Avatars don't seem to be cache (#281)
Closed
wojciech.kapcia@tigase.net opened 4 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 4 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.net commented 4 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.net commented 4 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 4 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 4 years ago

@wojtek What do you think?

wojciech.kapcia@tigase.net commented 4 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 4 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.net commented 4 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.net commented 4 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   <<<<   -->
<presence xml:lang='en' to='wojtek@tigase.org/1702398793-tigase-5' xmlns='jabber:client' from='conversations@conference.siacs.eu/koimoji'>
<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>
</presence>

<!--   2020-09-03T16:18:04Z   <<<<   -->
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<vCard xmlns='vcard-temp'>
<PHOTO>
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</BINVAL>
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<!--   2020-09-04T00:24:51Z   <<<<   -->
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<PHOTO>
<BINVAL>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</BINVAL>
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</PHOTO>
</vCard>
</iq>
Andrzej Wójcik (Tigase) commented 4 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.net commented 4 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'>
<vCard xmlns='vcard-temp'>
<PHOTO>
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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 4 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 4 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.net commented 4 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 4 years ago

I agree. We could close it.

issue 1 of 1
Type
Bug
Priority
Normal
Assignee
Version
4.1
Spent time
10h
Issue Votes (0)
Watchers (0)
Reference
tigase/_clients/beagle-im#281
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