抽象pipeline逻辑

This commit is contained in:
puke
2025-11-04 11:23:46 +08:00
parent b475090880
commit 22c46cf2c5
9 changed files with 1345 additions and 13 deletions

View File

@@ -12,11 +12,13 @@ from pixelle_video.config import config_manager
from pixelle_video.services.llm_service import LLMService
from pixelle_video.services.tts_service import TTSService
from pixelle_video.services.image import ImageService
from pixelle_video.services.video import VideoService
from pixelle_video.services.narration_generator import NarrationGeneratorService
from pixelle_video.services.image_prompt_generator import ImagePromptGeneratorService
from pixelle_video.services.title_generator import TitleGeneratorService
from pixelle_video.services.frame_processor import FrameProcessor
from pixelle_video.services.video_generator import VideoGeneratorService
from pixelle_video.pipelines.standard import StandardPipeline
from pixelle_video.pipelines.custom import CustomPipeline
class PixelleVideoCore:
@@ -45,7 +47,11 @@ class PixelleVideoCore:
├── config (configuration)
├── llm (LLM service - direct OpenAI SDK)
├── tts (TTS service - ComfyKit workflows)
── image (Image service - ComfyKit workflows)
── image (Image service - ComfyKit workflows)
└── pipelines (video generation pipelines)
├── standard (standard workflow)
├── custom (custom workflow template)
└── ... (extensible)
"""
def __init__(self, config_path: str = "config.yaml"):
@@ -63,6 +69,7 @@ class PixelleVideoCore:
self.llm: Optional[LLMService] = None
self.tts: Optional[TTSService] = None
self.image: Optional[ImageService] = None
self.video: Optional[VideoService] = None
# Content generation services
self.narration_generator: Optional[NarrationGeneratorService] = None
@@ -72,8 +79,11 @@ class PixelleVideoCore:
# Frame processing services
self.frame_processor: Optional[FrameProcessor] = None
# Video generation service (named as verb for direct calling)
self.generate_video: Optional[VideoGeneratorService] = None
# Video generation pipelines (dictionary of pipeline_name -> pipeline_instance)
self.pipelines = {}
# Default pipeline callable (for backward compatibility)
self.generate_video = None
async def initialize(self):
"""
@@ -90,10 +100,11 @@ class PixelleVideoCore:
logger.info("🚀 Initializing Pixelle-Video...")
# 1. Initialize core services (no capability layer)
# 1. Initialize core services
self.llm = LLMService(self.config)
self.tts = TTSService(self.config)
self.image = ImageService(self.config)
self.video = VideoService()
# 2. Initialize content generation services
self.narration_generator = NarrationGeneratorService(self)
@@ -103,12 +114,67 @@ class PixelleVideoCore:
# 3. Initialize frame processing services
self.frame_processor = FrameProcessor(self)
# 4. Initialize video generation service
self.generate_video = VideoGeneratorService(self)
# 4. Register video generation pipelines
self.pipelines = {
"standard": StandardPipeline(self),
"custom": CustomPipeline(self),
}
logger.info(f"📹 Registered pipelines: {', '.join(self.pipelines.keys())}")
# 5. Set default pipeline callable (for backward compatibility)
self.generate_video = self._create_generate_video_wrapper()
self._initialized = True
logger.info("✅ Pixelle-Video initialized successfully\n")
def _create_generate_video_wrapper(self):
"""
Create a wrapper function for generate_video that supports pipeline selection
This maintains backward compatibility while adding pipeline support.
"""
async def generate_video_wrapper(
text: str,
pipeline: str = "standard",
**kwargs
):
"""
Generate video using specified pipeline
Args:
text: Input text
pipeline: Pipeline name ("standard", "book_summary", etc.)
**kwargs: Pipeline-specific parameters
Returns:
VideoGenerationResult
Examples:
# Use standard pipeline (default)
result = await pixelle_video.generate_video(
text="如何提高学习效率",
n_scenes=5
)
# Use custom pipeline
result = await pixelle_video.generate_video(
text=your_content,
pipeline="custom",
custom_param_example="custom_value"
)
"""
if pipeline not in self.pipelines:
available = ", ".join(self.pipelines.keys())
raise ValueError(
f"Unknown pipeline: '{pipeline}'. "
f"Available pipelines: {available}"
)
pipeline_instance = self.pipelines[pipeline]
return await pipeline_instance(text=text, **kwargs)
return generate_video_wrapper
@property
def project_name(self) -> str:
"""Get project name from config"""
@@ -117,7 +183,8 @@ class PixelleVideoCore:
def __repr__(self) -> str:
"""String representation"""
status = "initialized" if self._initialized else "not initialized"
return f"<PixelleVideoCore project={self.project_name!r} status={status}>"
pipelines = f"pipelines={list(self.pipelines.keys())}" if self._initialized else ""
return f"<PixelleVideoCore project={self.project_name!r} status={status} {pipelines}>"
# Global instance