3d6b44a6e6
- Complete FastAPI backend with SQLite database
- AI-powered resume parsing and job matching using OpenAI
- JWT authentication with role-based access control
- Resume upload, job management, and matching endpoints
- Recruiter dashboard with candidate ranking
- Analytics and skill gap analysis features
- Comprehensive API documentation with OpenAPI
- Alembic database migrations
- File upload support for PDF, DOCX, and TXT resumes
- CORS enabled for frontend integration
🤖 Generated with BackendIM
Co-Authored-By: Claude <noreply@anthropic.com>
25 lines
1.1 KiB
Python
25 lines
1.1 KiB
Python
from sqlalchemy import Column, Integer, String, Text, DateTime, ForeignKey, JSON
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from sqlalchemy.sql import func
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from sqlalchemy.orm import relationship
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from app.db.base import Base
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class Resume(Base):
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__tablename__ = "resumes"
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id = Column(Integer, primary_key=True, index=True)
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user_id = Column(Integer, ForeignKey("users.id"), nullable=False)
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title = Column(String, nullable=False)
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file_path = Column(String, nullable=True)
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original_filename = Column(String, nullable=True)
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extracted_text = Column(Text, nullable=True)
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parsed_data = Column(JSON, nullable=True) # Structured resume data
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skills = Column(JSON, nullable=True) # Extracted skills
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experience_years = Column(Integer, nullable=True)
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education_level = Column(String, nullable=True)
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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updated_at = Column(DateTime(timezone=True), onupdate=func.now())
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# Relationships
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user = relationship("User", back_populates="resumes")
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matches = relationship("Match", back_populates="resume") |