Integrate the Seqera API with the MongoDB API

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

Popular Ways to Connect Seqera with MongoDB#

Create Compute Environment with Seqera API on New Collection from MongoDB API

MongoDB + Seqera

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Create Compute Environment with Seqera API on New Database from MongoDB API

MongoDB + Seqera

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Create Compute Environment with Seqera API on New Document from MongoDB API

MongoDB + Seqera

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Create Compute Environment with Seqera API on New Field in Document from MongoDB API

MongoDB + Seqera

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Create New Document with MongoDB API on New Run Created from Seqera API

Seqera + MongoDB

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Popular Seqera and MongoDB Triggers#

New Run Created from the Seqera API

Emit new event when a new run is created in Seqera. See the documentation

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New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

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New Database from the MongoDB API

Emit new an event when a new database is added

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New Document from the MongoDB API

Emit new an event when a new document is added to a collection

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New Field in Document from the MongoDB API

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

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Popular Seqera and MongoDB Actions#

Create Compute Environment with the Seqera API

Creates a new compute environment in Seqera Tower. See the documentation

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Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

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Create Pipeline with the Seqera API

Creates a new pipeline in a user context. See the documentation

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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

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Create Pipeline Action with the Seqera API

Creates a new pipeline action in Seqera. See the documentation

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Overview of Seqera#

The Seqera API serves as a connection point for handling complex data pipeline and workflow orchestration tasks within the life sciences domain. With this API, you can manage workflows, monitor pipeline executions, and control job submissions. Leveraging Pipedream, you can seamlessly integrate Seqera with various services to automate processes, react to pipeline events, or synchronize data across platforms, thus enhancing efficiency in bioinformatics analysis.

Connect Seqera#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    seqera: {
      type: "app",
      app: "seqera",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.tower.nf/user-info`,
      headers: {
        Authorization: `Bearer ${this.seqera.$auth.api_token}`,
      },
    })
  },
})

Overview of MongoDB#

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.

Connect MongoDB#

import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})