with BugHerd and Python?
Emit new event when a new comment is created on a task. See the documentation
Emit new event when a new task is created. See the documentation
Emit new event when a task is updated. See the documentation
Adds a new attachment to the specified task using an existing URL. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a new project. The project will initially have no members. See the documentation
Update one of the tasks in a project. See the documentation
The BugHerd API provides a streamlined interface for managing and tracking bugs and issues directly within your web projects. By leveraging this API on Pipedream, you can automate the bug tracking process, sync data with project management tools, and create custom notifications based on event triggers. Automations can range from simple task creation to complex workflows involving multiple systems, cutting down the manual effort required to keep your development projects bug-free.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bugherd: {
type: "app",
app: "bugherd",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.bugherd.com/api_v2/organization.json`,
auth: {
username: `${this.bugherd.$auth.api_key}`,
password: `x`,
},
})
},
})
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}}