Mannu
314127effc
- Pydantic schemas: SolarConfig, WindConfig, BessConfig, GenerationResult - Catalog: synthetic 8760h profiles for RJ/KA/GJ solar and wind; LRU-cached loader - generation/solar.py: 25yr hourly simulation (DC losses, inverter, clipping, soiling, degradation) - generation/wind.py: power-law shear, piecewise power curve, wake/electrical losses, degradation - generation/bess_state.py: SOH-based capacity degradation with augmentation schedule - CLI: remodel --input scenario.json --output gen.parquet (Typer upgraded to 0.25.1 for Click 8.3 compat) - 43 unit tests, 97.4% coverage; mypy strict + ruff clean - S1-T10 parity gate: placeholder fixture + skipped integration tests (awaiting Nagasamudra data) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
57 lines
2.2 KiB
Python
57 lines
2.2 KiB
Python
"""S1-T10: Excel parity gate for the Nagasamudra reference scenario.
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HOW TO UNLOCK THIS TEST
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───────────────────────
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1. Open tests/fixtures/nagasamudra_inputs.json.
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2. Replace the solar/wind config values with the actual project inputs.
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3. Fill in _expected.solar_y1_mwh and _expected.wind_y1_mwh from the Excel model.
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4. Remove the `pytest.skip` call below.
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The test will then verify that year-1 generation matches Excel within 0.1 %
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(the sprint parity gate from PROJECT.md).
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"""
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import json
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from pathlib import Path
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import pytest
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FIXTURE = Path(__file__).parent.parent / "fixtures" / "nagasamudra_inputs.json"
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@pytest.mark.skip(reason="Parity gate: awaiting real Nagasamudra data from user (S1-T10)")
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def test_nagasamudra_solar_y1_parity() -> None:
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raw = json.loads(FIXTURE.read_text())
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expected_mwh = raw["_expected"]["solar_y1_mwh"]
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assert expected_mwh is not None, "Fill _expected.solar_y1_mwh in fixture"
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from remodel_engine.generation.solar import simulate_solar
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from remodel_engine.schemas.generation import SolarConfig
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cfg = SolarConfig(**raw["solar"])
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df = simulate_solar(cfg)
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actual_mwh = float(df[df["year"] == 1]["ac_power_mw"].sum())
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rel_error = abs(actual_mwh - expected_mwh) / expected_mwh
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assert rel_error <= 0.001, (
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f"Solar Y1 parity FAIL: engine={actual_mwh:.1f} MWh, "
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f"Excel={expected_mwh:.1f} MWh, error={rel_error:.4%}"
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)
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@pytest.mark.skip(reason="Parity gate: awaiting real Nagasamudra data from user (S1-T10)")
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def test_nagasamudra_wind_y1_parity() -> None:
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raw = json.loads(FIXTURE.read_text())
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expected_mwh = raw["_expected"]["wind_y1_mwh"]
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assert expected_mwh is not None, "Fill _expected.wind_y1_mwh in fixture"
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from remodel_engine.generation.wind import simulate_wind
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from remodel_engine.schemas.generation import WindConfig
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cfg = WindConfig(**raw["wind"])
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df = simulate_wind(cfg)
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actual_mwh = float(df[df["year"] == 1]["ac_power_mw"].sum())
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rel_error = abs(actual_mwh - expected_mwh) / expected_mwh
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assert rel_error <= 0.001, (
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f"Wind Y1 parity FAIL: engine={actual_mwh:.1f} MWh, "
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f"Excel={expected_mwh:.1f} MWh, error={rel_error:.4%}"
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)
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