135 lines
4.3 KiB
Python
135 lines
4.3 KiB
Python
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"""Unified State Adapter for Opus Orchestrator.
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Provides adapters between OpusState and OpusGraphState to unify
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the two state systems.
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"""
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from typing import Any, Optional
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from opus_orchestrator.state import OpusState
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from opus_orchestrator.langgraph_state import OpusGraphState
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class StateAdapter:
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"""Adapter to convert between OpusState and OpusGraphState."""
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@staticmethod
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def opus_to_graph(opus_state: OpusState) -> dict[str, Any]:
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"""Convert OpusState to dict for OpusGraphState.
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Args:
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opus_state: The OpusState to convert
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Returns:
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Dict suitable for creating OpusGraphState
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"""
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# Extract pre-writing data if available
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prewriting_data = {}
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if opus_state.blueprint:
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prewriting_data = {
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"one_sentence": opus_state.blueprint.title, # Approximate
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"one_paragraph": opus_state.blueprint.subtitle or "",
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}
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return {
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"seed_concept": opus_state.raw_content.text[:500] if opus_state.raw_content else "",
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"framework": "snowflake",
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"genre": opus_state.intent.genre if opus_state.intent else "general",
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"target_word_count": opus_state.intent.target_word_count if opus_state.intent else 80000,
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"prewriting": prewriting_data,
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}
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@staticmethod
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def graph_to_opus(graph_state: OpusGraphState) -> OpusState:
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"""Convert OpusGraphState back to OpusState.
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This is lossy - only preserves key fields.
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Args:
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graph_state: The OpusGraphState to convert
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Returns:
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OpusState with available data
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"""
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from opus_orchestrator.schemas import BookIntent, BookType
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intent = BookIntent(
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book_type=BookType.FICTION,
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genre=graph_state.genre,
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target_word_count=graph_state.target_word_count,
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target_audience="general readers",
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intended_outcome="complete novel",
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)
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opus_state = OpusState(
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intent=intent,
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current_stage=graph_state.stage.value,
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progress=graph_state.progress,
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)
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# Add manuscript if available
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if graph_state.manuscript:
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from opus_orchestrator.schemas import Manuscript, Chapter
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chapters = []
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for i, ch_state in graph_state.chapters.items():
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chapters.append(Chapter(
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chapter_number=i,
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title=ch_state.content[:50],
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content=ch_state.content,
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word_count=ch_state.word_count,
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))
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opus_state.manuscript = Manuscript(
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title="Untitled",
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book_type=BookType.FICTION,
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genre=graph_state.genre,
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chapters=chapters,
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total_word_count=graph_state.total_word_count,
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)
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return opus_state
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@staticmethod
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def create_unified_state(
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seed_concept: str,
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framework: str = "snowflake",
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genre: str = "general",
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target_word_count: int = 80000,
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) -> dict[str, Any]:
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"""Create initial state dict that works for both systems.
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Args:
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seed_concept: The seed concept for the book
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framework: Story framework to use
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genre: Genre of the book
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target_word_count: Target word count
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Returns:
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Dict that can initialize either state model
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"""
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return {
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# Common fields
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"seed_concept": seed_concept,
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"framework": framework,
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"genre": genre,
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"target_word_count": target_word_count,
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# For OpusState compatibility
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"repo_url": None,
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"intent": None,
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"raw_content": None,
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# For OpusGraphState compatibility
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"prewriting": {},
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"style_guide": "",
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"current_chapter": 0,
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"chapters": {},
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"manuscript": "",
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"total_word_count": 0,
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"use_autogen": True,
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"critique_iterations": {},
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"validation_errors": [],
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"warnings": [],
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"progress": 0.0,
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"messages": [],
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}
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