Bolt IoT
Bolt IoT platform gives you the capability to control your devices and collect data from IoT devices safely and securely no matter where you are. The Bolt IoT Platform consists of three major components: Bolt WiFi module, Bolt Cloud, Bolt Mobile App.
Integrate the Bolt IoT API with the Python API
Setup the Bolt IoT API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Bolt IoT and Python remarkably fast. Free for developers.
Popular Bolt IoT 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 Bolt IoT#
The Bolt IoT API lets you harness the power of your Bolt IoT devices, enabling you to control and monitor them remotely through Pipedream. With Pipedream's serverless platform, you can create automated workflows that trigger on specific events, process data, and integrate with countless other services. Whether you're aiming to automate your smart home, set up alerts, or manage device data, Pipedream makes it straightforward to connect Bolt IoT with a world of apps and services for a seamless automation experience.
Connect Bolt IoT#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bolt_iot: {
type: "app",
app: "bolt_iot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://cloud.boltiot.com/remote/${this.bolt_iot.$auth.api_key}/getDevices`,
})
},
})
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}}