Start Tracking Time with TrackingTime API on New Column from Microsoft SQL Server API

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Trigger workflow on

New Column from the Microsoft SQL Server API

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Start Tracking Time with the TrackingTime API

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Getting Started#

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

Select this integration
Configure the New Column trigger
1. Connect your Microsoft SQL Server account
2. Configure Polling schedule
3. Select a Table
Configure the Start Tracking Time action
1. Connect your TrackingTime account
2. Select a Task ID
3. Optional- Select a Project ID
4. Optional- Configure Date
5. Optional- Configure Estimated Time
6. Optional- Configure Stop Running Task
7. Optional- Configure Return Task
8. Optional- Configure Tags
9. Optional- Configure Timezone
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 Column on Microsoft SQL Server

Description:Triggers when a new column is added to a table. [See the documentation](https://learn.microsoft.com/en-us/sql/relational-databases/system-catalog-views/sys-columns-transact-sql?view=sql-server-ver16)

Version:0.0.5

Key:microsoft_sql_server-new-column

View on GitHub

Microsoft SQL Server Overview#

With the Microsoft SQL Server API on Pipedream, you can automate your database operations and create powerful integrations. This API allows you to execute queries, manage databases, and trigger actions based on data changes. Implementing workflows that react to database events, manipulate data, or synchronize SQL Server data with other services, becomes effortless with Pipedream's serverless platform.

Trigger Code#

import { v4 as uuidv4 } from "uuid";
import common from "../common/polling.mjs";
import constants from "../../common/constants.mjs";

export default {
  ...common,
  key: "microsoft_sql_server-new-column",
  name: "New Column",
  description: "Triggers when a new column is added to a table. [See the documentation](https://learn.microsoft.com/en-us/sql/relational-databases/system-catalog-views/sys-columns-transact-sql?view=sql-server-ver16)",
  type: "source",
  version: "0.0.5",
  dedupe: "unique",
  props: {
    ...common.props,
    table: {
      propDefinition: [
        common.props.app,
        "table",
      ],
    },
  },
  methods: {
    ...common.methods,
    getCurrentColumns() {
      return this.db.get(constants.CURRENT_COLUMNS) || [];
    },
    setCurrentColumns(columns) {
      this.db.set(constants.CURRENT_COLUMNS, columns);
    },
    generateMeta(resource) {
      return {
        id: uuidv4(),
        summary: `New Column Added: ${resource.COLUMN_NAME}`,
        ts: Date.now(),
      };
    },
    async listResults() {
      const {
        app,
        table,
        getCurrentColumns,
      } = this;

      const columns = getCurrentColumns();
      const { recordset } = await app.listNewColumns({
        table,
        columns,
      });

      const newColumns = recordset.map(({ COLUMN_NAME: column }) => column);

      this.processResources(recordset);
      this.setCurrentColumns(newColumns.concat(columns));
    },
  },
};

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
Microsoft SQL Server	`app`	`app`	This component uses the Microsoft SQL Server app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling schedule	`timer`	`$.interface.timer`	How often to poll the API
Table	`table`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

Before you connect to your Microsoft SQL Server database from Pipedream, please make sure your database is either:

Accessible from the public internet (You may need to add a firewall rule on 0.0.0.0/0 on port 1433), or
Accessible from a static IP that you've configured from a VPC in Pipedream, and enabled the workflow to connect through that VPC

About Microsoft SQL Server#

Unleash the power of your data—on-premises, in the cloud, or at the edge—and reveal insights to transform your business.

Action#

Start Tracking Time on TrackingTime

Description:Start tracking time of a task. [See the documentation](https://api.trackingtime.co/doc/time_tracking.html#sync:~:text=Sync%20tracking%20event-,Start%20Tracking%20Time,-Starts%20a%20timer)

Version:0.0.2

Key:trackingtime-start-tracking-time

View on GitHub

TrackingTime Overview#

The TrackingTime API enables the automation of time tracking, task management, and reporting processes. In Pipedream, you can use this API to create powerful workflows that connect TrackingTime with other apps to streamline productivity, enhance project management, and generate insights on time allocation. Automate tasks based on project activities, sync time entries with calendars, or trigger notifications based on tracked time data.

Action Code#

import app from "../../trackingtime.app.mjs";

export default {
  name: "Start Tracking Time",
  version: "0.0.2",
  annotations: {
    destructiveHint: true,
    openWorldHint: true,
    readOnlyHint: false,
  },
  key: "trackingtime-start-tracking-time",
  description: "Start tracking time of a task. [See the documentation](https://api.trackingtime.co/doc/time_tracking.html#sync:~:text=Sync%20tracking%20event-,Start%20Tracking%20Time,-Starts%20a%20timer)",
  type: "action",
  props: {
    app,
    taskId: {
      propDefinition: [
        app,
        "taskId",
      ],
    },
    projectId: {
      propDefinition: [
        app,
        "projectId",
      ],
      optional: true,
    },
    date: {
      label: "Date",
      description: "The event's start date. Format ISO 8601: `yyyy-MM-dd HH:mm:ss` like `2014-01-31 17:30:59`",
      type: "string",
      optional: true,
    },
    estimatedTime: {
      label: "Estimated Time",
      description: "Set a new estimated time for this task",
      type: "string",
      optional: true,
    },
    stopRunningTask: {
      label: "Stop Running Task",
      description: "If set to true, any currently running task will be stopped before the new one is started.",
      type: "boolean",
      optional: true,
    },
    returnTask: {
      label: "Return Task",
      description: "If set to true, a task object is returned",
      type: "boolean",
      optional: true,
    },
    tags: {
      label: "Tags",
      description: "An array of tags to be added to the newly created time entry. E.g. `[{\"n\":\"name\",\"c\":\"color\",\"v\":\"value\",\"t\":\"type\"}]`",
      type: "boolean",
      optional: true,
    },
    timezone: {
      label: "Timezone",
      description: "The user's timezone as `GMT+3` or `GMT+03:00`",
      type: "string",
      optional: true,
    },
  },
  async run({ $ }) {
    const tags = typeof this.tags === "string"
      ? JSON.parse(this.tags)
      : this.tags;

    const response = await this.app.startTrackingTime({
      $,
      taskId: this.taskId,
      params: {
        date: this.date,
        projectId: this.projectId,
        return_task: this.returnTask,
        stop_running_task: this.stopRunningTask,
        estimated_time: this.estimatedTime,
        timezone: this.timezone,
        tags,
      },
    });

    if (response) {
      $.export("$summary", `Successfully started tracking time of the task ID ${this.taskId}`);
    }

    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
TrackingTime	`app`	`app`	This component uses the TrackingTime app.
Task ID	`taskId`	`string`	Select a value from the drop down menu.
Project ID	`projectId`	`string`	Select a value from the drop down menu.
Date	`date`	`string`	The event's start date. Format ISO 8601: `yyyy-MM-dd HH:mm:ss` like `2014-01-31 17:30:59`
Estimated Time	`estimatedTime`	`string`	Set a new estimated time for this task
Stop Running Task	`stopRunningTask`	`boolean`	If set to true, any currently running task will be stopped before the new one is started.
Return Task	`returnTask`	`boolean`	If set to true, a task object is returned
Tags	`tags`	`boolean`	An array of tags to be added to the newly created time entry. E.g. `[{"n":"name","c":"color","v":"value","t":"type"}]`
Timezone	`timezone`	`string`	The user's timezone as `GMT+3` or `GMT+03:00`