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OneDev 11.9.6
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Projects tigase _clients beagle-im Issues #281
Avatars don't seem to be cache (#281)
Wojciech Kapcia (Tigase) opened 5 years ago

(maybe related to #issue #143)

I noticed that BeagleIM is still somewhat "chatty" in the XML console. I took a look and it seems that avatar cache is not working correctly (?!).

Yesterday following stanza exchange took place (connect to conversations room, receive presence from participants with photo info):

<!--   2020-09-01T16:47:30Z   <<<<   -->
<presence from='conversations@conference.siacs.eu/briest' xml:lang='en' to='wojtek@tigase.org/1702398793-tigase-3' xmlns='jabber:client'>
<c xmlns='http://jabber.org/protocol/caps' hash='sha-1' node='http://conversations.im' ver='pL5gGuMAbpPTKzKf/uTiQZYet90='/>
<x xmlns='vcard-temp:x:update'>
<photo>759c48fabeed2e40006055e340e0882c2692d0bb</photo>
</x>
<x xmlns='http://jabber.org/protocol/muc#user'>
<item affiliation='none' role='participant'/>
</x>
</presence>

Which resulted in query for actual photo payload:

<!--   2020-09-01T16:47:30Z   >>>>   -->
<iq id='2689627B-6083-4B14-BA54-548736AFB1AC' type='get' to='conversations@conference.siacs.eu/briest'>
<vcard xmlns='urn:ietf:params:xml:ns:vcard-4.0'/>
</iq>

<!--   2020-09-01T16:47:30Z   >>>>   -->
<iq id='61F098C3-DF8C-4946-A65E-753542D3B59D' type='get' to='conversations@conference.siacs.eu/briest'>
<vCard xmlns='vcard-temp'/>
</iq>


<!--   2020-09-01T16:47:46Z   <<<<   -->
<iq type='result' xmlns='jabber:client' id='61F098C3-DF8C-4946-A65E-753542D3B59D' from='conversations@conference.siacs.eu/briest' to='wojtek@tigase.org/1702398793-tigase-3'>
<vCard xmlns='vcard-temp'>
<PHOTO>
<BINVAL>UklGRp4dAABXRUJQVlA4IJIdA  …   PAAwFcAAA</BINVAL>
</PHOTO>
<NICKNAME>briest</NICKNAME>
</vCard>
</iq>

Today, during same flow for the same user with the same photo hash the photo was queried again:

<!--   2020-09-02T15:49:16Z   <<<<   -->
<presence xml:lang='en' from='conversations@conference.siacs.eu/briest' xmlns='jabber:client' to='wojtek@tigase.org/1702398793-tigase-4'>
<c xmlns='http://jabber.org/protocol/caps' node='http://conversations.im' ver='pL5gGuMAbpPTKzKf/uTiQZYet90=' hash='sha-1'/>
<x xmlns='vcard-temp:x:update'>
<photo>759c48fabeed2e40006055e340e0882c2692d0bb</photo>
</x>
<x xmlns='http://jabber.org/protocol/muc#user'>
<item role='participant' affiliation='none'/>
</x>
</presence>



<!--   2020-09-02T15:49:16Z   >>>>   -->
<iq to='conversations@conference.siacs.eu/briest' id='6971703A-9D77-41A0-8050-A9D14DE395A7' type='get'>
<vcard xmlns='urn:ietf:params:xml:ns:vcard-4.0'/>
</iq>

<!--   2020-09-02T15:49:16Z   >>>>   -->
<iq to='conversations@conference.siacs.eu/briest' id='A44B6E06-4F2B-4508-907F-9A3807CAF612' type='get'>
<vCard xmlns='vcard-temp'/>
</iq>



<!--   2020-09-02T15:49:48Z   <<<<   -->
<iq from='conversations@conference.siacs.eu/briest' id='A44B6E06-4F2B-4508-907F-9A3807CAF612' xmlns='jabber:client' type='result' to='wojtek@tigase.org/1702398793-tigase-4'>
<vCard xmlns='vcard-temp'>
<PHOTO>
<BINVAL>UklGRp4dAABXRUJQVlA4IJIdAAASXwCdASrAAMAAP … PVESvhO+qkc/zBmd8Hsh1y9Qka/PAAwFcAAA</BINVAL>
</PHOTO>
<NICKNAME>briest</NICKNAME>
</vCard>
</iq>

(binval is about 10K)

  • Andrzej Wójcik (Tigase) commented 5 years ago

    @wojtek it looks like there is some issue that make unable for Beagle to know that it already has that avatar. I'm checking if file is on disk, so it would suggest that it is removed what is possible as macOS may occasionally clean this temporary folder. Another thing may be that the image data do not match hash calculated by Beagle. Could you check that for this people avatars are shown? (if not, that would suggest hash do not match data).

