Create a dashboard from a REST API.

import serenytics
import requests
client = serenytics.Client()

# This script runs a first API call to get a random list of users
# then, for each user, it calls another API to estimate its gender
# then, the list of users with their genders is uploaded in a storage.
# You need to create this storage first (and copy its UUID in the params below).

# --------------------------- PARAMETERS ---------------------------
# UUID of the storage where to store the data
DESTINATION_DATASOURCE_UUID = 'ENTER_HERE_THE_UUID_OF_A_STORAGE_YOU_CREATED'
NB_PEOPLE=5
# ------------------------------------------------------------------


# --- get a list of random people
url1 = f"https://randomuser.me/api/?results={NB_PEOPLE}&inc=name"
r = requests.get(url1)
list_of_users = r.json()["results"]
print("===> List of users")
print(list_of_users)

# --- call the API for each user to estimate its gender
print("===> Querying genders")
new_data = []
for user in list_of_users:
    print(f"   ===> Querying gender for user '{user['name']['first']} {user['name']['last']}")

    # --- generate the URL to query for this sensor
    url_to_query_data_for_this_user = f"https://api.genderize.io?name={user['name']['first']}"

    # --- query it
    print(f"Querying URL: {url_to_query_data_for_this_user}")
    r = requests.get(url_to_query_data_for_this_user, verify=False)
    res = r.json()
    print(res)

    # --- map the data in a simple flat format (each input will be a column in the destination table):
    new_row = {
        "first_name": user['name']['first'],
        "last_name": user['name']['last'],
        "estimated_gender": res['gender'],
        "estimated_gender_probability": res['probability']
    }
    new_data.append(new_row)

print(f"===> Uploading data to destination table")
destination = client.get_data_source_by_uuid(uuid=DESTINATION_DATASOURCE_UUID)
destination.reload_data(new_data=new_data)