384 lines
14 KiB
Python
384 lines
14 KiB
Python
# ------------------------------------------------------------------------------
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# Copyright 2022 Upstream Data Inc -
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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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# ------------------------------------------------------------------------------
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import copy
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import json
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import time
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from dataclasses import asdict, dataclass, field, fields
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from datetime import datetime, timezone
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from typing import Any, List, Union
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from pyasic.config import MinerConfig
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from pyasic.config.mining import MiningModePowerTune
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from .boards import HashBoard
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from .error_codes import BraiinsOSError, InnosiliconError, WhatsminerError, X19Error
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from .fans import Fan
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@dataclass
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class MinerData:
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"""A Dataclass to standardize data returned from miners (specifically `AnyMiner().get_data()`)
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Attributes:
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ip: The IP of the miner as a str.
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datetime: The time and date this data was generated.
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uptime: The uptime of the miner in seconds.
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mac: The MAC address of the miner as a str.
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model: The model of the miner as a str.
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make: The make of the miner as a str.
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api_ver: The current api version on the miner as a str.
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fw_ver: The current firmware version on the miner as a str.
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hostname: The network hostname of the miner as a str.
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hashrate: The hashrate of the miner in TH/s as a float. Calculated automatically.
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_hashrate: Backup for hashrate found via API instead of hashboards.
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expected_hashrate: The factory nominal hashrate of the miner in TH/s as a float.
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hashboards: A list of [`HashBoard`][pyasic.data.HashBoard]s on the miner with their statistics.
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temperature_avg: The average temperature across the boards. Calculated automatically.
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env_temp: The environment temps as a float.
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wattage: Current power draw of the miner as an int.
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wattage_limit: Power limit of the miner as an int.
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fans: A list of fans on the miner with their speeds.
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fan_psu: The speed of the PSU on the fan if the miner collects it.
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total_chips: The total number of chips on all boards. Calculated automatically.
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expected_chips: The expected number of chips in the miner as an int.
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percent_expected_chips: The percent of total chips out of the expected count. Calculated automatically.
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percent_expected_hashrate: The percent of total hashrate out of the expected hashrate. Calculated automatically.
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percent_expected_wattage: The percent of total wattage out of the expected wattage. Calculated automatically.
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nominal: Whether the number of chips in the miner is nominal. Calculated automatically.
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config: The parsed config of the miner, using [`MinerConfig`][pyasic.config.MinerConfig].
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errors: A list of errors on the miner.
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fault_light: Whether the fault light is on as a boolean.
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efficiency: Efficiency of the miner in J/TH (Watts per TH/s). Calculated automatically.
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is_mining: Whether the miner is mining.
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"""
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ip: str
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datetime: datetime = None
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uptime: int = None
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mac: str = None
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model: str = None
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make: str = None
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api_ver: str = None
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fw_ver: str = None
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hostname: str = None
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hashrate: float = field(init=False)
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_hashrate: float = field(repr=False, default=None)
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expected_hashrate: float = None
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hashboards: List[HashBoard] = field(default_factory=list)
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expected_hashboards: int = None
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temperature_avg: int = field(init=False)
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env_temp: float = None
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wattage: int = None
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wattage_limit: int = field(init=False)
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_wattage_limit: int = field(repr=False, default=None)
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fans: List[Fan] = field(default_factory=list)
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fan_psu: int = None
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total_chips: int = field(init=False)
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expected_chips: int = None
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percent_expected_chips: float = field(init=False)
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percent_expected_hashrate: float = field(init=False)
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percent_expected_wattage: float = field(init=False)
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nominal: bool = field(init=False)
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config: MinerConfig = None
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errors: List[
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Union[WhatsminerError, BraiinsOSError, X19Error, InnosiliconError]
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] = field(default_factory=list)
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fault_light: Union[bool, None] = None
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efficiency: int = field(init=False)
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is_mining: bool = True
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@classmethod
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def fields(cls):
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return [f.name for f in fields(cls) if not f.name.startswith("_")]
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@staticmethod
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def dict_factory(x):
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return {k: v for (k, v) in x if not k.startswith("_")}
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def __post_init__(self):
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self.datetime = datetime.now(timezone.utc).astimezone()
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def get(self, __key: str, default: Any = None):
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try:
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val = self.__getitem__(__key)
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if val is None:
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return default
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return val
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except KeyError:
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return default
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def __getitem__(self, item: str):
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try:
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return getattr(self, item)
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except AttributeError:
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raise KeyError(f"{item}")
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def __setitem__(self, key, value):
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return setattr(self, key, value)
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def __iter__(self):
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return iter([item for item in self.asdict()])
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def __truediv__(self, other):
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return self // other
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def __floordiv__(self, other):
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cp = copy.deepcopy(self)
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for key in self:
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item = getattr(self, key)
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if isinstance(item, int):
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setattr(cp, key, item // other)
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if isinstance(item, float):
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setattr(cp, key, round(item / other, 2))
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return cp
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def __add__(self, other):
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if not isinstance(other, MinerData):
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raise TypeError("Cannot add MinerData to non MinerData type.")
