mrhavens
fe1e001878
- Stage 1: One sentence summary - Stage 2: One paragraph outline - Stage 3: Character sheets - Stage 4: Four-page outline - Stage 5: Detailed character charts - Stage 6: Scene list - Stage 7: Scene descriptions - Then: Style guide → Write chapters → Critique → Compile Full pre-writing workflow now wired up.
658 lines
22 KiB
Python
658 lines
22 KiB
Python
"""Main Opus Orchestrator - Snowflake Method Implementation.
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Full pipeline following the Snowflake Method for book writing:
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1. One sentence (concept)
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2. One paragraph (outline)
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3. Character sheets
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4. Four-page outline
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5. Detailed character charts
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6. Scene list
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7. Scene descriptions
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8. First draft
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"""
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import asyncio
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import os
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from pathlib import Path
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from typing import Any, Optional
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from dotenv import load_dotenv
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load_dotenv("/home/solaria/.openclaw/workspace/opus-orchestrator-ai/.env")
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from opus_orchestrator.agents.fiction import (
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ArchitectAgent,
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CharacterLeadAgent,
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EditorAgent,
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VoiceAgent,
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WorldsmithAgent,
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)
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from opus_orchestrator.agents.nonfiction import (
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AnalystAgent,
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FactCheckerAgent,
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NonfictionEditorAgent,
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NonfictionWriterAgent,
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ResearcherAgent,
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)
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from opus_orchestrator.config import OpusConfig, get_config
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from opus_orchestrator.schemas import (
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BookBlueprint,
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BookIntent,
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BookType,
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Chapter,
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ChapterBlueprint,
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ChapterCritique,
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ChapterDraft,
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Manuscript,
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RawContent,
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)
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from opus_orchestrator.state import OpusState
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class OpusOrchestrator:
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"""Main orchestrator implementing the Snowflake Method."""
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def __init__(
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self,
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repo_url: str | None = None,
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book_type: str = "fiction",
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genre: Optional[str] = None,
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target_audience: str = "general readers",
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intended_outcome: str = "complete novel",
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tone: Optional[str] = None,
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target_word_count: int = 80000,
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config: Optional[OpusConfig] = None,
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):
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"""Initialize the Opus Orchestrator with Snowflake Method."""
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self.config = config or get_config()
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if not self.config.agent.api_key:
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self.config.agent.api_key = os.environ.get("MINIMAX_API_KEY") or os.environ.get("OPENAI_API_KEY")
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self.book_type = BookType(book_type.lower())
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self.repo_url = repo_url
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self.intent = BookIntent(
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book_type=self.book_type,
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genre=genre,
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target_audience=target_audience,
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intended_outcome=intended_outcome,
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tone=tone,
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target_word_count=target_word_count,
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)
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self._init_agents()
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self.state: Optional[OpusState] = None
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# Snowflake method outputs
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self.one_sentence: str = ""
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self.one_paragraph: str = ""
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self.character_sheets: str = ""
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self.four_page_outline: str = ""
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self.character_charts: str = ""
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self.scene_list: str = ""
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self.scene_descriptions: str = ""
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self.style_guide: str = ""
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def _init_agents(self) -> None:
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"""Initialize agents based on book type."""
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if self.book_type == BookType.FICTION:
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self.agents = {
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"architect": ArchitectAgent(self.config.agent),
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"worldsmith": WorldsmithAgent(self.config.agent),
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"character_lead": CharacterLeadAgent(self.config.agent),
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"voice": VoiceAgent(self.config.agent),
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"editor": EditorAgent(self.config.agent),
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}
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else:
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self.agents = {
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"researcher": ResearcherAgent(self.config.agent),
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"analyst": AnalystAgent(self.config.agent),
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"writer": NonfictionWriterAgent(self.config.agent),
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"fact_checker": FactCheckerAgent(self.config.agent),
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"editor": NonfictionEditorAgent(self.config.agent),
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}
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async def ingest(self, content: Optional[RawContent] = None) -> OpusState:
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"""Ingest raw content from repository."""
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if self.repo_url and not content:
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content = RawContent(
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content_type="repository",
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text="[Content would be extracted from GitHub repository]",
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metadata={"repo_url": self.repo_url},
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)
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self.state = OpusState(
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repo_url=self.repo_url or "",
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intent=self.intent,
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raw_content=content,
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current_stage="ingestion",
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)
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return self.state
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# =========================================================================
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# SNOWFLAKE METHOD STAGES
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# =========================================================================
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async def snowflake_stage_1(self) -> str:
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"""Stage 1: One sentence summary.
