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.
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Popular Ways to Connect Decision Journal with Python#
Popular Decision Journal and Python Triggers#
Emit new event when a new decision is created. See the documentation
Popular Decision Journal and Python Actions#
Creates a new decision in the Decision Journal. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a review for a decision in Decision Journal. See the documentation
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#
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#
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies