SolarManager unter Versionsverwaltung
Erster Stand der Hintergrundprozesse, die auf der Synology unter /volume1/homes/wagner/SolarManager laufen: der Manager selbst, die Sammler je Geraet, die MQTT-Bruecke, der Wecker und - neu hinzugezogen - der AutoAction-Runner, der als Hintergrundprozess hierher gehoert und nicht ins Web-Verzeichnis. Zugangsdaten stehen nicht mehr im Quelltext, sondern in config.ini, die nicht mit eingecheckt wird. Vorlage ist config.ini.example, gelesen wird sie von konfig.py. Betroffen waren solarManager.py (Datenbank und Wattpilot), zeit.py, gatherWaterData.py, wecker.py und skoda_testdaten.py, das sich das Passwort bisher aus dem Quelltext eines anderen Moduls herausgesucht hat. Die Kia-Anbindung ist mit dem Fahrzeug entfallen: kiaTest.py, gatherCarData.py und hyundai_kia_connect_api sind nicht mehr dabei, ebenso gatherInverterData.py, auf das nur noch eine auskommentierte Zeile zeigte. Die mitgelieferten Bibliotheken bleiben im Repository - die NAS hat kein pip, sie muessen neben den Skripten liegen. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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# Copyright The OpenTelemetry Authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from math import ceil, log2
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class Buckets:
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# No method of this class is protected by locks because instances of this
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# class are only used in methods that are protected by locks themselves.
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def __init__(self):
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self._counts = [0]
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# The term index refers to the number of the exponential histogram bucket
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# used to determine its boundaries. The lower boundary of a bucket is
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# determined by base ** index and the upper boundary of a bucket is
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# determined by base ** (index + 1). index values are signedto account
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# for values less than or equal to 1.
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# self._index_* will all have values equal to a certain index that is
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# determined by the corresponding mapping _map_to_index function and
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# the value of the index depends on the value passed to _map_to_index.
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# Index of the 0th position in self._counts: self._counts[0] is the
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# count in the bucket with index self.__index_base.
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self.__index_base = 0
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# self.__index_start is the smallest index value represented in
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# self._counts.
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self.__index_start = 0
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# self.__index_start is the largest index value represented in
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# self._counts.
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self.__index_end = 0
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@property
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def index_start(self) -> int:
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return self.__index_start
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@index_start.setter
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def index_start(self, value: int) -> None:
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self.__index_start = value
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@property
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def index_end(self) -> int:
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return self.__index_end
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@index_end.setter
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def index_end(self, value: int) -> None:
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self.__index_end = value
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@property
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def index_base(self) -> int:
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return self.__index_base
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@index_base.setter
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def index_base(self, value: int) -> None:
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self.__index_base = value
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@property
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def counts(self):
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return self._counts
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def grow(self, needed: int, max_size: int) -> None:
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size = len(self._counts)
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bias = self.__index_base - self.__index_start
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old_positive_limit = size - bias
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# 2 ** ceil(log2(needed)) finds the smallest power of two that is larger
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# or equal than needed:
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# 2 ** ceil(log2(1)) == 1
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# 2 ** ceil(log2(2)) == 2
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# 2 ** ceil(log2(3)) == 4
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# 2 ** ceil(log2(4)) == 4
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# 2 ** ceil(log2(5)) == 8
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# 2 ** ceil(log2(6)) == 8
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# 2 ** ceil(log2(7)) == 8
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# 2 ** ceil(log2(8)) == 8
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new_size = min(2 ** ceil(log2(needed)), max_size)
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new_positive_limit = new_size - bias
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tmp = [0] * new_size
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tmp[new_positive_limit:] = self._counts[old_positive_limit:]
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tmp[0:old_positive_limit] = self._counts[0:old_positive_limit]
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self._counts = tmp
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@property
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def offset(self) -> int:
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return self.__index_start
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def __len__(self) -> int:
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if len(self._counts) == 0:
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return 0
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if self.__index_end == self.__index_start and self[0] == 0:
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return 0
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return self.__index_end - self.__index_start + 1
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def __getitem__(self, key: int) -> int:
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bias = self.__index_base - self.__index_start
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if key < bias:
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key += len(self._counts)
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key -= bias
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return self._counts[key]
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def downscale(self, amount: int) -> None:
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"""
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Rotates, then collapses 2 ** amount to 1 buckets.
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"""
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bias = self.__index_base - self.__index_start
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if bias != 0:
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self.__index_base = self.__index_start
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# [0, 1, 2, 3, 4] Original backing array
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self._counts = self._counts[::-1]
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# [4, 3, 2, 1, 0]
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self._counts = self._counts[:bias][::-1] + self._counts[bias:][::-1]
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# [3, 4, 0, 1, 2] This is a rotation of the backing array.
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size = 1 + self.__index_end - self.__index_start
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each = 1 << amount
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inpos = 0
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outpos = 0
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pos = self.__index_start
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while pos <= self.__index_end:
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mod = pos % each
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if mod < 0:
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mod += each
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index = mod
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while index < each and inpos < size:
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if outpos != inpos:
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self._counts[outpos] += self._counts[inpos]
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self._counts[inpos] = 0
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inpos += 1
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pos += 1
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index += 1
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outpos += 1
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self.__index_start >>= amount
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self.__index_end >>= amount
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self.__index_base = self.__index_start
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def increment_bucket(self, bucket_index: int, increment: int = 1) -> None:
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self._counts[bucket_index] += increment
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