Files
pyasic/pyasic/data/__init__.py
2023-02-13 16:03:38 -07:00

517 lines
18 KiB
Python

# ------------------------------------------------------------------------------
# Copyright 2022 Upstream Data Inc -
# -
# Licensed under the Apache License, Version 2.0 (the "License"); -
# you may not use this file except in compliance with the License. -
# You may obtain a copy of the License at -
# -
# http://www.apache.org/licenses/LICENSE-2.0 -
# -
# Unless required by applicable law or agreed to in writing, software -
# distributed under the License is distributed on an "AS IS" BASIS, -
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -
# See the License for the specific language governing permissions and -
# limitations under the License. -
# ------------------------------------------------------------------------------
import copy
import json
import logging
import time
from dataclasses import asdict, dataclass, field, fields
from datetime import datetime, timezone
from typing import List, Union
from .error_codes import BraiinsOSError, InnosiliconError, WhatsminerError, X19Error
@dataclass
class HashBoard:
"""A Dataclass to standardize hashboard data.
Attributes:
slot: The slot of the board as an int.
hashrate: The hashrate of the board in TH/s as a float.
temp: The temperature of the PCB as an int.
chip_temp: The temperature of the chips as an int.
chips: The chip count of the board as an int.
expected_chips: The ideal chip count of the board as an int.
missing: Whether the board is returned from the miners data as a bool.
"""
slot: int = 0
hashrate: float = 0.0
temp: int = -1
chip_temp: int = -1
chips: int = 0
expected_chips: int = 0
missing: bool = True
@dataclass
class Fan:
"""A Dataclass to standardize fan data.
Attributes:
speed: The speed of the fan.
"""
speed: int = -1
@dataclass
class MinerData:
"""A Dataclass to standardize data returned from miners (specifically `AnyMiner().get_data()`)
Attributes:
ip: The IP of the miner as a str.
datetime: The time and date this data was generated.
model: The model of the miner as a str.
make: The make of the miner as a str.
api_ver: The current api version on the miner as a str.
fw_ver: The current firmware version on the miner as a str.
hostname: The network hostname of the miner as a str.
hashrate: The hashrate of the miner in TH/s as a float.
nominal_hashrate: The factory nominal hashrate of the miner in TH/s as a float.
left_board_hashrate: The hashrate of the left board of the miner in TH/s as a float.
center_board_hashrate: The hashrate of the center board of the miner in TH/s as a float.
right_board_hashrate: The hashrate of the right board of the miner in TH/s as a float.
temperature_avg: The average temperature across the boards. Calculated automatically.
env_temp: The environment temps as a float.
left_board_temp: The temp of the left PCB as an int.
left_board_chip_temp: The temp of the left board chips as an int.
center_board_temp: The temp of the center PCB as an int.
center_board_chip_temp: The temp of the center board chips as an int.
right_board_temp: The temp of the right PCB as an int.
right_board_chip_temp: The temp of the right board chips as an int.
wattage: Current power draw of the miner as an int.
wattage_limit: Power limit of the miner as an int.
fan_1: The speed of the first fan as an int.
fan_2: The speed of the second fan as an int.
fan_3: The speed of the third fan as an int.
fan_4: The speed of the fourth fan as an int.
fan_psu: The speed of the PSU on the fan if the miner collects it.
left_chips: The number of chips online in the left board as an int.
center_chips: The number of chips online in the left board as an int.
right_chips: The number of chips online in the left board as an int.
total_chips: The total number of chips on all boards. Calculated automatically.
ideal_chips: The ideal number of chips in the miner as an int.
percent_ideal: The percent of total chips out of the ideal count. Calculated automatically.
nominal: Whether the number of chips in the miner is nominal. Calculated automatically.
pool_split: The pool split as a str.
pool_1_url: The first pool url on the miner as a str.
pool_1_user: The first pool user on the miner as a str.
pool_2_url: The second pool url on the miner as a str.
pool_2_user: The second pool user on the miner as a str.
errors: A list of errors on the miner.
fault_light: Whether or not the fault light is on as a boolean.
efficiency: Efficiency of the miner in J/TH (Watts per TH/s). Calculated automatically.
