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1abdd345c4 fix: unify mypy environments for local checks and CI (#1291)
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>
2026-09-10 23:20:35 +02:00

12 KiB

Electricity Price Prediction Configuration

:::{table} elecfee :widths: 10 20 10 5 5 30 :align: left

Name Environment Variable Type Read-Only Default Description
elecfeefixed EOS_ELECFEE__ELECFEEFIXED ElecFeeFixedCommonSettings rw required Fixed electricity fees provider settings.
elecfeeimport EOS_ELECFEE__ELECFEEIMPORT ElecFeeImportCommonSettings rw required Electricity fees import provider settings.
provider EOS_ELECFEE__PROVIDER Optional[str] rw None Electricity fee provider id of provider to be used.
providers list[str] ro N/A Available electricity fee provider ids.
:::

Example Input

   {
       "elecfee": {
           "provider": "ElecFeeFixed",
           "elecfeefixed": {
               "consumption_amt_kwh": {
                   "windows": []
               },
               "consumption_percent_amt": {
                   "windows": []
               },
               "feedin_amt_kwh": {
                   "windows": []
               },
               "feedin_percent_amt": {
                   "windows": []
               }
           },
           "elecfeeimport": {
               "import_file_path": null,
               "import_json": null
           }
       }
   }

Example Output

   {
       "elecfee": {
           "provider": "ElecFeeFixed",
           "elecfeefixed": {
               "consumption_amt_kwh": {
                   "windows": []
               },
               "consumption_percent_amt": {
                   "windows": []
               },
               "feedin_amt_kwh": {
                   "windows": []
               },
               "feedin_percent_amt": {
                   "windows": []
               }
           },
           "elecfeeimport": {
               "import_file_path": null,
               "import_json": null
           },
           "providers": [
               "ElecFeeFixed",
               "ElecFeeImport"
           ]
       }
   }

Common settings for elecfee data import from file or JSON String

:::{table} elecfee::elecfeeimport :widths: 10 10 5 5 30 :align: left

Name Type Read-Only Default Description
import_file_path Union[str, pathlib.Path, NoneType] rw None Path to the file to import elecfee data from.
import_json Optional[str] rw None JSON string, dictionary of electricity fee forecast value lists.
:::

Example Input/Output

   {
       "elecfee": {
           "elecfeeimport": {
               "import_file_path": null,
               "import_json": "{\"elecfee_consumption_amt_wh\": [0.0003384, 0.0003318, 0.0003284]}"
           }
       }
   }

Value applicable during a specific time window

This model extends TimeWindow by associating a value with the defined time interval.

:::{table} elecfee::elecfeefixed::consumption_amt_kwh::windows::list :widths: 10 10 5 5 30 :align: left

Name Type Read-Only Default Description
date Optional[pydantic_extra_types.pendulum_dt.Date] rw None Optional specific calendar date for the time window. Naive — matched against the local date of the datetime passed to contains(). Overrides day_of_week if set.
day_of_week Union[int, str, NoneType] rw None Optional day of the week restriction. Can be specified as integer (0=Monday to 6=Sunday) or localized weekday name. If None, applies every day unless date is set.
duration Duration rw required Duration of the time window starting from start_time.
locale Optional[str] rw None Locale used to parse weekday names in day_of_week when given as string. If not set, Pendulum's default locale is used. Examples: 'en', 'de', 'fr', etc.
start_time Time rw required Naive start time of the time window (time of day, no timezone). Interpreted in the timezone of the datetime passed to contains() or earliest_start_time().
value Optional[float] rw None Value applicable during this time window.
:::

Example Input/Output

   {
       "elecfee": {
           "elecfeefixed": {
               "consumption_amt_kwh": {
                   "windows": [
                       {
                           "start_time": "00:00:00.000000",
                           "duration": "2 hours",
                           "day_of_week": null,
                           "date": null,
                           "locale": null,
                           "value": 0.288
                       }
                   ]
               }
           }
       }
   }

Sequence of value time windows

This model specializes TimeWindowSequence to ensure that all contained windows are instances of ValueTimeWindow. It provides the full set of sequence operations (containment checks, availability, start time calculations) for value windows.

