version: bump version number

pyasic/data/__init__.py

@@ -13,19 +13,20 @@
 #  See the License for the specific language governing permissions and         -
 #  limitations under the License.                                              -
 # ------------------------------------------------------------------------------
-
 import copy
 import time
 from datetime import datetime, timezone
 from typing import Any, List, Union
 
-from pydantic import BaseModel, Field, computed_field, field_serializer
+from pydantic import BaseModel, Field, computed_field
 
 from pyasic.config import MinerConfig
 from pyasic.config.mining import MiningModePowerTune
 from pyasic.data.pools import PoolMetrics, Scheme
 from pyasic.device.algorithm.hashrate import AlgoHashRateType
+from pyasic.device.algorithm.hashrate.base import GenericHashrate
 
+from ..device.algorithm.hashrate.unit.base import GenericUnit
 from .boards import HashBoard
 from .device import DeviceInfo
 from .error_codes import BraiinsOSError, InnosiliconError, WhatsminerError, X19Error
@@ -96,7 +97,7 @@ class MinerData(BaseModel):
     expected_fans: int | None = None
 
     # temperature
-    env_temp: int | None = None
+    env_temp: float | None = None
 
     # power
     wattage: int | None = None
@@ -135,9 +136,6 @@ class MinerData(BaseModel):
     def fields(cls):
         return list(cls.model_fields.keys())
 
-    def __post_init__(self):
-        self.raw_datetime = datetime.now(timezone.utc).astimezone()
-
     def get(self, __key: str, default: Any = None):
         try:
             val = self.__getitem__(__key)
@@ -198,35 +196,23 @@ class MinerData(BaseModel):
 
     @computed_field  # type: ignore[misc]
     @property
-    def hashrate(self) -> AlgoHashRateType:
+    def hashrate(self) -> AlgoHashRateType | None:
         if len(self.hashboards) > 0:
             hr_data = []
             for item in self.hashboards:
                 if item.hashrate is not None:
                     hr_data.append(item.hashrate)
             if len(hr_data) > 0:
-                return sum(hr_data, start=type(hr_data[0])(rate=0))
+                return sum(hr_data, start=self.hashboards[0].hashrate.__class__(rate=0))
         return self.raw_hashrate
 
-    @field_serializer("hashrate")
-    def serialize_hashrate(self, hashrate: AlgoHashRateType | None) -> float:
-        if hashrate is not None:
-            return float(hashrate)
-
-    @field_serializer("expected_hashrate")
-    def serialize_expected_hashrate(
-        self, expected_hashrate: AlgoHashRateType | None, _info
-    ) -> float:
-        if expected_hashrate is not None:
-            return float(expected_hashrate)
-
     @hashrate.setter
     def hashrate(self, val):
         self.raw_hashrate = val
 
     @computed_field  # type: ignore[misc]
     @property
-    def wattage_limit(self) -> int:
+    def wattage_limit(self) -> int | None:
         if self.config is not None:
             if isinstance(self.config.mining_mode, MiningModePowerTune):
                 return self.config.mining_mode.power

pyasic/data/boards.py

@@ -51,11 +51,6 @@ class HashBoard(BaseModel):
     active: bool | None = None
     voltage: float | None = None
 
-    @field_serializer("hashrate")
-    def serialize_hashrate(self, hashrate: AlgoHashRateType | None) -> float:
-        if hashrate is not None:
-            return float(hashrate)
-
     def get(self, __key: str, default: Any = None):
         try:
             val = self.__getitem__(__key)

pyasic/device/algorithm/hashrate/base.py

@@ -1,19 +1,42 @@
+from __future__ import annotations
+
 from abc import ABC, abstractmethod
 
-from pydantic import BaseModel
+from pydantic import BaseModel, field_serializer
 from typing_extensions import Self
 
-from .unit.base import AlgoHashRateUnitType
+from .unit.base import AlgoHashRateUnitType, GenericUnit
 
 
 class AlgoHashRateType(BaseModel, ABC):
     unit: AlgoHashRateUnitType
     rate: float
 
