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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>
8.7 KiB
8.7 KiB
Configuration for all controllable devices in the simulation
Every device collection is a dict[str, <Settings>] keyed by
device_id. This makes config paths stable regardless of
declaration order and lets each device settings class build its own
config path from self.device_id without needing an external index.
:::{table} devices :widths: 10 20 10 5 5 30 :align: left
| Name | Environment Variable | Type | Read-Only | Default | Description |
|---|---|---|---|---|---|
| batteries | EOS_DEVICES__BATTERIES |
`dict[str, akkudoktoreos.devices.settings.batterysettings.BatteriesCommonSettings] | None` | rw |
None |
| electric_vehicles | EOS_DEVICES__ELECTRIC_VEHICLES |
`dict[str, akkudoktoreos.devices.settings.batterysettings.BatteriesCommonSettings] | None` | rw |
None |
| home_appliances | EOS_DEVICES__HOME_APPLIANCES |
dict[str, akkudoktoreos.devices.settings.homeappliancesettings.HomeApplianceCommonSettings] |
rw |
required |
Shiftable home appliance devices, keyed by device_id. |
| inverters | EOS_DEVICES__INVERTERS |
`dict[str, akkudoktoreos.devices.settings.invertersettings.InverterCommonSettings] | None` | rw |
None |
| max_batteries | EOS_DEVICES__MAX_BATTERIES |
`int | None` | rw |
None |
| max_electric_vehicles | EOS_DEVICES__MAX_ELECTRIC_VEHICLES |
`int | None` | rw |
None |
| max_home_appliances | EOS_DEVICES__MAX_HOME_APPLIANCES |
`int | None` | rw |
None |
| max_inverters | EOS_DEVICES__MAX_INVERTERS |
`int | None` | rw |
None |
| measurement_keys | list[str] |
ro |
N/A |
All measurement keys across all configured devices. | |
| ::: |
Example Input
{
"devices": {
"batteries": {
"bat0": {
"device_id": "bat0",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_amt_kwh": 0.0,
"max_charge_power_w": 5000,
"min_charge_power_w": 50,
"charge_rates": [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0
],
"min_soc_percentage": 0,
"max_soc_percentage": 100
}
},
"max_batteries": 1,
"electric_vehicles": {
"ev0": {
"device_id": "ev0",
"capacity_wh": 60000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_amt_kwh": 0.0,
"max_charge_power_w": 5000,
"min_charge_power_w": 50,
"charge_rates": [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0
],
"min_soc_percentage": 0,
"max_soc_percentage": 100
}
},
"max_electric_vehicles": 1,
"inverters": {},
"max_inverters": 1,
"home_appliances": {
"dishwasher": {
"device_id": "dishwasher",
"consumption_wh": 1500,
"duration_h": 2,
"num_cycles": 1,
"cycle_time_windows": null,
"min_cycle_gap_h": 0,
"cycles_completed_measurement_key": null
}
},
"max_home_appliances": 3
}
}
Example Output
{
"devices": {
"batteries": {
"bat0": {
"device_id": "bat0",
"capacity_wh": 8000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_amt_kwh": 0.0,
"max_charge_power_w": 5000,
"min_charge_power_w": 50,
"charge_rates": [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0
],
"min_soc_percentage": 0,
"max_soc_percentage": 100,
"measurement_key_soc_factor": "bat0-soc-factor",
"measurement_key_power_l1_w": "bat0-power-l1-w",
"measurement_key_power_l2_w": "bat0-power-l2-w",
"measurement_key_power_l3_w": "bat0-power-l3-w",
"measurement_key_power_3_phase_sym_w": "bat0-power-3-phase-sym-w",
"measurement_keys": [
"bat0-soc-factor",
"bat0-power-l1-w",
"bat0-power-l2-w",
"bat0-power-l3-w",
"bat0-power-3-phase-sym-w"
]
}
},
"max_batteries": 1,
"electric_vehicles": {
"ev0": {
"device_id": "ev0",
"capacity_wh": 60000,
"charging_efficiency": 0.88,
"discharging_efficiency": 0.88,
"levelized_cost_of_storage_amt_kwh": 0.0,
"max_charge_power_w": 5000,
"min_charge_power_w": 50,
"charge_rates": [
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0
],
"min_soc_percentage": 0,
"max_soc_percentage": 100,
"measurement_key_soc_factor": "ev0-soc-factor",
"measurement_key_power_l1_w": "ev0-power-l1-w",
"measurement_key_power_l2_w": "ev0-power-l2-w",
"measurement_key_power_l3_w": "ev0-power-l3-w",
"measurement_key_power_3_phase_sym_w": "ev0-power-3-phase-sym-w",
"measurement_keys": [
"ev0-soc-factor",
"ev0-power-l1-w",
"ev0-power-l2-w",
"ev0-power-l3-w",
"ev0-power-3-phase-sym-w"
]
}
},
"max_electric_vehicles": 1,
"inverters": {},
"max_inverters": 1,
"home_appliances": {
"dishwasher": {
"device_id": "dishwasher",
"consumption_wh": 1500,
"duration_h": 2,
"num_cycles": 1,
"cycle_time_windows": null,
"min_cycle_gap_h": 0,
"cycles_completed_measurement_key": null,
"effective_num_cycles": 1,
"measurement_keys": []
}
},
"max_home_appliances": 3,
"measurement_keys": [
"bat0-soc-factor",
"bat0-power-l1-w",
"bat0-power-l2-w",
"bat0-power-l3-w",
"bat0-power-3-phase-sym-w",
"ev0-soc-factor",
"ev0-power-l1-w",
"ev0-power-l2-w",
"ev0-power-l3-w",
"ev0-power-3-phase-sym-w"
]
}
}