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with FTrack and Google Dialogflow?

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Create Context with Google Dialogflow API on New Project Added from FTrack API
FTrack + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Task Added from FTrack API
FTrack + Google Dialogflow
 
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Create Context with Google Dialogflow API on Status Changed from FTrack API
FTrack + Google Dialogflow
 
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Create Entities with Google Dialogflow API on New Project Added from FTrack API
FTrack + Google Dialogflow
 
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Create Entities with Google Dialogflow API on New Task Added from FTrack API
FTrack + Google Dialogflow
 
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New Project Added from the FTrack API

Triggered when a new task is added. See the documentation

 
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New Task Added from the FTrack API

Triggered when a new task is added. See the documentation

 
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Status Changed from the FTrack API

Triggered when the status of an item is changed. See the documentation

 
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Get Task Info with the FTrack API

Get information about a task. 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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List Schemas with the FTrack API

List all schemas. See the documentation

 
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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 Entity Type with the Google Dialogflow API

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

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

Overview of FTrack

The FTrack API is a powerhouse for creative project management, enabling users to automate and integrate a wide array of tasks related to project tracking, asset management, and team collaboration. With Pipedream, you can harness this API to create custom workflows that trigger actions within FTrack or connect it with other apps to streamline your creative operations. It's a toolset for improving efficiency by automating repetitive tasks, syncing data across applications, and orchestrating complex project management activities.

Connect FTrack

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ftrack: {
      type: "app",
      app: "ftrack",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "POST",
      url: `https://${this.ftrack.$auth.subdomain}.ftrackapp.com/api`,
      headers: {
        "Content-Type": `application/json`,
        "ftrack-user": `${this.ftrack.$auth.username}`,
        "ftrack-api-key": `${this.ftrack.$auth.api_key}`,
      },
      data: []
    })
  },
})

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.`)
    }
  },
})

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

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
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