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Query end points the listeners within TQLEngine A-Stack which is ready to take any TQL Query requests (CRUD Queries) and send the response back to the user.

Query endpoints are generated when TQL Facet type is instantiated using NewFacetInstance as part of package definition. The format of the published endpoint is below: 


Format of Published Endpoint

 


There are two end points created with standard project deployment (defined in package definition)

...

Supported Protocol Handler

Protocol nameProtocol Prefix
HTTP/Shttp://
Peripheralperif://
Phidgetphid://
UCAMucam://
Bluetooth / BLEblth://
Websocketws://

...


Example of Published Query Endpoint

Facet Type NameSffTqlFacet
Language SupportThing Interaction Language (TIL) - TQL CRUD Queries requested via <Query> tag.
Transports

HttpServerExtensionArgs

WsServerExtensionArgs

Usage

 Facet Types are used using <NewFacetInstance> when creating a Package (Deployment) definition for your models.

Code Block
language
xml
ruby
titleSffTqlFacet Example
linenumberstrue
<!--
# Typical TQL Facet Definition
--> <NewFacetInstance fid=
NewFacetInstance(fid: "samplequeries", 
Name
=
: "TQL", Type
=
: "SffTqlFacet"
>
):
<OnActivate>
    OnActivate:
        
<!--
# Associate other facet types; Either Private or Public Instances
--> <NewFacetInstance name=

        NewFacetInstance(name: "tqlwfws", type
=
: "SffWdlFacet"
/> <!--
) # Private Instance of wdl facet
--> <NetworkFacet>?cluster</NetworkFacet> <!--
        NetworkFacet: "?cluster"  # Public Instance of Network Facet
--> <TopicFacet>?TQLGenericTopic</TopicFacet> <!--

        TopicFacet: "?TQLGenericTopic"  # Public Instance of Topic Facet
--> <ImportFacet>

        ImportFacet: 
            [:RuntimeParams.MacroFacetID:]
</ImportFacet> <!--
  # Private Instance of Msg facet
--> <Process>

        Process: 
            
<!--
# Define TQL Storage Scheme
--> <Storage Name=

            Storage(Name: "[:RuntimeParams.TQLCacheName:]", Type
=
: "SqlSff", 
Comment=
Comment: "[:RuntimeParams.TQLCacheName:] Database SFF Unstructured SQL database")
/>
            
<!--
# Specify the Model Definition file (TDL). Normally consists of Model definitions
--> <Namespace> <Include>cloud.dbm.xml</Include> </Namespace> </Process> </OnActivate> <OnOpen ModifyPipeline="WsServerExtensionArgs" /> <OnRequest> <DoRequest> <!-- HandOff

            Namespace: 
                Include: cloud.dbm.xml
    OnOpen(ModifyPipeline: "WsServerExtensionArgs")
    OnRequest:    
        #HandOff the request to Facet
--> <Process Return="CMD_NOP"> <Message> <Value> <Include>$Request.Message.Value</Include> </Value> </Message> </Process> </DoRequest> <DoResponse> <!--

        DoRequest: 
            Process Return: "CMD_NOP"):
                Message: 
                    Value: 
                        Include: $Request.Message.Value
        DoResponse:  # Process the response from Facet or send it straight through
--> <Process> <Message type=

            Process: 
                Message(type: "[:RuntimeParams.TQLOutputFormat:]"
> <Value> <Include>$Response.Message.Value</Include> </Value> </Message> </Process> </DoResponse> </OnRequest> </NewFacetInstance>
):
                    Value: 
                        Include: $Response.Message.Value


Endpoint Generated

ws://<HostName>:<PortNumber>/fid-samplequeries

Where PortNumber is the port on which

TQLEngine

A-Stack is started and <HostName> is the engine machine IP address


TQLStudio 

 When models are built using Model Editor and deploy to TQLEngine A-Stack in the cloud or the project imported into local TQLEngineA-Stack, the Query endpoints are automatically generated because of the fixed package definition. The endpoints are unique for each project. This could be one way to protect your endpoints for unauthorized access.