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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>
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Christin
Claude Opus 5.5
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6d26252c6a
commit
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@@ -17,7 +17,6 @@ from typing import Any, Dict, List, Optional, Tuple
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import pandas as pd
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import requests
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from bs4 import BeautifulSoup
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from loguru import logger
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from akkudoktoreos.core.cache import cache_in_file
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@@ -140,7 +139,9 @@ class WeatherClearOutside(WeatherProvider):
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# Get ClearOutside web content - either from site or cached
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response = self._request_forecast(force_update=force_update) # type: ignore
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# Scrape the data
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# Scrape the data (bs4/lxml are only needed by this provider)
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from bs4 import BeautifulSoup
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soup = BeautifulSoup(response.content, "html.parser")
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# Find generation data
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