← Harvest + Python integrations

Run Python Code with Python API on New Timesheet Entry from Harvest API

Pipedream makes it easy to connect APIs for Python, Harvest and 2,000+ other apps remarkably fast.

Trigger workflow on
New Timesheet Entry from the Harvest API
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Run Python Code with the Python API
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Getting Started

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

  1. Select this integration
  2. Configure the New Timesheet Entry trigger
    1. Connect your Harvest account
    2. Configure Polling interval
    3. Select a Account ID
  3. Configure the Run Python Code action
    1. Connect your Python account
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new notifications when a new timesheet entry is created
Version:0.0.4
Key:harvest-new-timesheet-entry

Harvest Overview

The Harvest API allows developers to programmatically access data and objects
in Harvest, a web-based time tracking application. With the API, developers can
create applications that submit and retrieve time tracking data, as well as
automate various aspects of the Harvest user experience.

Some examples of what you can build using the Harvest API include:

  • A time tracking application that automatically submits time tracking data to
    Harvest on behalf of the user
  • A reporting application that retrieves time tracking data from Harvest and
    presents it in various charts and graphs
  • An integration with a third-party project management application that pulls
    in time tracking data from Harvest to provide a more complete picture of
    project progress

Trigger Code

import harvest from "../../harvest.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  key: "harvest-new-timesheet-entry",
  name: "New Timesheet Entry",
  description: "Emit new notifications when a new timesheet entry is created",
  version: "0.0.4",
  type: "source",
  props: {
    harvest,
    timer: {
      label: "Polling interval",
      description: "Pipedream will poll Harvest API on this schedule",
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    db: "$.service.db",
    accountId: {
      propDefinition: [
        harvest,
        "accountId",
      ],
    },
  },
  dedupe: "unique",
  async run() {
    const data = [];
    let lastDateChecked = this.harvest.getLastDateChecked(this.db);
    if (!lastDateChecked) {
      lastDateChecked = new Date().toISOString();
      this.harvest.setLastDateChecked(this.db, lastDateChecked);
    }
    const entries = await this.harvest.listTimeEntriesPaginated({
      page: 1,
      updatedSince: lastDateChecked,
      accountId: this.accountId,
    });
    for await (const entry of entries) {
      data.push(entry);
    }
    data && data.reverse().forEach((entry) => {
      this.harvest.setLastDateChecked(this.db, entry.updated_at);
      this.$emit(entry,
        {
          id: entry.id,
          summary: `Task: ${entry.task.name} - ${entry.spent_date} ${entry.started_time || ""} ${entry.ended_time
            ? " to " + entry.ended_time
            : ""}`,
          ts: Date.parse(entry.updated_at),
        });
    });
  },
};

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.
LabelPropTypeDescription
HarvestharvestappThis component uses the Harvest app.
Polling intervaltimer$.interface.timer

Pipedream will poll Harvest API on this schedule

N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Account IDaccountIdstringSelect a value from the drop down menu.

Trigger Authentication

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

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

About Harvest

Online Time Tracking and Invoicing Software

Action

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.
Version:0.0.2
Key:python-run-python-code

Python Overview

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Action Code

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

export default {
  name: "Run Python Code",
  version: "0.0.2",
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};

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.

LabelPropTypeDescription
PythonpythonappThis component uses the Python app.

Action Authentication

The Python API does not require authentication.

About Python

Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.

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