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The isolated pre-commit mypy hook previously omitted runtime type information that make mypy used, hiding errors involving dependencies such as Pydantic and Pendulum. Makefile, pre-commit and CI now run the same full-project typing policy in the development environment defined by uv.lock. - Use uv run --locked --exact --extra dev and the same mypy arguments for Makefile and the local hook. Check all of src and tests, including on configuration-only changes. - Pin Python 3.13 for local development and the pre-commit CI job, and install the locked pre-commit version in CI. - Disable incremental analysis because existing Pendulum cache state changes mypy 2.3.1 diagnostics. Document the policy, the performance tradeoff and the existing typing debt. - Add a regression test that exercises Makefile, the hook and the CI command in a temporary project, accepting valid dependency types and detecting deliberate Pydantic/Pendulum assignment errors. Resolve the newly detected mypy diagnostics. - Enable the numpydantic and Pydantic mypy plugins, retaining strict Pydantic constructor typing with init_typed = true. Validate raw/coercible payloads through model_validate. - Propagate concrete record, provider and time-window types through generic collections, factories and lookup methods. Preserve runtime field inspection and generated time-window documentation. - Align Pendulum annotations with actual factory/arithmetic results while retaining Pydantic validation adapters at runtime. Correct optional values, array boundaries, REST handlers and plotting interfaces. - Add pinned scipy-stubs and types-psutil, update uv.lock, and supply the plugins' dependencies. - Add runtime regression coverage for validated path defaults, normalized time-series metadata, generic field inspection, invalid timestamps and unsupported provider imports. Runtime and compatibility details: - Validate path defaults as Path objects while retaining raw string defaults needed by migration serialization with exclude_defaults. - Normalize feed-in tariff lists and default charge rates to NumPy arrays; reject missing timestamps/uninitialized values explicitly. Importing into a provider without import support returns HTTP 400. - Public JSON schemas and OpenAPI structure match main (excluding the generated version). Signed-off-by: dr-dimitry Signed-off-by: dr-dimitry Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> Co-authored-by: dr-dimitri <87113560+dr-dimitri@users.noreply.github.com> Co-authored-by: Normann <github@koldrack.com>
6.9 KiB
6.9 KiB
General Optimization Configuration
:::{table} optimization :widths: 10 20 10 5 5 30 :align: left
| Name | Environment Variable | Type | Read-Only | Default | Description |
|---|---|---|---|---|---|
| algorithm | EOS_OPTIMIZATION__ALGORITHM |
<enum 'OptimizationAlgorithm'> |
rw |
required |
Optimization algorithm [GENETIC |
| algorithms | list[str] |
ro |
N/A |
Available optimization algorithms. | |
| genetic | EOS_OPTIMIZATION__GENETIC |
GeneticCommonSettings |
rw |
required |
GENETIC optimization algorithm configuration. |
| genetic0 | EOS_OPTIMIZATION__GENETIC0 |
Genetic0CommonSettings |
rw |
required |
GENETIC0 optimization algorithm configuration. |
| keys | list[str] |
ro |
N/A |
The keys of the solution. | |
| ::: |
Example Input
{
"optimization": {
"algorithm": "GENETIC",
"genetic": {
"interval_sec": 3600,
"horizon_hours": 24,
"individuals": 400,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
}
},
"genetic0": {
"horizon_hours": 24,
"individuals": 400,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
}
}
}
}
Example Output
{
"optimization": {
"algorithm": "GENETIC",
"genetic": {
"interval_sec": 3600,
"horizon_hours": 24,
"individuals": 400,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
},
"horizon": 24
},
"genetic0": {
"horizon_hours": 24,
"individuals": 400,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
},
"interval_sec": 3600,
"horizon": 24
},
"algorithms": [
"GENETIC",
"GENETIC0"
],
"keys": []
}
}
GENETIC0 Optimization Algorithm Configuration
:::{table} optimization::genetic0 :widths: 10 10 5 5 30 :align: left
| Name | Type | Read-Only | Default | Description |
|---|---|---|---|---|
| generations | Optional[int] |
rw |
400 |
Number of generations to evolve [>= 10]. Defaults to 400. |
| horizon | int |
ro |
N/A |
Number of optimization steps. |
| horizon_hours | int |
rw |
24 |
The general time window within which the energy optimization goal shall be achieved [h]. Defaults to 24 hours. |
| individuals | Optional[int] |
rw |
300 |
Number of individuals (solutions) in the population [>= 10]. Defaults to 300. |
| interval_sec | int |
ro |
N/A |
The optimization interval [sec]. Fixed to 1 hour (3600 seconds). |
| penalties | dict[str, Union[float, int, str]] |
rw |
required |
Penalty parameters used in fitness evaluation. |
| seed | Optional[int] |
rw |
None |
Random seed for reproducibility. None = random. |
| ::: |
Example Input
{
"optimization": {
"genetic0": {
"horizon_hours": 24,
"individuals": 300,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
}
}
}
}
Example Output
{
"optimization": {
"genetic0": {
"horizon_hours": 24,
"individuals": 300,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
},
"interval_sec": 3600,
"horizon": 24
}
}
}
GENETIC Optimization Algorithm Configuration
:::{table} optimization::genetic :widths: 10 10 5 5 30 :align: left
| Name | Type | Read-Only | Default | Description |
|---|---|---|---|---|
| generations | Optional[int] |
rw |
400 |
Number of generations to evolve [>= 10]. Defaults to 400. |
| horizon | int |
ro |
N/A |
Number of optimization steps. |
| horizon_hours | int |
rw |
24 |
The general time window within which the energy optimization goal shall be achieved [h]. Defaults to 24 hours. |
| individuals | Optional[int] |
rw |
300 |
Number of individuals (solutions) in the population [>= 10]. Defaults to 300. |
| interval_sec | int |
rw |
3600 |
The optimization interval [sec]. Defaults to 3600 seconds (1 hour) |
| penalties | dict[str, Union[float, int, str]] |
rw |
required |
Penalty parameters used in fitness evaluation. |
| seed | Optional[int] |
rw |
None |
Random seed for reproducibility. None = random. |
| ::: |
Example Input
{
"optimization": {
"genetic": {
"interval_sec": 3600,
"horizon_hours": 24,
"individuals": 300,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
}
}
}
}
Example Output
{
"optimization": {
"genetic": {
"interval_sec": 3600,
"horizon_hours": 24,
"individuals": 300,
"generations": 400,
"seed": null,
"penalties": {
"ev_soc_miss": 10
},
"horizon": 24
}
}
}