perf: import heavy optional dependencies on first use (#1377)

A GENETIC server with external (import) providers and EOSdash disabled
loads several large packages at start that it never uses, which costs
a noticeable part of the memory on 512 MB boards:

- matplotlib via the GENETIC/GENETIC0 PDF report modules (server/eos.py)
- statsmodels via the Holt-Winters fallback in prediction/priceabc.py
- pvlib via the weather base class and the pvlib-based providers
- bs4/lxml via the ClearOutside provider
- scipy via the self-consumption interpolator singletons, which were
  loaded at import time
- the GENETIC0 optimizer, imported by core/ems.py
- tzfpy, whose polygon data the computed general.timezone loads

Import these where they are used. The interpolator tables are loaded
on first use (thread-safe). Nothing changes in what is computed.

general.timezone is computed from latitude/longitude and cannot be set.
Add general.timezone_override (IANA name, validated with pendulum):
when set, general.timezone returns it and the lookup is skipped. When
unset (default) the lookup is unchanged.

Tests that patched the moved names now patch them at their source.
A new test starts the server module in a subprocess and checks that
none of these modules is loaded.

Co-authored-by: Christin <christin@BigBrother.bikini.bottom.zone>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

CHANGELOG.md

@@ -38,6 +38,8 @@ compatibility changes and a short test procedure. These changes are not yet a ta
   and coverage information. A capacity estimate does not overwrite configured capacity.
 - Optional local, calibratable forecasting within `PVForecastAkkudoktor`; the remote
   backend remains the default.
+- Optional `general.timezone_override`: an IANA timezone name used as `general.timezone`
+  instead of the lookup from latitude/longitude. Unset (default), the lookup is unchanged.
 - New PV forecast providers giving operators more cloud forecast sources to choose from in
   addition to Akkudoktor, VRM and Import:
   - `PVForecastPVNode` — native 15-minute forecasts from the pvnode.com API.
@@ -60,6 +62,9 @@ compatibility changes and a short test procedure. These changes are not yet a ta
   values. Runtime forecast energy is Wh per slot and prices are currency per Wh.
 - Runtime configuration changes now take priority over environment and file values for
   explicitly updated keys; command-line settings retain higher priority.
+- Lower idle memory: matplotlib (PDF reports), statsmodels (price fallback forecast), pvlib,
+  bs4/lxml, scipy (self-consumption table), the GENETIC0 optimizer and the timezone lookup
+  data are imported on first use instead of at server start. Results are unchanged.
 
 ### Fixed
 

docs/_generated/configexample.md

@@ -210,7 +210,8 @@
            "data_folder_path": "/home/user/.local/share/net.akkudoktoreos.net",
            "data_output_subpath": "output",
            "latitude": 52.52,
-           "longitude": 13.405
+           "longitude": 13.405,
+           "timezone_override": null
        },
        "load": {
            "provider": "LoadAkkudoktor",

docs/_generated/configgeneral.md

@@ -17,7 +17,8 @@
 | home_assistant_addon | `EOS_GENERAL__HOME_ASSISTANT_ADDON` | `bool` | `rw` | `required` | EOS is running as home assistant add-on. |
 | latitude | `EOS_GENERAL__LATITUDE` | `Optional[float]` | `rw` | `52.52` | Latitude in decimal degrees between -90 and 90. North is positive (ISO 19115) (°) |
 | longitude | `EOS_GENERAL__LONGITUDE` | `Optional[float]` | `rw` | `13.405` | Longitude in decimal degrees within -180 to 180 (°) |
-| timezone | | `Optional[str]` | `ro` | `N/A` | Computed timezone based on latitude and longitude. |
+| timezone | | `Optional[str]` | `ro` | `N/A` | Timezone: 'timezone_override' if set, else looked up from latitude and longitude. |
+| timezone_override | `EOS_GENERAL__TIMEZONE_OVERRIDE` | `Optional[str]` | `rw` | `None` | IANA timezone name, e.g. 'Europe/Berlin'. If set, 'timezone' is this value instead of the timezone looked up from latitude and longitude, and the lookup data (~25 MB) is never loaded. Defaults to None (look up). |
 | version | `EOS_GENERAL__VERSION` | `Optional[str]` | `rw` | `None` | Configuration file version. |
 :::
 <!-- pyml enable line-length -->
@@ -36,7 +37,8 @@
            "data_folder_path": "/home/user/.local/share/net.akkudoktoreos.net",
            "data_output_subpath": "output",
            "latitude": 52.52,
-           "longitude": 13.405