  • Wojciech Kapcia (Tigase) commented 5 years ago

    It seems that the avatar is not there:

    wojtek@atlantiscity.local ~/dev $ ls -lah /Users/wojtek/Library/Containers/org.tigase.messenger.BeagleIM/Data/Library/Caches/org.tigase.messenger.BeagleIM/avatars | wc -l
1493
wojtek@atlantiscity.local ~/dev $ ls -lah /Users/wojtek/Library/Containers/org.tigase.messenger.BeagleIM/Data/Library/Caches/org.tigase.messenger.BeagleIM/avatars | grep 759c48fabeed2e40006055e340e0882c2692d0bb | wc -l
0

    Full payload.

    <!--   2020-09-02T15:49:48Z   <<<<   -->
<iq from='conversations@conference.siacs.eu/briest' id='A44B6E06-4F2B-4508-907F-9A3807CAF612' xmlns='jabber:client' type='result' to='wojtek@tigase.org/1702398793-tigase-4'>
<vCard xmlns='vcard-temp'>
<PHOTO>
<BINVAL>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</BINVAL>
</PHOTO>
<NICKNAME>briest</NICKNAME>
</vCard>
</iq>
  • Wojciech Kapcia (Tigase) commented 5 years ago

    Just out curiosity I checked if the image matches the hash and it does:

    $ base64 -d avatar > avatar.webp
$ sha1sum avatar.webp
759c48fabeed2e40006055e340e0882c2692d0bb  avatar.webp

    Btw. Can Beagle handle webp? and wouldn't the format prevent it from saving it and thus skipping being cached?

  • Andrzej Wójcik (Tigase) commented 5 years ago

    The issue is not even with BeagleIM being able to handle a format of a file but the XML which is sent as a vcard. (I'm saving data without checking if I can present the image).

    According to XEP-0153:

    The <PHOTO/> element SHOULD contain a <TYPE/> child whose XML character data specifies the content-type of the image data. The XML character data SHOULD be "image/gif", "image/jpeg", or "image/png".

    I suppose that, as I require <TYPE/> tag if <BINVAL/> is used is what is causing the issue as without it, <PHOTO/> is considered invalid. However, I should as well enforce specifying <TYPE/> when publishing the vcard... that makes it difficult to actually enforce if I need to allow a null value.

    However, XEP has SHOULD as it is expected from the clients to send <TYPE/> and they are allowed no to do so, only for a good reasons.

    Moreover, our VCard4<->VCardTemp converter in Tigase also requires <TYPE/> as it is unable to work without it (it cannot convert base64 encoded data to data URI without knowing the image type).

    So the question here is, how to solve it. On one side, it is allowed but not recommended to send <BINVAL/> without <TYPE/> on the other side people just don't obey the rules and do whatever they want.

  • Andrzej Wójcik (Tigase) commented 5 years ago

    @wojtek What do you think?

  • Wojciech Kapcia (Tigase) commented 5 years ago

    OK, we have a couple of issues here and it boils down to user using non-standard filetype - it's not on the list in specification -> <TYPE/> should not be present ("If the is something other than image/gif, image/jpeg, or image/png, it SHOULD be ignored.")

    What we could/should do:

    1. Beagle's cache - I think we could ignore lack of <TYPE/> here - you have the hash and can calculate it, you can save the image (and most likely even display it as you don't use TYPE AFAIR)
    2. Setting avatar in Beagle - you said " I should as well enforce specifying…" but considering the XEP, TYPE is optional and format is not limited to those (SHOULD vs MUST). To be compatible we could limit types only to those listed in the XEP but I sense that there is some issue with enforcing it here and NOT checking it in (1) -- same verifier used perhaps?
    3. I think that in this case (considering reluctance from (2)) it doesn't matter that much as users may use different clients with Tigase Server (so they could send whatever vcard avatar and that would be out of our hands as we don't control those clients); however - it should be possible to determine type of the image from the binary data itself (in the end it has to be embedded in the file header to properly handle it by the OS). Btw why exactly do we require it for the conversion?
  • Andrzej Wójcik (Tigase) commented 5 years ago

    We need this type (mimetype) to create data URI from base64 encoded binary data, ie. from type image/jpeg and data AAAAAAAAAA we need to construct data:image/jpeg;base64,AAAAAAAAAA as this is required by vcard4.

