Update Worksheet Tablerow with Microsoft Excel API on New Deleted User from Snowflake API

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New Deleted User from the Snowflake API

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Update Worksheet Tablerow with the Microsoft Excel API

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Getting Started#

This integration creates a workflow with a Snowflake 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 Deleted User trigger
1. Connect your Snowflake account
2. Configure timer
Configure the Update 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. Select a Row Id
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 Deleted User on Snowflake

Description:Emit new event when a user is deleted

Version:0.1.2

Key:snowflake-deleted-user

View on GitHub

Snowflake Overview#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Trigger Code#

import common from "../common-delete.mjs";

export default {
  ...common,
  type: "source",
  key: "snowflake-deleted-user",
  name: "New Deleted User",
  description: "Emit new event when a user is deleted",
  version: "0.1.2",
  methods: {
    ...common.methods,
    getSqlText() {
      return "show users";
    },
  },
};

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
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`	Monitor for changes on this schedule.

Trigger Authentication#

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

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

About Snowflake#

A data warehouse built for the cloud

Action#

Update Worksheet Tablerow on Microsoft Excel

Description:Update the properties of tablerow object. `(Only for work or school account)` [See the documentation](https://learn.microsoft.com/en-us/graph/api/tablerow-update?view=graph-rest-1.0&tabs=http)

Version:0.0.4

Key:microsoft_excel-update-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 microsoftExcel from "../../microsoft_excel.app.mjs";

export default {
  key: "microsoft_excel-update-worksheet-tablerow",
  name: "Update Worksheet Tablerow",
  version: "0.0.4",
  description: "Update the properties of tablerow object. `(Only for work or school account)` [See the documentation](https://learn.microsoft.com/en-us/graph/api/tablerow-update?view=graph-rest-1.0&tabs=http)",
  type: "action",
  props: {
    microsoftExcel,
    folderId: {
      propDefinition: [
        microsoftExcel,
        "folderId",
      ],
    },
    itemId: {
      propDefinition: [
        microsoftExcel,
        "itemId",
        ({ folderId }) => ({
          folderId,
        }),
      ],
    },
    tableId: {
      propDefinition: [
        microsoftExcel,
        "tableId",
        ({ itemId }) => ({
          itemId,
        }),
      ],
    },
    rowId: {
      propDefinition: [
        microsoftExcel,
        "rowId",
        ({
          itemId, tableId,
        }) => ({
          itemId,
          tableId,
        }),
      ],
    },
    values: {
      propDefinition: [
        microsoftExcel,
        "values",
      ],
      description: "Represents the raw values of the specified range. The data returned could be of type string, number, or a boolean. Cells that contain errors return the error string.",
    },
  },
  async run({ $ }) {
    const {
      microsoftExcel,
      itemId,
      tableId,
      rowId,
      values,
    } = this;

    const response = await microsoftExcel.updateRow({
      $,
      itemId,
      tableId,
      rowId,
      data: {
        values: JSON.parse(values),
      },
    });

    $.export("$summary", `The row with index: ${rowId} was successfully updated!`);
    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.
Table Id	`tableId`	`string`	Select a value from the drop down menu.
Row Id	`rowId`	`string`	Select a value from the drop down menu.
Values	`values`	`string`	Represents the raw values of the specified range. The data returned could be of type string, number, or a boolean. Cells that contain errors return the error string.

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