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"""Provide a model for the log config."""
from __future__ import annotations
from dataclasses import dataclass
from typing import TypedDict, cast
from ..const import LogLevel
class LogConfigDataType(TypedDict, total=False):
"""Represent a log config data dict type."""
enabled: bool
level: str
logToFile: bool
filename: str
forceConsole: bool
@dataclass
class LogConfig:
"""Represent a log config dict type."""
# https://github.com/zwave-js/node-zwave-js/blob/master/packages/core/src/log/shared.ts#L85
# Must include at least one key
enabled: bool | None = None
level: LogLevel | None = None
log_to_file: bool | None = None
filename: str | None = None
force_console: bool | None = None
def to_dict(self) -> LogConfigDataType:
"""Return LogConfigDataType dict from self."""
data = {
"enabled": self.enabled,
"level": self.level.value if self.level else None,
"logToFile": self.log_to_file,
"filename": self.filename,
"forceConsole": self.force_console,
}
return cast(LogConfigDataType, {k: v for k, v in data.items() if v is not None})
@classmethod
def from_dict(cls, data: LogConfigDataType) -> LogConfig:
"""Return LogConfig from LogConfigDataType dict."""
return cls(
data.get("enabled"),
LogLevel(data["level"]) if "level" in data else None,
data.get("logToFile"),
data.get("filename"),
data.get("forceConsole"),
)
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