Using Model IDs#
examples/simulation/03_protocol_with_model_id.py#
"""
Example: Create a protocol-based simulation using an existing parameterized model ID.
This example shows how to use a parameterized model ID string instead of a quick
model or full model dictionary. You would typically get the parameterized model ID
from creating a model first or from a previous simulation. It polls for completion
and plots the results.
Set the TEST_PARAMETERIZED_MODEL_ID environment variable to specify which
parameterized model ID to use.
"""
import os
from examples.simulation.utils import plot_simulation_results
from ionworks import Ionworks
# Initialize client
client = Ionworks()
# Define a simple protocol
protocol_yaml = """global:
initial_state_type: soc_percentage
initial_state_value: input['Initial SOC [%]']
initial_temperature: 25.0
steps:
- Charge:
mode: C-rate
value: "1"
ends:
- Voltage > 4.2
- Rest:
duration: 3600
"""
# Create simulation with parameterized model ID
# Get parameterized model ID from environment variable
parameterized_model_id = os.getenv("TEST_PARAMETERIZED_MODEL_ID")
if not parameterized_model_id:
print("Error: TEST_PARAMETERIZED_MODEL_ID environment variable is required")
print("Set it with: export TEST_PARAMETERIZED_MODEL_ID=your-parameterized-model-id")
exit(1)
config = {
"parameterized_model": parameterized_model_id,
"protocol_experiment": {
"protocol": protocol_yaml,
"name": "Protocol with Parameterized Model ID",
},
"experiment_parameters": {"Initial SOC [%]": 50},
"max_backward_jumps": 5,
}
print(
"Creating protocol-based simulation with parameterized model ID: "
f"'{parameterized_model_id}'..."
)
try:
result = client.simulation.protocol(config)
print("Simulation created!")
print(f" Simulation ID: {result.simulation_id}")
print(f" Job ID: {result.job_id}")
except Exception as e:
print(f"Error: {e}")
print(
f"Note: Make sure parameterized model ID '{parameterized_model_id}' "
"exists in your system, or set TEST_PARAMETERIZED_MODEL_ID environment "
"variable to a valid parameterized model ID."
)
exit(1)
# Wait for completion (polls automatically)
simulation = client.simulation.wait_for_completion(
result.simulation_id, timeout=60, poll_interval=2
)
# Get simulation results
simulation_data = client.simulation.get_result(result.simulation_id)
time_series = simulation_data.get("time_series", {})
if not time_series:
print("No time series data available")
exit(1)
# Plot results using utility function
plot_simulation_results(time_series, title="Simulation Results")