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do not use results from junk filter if we have less than 50 positive classifications to base the decision on
useful for new accounts. we don't want to start rejecting incoming messages for having a score near 0.5 because of too little training material. we err on the side of allowing messages in. the user will mark them as junk, training the filter. once enough non-junk has come in, we'll start the actual filtering. for issue #64 by x8x, and i've also seen this concern on matrix
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@ -670,6 +670,8 @@ func TestSpam(t *testing.T) {
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for i := 0; i < 3; i++ {
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nm := m
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tinsertmsg(t, ts.acc, "Inbox", &nm, deliverMessage)
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nm = m
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tinsertmsg(t, ts.acc, "mjl2", &nm, deliverMessage)
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}
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// Delivery from sender with bad reputation should fail.
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@ -922,16 +924,22 @@ func TestDMARCSent(t *testing.T) {
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// Update DNS for an SPF pass, and DMARC pass.
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resolver.TXT["example.org."] = []string{"v=spf1 ip4:127.0.0.10 -all"}
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// Insert spammy messages not related to the test message.
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// Insert hammy & spammy messages not related to the test message.
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m := store.Message{
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MailFrom: "remote@test.example",
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RcptToLocalpart: smtp.Localpart("mjl"),
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RcptToDomain: "mox.example",
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Flags: store.Flags{Seen: true, Junk: true},
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Flags: store.Flags{Seen: true},
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Size: int64(len(deliverMessage)),
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}
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for i := 0; i < 3; i++ {
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// We need at least 50 ham messages for the junk filter to become significant. We
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// offset it with negative messages for mediocre score.
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for i := 0; i < 50; i++ {
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nm := m
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nm.Junk = true
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tinsertmsg(t, ts.acc, "Archive", &nm, deliverMessage)
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nm = m
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nm.Notjunk = true
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tinsertmsg(t, ts.acc, "Archive", &nm, deliverMessage)
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}
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tretrain(t, ts.acc)
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