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* Fix logging configuration issues that made logging stop operation. Switch to Loguru logging (from Python logging). Enable console and file logging with different log levels. Add logging documentation. * Fix logging configuration and EOS configuration out of sync. Added tracking support for nested value updates of Pydantic models. This used to update the logging configuration when the EOS configurationm for logging is changed. Should keep logging config and EOS config in sync as long as all changes to the EOS logging configuration are done by set_nested_value(), which is the case for the REST API. * Fix energy management task looping endlessly after the second update when trying to update the last_update datetime. * Fix get_nested_value() to correctly take values from the dicts in a Pydantic model instance. * Fix usage of model classes instead of model instances in nested value access when evaluation the value type that is associated to each key. * Fix illegal json format in prediction documentation for PVForecastAkkudoktor provider. * Fix documentation qirks and add EOS Connect to integrations. * Support deprecated fields in configuration in documentation generation and EOSdash. * Enhance EOSdash demo to show BrightSky humidity data (that is often missing) * Update documentation reference to German EOS installation videos. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
from typing import Any
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from pydantic.fields import FieldInfo
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from akkudoktoreos.core.pydantic import PydanticBaseModel
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def get_example_or_default(field_name: str, field_info: FieldInfo, example_ix: int) -> Any:
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"""Generate a default value for a field, considering constraints."""
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if field_info.examples is not None:
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try:
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return field_info.examples[example_ix]
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except IndexError:
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return field_info.examples[-1]
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if field_info.default is not None:
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return field_info.default
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raise NotImplementedError(f"No default or example provided '{field_name}': {field_info}")
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def get_model_structure_from_examples(
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model_class: type[PydanticBaseModel], multiple: bool
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) -> list[dict[str, Any]]:
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"""Create a model instance with default or example values, respecting constraints."""
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example_max_length = 1
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# Get first field with examples (non-default) to get example_max_length
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if multiple:
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for _, field_info in model_class.model_fields.items():
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if field_info.examples is not None:
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example_max_length = len(field_info.examples)
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break
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example_data: list[dict[str, Any]] = [{} for _ in range(example_max_length)]
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for field_name, field_info in model_class.model_fields.items():
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if field_info.deprecated:
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continue
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for example_ix in range(example_max_length):
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example_data[example_ix][field_name] = get_example_or_default(
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field_name, field_info, example_ix
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)
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return example_data
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