+           "longitude": 13.405,
+           "timezone_override": null
        }
    }
 ```
@@ -57,6 +59,7 @@
            "data_output_subpath": "output",
            "latitude": 52.52,
            "longitude": 13.405,
+           "timezone_override": null,
            "timezone": "Europe/Berlin",
            "data_output_path": "/home/user/.local/share/net.akkudoktoreos.net/output",
            "config_folder_path": "/home/user/.config/net.akkudoktoreos.net",

openapi.json

@@ -6737,6 +6737,22 @@
             "title": "Longitude",
             "description": "Longitude in decimal degrees within -180 to 180 (\u00b0)",
             "default": 13.405
+          },
+          "timezone_override": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Timezone Override",
+            "description": "IANA timezone name, e.g. 'Europe/Berlin'. If set, 'timezone' is this value instead of the timezone looked up from latitude and longitude, and the lookup data (~25 MB) is never loaded. Defaults to None (look up).",
+            "examples": [
+              null,
+              "Europe/Berlin"
+            ]
           }
         },
         "type": "object",
@@ -6829,6 +6845,22 @@
             "description": "Longitude in decimal degrees within -180 to 180 (\u00b0)",
             "default": 13.405
           },
+          "timezone_override": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "title": "Timezone Override",
+            "description": "IANA timezone name, e.g. 'Europe/Berlin'. If set, 'timezone' is this value instead of the timezone looked up from latitude and longitude, and the lookup data (~25 MB) is never loaded. Defaults to None (look up).",
+            "examples": [
+              null,
+              "Europe/Berlin"
+            ]
+          },
           "timezone": {
             "anyOf": [
               {
@@ -6839,7 +6871,7 @@
               }
             ],
             "title": "Timezone",
-            "description": "Computed timezone based on latitude and longitude.",
+            "description": "Timezone: 'timezone_override' if set, else looked up from latitude and longitude.",
             "readOnly": true
           },
           "data_output_path": {

src/akkudoktoreos/config/config.py

@@ -17,6 +17,7 @@ from copy import deepcopy
 from pathlib import Path
 from typing import Any, Callable, ClassVar, Optional, Type, Union
 
+import pendulum
 import pydantic_settings
 from loguru import logger
 from platformdirs import user_config_dir, user_data_dir
@@ -53,7 +54,11 @@ from akkudoktoreos.prediction.pvforecast import PVForecastCommonSettings
 from akkudoktoreos.prediction.weather import WeatherCommonSettings
 from akkudoktoreos.server.rest.cli import cli_argument_parser
 from akkudoktoreos.server.server import ServerCommonSettings
-from akkudoktoreos.utils.datetimeutil import to_datetime, to_timezone
+from akkudoktoreos.utils.datetimeutil import (
+    _canonicalize_tz_name,
+    to_datetime,
+    to_timezone,
+)
 from akkudoktoreos.utils.utils import UtilsCommonSettings
 
 
@@ -189,11 +194,37 @@ class GeneralSettings(SettingsBaseModel):
         json_schema_extra={"description": "Longitude in decimal degrees within -180 to 180 (°)"},
     )
 
+    timezone_override: Optional[str] = Field(
+        default=None,
+        json_schema_extra={
+            "description": (
+                "IANA timezone name, e.g. 'Europe/Berlin'. If set, 'timezone' is this "
+                "value instead of the timezone looked up from latitude and longitude, "
+                "and the lookup data (~25 MB) is never loaded. Defaults to None (look up)."
+            ),
+            "examples": [None, "Europe/Berlin"],
+        },
+    )
+
+    @field_validator("timezone_override", mode="after")
+    @classmethod
+    def validate_timezone_override(cls, value: Optional[str]) -> Optional[str]:
+        """Ensure the timezone override is a known IANA timezone name."""
+        if value is None:
+            return None
+        try:
+            name = pendulum.timezone(value).name
+        except Exception as e:
+            raise ValueError(f"Unknown timezone '{value}'.") from e
+        return _canonicalize_tz_name(name)
+
     # Computed fields
     @computed_field  # type: ignore[prop-decorator]
     @property
     def timezone(self) -> Optional[str]:
-        """Computed timezone based on latitude and longitude."""
+        """Timezone: 'timezone_override' if set, else looked up from latitude and longitude."""
