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- Period summary and battery stats now render as an icon-led, responsive stat grid (.stat-grid) instead of a flat flex row. - Generation/load/import/export stats get a real inline sparkline from the same daily series already fetched for the bar chart. Self-consumption, solar coverage and net revenue get a direction-aware trend badge against an equal-length prior period (new `offset_days` param on /api/usage/summary shifts the trailing window back for this comparison). - Live flow diagram: static "conduit" wires now stay visible underneath the animated overlay, flow lines redrawn as glowing round-dot particles (was a plain dashed line) whose speed now scales with the actual kW flowing, and each node's ring lights up in that flow's color while active. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> |
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|---|---|---|
| .forgejo/workflows | ||
| app | ||
| scripts | ||
| .env.example | ||
| .gitignore | ||
| docker-compose.yml | ||
| Dockerfile | ||
| pyproject.toml | ||
| README.md | ||
| SETUP.md | ||
Power Compare
Compares your Sungrow solar system's actual usage against every electricity plan the AER publicly lists for your Queensland distributor, so you can see which plan would actually cost you the least given how much you generate, consume, import and export -- no battery/storage assumed.
How it works
- An always-on background scheduler polls your Sungrow iSolarCloud plant every few minutes and stores interval generation/load/import/export data in a local SQLite database, building up history over time.
- It also periodically refreshes a cache of every current QLD electricity plan from the AER's public "Get Generic Plans" / "Get Generic Plan Detail" APIs.
- A costing engine evaluates every cached plan (flat or time-of-use, with supply charge and feed-in tariff credit) against your actual usage history and ranks them by estimated annual cost, compared against your own plan (entered manually in Settings).
- A small web dashboard shows your usage over time and the plan comparison table.
Quick start (no real solar data yet)
The app runs entirely on synthetic mock usage data until you've registered a Sungrow developer app (see SETUP.md) -- useful for seeing how the comparison works today.
python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
cp .env.example .env
# optional: instantly backfill a year of synthetic usage data instead of
# waiting for the scheduler to accumulate it in real time
python scripts/seed_sample_data.py --days 365
uvicorn app.main:app --reload
Then open http://localhost:8000, set your distributor/postcode and current plan under Settings, and check the Plan Comparison page.
Running the tests
pytest
The costing engine and the AER plan mapper are both unit-tested, including
against real plan data fetched from the live AER API (see
app/aer/tests/sample_*.json).
Connecting your real Sungrow system
See SETUP.md for registering a developer app on the iSolarCloud portal and connecting your account.
Running as an always-on service
docker compose up -d
This persists the SQLite database in a named Docker volume and restarts
automatically. See .env.example for configuration.