+    @field_serializer("unit")
+    def serialize_unit(self, unit: AlgoHashRateUnitType):
+        return unit.model_dump()
+
     @abstractmethod
     def into(self, other: "AlgoHashRateUnitType"):
         pass
 
+    def auto_unit(self):
+        if 1 < self.rate // int(self.unit.H) < 1000:
+            return self.into(self.unit.H)
+        if 1 < self.rate // int(self.unit.MH) < 1000:
+            return self.into(self.unit.MH)
+        if 1 < self.rate // int(self.unit.GH) < 1000:
+            return self.into(self.unit.GH)
+        if 1 < self.rate // int(self.unit.TH) < 1000:
+            return self.into(self.unit.TH)
+        if 1 < self.rate // int(self.unit.PH) < 1000:
+            return self.into(self.unit.PH)
+        if 1 < self.rate // int(self.unit.EH) < 1000:
+            return self.into(self.unit.EH)
+        if 1 < self.rate // int(self.unit.ZH) < 1000:
+            return self.into(self.unit.ZH)
+        return self
+
     def __float__(self):
         return float(self.rate)
 
@@ -27,36 +50,46 @@ class AlgoHashRateType(BaseModel, ABC):
         return round(self.rate, n)
 
     def __add__(self, other: Self | int | float) -> Self:
-        if isinstance(other, self.__class__):
+        if isinstance(other, AlgoHashRateType):
             return self.__class__(
                 rate=self.rate + other.into(self.unit).rate, unit=self.unit
             )
         return self.__class__(rate=self.rate + other, unit=self.unit)
 
     def __sub__(self, other: Self | int | float) -> Self:
-        if isinstance(other, self.__class__):
+        if isinstance(other, AlgoHashRateType):
             return self.__class__(
                 rate=self.rate - other.into(self.unit).rate, unit=self.unit
             )
         return self.__class__(rate=self.rate - other, unit=self.unit)
 
     def __truediv__(self, other: Self | int | float) -> Self:
-        if isinstance(other, self.__class__):
+        if isinstance(other, AlgoHashRateType):
             return self.__class__(
                 rate=self.rate / other.into(self.unit).rate, unit=self.unit
             )
         return self.__class__(rate=self.rate / other, unit=self.unit)
 
     def __floordiv__(self, other: Self | int | float) -> Self:
-        if isinstance(other, self.__class__):
+        if isinstance(other, AlgoHashRateType):
             return self.__class__(
                 rate=self.rate // other.into(self.unit).rate, unit=self.unit
             )
         return self.__class__(rate=self.rate // other, unit=self.unit)
 
     def __mul__(self, other: Self | int | float) -> Self:
-        if isinstance(other, self.__class__):
+        if isinstance(other, AlgoHashRateType):
             return self.__class__(
                 rate=self.rate * other.into(self.unit).rate, unit=self.unit
             )
         return self.__class__(rate=self.rate * other, unit=self.unit)
+
+
+class GenericHashrate(AlgoHashRateType):
+    rate: float = 0
+    unit: GenericUnit = GenericUnit.H
+
+    def into(self, other: GenericUnit):
+        return self.__class__(
+            rate=self.rate / (other.value / self.unit.value), unit=other
+        )

pyasic/device/algorithm/hashrate/unit/base.py

@@ -53,3 +53,19 @@ class AlgoHashRateUnitType(IntEnum):
 
     def __repr__(self):
         return str(self)
+
+    def model_dump(self):
+        return {"value": self.value, "suffix": str(self)}
+
+
+class GenericUnit(AlgoHashRateUnitType):
+    H = 1
+    KH = int(H) * 1000
+    MH = int(KH) * 1000
+    GH = int(MH) * 1000
+    TH = int(GH) * 1000
+    PH = int(TH) * 1000
+    EH = int(PH) * 1000
+    ZH = int(EH) * 1000
+
+    default = H

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "pyasic"
-version = "0.66.0"
+version = "0.67.0"
 description = "A simplified and standardized interface for Bitcoin ASICs."
 authors = ["UpstreamData <brett@upstreamdata.ca>"]
 repository = "https://github.com/UpstreamData/pyasic"