check := func() {
if err != nil {
log.Fatal(err)
}
}
if *download != "" {
*dumppath, err = wikidump.Download(*download, *dumppath, true)
check()
} else if *dumppath == "" {
log.Fatal("no --download and no dumppath specified (try --help)")
}
f, err := open(*dumppath)
check()
defer f.Close()
log.Printf("Creating database at %s", *dbpath)
db, err := storage.MakeDB(*dbpath, true,
&storage.Settings{*dumppath, uint(*maxNGram)})
check()
// The numbers here are completely arbitrary.
nworkers := runtime.GOMAXPROCS(0)
articles := make(chan *wikidump.Page, 10*nworkers)
links := make(chan map[wikidump.Link]int, 10*nworkers)
redirects := make(chan *wikidump.Redirect, 100)
var wg sync.WaitGroup
// Collect redirects.
wg.Add(1)
redirmap := make(map[string]string)
go func() {
for r := range redirects {
redirmap[r.Title] = r.Target
}
wg.Done()
}()
// Clean up and tokenize articles, extract links, count n-grams.
maxN := int(*maxNGram)
counters := make([]*countmin.Sketch, nworkers)
var worker sync.WaitGroup
worker.Add(nworkers)
log.Printf("%d workers", nworkers)
for i := 0; i < nworkers; i++ {
counters[i], err = countmin.New(int(*nrows), int(*ncols))
check()
go func(ngramcount *countmin.Sketch) {
for a := range articles {
text := wikidump.Cleanup(a.Text)
links <- wikidump.ExtractLinks(text)
tokens := nlp.Tokenize(text)
for _, h := range hash.NGrams(tokens, 1, maxN) {
ngramcount.Add1(h)
}
}
worker.Done()
}(counters[i])
}
wg.Add(1)
go func() {
worker.Wait()
close(links)
for i := 1; i < nworkers; i++ {
counters[0].Sum(counters[i])
}
counters = counters[:1]
wg.Done()
}()
// Collect links and store them in the database.
wg.Add(1)
done := make(chan struct{})
go func() {
if slerr := storeLinks(db, links, maxN); slerr != nil {
panic(slerr)
}
wg.Done()
}()
go wikidump.GetPages(f, articles, redirects)
wg.Wait()
close(done)
log.Printf("Processing %d redirects", len(redirmap))
storage.ProcessRedirects(db, redirmap, true)
err = storage.StoreCM(db, counters[0])
check()
log.Println("Finalizing database")
err = storage.Finalize(db)
check()
err = db.Close()
check()
}
