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.
20 lines
498 B
Desktop File
20 lines
498 B
Desktop File
[Unit]
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Description=Astrape Energy Oracle Forecast Snapshots
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After=network-online.target postgresql.service astrape-sigen.service astrape-db.service
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Wants=network-online.target
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[Service]
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Type=simple
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User=gibil
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Group=gibil
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WorkingDirectory=/mnt/astrape
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Environment=PYTHONUNBUFFERED=1
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Environment=PYTHONDONTWRITEBYTECODE=1
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Environment=ASTRAPE_ORACLE_POLL_SECONDS=300
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ExecStart=/usr/bin/python3 -m gibil.scripts.daemons.oracle_daemon
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Restart=always
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RestartSec=10
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[Install]
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WantedBy=multi-user.target
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