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Take your one-paragraph story summary and cut it down to one sentence.
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"""
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print("❄️ SNOWFLAKE STAGE 1: One sentence summary...")
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raw_content = self.state.raw_content.text if self.state.raw_content else ""
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user_prompt = f"""Create a ONE SENTENCE summary of this story concept.
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The sentence should contain:
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- Protagonist's name (or descriptor)
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- Their goal
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- The conflict/obstacle
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- The stakes
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Example: "In a world where magic is forbidden, a young mage must master forbidden arts to save her dying brother, even if it means sparking a war with the ruling theocracy."
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## Your seed content:
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{raw_content}
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## Task:
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Write ONE compelling sentence that captures the entire story.
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"""
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response = await self.agents["architect"].call_llm(
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system_prompt="You are an expert story architect. Create concise, compelling summaries.",
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user_prompt=user_prompt,
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)
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self.one_sentence = response.strip()
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print(f" → {self.one_sentence}")
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return self.one_sentence
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async def snowflake_stage_2(self) -> str:
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"""Stage 2: One paragraph summary.
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Expand the one sentence to a paragraph with setup, 3 acts, and resolution.
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"""
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print("❄️ SNOWFLAKE STAGE 2: One paragraph outline...")
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user_prompt = f"""Expand this one-sentence summary into a full one-paragraph story outline.
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Include:
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- Opening image (the "before" state)
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- Setup (normal world, who the protagonist is)
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- Catalyst (what changes everything)
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- Rising action (attempts to solve the problem)
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- Midpoint (major twist or revelation)
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- Complications (things get worse)
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- Crisis (lowest point)
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- Resolution (how it ends)
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## One sentence:
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{self.one_sentence}
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## Task:
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Write one detailed paragraph (4-8 sentences) that tells the complete story arc.
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"""
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response = await self.agents["architect"].call_llm(
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system_prompt="You are an expert story architect. Create detailed, act-structured outlines.",
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user_prompt=user_prompt,
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)
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self.one_paragraph = response.strip()
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print(f" → {self.one_paragraph[:200]}...")
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return self.one_paragraph
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async def snowflake_stage_3(self) -> str:
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"""Stage 3: Character sheets (one page per major character).
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Create character sheets for all major characters.
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"""
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print("❄️ SNOWFLAKE STAGE 3: Character sheets...")
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user_prompt = f"""Create character sheets for all major characters in this story.
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For each character, provide:
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- Name
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- Role (protagonist, antagonist, love interest, mentor, etc.)
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- Age and physical description
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- Background/history (2-3 sentences)
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- Want (external goal)
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- Need (internal growth)
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- Fear
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- Secret
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- Character arc (how do they change?)
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## Story outline:
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{self.one_paragraph}
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## Task:
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Write comprehensive character sheets for all major characters.
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"""
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response = await self.agents["character_lead"].execute(
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{"characters": [], "raw_content": self.one_paragraph},
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{},
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)
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self.character_sheets = response.output if isinstance(response.output, str) else str(response.output)
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print(f" → Created character sheets ({len(self.character_sheets)} chars)")
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return self.character_sheets
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async def snowflake_stage_4(self) -> str:
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"""Stage 4: Four-page outline.
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Expand each sentence of the one-paragraph outline into a full page.
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"""
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print("❄️ SNOWFLAKE STAGE 4: Four-page outline...")
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user_prompt = f"""Expand this one-paragraph outline into a detailed four-page outline.
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For each major section (setup, 3 acts, resolution), provide:
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- Multiple scenes
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- Character motivations
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- Plot developments
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- World details
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- Dialogue hooks
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This should be approximately 4 pages worth of outline material.
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## Current outline:
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{self.one_paragraph}
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## Characters:
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{self.character_sheets[:1000]}...
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## Task:
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Write a comprehensive four-page outline covering the entire story.
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"""
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response = await self.agents["architect"].call_llm(
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system_prompt="You are an expert story architect. Create detailed, scene-by-scene outlines.",
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user_prompt=user_prompt,
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)
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self.four_page_outline = response.strip()
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print(f" → Created four-page outline ({len(self.four_page_outline)} chars)")
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return self.four_page_outline
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async def snowflake_stage_5(self) -> str:
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"""Stage 5: Detailed character charts.
