Execute Aggregation with MongoDB API on New Project Upgraded from Diabatix ColdStream API

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New Project Upgraded from the Diabatix ColdStream API

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Execute Aggregation with the MongoDB API

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Getting Started#

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

Select this integration
Configure the New Project Upgraded trigger
1. Connect your Diabatix ColdStream account
2. Configure timer
3. Select a Organization ID
4. Select a Project ID
Configure the Execute Aggregation action
1. Connect your MongoDB account
2. Select a Database
3. Select a Collection
4. Configure Pipeline
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 Project Upgraded on Diabatix ColdStream

Description:Emit new event when a specific project has been upgraded or edited in ColdStream.

Version:0.0.1

Key:diabatix_coldstream-project-upgraded

View on GitHub

Diabatix ColdStream Overview#

The Diabatix ColdStream API provides automated thermal analysis capabilities, allowing users to streamline the cooling design process for various components and devices. With this API, you can automate the design of thermal systems, optimize existing cooling solutions, and simulate different scenarios to find the most effective thermal management strategy. In Pipedream, you can leverage this API to build automated workflows that integrate thermal analysis into your engineering cycles, ensuring your designs meet the necessary thermal specifications before physical prototypes are ever built.

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import _ from "lodash";
import coldstream from "../../diabatix_coldstream.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "diabatix_coldstream-project-upgraded",
  name: "New Project Upgraded",
  description: "Emit new event when a specific project has been upgraded or edited in ColdStream.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    coldstream,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    organizationId: {
      propDefinition: [
        coldstream,
        "organizationId",
      ],
    },
    projectId: {
      propDefinition: [
        coldstream,
        "projectId",
        ({ organizationId }) => ({
          organizationId,
        }),
      ],
    },
  },
  methods: {
    _getLastObject() {
      return this.db.get("lastObject");
    },
    _setLastObject(lastObject = null) {
      this.db.set("lastObject", this._parsePictureUrl(lastObject));
    },
    _parsePictureUrl(obj) {
      const regex = /(http.+)\?/g;
      const newPictureUrl = regex.exec(obj.pictureUrl);
      return {
        ...obj,
        pictureUrl: newPictureUrl[0],
      };
    },
    async startEvent() {
      const lastObject = this._getLastObject();
      const currentProjectData = await this.coldstream.getProject({
        projectId: this.projectId,
      });
      if ((!lastObject) ||
      (lastObject && (!_.isEqual(this._parsePictureUrl(currentProjectData), lastObject)))) {
        this.$emit(currentProjectData, this.generateMeta(currentProjectData));
        this._setLastObject(currentProjectData);
      }
    },
    generateMeta(data) {
      const ts = new Date();
      return {
        id: `${data.id}-${ts}`,
        summary: `Project ${data.name} updated.`,
        ts: Date.parse(ts),
      };
    },
  },
  hooks: {
    async deploy() {
      await this.startEvent();
    },
  },
  async run() {
    await this.startEvent();
  },
  sampleEmit,
};

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
Diabatix ColdStream	`coldstream`	`app`	This component uses the Diabatix ColdStream app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Organization ID	`organizationId`	`integer`	Select a value from the drop down menu.
Project ID	`projectId`	`integer`	Select a value from the drop down menu.

Trigger Authentication#

Diabatix ColdStream uses OAuth authentication. When you connect your Diabatix ColdStream account, Pipedream will open a popup window where you can sign into Diabatix ColdStream and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Diabatix ColdStream API.

Pipedream requests the following authorization scopes when you connect your account:

About Diabatix ColdStream#

New generation of generative design software for thermal & flow topology optimization for optimal heat sink design

Action#

Execute Aggregation on MongoDB

Description:Execute an aggregation pipeline on a MongoDB collection. [See the documentation](https://www.mongodb.com/docs/drivers/node/current/fundamentals/aggregation/)

Version:0.0.1

Key:mongodb-execute-aggregation

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.

Action Code#

import app from "../../mongodb.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "mongodb-execute-aggregation",
  name: "Execute Aggregation",
  description: "Execute an aggregation pipeline on a MongoDB collection. [See the documentation](https://www.mongodb.com/docs/drivers/node/current/fundamentals/aggregation/)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    database: {
      propDefinition: [
        app,
        "database",
      ],
    },
    collectionName: {
      propDefinition: [
        app,
        "collection",
        ({ database }) => ({
          database,
        }),
      ],
    },
    pipeline: {
      type: "string[]",
      label: "Pipeline",
      description: "The aggregation pipeline to execute where each row represents a stage as a JSON string. Eg. `[ { \"$match\": { \"categories\": \"Bakery\" } }, { \"$group\": { \"_id\": \"$stars\", \"count\": { \"$sum\": 1 } } } ]`",
    },
  },
  methods: {
    async excecuteAggregation({
      database, collectionName, pipeline,
    } = {}) {
      const { app } = this;
      const client = await app.getClient();
      const collection = app.getCollection(client, database, collectionName);
      const cursor = collection.aggregate(pipeline);
      const result = await utils.iterate(cursor);
      await client.close();
      return result;
    },
  },
  async run({ $ }) {
    const {
      excecuteAggregation,
      database,
      collectionName,
      pipeline,
    } = this;

    const response = await excecuteAggregation({
      database,
      collectionName,
      pipeline: utils.parseArray(pipeline),
    });

    $.export("$summary", `Successfully executed aggregation pipeline on collection with \`${response.length}\` document(s).`);

    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
MongoDB	`app`	`app`	This component uses the MongoDB app.
Database	`database`	`string`	Select a value from the drop down menu.
Collection	`collectionName`	`string`	Select a value from the drop down menu.
Pipeline	`pipeline`	`string[]`	The aggregation pipeline to execute where each row represents a stage as a JSON string. Eg. `[ { "$match": { "categories": "Bakery" } }, { "$group": { "_id": "$stars", "count": { "$sum": 1 } } } ]`

Action 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.

Execute Aggregation with MongoDB API on New Project Upgraded from Diabatix ColdStream API

Pipedream makes it easy to connect APIs for MongoDB, Diabatix ColdStream and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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