TMetric
TMetric is a time tracking app to increase productivity and business efficiency.
Integrate the TMetric API with the Python API
Setup the TMetric API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate TMetric and Python remarkably fast. Free for developers.
Popular TMetric and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of TMetric#
The TMetric API provides the ability to interact programmatically with TMetric's time tracking features, allowing developers to create, read, update, and delete time entries, projects, and workspaces. By leveraging the API within Pipedream, you can connect TMetric to hundreds of other apps to automate time tracking as part of larger business processes, such as invoicing, project management, and reporting workflows.
Connect TMetric#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tmetric: {
type: "app",
app: "tmetric",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.tmetric.com/api/v3/user`,
headers: {
Authorization: `Bearer ${this.tmetric.$auth.api_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}}