Scenario tests¶

Reference

Find the reference for the scenario module here.

Scenario tests are offline tests used to compare the output from one or more scenarios. A scenario is composed of:

An instance, to reference the underlying executable code.
Input data, to provide the scenario with the necessary information to execute. Data can be obtained from input sets, managed inputs, or new data.
Configurations, to define a variation of options/parameters to be used in the scenario.

You can use the cloud.Scenario class to set up a scenario. Consider the following examples for setting up a scenario:

Input set

from nextmv import cloud

scenario_1 = cloud.Scenario(
    scenario_input=cloud.ScenarioInput(
        scenario_input_type=cloud.ScenarioInputType.INPUT_SET,
        scenario_input_data="input-set-1",
    ),
    instance_id="v0.0.1",
    configuration=[
        cloud.ScenarioConfiguration(
            name="solve.duration",
            values=["1s", "2s"],
        ),
        cloud.ScenarioConfiguration(
            name="solve.iterations",
            values=["10", "20"],
        ),
    ],
)

Managed inputs

from nextmv import cloud

scenario_2 = cloud.Scenario(
    scenario_input=cloud.ScenarioInput(
        scenario_input_type=cloud.ScenarioInputType.INPUT,
        scenario_input_data=["input-1", "input-2"],
    ),
    instance_id="v0.0.2",
    configuration=[
        cloud.ScenarioConfiguration(
            name="solve.duration",
            values=["1s", "2s"],
        ),
        cloud.ScenarioConfiguration(
            name="solve.iterations",
            values=["10", "20"],
        ),
    ],
)

New data

from nextmv import cloud

sample_input = {
    "defaults": {
        "stops": {"duration": 120, "unplanned_penalty": 200000},
        "vehicles": {
            "end_location": {"lat": 33.122746, "lon": -96.659222},
            "end_time": "2021-10-17T11:00:00-06:00",
            "speed": 10,
            "start_location": {"lat": 33.122746, "lon": -96.659222},
            "start_time": "2021-10-17T09:00:00-06:00",
        },
    },
    "stops": [
        {"id": "location-1", "location": {"lat": 33.20580830033956, "lon": -96.75038245222623}, "quantity": -27},
        {"id": "location-2", "location": {"lat": 33.2259142720506, "lon": -96.54613745932127}, "quantity": -30},
        {"id": "location-3", "location": {"lat": 33.23528740544529, "lon": -96.61059803136642}, "quantity": -36},
        {"id": "location-4", "location": {"lat": 33.20379744909628, "lon": -96.61356543957307}, "quantity": -19},
        {"id": "location-5", "location": {"lat": 33.178801586789376, "lon": -96.64137458150537}, "quantity": -31},
    ],
    "vehicles": [{"capacity": 305, "id": "vehicle-1"}, {"capacity": 205, "id": "vehicle-2"}],
}

scenario_3 = cloud.Scenario(
    scenario_input=cloud.ScenarioInput(
        scenario_input_type=cloud.ScenarioInputType.NEW,
        scenario_input_data=[sample_input],
    ),
    instance_id="v0.0.3",
    configuration=[
        cloud.ScenarioConfiguration(
            name="solve.duration",
            values=["1s", "2s"],
        ),
        cloud.ScenarioConfiguration(
            name="solve.iterations",
            values=["10", "20"],
        ),
    ],
)

scenario_1. Demonstrates how to set up a scenario using an input set. The scenario input type is INPUT_SET, and the input set ID is input-set-1. An example instance with ID v0.0.1 is used.
scenario_2. Demonstrates how to set up a scenario using managed inputs. The scenario input type is INPUT, and the input IDs are input-1 and input-2. An example instance with ID v0.0.2 is used.
scenario_3. Demonstrates how to set up a scenario using new data. The scenario input type is NEW, and the input data is a list of dictionaries containing the new data. An example instance with ID v0.0.3 is used.

Note that for the three scenarios, the configuration is the same. The configuration is a list of ScenarioConfiguration objects. A different set of runs will be created from the cross-product of the configuration values. In the examples, a total of 4 runs will be created for each scenario, with the following options:

solve.duration="1s" and solve.iterations="10"
solve.duration="1s" and solve.iterations="20"
solve.duration="2s" and solve.iterations="10"
solve.duration="2s" and solve.iterations="20"

Create a scenario test¶

Reference

Find the reference for the Application class here.

