Qryptal provides innovative & effective mobile enabled products and solutions to large enterprises and small businesses.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Qryptal API offers robust solutions for generating and validating secure document QR codes that can be integrated seamlessly into documents for authenticity verification. This is particularly crucial in sectors like education, finance, and government, where document integrity is paramount. Using Pipedream, the API can be connected to a variety of other services to create complete automation workflows, enhancing processes like document management, compliance tracking, and secure exchanges.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
qryptal: {
type: "app",
app: "qryptal",
}
},
async run({steps, $}) {
const data = {
"data": {
"City/Town": "Utopia City",
"District": "Central District",
"Name": "John Doe",
"Demographics": {
"Sex": "Male",
"DOB": "May 9 1996",
"City": "Utopia City"
}
},
"format":{
"version":"2",
"fields":[
{
"Photocard":{
"type":"4T1P",
"kvals":[
["Name"],
["Demographics", "Sex"],
["Demographics", "DOB"],
["Demographics", "City"]
],
"dict": {
"file_type":"png",
"file_field":"img1"
}
}
},
{
"City":{
"type":"t2",
"kval":[
"City/Town"
]
}
},
{
"District":{
"type":"t2",
"kval":[
"District"
]
}
}
]
},
"scheme": "C02-EDC-S-B64PNG"
}
return await axios($, {
method: "post",
url: `${this.qryptal.$auth.host}:${this.qryptal.$auth.port}/v2/Vqodes/`,
headers: {
"Authorization": `Token ${this.qryptal.$auth.token}`,
},
data,
})
},
})
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}}