Trakt is a service that integrates with your media center to better keep track of the TV shows and movies that you've watched.
Batch create entities, See REST docs and client API docs
Creates an Entity Type, See REST docs and client API docs
Remove one of more items from watchlist. See the documentation
The Trakt API provides an interface to track and discover movies and TV shows, allowing you to manage watchlists, get personalized recommendations, and engage with a social community of film and TV enthusiasts. On Pipedream, you can harness this API to create custom workflows that automate your media activities, sync your watch status with other apps, or even analyze your viewing habits.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
trakt: {
type: "app",
app: "trakt",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.trakt.$auth.environment}.trakt.tv/users/me`,
headers: {
Authorization: `Bearer ${this.trakt.$auth.oauth_access_token}`,
"Content-Type": `application/json`,
"trakt-api-version": `2`,
"trakt-api-key": `${this.trakt.$auth.oauth_client_id}`,
},
})
},
})
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.
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.`)
}
},
})