:::{table} elecfee::elecfeefixed::consumption_amt_kwh :widths: 10 10 5 5 30 :align: left

Name Type Read-Only Default Description
windows list[akkudoktoreos.config.configabc.ValueTimeWindow] rw required Ordered list of value time windows. Each window defines a time interval and an associated value.
:::

Example Input/Output

   {
       "elecfee": {
           "elecfeefixed": {
               "consumption_amt_kwh": {
                   "windows": []
               }
           }
       }
   }

Common settings for fixed electricity fees

This model defines a fixed electricity fee schedule using a sequence of time windows. Each window specifies a time interval and the electricity fee applicable during that interval.

:::{table} elecfee::elecfeefixed :widths: 10 10 5 5 30 :align: left

Name Type Read-Only Default Description
consumption_amt_kwh ValueTimeWindowSequence rw required Sequence of time windows defining the total fixed per-kWh electricty fee charged for consumed energy, accumulating all applicable fixed per-kWh charges (e.g. network charge, metering fee, concession fee) into a single amount [amount/kWh]. If not provided, no fixed per-kWh consumption fee is applied.
consumption_percent_amt ValueTimeWindowSequence rw required Sequence of time windows defining the total fixed electricity surcharge applied as a percentage of the monetary amount already charged for consumed energy, accumulating all applicable percentage-based surcharges (e.g. VAT, electricity tax) into a single percentage [%]. This is a percentage of the fee amount, not a per-kWh rate. If not provided, no percentage-based consumption surcharge is applied.
feedin_amt_kwh ValueTimeWindowSequence rw required Sequence of time windows defining the total deduction from feed-in energy per Wh [amount/Wh]. This is the accumulation of all fixed per-Wh charges deducted from feed-in energy - such as metering fees or grid-operator handling charges - into a single amount. Applied after the percentage-based deduction, i.e. it reduces the price by a flat amount per Wh rather than by a share of the raw price. If not provided, no fixed per-kWh feed-in fee is applied.
feedin_percent_amt ValueTimeWindowSequence rw required Sequence of time windows defining the total percentage deducted from the raw feed-in price (spot price) [%]. This is the accumulation of all percentage-based deductions payable on the feed-in tariff - such as a marketing or balancing fee retained by the aggregator - into a single percentage. It is applied as raw_price * (100 - percent) / 100, i.e. it scales down the raw price rather than adding a surcharge to it. If not provided, no percentage-based feed-in deduction is applied.
:::

Example Input/Output

   {
       "elecfee": {
           "elecfeefixed": {
               "consumption_amt_kwh": {
                   "windows": [
                       {
                           "start_time": "00:00:00.000000",
                           "duration": "8 hours",
                           "day_of_week": null,
                           "date": null,
                           "locale": null,
                           "value": 0.00288
                       },
                       {
                           "start_time": "08:00:00.000000",
                           "duration": "16 hours",
                           "day_of_week": null,
                           "date": null,
                           "locale": null,
                           "value": 0.0034
                       }
                   ]
               },
               "consumption_percent_amt": {
                   "windows": [
                       {
                           "start_time": "00:00:00.000000",
                           "duration": "1 day",
                           "day_of_week": null,
                           "date": null,
                           "locale": null,
                           "value": 19.0
                       }
                   ]
               },
               "feedin_amt_kwh": {
                   "windows": [
                       {
                           "start_time": "00:00:00.000000",
                           "duration": "8 hours",
                           "day_of_week": null,
                           "date": null,
                           "locale": null,
                           "value": 0.00288
                       },
                       {
                           "start_time": "08:00:00.000000",
                           "duration": "16 hours",
                           "day_of_week": null,
                           "date": null,
                           "locale": null,
                           "value": 0.0034
                       }
                   ]
               },
               "feedin_percent_amt": {
                   "windows": [
                       {
                           "start_time": "00:00:00.000000",
                           "duration": "1 day",
                           "day_of_week": null,
                           "date": null,
                           "locale": null,
                           "value": 19.0
                       }
                   ]
               }
           }
       }
   }