Add new daemons and debug scripts for Sigenergy and Oracle functionalities

- 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.
2026-04-28 08:14:00 +02:00
parent ff0c65a794
commit c8e3016fd6
55 changed files with 6385 additions and 633 deletions
@@ -0,0 +1,54 @@
+from __future__ import annotations
+
+from gibil.classes.models import NetPowerForecastPoint, NetPowerForecastRun, PowerForecastRun
+
+
+class NetPowerForecaster:
+    """Combines production and usage curves into expected and interval net power."""
+
+    def combine(
+        self,
+        solar_run: PowerForecastRun,
+        load_run: PowerForecastRun,
+    ) -> NetPowerForecastRun:
+        load_by_target = {point.target_at: point for point in load_run.points}
+        points: list[NetPowerForecastPoint] = []
+
+        for solar_point in solar_run.points:
+            load_point = load_by_target.get(solar_point.target_at)
+            if load_point is None:
+                continue
+
+            points.append(
+                NetPowerForecastPoint(
+                    target_at=solar_point.target_at,
+                    horizon_minutes=solar_point.horizon_minutes,
+                    expected_net_power_w=(
+                        solar_point.p50_power_w - load_point.p50_power_w
+                    ),
+                    safe_net_power_w=(
+                        solar_point.p10_power_w - load_point.p90_power_w
+                    ),
+                    p10_net_power_w=(
+                        solar_point.p10_power_w - load_point.p90_power_w
+                    ),
+                    p50_net_power_w=(
+                        solar_point.p50_power_w - load_point.p50_power_w
+                    ),
+                    p90_net_power_w=(
+                        solar_point.p90_power_w - load_point.p10_power_w
+                    ),
+                    solar_p50_power_w=solar_point.p50_power_w,
+                    load_p50_power_w=load_point.p50_power_w,
+                    solar_p10_power_w=solar_point.p10_power_w,
+                    solar_p90_power_w=solar_point.p90_power_w,
+                    load_p10_power_w=load_point.p10_power_w,
+                    load_p90_power_w=load_point.p90_power_w,
+                )
+            )
+
+        return NetPowerForecastRun(
+            issued_at=solar_run.issued_at,
+            source="baseline_net_forecaster",
+            points=points,
+        )