rpotter6298
c8e3016fd6
- Implement `sigen_daemon.py` to poll Sigenergy plant metrics and store snapshots. - Create `web_daemon.py` for serving a web interface with various endpoints. - Add debug scripts: - `debug_duplicates.py` to find duplicate target times in forecast data. - `debug_energy_forecast.py` to print baseline energy forecast curves. - `debug_oracle_evaluations.py` to run the oracle evaluator. - `debug_sigen.py` to inspect stored Sigenergy plant snapshots. - `debug_weather.py` to trace resolved truth data. - `modbus_test.py` for exploring Sigenergy plants or inverters over Modbus TCP. - Introduce `oracle_evaluator.py` for evaluating stored oracle predictions against actuals. - Add TCN training scripts in `tcn` directory for training usage sequence models.
68 lines
2.1 KiB
Python
68 lines
2.1 KiB
Python
#!/usr/bin/env python3
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"""Debug baseline energy forecast curves."""
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from __future__ import annotations
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import argparse
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from datetime import timezone
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from gibil.classes.oracle.builder import EnergyForecastBuilder
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from gibil.classes.env_loader import EnvLoader
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from gibil.classes.models import PowerForecastPoint
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def main() -> None:
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EnvLoader().load()
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args = parse_args()
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solar_run, load_run, net_run = EnergyForecastBuilder.from_env().build()
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print(
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f"issued_at={net_run.issued_at.astimezone(timezone.utc).isoformat(timespec='seconds')}"
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)
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print(
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f"solar_model={solar_run.model_version} "
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f"load_model={load_run.model_version} points={len(net_run.points)}"
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)
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print(
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"target_at solar_p10 solar_p50 solar_p90 "
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"load_p10 load_p50 load_p90 net_p10 net_p50 net_p90"
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)
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solar_by_target = _by_target(solar_run.points)
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load_by_target = _by_target(load_run.points)
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for point in net_run.points[: args.limit]:
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solar_point = solar_by_target[point.target_at]
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load_point = load_by_target[point.target_at]
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print(
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f"{point.target_at.astimezone(timezone.utc).isoformat(timespec='minutes'):25} "
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f"{solar_point.p10_power_w:9.0f} "
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f"{solar_point.p50_power_w:9.0f} "
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f"{solar_point.p90_power_w:9.0f} "
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f"{load_point.p10_power_w:8.0f} "
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f"{load_point.p50_power_w:8.0f} "
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f"{load_point.p90_power_w:8.0f} "
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f"{point.p10_net_power_w:7.0f} "
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f"{point.p50_net_power_w:7.0f} "
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f"{point.p90_net_power_w:7.0f}"
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)
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def _by_target(points: list[PowerForecastPoint]) -> dict[object, PowerForecastPoint]:
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return {point.target_at: point for point in points}
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def parse_args() -> argparse.Namespace:
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parser = argparse.ArgumentParser(
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description="Print baseline solar/load/net forecast curves."
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)
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parser.add_argument(
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"--limit",
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type=int,
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default=24,
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help="Number of forecast points to show. Defaults to 24.",
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)
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return parser.parse_args()
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if __name__ == "__main__":
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main()
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