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Expand character sheets into full character charts with dialogue samples.
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"""
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print("❄️ SNOWFLAKE STAGE 5: Detailed character charts...")
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user_prompt = f"""Create detailed character charts for all major characters.
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For each character include:
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- Full backstory
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- Psychological profile
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- Speech patterns (with sample dialogue)
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- Character quirks
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- Relationships with other characters
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- How they appear to others vs. who they really are
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- Key scenes they're in
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## Characters (basic):
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{self.character_sheets}
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## Story outline:
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{self.one_paragraph}
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## Task:
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Write comprehensive, detailed character charts.
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"""
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response = await self.agents["character_lead"].execute(
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{"characters": [], "raw_content": self.four_page_outline},
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{},
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)
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self.character_charts = response.output if isinstance(response.output, str) else str(response.output)
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print(f" → Created detailed character charts")
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return self.character_charts
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async def snowflake_stage_6(self) -> str:
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"""Stage 6: Scene list.
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Create a list of all scenes needed (like index cards).
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"""
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print("❄️ SNOWFLAKE STAGE 6: Scene list...")
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words_per_scene = 1500 # Average scene length
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num_scenes = max(10, self.intent.target_word_count // words_per_scene)
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user_prompt = f"""Create a complete SCENE LIST for this story.
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For each scene, provide:
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- Scene number
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- POV character
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- Setting/location
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- What happens (one line)
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- Purpose (advances plot? reveals character? builds world?)
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- Chapter placement
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Target: approximately {num_scenes} scenes for a {self.intent.target_word_count:,} word novel.
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## Four-page outline:
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{self.four_page_outline}
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## Characters:
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{self.character_charts[:1000]}...
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## Task:
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Create a comprehensive scene list with all scenes needed.
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"""
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response = await self.agents["architect"].call_llm(
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system_prompt="You are an expert story architect. Create detailed scene lists.",
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user_prompt=user_prompt,
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)
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self.scene_list = response.strip()
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# Parse scene count
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scene_count = self.scene_list.count("Scene ") + self.scene_list.count("Chapter")
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print(f" → Scene list created ({scene_count}+ scenes)")
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return self.scene_list
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async def snowflake_stage_7(self) -> str:
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"""Stage 7: Scene descriptions.
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Expand each scene into a full description (like index card back).
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"""
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print("❄️ SNOWFLAKE STAGE 7: Scene descriptions...")
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user_prompt = f"""Expand the scene list into detailed scene descriptions.
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For each scene, provide:
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- Opening beat
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- Key dialogue points
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- Conflict moment
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- Turning point
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- Closing beat
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This is like writing the back of each index card - you know what happens but not the full prose.
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## Scene list:
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{self.scene_list}
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## Characters:
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{self.character_charts[:500]}...
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## Task:
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Write detailed descriptions for key scenes (at least 20 most important scenes).
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"""
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response = await self.agents["architect"].call_llm(
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system_prompt="You are an expert story architect. Create vivid scene descriptions.",
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user_prompt=user_prompt,
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)
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self.scene_descriptions = response.strip()
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print(f" → Scene descriptions created")
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return self.scene_descriptions
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async def create_style_guide(self) -> str:
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"""Create the style guide for prose."""
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print("🎨 Creating style guide...")
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voice = self.agents["voice"]
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response = await voice.execute(
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{
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"genre": self.intent.genre or "general",
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"tone": self.intent.tone or "neutral",
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"target_audience": self.intent.target_audience,
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},
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{},
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)
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if response.success:
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self.style_guide = response.output if isinstance(response.output, str) else str(response.output)
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else:
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self.style_guide = "Professional fiction prose style."
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print(" ✅ Style guide created")
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return self.style_guide
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async def write_chapter(self, chapter_num: int, total_chapters: int) -> ChapterDraft:
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"""Write a single chapter."""
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print(f"✍️ Writing chapter {chapter_num}/{total_chapters}...")
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# Build chapter spec from our pre-writing
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chapter_context = f"""
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## Story context (from Snowflake pre-writing):
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ONE SENTENCE: {self.one_sentence}
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ONE PARAGRAPH: {self.one_paragraph}
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SCENE LIST: {self.scene_list[:1000]}...
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STYLE GUIDE: {self.style_guide[:500]}...
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## Task:
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Write Chapter {chapter_num} following the scene list and style guide.
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Make it vivid, engaging, and true to the characters.
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"""
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voice = self.agents["voice"]
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target_words = self.intent.target_word_count // total_chapters
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response = await voice.write_chapter(
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{
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"chapter_number": chapter_num,
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"title": f"Chapter {chapter_num}",
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"summary": f"Chapter {chapter_num} based on scene list",
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"word_count_target": target_words,
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"key_events": [],
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},
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chapter_context,
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{},
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)
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if not response.success:
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raise Exception(f"Chapter writing failed: {response.error}")
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output = response.output if isinstance(response.output, dict) else {"content": str(response.output)}
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draft = ChapterDraft(
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chapter_number=chapter_num,
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title=f"Chapter {chapter_num}",
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content=output.get("content", ""),
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word_count=output.get("word_count", len(output.get("content", "").split())),
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)
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self.state.drafts[chapter_num] = draft
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progress = 0.5 + (0.4 * chapter_num / total_chapters)
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self.state.progress = progress
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print(f" ✅ Chapter {chapter_num}: {draft.word_count} words")
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return draft
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async def critique_chapter(self, chapter_num: int) -> ChapterCritique:
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"""Critique a chapter."""
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draft = self.state.drafts.get(chapter_num)
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if not draft:
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raise ValueError(f"No draft for chapter {chapter_num}")
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editor = self.agents["editor"]
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response = await editor.review_chapter(
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draft.model_dump(),
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{"title": self.one_sentence, "genre": self.intent.genre or "general", "total_chapters": len(self.state.blueprint.chapters) if self.state.blueprint else 0},
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{},
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)
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if not response.success:
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return ChapterCritique(
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chapter_number=chapter_num,
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overall_score=0.7,
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criteria_scores=[],
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consensus_strengths=["Good effort"],
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consensus_weaknesses=[],
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revision_priority="minor_revisions",
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)
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output = response.output if isinstance(response.output, dict) else {"critique": str(response.output)}
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critique = ChapterCritique(
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chapter_number=chapter_num,
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overall_score=output.get("score", 0.7),
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criteria_scores=[],
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consensus_strengths=[],
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consensus_weaknesses=[],
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revision_priority="minor_revisions",
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)
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if chapter_num not in self.state.critiques:
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self.state.critiques[chapter_num] = []
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self.state.critiques[chapter_num].append(critique)
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return critique
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async def iterate_chapter(self, chapter_num: int, max_iterations: int = 2) -> Chapter:
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"""Iterate on a chapter."""
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for iteration in range(1, max_iterations + 1):
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critique = await self.critique_chapter(chapter_num)
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if critique.overall_score >= self.config.iteration.approval_threshold:
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print(f" ✅ Chapter {chapter_num} approved! (score: {critique.overall_score:.2f})")
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break
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else:
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print(f" 🔄 Iteration {iteration}: score {critique.overall_score:.2f}")
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draft = self.state.drafts.get(chapter_num)
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return Chapter(
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chapter_number=chapter_num,
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title=draft.title,
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content=draft.content,
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word_count=draft.word_count,
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)
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async def generate_blueprint(self) -> BookBlueprint:
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"""Generate the book blueprint."""
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words_per_chapter = 3000
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num_chapters = max(3, self.intent.target_word_count // words_per_chapter)
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blueprint = BookBlueprint(
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title=self.intent.working_title or "Untitled",
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genre=self.intent.genre or "general",
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target_audience=self.intent.target_audience,
|
|
target_word_count=self.intent.target_word_count,
|
|
structure="three-act",
|
|
themes=[],
|
|
tone=self.intent.tone or "neutral",
|
|
chapters=[
|
|
BookBlueprint.model_construct(
|
|
chapter_number=i,
|
|
title=f"Chapter {i}",
|
|
summary=f"Chapter {i}",
|
|
word_count_target=words_per_chapter,
|
|
)
|
|
for i in range(1, num_chapters + 1)
|
|
],
|
|
)
|
|
|
|
self.state.blueprint = blueprint
|
|
self.state.current_stage = "blueprint"
|
|
self.state.progress = 0.1
|
|
|
|
return blueprint
|
|
|
|
async def compile_manuscript(self) -> Manuscript:
|
|
"""Compile all chapters into final manuscript."""
