Integrate the SkyCiv API with the Python API

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

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Popular SkyCiv and Python Actions#

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 SkyCiv#

SkyCiv API offers engineering analysis and design capabilities within the cloud, allowing structural calculations and manipulations over the web. By integrating SkyCiv with Pipedream, users can automate complex engineering workflows, connect with other apps for enhanced data handling, and trigger actions based on structural analysis results. This seamless integration facilitates real-time decision-making and can significantly streamline operations in construction, architecture, and engineering projects.

Connect SkyCiv#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    skyciv: {
      type: "app",
      app: "skyciv",
    }
  },
  async run({steps, $}) {
    const data = {
    	"auth": {
    		"username": `${this.skyciv.$auth.email}`,
    		"key": `${this.skyciv.$auth.api_key}`
    	},
    	"functions": [
    		{
    			"function": "S3D.session.start",
    			"arguments": {}
    		},
    		{
    			"function": "S3D.model.script",
    			"arguments": {
    				"script": "API_RETURN_DATA = S3D.info.user;"
    			}
    		}
    	]
    }
    return await axios($, {
      method: "post",
      url: `https://api.skyciv.com:8085/v3`,
      data,
    })
  },
})

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#

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}}

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