  • Wojciech Kapcia (Tigase) commented 5 years ago

    OK, but as I said (regarding (3)) - in the worst case scenario (someone not sending <TYPE/>) if we want to make the conversion viable it could be derived from file signature from the payload itself (see List of file signatures) - slightly inefficient but considering we are inly interested in image files and cases when no TYPE was send it could be used as a fallback.

    However, the gist of this issue is (1) (and to some extend (2)). I'm not sure if we should dedicate time to (3)

  • Wojciech Kapcia (Tigase) commented 5 years ago

    OK, I just noticed another thing (which seems to discard theory about missing TYPE) - even with payloads that have TYPE the avatar/picture is not stored:

    This morning presence was received, Beagle queried for avatar and got it. After restart it happened again (and nothing was saved in cache path)

    <!--   2020-09-03T16:17:34Z   <<<<   -->
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<c xmlns='http://jabber.org/protocol/caps' ver='KWQQsqlerqQGIyKLIQTBsn7Adho=' hash='sha-1' node='http://conversations.im'/>
<x xmlns='vcard-temp:x:update'>
<photo>511bd87905a55d659ee6c17b74fdb5caff9af614</photo>
</x>
<x xmlns='http://jabber.org/protocol/muc#user'>
<item affiliation='none' role='participant'/>
</x>
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<!--   2020-09-03T16:18:04Z   <<<<   -->
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    <!--   2020-09-04T00:24:51Z   <<<<   -->
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</BINVAL>
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</iq>
  • Andrzej Wójcik (Tigase) commented 5 years ago

    I'm not sure why this file was not created, however I suppose that there could be a case when file could be removed (I do not know how or when, but I see that this could be possible).

    I've improved VCard API to return more details to the client and improved logging so we could always check. I've also relaxed restriction related to requirement of TYPE tag by TigaseSwfit. That should improve behaviour of BeagleIM.

  • Wojciech Kapcia (Tigase) commented 5 years ago

    It seems to still be happening with version Version 4.1 (104)

    <!--   2020-10-02T15:19:34Z   <<<<   -->
<presence xmlns='jabber:client' id='88e6892f-971a-46d8-abbe-a32d81216378' xml:lang='en' to='wojtek@tigase.org/1009101153-tigase-31' from='conversations@conference.siacs.eu/gabriel'>
<c hash='sha-1' ver='oApYKkYpnFqaD/yVS4CyldPwg9A=' xmlns='http://jabber.org/protocol/caps' node='https://gajim.org'/>
<x xmlns='vcard-temp:x:update'>
<photo>d1ab474eb8cbb2b0e4609aa9c66af1ac02434828</photo>
</x>
<x xmlns='http://jabber.org/protocol/muc#user'>
<item role='participant' affiliation='none'/>
</x>
</presence>

<!--   2020-10-02T15:19:35Z   >>>>   -->
<iq type='get' to='conversations@conference.siacs.eu/gabriel' id='5682A0CF-17E4-4295-9347-AA328B665EEB'>
<vCard xmlns='vcard-temp'/>
</iq>

<!--   2020-10-02T15:19:37Z   <<<<   -->
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<vcard xmlns='vcard-temp'>
<PHOTO>
<TYPE>image/jpeg</TYPE>
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</BINVAL>
</PHOTO>
</vcard>
</iq>

    Yet no file is saved:

    wojtek@atlantiscity.local ~/dev $ ls -lah /Users/wojtek/Library/Containers/org.tigase.messenger.BeagleIM/Data/Library/Caches/org.tigase.messenger.BeagleIM/avatars | wc -l
1602
wojtek@atlantiscity.local ~/dev $ ls -lah /Users/wojtek/Library/Containers/org.tigase.messenger.BeagleIM/Data/Library/Caches/org.tigase.messenger.BeagleIM/avatars | grep d1ab474eb8cbb2b0e4609aa9c66af1ac02434828
wojtek@atlantiscity.local ~/dev

    This particular account was queried at:

    <!--   2020-10-02T15:19:37Z   <<<<   -->
<!--   2020-10-05T15:50:39Z   <<<<   -->
<!--   2020-10-06T15:35:21Z   <<<<   -->

    I noticed this one is also not stored

    <!--   2020-10-06T15:35:20Z   <<<<   -->
<iq from='conversations@conference.siacs.eu/fenny' type='result' id='8399A286-6E23-4506-9E86-409E21DC1AF1' xmlns='jabber:client' to='wojtek@tigase.org/1009101153-tigase-57'>
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</BINVAL>
<TYPE>image/png</TYPE>
</PHOTO>
</vCard>
</iq>

    And there is also one with empty vcard, but I'd say it's an outlier (and I'm not sure we should handle it):

