Dutch Bay Financial Model (V11)

Overview

This repository contains the code, test suite, and configuration for the Dutch Bay 150MW Wind Farm financial model. The model supports robust IRR/NPV calculations via multiple solver methods, production-level static analysis, and a comprehensive Python test battery.

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Quickstart

Requirements

• Python 3.8+
• numpy
• pandas
• scipy
• pytest (for testing)
• hypothesis (for property-based testing)
• pytest-cov (for code coverage)
• flake8, pylint (for code quality)
• mypy (for type checking, see notes below)

Project Structure

• /scripts/dutchbay_finmodel_enhanced.py — Main model code (with type hints)
• /tests/test_dutchbay_model.py — Test suite using pytest/hypothesis
• /outputs/irr_validation_cashflows.csv, /outputs/dutchbay_full_model.csv — Example cash flow exports
• /.pylintrc, /.flake8 — Lint/static analysis config

Running the Model

You can run the main script for scenario analysis (see code comments for further options).

Running Tests

From the project root, run:

pip install pytest hypothesis pytest-cov numpy pandas scipy flake8 pylint mypy
pytest tests/test_dutchbay_model.py -v --cov=scripts/dutchbay_finmodel_enhanced

You can also generate an HTML coverage report:

pytest --cov=scripts/dutchbay_finmodel_enhanced --cov-report=html

Static Analysis

• Run flake8 . for PEP8/static code warnings
• Run pylint scripts/dutchbay_finmodel_enhanced.py for comprehensive linting

Type Checking

Type checking is available if type hints are added to the scripts (see next steps).

mypy scripts/dutchbay_finmodel_enhanced.py

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Recommendations and Next Steps

• Add more type hints to functions for improved mypy results
• Add CI integration (pre-commit, Github Actions) for push/build hooks
• Expand property-based and integration testing
• Review the code with a third-party auditor for final investment sign-off

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Contact

For technical support or to report issues, contact the project sponsor or lead analyst.