Find Similar Links with Exa (Formerly Metaphor) 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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Find Similar Links with the Exa (Formerly Metaphor) API

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Getting Started#

This integration creates a workflow with a MongoDB trigger and Exa (Formerly Metaphor) 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 Find Similar Links action
1. Connect your Exa (Formerly Metaphor) account
2. Configure Url
3. Optional- Configure Number Of Results
4. Optional- Configure Include Domains
5. Optional- Configure Exclude Domains
6. Optional- Configure Start Crawl Date
7. Optional- Configure End Crawl Date
8. Optional- Configure Start Published Date
9. Optional- Configure End Published Date
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#

Description:Find similar links to the link provided. See the documentation](https://docs.metaphor.systems/reference/findsimilar)

Version:0.0.1

Key:metaphor-find-similar-links

View on GitHub

Exa (Formerly Metaphor) Overview#

The Exa (Formerly Metaphor) API enables you to enrich your applications with machine learning-powered insights and data processing capabilities. With Exa, you can perform advanced data analysis, extract meaningful patterns, and automate decision-making processes within your projects. By integrating this API with Pipedream, you can create seamless workflows that leverage these intelligent features alongside other services to streamline your operations, enhance data intelligence, and drive innovation.

Action Code#

import metaphor from "../../metaphor.app.mjs";

export default {
  key: "metaphor-find-similar-links",
  name: "Find Similar Links",
  version: "0.0.1",
  description: "Find similar links to the link provided. See the documentation](https://docs.metaphor.systems/reference/findsimilar)",
  type: "action",
  props: {
    metaphor,
    url: {
      propDefinition: [
        metaphor,
        "url",
      ],
    },
    numResults: {
      propDefinition: [
        metaphor,
        "numResults",
      ],
      optional: true,
    },
    includeDomains: {
      propDefinition: [
        metaphor,
        "includeDomains",
      ],
      optional: true,
    },
    excludeDomains: {
      propDefinition: [
        metaphor,
        "excludeDomains",
      ],
      optional: true,
    },
    startCrawlDate: {
      propDefinition: [
        metaphor,
        "startCrawlDate",
      ],
      optional: true,
    },
    endCrawlDate: {
      propDefinition: [
        metaphor,
        "endCrawlDate",
      ],
      optional: true,
    },
    startPublishedDate: {
      propDefinition: [
        metaphor,
        "startPublishedDate",
      ],
      optional: true,
    },
    endPublishedDate: {
      propDefinition: [
        metaphor,
        "endPublishedDate",
      ],
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      metaphor,
      ...data
    } = this;

    const response = await metaphor.findSimilarLinks({
      $,
      data,
    });

    $.export("$summary", `${response.results.length} result${response.results.length > 1
      ? "s were"
      : " was"} successfully fetched!`);
    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
Exa (Formerly Metaphor)	`metaphor`	`app`	This component uses the Exa (Formerly Metaphor) app.
Url	`url`	`string`	"Crawl date" refers to the date that Metaphor discovered a link, which is more granular and can be more useful than published date. If endCrawlDate is specified, results will only include links that were crawled before endCrawlDate. Must be specified in ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ)
Number Of Results	`numResults`	`integer`	Number of search results to return. Default 10. Up to 30 for basic plans. Up to thousands for custom plans.
Include Domains	`includeDomains`	`string[]`	List of domains to include in the search. If specified, results will only come from these domains. Only one of includeDomains and excludeDomains should be specified.
Exclude Domains	`excludeDomains`	`string[]`	List of domains to exclude in the search. If specified, results will only come from these domains. Only one of includeDomains and excludeDomains should be specified.
Start Crawl Date	`startCrawlDate`	`string`	"Crawl date" refers to the date that Metaphor discovered a link, which is more granular and can be more useful than published date. If startCrawlDate is specified, results will only include links that were crawled after startCrawlDate. Must be specified in ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ)
End Crawl Date	`endCrawlDate`	`string`	"Crawl date" refers to the date that Metaphor discovered a link, which is more granular and can be more useful than published date. If endCrawlDate is specified, results will only include links that were crawled before endCrawlDate. Must be specified in ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ)
Start Published Date	`startPublishedDate`	`string`	If specified, only links with a published date after startPublishedDate will be returned. Must be specified in ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ). Note that for some links, we have no published date, and these links will be excluded from the results if startPublishedDate is specified.
End Published Date	`endPublishedDate`	`string`	If specified, only links with a published date before endPublishedDate will be returned. Must be specified in ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ). Note that for some links, we have no published date, and these links will be excluded from the results if endPublishedDate is specified.