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.

Integrate the DEAR Systems API with the Python API

Setup the DEAR Systems API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate DEAR Systems and Python remarkably fast. Free for developers.

Run Python Code with Python API on New Authorized Purchase Order from DEAR Systems API
DEAR Systems + Python
 
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Run Python Code with Python API on New Authorized Sale Order from DEAR Systems API
DEAR Systems + Python
 
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Run Python Code with Python API on New Authorized Sale Quote from DEAR Systems API
DEAR Systems + Python
 
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Run Python Code with Python API on New Available Stock Level Change from DEAR Systems API
DEAR Systems + Python
 
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Run Python Code with Python API on New Customer Updated from DEAR Systems API
DEAR Systems + Python
 
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New Authorized Purchase Order from the DEAR Systems API

Emit new event when a purchase order is created and authorized

 
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New Authorized Sale Order from the DEAR Systems API

Emit new event when a sale order is created and authorized

 
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New Authorized Sale Quote from the DEAR Systems API

Emit new event when a sale quote is created and authorized

 
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New Available Stock Level Change from the DEAR Systems API

Emit new event when the available stock level changes. See the documentation

 
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New Customer Updated from the DEAR Systems API

Emit new event when a customer is updated. See the documentation

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Overview of DEAR Systems

With the DEAR Systems API, you can build a range of applications that can
automate your business processes. Below are some examples of what you can
build:

  • An application to automatically generate invoices and send them to customers
  • A system to track inventory levels and send alerts when levels are low
  • An app to manage sales orders and send shipping notifications
  • A tool to streamline your purchasing process by integrating with supplier
    systems

Connect DEAR Systems

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dear: {
      type: "app",
      app: "dear",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://inventory.dearsystems.com/ExternalApi/v2/me`,
      headers: {
        "api-auth-accountid": `${this.dear.$auth.account_id}`,
        "api-auth-applicationkey": `${this.dear.$auth.application_key}`,
      },
    })
  },
})

Overview of Python

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

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}