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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>
77 lines
2.8 KiB
Markdown
77 lines
2.8 KiB
Markdown
## General Optimization Configuration
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<!-- pyml disable line-length -->
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:::{table} optimization
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:widths: 10 20 10 5 5 30
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:align: left
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| Name | Environment Variable | Type | Read-Only | Default | Description |
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| ---- | -------------------- | ---- | --------- | ------- | ----------- |
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| algorithm | `EOS_OPTIMIZATION__ALGORITHM` | `Optional[str]` | `rw` | `GENETIC` | The optimization algorithm. |
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| genetic | `EOS_OPTIMIZATION__GENETIC` | `Optional[akkudoktoreos.optimization.optimization.GeneticCommonSettings]` | `rw` | `None` | Genetic optimization algorithm configuration. |
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| horizon_hours | `EOS_OPTIMIZATION__HORIZON_HOURS` | `Optional[int]` | `rw` | `24` | The general time window within which the energy optimization goal shall be achieved [h]. Defaults to 24 hours. |
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| interval | `EOS_OPTIMIZATION__INTERVAL` | `Optional[int]` | `rw` | `3600` | The optimization interval [sec]. |
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:::
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**Example Input/Output**
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```json
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{
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"optimization": {
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"horizon_hours": 24,
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"interval": 3600,
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"algorithm": "GENETIC",
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"genetic": {
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"individuals": 400,
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"generations": 400,
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"seed": null,
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"penalties": {
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"ev_soc_miss": 10
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}
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}
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}
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}
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```
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### General Genetic Optimization Algorithm Configuration
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:::{table} optimization::genetic
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:widths: 10 10 5 5 30
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:align: left
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| Name | Type | Read-Only | Default | Description |
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| ---- | ---- | --------- | ------- | ----------- |
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| generations | `Optional[int]` | `rw` | `400` | Number of generations to evaluate the optimal solution [>= 10]. Defaults to 400. |
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| individuals | `Optional[int]` | `rw` | `300` | Number of individuals (solutions) to generate for the (initial) generation [>= 10]. Defaults to 300. |
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| penalties | `Optional[dict[str, Union[float, int, str]]]` | `rw` | `None` | A dictionary of penalty function parameters consisting of a penalty function parameter name and the associated value. |
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| seed | `Optional[int]` | `rw` | `None` | Fixed seed for genetic algorithm. Defaults to 'None' which means random seed. |
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:::
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**Example Input/Output**
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<!-- pyml enable no-emphasis-as-heading -->
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```json
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{
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"optimization": {
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"genetic": {
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"individuals": 300,
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"generations": 400,
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"seed": null,
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"penalties": {
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"ev_soc_miss": 10
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}
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}
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}
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}
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```
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