Planet Jabber

by Erlang Solutions Team at October 10, 2024 09:40 · double

Component "asterisk"
    component_secret = "some random secret 1"
    modules_disabled = { "s2s" }
Component "sip"
    component_secret = "some random secret 2"
    modules_disabled = { "s2s" }
docker pull singpolyma/cheogram-sip:latest
docker run -d \
    --network=host \
    -e COMPONENT_DOMAIN=sip \
    -e COMPONENT_SECRET="some random secret 2" \
    -e ASTERISK_COMPONENT_DOMAIN=asterisk \
    -e ASTERISK_COMPONENT_SECRET="some random secret 1" \
    -e SIP_HOST=sip.yourprovider.example.com \
    -e SIP_USER=your_sip_username \
    -e SIP_PASSWORD=your_sip_password \
    -e SIP_JID=your-jabber-id@yourdomain.example.com \
    singpolyma/cheogram-sip:latest
7973cc2faef01cb2f03d3f2ec59aff9b2001d16b2755b4cc0da48cc92b74d18a  openfire-4.9.0-1.noarch.rpm
a0cd627c629b00bb65b6080e06b8d13376ec0a4170fd27e863af0573e3b4f791  openfire_4.9.0_all.deb
bf62c02b0efe1d37fc505f6942a9cf058975746453d6d0218007b75b908a5c3c  openfire_4_9_0.dmg
1082d9864df897befa47230c251d91ec0780930900b2ab2768aaabd96d7b5dd9  openfire_4_9_0.exe
12a4a5e5794ecb64a7da718646208390d0eb593c02a33a630f968eec6e5a93a0  openfire_4_9_0.tar.gz
c86bdb1c6afd4e2e013c4909a980cbac088fc51401db6e9792d43e532963df72  openfire_4_9_0_x64.exe
97efe5bfe8a7ab3ea73a01391af436096a040d202f3d06f599bc4af1cd7bccf0  openfire_4_9_0.zip

-(id) initWithElement:(NSString*) element;
-(id) initWithElement:(NSString*) element andNamespace:(NSString*) xmlns;
-(id) initWithElement:(NSString*) element andNamespace:(NSString*) xmlns withAttributes:(NSDictionary*) attributes andChildren:(NSArray*) children andData:(NSString* _Nullable) data;
-(id) initWithElement:(NSString*) element withAttributes:(NSDictionary*) attributes andChildren:(NSArray*) children andData:(NSString* _Nullable) data;
-(id) initWithElement:(NSString*) element andData:(NSString* _Nullable) data;
-(id) initWithElement:(NSString*) element andNamespace:(NSString*) xmlns andData:(NSString* _Nullable) data;

MLXMLNode* exampleNode = [[MLXMLNode alloc] initWithElement:@"credentials" andNamespace:@"urn:xmpp:extdisco:2" withAttributes:@{} andChildren:@[
    [[MLXMLNode alloc] initWithElement:@"service"  withAttributes:@{
        @"type": service[@"type"],
        @"host": service[@"host"],
        @"port": service[@"port"],
    } andChildren:@[] andData:nil]
] andData:nil]

-(NSArray*) find:(NSString* _Nonnull) queryString, ... NS_FORMAT_FUNCTION(1, 2);
-(id) findFirst:(NSString* _Nonnull) queryString, ... NS_FORMAT_FUNCTION(1, 2);
-(BOOL) check:(NSString* _Nonnull) queryString, ... NS_FORMAT_FUNCTION(1, 2);

<message from='test@example.org' id='some_id' xmlns='jabber:client'>
    <body>Message text</body>
    <body xmlns='urn:some:different:namespace'>This will NOT be used</body>
</message>

MLXMLNode* message = <the stanza above as MLXMLNode tree>;
NSArray<NSString*>* bodyStrings = [message find:@"body#"];

MLAssert(bodyStrings.count == 1, @"Only one body text should be returned!");
MLAssert([bodyStrings[0] isEqualToString:@"Message text", @"The body with inherited namespace 'jabber:client' should be used!");

<message from='test@example.org' id='some_id' xmlns='jabber:client'>
    <body>Message text</body>
</message>

MLXMLNode* message = <the stanza above as MLXMLNode tree>;
NSString* messageId = [message findFirst:@"/@id"];

MLAssert([messageId isEqualToString:@"some_id", @"The extracted message id should be 'some_id'!");

<stream:error>
    <not-well-formed xmlns='urn:ietf:params:xml:ns:xmpp-streams'/>
    <text xmlns='urn:ietf:params:xml:ns:xmpp-streams'>Some descriptive Text...</text>
</stream:error>

MLXMLNode* streamError = <the stanza above as MLXMLNode tree>;
NSString* errorReason = [streamError findFirst:@"{urn:ietf:params:xml:ns:xmpp-streams}!text$"];

MLAssert([errorReason isEqualToString:@"not-well-formed"], @"The extracted error should be 'not-well-formed'!");

<iq id='605818D4-4D16-4ACC-B003-BFA3E11849E1' to='user@example.com/Monal-iOS.15e153a8' xmlns='jabber:client' type='result' from='asdkjfhskdf@messaging.one'>
    <pubsub xmlns='http://jabber.org/protocol/pubsub'>
        <subscription node='eu.siacs.conversations.axolotl.devicelist' subid='6795F13596465' subscription='subscribed' jid='user@example.com'/>
    </pubsub>
</iq>

MLXMLNode* iq = <the stanza above as MLXMLNode tree>;
NSString* subscriptionStatus = [iq findFirst:@"/<type=result>/{http://jabber.org/protocol/pubsub}pubsub/subscription<node=%@><jid=%@>@subscription", @"eu.siacs.conversations.axolotl.devicelist", @"user@example.com"];