"""
ip: str
datetime: datetime = None
mac: str = "00:00:00:00:00:00"
model: str = "Unknown"
make: str = "Unknown"
api_ver: str = "Unknown"
fw_ver: str = "Unknown"
hostname: str = "Unknown"
hashrate: float = 0
nominal_hashrate: float = 0
hashboards: List[HashBoard] = field(default_factory=list)
ideal_hashboards: int = 1
left_board_hashrate: float = field(init=False)
center_board_hashrate: float = field(init=False)
right_board_hashrate: float = field(init=False)
temperature_avg: int = field(init=False)
env_temp: float = -1.0
left_board_temp: int = field(init=False)
left_board_chip_temp: int = field(init=False)
center_board_temp: int = field(init=False)
center_board_chip_temp: int = field(init=False)
right_board_temp: int = field(init=False)
right_board_chip_temp: int = field(init=False)
wattage: int = -1
wattage_limit: int = -1
fans: List[Fan] = field(default_factory=list)
fan_1: int = field(init=False)
fan_2: int = field(init=False)
fan_3: int = field(init=False)
fan_4: int = field(init=False)
fan_psu: int = -1
left_chips: int = field(init=False)
center_chips: int = field(init=False)
right_chips: int = field(init=False)
total_chips: int = field(init=False)
ideal_chips: int = 1
percent_ideal: float = field(init=False)
nominal: int = field(init=False)
pool_split: str = "0"
pool_1_url: str = "Unknown"
pool_1_user: str = "Unknown"
pool_2_url: str = ""
pool_2_user: str = ""
errors: List[
Union[WhatsminerError, BraiinsOSError, X19Error, InnosiliconError]
] = field(default_factory=list)
fault_light: Union[bool, None] = None
efficiency: int = field(init=False)
@classmethod
def fields(cls):
return [f.name for f in fields(cls)]
def __post_init__(self):
self.datetime = datetime.now(timezone.utc).astimezone()
def __getitem__(self, item):
try:
return getattr(self, item)
except AttributeError:
raise KeyError(f"{item}")
def __setitem__(self, key, value):
return setattr(self, key, value)
def __iter__(self):
return iter([item for item in self.asdict()])
def __truediv__(self, other):
return self // other
def __floordiv__(self, other):
cp = copy.deepcopy(self)
for key in self:
item = getattr(self, key)
if isinstance(item, int):
setattr(cp, key, item // other)
if isinstance(item, float):
setattr(cp, key, round(item / other, 2))
return cp
def __add__(self, other):
if not isinstance(other, MinerData):
raise TypeError("Cannot add MinerData to non MinerData type.")
cp = copy.deepcopy(self)
for key in self:
item = getattr(self, key)
other_item = getattr(other, key)
if item is None:
item = 0
if other_item is None:
other_item = 0
if isinstance(item, int):
setattr(cp, key, item + other_item)
if isinstance(item, float):
setattr(cp, key, item + other_item)
if isinstance(item, str):
setattr(cp, key, "")
if isinstance(item, list):
setattr(cp, key, item + other_item)
if isinstance(item, bool):
setattr(cp, key, item & other_item)
return cp
@property
def fan_1(self): # noqa - Skip PyCharm inspection
if len(self.fans) > 0:
return self.fans[0].speed
@fan_1.setter
def fan_1(self, val):
pass
@property
def fan_2(self): # noqa - Skip PyCharm inspection
if len(self.fans) > 1:
return self.fans[1].speed
@fan_2.setter
def fan_2(self, val):
pass
@property
def fan_3(self): # noqa - Skip PyCharm inspection
if len(self.fans) > 2:
return self.fans[2].speed
@fan_3.setter
def fan_3(self, val):
pass
@property
def fan_4(self): # noqa - Skip PyCharm inspection
if len(self.fans) > 3:
return self.fans[3].speed
@fan_4.setter
def fan_4(self, val):
pass
@property
def total_chips(self): # noqa - Skip PyCharm inspection
return sum([hb.chips for hb in self.hashboards])
@total_chips.setter
def total_chips(self, val):
pass
@property
def left_chips(self): # noqa - Skip PyCharm inspection
if len(self.hashboards) in [2, 3]:
return self.hashboards[0].chips
return 0
@left_chips.setter
def left_chips(self, val):
pass
@property
def center_chips(self): # noqa - Skip PyCharm inspection
if len(self.hashboards) == 1:
return self.hashboards[0].chips
if len(self.hashboards) == 3:
return self.hashboards[1].chips
return 0
@center_chips.setter
def center_chips(self, val):
pass
@property
def right_chips(self): # noqa - Skip PyCharm inspection
if len(self.hashboards) == 2:
return self.hashboards[1].chips
if len(self.hashboards) == 3:
return self.hashboards[2].chips
return 0
@right_chips.setter
def right_chips(self, val):
pass
@property
def left_board_hashrate(self): # noqa - Skip PyCharm inspection
if len(self.hashboards) in [2, 3]:
return self.hashboards[0].hashrate
return 0
@left_board_hashrate.setter
def left_board_hashrate(self, val):
pass
@property
def center_board_hashrate(self): # noqa - Skip PyCharm inspection
if len(self.hashboards) == 1:
return self.hashboards[0].hashrate
if len(self.hashboards) == 3:
return self.hashboards[1].hashrate
return 0
@center_board_hashrate.setter
def center_board_hashrate(self, val):
pass
@property
def right_board_hashrate(self): # noqa - Skip PyCharm inspection
if len(self.hashboards) == 2:
return self.hashboards[1].hashrate
if len(self.hashboards) == 3:
return self.hashboards[2].hashrate
return 0
@right_board_hashrate.setter
def right_board_hashrate(self, val):
pass
@property
def left_board_temp(self): # noqa - Skip PyCharm inspection
if len(self.hashboards) in [2, 3]:
return self.hashboards[0].temp
return 0
@left_board_temp.setter
def left_board_temp(self, val):
pass
@property
def center_board_temp(self): # noqa - Skip PyCharm inspection
if len(self.hashboards) == 1:
return self.hashboards[0].temp
if len(self.hashboards) == 3:
return self.hashboards[1].temp
return 0
@center_board_temp.setter
def center_board_temp(self, val):
pass
@property
def right_board_temp(self): # noqa - Skip PyCharm inspection
if len(self.hashboards) == 2:
return self.hashboards[1].temp
if len(self.hashboards) == 3:
return self.hashboards[2].temp
return 0
@right_board_temp.setter
def right_board_temp(self, val):
pass
@property
def left_board_chip_temp(self): # noqa - Skip PyCharm inspection
if len(self.hashboards) in [2, 3]:
return self.hashboards[0].chip_temp
return 0
@left_board_chip_temp.setter
def left_board_chip_temp(self, val):
pass
@property
def center_board_chip_temp(self): # noqa - Skip PyCharm inspection
if len(self.hashboards) == 1:
return self.hashboards[0].chip_temp
if len(self.hashboards) == 3:
return self.hashboards[1].chip_temp
return 0
@center_board_chip_temp.setter
def center_board_chip_temp(self, val):
pass
@property
def right_board_chip_temp(self): # noqa - Skip PyCharm inspection
if len(self.hashboards) == 2:
return self.hashboards[1].chip_temp
if len(self.hashboards) == 3:
return self.hashboards[2].chip_temp
return 0
@right_board_chip_temp.setter
def right_board_chip_temp(self, val):
pass
@property
def nominal(self): # noqa - Skip PyCharm inspection
return self.ideal_chips == self.total_chips
@nominal.setter
def nominal(self, val):
pass
@property
def percent_ideal(self): # noqa - Skip PyCharm inspection
return round((self.total_chips / self.ideal_chips) * 100)
@percent_ideal.setter
def percent_ideal(self, val):
pass
@property
def temperature_avg(self): # noqa - Skip PyCharm inspection
total_temp = 0
temp_count = 0
for hb in self.hashboards:
if hb.temp and not hb.temp == -1:
total_temp += hb.temp
temp_count += 1
if not temp_count > 0:
return 0
return round(total_temp / temp_count)
@temperature_avg.setter
def temperature_avg(self, val):
pass
@property
def efficiency(self): # noqa - Skip PyCharm inspection
if self.hashrate == 0:
return 0
return round(self.wattage / self.hashrate)
@efficiency.setter
def efficiency(self, val):
pass
def asdict(self) -> dict:
"""Get this dataclass as a dictionary.
Returns:
A dictionary version of this class.
"""
logging.debug(f"MinerData - (To Dict) - Dumping Dict data")
return asdict(self)
def as_json(self) -> str:
"""Get this dataclass as JSON.
Returns:
A JSON version of this class.
"""
logging.debug(f"MinerData - (To JSON) - Dumping JSON data")
data = self.asdict()
data["datetime"] = str(int(time.mktime(data["datetime"].timetuple())))
return json.dumps(data)
def as_csv(self) -> str:
"""Get this dataclass as CSV.
Returns:
A CSV version of this class with no headers.
"""
logging.debug(f"MinerData - (To CSV) - Dumping CSV data")
data = self.asdict()
data["datetime"] = str(int(time.mktime(data["datetime"].timetuple())))
errs = []
for error in data["errors"]:
errs.append(error["error_message"])
data["errors"] = "; ".join(errs)
data_list = [str(data[item]) for item in data]
return ",".join(data_list)
def as_influxdb(self, measurement_name: str = "miner_data") -> str:
"""Get this dataclass as [influxdb line protocol](https://docs.influxdata.com/influxdb/v2.4/reference/syntax/line-protocol/).
Parameters:
measurement_name: The name of the measurement to insert into in influxdb.
Returns:
A influxdb line protocol version of this class.
"""
logging.debug(f"MinerData - (To InfluxDB) - Dumping InfluxDB data")
tag_data = [measurement_name]
field_data = []
tags = ["ip", "mac", "model", "hostname"]
for attribute in self:
if attribute in tags:
escaped_data = self[attribute].replace(" ", "\\ ")
tag_data.append(f"{attribute}={escaped_data}")
continue
if isinstance(self[attribute], str):
field_data.append(f'{attribute}="{self[attribute]}"')
continue
if isinstance(self[attribute], bool):
field_data.append(f"{attribute}={str(self[attribute]).lower()}")
continue
if isinstance(self[attribute], int):
field_data.append(f"{attribute}={self[attribute]}")
continue
if isinstance(self[attribute], float):
field_data.append(f"{attribute}={self[attribute]}")
continue
if attribute == "fault_light" and not self[attribute]:
field_data.append(f"{attribute}=false")
continue
if attribute == "errors":
for idx, item in enumerate(self[attribute]):
field_data.append(f'error_{idx+1}="{item.error_message}"')
tags_str = ",".join(tag_data)
field_str = ",".join(field_data)
timestamp = str(int(time.mktime(self.datetime.timetuple()) * 1e9))
return " ".join([tags_str, field_str, timestamp])