Files
Mainline/engine/pipeline/presets.py
David Gwilliam 7eaa441574 feat: Add fast startup fetch and background caching
- Add  for quick startup using first N feeds
- Add background thread for full fetch and caching
- Update  to use fast fetch
- Update docs and skills
2026-03-19 22:38:55 -07:00

238 lines
6.7 KiB
Python

"""
Pipeline presets - Pre-configured pipeline configurations.
Provides PipelinePreset as a unified preset system.
Presets can be loaded from TOML files (presets.toml) or defined in code.
Loading order:
1. Built-in presets.toml in the package
2. User config ~/.config/mainline/presets.toml
3. Local ./presets.toml (overrides earlier)
"""
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any
from engine.display import BorderMode
from engine.pipeline.params import PipelineParams
if TYPE_CHECKING:
from engine.pipeline.controller import PipelineConfig
def _load_toml_presets() -> dict[str, Any]:
"""Load presets from TOML file."""
try:
from engine.pipeline.preset_loader import load_presets
return load_presets()
except Exception:
return {}
_YAML_PRESETS = _load_toml_presets()
@dataclass
class PipelinePreset:
"""Pre-configured pipeline with stages and animation.
A PipelinePreset packages:
- Initial params: Starting configuration
- Stages: List of stage configurations to create
This is the new unified preset that works with the Pipeline class.
"""
name: str
description: str = ""
source: str = "headlines"
display: str = "terminal"
camera: str = "scroll"
effects: list[str] = field(default_factory=list)
border: bool | BorderMode = (
False # Border mode: False=off, True=simple, BorderMode.UI for panel
)
# Extended fields for fine-tuning
camera_speed: float = 1.0 # Camera movement speed
viewport_width: int = 80 # Viewport width in columns
viewport_height: int = 24 # Viewport height in rows
source_items: list[dict[str, Any]] | None = None # For ListDataSource
enable_metrics: bool = True # Enable performance metrics collection
def to_params(self) -> PipelineParams:
"""Convert to PipelineParams (runtime configuration)."""
from engine.display import BorderMode
params = PipelineParams()
params.source = self.source
params.display = self.display
params.border = (
self.border
if isinstance(self.border, bool)
else BorderMode.UI
if self.border == BorderMode.UI
else False
)
params.camera_mode = self.camera
params.effect_order = self.effects.copy()
params.camera_speed = self.camera_speed
# Note: viewport_width/height are read from PipelinePreset directly
# in pipeline_runner.py, not from PipelineParams
return params
def to_config(self) -> "PipelineConfig":
"""Convert to PipelineConfig (static pipeline construction config).
PipelineConfig is used once at pipeline initialization and contains
the core settings that don't change during execution.
"""
from engine.pipeline.controller import PipelineConfig
return PipelineConfig(
source=self.source,
display=self.display,
camera=self.camera,
effects=self.effects.copy(),
enable_metrics=self.enable_metrics,
)
@classmethod
def from_yaml(cls, name: str, data: dict[str, Any]) -> "PipelinePreset":
"""Create a PipelinePreset from YAML data."""
return cls(
name=name,
description=data.get("description", ""),
source=data.get("source", "headlines"),
display=data.get("display", "terminal"),
camera=data.get("camera", "vertical"),
effects=data.get("effects", []),
border=data.get("border", False),
camera_speed=data.get("camera_speed", 1.0),
viewport_width=data.get("viewport_width", 80),
viewport_height=data.get("viewport_height", 24),
source_items=data.get("source_items"),
enable_metrics=data.get("enable_metrics", True),
)
# Built-in presets
DEMO_PRESET = PipelinePreset(
name="demo",
description="Demo mode with effect cycling and camera modes",
source="headlines",
display="pygame",
camera="scroll",
effects=["noise", "fade", "glitch", "firehose"],
)
UI_PRESET = PipelinePreset(
name="ui",
description="Interactive UI mode with right-side control panel",
source="fixture",
display="pygame",
camera="scroll",
effects=["noise", "fade", "glitch"],
border=BorderMode.UI,
)
POETRY_PRESET = PipelinePreset(
name="poetry",
description="Poetry feed with subtle effects",
source="poetry",
display="pygame",
camera="scroll",
effects=["fade"],
)
PIPELINE_VIZ_PRESET = PipelinePreset(
name="pipeline",
description="Pipeline visualization mode",
source="pipeline",
display="terminal",
camera="trace",
effects=[],
)
WEBSOCKET_PRESET = PipelinePreset(
name="websocket",
description="WebSocket display mode",
source="headlines",
display="websocket",
camera="scroll",
effects=["noise", "fade", "glitch"],
)
FIREHOSE_PRESET = PipelinePreset(
name="firehose",
description="High-speed firehose mode",
source="headlines",
display="pygame",
camera="scroll",
effects=["noise", "fade", "glitch", "firehose"],
)
FIXTURE_PRESET = PipelinePreset(
name="fixture",
description="Use cached headline fixtures",
source="fixture",
display="pygame",
camera="scroll",
effects=["noise", "fade"],
border=False,
)
# Build presets from YAML data
def _build_presets() -> dict[str, PipelinePreset]:
"""Build preset dictionary from all sources."""
result = {}
# Add YAML presets
yaml_presets = _YAML_PRESETS.get("presets", {})
for name, data in yaml_presets.items():
result[name] = PipelinePreset.from_yaml(name, data)
# Add built-in presets as fallback (if not in YAML)
builtins = {
"demo": DEMO_PRESET,
"poetry": POETRY_PRESET,
"pipeline": PIPELINE_VIZ_PRESET,
"websocket": WEBSOCKET_PRESET,
"firehose": FIREHOSE_PRESET,
"ui": UI_PRESET,
"fixture": FIXTURE_PRESET,
}
for name, preset in builtins.items():
if name not in result:
result[name] = preset
return result
PRESETS: dict[str, PipelinePreset] = _build_presets()
def get_preset(name: str) -> PipelinePreset | None:
"""Get a preset by name."""
return PRESETS.get(name)
def list_presets() -> list[str]:
"""List all available preset names."""
return list(PRESETS.keys())
def create_preset_from_params(
params: PipelineParams, name: str = "custom"
) -> PipelinePreset:
"""Create a preset from PipelineParams."""
return PipelinePreset(
name=name,
source=params.source,
display=params.display,
camera=params.camera_mode,
effects=params.effect_order.copy() if hasattr(params, "effect_order") else [],
)