|
|
num_chapters = len(self.state.blueprint.chapters)
|
|
|
|
chapters = []
|
|
for i in range(1, num_chapters + 1):
|
|
await self.write_chapter(i, num_chapters)
|
|
chapter = await self.iterate_chapter(i)
|
|
chapters.append(chapter)
|
|
|
|
manuscript = Manuscript(
|
|
title=self.state.blueprint.title,
|
|
book_type=self.book_type,
|
|
genre=self.intent.genre or "general",
|
|
chapters=chapters,
|
|
total_word_count=sum(c.word_count for c in chapters),
|
|
frontmatter={
|
|
"one_sentence": self.one_sentence,
|
|
"one_paragraph": self.one_paragraph,
|
|
"include_toc": True,
|
|
},
|
|
)
|
|
|
|
self.state.manuscript = manuscript
|
|
self.state.current_stage = "complete"
|
|
self.state.progress = 1.0
|
|
|
|
return manuscript
|
|
|
|
# =========================================================================
|
|
# MAIN RUN METHOD - FULL SNOWFLAKE
|
|
# =========================================================================
|
|
|
|
async def run(self) -> Manuscript:
|
|
"""Run the full Snowflake Method pipeline."""
|
|
print(f"\n{'='*60}")
|
|
print("❄️ OPUS ORCHESTRATOR - SNOWFLAKE METHOD")
|
|
print(f"{'='*60}\n")
|
|
|
|
await self.ingest()
|
|
|
|
# Pre-writing stages (Snowflake 1-7)
|
|
await self.snowflake_stage_1() # One sentence
|
|
await self.snowflake_stage_2() # One paragraph
|
|
await self.snowflake_stage_3() # Character sheets
|
|
await self.snowflake_stage_4() # Four-page outline
|
|
await self.snowflake_stage_5() # Detailed character charts
|
|
await self.snowflake_stage_6() # Scene list
|
|
await self.snowflake_stage_7() # Scene descriptions
|
|
|
|
# Style and writing
|
|
await self.create_style_guide()
|
|
|
|
# Generate blueprint
|
|
await self.generate_blueprint()
|
|
|
|
# Write and critique chapters
|
|
manuscript = await self.compile_manuscript()
|
|
|
|
print(f"\n{'='*60}")
|
|
print("✅ SNOWFLAKE COMPLETE!")
|
|
print(f"{'='*60}")
|
|
print(f"📖 Title: {manuscript.title}")
|
|
print(f"📄 Words: {manuscript.total_word_count:,}")
|
|
print(f"📑 Chapters: {len(manuscript.chapters)}")
|
|
|
|
return manuscript
|
|
|
|
def save_manuscript(self, output_path: Optional[Path] = None) -> Path:
|
|
"""Save manuscript and pre-writing to files."""
|
|
if not self.state.manuscript:
|
|
raise ValueError("No manuscript to save. Run first.")
|
|
|
|
output_dir = output_path or Path("./output")
|
|
output_dir.mkdir(parents=True, exist_ok=True)
|
|
|
|
# Save manuscript
|
|
manuscript_path = output_dir / f"{self.state.manuscript.title.lower().replace(' ', '_')}.md"
|
|
with open(manuscript_path, "w") as f:
|
|
f.write(self.state.manuscript.to_markdown())
|
|
|
|
# Save pre-writing
|
|
prewriting_path = output_dir / f"{self.state.manuscript.title.lower().replace(' ', '_')}_prewriting.md"
|
|
with open(prewriting_path, "w") as f:
|
|
f.write(f"# Pre-Writing: {self.state.manuscript.title}\n\n")
|
|
f.write(f"## Stage 1: One Sentence\n{self.one_sentence}\n\n")
|
|
f.write(f"## Stage 2: One Paragraph\n{self.one_paragraph}\n\n")
|
|
f.write(f"## Stage 3: Character Sheets\n{self.character_sheets}\n\n")
|
|
f.write(f"## Stage 4: Four-Page Outline\n{self.four_page_outline}\n\n")
|
|
f.write(f"## Stage 5: Character Charts\n{self.character_charts}\n\n")
|
|
f.write(f"## Stage 6: Scene List\n{self.scene_list}\n\n")
|
|
f.write(f"## Stage 7: Scene Descriptions\n{self.scene_descriptions}\n\n")
|
|
|
|
return manuscript_path
|