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fix: prevent exception when load prediction data is missing (#925)
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Validate solution prediction data before processing.
If required prediction data is missing, the prediction is skipped
instead of raising an exception.

Introduce a new configuration file saving policy to improve loading robustness:
- Exclude computed fields
- Exclude fields set to their default values
- Exclude fields with value None
- Use field aliases
- Recursively remove empty dictionaries and lists
- Ensure general.version is always present and correctly set

When loading older configuration files, computed fields are now stripped
before migration. This further improves backward compatibility and loading
robustness.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
This commit is contained in:
Bobby Noelte
2026-03-07 14:46:30 +01:00
committed by GitHub
parent 36e2e4c15b
commit 997e7646e9
21 changed files with 1282 additions and 299 deletions
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docs/_generated/openapi.md
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# Akkudoktor-EOS
**Version**: `v0.2.0.dev2602281697121815`
**Version**: `v0.2.0.dev2603032000228213`
<!-- 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.