Run Python Code with Python API on New Product from DEAR Systems API

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Trigger workflow on

New Product from the DEAR Systems 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 DEAR Systems trigger and Python action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Product trigger
1. Connect your DEAR Systems account
2. Configure timer
3. Optional- Configure “SKU” Starts With”
4. Optional- Configure Name Starts With
Configure the Run Python Code action
1. Connect your Python account
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 Product on DEAR Systems

Description:Emit new event when a product is created

Version:0.0.4

Key:dear-new-product

View on GitHub

DEAR Systems Overview#

DEAR Systems offers an API that provides programmatic access to its inventory management platform, allowing for seamless integration with other apps for automating various business processes. Leveraging this API within Pipedream, you can create custom workflows to synchronize inventory levels, manage sales and purchase orders, and automate financial reporting among other tasks. By connecting DEAR Systems to Pipedream’s vast array of supported apps, you can achieve a high degree of automation, reducing manual entry and data errors, and gaining insights from real-time data processing.

Trigger Code#

import {
  pick,
  pickBy,
} from "lodash-es";
import constants from "../../common/constants.mjs";
import base from "../common/polling.mjs";

export default {
  ...base,
  name: "New Product",
  key: "dear-new-product",
  type: "source",
  description: "Emit new event when a product is created",
  version: "0.0.4",
  dedupe: "unique",
  props: {
    ...base.props,
    sku: {
      type: "string",
      label: "“SKU” Starts With”",
      description: "Filter products with the *SKU* starting with this value",
      optional: true,
    },
    name: {
      type: "string",
      label: "Name Starts With",
      description: "Filter products with the *Name* starting with this value",
      optional: true,
    },
  },
  methods: {
    ...base.methods,
    defaultParams() {
      const params = pickBy(pick(this, [
        "sku",
        "name",
      ]));
      params.page = 1;
      return params;
    },
    getMetadata(product) {
      const {
        SKU: sku,
        ID: id,
        LastModifiedOn: ts,
        Name: name,
      } = product;

      return {
        id: `${sku}_${id}`,
        ts,
        summary: `New product: ${name}`,
      };
    },
    async pollFunction(params) {
      const data = [];

      while (true) {
        console.log(`Retrieving list of products for page ${params.page}`);
        const { Products: products } = await this.dear.listProducts({
          params: {
            ...params,
            limit: params.limit || constants.PAGE_LIMIT,
          },
        });

        console.log(`Retrieved ${products.length} product(s).`);
        data.push(...products);

        if (products.length < constants.PAGE_LIMIT) {
          console.log("Exausted list of products. Exiting.");
          break;
        }

        console.log("Requesting next page of products.");
        params.page++;
      }

      return data;
    },
  },
};

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
DEAR Systems	`dear`	`app`	This component uses the DEAR Systems app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
“SKU” Starts With”	`sku`	`string`	Filter products with the SKU starting with this value
Name Starts With	`name`	`string`	Filter products with the Name starting with this value

Trigger Authentication#

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

To use the API you will need your DEAR Account ID and API Application key. These can be created on the API setup page inside DEAR Inventory application.

About DEAR Systems#

DEAR Inventory is a comprehensive inventory control application positioned as a complete back end management system with product planning, cost and development, manufacturing, sales, shipping and payment features.

Action#

Run Python Code on Python

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

View on GitHub

Python Overview#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

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
  },
};