Execute Aggregation with MongoDB API on Failed Monitor from Drata API

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Failed Monitor from the Drata API

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Execute Aggregation with the MongoDB API

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Getting Started#

This integration creates a workflow with a Drata 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 Failed Monitor trigger
1. Connect your Drata account
2. Configure timer
3. Optional- Select a Check Type
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#

Failed Monitor on Drata

Description:Emit a new event whenever a monitor fails. [See the documentation](https://developers.drata.com/docs/openapi/reference/operation/MonitorsPublicController_listMonitors/).

Version:0.0.2

Key:drata-failed-monitor

View on GitHub

Drata Overview#

Drata is a compliance automation platform. Drata’s platform is built by compliance and security experts so you don’t have to be one. With 75+ native integrations, you can easily connect your tech stack and automate evidence collection and testing.

Pipedream customers get 25% off Drata, with implementation fees waived. Visit https://drata.com/partner/pipedream for more information.

Trigger Code#

import drata from "../../drata.app.mjs"; import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform"; const docsLink = "https://developers.drata.com/docs/openapi/reference/operation/MonitorsPublicController_listMonitors/"; export default { key: "drata-failed-monitor", name: "Failed Monitor", description: `Emit a new event whenever a monitor fails. [See the documentation](${docsLink}).`, type: "source", version: "0.0.2", dedupe: "unique", props: { drata, db: "$.service.db", timer: { type: "$.interface.timer", default: { intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL, }, }, checkType: { type: "string", label: "Check Type", description: "Filter monitors by check type (associated monitor instances)", optional: true, options: [ "POLICY", "IN_DRATA", "AGENT", "INFRASTRUCTURE", "VERSION_CONTROL", "IDENTITY", "TICKETING", "HRIS", "OBSERVABILITY", ], }, }, hooks: { async deploy() { const response = await this.drata.listMonitors({ paginate: true, params: { checkResultStatus: "FAILED", reportInterval: "WEEKLY", }, }); const visitedIds = {}; for (const monitor of response.data) { const ts = Date.parse(monitor.lastCheck); visitedIds[monitor.id] = ts; this.$emit(monitor, { id: `${monitor.id}_${ts}`, summary: `Historical failed monitor event: ${monitor.name}`, ts, }); } this._setVisitedIds(visitedIds); }, }, methods: { _getVisitedIds() { return this.db.get("visitedIds") || {}; }, _setVisitedIds(visitedIds) { this.db.set("visitedIds", visitedIds); }, }, async run() { const visitedIds = this._getVisitedIds(); const response = await this.drata.listMonitors({ paginate: true, params: { checkResultStatus: "FAILED", reportInterval: "WEEKLY", }, }); for (const monitor of response.data) { const id = monitor.id; const ts = Date.parse(monitor.lastCheck); if (!visitedIds[id] || ts > visitedIds[id]) { visitedIds[id] = ts; this.$emit(monitor, { id: `${monitor.id}_${ts}`, summary: `Failed: ${monitor.name}`, ts, }); } } this._setVisitedIds(visitedIds); }, };

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
Drata	`drata`	`app`	This component uses the Drata app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Check Type	`checkType`	`string`	Select a value from the drop down menu:`POLICYIN_DRATAAGENTINFRASTRUCTUREVERSION_CONTROLIDENTITYTICKETINGHRISOBSERVABILITY`

Trigger Authentication#

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

Make sure you're logged into the Drata UI, then see these docs to create a Drata API key. Enter it below.

About Drata#

Drata automates your compliance journey from start to audit-ready and beyond and provides support from the security and compliance experts who built it.

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:0.0.2

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: "0.0.2", annotations: { destructiveHint: false, openWorldHint: true, readOnlyHint: false, }, 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 Failed Monitor from Drata API

Pipedream makes it easy to connect APIs for MongoDB, Drata and 2,800+ other apps remarkably fast.

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

Developers ♥ Pipedream

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