项目重命名: ReelForge => Pixelle-Video
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pixelle_video/prompts/README.md
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pixelle_video/prompts/README.md
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# Prompts Directory
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Centralized prompt management for all LLM interactions in Pixelle-Video.
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## Structure
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Each prompt is in its own file for easy maintenance and modification:
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```
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prompts/
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├── __init__.py # Exports all builder functions
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├── topic_narration.py # Generate narrations from topic
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├── content_narration.py # Extract/refine narrations from content
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├── script_split.py # Split fixed script into segments
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├── title_generation.py # Generate video title from content
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├── image_generation.py # Generate image prompts from narrations
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└── style_conversion.py # Convert style description to image prompt
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```
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## Usage
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All builder functions are exported from the package root:
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```python
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from pixelle_video.prompts import (
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build_topic_narration_prompt,
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build_content_narration_prompt,
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build_script_split_prompt,
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build_title_generation_prompt,
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build_image_prompt_prompt,
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build_style_conversion_prompt,
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)
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```
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## Prompt Files
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### Narration Prompts
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1. **topic_narration.py**
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- Purpose: Generate engaging narrations from a topic/theme
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- Input: topic, n_storyboard, min_words, max_words
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- Output: JSON with narrations array
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2. **content_narration.py**
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- Purpose: Extract and refine narrations from user content
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- Input: content, n_storyboard, min_words, max_words
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- Output: JSON with narrations array
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3. **script_split.py**
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- Purpose: Split fixed script into natural segments (no modification)
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- Input: script, min_words (reference), max_words (reference)
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- Output: JSON with narrations array
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4. **title_generation.py**
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- Purpose: Generate short, attractive video title
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- Input: content, max_length
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- Output: Plain text title
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### Image Prompts
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5. **image_generation.py**
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- Purpose: Generate English image prompts from narrations
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- Input: narrations, min_words, max_words, style_preset/style_description
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- Output: JSON with image_prompts array
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- Contains: IMAGE_STYLE_PRESETS dictionary
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6. **style_conversion.py**
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- Purpose: Convert custom style description to English image prompt
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- Input: description (any language)
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- Output: Plain text English image prompt
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## Modifying Prompts
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To modify a prompt:
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1. Locate the relevant file (e.g., `topic_narration.py`)
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2. Edit the prompt constant (e.g., `TOPIC_NARRATION_PROMPT`)
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3. Changes take effect immediately (no need to modify service code)
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## Adding New Prompts
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To add a new prompt:
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1. Create a new file (e.g., `my_new_prompt.py`)
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2. Define the prompt constant and builder function
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3. Export the builder function in `__init__.py`
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4. Use it in service code:
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```python
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from pixelle_video.prompts import build_my_new_prompt
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```
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## Design Principles
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- **One File, One Prompt**: Each prompt has its own file for clarity
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- **Builder Functions**: Each file exports a `build_*_prompt()` function
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- **Centralized Exports**: All builders are exported from `__init__.py`
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- **Consistent Format**: All prompts follow similar structure and style
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- **Easy Maintenance**: Modify prompts without touching service code
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