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with Google Dialogflow and Azure Storage?

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Create Context with Google Dialogflow API on Blob Deleted from Azure Storage API
Azure Storage + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Blob Created from Azure Storage API
Azure Storage + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Container Created from Azure Storage API
Azure Storage + Google Dialogflow
 
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Create Entities with Google Dialogflow API on Blob Deleted from Azure Storage API
Azure Storage + Google Dialogflow
 
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Create Entities with Google Dialogflow API on New Blob Created from Azure Storage API
Azure Storage + Google Dialogflow
 
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Blob Deleted from the Azure Storage API

Emit new event when a blob is deleted from a specified container in Azure Storage. See the documentation

 
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New Blob Created from the Azure Storage API

Emit new event when a new blob is created to a specified container in Azure Storage. See the documentation

 
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New Container Created from the Azure Storage API

Emit new event when a new container is created in the specified Azure Storage account. See the documentation

 
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Create Context with the Google Dialogflow API

Creates a context, See REST docs and client API

 
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Create Entities with the Google Dialogflow API

Batch create entities, See REST docs and client API docs

 
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Create Container with the Azure Storage API

Creates a new container under the specified account. If a container with the same name already exists, the operation fails. See the documentation

 
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Create Entity Type with the Google Dialogflow API

Creates an Entity Type, See REST docs and client API docs

 
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Delete Blob with the Azure Storage API

Deletes a specific blob from a container in Azure Storage. See the documentation

 
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Integrate the Google Dialogflow API with the Azure Storage API
Setup the Google Dialogflow API trigger to run a workflow which integrates with the Azure Storage API. Pipedream's integration platform allows you to integrate Google Dialogflow and Azure Storage remarkably fast. Free for developers.

Overview of Google Dialogflow

Google Dialogflow API empowers you to create conversational interfaces for websites, apps, and messaging platforms. Think chatbots that can engage in human-like dialogue, provide customer support, guide through sales processes, or control smart home devices with voice commands. With Pipedream's integration capabilities, you can create automated workflows that trigger actions in other apps based on Dialogflow's processed input, enabling seamless interaction across a plethora of services.

Connect Google Dialogflow

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module.exports = defineComponent({
  props: {
    google_dialogflow: {
      type: "app",
      app: "google_dialogflow",
    }
  },
  async run({steps, $}) {
    // Example code from the Dialogflow Node.js library:
    // https://github.com/googleapis/nodejs-dialogflow
    const dialogflow = require('dialogflow')
    const uuid = require('uuid')
    
    // A unique identifier for the given session
    const sessionId = uuid.v4()
    
    const key = JSON.parse(this.google_dialogflow.$auth.key_json)
     
    // Creates a session client from a Google service account key.
    const sessionClient = new dialogflow.SessionsClient({
      projectId: key.project_id,
      credentials: {
        client_email: key.client_email,
        private_key: key.private_key,
      }
    })
    const sessionPath = sessionClient.sessionPath(key.project_id, sessionId)
    
    // The text query request.
    const request = {
      session: sessionPath,
      queryInput: {
        text: {
          // The query to send to the dialogflow agent
          text: 'hello',
          // The language used by the client (en-US)
          languageCode: 'en-US',
        },
      },
    }
    
    // Send request and log result
    const responses = await sessionClient.detectIntent(request)
    console.log('Detected intent')
    const result = responses[0].queryResult
    console.log(`Query: ${result.queryText}`)
    console.log(`Response: ${result.fulfillmentText}`)
    if (result.intent) {
      console.log(`Intent: ${result.intent.displayName}`)
    } else {
      console.log(`No intent matched.`)
    }
  },
})

Connect Azure Storage

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    azure_storage: {
      type: "app",
      app: "azure_storage",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://graph.microsoft.com/v1.0/me`,
      headers: {
        Authorization: `Bearer ${this.azure_storage.$auth.oauth_access_token}`,
      },
    })
  },
})

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

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SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo