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Download orchestrator/provenance.py from mgbam/MCP_Research: direct link, hf CLI and curl.
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https://huggingface.co/spaces/mgbam/MCP_Research/resolve/7ed183c1d2179e355ce33d1e12760a70b7dcf03d/orchestrator/provenance.py
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curl -L -o provenance.py https://huggingface.co/spaces/mgbam/MCP_Research/resolve/7ed183c1d2179e355ce33d1e12760a70b7dcf03d/orchestrator/provenance.py
1.09 kB
| # SQLAlchemy models for provenance | |
| # File: orchestrator/provenance.py | |
| from sqlalchemy import Column, Integer, String, DateTime, ForeignKey, create_engine | |
| from sqlalchemy.orm import declarative_base, relationship, sessionmaker | |
| from datetime import datetime | |
| Base = declarative_base() | |
| class Paper(Base): | |
| __tablename__ = 'papers' | |
| id = Column(String, primary_key=True) | |
| title = Column(String) | |
| authors = Column(String) | |
| abstract = Column(String) | |
| fetched_at = Column(DateTime, default=datetime.utcnow) | |
| runs = relationship("Run", back_populates="paper") | |
| class Run(Base): | |
| __tablename__ = 'runs' | |
| id = Column(Integer, primary_key=True, autoincrement=True) | |
| paper_id = Column(String, ForeignKey('papers.id')) | |
| cell_index = Column(Integer) | |
| output = Column(String) | |
| executed_at = Column(DateTime, default=datetime.utcnow) | |
| paper = relationship("Paper", back_populates="runs") | |
| # Utility to initialize and get a session | |
| def init_db(db_url: str): | |
| engine = create_engine(db_url) | |
| Base.metadata.create_all(engine) | |
| return sessionmaker(bind=engine) |