#
# Used for training spam (via SpamAssassin) and removing messages from a
# public-inbox
-my $usage = "$0 (spam|ham) < /path/to/message";
+my $usage = "$0 <spam|ham|rm> </path/to/message";
use strict;
use warnings;
use PublicInbox::Config;
$data
});
-# get all recipients
-my %dests;
-foreach my $h (qw(Cc To)) {
- my @val = $mime->header($h) or next;
- for (@val) {
- foreach my $email (PublicInbox::Address::emails($_)) {
- $dests{lc($email)} = 1;
- }
- }
-}
-
+# spam is removed from all known inboxes since it is often Bcc:-ed
if ($train eq 'spam') {
$pi_config->each_inbox(sub {
my ($ibx) = @_;
$im->remove($mime, 'spam');
$im->done;
});
-}
+} else {
+ require PublicInbox::MDA if $train eq "ham";
-require PublicInbox::MDA if $train eq "ham";
+ # get all recipients
+ my %dests; # address => <PublicInbox::Inbox|0(false)>
+ for ($mime->header('Cc'), $mime->header('To')) {
+ foreach my $addr (PublicInbox::Address::emails($_)) {
+ $addr = lc($addr);
+ $dests{$addr} //= $pi_config->lookup($addr) // 0;
+ }
+ }
-# n.b. message may be cross-posted to multiple public-inboxes
-foreach my $recipient (keys %dests) {
- my $dst = $pi_config->lookup($recipient) or next;
- # We do not touch GIT_COMMITTER_* env here so we can track
- # who trained the message.
- $dst->{name} = $ENV{GIT_COMMITTER_NAME} || $dst->{name};
- $dst->{-primary_address} = $ENV{GIT_COMMITTER_EMAIL} || $recipient;
- $dst = PublicInbox::InboxWritable->new($dst);
- my $im = $dst->importer(0);
+ # n.b. message may be cross-posted to multiple public-inboxes
+ while (my ($addr, $dst) = each %dests) {
+ next unless ref($dst);
+ # We do not touch GIT_COMMITTER_* env here so we can track
+ # who trained the message.
+ $dst->{name} = $ENV{GIT_COMMITTER_NAME} || $dst->{name};
+ $dst->{-primary_address} = $ENV{GIT_COMMITTER_EMAIL} || $addr;
+ $dst = PublicInbox::InboxWritable->new($dst);
+ my $im = $dst->importer(0);
- if ($train eq "spam" || $train eq "rm") {
- # This needs to be idempotent, as my inotify trainer
- # may train for each cross-posted message, and this
- # script already learns for every list in
- # ~/.public-inbox/config
- $im->remove($mime, $train);
- } else { # $train eq "ham"
- # no checking for spam here, we assume the message has
- # been reviewed by a human at this point:
- PublicInbox::MDA->set_list_headers($mime, $dst);
+ if ($train eq "rm") {
+ # This needs to be idempotent, as my inotify trainer
+ # may train for each cross-posted message, and this
+ # script already learns for every list in
+ # ~/.public-inbox/config
+ $im->remove($mime, $train);
+ } elsif ($train eq "ham") {
+ # no checking for spam here, we assume the message has
+ # been reviewed by a human at this point:
+ PublicInbox::MDA->set_list_headers($mime, $dst);
- # Ham messages are trained when they're marked into
- # a SEEN state, so this is idempotent:
- $im->add($mime);
+ # Ham messages are trained when they're marked into
+ # a SEEN state, so this is idempotent:
+ $im->add($mime);
+ }
+ $im->done;
}
- $im->done;
}
if ($err) {