+        if self.timezone_override is not None:
+            return self.timezone_override
         if self.latitude and self.longitude:
             return to_timezone(location=(self.latitude, self.longitude), as_string=True)
         return None

src/akkudoktoreos/core/ems.py

@@ -17,7 +17,6 @@ from akkudoktoreos.core.coreabc import (
 from akkudoktoreos.core.emplan import EnergyManagementPlan
 from akkudoktoreos.core.emsettings import EnergyManagementMode
 from akkudoktoreos.core.pydantic import PydanticBaseModel
-from akkudoktoreos.optimization.genetic0.genetic0 import Genetic0Optimization
 from akkudoktoreos.optimization.genetic0.genetic0params import (
     Genetic0OptimizationParameters,
 )
@@ -428,6 +427,12 @@ class EnergyManagement(
 
                 # --- Optimization (CPU-bound → MUST offload) ---
                 try:
+                    # Imported on first use: a server that runs GENETIC never needs
+                    # the GENETIC0 optimizer and its simulation.
+                    from akkudoktoreos.optimization.genetic0.genetic0 import (
+                        Genetic0Optimization,
+                    )
+
                     genetic0_optimization = Genetic0Optimization(
                         verbose=bool(self.config.server.verbose),
                         fixed_seed=genetic0_seed,

src/akkudoktoreos/optimization/genetic0/genetic0loadinterpolator.py

@@ -1,9 +1,14 @@
 #!/usr/bin/env python
 import pickle
+import threading
 from pathlib import Path
+from typing import TYPE_CHECKING, Optional
 
 import numpy as np
-from scipy.interpolate import RegularGridInterpolator
+
+if TYPE_CHECKING:
+    # Unpickling the table imports scipy when it is first loaded.
+    from scipy.interpolate import RegularGridInterpolator
 
 from akkudoktoreos.core.cache import cache_energy_management
 from akkudoktoreos.core.coreabc import SingletonMixin
@@ -92,9 +97,15 @@ class Genetic0LoadInterpolator(SelfConsumptionProbabilityInterpolator, Singleton
         super().__init__(filename)
 
 
-# Initialize the Energy Management System, it is a singleton.
+# Created on first use: loading the table imports scipy.
-genetic0_load_interpolator = Genetic0LoadInterpolator()
+_genetic0_load_interpolator: Optional[Genetic0LoadInterpolator] = None
+_genetic0_load_interpolator_lock = threading.Lock()
 
 
 def get_genetic0_load_interpolator() -> Genetic0LoadInterpolator:
-    return genetic0_load_interpolator
+    global _genetic0_load_interpolator
+    if _genetic0_load_interpolator is None:
+        with _genetic0_load_interpolator_lock:
+            if _genetic0_load_interpolator is None:
+                _genetic0_load_interpolator = Genetic0LoadInterpolator()
+    return _genetic0_load_interpolator

src/akkudoktoreos/prediction/interpolator.py

@@ -1,9 +1,14 @@
 #!/usr/bin/env python
 import pickle
+import threading
 from pathlib import Path
+from typing import TYPE_CHECKING, Optional
 
 import numpy as np
-from scipy.interpolate import RegularGridInterpolator
+
+if TYPE_CHECKING:
+    # Unpickling the table imports scipy when it is first loaded.
+    from scipy.interpolate import RegularGridInterpolator
 
 from akkudoktoreos.core.cache import cache_energy_management
 from akkudoktoreos.core.coreabc import SingletonMixin
@@ -170,9 +175,15 @@ class EOSLoadInterpolator(SelfConsumptionProbabilityInterpolator, SingletonMixin
         super().__init__(filename)
 
 
-# Initialize the Energy Management System, it is a singleton.
+# Created on first use: loading the table imports scipy.
-eos_load_interpolator = EOSLoadInterpolator()
+_eos_load_interpolator: Optional[EOSLoadInterpolator] = None
+_eos_load_interpolator_lock = threading.Lock()
 
 
 def get_eos_load_interpolator() -> EOSLoadInterpolator:
-    return eos_load_interpolator
+    global _eos_load_interpolator
+    if _eos_load_interpolator is None:
+        with _eos_load_interpolator_lock:
+            if _eos_load_interpolator is None:
+                _eos_load_interpolator = EOSLoadInterpolator()
+    return _eos_load_interpolator

src/akkudoktoreos/prediction/priceabc.py

@@ -6,7 +6,6 @@ from typing import Generic, cast
 import numpy as np
 import pandas as pd
 from loguru import logger
-from statsmodels.tsa.holtwinters import ExponentialSmoothing
 
 from akkudoktoreos.core.coreabc import PredictionMixin
 from akkudoktoreos.core.dataabc import DataRecordT
@@ -114,6 +113,9 @@ class PricePredictionProviderBase(
                 f"{seasonal_periods}: got {len(history)}, "
                 f"need at least {required_observations}"
             )
+        # statsmodels is only needed for this fallback forecast; import it on use.
