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update to latest bstore (with support for an index on a []string: Message.DKIMDomains), and cyclic data types (to be used for Message.Part soon); also adds a context.Context to database operations.

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This commit is contained in:
Mechiel Lukkien
2023-05-22 14:40:36 +02:00
parent f6ed860ccb
commit e81930ba20
58 changed files with 1970 additions and 1035 deletions
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37
junk/filter_test.go
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@ -1,6 +1,7 @@
package junk
import (
"context"
"fmt"
"math"
"os"
@ -10,6 +11,8 @@ import (
"github.com/mjl-/mox/mlog"
)
var ctxbg = context.Background()
func tcheck(t *testing.T, err error, msg string) {
t.Helper()
if err != nil {
@ -43,12 +46,12 @@ func TestFilter(t *testing.T) {
bloomPath := "../testdata/junk/filter.bloom"
os.Remove(dbPath)
os.Remove(bloomPath)
f, err := NewFilter(log, params, dbPath, bloomPath)
f, err := NewFilter(ctxbg, log, params, dbPath, bloomPath)
tcheck(t, err, "new filter")
err = f.Close()
tcheck(t, err, "close filter")
f, err = OpenFilter(log, params, dbPath, bloomPath, true)
f, err = OpenFilter(ctxbg, log, params, dbPath, bloomPath, true)
tcheck(t, err, "open filter")
// Ensure these dirs exist. Developers should bring their own ham/spam example
@ -75,13 +78,13 @@ func TestFilter(t *testing.T) {
return
}
prob, _, _, _, err := f.ClassifyMessagePath(filepath.Join(hamdir, hamfiles[0]))
prob, _, _, _, err := f.ClassifyMessagePath(ctxbg, filepath.Join(hamdir, hamfiles[0]))
tcheck(t, err, "classify ham message")
if prob > 0.1 {
t.Fatalf("trained ham file has prob %v, expected <= 0.1", prob)
}
prob, _, _, _, err = f.ClassifyMessagePath(filepath.Join(spamdir, spamfiles[0]))
prob, _, _, _, err = f.ClassifyMessagePath(ctxbg, filepath.Join(spamdir, spamfiles[0]))
tcheck(t, err, "classify spam message")
if prob < 0.9 {
t.Fatalf("trained spam file has prob %v, expected > 0.9", prob)
@ -94,7 +97,7 @@ func TestFilter(t *testing.T) {
// classified as ham/spam. Then we untrain to see they are no longer classified.
os.Remove(dbPath)
os.Remove(bloomPath)
f, err = NewFilter(log, params, dbPath, bloomPath)
f, err = NewFilter(ctxbg, log, params, dbPath, bloomPath)
tcheck(t, err, "open filter")
hamf, err := os.Open(filepath.Join(hamdir, hamfiles[0]))
@ -112,18 +115,18 @@ func TestFilter(t *testing.T) {
spamsize := spamstat.Size()
// Train each message twice, to prevent single occurrences from being ignored.
err = f.TrainMessage(hamf, hamsize, true)
err = f.TrainMessage(ctxbg, hamf, hamsize, true)
tcheck(t, err, "train ham message")
_, err = hamf.Seek(0, 0)
tcheck(t, err, "seek ham message")
err = f.TrainMessage(hamf, hamsize, true)
err = f.TrainMessage(ctxbg, hamf, hamsize, true)
tcheck(t, err, "train ham message")
err = f.TrainMessage(spamf, spamsize, false)
err = f.TrainMessage(ctxbg, spamf, spamsize, false)
tcheck(t, err, "train spam message")
_, err = spamf.Seek(0, 0)
tcheck(t, err, "seek spam message")
err = f.TrainMessage(spamf, spamsize, true)
err = f.TrainMessage(ctxbg, spamf, spamsize, true)
tcheck(t, err, "train spam message")
if !f.modified {
@ -142,7 +145,7 @@ func TestFilter(t *testing.T) {
// Classify and verify.
_, err = hamf.Seek(0, 0)
tcheck(t, err, "seek ham message")
prob, _, _, _, err = f.ClassifyMessageReader(hamf, hamsize)
prob, _, _, _, err = f.ClassifyMessageReader(ctxbg, hamf, hamsize)
tcheck(t, err, "classify ham")
if prob > 0.1 {
t.Fatalf("got prob %v, expected <= 0.1", prob)
@ -150,7 +153,7 @@ func TestFilter(t *testing.T) {
_, err = spamf.Seek(0, 0)
tcheck(t, err, "seek spam message")
prob, _, _, _, err = f.ClassifyMessageReader(spamf, spamsize)
prob, _, _, _, err = f.ClassifyMessageReader(ctxbg, spamf, spamsize)
tcheck(t, err, "classify spam")
if prob < 0.9 {
t.Fatalf("got prob %v, expected >= 0.9", prob)
@ -159,20 +162,20 @@ func TestFilter(t *testing.T) {
// Untrain ham & spam.
_, err = hamf.Seek(0, 0)
tcheck(t, err, "seek ham message")
err = f.UntrainMessage(hamf, hamsize, true)
err = f.UntrainMessage(ctxbg, hamf, hamsize, true)
tcheck(t, err, "untrain ham message")
_, err = hamf.Seek(0, 0)
tcheck(t, err, "seek ham message")
err = f.UntrainMessage(hamf, spamsize, true)
err = f.UntrainMessage(ctxbg, hamf, spamsize, true)
tcheck(t, err, "untrain ham message")
_, err = spamf.Seek(0, 0)
tcheck(t, err, "seek spam message")
err = f.UntrainMessage(spamf, spamsize, true)
err = f.UntrainMessage(ctxbg, spamf, spamsize, true)
tcheck(t, err, "untrain spam message")
_, err = spamf.Seek(0, 0)
tcheck(t, err, "seek spam message")
err = f.UntrainMessage(spamf, spamsize, true)
err = f.UntrainMessage(ctxbg, spamf, spamsize, true)
tcheck(t, err, "untrain spam message")
if !f.modified {
@ -182,7 +185,7 @@ func TestFilter(t *testing.T) {
// Classify again, should be unknown.
_, err = hamf.Seek(0, 0)
tcheck(t, err, "seek ham message")
prob, _, _, _, err = f.ClassifyMessageReader(hamf, hamsize)
prob, _, _, _, err = f.ClassifyMessageReader(ctxbg, hamf, hamsize)
tcheck(t, err, "classify ham")
if math.Abs(prob-0.5) > 0.1 {
t.Fatalf("got prob %v, expected 0.5 +-0.1", prob)
@ -190,7 +193,7 @@ func TestFilter(t *testing.T) {
_, err = spamf.Seek(0, 0)
tcheck(t, err, "seek spam message")
prob, _, _, _, err = f.ClassifyMessageReader(spamf, spamsize)
prob, _, _, _, err = f.ClassifyMessageReader(ctxbg, spamf, spamsize)
tcheck(t, err, "classify spam")
if math.Abs(prob-0.5) > 0.1 {
t.Fatalf("got prob %v, expected 0.5 +-0.1", prob)