MLAssert([subscriptionStatus isEqualToString:@"subscribed"], @"The extracted value of the subscription attribute should be 'subscribed'!");

<iq type='result' id='juliet1'>
  <fin xmlns='urn:xmpp:mam:2' complete='true'>
    <set xmlns='http://jabber.org/protocol/rsm'>
      <first index='0'>28482-98726-73623</first>
      <last>09af3-cc343-b409f</last>
    </set>
  </fin>
</iq>

MLXMLNode* iqNode = <the stanza above as MLXMLNode tree>;
if([[iqNode findFirst:@"{urn:xmpp:mam:2}fin@complete|bool"] boolValue])
    DDLogInfo(@"Mam query finished")

<message from='romeo@montague.net/orchard' to='juliet@capulet.com' type='chat'>
    <body>O blessed, blessed night! I am afeard.</body>
    <delay xmlns='urn:xmpp:delay' from='capulet.com' stamp='2002-09-10T23:08:25Z'/>
</message>

MLXMLNode* messageNode = <the stanza above as MLXMLNode tree>;
NSDate* delayStamp = [messageNode findFirst:@"{urn:xmpp:delay}delay@stamp|datetime"];

MLAssert(delayStamp.timeIntervalSince1970 == 1031699305, @The delay stamp should be 1031699305 seconds after the epoch!");

<iq from='upload.montague.tld' id='step_02' to='romeo@montague.tld/garden' type='result'>
  <query xmlns='http://jabber.org/protocol/disco#info'>
    <identity category='store' type='file' name='HTTP File Upload' />
    <feature var='urn:xmpp:http:upload:0' />
    <x type='result' xmlns='jabber:x:data'>
      <field var='FORM_TYPE' type='hidden'>
        <value>urn:xmpp:http:upload:0</value>
      </field>
      <field var='max-file-size'>
        <value>5242880</value>
      </field>
    </x>
  </query>
</iq>

MLXMLNode* iqNode = <the stanza above as MLXMLNode tree>;
NSInteger uploadSize = [[iqNode findFirst:@"{http://jabber.org/protocol/disco#info}query/\\{urn:xmpp:http:upload:0}result@max-file-size\\|int"] integerValue];

MLAssert(uploadSize == 5242880, @"Extracted upload size should be 5242880 bytes!");

Aspect	Traditional AI	Generative AI
Applications	Is most commonly used for data analysis, forecasting, and optimisation tasks where rules are well-defined.	Best for tasks such as image recognition, natural language processing (NLP), and sentiment analysis, where patterns in unstructured data are key.
Data- handling	Best for structured data and tasks requiring precise, rule-based decision-making.	Best at managing and interpreting large volumes of unstructured data, such as images, videos, and text.
Rules-based v learning-based	Operates on explicit rules that are programmed by humans.	Learns from data and adapts its behaviour according to the patterns it discovers.
Flexibility and adaptability	Rigid and less adaptable. It requires manual updates to handle new and/or unexpected situations.	Highly flexible and capable of learning from diverse datasets. It can adjust to new scenarios without manual intervention.
Creativity and autonomy	Lacks creative abilities and autonomy and is confined to predefined rules and tasks.	Highly capable of autonomously generating content, such as images and text, demonstrating creativity beyond rule-based systems.
Learning capabilities	Is dependent on predefined rules and algorithms and requires human intervention for updates or adjustments.	It utilises deep learning to continuously improve by analysing data, identifying patterns, and making predictions, making it highly adaptable.

Planet Jabber

October 10, 2024

The impact of Oracle Java’s pricing changes

A change to subscription

Impact on Oracle Java SE user base

Lessons from Oracle Java SE

The advantages of open source technologies for Fintech

Cost-effectiveness

A solution to big tech monopolies

Transparent and secure solutions

Ongoing community support

Interoperability

Future-proofing for longevity

Open Source powering Fintech trends

AI and fintech innovation

Blockchain and fintech

Hyper-personalisation

Consumer demand for personalisation

Real-world examples of open-source fintech

Erlang and Elixir: Open Source solutions for fintech applications

Why Erlang and Elixir are ideal for Fintech:

Open-source fintech use cases

Erlang and Elixir -supporting future fintech trends

To conclude

October 08, 2024

October 04, 2024

XSF Announcements

XMPP and Google Summer of Code 2024

XSF Fiscal Hosting Projects

XMPP Events

Videos

XMPP Articles

XMPP Software News

XMPP Clients and Applications

XMPP Servers

XMPP Libraries & Tools

Extensions and specifications

Proposed

New

Deferred

Updated

Last Call

Stable

Deprecated

Rejected

Spread the news

Subscribe to the monthly XMPP newsletter

Newsletter Contributors & Translations

Help us to build the newsletter

Unsubscribe from the XMPP Newsletter

License

October 03, 2024

Systems with High Availability

High Availability for Software Systems

Implementing Processes-Pairs Strategies

Elixir and High Availability

About the process

To conclude

October 02, 2024

Introduction to XMPP

A Brief History

XMPP: Open, Extensible, XML Instant Messaging

Open Standard Benefits

XML Data

Extending XMPP

XMPP Networks Explained

Addresses - Just Like Email

Server Federation

Conclusion

A Distributed Protocol That Replicates Data Across Federated Servers

Resource Penalty: Computing and Storage

Comparison with XMPP

What’s Next for XMPP?

What’s Next for Matrix?

September 30, 2024

What’s New

What else happened

Support Gajim

September 28, 2024

Caveats