+        from statsmodels.tsa.holtwinters import ExponentialSmoothing
+
         clean_history = self._cap_outliers(history)
         model = ExponentialSmoothing(
             clean_history, seasonal="add", seasonal_periods=seasonal_periods

src/akkudoktoreos/prediction/pvforecastakkudoktorlocal.py

@@ -38,7 +38,6 @@ from typing import Any, Literal, Optional, Self
 import numpy as np
 import pandas as pd
 import pendulum
-import pvlib
 import requests
 from loguru import logger
 from pydantic import Field, field_validator, model_validator
@@ -525,6 +524,8 @@ class PVForecastAkkudoktorLocal(PVForecastProvider[PVForecastDataRecordT]):
     @staticmethod
     def _tracked_orientation(plane: Any, solpos: pd.DataFrame) -> tuple[Any, Any]:
         """Return (surface_tilt, surface_azimuth) honouring the plane's tracking type."""
+        import pvlib
+
         tilt = float(plane.surface_tilt if plane.surface_tilt is not None else 30.0)
         azimuth = float(plane.surface_azimuth if plane.surface_azimuth is not None else 180.0)
         tracking = plane.trackingtype
@@ -575,6 +576,8 @@ class PVForecastAkkudoktorLocal(PVForecastProvider[PVForecastDataRecordT]):
         airmass: pd.Series,
     ) -> tuple[pd.Series, pd.Series]:
         """Run the pvlib chain for one plane, returning (dc_power_w, ac_power_w)."""
+        import pvlib
+
         settings = self._settings
 
         peakpower_kw = plane.peakpower
@@ -673,6 +676,8 @@ class PVForecastAkkudoktorLocal(PVForecastProvider[PVForecastDataRecordT]):
                 fittable. Pass False to obtain the raw model output, which is what the
                 fit itself compares against.
         """
+        import pvlib
+
         settings = self._settings
         weather = self._weather_frame(data)
         if weather.empty:

src/akkudoktoreos/prediction/pvforecastpvlib.py

@@ -8,11 +8,6 @@ from typing import ClassVar, Literal, Optional, Union
 import numpy as np
 import pandas as pd
 from loguru import logger
-from pvlib.location import Location
-from pvlib.modelchain import ModelChain
-from pvlib.pvsystem import PVSystem, retrieve_sam
-from pvlib.solarposition import get_solarposition
-from pvlib.temperature import TEMPERATURE_MODEL_PARAMETERS
 
 from akkudoktoreos.config.configabc import SettingsBaseModel
 from akkudoktoreos.core.coreabc import PredictionMixin, get_config
@@ -57,6 +52,8 @@ def _update_cec_database() -> None:
 
     Script taken from https://github.com/davidusb-geek/emhass/blob/master/scripts/save_pvlib_module_inverter_database.py
     """
+    from pvlib.pvsystem import retrieve_sam
+
     data_path = Path(__file__).parent.parent / "data"
 
     logger.info("Reading original outdated database bundled with PVLib")
@@ -269,6 +266,13 @@ class PVForecastPVLib(PredictionMixin, PVForecastProvider):
         Note:
             Taken from emhass
         """
+        # pvlib is imported on first use, so a server without this provider does
+        # not load it.
+        from pvlib.location import Location
+        from pvlib.modelchain import ModelChain
+        from pvlib.pvsystem import PVSystem
+        from pvlib.temperature import TEMPERATURE_MODEL_PARAMETERS
+
         # Validate weather data
         required = [
             "temp_air",
@@ -418,6 +422,8 @@ class PVForecastPVLib(PredictionMixin, PVForecastProvider):
         :param longitude: Longitude of the PV system.
         :return: DataFrame with added solar elevation and azimuth.
