feat(pipeline): add unified pipeline architecture with Stage abstraction

- Add engine/pipeline/ module with Stage ABC, PipelineContext, PipelineParams
- Stage provides unified interface for sources, effects, displays, cameras
- Pipeline class handles DAG-based execution with dependency resolution
- PipelinePreset for pre-configured pipelines (demo, poetry, pipeline, etc.)
- Add PipelineParams as params layer for animation-driven config
- Add StageRegistry for unified stage registration
- Add sources_v2.py with DataSource.is_dynamic property
- Add animation.py with Preset and AnimationController
- Skip ntfy integration tests by default (require -m integration)
- Skip e2e tests by default (require -m e2e)
- Update pipeline.py with comprehensive introspection methods
This commit is contained in:
2026-03-16 03:11:24 -07:00
parent 996ba14b1d
commit bcb4ef0cfe
17 changed files with 2356 additions and 48 deletions

214
engine/sources_v2.py Normal file
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"""
Data source abstraction - Treat data sources as first-class citizens in the pipeline.
Each data source implements a common interface:
- name: Display name for the source
- fetch(): Fetch fresh data
- stream(): Stream data continuously (optional)
- get_items(): Get current items
"""
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Any
@dataclass
class SourceItem:
"""A single item from a data source."""
content: str
source: str
timestamp: str
metadata: dict[str, Any] | None = None
class DataSource(ABC):
"""Abstract base class for data sources.
Static sources: Data fetched once and cached. Safe to call fetch() multiple times.
Dynamic sources: Data changes over time. fetch() should be idempotent.
"""
@property
@abstractmethod
def name(self) -> str:
"""Display name for this source."""
...
@property
def is_dynamic(self) -> bool:
"""Whether this source updates dynamically while the app runs. Default False."""
return False
@abstractmethod
def fetch(self) -> list[SourceItem]:
"""Fetch fresh data from the source. Must be idempotent."""
...
def get_items(self) -> list[SourceItem]:
"""Get current items. Default implementation returns cached fetch results."""
if not hasattr(self, "_items") or self._items is None:
self._items = self.fetch()
return self._items
def refresh(self) -> list[SourceItem]:
"""Force refresh - clear cache and fetch fresh data."""
self._items = self.fetch()
return self._items
def stream(self):
"""Optional: Yield items continuously. Override for streaming sources."""
raise NotImplementedError
def __post_init__(self):
self._items: list[SourceItem] | None = None
class HeadlinesDataSource(DataSource):
"""Data source for RSS feed headlines."""
@property
def name(self) -> str:
return "headlines"
def fetch(self) -> list[SourceItem]:
from engine.fetch import fetch_all
items, _, _ = fetch_all()
return [SourceItem(content=t, source=s, timestamp=ts) for t, s, ts in items]
class PoetryDataSource(DataSource):
"""Data source for Poetry DB."""
@property
def name(self) -> str:
return "poetry"
def fetch(self) -> list[SourceItem]:
from engine.fetch import fetch_poetry
items, _, _ = fetch_poetry()
return [SourceItem(content=t, source=s, timestamp=ts) for t, s, ts in items]
class PipelineDataSource(DataSource):
"""Data source for pipeline visualization (demo mode). Dynamic - updates every frame."""
def __init__(self, viewport_width: int = 80, viewport_height: int = 24):
self.viewport_width = viewport_width
self.viewport_height = viewport_height
self.frame = 0
@property
def name(self) -> str:
return "pipeline"
@property
def is_dynamic(self) -> bool:
return True
def fetch(self) -> list[SourceItem]:
from engine.pipeline_viz import generate_large_network_viewport
buffer = generate_large_network_viewport(
self.viewport_width, self.viewport_height, self.frame
)
self.frame += 1
content = "\n".join(buffer)
return [
SourceItem(content=content, source="pipeline", timestamp=f"f{self.frame}")
]
def get_items(self) -> list[SourceItem]:
return self.fetch()
class CachedDataSource(DataSource):
"""Data source that wraps another source with caching."""
def __init__(self, source: DataSource, max_items: int = 100):
self.source = source
self.max_items = max_items
@property
def name(self) -> str:
return f"cached:{self.source.name}"
def fetch(self) -> list[SourceItem]:
items = self.source.fetch()
return items[: self.max_items]
def get_items(self) -> list[SourceItem]:
if not hasattr(self, "_items") or self._items is None:
self._items = self.fetch()
return self._items
class CompositeDataSource(DataSource):
"""Data source that combines multiple sources."""
def __init__(self, sources: list[DataSource]):
self.sources = sources
@property
def name(self) -> str:
return "composite"
def fetch(self) -> list[SourceItem]:
items = []
for source in self.sources:
items.extend(source.fetch())
return items
class SourceRegistry:
"""Registry for data sources."""
def __init__(self):
self._sources: dict[str, DataSource] = {}
self._default: str | None = None
def register(self, source: DataSource, default: bool = False) -> None:
self._sources[source.name] = source
if default or self._default is None:
self._default = source.name
def get(self, name: str) -> DataSource | None:
return self._sources.get(name)
def list_all(self) -> dict[str, DataSource]:
return dict(self._sources)
def default(self) -> DataSource | None:
if self._default:
return self._sources.get(self._default)
return None
def create_headlines(self) -> HeadlinesDataSource:
return HeadlinesDataSource()
def create_poetry(self) -> PoetryDataSource:
return PoetryDataSource()
def create_pipeline(self, width: int = 80, height: int = 24) -> PipelineDataSource:
return PipelineDataSource(width, height)
_global_registry: SourceRegistry | None = None
def get_source_registry() -> SourceRegistry:
global _global_registry
if _global_registry is None:
_global_registry = SourceRegistry()
return _global_registry
def init_default_sources() -> SourceRegistry:
"""Initialize the default source registry with standard sources."""
registry = get_source_registry()
registry.register(HeadlinesDataSource(), default=True)
registry.register(PoetryDataSource())
return registry