Allocadence

All-in-one cloud platform for managing your warehouse operations. From inventory to order management and shipping, you have total visibility.

Integrate the Allocadence API with the Python API

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

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Run Python Code with Python API on New Customer Order Created from Allocadence API
Allocadence + Python
 
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Run Python Code with Python API on New Purchase Order Created from Allocadence API
Allocadence + Python
 
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New Customer Order Created from the Allocadence API

Emit new event when a new customer order is created.

 
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New Purchase Order Created from the Allocadence API

Emit new event when a new purchase order is created.

 
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Create Customer Order with the Allocadence API

Creates a new customer order. 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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Create Purchase Order with the Allocadence API

Generates a new purchase order. See the documentation

 
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Connect Allocadence

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    allocadence: {
      type: "app",
      app: "allocadence",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.allocadence.com/rest/items`,
      auth: {
        username: `${this.allocadence.$auth.api_key}`,
        password: `${this.allocadence.$auth.api_secret}`,
      },
    })
  },
})

Overview of Python

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:

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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo