pyrdfrules.config 

 1import logging
 2from pathlib import Path
 3from pydantic import BaseModel, PositiveInt
 4
 5
 6class Config(BaseModel):
 7    """
 8    Configuration class for the instance.
 9    """
10    
11    task_update_interval_ms: PositiveInt = 1000
12    """Update interval for the task status in milliseconds.
13    
14    This affects how often the task status is updated.
15    """
16    
17    task_timeout_ms: int = 0
18    """Timeout for the task in milliseconds. Zero means no timeout.
19    """
20    
21    log_output: bool = True
22    """Logs output to the console.
23    """
24    
25    log_level: int = logging.INFO
26    """Logging level.
27    """
28    
29    workspace_path: Path|None = None
30    """Path to the workspace directory.
31    Applicable only to local instances of RDFRules.
32    
33    If empty, will default to the install directory of RDFRules/workspace.
34    """
class Config(pydantic.main.BaseModel): 
 7class Config(BaseModel):
 8    """
 9    Configuration class for the instance.
10    """
11    
12    task_update_interval_ms: PositiveInt = 1000
13    """Update interval for the task status in milliseconds.
14    
15    This affects how often the task status is updated.
16    """
17    
18    task_timeout_ms: int = 0
19    """Timeout for the task in milliseconds. Zero means no timeout.
20    """
21    
22    log_output: bool = True
23    """Logs output to the console.
24    """
25    
26    log_level: int = logging.INFO
27    """Logging level.
28    """
29    
30    workspace_path: Path|None = None
31    """Path to the workspace directory.
32    Applicable only to local instances of RDFRules.
33    
34    If empty, will default to the install directory of RDFRules/workspace.
35    """

Configuration class for the instance.

task_update_interval_ms: typing.Annotated[int, Gt(gt=0)]

Update interval for the task status in milliseconds.

This affects how often the task status is updated.

task_timeout_ms: int

Timeout for the task in milliseconds. Zero means no timeout.

log_output: bool

Logs output to the console.

log_level: int

Logging level.

workspace_path: pathlib.Path | None

Path to the workspace directory. Applicable only to local instances of RDFRules.

If empty, will default to the install directory of RDFRules/workspace.

model_config = {}
model_fields = {'task_update_interval_ms': FieldInfo(annotation=int, required=False, default=1000, metadata=[Gt(gt=0)]), 'task_timeout_ms': FieldInfo(annotation=int, required=False, default=0), 'log_output': FieldInfo(annotation=bool, required=False, default=True), 'log_level': FieldInfo(annotation=int, required=False, default=20), 'workspace_path': FieldInfo(annotation=Union[Path, NoneType], required=False)}
model_computed_fields = {}