Add API documentation generation and use Markdown (#160)

* Add package API documentation generation

Add generation of the API documentation for akkudoktoreos
and akkudoktoreosserver packages.

The API documentation is generated by the Sphinx autosummary extension.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>

* Enable Google style source commenting and documentation generation.

Enable automatic documentation generation from Google style docstrings in the source.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>

* Check Google style source commenting.

Check Google style commenting by the appropriate ruff rules.

Commenting is _NOT_ enforced. Missing docstrings are ignored.

Minor commenting quirks of the code base are adapted.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>

* Improve Markdown handling and switch to Markdown documentation.

Switch to Markdown for the documentation files to improve the user and developer experience (see issue #181).

Keep files with special directives for automatic API documentation in RST format. The
directives expect RST.

Also add dummy handling for openai/ swagger server documentation. The openai interface definition is
for now taken from the fastapi PR as EOS will switch to fastAPI.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>

---------

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Co-authored-by: Normann <github@koldrack.com>
This commit is contained in:
Bobby Noelte
2024-11-10 23:27:52 +01:00
committed by GitHub
parent ef93574f87
commit 6561793e3b
28 changed files with 1287 additions and 158 deletions

View File

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% SPDX-License-Identifier: Apache-2.0
# About Akkudoktor EOS
The Energy System Simulation and Optimization System (EOS) 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.