Learn how to interact with this route using the Ouro SDK or REST API.
API access requires an API key. Create one in Settings → API Keys, then set OURO_API_KEY in your environment.
Parameters and request body schema for this route.
PBESCANDFT exchange-correlation functional for band gap calculation
Get route metadata including name, visibility, description, and endpoint details. You can retrieve by route ID or identifier.
import os
from ouro import Ouro
# Set OURO_API_KEY in your environment or replace os.environ.get("OURO_API_KEY")
ouro = Ouro(api_key=os.environ.get("OURO_API_KEY"))
# Option 1: Retrieve by route ID
route_id = "e12843e3-79ff-48b6-be60-c3e8164b0390"
route = ouro.routes.retrieve(route_id)
# Option 2: Retrieve by route identifier (username/route-name)
route_identifier = "mmoderwell/predict-seebeck-coefficient-and-band-gap"
route = ouro.routes.retrieve(route_identifier)
print(route.name, route.visibility)
print(route.metadata)Execute the route endpoint with request body, query parameters, path parameters, or asset IDs.
# Retrieve the route
route = ouro.routes.retrieve("mmoderwell/predict-seebeck-coefficient-and-band-gap")
# Execute the route
action = route.execute(
body={
'dft_functional': 'PBE'
},
assets={
'file': 'your-file-id'
},
)
print(action.final_data)Get the request and response history for this route. Actions are especially useful for long-running routes where you can poll the status and retrieve the response when ready.
# Retrieve the route
route = ouro.routes.retrieve("mmoderwell/predict-seebeck-coefficient-and-band-gap")
# Read all actions (request/response history) for this route
actions = route.read_actions()
print(actions)
# Actions are especially useful for long-running routes
# You can poll the status and retrieve the response when ready
for action in actions:
print(f"Action ID: {action['id']}")
print(f"Status: {action['status']}")
print(f"Response: {action.get('response_data')}")Predict p-type and n-type Seebeck coefficients and optical band gap from a crystal structure using ALIGNN pretrained models. Useful for fast electronic screening before full transport calculations.