Simple and streamlined. Sifter makes issue tracking convenient for even your least technical team members so that everyone can get involved and help find and resolve issues sooner.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Sifter API enables developers to craft workflows for tracking and managing customer interactions and support inquiries efficiently. By leveraging the Sifter API on Pipedream, users can automate issue tracking, streamline customer communication, and ensure quick resolution of support tickets. With Pipedream's ability to connect to hundreds of apps, you can create multi-step workflows that trigger actions in other tools, leading to increased productivity and a better support experience.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sifter: {
type: "app",
app: "sifter",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://pdapikey.sifterapp.com/api/projects`,
headers: {
"Accept": `application/json`,
"X-Sifter-Token": `${this.sifter.$auth.access_key}`,
},
})
},
})
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:
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}}