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cp = copy.deepcopy(self)
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for key in self:
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item = getattr(self, key)
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other_item = getattr(other, key)
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if item is None:
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item = 0
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if other_item is None:
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other_item = 0
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if isinstance(item, int):
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setattr(cp, key, item + other_item)
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if isinstance(item, float):
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setattr(cp, key, item + other_item)
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if isinstance(item, str):
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setattr(cp, key, "")
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if isinstance(item, list):
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setattr(cp, key, item + other_item)
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if isinstance(item, bool):
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setattr(cp, key, item & other_item)
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return cp
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@property
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def hashrate(self): # noqa - Skip PyCharm inspection
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if len(self.hashboards) > 0:
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hr_data = []
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for item in self.hashboards:
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if item.hashrate is not None:
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hr_data.append(item.hashrate)
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if len(hr_data) > 0:
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return round(sum(hr_data), 2)
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return self._hashrate
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@hashrate.setter
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def hashrate(self, val):
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self._hashrate = val
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@property
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def wattage_limit(self): # noqa - Skip PyCharm inspection
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if self.config is not None:
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if isinstance(self.config.mining_mode, MiningModePowerTune):
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return self.config.mining_mode.power
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return self._wattage_limit
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@wattage_limit.setter
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def wattage_limit(self, val: int):
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self._wattage_limit = val
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@property
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def total_chips(self): # noqa - Skip PyCharm inspection
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if len(self.hashboards) > 0:
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chip_data = []
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for item in self.hashboards:
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if item.chips is not None:
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chip_data.append(item.chips)
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if len(chip_data) > 0:
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return sum(chip_data)
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return None
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@total_chips.setter
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def total_chips(self, val):
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pass
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@property
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def nominal(self): # noqa - Skip PyCharm inspection
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if self.total_chips is None or self.expected_chips is None:
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return None
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return self.expected_chips == self.total_chips
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@nominal.setter
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def nominal(self, val):
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pass
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@property
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def percent_expected_chips(self): # noqa - Skip PyCharm inspection
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if self.total_chips is None or self.expected_chips is None:
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return None
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if self.total_chips == 0 or self.expected_chips == 0:
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return 0
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return round((self.total_chips / self.expected_chips) * 100)
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@percent_expected_chips.setter
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def percent_expected_chips(self, val):
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pass
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@property
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def percent_expected_hashrate(self): # noqa - Skip PyCharm inspection
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if self.hashrate is None or self.expected_hashrate is None:
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return None
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if self.hashrate == 0 or self.expected_hashrate == 0:
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return 0
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return round((self.hashrate / self.expected_hashrate) * 100)
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@percent_expected_hashrate.setter
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def percent_expected_hashrate(self, val):
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pass
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@property
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def percent_expected_wattage(self): # noqa - Skip PyCharm inspection
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if self.wattage_limit is None or self.wattage is None:
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return None
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if self.wattage_limit == 0 or self.wattage == 0:
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return 0
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return round((self.wattage / self.wattage_limit) * 100)
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@percent_expected_wattage.setter
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def percent_expected_wattage(self, val):
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pass
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@property
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def temperature_avg(self): # noqa - Skip PyCharm inspection
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total_temp = 0
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temp_count = 0
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for hb in self.hashboards:
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if hb.temp is not None:
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total_temp += hb.temp
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temp_count += 1
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if not temp_count > 0:
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return None
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return round(total_temp / temp_count)
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@temperature_avg.setter
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def temperature_avg(self, val):
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pass
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@property
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def efficiency(self): # noqa - Skip PyCharm inspection
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if self.hashrate is None or self.wattage is None:
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return None
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if self.hashrate == 0 or self.wattage == 0:
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return 0
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return round(self.wattage / self.hashrate)
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@efficiency.setter
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def efficiency(self, val):
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pass
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def asdict(self) -> dict:
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return asdict(self, dict_factory=self.dict_factory)
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def as_dict(self) -> dict:
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"""Get this dataclass as a dictionary.