         """
+        from pvlib.solarposition import get_solarposition
+
         df = df.copy()
         solpos = get_solarposition(df.index, latitude, longitude)
         df["solar_elevation"] = solpos["elevation"]

src/akkudoktoreos/prediction/weatherabc.py

@@ -11,7 +11,6 @@ from typing import List, Optional
 
 import numpy as np
 import pandas as pd
-import pvlib
 from pydantic import Field
 
 from akkudoktoreos.prediction.predictionabc import PredictionProvider, PredictionRecord
@@ -170,6 +169,8 @@ class WeatherProvider(PredictionProvider[WeatherDataRecord]):
             This method is based on the implementation from PVLib and is adapted from
             https://github.com/davidusb-geek/emhass/blob/master/src/emhass/forecast.py (MIT License).
         """
+        import pvlib
+
         # Adjust offset percentage to scaling factor
         offset_fraction = offset / 100.0
 
@@ -212,4 +213,6 @@ class WeatherProvider(PredictionProvider[WeatherDataRecord]):
     def estimate_preciptable_water(
         cls, temperature: pd.Series, relative_humidity: pd.Series
     ) -> pd.Series:
+        import pvlib
+
         return pvlib.atmosphere.gueymard94_pw(temperature, relative_humidity)

src/akkudoktoreos/prediction/weatherbrightsky.py

@@ -11,7 +11,6 @@ from typing import Dict, List, Optional, Tuple, Union
 
 import numpy as np
 import pandas as pd
-import pvlib
 import requests
 from loguru import logger
 
@@ -166,6 +165,8 @@ class WeatherBrightSky(WeatherProvider):
 
         The final mapped and processed data is inserted into the sequence as `WeatherDataRecord`.
         """
+        import pvlib
+
         # Get BrightSky weather data for the given coordinates
         brightsky_data = self._request_forecast(force_update=force_update)  # type: ignore
 

src/akkudoktoreos/prediction/weatherclearoutside.py

@@ -17,7 +17,6 @@ from typing import Any, Dict, List, Optional, Tuple
 
 import pandas as pd
 import requests
-from bs4 import BeautifulSoup
 from loguru import logger
 
 from akkudoktoreos.core.cache import cache_in_file
@@ -140,7 +139,9 @@ class WeatherClearOutside(WeatherProvider):
         # Get ClearOutside web content - either from site or cached
         response = self._request_forecast(force_update=force_update)  # type: ignore
 
-        # Scrape the data
+        # Scrape the data (bs4/lxml are only needed by this provider)
+        from bs4 import BeautifulSoup
+
         soup = BeautifulSoup(response.content, "html.parser")
 
         # Find generation data

src/akkudoktoreos/prediction/weatheropenmeteo.py

@@ -10,7 +10,6 @@ from typing import Dict, List, Optional, Tuple, Union
 
 import numpy as np
 import pandas as pd
-import pvlib
 import requests
 from loguru import logger
 
@@ -251,6 +250,8 @@ class WeatherOpenMeteo(WeatherProvider):
         are used directly without additional calculation. The final mapped and processed
         data is inserted into the sequence as `WeatherDataRecord`.
         """
+        import pvlib
+
         # Retrieve Open-Meteo weather data for the given coordinates
         openmeteo_data = self._request_forecast(force_update=force_update)  # type: ignore
 

src/akkudoktoreos/server/eos.py

@@ -62,14 +62,8 @@ from akkudoktoreos.optimization.genetic0.genetic0solution import (
     Genetic0Solution,
     Genetic0SolutionLegacy,
 )
-from akkudoktoreos.optimization.genetic0.genetic0visualize import (
-    genetic0_prepare_visualize,
-)
 from akkudoktoreos.optimization.genetic.configrequest import ConfigOptimizationRequest
 from akkudoktoreos.optimization.genetic.geneticsolution import GeneticSolution
-from akkudoktoreos.optimization.genetic.geneticvisualize import (
-    genetic_prepare_visualize,
-)
 from akkudoktoreos.optimization.optimization import (
     OptimizationAlgorithm,
     OptimizationSolution,
@@ -1893,6 +1887,11 @@ async def fastapi_energy_management_optimization_solution_genetic_pdf_get() -> R
             detail="Can not get the 'GENETIC' optimization solution.",
         )
     snapshot = retained.model_copy(deep=True)
+    # matplotlib is only needed for the PDF report; import it on first use.
