Add A Worksheet Tablerow with Microsoft Excel API on New Document from MongoDB API

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Trigger workflow on

New Document from the MongoDB API

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Add A Worksheet Tablerow with the Microsoft Excel API

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Getting Started#

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

Select this integration
Configure the New Document trigger
1. Connect your MongoDB account
2. Configure Polling Interval
3. Select a Database
4. Select a Collection
5. Configure Timestamp Field
Configure the Add A Worksheet Tablerow action
1. Connect your Microsoft Excel account
2. Select a Folder Id
3. Select a Item Id
4. Select a Table Id
5. Configure Table Name
6. Configure Values
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 Document on MongoDB

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

Version:0.0.9

Key:mongodb-new-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";
import { Timestamp } from "mongodb";

export default {
  ...common,
  key: "mongodb-new-document",
  name: "New Document",
  description: "Emit new an event when a new document is added to a collection",
  version: "0.0.9",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    database: {
      propDefinition: [
        common.props.mongodb,
        "database",
      ],
    },
    collection: {
      propDefinition: [
        common.props.mongodb,
        "collection",
        (c) => ({
          database: c.database,
        }),
      ],
    },
    timestampField: {
      type: "string",
      label: "Timestamp Field",
      description: "The key of a timestamp field, such as 'created_at' that is set to the current timestamp when a document is created. Must be of type Timestamp.",
    },
  },
  hooks: {
    async deploy() {
      const client = await this.mongodb.getClient();
      await this.processEvent(client, Date.now(), 25);
      await client.close();
    },
  },
  methods: {
    ...common.methods,
    _getLastTs() {
      return this.db.get("lastTs");
    },
    _setLastTs(lastTs) {
      this.db.set("lastTs", lastTs);
    },
    getTs(doc) {
      try {
        return JSON.parse(doc[this.timestampField]);
      } catch {
        return doc[this.timestampField];
      }
    },
    convertToTimestamp(timestampStr) {
      const bigIntValue = BigInt(timestampStr);
      const seconds = Number(bigIntValue >> 32n);
      const increment = Number(bigIntValue & 0xFFFFFFFFn);
      return new Timestamp({
        t: seconds,
        i: increment,
      });
    },
    async processEvent(client, eventTs, max) {
      const lastTs = this._getLastTs() || 0;
      let maxTs = lastTs;
      let count = 0;
      const collection = this.mongodb.getCollection(client, this.database, this.collection);
      const sort = {
        [this.timestampField]: -1,
      };
      const query = {
        [this.timestampField]: {
          $gt: this.convertToTimestamp(lastTs),
        },
      };
      const documents = await collection.find(query).sort(sort)
        .toArray();
      const docs = [];
      for (const doc of documents) {
        const ts = this.getTs(doc);
        if (!(ts > lastTs) || (max && count >= max)) {
          break;
        }
        if (ts > maxTs) {
          maxTs = ts;
        }
        docs.push(doc);
        count++;
      }
      docs.reverse().forEach((doc) => this.emitEvent(doc, eventTs));
      this._setLastTs(maxTs);
    },
    generateMeta({ _id: id }, ts) {
      return {
        id,
        summary: `New Document ID ${JSON.stringify(id)}`,
        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.
Timestamp Field	`timestampField`	`string`	The key of a timestamp field, such as 'created_at' that is set to the current timestamp when a document is created. Must be of type Timestamp.

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#

Add A Worksheet Tablerow on Microsoft Excel

Description:Adds rows to the end of specific table. [See the documentation](https://learn.microsoft.com/en-us/graph/api/tablerowcollection-add?view=graph-rest-1.0&tabs=http)

Version:0.0.4

Key:microsoft_excel-add-a-worksheet-tablerow

View on GitHub

Microsoft Excel Overview#

The Microsoft Excel API on Pipedream allows you to automate spreadsheet tasks, manipulate data, and integrate Excel with other apps and services. Through Pipedream, you can create serverless workflows that react to events, perform operations on Excel files like reading, writing, updating cells, and managing worksheets. This API turns Excel into a powerful tool for data analysis, report generation, and task automation without manual intervention.

Action Code#

import { parseObject } from "../../common/utils.mjs";
import microsoftExcel from "../../microsoft_excel.app.mjs";

export default {
  key: "microsoft_excel-add-a-worksheet-tablerow",
  name: "Add A Worksheet Tablerow",
  version: "0.0.4",
  description: "Adds rows to the end of specific table. [See the documentation](https://learn.microsoft.com/en-us/graph/api/tablerowcollection-add?view=graph-rest-1.0&tabs=http)",
  type: "action",
  props: {
    microsoftExcel,
    folderId: {
      propDefinition: [
        microsoftExcel,
        "folderId",
      ],
    },
    itemId: {
      propDefinition: [
        microsoftExcel,
        "itemId",
        ({ folderId }) => ({
          folderId,
        }),
      ],
      reloadProps: true,
    },
    tableId: {
      propDefinition: [
        microsoftExcel,
        "tableId",
        ({ itemId }) => ({
          itemId,
        }),
      ],
      hidden: true,
    },
    tableName: {
      type: "string",
      label: "Table Name",
      description: "This is set in the **Table Design** tab of the ribbon.",
      hidden: true,
    },
    values: {
      propDefinition: [
        microsoftExcel,
        "values",
      ],
    },
  },
  async additionalProps(props) {
    if (this.itemId) {
      try {
        await this.microsoftExcel.listTables({
          itemId: this.itemId,
        });
      } catch {
        props.tableName.hidden = false;
        return {};
      }
      props.tableId.hidden = false;
      return {};
    }
  },
  async run({ $ }) {
    const {
      microsoftExcel,
      itemId,
      tableId,
      tableName,
      values,
    } = this;

    const response = await microsoftExcel.addRow({
      $,
      itemId,
      tableId,
      tableName,
      data: {
        values: parseObject(values),
      },
    });

    $.export("$summary", "The rows were successfully added!");
    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
Microsoft Excel	`microsoftExcel`	`app`	This component uses the Microsoft Excel app.
Folder Id	`folderId`	`string`	Select a value from the drop down menu.
Item Id	`itemId`	`string`	Select a value from the drop down menu.
Values	`values`	`string`	A 2-dimensional array of unformatted values of the table row. See the documentation to get the data format.

Action Authentication#

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

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

User.Reademailoffline_accessopenidprofileFiles.ReadWriteFiles.Read.AllUser.ReadCrossTenantInformation.ReadBasic.All

Add A Worksheet Tablerow with Microsoft Excel API on New Document from MongoDB API

Pipedream makes it easy to connect APIs for Microsoft Excel, MongoDB 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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