将主动消息从Azure函数发送到botservice-节点 [英] Sending Proactive Messages from Azure functions to botservice - node
问题描述
我正在使用botframework v4,但是从v3过来的时候,我没有找到任何与我下面使用的代码(v4)类似的文档,有关从Azure Function App发送主动消息的信息
I am using botframework v4, but coming over from v3, I have not found any documentation that is similar to the code I use below but for v4, regarding sending proactive messages from Azure Function App
下面是我以前使用的代码,但是难以适应:
Below is the code I previously used but am having trouble adapting:
var builder = require('botbuilder');
// setup bot credentials
var connector = new builder.ChatConnector({
appId: process.env.MICROSOFT_APP_ID,
appPassword: process.env.MICROSOFT_APP_PASSWORD
});
module.exports = function (context, req) {
if (req.body) {
var savedAddress = req.body.channelAddress;
var inMemoryStorage = new builder.MemoryBotStorage();
var bot = new builder.UniversalBot(connector).set('storage', inMemoryStorage);
sendProactiveMessage(savedAddress, bot)
}
};
function sendProactiveMessage(address, bot) {
var msg = new builder.Message().address(address);
msg.textLocale('en-US');
var img = {
attachments: [{
contentType: "image/jpg",
contentUrl: latestUrl,
}]
};
msg.addAttachment(img.attachments[0]);
msg.text('hello');
bot.send(msg);
}
这对v3很好,但对v4不好。
This works fine with v3 but not v4.
如果可能的话,我也想找到一种注销用户的方法:
If possible I would also like to find a way to log a user out:
await botAdapter.signOutUser(innerDc.context, this.connectionName);
这是我在机器人本身中的操作方式,但是再次从Azure Functions中这样做很困难
This is how I do it in the bot itself, but doing so from Azure Functions again is proving difficult.
任何帮助将不胜感激。
推荐答案
太棒了正在从v3过渡到v4!您是否看过向用户发送主动通知?此示例非常简单,可以在Azure函数中使用。
Great that you are making the move from v3 to v4! Have you had a look at Send proactive notifications to users? This example is pretty straight forward and can be used within an Azure function.
首先,通过调用 TurnContext.getConversationReference在您的机器人中检索会话引用。 (context.activity);
。您可以在主动功能中使用此参考来打开对话。在您的情况下,您可以通过请求正文将其提供给主动函数,因此在示例中也将这样做。
First you retrieve the Conversation Reference in your bot by calling TurnContext.getConversationReference(context.activity);
. This is the reference you could use in your proactive function to open the conversation. In your case you provide that via the request body to a proactive function, so I will do the same in my example.
我的主动端点示例是用Typescript编写的,但是它在普通Javascript中的工作方式相同。在Azure Functions中创建HTTP触发器,并使用以下代码。我为清楚起见在行中添加了注释。
My proactive endpoint example is written in Typescript, however it works the same way in plain Javascript. Create a HTTP trigger in Azure Functions and use the following code. I have added comments inline for clarity.
const { BotFrameworkAdapter } = require('botbuilder');
// Create adapter.
// If you need to share this adapter in multiple functions, you could
// instantiate it somewhere else and import it in every function.
const adapter = new BotFrameworkAdapter({
appId: process.env.MicrosoftAppId,
appPassword: process.env.MicrosoftAppPassword
});
module.exports = async function (context, req) {
// Validate if request has a body
if (!req.body) {
context.res = {
status: 400,
body: "Please pass a conversation reference in the request body"
};
return;
}
// Retrieve conversation reference from POST body
const conversationReference = req.body;
// Open the conversation and retrieve a TurnContext
await adapter.continueConversation(conversationReference, async turnContext => {
// Send a text activity
// Depending on the channel, you might need to use https://aka.ms/BotTrustServiceUrl
await turnContext.sendActivity('Proactive hello');
});
context.res = {
body: 'Message sent!'
};
};
最后,您可以向此Azure函数发出请求,在其中将会话引用作为正文传递类型为 application / json
。
In the end you could make a request to this Azure Function, where you pass the Conversation Reference as body of the type application/json
.
使用signOutUser等功能扩展此示例很简单。您可以像正常漫游器一样在 continueConversation
函数中调用所有函数。
Extending this example with features like signOutUser is simple. You can call all functions within the continueConversation
function, just as in a normal bot. You can even receive the adapter object there if you wish.
await adapter.continueConversation(conversationReference, async turnContext => {
// Sign user out
turnContext.adapter.signOutUser(turnContext, 'connection-name');
});
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