+    from akkudoktoreos.optimization.genetic.geneticvisualize import (
+        genetic_prepare_visualize,
+    )
+
     pdf = await asyncio.to_thread(genetic_prepare_visualize, solution=snapshot)
     return Response(
         content=pdf,
@@ -2314,6 +2313,11 @@ def get_pdf() -> Response:
             detail="Can not get the 'GENETIC0' optimization solution.",
         )
 
+    # matplotlib is only needed for the PDF report; import it on first use.
+    from akkudoktoreos.optimization.genetic0.genetic0visualize import (
+        genetic0_prepare_visualize,
+    )
+
     pdf = genetic0_prepare_visualize(solution=genetic0_solution)
 
     return Response(

src/akkudoktoreos/utils/datetimeutil.py

@@ -67,7 +67,6 @@ from pydantic import (
     GetCoreSchemaHandler,
 )
 from pydantic_core import core_schema
-from tzfpy import get_tz
 
 if TYPE_CHECKING:
     # The Pydantic adapters validate Pendulum values; arithmetic and factory
@@ -1414,6 +1413,10 @@ def to_timezone(
             lat, lon = location
             if not (-90 <= lat <= 90 and -180 <= lon <= 180):
                 raise ValueError(f"Invalid latitude/longitude: {lat}, {lon}")
+            # tzfpy loads its timezone polygons (~25 MB) on first use; import it
+            # only when a location lookup is actually needed.
+            from tzfpy import get_tz
+
             tz_name = get_tz(lon, lat)
             if not tz_name:
                 raise ValueError(

tests/test_lazy_imports.py

@@ -0,0 +1,111 @@
+"""Heavy optional dependencies must not be imported by a plain server start.
+
+A GENETIC server with external (import) providers and EOSdash disabled should not
+load the PDF report stack, the price fallback forecast, pvlib-based providers,
+the HTML scraper, the GENETIC0 optimizer or the timezone polygon lookup. Each of
+these costs several to tens of MB of resident memory on small devices.
+"""
+
+import json
+import os
+import subprocess
+import sys
+from pathlib import Path
+
+import pytest
+
+from akkudoktoreos.config.config import GeneralSettings
+
+LAZY_MODULES = [
+    "matplotlib",
+    "statsmodels",
+    "pvlib",
+    "bs4",
+    "lxml",
+    "scipy",
+    "tzfpy",
+    "akkudoktoreos.optimization.genetic0.genetic0",
+    "akkudoktoreos.optimization.genetic0.genetic0visualize",
+    "akkudoktoreos.optimization.genetic.geneticvisualize",
+]
+
+PROBE = """
+import json
+import sys
+
+import akkudoktoreos.server.eos  # noqa: F401
+from akkudoktoreos.core.coreabc import get_config, get_prediction, singletons_init
+
+config = get_config(init=True)
+singletons_init()
+get_prediction()
+assert config.general.timezone == "Europe/Berlin", config.general.timezone
+loaded = sorted(name for name in {modules} if name in sys.modules)
+print("LOADED_MODULES=" + json.dumps(loaded))
+"""
+
+
+def _loaded_modules(tmp_path: Path, extra_env: dict[str, str]) -> list[str]:
+    env = {key: value for key, value in os.environ.items() if not key.startswith("EOS_")}
+    env.update(
+        {
+            "EOS_DIR": str(tmp_path),
+            "EOS_CONFIG_DIR": str(tmp_path),
+            "EOS_GENERAL__DATA_FOLDER_PATH": str(tmp_path / "data"),
+            "EOS_SERVER__STARTUP_EOSDASH": "false",
+            "EOS_OPTIMIZATION__ALGORITHM": "GENETIC",
+            "EOS_LOGGING__CONSOLE_LEVEL": "ERROR",
+        }
+    )
+    env.update(extra_env)
+    result = subprocess.run(  # noqa: S603
+        [sys.executable, "-c", PROBE.format(modules=LAZY_MODULES)],
+        cwd=tmp_path,
+        env=env,
+        capture_output=True,
+        text=True,
+        timeout=120,
+        check=False,
+    )
+    assert result.returncode == 0, result.stderr[-4000:]
+    marker = "LOADED_MODULES="
+    lines = [line for line in result.stdout.splitlines() if line.startswith(marker)]
+    assert len(lines) == 1, result.stdout[-4000:]
+    return json.loads(lines[0][len(marker) :])
+
+
+def test_server_start_does_not_import_heavy_optional_modules(tmp_path: Path):
+    loaded = _loaded_modules(tmp_path, {"EOS_GENERAL__TIMEZONE_OVERRIDE": "Europe/Berlin"})
+    assert loaded == []
+
+
+def test_timezone_lookup_still_used_without_override(tmp_path: Path):
+    # Default latitude/longitude are in Berlin, so the lookup gives the same name.
