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.
112 lines
2.7 KiB
Markdown
112 lines
2.7 KiB
Markdown
# Operations
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## Web UI
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Start the web UI daemon:
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```bash
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python3 -m gibil.scripts.daemons.web_daemon
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```
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The daemon listens on:
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```text
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http://0.0.0.0:8080
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```
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By default the server binds to all network interfaces so it can be reached from another machine. Override the bind address or port if needed:
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```bash
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export ASTRAPE_WEB_HOST='0.0.0.0'
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export ASTRAPE_WEB_PORT='8080'
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```
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The host process reloads `webui.py` and display modules on each request. The browser polls `/api/ui-version` and refreshes when those files change.
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## Systemd Services
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Install service units:
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```bash
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sudo cp deploy/systemd/astrape-web.service /etc/systemd/system/
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sudo cp deploy/systemd/astrape-db.service /etc/systemd/system/
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sudo cp deploy/systemd/astrape-sigen.service /etc/systemd/system/
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sudo cp deploy/systemd/astrape-oracle.service /etc/systemd/system/
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sudo systemctl daemon-reload
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sudo systemctl enable --now astrape-web.service astrape-db.service astrape-sigen.service astrape-oracle.service
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```
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Check status:
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```bash
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systemctl status astrape-web.service
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systemctl status astrape-db.service
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systemctl status astrape-sigen.service
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systemctl status astrape-oracle.service
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journalctl -u astrape-web.service -f
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journalctl -u astrape-db.service -f
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journalctl -u astrape-sigen.service -f
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journalctl -u astrape-oracle.service -f
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```
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Both services run as the IPA-managed `gibil` user from `/mnt/astrape`.
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## Database Daemon
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Install runtime dependencies:
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```bash
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python3 -m pip install -r requirements.txt
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```
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Create a local env file:
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```bash
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cp env/astrape.env.example env/astrape.env
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nano env/astrape.env
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```
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Required values:
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```text
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ASTRAPE_DATABASE_URL=postgresql://USER:PASSWORD@HOST:PORT/DBNAME
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ASTRAPE_LATITUDE=59.0000
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ASTRAPE_LONGITUDE=18.0000
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```
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Optional values:
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```text
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ASTRAPE_WEATHER_FORECAST_HOURS=48
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ASTRAPE_WEATHER_POLL_SECONDS=3600
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ASTRAPE_WEATHER_TRUTH_LOOKBACK_DAYS=14
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ASTRAPE_WEATHER_TRUTH_END_DELAY_DAYS=5
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```
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The daemons load `env/*.env` automatically. Existing process environment variables win over file values.
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For temporary frontend tuning, enable display-only sample weather data:
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```text
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ASTRAPE_WEB_SAMPLE_DATA=1
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```
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This does not write artificial data to TimescaleDB. It only changes the web UI weather API response.
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Start the database ingest daemon:
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```bash
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python3 -m gibil.scripts.daemons.db_daemon
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```
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Current behavior:
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- initializes TimescaleDB weather tables
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- fetches real Open-Meteo hourly forecasts
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- normalizes them through `WeatherBuilder`
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- stores rows in `weather_forecast_points`
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- fetches Open-Meteo archive data for resolved truth
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- stores rows in `weather_resolved_truth`
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- repeats every `ASTRAPE_WEATHER_POLL_SECONDS`
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No internal weather predictions are generated here. This daemon only stores external forecast and resolved-truth data for later modules.
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