You can create a scenario test using the Application.create_scenario_test method.

import os

from nextmv import cloud

sample_input = {
    "defaults": {
        "stops": {"duration": 120, "unplanned_penalty": 200000},
        "vehicles": {
            "end_location": {"lat": 33.122746, "lon": -96.659222},
            "end_time": "2021-10-17T11:00:00-06:00",
            "speed": 10,
            "start_location": {"lat": 33.122746, "lon": -96.659222},
            "start_time": "2021-10-17T09:00:00-06:00",
        },
    },
    "stops": [
        {"id": "location-1", "location": {"lat": 33.20580830033956, "lon": -96.75038245222623}, "quantity": -27},
        {"id": "location-2", "location": {"lat": 33.2259142720506, "lon": -96.54613745932127}, "quantity": -30},
        {"id": "location-3", "location": {"lat": 33.23528740544529, "lon": -96.61059803136642}, "quantity": -36},
        {"id": "location-4", "location": {"lat": 33.20379744909628, "lon": -96.61356543957307}, "quantity": -19},
        {"id": "location-5", "location": {"lat": 33.178801586789376, "lon": -96.64137458150537}, "quantity": -31},
    ],
    "vehicles": [{"capacity": 305, "id": "vehicle-1"}, {"capacity": 205, "id": "vehicle-2"}],
}

scenario_1 = cloud.Scenario(
    scenario_input=cloud.ScenarioInput(
        scenario_input_type=cloud.ScenarioInputType.INPUT_SET,
        scenario_input_data="input-set-1",
    ),
    instance_id="v0.0.1",
    configuration=[
        cloud.ScenarioConfiguration(
            name="solve.duration",
            values=["1s", "2s"],
        ),
        cloud.ScenarioConfiguration(
            name="solve.iterations",
            values=["10", "20"],
        ),
    ],
)

scenario_2 = cloud.Scenario(
    scenario_input=cloud.ScenarioInput(
        scenario_input_type=cloud.ScenarioInputType.INPUT,
        scenario_input_data=["input-1", "input-2"],
    ),
    instance_id="v0.0.2",
    configuration=[
        cloud.ScenarioConfiguration(
            name="solve.duration",
            values=["1s", "2s"],
        ),
        cloud.ScenarioConfiguration(
            name="solve.iterations",
            values=["10", "20"],
        ),
    ],
)

scenario_3 = cloud.Scenario(
    scenario_input=cloud.ScenarioInput(
        scenario_input_type=cloud.ScenarioInputType.NEW,
        scenario_input_data=[sample_input],
    ),
    instance_id="v0.0.3",
    configuration=[
        cloud.ScenarioConfiguration(
            name="solve.duration",
            values=["1s", "2s"],
        ),
        cloud.ScenarioConfiguration(
            name="solve.iterations",
            values=["10", "20"],
        ),
    ],
)

client = cloud.Client(api_key=os.getenv("NEXTMV_API_KEY"))
app = cloud.Application(client=client, id="<YOUR_APP_ID>")

scenario_test_id = app.new_scenario_test(
    id="scenario_test_1",
    name="Scenario test 1",
    scenarios=[scenario_1, scenario_2, scenario_3],
    description="An optional description for your scenario test",
    repetitions=2,
)
print(scenario_test_id)

Please note the following from the example above:

The id, name and scenarios parameters are required.
The description is optional.
The repetitions parameter is optional and defaults to 0. It defines how many times should the scenario test be repeated. A value of 0 means that the scenario test will not be repeated, thus, the scenario test will be executed once. A value of 1 means that the scenario test will be repeated once, thus, the scenario test will be executed twice. A value of 2 means that 3 scenario tests will be executed, and so on.
You can define an optional scenario_id for each scenario. In the example, the ID is not defined for any of the scenarios, so the ID will be generated automatically by enumerating the scenarios (scenario-1, scenario-2, scenario-3). Note that every scenario must have a unique ID.

Get a scenario test¶

Reference

Find the reference for the Application class here.

Scenario tests are designed to be visualized from the Console web interface. Go to the app, Experiments > Scenario tab.

Scenario test

We highly recommend using the Console for creating and managing scenario tests. However, you can also use the Python SDK to get the results of a scenario test with the Application.scenario_test method.

import os

import nextmv
from nextmv import cloud

client = cloud.Client(api_key=os.getenv("NEXTMV_API_KEY"))
app = cloud.Application(client=client, id="<YOUR_APP_ID>")

scenario_test = app.scenario_test(scenario_test_id="<YOUR_SCENARIO_TEST_ID>")

nextmv.write(scenario_test)

To list all scenario tests in the application, you can use the Application.list_scenario_tests method.

import os

import nextmv
from nextmv import cloud

client = cloud.Client(api_key=os.getenv("NEXTMV_API_KEY"))
app = cloud.Application(client=client, id="<YOUR_APP_ID>")

scenario_tests = app.list_scenario_tests()

for st in scenario_tests:
    nextmv.write(st)

Manage a scenario test¶

Reference

Find the reference for the Application class here.

You can update a scenario test using the Application.update_scenario_test method.

import os

import nextmv
from nextmv import cloud

client = cloud.Client(api_key=os.getenv("NEXTMV_API_KEY"))
app = cloud.Application(client=client, id="<YOUR_APP_ID>")

scenario_test = app.update_scenario_test(
    scenario_test_id="<YOUR_SCENARIO_TEST_ID>",
    name="A new name",
    description="A new description",
)

nextmv.write(scenario_test)

You may also delete a scenario test using the Application.delete_scenario_test method.

import os

from nextmv import cloud

client = cloud.Client(api_key=os.getenv("NEXTMV_API_KEY"))
app = cloud.Application(client=client, id="<YOUR_APP_ID>")

app.delete_scenario_test("<YOUR_SCENARIO_TEST_ID>")