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"""
BackgroundFX Pro API Module.
Provides high-level interfaces for processing, streaming, and serving.
"""
from .pipeline import (
ProcessingPipeline,
PipelineConfig,
PipelineResult,
ProcessingMode,
PipelineStage
)
from .video_processor import (
VideoProcessorAPI,
VideoStats,
StreamConfig,
VideoStreamMode,
OutputFormat
)
from .batch_processor import (
BatchProcessor,
BatchConfig,
BatchItem,
BatchReport,
BatchPriority,
FileType
)
from .api_server import (
app,
ServerConfig,
ProcessingRequest,
ImageProcessingRequest,
VideoProcessingRequest,
BatchProcessingRequest,
StreamingRequest,
ProcessingResponse,
JobStatus,
JobManager
)
from .websocket import (
WebSocketHandler,
WebSocketServer,
WSMessage,
MessageType,
ClientSession,
SessionManager,
FrameProcessor,
start_standalone_server
)
__all__ = [
# Pipeline
'ProcessingPipeline',
'PipelineConfig',
'PipelineResult',
'ProcessingMode',
'PipelineStage',
# Video Processor
'VideoProcessorAPI',
'VideoStats',
'StreamConfig',
'VideoStreamMode',
'OutputFormat',
# Batch Processor
'BatchProcessor',
'BatchConfig',
'BatchItem',
'BatchReport',
'BatchPriority',
'FileType',
# API Server
'app',
'ServerConfig',
'ProcessingRequest',
'ImageProcessingRequest',
'VideoProcessingRequest',
'BatchProcessingRequest',
'StreamingRequest',
'ProcessingResponse',
'JobStatus',
'JobManager',
# WebSocket
'WebSocketHandler',
'WebSocketServer',
'WSMessage',
'MessageType',
'ClientSession',
'SessionManager',
'FrameProcessor',
'start_standalone_server'
]
# Version info
__version__ = '1.0.0'
# Quick start functions
def start_api_server(host: str = "0.0.0.0", port: int = 8000, **kwargs):
"""Quick start the REST API server."""
import uvicorn
from .api_server import app, config
config.HOST = host
config.PORT = port
for key, value in kwargs.items():
if hasattr(config, key.upper()):
setattr(config, key.upper(), value)
uvicorn.run(app, host=host, port=port)
def start_websocket_server(host: str = "0.0.0.0", port: int = 8001):
"""Quick start the WebSocket server."""
import asyncio
asyncio.run(start_standalone_server(host, port))
def create_pipeline(**kwargs) -> ProcessingPipeline:
"""Create a configured processing pipeline."""
config = PipelineConfig(**kwargs)
return ProcessingPipeline(config)
def create_batch_processor(**kwargs) -> BatchProcessor:
"""Create a configured batch processor."""
config = BatchConfig(**kwargs)
return BatchProcessor(config) |