Integrate the Enedis Data-Connect API with the Python API

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

Popular Enedis Data-Connect and Python Actions#

Get Address with the Enedis Data-Connect API

Returns the address of a client. See the docs here

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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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Get Consumption Load Curve with the Enedis Data-Connect API

Returns the daily average power consumed in W, on a given interval (by default 30 minutes). See the docs here

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Get Contact with the Enedis Data-Connect API

Returns the contact informations of a client. See the docs here

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Get Contracts with the Enedis Data-Connect API

Returns the contract informations of a client. See the docs here

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Overview of Enedis Data-Connect#

Enedis Data-Connect API provides access to energy consumption data, enabling users to analyze and optimize electricity usage. By integrating with this API on Pipedream, you can automate the collection of meter readings, track energy consumption patterns, and even develop personalized energy-saving strategies. Pipedream's serverless platform simplifies connecting Enedis Data-Connect with other apps, allowing you to set up complex workflows without managing infrastructure.

Connect Enedis Data-Connect#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    enedis: {
      type: "app",
      app: "enedis",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://ext.hml.api.enedis.fr/metering_data_dcmp/v5/daily_consumption_max_power`,
      headers: {
        Authorization: `Bearer ${this.enedis.$auth.oauth_access_token}`,
      },
      params: {
        start: `  `,
        end: ``,
        usage_points_id: ``,
      },
    })
  },
})

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}}