    <!--   2020-10-06T15:35:19Z   <<<<   -->
<presence to='wojtek@tigase.org/1009101153-tigase-57' from='conversations@conference.siacs.eu/chema' xmlns='jabber:client' xml:lang='en'>
<c node='http://conversations.im' ver='KWQQsqlerqQGIyKLIQTBsn7Adho=' xmlns='http://jabber.org/protocol/caps' hash='sha-1'/>
<x xmlns='vcard-temp:x:update'>
<photo>da39a3ee5e6b4b0d3255bfef95601890afd80709</photo>
</x>
<x xmlns='http://jabber.org/protocol/muc#user'>
<item role='participant' affiliation='none'/>
</x>
</presence>

<!--   2020-10-06T15:35:19Z   >>>>   -->
<iq type='get' to='conversations@conference.siacs.eu/chema' id='A90A6400-387B-4648-A349-EB35578BCD82'>
<vCard xmlns='vcard-temp'/>
</iq>

<!--   2020-10-06T15:35:20Z   <<<<   -->
<iq to='wojtek@tigase.org/1009101153-tigase-57' from='conversations@conference.siacs.eu/chema' id='A90A6400-387B-4648-A349-EB35578BCD82' xmlns='jabber:client' type='result'>
<vCard xmlns='vcard-temp'>
<PHOTO>
<TYPE>image/jpeg</TYPE>
<BINVAL/>
</PHOTO>
</vCard>
</iq>
  • Andrzej Wójcik (Tigase) commented 5 years ago

    I'm going to start with some answers for each example and then sum up.

    For gabriel the issue is in the following part of the XML:

    <vcard xmlns='vcard-temp'>

    Namespace is correct but the element name is not. It should be vCard not vcard!

    As for fenny the advertised photo hash in presence is 0be49ce1725b0648dfbdc9cf50b66d272aab9f38:

    <!--   2020-10-07T12:14:50Z   <<<<   -->
<presence from='conversations@conference.siacs.eu/fenny' to='andrzej@hi-low.eu/iMac (Andrzej)' xmlns='jabber:client'>
<c ver='AhE2lHombaVuLH+aGV2OP7ARqCY=' hash='sha-1' node='http://conversations.im' xmlns='http://jabber.org/protocol/caps'/>
<x xmlns='vcard-temp:x:update'>
<photo>0be49ce1725b0648dfbdc9cf50b66d272aab9f38</photo>
</x>
<x xmlns='http://jabber.org/protocol/muc#user'>
<item role='participant' affiliation='none'/>
</x>
</presence>

    while extracted photo from fetched vCard returns: a2f7903c6278123c33faeae60b759e838488a5c6:

    ➜ base64 --decode -i fenny.base64.txt -o fenny.png

➜ sha1sum fenny.png 
a2f7903c6278123c33faeae60b759e838488a5c6  fenny.png

    as you can see a2f7903c6278123c33faeae60b759e838488a5c6 != 0be49ce1725b0648dfbdc9cf50b66d272aab9f38.

    As you can see we have 2 cases which can be generalized to a single case: User's client advertises photo hash of vCard photo which does not match!.

    It does not matter if there is invalid vCard or a vCard without photo or a vCard without photo which hash matches. It basically means that I do not have anything to display and as I'm receiving photo hash of unknown photo I need to query those JIDs for vCard every damn time. That is an issue with vCard-temp protocol and it cannot be easily overcome. I cannot cache photo hash for invalid photos even in pair with nickname of a sender as someone else may join with the same nickname with the same photo hash and it can be there!

    If you wish, we can discuss this, but current behaviour is correct.

    btw. I've even encountered some clients sending UUID as a photo hash, so I've added validation if photo hash is a correct SHA1 result.

  • Andrzej Wójcik (Tigase) commented 5 years ago

    btw. You can run following command from the console and it will return avatars photo hashes which it looks for and number of photos found in the vCard (not a number of matching photos):

    sudo log show --start "2020-10-07 05:00:00" --predicate 'subsystem == "org.tigase.messenger.BeagleIM"' --debug
  • Wojciech Kapcia (Tigase) commented 5 years ago

    Regarding lowercase: https://github.com/maranda/metronome/issues/526 Regarding mismatch in published and calculated hash: I brought the topic in jdev MUC but without much discussion / nothing conclusive (this is how things works/doesn't work, period).

    Let's consider it "done" as it works now according to the specification. We can't help with misbehaving clients.

  • Andrzej Wójcik (Tigase) commented 5 years ago

    I agree. We could close it.

issue 1 of 1
Type
Bug
Priority
Normal
Assignee
Wojciech Kapcia (Tigase)
Version
4.1
Spent time
0
Issue Votes (0)
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Reference
tigase/_clients/beagle-im#281
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