Integrate the Fibery API with the Python API

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

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Popular Ways to Connect Fibery with Python#

Run Python Code with Python API on Entity Updated from Fibery API

Fibery + Python

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Run Python Code with Python API on New Entity Created from Fibery API

Fibery + Python

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Popular Fibery and Python Triggers#

Entity Updated from the Fibery API

Emit new event for every updated entity of a certain type. See the docs here

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New Entity Created from the Fibery API

Emit new event for every created entity of a certain type. See the docs here

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Popular Fibery and Python Actions#

Create Entity with the Fibery API

Creates a new entity. 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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Create Multiple Entities with the Fibery API

Creates entities in batch. See the docs here

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Create or Update Entity with the Fibery API

Creates a new entity or updates if it exists. See the docs here

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Get or Create Entity with the Fibery API

Get an entity or create one if it doesn't exist. See the docs here

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Overview of Fibery#

Fibery is a versatile work management platform, and its API amplifies this versatility within Pipedream's environment. Leveraging the Fibery API on Pipedream, you can automate complex workflows that span across project management, product development, and collaborative functions. This includes actions like syncing issues across platforms, aggregating feedback into product roadmaps, or updating project timelines based on external triggers. With Pipedream, you can listen for webhooks, schedule tasks, and seamlessly connect Fibery with other apps to create a dynamic, interconnected workspace.

Connect Fibery#

module.exports = defineComponent({
  props: {
    fibery: {
      type: "app",
      app: "fibery",
    }
  },
  async run({steps, $}) {
    return (await require("@pipedream/platform").axios($, {
      method: "post",
      url: `https://${this.fibery.$auth.account_name}.fibery.io/api/commands`,
      headers: {
        "Authorization": `Token ${this.fibery.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data: [
        {
          "command": "fibery.entity/query",
          "args": {
            "query": {
              "q/from": "fibery/user",
              "q/select": ["fibery/id", "user/name"],
              "q/limit": 1
            }
          }
        }
      ],
    }))[0]
  },
})

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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