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>
This commit is contained in:
Claude Opus 5
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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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# pylint: disable=unused-import
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from dataclasses import asdict, dataclass
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from json import dumps, loads
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from typing import Optional, Sequence, Union
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# This kind of import is needed to avoid Sphinx errors.
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import mysql.opentelemetry.sdk.metrics._internal
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from mysql.opentelemetry.sdk.resources import Resource
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from mysql.opentelemetry.sdk.util.instrumentation import InstrumentationScope
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from mysql.opentelemetry.util.types import Attributes
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@dataclass(frozen=True)
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class NumberDataPoint:
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"""Single data point in a timeseries that describes the time-varying scalar
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value of a metric.
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"""
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attributes: Attributes
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start_time_unix_nano: int
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time_unix_nano: int
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value: Union[int, float]
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def to_json(self, indent=4) -> str:
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return dumps(asdict(self), indent=indent)
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@dataclass(frozen=True)
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class HistogramDataPoint:
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"""Single data point in a timeseries that describes the time-varying scalar
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value of a metric.
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"""
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attributes: Attributes
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start_time_unix_nano: int
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time_unix_nano: int
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count: int
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sum: Union[int, float]
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bucket_counts: Sequence[int]
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explicit_bounds: Sequence[float]
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min: float
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max: float
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def to_json(self, indent=4) -> str:
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return dumps(asdict(self), indent=indent)
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@dataclass(frozen=True)
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class Buckets:
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offset: int
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bucket_counts: Sequence[int]
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@dataclass(frozen=True)
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class ExponentialHistogramDataPoint:
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"""Single data point in a timeseries whose boundaries are defined by an
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exponential function. This timeseries describes the time-varying scalar
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value of a metric.
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"""
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attributes: Attributes
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start_time_unix_nano: int
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time_unix_nano: int
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count: int
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sum: Union[int, float]
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scale: int
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zero_count: int
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positive: Buckets
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negative: Buckets
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flags: int
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min: float
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max: float
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def to_json(self, indent=4) -> str:
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return dumps(asdict(self), indent=indent)
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@dataclass(frozen=True)
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class ExponentialHistogram:
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"""Represents the type of a metric that is calculated by aggregating as an
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ExponentialHistogram of all reported measurements over a time interval.
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"""
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data_points: Sequence[ExponentialHistogramDataPoint]
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aggregation_temporality: (
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"mysql.opentelemetry.sdk.metrics.export.AggregationTemporality"
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)
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@dataclass(frozen=True)
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class Sum:
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"""Represents the type of a scalar metric that is calculated as a sum of
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all reported measurements over a time interval."""
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data_points: Sequence[NumberDataPoint]
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aggregation_temporality: (
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"mysql.opentelemetry.sdk.metrics.export.AggregationTemporality"
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)
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is_monotonic: bool
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def to_json(self, indent=4) -> str:
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return dumps(
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{
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"data_points": [
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loads(data_point.to_json(indent=indent))
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for data_point in self.data_points
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],
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"aggregation_temporality": self.aggregation_temporality,
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"is_monotonic": self.is_monotonic,
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},
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indent=indent,
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)
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@dataclass(frozen=True)
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class Gauge:
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"""Represents the type of a scalar metric that always exports the current
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value for every data point. It should be used for an unknown
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aggregation."""
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data_points: Sequence[NumberDataPoint]
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def to_json(self, indent=4) -> str:
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return dumps(
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{
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"data_points": [
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loads(data_point.to_json(indent=indent))
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for data_point in self.data_points
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],
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},
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indent=indent,
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)
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@dataclass(frozen=True)
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class Histogram:
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"""Represents the type of a metric that is calculated by aggregating as a
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histogram of all reported measurements over a time interval."""
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data_points: Sequence[HistogramDataPoint]
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aggregation_temporality: (
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"mysql.opentelemetry.sdk.metrics.export.AggregationTemporality"
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)
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def to_json(self, indent=4) -> str:
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return dumps(
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{
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"data_points": [
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loads(data_point.to_json(indent=indent))
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for data_point in self.data_points
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],
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"aggregation_temporality": self.aggregation_temporality,
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},
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indent=indent,
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)
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DataT = Union[Sum, Gauge, Histogram]
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DataPointT = Union[NumberDataPoint, HistogramDataPoint]
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@dataclass(frozen=True)
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class Metric:
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"""Represents a metric point in the OpenTelemetry data model to be
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exported."""
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name: str
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description: Optional[str]
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unit: Optional[str]
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data: DataT
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def to_json(self, indent=4) -> str:
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return dumps(
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{
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"name": self.name,
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"description": self.description or "",
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"unit": self.unit or "",
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"data": loads(self.data.to_json(indent=indent)),
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},
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indent=indent,
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)
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@dataclass(frozen=True)
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class ScopeMetrics:
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"""A collection of Metrics produced by a scope"""
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scope: InstrumentationScope
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metrics: Sequence[Metric]
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schema_url: str
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def to_json(self, indent=4) -> str:
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return dumps(
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{
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"scope": loads(self.scope.to_json(indent=indent)),
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"metrics": [
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loads(metric.to_json(indent=indent)) for metric in self.metrics
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],
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"schema_url": self.schema_url,
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},
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indent=indent,
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)
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@dataclass(frozen=True)
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class ResourceMetrics:
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"""A collection of ScopeMetrics from a Resource"""
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resource: Resource
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scope_metrics: Sequence[ScopeMetrics]
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schema_url: str
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def to_json(self, indent=4) -> str:
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return dumps(
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{
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"resource": loads(self.resource.to_json(indent=indent)),
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"scope_metrics": [
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loads(scope_metrics.to_json(indent=indent))
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for scope_metrics in self.scope_metrics
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],
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"schema_url": self.schema_url,
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},
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indent=indent,
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)
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@dataclass(frozen=True)
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class MetricsData:
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"""An array of ResourceMetrics"""
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resource_metrics: Sequence[ResourceMetrics]
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def to_json(self, indent=4) -> str:
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return dumps(
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{
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"resource_metrics": [
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loads(resource_metrics.to_json(indent=indent))
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for resource_metrics in self.resource_metrics
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]
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},
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indent=indent,
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)
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