exampel_compose.py

from typing import Dict, List, Any, Tuple
import re
import json


def compose(data: Dict[str, Any]) -> Tuple[str, str, str]:

    def count_words(text: str) -> int:
        clean_text = re.sub(r'[*_`#\[\]()]', '', text)
        return len(clean_text.split())

    def format_list(items: List[str]) -> str:
        return "\n".join(f"- {item}" for item in items)

    def format_embedding_space(embedding: Dict[str, int]) -> str:
        return ", ".join(f"{k}: {v}" for k, v in embedding.items())

    def format_narrative_focuses(chapter: dict[str, Any]) -> str:
        return "; ".join(set(scene['narrative_focus'] for scene in chapter['scene_breakdown']))

    def round_to_nice(n: int) -> int:
        """Round word count to nice numbers."""
        if n < 100:
            return round(n / 10) * 10
        elif n < 1000:
            return round(n / 50) * 50
        elif n < 10000:
            return round(n / 100) * 100
        else:
            return round(n / 500) * 500

    # First string: User prompt
    user_prompt = data.get("use_prompt", "")

    # Second string: Metadata (everything before book chapters)
    thinking_parts = []

    # 1. Book Highlight
    thinking_parts.append(f"## Book Highlight\n{data['book_highlight']}\n")

    # 2. Book Title
    thinking_parts.append(f"## Book Title\n{data['book_title']}\n")

    # 3. Book Tags
    thinking_parts.append(f"## Book Tags\n{format_list(data['book_tags'])}\n")

    # 4. Book Archetype
    thinking_parts.append(f"## Book Archetype\n{data['book_archetype']}\n")

    # 5. World Rules
    thinking_parts.append(f"## World Rules\n{format_list(data['world_rules'])}\n")

    # 6. Story Arcs
    thinking_parts.append("## Story Arcs")
    for i, arc in enumerate(data["story_arcs"], 1):
        thinking_parts.append(f"### Arc {i}: {arc['arc_name']}")
        thinking_parts.append(f"{format_list(arc['arc_summary'])}\n")

    # 7. Character Archetypes
    thinking_parts.append("## Character Archetypes")
    for character, traits in data["character_archetypes"].items():
        thinking_parts.append(f"### {character}")
        thinking_parts.append(f"{format_list(traits)}\n")

    # 8. Writing Style (book level only)
    thinking_parts.append(f"## Writing Style\n{format_list(data['writing_style'])}\n")

    # 9. Chapters (overview with word count, embedding_space, chapter_summary)
    thinking_parts.append("## Chapters")
    for chapter_name, chapter_data in data["book_chapters"].items():
        word_count = round_to_nice(count_words(chapter_data.get("chapter", "")))
        thinking_parts.append(f"### {chapter_name}")
        thinking_parts.append(f"**Word Count:** {word_count}")
        thinking_parts.append(f"**Embedding Space:** {format_embedding_space(chapter_data['embedding_space'])}")
        thinking_parts.append(f"**Narrative Focuses:** {format_narrative_focuses(chapter_data)}")
        thinking_parts.append("**Chapter Summary:**")
        thinking_parts.append(f"{format_list(chapter_data['chapter_summary'])}\n")

    # 10. Book Characters
    thinking_parts.append("### Main Characters")
    for character in data["book_characters"]["main_characters"]:
        thinking_parts.append(f"#### {character['name']}")
        thinking_parts.append(f"{format_list(character['description'])}\n")

    thinking_parts.append("### Side Characters")
    for character in data["book_characters"]["side_characters"]:
        thinking_parts.append(f"#### {character['name']}")
        thinking_parts.append(f"{format_list(character['description'])}\n")

    # 11. Chapters with Scenes
    thinking_parts.append("## Scene Breakdown")
    for chapter_name, chapter_data in data["book_chapters"].items():
        thinking_parts.append(f"### {chapter_name}")

        for i, scene in enumerate(chapter_data["scene_breakdown"], 1):
            thinking_parts.append(f"#### Scene {i}: {scene['scene_name']}")
            rounded_word_count = round_to_nice(scene['word_count'])
            thinking_parts.append(f"**Word Count:** {rounded_word_count}")
            thinking_parts.append(f"**Embedding Space:** {format_embedding_space(scene['embedding_space'])}")
            thinking_parts.append(f"**Narrative Focus:** {scene['narrative_focus']}")
            thinking_parts.append(f"**Narrative Perspectiv:** {scene['narrative_perspective']}")
            thinking_parts.append("**Scene Summary:**")
            thinking_parts.append(f"{format_list(scene['scene_summary_short'])}\n")

    # Third string: Book chapters (everything involving book_chapters data)
    chapters_parts = []

    # 12. Chapters with Full Text
    for chapter_name, chapter_data in data["book_chapters"].items():
        chapters_parts.append(f"### {chapter_name}")
        chapters_parts.append(f"```\n{chapter_data['chapter']}\n```\n")

    return (
        user_prompt,
        "\n".join(thinking_parts),
        "\n".join(chapters_parts)
    )