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.

gibil/scripts/debug/debug_weather.py

@@ -0,0 +1,31 @@
+#!/usr/bin/env python3
+"""Debug script to trace resolved truth data."""
+
+from gibil.classes.env_loader import EnvLoader
+from gibil.classes.weather.store import WeatherStore
+from gibil.classes.weather.display import WeatherDisplay
+from datetime import datetime, timezone
+
+EnvLoader().load()
+
+store = WeatherStore.from_env()
+dataset = store.load_display_dataset()
+
+print(f"\n=== DEBUG OUTPUT ===")
+print(f"Forecast points: {len(dataset.forecast_points)}")
+print(f"Resolved truth points: {len(dataset.resolved_truth)}")
+
+print(f"\nResolved truth details:")
+for i, point in enumerate(dataset.resolved_truth):
+    print(f"  [{i}] resolved_at={point.resolved_at}, temp={point.temperature_c}, radiation={point.shortwave_radiation_w_m2}")
+
+print(f"\nAPI payload:")
+display = WeatherDisplay()
+payload = display.data_payload(dataset)
+import json
+data = json.loads(payload)
+print(f"  Resolved truth in payload: {len(data['resolved_truth'])}")
+for i, point in enumerate(data['resolved_truth']):
+    print(f"  [{i}] resolved_at={point['resolved_at']}, temp={point['temperature_c']}")
+
+print(f"\n=== END DEBUG ===\n")