view mod_lib_ldap/dev/t/02-vcard.t @ 5668:ecfd7aece33b

mod_measure_modules: Report module statuses via OpenMetrics Someone in the chat asked about a health check endpoint, which reminded me of mod_http_status, which provides access to module statuses with full details. After that, this idea came about, which seems natural. As noted in the README, it could be used to monitor that critical modules are in fact loaded correctly. As more modules use the status API, the more useful this module and mod_http_status becomes.
author Kim Alvefur <zash@zash.se>
date Fri, 06 Oct 2023 18:34:39 +0200
parents 8e293681deb5
children
line wrap: on
line source

use strict;
use warnings;
use lib 't';

use TestConnection;
use AnyEvent::XMPP::Ext::VCard;
use MIME::Base64 qw(decode_base64);
use Test::More;

sub test_vcard {
    my ( $username, $expected_fields ) = @_;

    $expected_fields->{'JABBERID'} = $username . '@' . $TestConnection::HOST;
    $expected_fields->{'VERSION'}  = '2.0';

    my $conn  = TestConnection->new($username);
    my $vcard = AnyEvent::XMPP::Ext::VCard->new;

    local $Test::Builder::Level = $Test::Builder::Level + 1;

    $conn->reg_cb(stream_ready => sub {
        $vcard->hook_on($conn);
    });

    $conn->reg_cb(session_ready => sub {
        $vcard->retrieve($conn, undef, sub {
            my ( $jid, $vcard, $error ) = @_;

            if(eval { $vcard->isa('AnyEvent::XMPP::Error') }) {
                $error = $vcard;
            }

            if($error) {
                $conn->cond->send($error->string);
                return;
            }

            delete $vcard->{'_avatar_hash'}; # we don't check this
            delete $vcard->{'PHOTO'};        # PHOTO data is treated specially
                                             # by the vCard extension

            foreach my $key (keys %$vcard) {
                my $value = $vcard->{$key};

                $value = $value->[0] if ref($value) eq 'ARRAY';

                if($value eq '') {
                    delete $vcard->{$key};
                } else {
                    $vcard->{$key} = $value;
                }
            }

            is_deeply $vcard, $expected_fields or diag(explain($vcard));
            $conn->cond->send;
        });
    });

    my $error = $conn->cond->recv;

    if($error) {
        fail($error);
        return;
    }
}

plan tests => 5;

my $photo_data = do {
    local $/;
    my $data = <DATA>;
    chomp $data;

    decode_base64($data)
};

test_vcard(one => {
    FN       => 'John Testerson',
    NICKNAME => 'one',
    TEL      => {
        NUMBER => '555-555-5555',
        WORK   => '',
        VOICE  => '',
    },
});

test_vcard(two => {
    FN       => 'Jane Testerson',
    NICKNAME => 'two',
    TEL      => {
        NUMBER => '',
        WORK   => '',
        VOICE  => '',
    },
});

test_vcard(three => {
    FN       => 'Jerry Testerson',
    NICKNAME => 'three',
    TEL      => {
        NUMBER => '',
        WORK   => '',
        VOICE  => '',
    },
});

test_vcard(four => {
    FN       => 'Jack Testerson',
    NICKNAME => 'four',
    TEL      => {
        NUMBER => '',
        WORK   => '',
        VOICE  => '',
    },
});

test_vcard(five => {
    FN       => 'Jimmy Testerson',
    NICKNAME => 'five',
    TEL      => {
        NUMBER => '',
        WORK   => '',
        VOICE  => '',
    },
    _avatar      => $photo_data,
    _avatar_type => 'image/jpeg',
});

__DATA__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