chore: development version update (incl. home assistant config) (#1456)

This commit is contained in:
Bobby Noelte
2026-10-26 09:09:59 +01:00
committed by GitHub
parent 5ceb21819b
commit 8a8cd43a19
4 changed files with 4 additions and 4 deletions
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@@ -11,7 +11,7 @@ DOCKER_COMPOSE_DATA_DIR=${HOME}/.local/share/net.akkudoktor.eos
# ----------------------------------------------------------------------------- # -----------------------------------------------------------------------------
# Image / build # Image / build
# ----------------------------------------------------------------------------- # -----------------------------------------------------------------------------
VERSION=0.3.0.dev2610201560628681 VERSION=0.3.0.dev2610260646141478
PYTHON_VERSION=3.13.15 PYTHON_VERSION=3.13.15
# ----------------------------------------------------------------------------- # -----------------------------------------------------------------------------
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@@ -6,7 +6,7 @@
# the root directory (no add-on folder as usual). # the root directory (no add-on folder as usual).
name: "Akkudoktor-EOS" name: "Akkudoktor-EOS"
version: "0.3.0.dev2610201560628681" version: "0.3.0.dev2610260646141478"
slug: "eos" slug: "eos"
description: "Akkudoktor-EOS add-on" description: "Akkudoktor-EOS add-on"
url: "https://github.com/Akkudoktor-EOS/EOS" url: "https://github.com/Akkudoktor-EOS/EOS"
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@@ -1,6 +1,6 @@
# Akkudoktor-EOS # Akkudoktor-EOS
**Version**: `v0.3.0.dev2610251221711267` **Version**: `v0.3.0.dev2610260646141478`
<!-- pyml disable line-length --> <!-- 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. **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.
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@@ -8,7 +8,7 @@
"name": "Apache 2.0", "name": "Apache 2.0",
"url": "https://www.apache.org/licenses/LICENSE-2.0.html" "url": "https://www.apache.org/licenses/LICENSE-2.0.html"
}, },
"version": "v0.3.0.dev2610251221711267" "version": "v0.3.0.dev2610260646141478"
}, },
"paths": { "paths": {
"/v1/measurement/battery-capacity/{battery_id}": { "/v1/measurement/battery-capacity/{battery_id}": {