Detect Language with Tisane Labs API on New Field in Document from MongoDB API

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New Field in Document from the MongoDB API

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Detect Language with the Tisane Labs API

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Getting Started#

This integration creates a workflow with a MongoDB trigger and Tisane Labs action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Field in Document trigger
1. Connect your MongoDB account
2. Configure Polling Interval
3. Select a Database
4. Select a Collection
5. Select a Document
Configure the Detect Language action
1. Connect your Tisane Labs account
2. Configure Content
3. Optional- Select one or more Languages
4. Optional- Configure Delimiter
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Field in Document on MongoDB

Description:Emit new an event when a new field is added to a document

Version:0.0.7

Key:mongodb-new-field-in-document

View on GitHub

MongoDB Overview#

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Trigger Code#

import common from "../common/base.mjs";

export default {
  ...common,
  key: "mongodb-new-field-in-document",
  name: "New Field in Document",
  description: "Emit new an event when a new field is added to a document",
  version: "0.0.7",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    database: {
      propDefinition: [
        common.props.mongodb,
        "database",
      ],
    },
    collection: {
      propDefinition: [
        common.props.mongodb,
        "collection",
        (c) => ({
          database: c.database,
        }),
      ],
    },
    document: {
      propDefinition: [
        common.props.mongodb,
        "document",
        (c) => ({
          database: c.database,
          collection: c.collection,
        }),
      ],
    },
  },
  methods: {
    ...common.methods,
    _getFields() {
      return this.db.get("fields");
    },
    _setFields(fields) {
      this.db.set("fields", fields);
    },
    isRelevant(key, fields) {
      return !fields.includes(key);
    },
    async processEvent(client, ts) {
      const fields = this._getFields() || [];
      const collection = this.mongodb.getCollection(client, this.database, this.collection);
      const documents = await this.mongodb.listDocuments(collection);
      const doc = documents.find((obj) => {
        return obj._id == this.document;
      });
      const keys = Object.keys(doc);
      for (const key of keys) {
        if (!this.isRelevant(key, fields)) {
          continue;
        }
        fields.push(key);
        this.emitEvent(key, ts);
      }
      this._setFields(fields);
    },
    generateMeta(key, ts) {
      return {
        id: key,
        summary: `New Field ${key}`,
        ts,
      };
    },
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
MongoDB	`mongodb`	`app`	This component uses the MongoDB app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling Interval	`timer`	`$.interface.timer`	Pipedream will poll the API on this schedule
Database	`database`	`string`	Select a value from the drop down menu.
Collection	`collection`	`string`	Select a value from the drop down menu.
Document	`document`	`string`	Select a value from the drop down menu.

Trigger Authentication#

MongoDB uses API keys for authentication. When you connect your MongoDB account, Pipedream securely stores the keys so you can easily authenticate to MongoDB APIs in both code and no-code steps.

Before you connect to your Mongo database from Pipedream, please make sure your database is accessible from the public internet. You may need to add a firewall rule allowing connections from 0.0.0.0/0.

Then, enter the details of your Mongo host / database below.

About MongoDB#

MongoDB is an open source NoSQL database management program.

Action#

Detect Language on Tisane Labs

Description:Detects languages used in the specified text fragment. [See the documentation](https://docs.tisane.ai/#bf10f7e0-6643-4d8e-861f-9fa158327170)

Version:0.0.1

Key:tisane_labs-detect-language

View on GitHub

Tisane Labs Overview#

The Tisane Labs API offers advanced text analysis capabilities, focusing on abusive content detection and linguistic insights. With it, you can automate content moderation, extract entities, detect the sentiment, and identify the language of the text. In Pipedream, Tisane Labs API can be integrated into workflows to process text from various sources such as user comments, support tickets, or social media posts. By leveraging Pipedream's serverless platform, you can create real-time, event-driven applications that respond to text analyses, connect with other services, and perform actions based on the insights gained from the Tisane Labs API.

Action Code#

import tisaneLabs from "../../tisane_labs.app.mjs";

export default {
  key: "tisane_labs-detect-language",
  name: "Detect Language",
  description: "Detects languages used in the specified text fragment. [See the documentation](https://docs.tisane.ai/#bf10f7e0-6643-4d8e-861f-9fa158327170)",
  version: "0.0.1",
  type: "action",
  props: {
    tisaneLabs,
    content: {
      type: "string",
      label: "Content",
      description: "The content to analyze",
    },
    languages: {
      propDefinition: [
        tisaneLabs,
        "language",
      ],
      type: "string[]",
      label: "Languages",
      description: "An array of language codes to choose from; used for intelligent cues.",
      optional: true,
    },
    delimiter: {
      type: "string",
      label: "Delimiter",
      description: "A regular expression to segment the fragment; by default, languages are detected globally",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.tisaneLabs.detectLanguage({
      data: {
        content: this.content,
        languages: this.languages?.join(",") || "",
        delimiter: this.delimiter,
      },
      $,
    });

    if (response) {
      $.export("$summary", "Successfully detected languages.");
    }

    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Tisane Labs	`tisaneLabs`	`app`	This component uses the Tisane Labs app.
Content	`content`	`string`	The content to analyze
Languages	`languages`	`string[]`	Select a value from the drop down menu.
Delimiter	`delimiter`	`string`	A regular expression to segment the fragment; by default, languages are detected globally