Add or update multiple records with Data Stores API on New Timesheet Entry from Harvest API

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New Timesheet Entry from the Harvest API

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Add or update multiple records with the Data Stores API

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Getting Started#

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

Select this integration
Configure the New Timesheet Entry trigger
1. Connect your Harvest account
2. Configure Polling interval
3. Select a Account ID
Configure the Add or update multiple records action
1. Connect your Data Stores account
2. Configure Data Store
3. Configure Data
4. Optional- Configure Time to Live (TTL)
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 Timesheet Entry on Harvest

Description:Emit new notifications when a new timesheet entry is created

Version:0.0.4

Key:harvest-new-timesheet-entry

View on GitHub

Harvest Overview#

Harvest is a time tracking and invoicing tool that can streamline the way freelancers and businesses record time for various projects and tasks. By leveraging the Harvest API on Pipedream, you can automate complex workflows that integrate time tracking data with other business tools. Generate reports, sync project data, and manage invoices with minimal manual intervention. Pipedream's serverless platform lets you create these automations using simple, code-driven components, enabling a seamless connection between Harvest and a multitude of other apps.

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.

Label	Prop	Type	Description
Harvest	`harvest`	`app`	This component uses the Harvest app.
Polling interval	`timer`	`$.interface.timer`	Pipedream will poll Harvest API on this schedule
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Account ID	`accountId`	`string`	Select 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#

Add or update multiple records on Data Stores

Description:Add or update multiple records to your [Pipedream Data Store](https://pipedream.com/data-stores/).

Version:0.0.7

Key:data_stores-add-update-multiple-records

View on GitHub

Data Stores Overview#

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Action Code#

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

export default {
  key: "data_stores-add-update-multiple-records",
  name: "Add or update multiple records",
  description: "Add or update multiple records to your [Pipedream Data Store](https://pipedream.com/data-stores/).",
  version: "0.0.7",
  type: "action",
  props: {
    app,
    dataStore: {
      propDefinition: [
        app,
        "dataStore",
      ],
    },
    data: {
      label: "Data",
      type: "object",
      description: "Enter data you'd like to add as key-value pairs, or reference an object from a previous step using a custom expression (e.g., `{{steps.data.$return_value}}`). Note that any keys that are duplicated will get overwritten with the last value entered (so `[{jerry: \"constanza\", jerry: \"seinfeld\"}]` will get stored as `[{jerry: \"seinfeld\"}]`).",
    },
    ttl: {
      propDefinition: [
        app,
        "ttl",
      ],
    },
  },
  methods: {
    /**
     * Tries to convert a string to a JSON object or a primitive value.
     * @param {any} value Value to be converted
     * @returns The converted value
     */
    convertString(value) {
      // If type is already primitive non string, return it
      const primitives = [
        "boolean",
        "number",
      ];
      if (primitives.includes(typeof value)) {
        return value;
      }

      // Tries to convert string to possible other primitive types
      if (typeof value === "string") {
        // Convert boolean
        if (value.toLowerCase() === "true") {
          return true;
        }
        if (value.toLowerCase() === "false") {
          return false;
        }

        // Convert number
        if (!isNaN(value)) {
          return parseFloat(value);
        }
      }

      return this.app.evaluate(value);
    },
    /**
     * Add all the key-value pairs in the map object to be used in the data store
     * @param {*} data Data to be parsed
     * @param {Map} map Hashmap to be updated
     */
    populateHashMapOfData(data, map) {
      if (!Array.isArray(data) && typeof(data) === "object") {
        Object.keys(data).forEach((key) => map[key] = this.convertString(data[key]));
        return;
      }

      if (Array.isArray(data)) {
        for (const item of data) {
          this.populateHashMapOfData(item, map);
        }
      }
    },
    getHashMapOfData(data) {
      const map = {};
      this.populateHashMapOfData(data, map);
      return map;
    },
  },
  async run({ $ }) {
    if (typeof this.data === "string") {
      this.data = this.app.evaluate(this.data);
    }
    const map = this.getHashMapOfData(this.data);
    const keys = Object.keys(map);

    const promises = Object.keys(map).map((key) => {
      if (this.ttl) {
        return this.dataStore.set(key, map[key], {
          ttl: this.ttl,
        });
      } else {
        return this.dataStore.set(key, map[key]);
      }
    });

    await Promise.all(promises);

    if (keys.length === 0) {
      $.export("$summary", "No data was added to the data store.");
    } else {
      // eslint-disable-next-line multiline-ternary
      $.export("$summary", `Successfully added or updated ${keys.length} record${keys.length === 1 ? "" : "s"}${this.ttl ? ` (expires in ${this.app.formatTtl(this.ttl)})` : ""}`);
    }

    // Include TTL in the returned map
    return {
      ...map,
      _ttl: this.ttl || null,
    };
  },
};

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
Data Stores	`app`	`app`	This component uses the Data Stores app.
Data Store	`dataStore`	`data_store`	Select an existing Data Store or create a new one.
Data	`data`	`object`	Enter data you'd like to add as key-value pairs, or reference an object from a previous step using a custom expression (e.g., `{{steps.data.$return_value}}`). Note that any keys that are duplicated will get overwritten with the last value entered (so `[{jerry: "constanza", jerry: "seinfeld"}]` will get stored as `[{jerry: "seinfeld"}]`).
Time to Live (TTL)	`ttl`	`integer`	The number of seconds until this record expires and is automatically deleted. Examples: 3600 (1 hour), 86400 (1 day), 604800 (1 week). Leave blank for records that should not expire.