DeployHQ
Deployment made simple. We make it super easy to automate deploying projects from Git, SVN and Mercurial repositories.
Integrate the DeployHQ API with the Python API
Setup the DeployHQ API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate DeployHQ and Python remarkably fast. Free for developers.
Popular DeployHQ 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 DeployHQ#
DeployHQ is a service that automates the deployment of your web applications. By integrating with version control systems, DeployHQ can automatically deploy code changes to various environments. Using the DeployHQ API on Pipedream, you can orchestrate deployments, manage your projects, and synchronize deployment activities with other tools in your toolchain. It opens up possibilities for custom deployment workflows, notifications, monitoring, and more, all connected within the Pipedream ecosystem.
Connect DeployHQ#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
deployhq: {
type: "app",
app: "deployhq",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.deployhq.$auth.account_name}.deployhq.com/projects`,
headers: {
"Accept": `application/json`,
"Content-Type": `application/json`,
},
auth: {
username: `${this.deployhq.$auth.email}`,
password: `${this.deployhq.$auth.api_key}`,
},
})
},
})
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}}