Decision Journal

Decision Journal is an app for keeping track of and improving your decision making.

Integrate the Decision Journal API with the Python API

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

Run Python Code with Python API on New Decision Created from Decision Journal API
Decision Journal + Python
 
Try it
New Decision Created from the Decision Journal API

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

 
Try it
Create Decision with the Decision Journal API

Creates a new decision in the Decision Journal. See the documentation

 
Try it
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.

 
Try it
Create Review Decision with the Decision Journal API

Creates a review for a decision in Decision Journal. See the documentation

 
Try it
Update Decision with the Decision Journal API

Updates an existing decision. See the documentation

 
Try it

Overview of Decision Journal

The Decision Journal API allows for the systematic tracking of decisions over time, providing a structured way to log and evaluate past choices. By integrating with Pipedream, users can automate workflows to capture decisions from various sources, set reminders for review, analyze decision patterns, and sync with other productivity tools. This supports improved decision-making processes and personal growth.

Connect Decision Journal

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    decision_journal: {
      type: "app",
      app: "decision_journal",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.decisionjournalapp.com/v1/decisions`,
      headers: {
        Authorization: `Bearer ${this.decision_journal.$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

1
2
3
4
5
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}}