Floke
4e52e194f1
- Added FastAPI backend with FFmpeg and Gemini 2.0 integration - Added React frontend with upload and meeting list - Integrated into main docker-compose stack and dashboard
64 lines
2.3 KiB
Python
64 lines
2.3 KiB
Python
from sqlalchemy import create_engine, Column, Integer, String, Text, DateTime, ForeignKey, Float, JSON
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import sessionmaker, relationship
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from datetime import datetime
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from .config import settings
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engine = create_engine(settings.DATABASE_URL, connect_args={"check_same_thread": False})
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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Base = declarative_base()
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class Meeting(Base):
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__tablename__ = "meetings"
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id = Column(Integer, primary_key=True, index=True)
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title = Column(String, index=True)
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filename = Column(String)
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file_path = Column(String)
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date_recorded = Column(DateTime, default=datetime.utcnow)
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duration_seconds = Column(Float, nullable=True)
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status = Column(String, default="UPLOADED") # UPLOADED, SPLITTING, TRANSCRIBING, ANALYZING, COMPLETED, ERROR
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participants = Column(JSON, nullable=True) # List of names
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summary = Column(Text, nullable=True)
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created_at = Column(DateTime, default=datetime.utcnow)
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updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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chunks = relationship("TranscriptChunk", back_populates="meeting", cascade="all, delete-orphan")
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analysis_results = relationship("AnalysisResult", back_populates="meeting", cascade="all, delete-orphan")
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class TranscriptChunk(Base):
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__tablename__ = "transcript_chunks"
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id = Column(Integer, primary_key=True, index=True)
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meeting_id = Column(Integer, ForeignKey("meetings.id"))
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chunk_index = Column(Integer)
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raw_text = Column(Text)
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json_content = Column(JSON, nullable=True) # Structured timestamps/speakers
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meeting = relationship("Meeting", back_populates="chunks")
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class AnalysisResult(Base):
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__tablename__ = "analysis_results"
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id = Column(Integer, primary_key=True, index=True)
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meeting_id = Column(Integer, ForeignKey("meetings.id"))
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prompt_key = Column(String) # summary, tasks, notes
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result_text = Column(Text)
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created_at = Column(DateTime, default=datetime.utcnow)
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meeting = relationship("Meeting", back_populates="analysis_results")
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def init_db():
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Base.metadata.create_all(bind=engine)
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def get_db():
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db = SessionLocal()
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try:
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yield db
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finally:
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db.close()
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