with Looker and Codeq Natural Language Processing API?
Receives a text and returns a JSON object containing a list of analyzed sentences. See the docs here
Receives two texts and returns a JSON object containing the text similarity score. See the docs here
The Looker API provides programmatic access to Looker's data exploration functionalities, allowing you to tap into your data analytics and share insights across your organization dynamically. With the Looker API on Pipedream, you can automate reporting, synchronize analytics data with other apps, and trigger data-driven workflows. Whether it's scheduling reports, updating dashboards, or integrating data insights into other systems, the Looker API empowers you to make data-informed decisions efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
looker: {
type: "app",
app: "looker",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.looker.$auth.looker_base_url}/api/4.0/user`,
headers: {
"Authorization": `token ${this.looker.$auth.oauth_access_token}`,
},
})
},
})
The Codeq Natural Language Processing API provides powerful text analysis capabilities. It parses and understands complex structures in text, extracting meaningful insights. On Pipedream, you can harness this API to analyze text data from various sources, automate content categorization, sentiment analysis, or even construct rich profiles of user feedback. With Pipedream's serverless platform, these processes can be automated, triggered by events, and integrated with numerous other apps to create robust, data-driven workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
codeq_natural_language_processing_api: {
type: "app",
app: "codeq_natural_language_processing_api",
}
},
async run({steps, $}) {
const data = {
"user_id": `${this.codeq_natural_language_processing_api.$auth.user_id}`,
"user_key": `${this.codeq_natural_language_processing_api.$auth.user_key}`,
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.codeq.com/v1`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})