+    loaded = _loaded_modules(tmp_path, {})
+    assert loaded == ["tzfpy"]
+
+
+def test_timezone_override_semantics():
+    general = GeneralSettings()
+    assert general.timezone_override is None
+    assert general.timezone == "Europe/Berlin"
+
+    general = GeneralSettings(latitude=40.7128, longitude=-74.0060)
+    assert general.timezone == "America/New_York"
+
+    general = GeneralSettings(
+        latitude=40.7128, longitude=-74.0060, timezone_override="Europe/Berlin"
+    )
+    assert general.timezone == "Europe/Berlin"
+
+    # Without coordinates the override still applies.
+    general = GeneralSettings(latitude=None, longitude=None, timezone_override="Asia/Tokyo")
+    assert general.timezone == "Asia/Tokyo"
+    assert GeneralSettings(latitude=None, longitude=None).timezone is None
+
+    assert GeneralSettings(timezone_override="Etc/UTC").timezone == "UTC"
+
+
+def test_timezone_override_rejects_unknown_names():
+    with pytest.raises(ValueError):
+        GeneralSettings(timezone_override="Mars/Olympus_Mons")

tests/test_optimization_pdf_api.py

@@ -9,6 +9,7 @@ import pytest
 from fastapi.testclient import TestClient
 from pypdf import PdfReader
 
+from akkudoktoreos.optimization.genetic import geneticvisualize
 from akkudoktoreos.optimization.genetic.geneticsolution import GeneticSolution
 from akkudoktoreos.server import eos
 from akkudoktoreos.utils.datetimeutil import to_datetime
@@ -70,7 +71,8 @@ async def test_render_is_offloaded_and_uses_an_owned_copy(config_eos, monkeypatc
         solution.ac_charge[0] = 0.123
         return b"%PDF-isolated-render"
 
-    monkeypatch.setattr(eos, "genetic_prepare_visualize", render)
+    # The PDF stack is imported on first use, so patch it at its source.
+    monkeypatch.setattr(geneticvisualize, "genetic_prepare_visualize", render)
     response = await eos.fastapi_energy_management_optimization_solution_genetic_pdf_get()
     assert response.body == b"%PDF-isolated-render"
     assert captured[0][0] != caller_thread

tests/test_optimize_run_result.py

@@ -9,6 +9,7 @@ import pytest
 
 from akkudoktoreos.core import ems as ems_module
 from akkudoktoreos.core.emsettings import EnergyManagementMode
+from akkudoktoreos.optimization.genetic0 import genetic0 as genetic0_module
 from akkudoktoreos.optimization.genetic0.genetic0params import (
     Genetic0OptimizationParameters,
 )
@@ -16,6 +17,15 @@ from akkudoktoreos.optimization.optimization import OptimizationAlgorithm
 from akkudoktoreos.utils.datetimeutil import to_datetime
 
 
+def _patch_optimizer(monkeypatch, prefix: str, constructor: Any) -> None:
+    """Replace the optimizer class that EnergyManagement.run() instantiates.
+
+    GENETIC0 is imported on first use inside run(), so it is patched at its source.
+    """
+    module = genetic0_module if prefix == "Genetic0" else ems_module
+    monkeypatch.setattr(module, prefix + "Optimization", constructor)
+
+
 @pytest.fixture
 def offline_ems(monkeypatch):
     """Run the actual EMS orchestration with no real adapters or prediction IO."""
