English | 简体中文 | 中文文档

HydroPilot

A configuration-first orchestration framework for hydrological model calibration, evaluation, and optimization.

HydroPilot turns the repetitive glue code around hydrological modeling into a reusable workflow: parameter mapping, input writing, model execution, result extraction, objective evaluation, and run reporting. The core is model-agnostic. Built-in templates give you shorter, model-specific configuration for supported models.

Current status

What is available today:

• version: general — model-agnostic workflow mode
• version: swat — template for SWAT 2012
• version: xaj — template for XAJ (Xinanjiang)
• readers: text, csv
• writers: fixed_width, csv
• subprocess-based model execution
• built-in and external evaluation functions
• SQLite and CSV run reporting
• UQPyL integration

CLI entry points:

• hydropilot-validate — validate a configuration
• hydropilot-test — run one configuration test
• hydropilot-apply — apply parameters to a project copy
• hydropilot-run — single-run YAML entry point

Public Python API:

• SimModel — main runtime entry point
• BatchRunResult — batch evaluation result
• UQPyLAdapter — bridge to UQPyL optimization

Planned, not yet available:

• APEX
• HBV
• VIC
• HEC-HMS

Installation

Requires Python 3.10+.

pip install hydropilot

For local development:

pip install -e .
pip install -e .[dev]

With UQPyL integration:

pip install -e .[uqpyl]

Quick start

Validate a configuration

hydropilot-validate path/to/config.yaml

Test a configuration

hydropilot-test path/to/config.yaml

Runs one deterministic parameter vector through the full runtime, forces parallel = 1, keeps the runtime project copy, and writes test-report.md under the run archive.

Apply parameters to a project

hydropilot-apply path/to/apply.yaml

Run from a YAML definition

hydropilot-run path/to/run.yaml

Executes one parameter vector described by a run YAML file. It's a single-run entry point — it doesn't manage full experiments.

Evaluate parameter vectors with SimModel

import numpy as np
from hydropilot import SimModel

X = np.array([
    [50.0, 0.5, 100.0],
])

with SimModel("examples/test_monthly.yaml") as model:
    result = model.run(X)
    print(result.objs)

Use with UQPyL

from hydropilot.integrations import UQPyLAdapter

with UQPyLAdapter("examples/test_daily.yaml") as adapter:
    result = adapter.evaluate(X)
    print(result.objs)
    print(result.cons)

Support matrix

Documentation

• Documentation hub — index of all documentation
• Architecture — config chain, runtime chain, and module layout

License

MIT