feat(eosdash): plan page with EMS plan timeline and persisted settings (#1460)

* feat(eosdash): plan page with EMS plan timeline and persisted settings

Fixes:
- SolutionCard no longer appends to the module-level solution_excludes
  list on every render (the list grew without limit).
- All EOSdash pages: keep the scroll position after htmx actions instead
  of jumping to the bottom; Bokeh() reserves the plot height.
- Default visible PV column pvforecast_power_w -> pvforecast_ac_energy_wh
  (the old column no longer exists).
- All EOSdash pages: remove w-screen from components.Page (horizontal
  scrollbar).
- Solution chart: energy is the main axis; the always empty power axis is
  only shown with power columns. Typo "Electricty" fixed.

Features:
- EMS plan timeline per device, plan table as collapsible section.
- Solution chart rework: KPI row, legend, totals view, value axes for the
  displayed columns only, units menu, currency from the timezone, aligned
  time axes with the timeline, themed tooltips, system font.
- Per-column and per-command settings: visibility, alias, color, style;
  device aliases.
- New config section eosdash.plan (server/dash/dashsettings.py) stores the
  plan page settings in the EOS configuration; docs regenerated.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: SchaafAlexander <86607129+SchaafAlexander@users.noreply.github.com>
This commit is contained in:
SchaafAlexander
2026-10-30 08:03:19 +01:00
committed by GitHub
co-authored by Claude Opus 5.5
parent 7554e2dc47
commit 527c26d424
13 changed files with 2266 additions and 315 deletions
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# Akkudoktor-EOS
**Version**: `v0.3.0.dev2610291327175670`
**Version**: `v0.3.0.dev2610292046449086`
<!-- pyml disable line-length -->
**Description**: This project provides a comprehensive solution for simulating and optimizing an energy system based on renewable energy sources. With a focus on photovoltaic (PV) systems, battery storage (batteries), load management (consumer requirements), heat pumps, electric vehicles, and consideration of electricity price data, this system enables forecasting and optimization of energy flow and costs over a specified period.