Execute Aggregation with MongoDB API on Document Creation Failed (Instant) from PandaDoc API

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Document Creation Failed (Instant) from the PandaDoc API

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Execute Aggregation with the MongoDB API

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Getting Started#

This integration creates a workflow with a PandaDoc 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 Document Creation Failed (Instant) trigger
1. Connect your PandaDoc account
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#

Document Creation Failed (Instant) on PandaDoc

Description:Emit new event when a document failed to be created. [See the documentation here](https://developers.pandadoc.com/reference/create-webhooks-subscription)

Version:0.0.5

Key:pandadoc-document-creation-failed

View on GitHub

PandaDoc Overview#

The PandaDoc API opens up a realm of possibilities for automating document workflows, creating a seamless bridge between document management and various business processes. With it, you can programmatically create, send, and track documents, streamline electronic signatures, and manage templates, among others. Integrations through Pipedream can harness these capabilities, enabling you to trigger actions in PandaDoc based on events from other apps, or vice versa.

Trigger Code#

import common from "../common.mjs"; const DOCS_LINK = "https://developers.pandadoc.com/reference/create-webhooks-subscription"; export default { ...common, name: "Document Creation Failed (Instant)", description: `Emit new event when a document failed to be created. [See the documentation here](${DOCS_LINK})`, key: "pandadoc-document-creation-failed", version: "0.0.5", type: "source", methods: { ...common.methods, getHookName() { return "Document Creation Failed"; }, getHookTypes() { return [ "document_creation_failed", ]; }, }, };

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
PandaDoc	`app`	`app`	This component uses the PandaDoc app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.

Trigger Authentication#

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

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

read+write

About PandaDoc#

Create, Approve, Track & eSign Docs 40% Faster

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 Document Creation Failed (Instant) from PandaDoc API

Pipedream makes it easy to connect APIs for MongoDB, PandaDoc 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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