"""Pipeline module."""
from dataclasses import dataclass, field
from typing import Any, Dict, Optional
from pepperpy.core import PepperpyError
from pepperpy.module import BaseModule, ModuleConfig
[docs]
class PipelineError(PepperpyError):
"""Pipeline error."""
def __init__(
self,
message: str,
details: Optional[Dict[str, Any]] = None,
cause: Optional[Exception] = None,
) -> None:
super().__init__(message, details, cause)
[docs]
@dataclass
class PipelineConfig(ModuleConfig):
"""Pipeline configuration."""
name: str = "pipeline_manager"
metadata: Dict[str, Any] = field(default_factory=dict)
[docs]
class PipelineManager(BaseModule[PipelineConfig]):
"""Pipeline manager."""
[docs]
def __init__(self, config: Optional[PipelineConfig] = None) -> None:
"""Initialize pipeline manager.
Args:
config: Pipeline configuration
"""
super().__init__(config or PipelineConfig())
def _ensure_initialized(self) -> None:
"""Ensure manager is initialized.
Raises:
PipelineError: If manager is not initialized
"""
if not self.is_initialized:
raise PipelineError(
"Pipeline manager is not initialized",
{"manager_name": self.config.name},
)
async def _setup(self) -> None:
"""Set up pipeline manager."""
pass
async def _teardown(self) -> None:
"""Clean up pipeline manager."""
pass
[docs]
def create_pipeline(
self,
name: str,
steps: Dict[str, Any],
metadata: Optional[Dict[str, Any]] = None,
) -> None:
"""Create pipeline.
Args:
name: Pipeline name
steps: Pipeline steps
metadata: Pipeline metadata
Raises:
PipelineError: If pipeline cannot be created
"""
self._ensure_initialized()
# Implement pipeline creation logic here
pass
[docs]
def delete_pipeline(self, name: str) -> None:
"""Delete pipeline.
Args:
name: Pipeline name
Raises:
PipelineError: If pipeline cannot be deleted
"""
self._ensure_initialized()
# Implement pipeline deletion logic here
pass
[docs]
def execute_pipeline(
self,
name: str,
input_data: Dict[str, Any],
metadata: Optional[Dict[str, Any]] = None,
) -> Dict[str, Any]:
"""Execute pipeline.
Args:
name: Pipeline name
input_data: Pipeline input data
metadata: Pipeline metadata
Returns:
Pipeline output data
Raises:
PipelineError: If pipeline cannot be executed
"""
self._ensure_initialized()
# Implement pipeline execution logic here
return {}
__all__ = ["PipelineConfig", "PipelineError", "PipelineManager"]