The Microsoft Bot Builder SDK is one of three main components of the Microsoft Bot Framework. The Microsoft Bot Framework provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Teams, Slack, Office 365 mail and other popular services.
Hi, I would like to setup a resourceExplorer capable of loading .dialog/.lu/.lg dialog. From the tests I tried to mimic loading resources, but it doesn't go well.
new AdaptiveBotComponent().configureServices(services, noOpConfiguration);
const declarativeTypes: any[] = services.mustMakeInstance('declarativeTypes');I suspect that noOpConfiguration wouldn't make the cut. How can I setup this kind of configuration (botbuilder-dialogs-adaptive-runtime.Configuration)? It only contains a get and a set method.
3 replies
BotBuilder-Samples have a kind of sample, that integrates Composer's dialogs (numbered 09). In my case I work in typescript, so I initially try to copy the functionality from "\experimental\adaptive-dialog\javascript_nodejs\". That experimental code is subject to change, and had a hint for me, that it can't use luis yet (resourceExplorer.getResource('main-without-luis.dialog');.
In a later version (actual rc), there is an option to give a declarative dialog a recognizer + language generator. Which I did. Recognizer is setup dynamically, language generator left done with declarative way. Am I on the right track? Or is it mature enough only in the dotnet api (https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-adaptive-dialog-introduction?view=azure-bot-service-4.0 sais "Adaptive dialogs is currently only available in the .NET version of the Bot Framework SDK", but it's a statement from 06/24/2020)?
when I import a .dialog with
const dialogResource: Resource = resourceExplorer.getResource('Intellifactory-bot.dialog');
const dialog: AdaptiveDialog = resourceExplorer.loadType(dialogResource);the dialog defines a language generation resource within the .dialog file
...
"value": "={age:dialog.userage, shoeSize:dialog.shoeSize, fullname:dialog.fullname}"
}
]
}
],
"$schema": "https://raw.githubusercontent.com/microsoft/BotFramework-Composer/stable/Composer/packages/server/schemas/sdk.schema",
"generator": "main-without-luis.lg"
}. The resourceExplorer can import it declaratively.
const mainLgResource: Resource = resourceExplorer.getResource('Intellifactory-bot.en-us.lg');
const commonResource: Resource = resourceExplorer.getResource('common.en-us.lg');
dialog.generator = new TemplateEngineLanguageGenerator(mainLgResource, new Map<string, Resource[]>([['en-us', [mainLgResource, commonResource]]]));is it possible for resourceExplorer.loadType to do it automatically? So I don't have to override the dialog.generator?
2 replies
Microsoft.AspNetCore.Server.Kestrel.Core: StatusCode cannot be set because the response has already started.
The invoke call is this
SendInvokeResponse(body)
[Activity
type = invokeResponse
value = ${{status: 200, body: body}}
]
Any idea why this is happening?
3 replies
@alinealfa There's no Orchestrator solution at this time in Python. The team has been focused on JS and C#.
What are you doing that needs the routing functionality? If that's a core scenario, such as you're routing between skills, you may want to consider building a Skill in python but keeping your core bot in JS and C#.
CONFIG.SLACK_CLIENT_SIGNING_SECRET. TypeError: init() takes 1 positional argument but 4 were given. I have not changed the code apart from adding the Slack credentials. Thanks!
Depending on the UX requirements, sometimes we end up having to deal with specific code for each channel (and making a lot use of the channelid). I was trying to keep the codebase as generic as possible, so that including more channels would be almost painless. But the adaptive cards (and equivalent on each channel) and also the possibility to update an activity is really interesting for the project. And the main channels required by the project do support updating activity and adaptive card (or equivalent); each channel on its way.
Suggestion: include on repo BotBuilder-Samples (https://github.com/microsoft/BotBuilder-Samples) an example of such scenario for helping the comunity to achieve a nice initial architecture, since I believe this tends to be a very common use case. I would be willing to contribute.
