Reflect

Our mission is to improve the way people think by making a jolly good note-taking app.

Integrate the Reflect API with the Python API

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

Run Python Code with Python API on New Link Created from Reflect API
Reflect + Python
 
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New Link Created from the Reflect API

Emit new event when a new link is created. See the documentation

 
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Append Daily Note with the Reflect API

Append to a daily note. 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 Link with the Reflect API

Create a new link. See the documentation

 
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Get User with the Reflect API

Retieves information about the authenticated user. See the documentation

 
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List Links with the Reflect API

Retieve all links for a graph. See the documentation

 
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Overview of Reflect

The Reflect API offers a platform for creating automated tests without writing code. It enables users to build workflows that can record and replay web interactions, check the functionality and performance of web applications, and trigger alerts or actions based on test results. With Pipedream, you can harness the Reflect API to integrate automated testing into complex workflows, combining it with various apps and services for a seamless DevOps experience.

Connect Reflect

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    reflect: {
      type: "app",
      app: "reflect",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://reflect.app/api/users/me`,
      headers: {
        Authorization: `Bearer ${this.reflect.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}