Output

import nextmv

output = nextmv.Output(
    solution={"foo": "bar"},
    statistics=nextmv.Statistics(
        result=nextmv.ResultStatistics(
            duration=1.0,
            value=2.0,
            custom={"custom": "result_value"},
        ),
        run=nextmv.RunStatistics(
            duration=3.0,
            iterations=4,
            custom={"custom": "run_value"},
        ),
    ),
)

# Write to stdout.
nextmv.write(output)

# Write to a file.
nextmv.write(output, path="output.json")

import nextmv

output = nextmv.Output(
    output_format=nextmv.OutputFormat.CSV_ARCHIVE,
    solution={
        "output": [
            {"name": "Alice", "age": 30},
            {"name": "Bob", "age": 40},
        ],
    },
    statistics=nextmv.Statistics(
        result=nextmv.ResultStatistics(
            duration=1.0,
            value=2.0,
            custom={"custom": "result_value"},
        ),
        run=nextmv.RunStatistics(
            duration=3.0,
            iterations=4,
            custom={"custom": "run_value"},
        ),
    ),
)

# Write multiple CSV fiules to a dir named "output".
nextmv.write(output)

# Write multiple CSV files to a custom dir.
nextmv.write(output, "custom_dir")

import json

import nextmv
import plotly.graph_objects as go


def create_visuals(name: str, radius: float, distance: float) -> list[nextmv.Asset]:
    """Create a Plotly bar chart with radius and distance for a planet."""

    fig = go.Figure()
    fig.add_trace(
        go.Bar(x=[name], y=[radius], name="Radius (km)", marker_color="red", opacity=0.5),
    )
    fig.add_trace(
        go.Bar(x=[name], y=[distance], name="Distance (Millions km)", marker_color="blue", opacity=0.5),
    )
    fig.update_layout(
        title="Radius and Distance by Planet", xaxis_title="Planet", yaxis_title="Values", barmode="group"
    )
    fig = fig.to_json()

    assets = [
        nextmv.Asset(
            name="Plotly example",
            content_type="json",
            visual=nextmv.Visual(
                visual_schema=nextmv.VisualSchema.PLOTLY,
                visual_type="custom-tab",
                label="Charts",
            ),
            content=[json.loads(fig)],
        )
    ]

    return assets

import nextmv
from visuals import create_visuals

# Read the input from stdin.
input = nextmv.load()
name = input.data["name"]

options = nextmv.Options(
    nextmv.Option("details", bool, True, "Print details to logs. Default true.", False),
)

##### Insert model here

# Print logs that render in the run view in Nextmv Console.
message = f"Hello, {name}"
nextmv.log(message)

if options.details:
    detail = "You are", {input.data["distance"]}, " million km from the sun"
    nextmv.log(detail)

assets = create_visuals(name, input.data["radius"], input.data["distance"])

# Write output and statistics.
output = nextmv.Output(
    options=options,
    solution=None,
    statistics=nextmv.Statistics(
        result=nextmv.ResultStatistics(
            value=1.23,
            custom={"message": message},
        ),
    ),
    assets=assets,
)
nextmv.write(output)