001649a364
Backend: - Add Tavily web search tool wrapper (tools/web_search.py) - Add PDF reader + ChromaDB vector store tool (tools/pdf_reader.py) - Bind tools to LLM calls via .bind_tools() in dynamic_graph_builder - Implement God Mode using LangGraph interrupt_before + MemorySaver - Add approve/reject/modify API endpoints for God Mode - Add PDF upload endpoint with ingestion pipeline - Add persistent run history (CouncilRun model + run_service + API) - Add Alembic migration for council_runs table - Enhance WebSocket to emit run_paused and run_resumed events - Add tests for tools, God Mode, and run history Frontend: - Add God Mode approval UI (GodModePanel component) - Add Auto-Pilot / God Mode toggle in Konferenzzimmer - Add functional PDF upload handler - Add Conditional Edge editor (EdgeSettingsPanel component) - Add edge click selection in ArchitectCanvas - Update Zustand store with edge selection and update actions - Update types for God Mode, execution modes, and WS events - Update API client with God Mode, PDF upload, and blueprint run endpoints - Update WebSocket hook for paused/resumed events - Add Vitest config and frontend tests (store, parser, types, API) https://claude.ai/code/session_017U6idFgaqnYTXzPxA7mxMv
71 lines
2.1 KiB
Python
71 lines
2.1 KiB
Python
"""
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CouncilRun model — persists council run history in PostgreSQL.
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Each run record stores the execution metadata, status, and results.
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Replaces the in-memory run_store for persistent storage.
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"""
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import uuid
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from datetime import datetime, timezone
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from sqlalchemy import Column, DateTime, Float, Integer, String, Text
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from models.blueprint import Base
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class CouncilRun(Base):
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"""
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A persisted council run stored in PostgreSQL.
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Tracks the full lifecycle of a run: pending → running → completed/failed/paused.
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"""
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__tablename__ = "council_runs"
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id = Column(
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String(36),
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primary_key=True,
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default=lambda: str(uuid.uuid4()),
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)
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blueprint_id = Column(String(36), nullable=True)
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input_topic = Column(Text, nullable=False)
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status = Column(
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String(20),
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nullable=False,
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default="pending",
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)
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execution_mode = Column(
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String(20),
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nullable=False,
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default="auto-pilot",
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)
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final_draft = Column(Text, nullable=True)
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critic_score = Column(Float, nullable=True)
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iteration_count = Column(Integer, nullable=True)
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active_node = Column(String(255), nullable=True)
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error = Column(Text, nullable=True)
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created_at = Column(
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DateTime(timezone=True),
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nullable=False,
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default=lambda: datetime.now(timezone.utc),
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)
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completed_at = Column(
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DateTime(timezone=True),
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nullable=True,
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)
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def to_dict(self) -> dict:
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"""Serialize to a JSON-friendly dict."""
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return {
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"id": self.id,
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"blueprint_id": self.blueprint_id,
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"input_topic": self.input_topic,
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"status": self.status,
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"execution_mode": self.execution_mode,
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"final_draft": self.final_draft,
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"critic_score": self.critic_score,
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"iteration_count": self.iteration_count,
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"active_node": self.active_node,
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"error": self.error,
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"created_at": self.created_at.isoformat() if self.created_at else None,
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"completed_at": self.completed_at.isoformat() if self.completed_at else None,
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}
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