Chatra is a live chat messenger app designed to infuse the most popular elements of mobile messengers into traditional live chat software.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Chatra API enables the automation of customer support processes by allowing the programmatic sending of messages, retrieval of chat history, and management of ongoing conversations. With Pipedream's serverless platform, you can harness this API to integrate real-time chat capabilities with other applications, set up automated responses based on specific triggers, and analyze customer interactions to enhance support strategies.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chatra: {
type: "app",
app: "chatra",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.chatra.io/api/messages/XGDsxHtLppJTJ3vZk`,
headers: {
"Content-Type": `application/json`,
"Authorization": `Chatra.Simple ${this.chatra.$auth.public_key}:${this.chatra.$auth.secret_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}}