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Returns:
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A dictionary version of this class.
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"""
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return self.asdict()
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def as_json(self) -> str:
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"""Get this dataclass as JSON.
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Returns:
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A JSON version of this class.
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"""
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data = self.asdict()
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data["datetime"] = str(int(time.mktime(data["datetime"].timetuple())))
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return json.dumps(data)
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def as_csv(self) -> str:
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"""Get this dataclass as CSV.
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Returns:
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A CSV version of this class with no headers.
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"""
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data = self.asdict()
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data["datetime"] = str(int(time.mktime(data["datetime"].timetuple())))
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errs = []
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for error in data["errors"]:
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errs.append(error["error_message"])
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data["errors"] = "; ".join(errs)
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data_list = [str(data[item]) for item in data]
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return ",".join(data_list)
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def as_influxdb(self, measurement_name: str = "miner_data") -> str:
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"""Get this dataclass as [influxdb line protocol](https://docs.influxdata.com/influxdb/v2.4/reference/syntax/line-protocol/).
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Parameters:
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measurement_name: The name of the measurement to insert into in influxdb.
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Returns:
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A influxdb line protocol version of this class.
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"""
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tag_data = [measurement_name]
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field_data = []
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tags = ["ip", "mac", "model", "hostname"]
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for attribute in self:
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if attribute in tags:
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escaped_data = self.get(attribute, "Unknown").replace(" ", "\\ ")
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tag_data.append(f"{attribute}={escaped_data}")
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continue
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elif str(attribute).startswith("_"):
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continue
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elif isinstance(self[attribute], str):
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field_data.append(f'{attribute}="{self[attribute]}"')
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continue
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elif isinstance(self[attribute], bool):
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field_data.append(f"{attribute}={str(self[attribute]).lower()}")
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continue
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elif isinstance(self[attribute], int):
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field_data.append(f"{attribute}={self[attribute]}")
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continue
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elif isinstance(self[attribute], float):
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field_data.append(f"{attribute}={self[attribute]}")
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continue
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elif attribute == "errors":
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for idx, item in enumerate(self[attribute]):
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field_data.append(f'error_{idx+1}="{item.error_message}"')
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elif attribute == "hashboards":
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for idx, item in enumerate(self[attribute]):
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field_data.append(
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f"hashboard_{idx+1}_hashrate={item.get('hashrate', 0.0)}"
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)
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field_data.append(
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f"hashboard_{idx+1}_temperature={item.get('temp', 0)}"
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)
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field_data.append(
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f"hashboard_{idx+1}_chip_temperature={item.get('chip_temp', 0)}"
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)
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field_data.append(f"hashboard_{idx+1}_chips={item.get('chips', 0)}")
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field_data.append(
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f"hashboard_{idx+1}_expected_chips={item.get('expected_chips', 0)}"
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)
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elif attribute == "fans":
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for idx, item in enumerate(self[attribute]):
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if item.speed is not None:
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field_data.append(f"fan_{idx+1}={item.speed}")
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tags_str = ",".join(tag_data)
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field_str = ",".join(field_data)
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timestamp = str(int(time.mktime(self.datetime.timetuple()) * 1e9))
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return " ".join([tags_str, field_str, timestamp])
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