chore: improve doc generation and test (#762)
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Improve documentation generation and add tests for documentation.
Extend sphinx by todo directive.

The configuration table is now split into several tables. The test
is adapted accordingly.

There is a new test that checks the docstrings to be compliant to the
RST format as used by sphinx to create the documentation. We can not
use Markdown in docstrings. The docstrings are adapted accordingly.

An additional test checks that the documentation can be build with sphinx.
This test takes very long is only enabled in full run (aka. ci) mode.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
This commit is contained in:
Bobby Noelte
2025-11-13 22:53:46 +01:00
committed by GitHub
parent 8da137f8f1
commit 7bf9dd723e
38 changed files with 3250 additions and 2092 deletions

View File

@@ -70,20 +70,23 @@ class PredictionSequence(DataSequence):
Derived classes have to provide their own records field with correct record type set.
Usage:
# Example of creating, adding, and using PredictionSequence
class DerivedSequence(PredictionSquence):
records: List[DerivedPredictionRecord] = Field(default_factory=list, json_schema_extra={ "description": "List of prediction records" })
.. code-block:: python
seq = DerivedSequence()
seq.insert(DerivedPredictionRecord(date_time=datetime.now(), temperature=72))
seq.insert(DerivedPredictionRecord(date_time=datetime.now(), temperature=75))
# Example of creating, adding, and using PredictionSequence
class DerivedSequence(PredictionSquence):
records: List[DerivedPredictionRecord] = Field(default_factory=list, json_schema_extra={ "description": "List of prediction records" })
# Convert to JSON and back
json_data = seq.to_json()
new_seq = DerivedSequence.from_json(json_data)
seq = DerivedSequence()
seq.insert(DerivedPredictionRecord(date_time=datetime.now(), temperature=72))
seq.insert(DerivedPredictionRecord(date_time=datetime.now(), temperature=75))
# Convert to JSON and back
json_data = seq.to_json()
new_seq = DerivedSequence.from_json(json_data)
# Convert to Pandas Series
series = seq.key_to_series('temperature')
# Convert to Pandas Series
series = seq.key_to_series('temperature')
"""
# To be overloaded by derived classes.
@@ -224,9 +227,10 @@ class PredictionImportProvider(PredictionProvider, DataImportProvider):
"""Abstract base class for prediction providers that import prediction data.
This class is designed to handle prediction data provided in the form of a key-value dictionary.
- **Keys**: Represent identifiers from the record keys of a specific prediction.
- **Values**: Are lists of prediction values starting at a specified `start_datetime`, where
each value corresponds to a subsequent time interval (e.g., hourly).
each value corresponds to a subsequent time interval (e.g., hourly).
Subclasses must implement the logic for managing prediction data based on the imported records.
"""