from datetime import datetime import sqlalchemy as sa from sqlalchemy import Column, DateTime, Float, ForeignKey, Integer, JSON, String, Text from sqlalchemy.dialects.mysql import LONGTEXT from sqlalchemy.orm import relationship from app.models.base import Base, TimestampMixin class ToolJob(Base, TimestampMixin): __tablename__ = "tool_jobs" id = Column(Integer, primary_key=True, index=True) user_id = Column(Integer, ForeignKey("users.id"), nullable=False, index=True) tool_name = Column(String(128), nullable=False, index=True) status = Column(String(32), nullable=False, default="pending") input_file_name = Column(String(255), nullable=False) input_file_path = Column(String(512), nullable=False) error_message = Column(Text, nullable=True) started_at = Column(DateTime, nullable=True) completed_at = Column(DateTime, nullable=True) output_summary = Column(JSON, nullable=True) user = relationship("User") srs_extraction = relationship( "SRSExtraction", back_populates="job", uselist=False, cascade="all, delete-orphan", ) testing_generation = relationship( "TestingGeneration", back_populates="job", uselist=False, cascade="all, delete-orphan", foreign_keys="TestingGeneration.job_id", ) class SRSExtraction(Base, TimestampMixin): __tablename__ = "srs_extractions" id = Column(Integer, primary_key=True, index=True) job_id = Column(Integer, ForeignKey("tool_jobs.id", ondelete="CASCADE"), nullable=False, unique=True) document_name = Column(String(255), nullable=False) document_title = Column(String(255), nullable=False) generated_at = Column(DateTime, default=datetime.utcnow, nullable=False) total_requirements = Column(Integer, nullable=False, default=0) statistics = Column(JSON, nullable=True) raw_output = Column(JSON, nullable=True) job = relationship("ToolJob", back_populates="srs_extraction") requirements = relationship( "SRSRequirement", back_populates="extraction", cascade="all, delete-orphan", order_by="SRSRequirement.sort_order", ) class SRSRequirement(Base, TimestampMixin): __tablename__ = "srs_requirements" id = Column(Integer, primary_key=True, index=True) extraction_id = Column(Integer, ForeignKey("srs_extractions.id", ondelete="CASCADE"), nullable=False) requirement_uid = Column(String(64), nullable=False) title = Column(String(255), nullable=False) description = Column(LONGTEXT, nullable=False) priority = Column(String(16), nullable=False, default="δΈ­") acceptance_criteria = Column(JSON, nullable=False) source_field = Column(String(255), nullable=False) section_uid = Column(String(64), nullable=True) section_number = Column(String(64), nullable=True) section_title = Column(String(255), nullable=True) requirement_type = Column(String(64), nullable=True) interface_name = Column(String(255), nullable=True) interface_type = Column(String(128), nullable=True) data_source = Column(String(255), nullable=True) data_destination = Column(String(255), nullable=True) sort_order = Column(Integer, nullable=False, default=0) extraction = relationship("SRSExtraction", back_populates="requirements") __table_args__ = ( sa.UniqueConstraint("extraction_id", "requirement_uid", name="uq_srs_extraction_requirement_uid"), sa.Index("idx_srs_requirements_extraction_sort", "extraction_id", "sort_order"), ) class TestingGeneration(Base, TimestampMixin): __tablename__ = "testing_generations" id = Column(Integer, primary_key=True, index=True) job_id = Column(Integer, ForeignKey("tool_jobs.id", ondelete="CASCADE"), nullable=False, unique=True) source_job_id = Column(Integer, ForeignKey("tool_jobs.id"), nullable=True, index=True) source_document_name = Column(String(255), nullable=False) generated_at = Column(DateTime, default=datetime.utcnow, nullable=False) total_requirements = Column(Integer, nullable=False, default=0) knowledge_base_id = Column(Integer, ForeignKey("knowledge_bases.id"), nullable=True, index=True) generated_file = Column(JSON, nullable=False) job = relationship("ToolJob", back_populates="testing_generation", foreign_keys=[job_id]) class CodeKnowledgeBase(Base, TimestampMixin): __tablename__ = "code_knowledge_bases" id = Column(Integer, primary_key=True, index=True) user_id = Column(Integer, ForeignKey("users.id"), nullable=False, index=True) name = Column(String(255), nullable=False) project_path = Column(String(1024), nullable=True) vector_path = Column(String(1024), nullable=False) metadata_path = Column(String(1024), nullable=False) graph_path = Column(String(1024), nullable=False) status = Column(String(32), nullable=False, default="active", index=True) metadata_summary = Column(JSON, nullable=True) user = relationship("User") consistency_jobs = relationship( "ConsistencyJob", back_populates="code_kb", cascade="all, delete-orphan", ) class ConsistencyJob(Base, TimestampMixin): __tablename__ = "consistency_jobs" id = Column(Integer, primary_key=True, index=True) user_id = Column(Integer, ForeignKey("users.id"), nullable=False, index=True) srs_extraction_id = Column(Integer, ForeignKey("srs_extractions.id"), nullable=False, index=True) code_kb_id = Column(Integer, ForeignKey("code_knowledge_bases.id"), nullable=False, index=True) status = Column(String(32), nullable=False, default="pending", index=True) total_requirements = Column(Integer, nullable=False, default=0) completed_requirements = Column(Integer, nullable=False, default=0) output_summary = Column(JSON, nullable=True) error_message = Column(Text, nullable=True) started_at = Column(DateTime, nullable=True) completed_at = Column(DateTime, nullable=True) user = relationship("User") srs_extraction = relationship("SRSExtraction") code_kb = relationship("CodeKnowledgeBase", back_populates="consistency_jobs") results = relationship( "ConsistencyResult", back_populates="job", cascade="all, delete-orphan", order_by="ConsistencyResult.id", ) class ConsistencyResult(Base, TimestampMixin): __tablename__ = "consistency_results" id = Column(Integer, primary_key=True, index=True) job_id = Column(Integer, ForeignKey("consistency_jobs.id", ondelete="CASCADE"), nullable=False, index=True) requirement_uid = Column(String(64), nullable=False, index=True) verdict = Column(String(32), nullable=False, index=True) coverage_score = Column(Float, nullable=False, default=0.0) confidence = Column(Float, nullable=False, default=0.0) matched_functions = Column(JSON, nullable=False) covered_points = Column(JSON, nullable=False) missing_points = Column(JSON, nullable=False) conflict_points = Column(JSON, nullable=False) call_chain_evidence = Column(JSON, nullable=False) suggestion = Column(Text, nullable=True) raw_judgment = Column(JSON, nullable=True) job = relationship("ConsistencyJob", back_populates="results")