@@ -110,7 +120,7 @@ async def test_optimization_routes_only_selected_algorithm(
         constructor = Mock()
         constructor.return_value.optimize_ems.return_value = solution
         constructors[prefix] = constructor
-        monkeypatch.setattr(ems_module, prefix + "Optimization", constructor)
+        _patch_optimizer(monkeypatch, prefix, constructor)
         prepare = AsyncMock(return_value=sentinel_parameters)
         preparers[prefix] = prepare
         monkeypatch.setattr(
@@ -170,8 +180,8 @@ async def test_optimization_routes_only_selected_algorithm(
 @pytest.mark.parametrize("mode", [EnergyManagementMode.DISABLED, EnergyManagementMode.PREDICTION])
 async def test_non_optimization_modes_never_optimize(monkeypatch, offline_ems, mode):
     constructors = [Mock(), Mock()]
-    monkeypatch.setattr(ems_module, "GeneticOptimization", constructors[0])
+    _patch_optimizer(monkeypatch, "Genetic", constructors[0])
-    monkeypatch.setattr(ems_module, "Genetic0Optimization", constructors[1])
+    _patch_optimizer(monkeypatch, "Genetic0", constructors[1])
     offline_ems.config.ems.mode = mode
     await ems_module.EnergyManagement.run(offline_ems)
     for constructor in constructors:
@@ -187,7 +197,7 @@ async def test_non_optimization_modes_never_optimize(monkeypatch, offline_ems, m
 @pytest.mark.parametrize("prefix", ["Genetic", "Genetic0"])
 async def test_missing_preparation_does_not_dispatch_controls(monkeypatch, offline_ems, prefix):
     constructor = Mock()
-    monkeypatch.setattr(ems_module, prefix + "Optimization", constructor)
+    _patch_optimizer(monkeypatch, prefix, constructor)
     prepare = AsyncMock(return_value=None)
     monkeypatch.setattr(getattr(ems_module, prefix + "OptimizationParameters"), "prepare", prepare)
     await ems_module.EnergyManagement.run(
@@ -273,7 +283,7 @@ async def test_failed_legacy_http_run_never_reports_previous_solution(
         native.optimization_solution.side_effect = error
     else:
         native.energy_management_plan.side_effect = error
-    monkeypatch.setattr(ems_module, "Genetic0Optimization", constructor)
+    _patch_optimizer(monkeypatch, "Genetic0", constructor)
     offline_ems.run = MethodType(cls.run, offline_ems)
     offline_ems.genetic0_solution = cls.genetic0_solution
     monkeypatch.setattr(eos, "get_ems", lambda: offline_ems)
@@ -311,7 +321,7 @@ async def test_conversion_failure_preserves_consistent_previous_results(
         solution.energy_management_plan.side_effect = RuntimeError("synthetic plan failure")
     constructor = Mock()
     constructor.return_value.optimize_ems.return_value = solution
-    monkeypatch.setattr(ems_module, prefix + "Optimization", constructor)
+    _patch_optimizer(monkeypatch, prefix, constructor)
     supplied_parameters: dict[str, Any] = {suffix + "_parameters": object()}
     result = await cls.run(
         offline_ems,

tests/test_pvforecastpvlib.py

@@ -1308,8 +1308,8 @@ class TestCalculation:
         assert isinstance(result, pd.DataFrame)
         assert result.empty
 
-    @patch("akkudoktoreos.prediction.pvforecastpvlib.ModelChain")
+    @patch("pvlib.modelchain.ModelChain")
-    @patch("akkudoktoreos.prediction.pvforecastpvlib.Location")
+    @patch("pvlib.location.Location")
     def test_location_created(
         self,
         mock_location,
@@ -1352,7 +1352,7 @@ class TestCalculation:
 
         mock_location.assert_called_once()
 
-    @patch("akkudoktoreos.prediction.pvforecastpvlib.ModelChain")
+    @patch("pvlib.modelchain.ModelChain")
     def test_modelchain_run_called(
         self,
         mock_modelchain,
@@ -1395,7 +1395,7 @@ class TestCalculation:
 
         mc.run_model.assert_called_once_with(weather)
 
-    @patch("akkudoktoreos.prediction.pvforecastpvlib.ModelChain")
+    @patch("pvlib.modelchain.ModelChain")
     def test_negative_power_clipped(
         self,
         mock_modelchain,
@@ -1444,7 +1444,7 @@ class TestCalculation:
         assert (result["pv_dc_power"] >= 0).all()
         assert (result["ac_power"] >= 0).all()
 
-    @patch("akkudoktoreos.prediction.pvforecastpvlib.ModelChain")
+    @patch("pvlib.modelchain.ModelChain")
     def test_dataframe_columns(
         self,
         mock_modelchain,
@@ -1489,7 +1489,7 @@ class TestCalculation:
         assert "pv_dc_power" in result.columns
         assert "ac_power" in result.columns
 
-    @patch("akkudoktoreos.prediction.pvforecastpvlib.ModelChain")
+    @patch("pvlib.modelchain.ModelChain")
     def test_result_index_preserved(
         self,
         mock_modelchain,