Clockify API to Automate Tasks Tracking

automating time tracking for a more accurate record of time spent on projects

PublishedJanuary 14, 2023

Infrastructure Developer

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My Notes

12 posts

import requests import datetime import random import os clockify_api_key = os.environ["clockify_api_key"] clockify_workspace_id = os.environ["clockify_workspace_id"] clockify_project_id = os.environ["clockify_project_id"] def start_clockify_timer(project_id: str, description: str) -> dict: # Get the current time start_time = datetime.datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%SZ") end_time = (datetime.datetime.utcnow() + datetime.timedelta(hours=12)).strftime("%Y-%m-%dT%H:%M:%SZ") # Define the headers and payload for the API request headers = { "X-Api-Key": clockify_api_key, "Content-Type": "application/json", } payload = { "start": start_time, "end": end_time, "billable": True, "description": description, "projectId": project_id, } # Define the URL and make the API request url = f"https://api.clockify.me/api/v1/workspaces/{clockify_workspace_id}/time-entries" response = requests.post(url, headers=headers, json=payload) if response.status_code != 201: raise Exception(f"Failed to start timer: {response.text}") # Return the response as a JSON object return response.json()

Command Palette

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