Christian Krakau-Louis
102 lines
4.4 KiB
Python
102 lines
4.4 KiB
Python
# app/models.py
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from sqlalchemy import Column, DateTime, ForeignKey, Integer, String, Text, UniqueConstraint, func, Boolean
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from app.database import Base
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class DocumentMetadata(Base):
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__tablename__ = "documents"
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id = Column(Integer, primary_key=True, index=True)
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filename = Column(String, unique=True, index=True)
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sender = Column(String)
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recipient = Column(String)
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tags = Column(String)
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summary = Column(String)
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class FileRecord(Base):
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__tablename__ = "files"
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id = Column(Integer, primary_key=True, index=True)
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# Hash of the file content (e.g. SHA-256)
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# Note: duplicates are allowed so filehash is not unique
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filehash = Column(String, index=True, nullable=False)
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# The name of the file as it was originally uploaded (if known)
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original_filename = Column(String)
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# The name/path we store on disk (e.g. /workdir/tmp/<uuid>.pdf)
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local_filename = Column(String, nullable=False)
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# Immutable original copy path (e.g. /workdir/original/<uuid>.pdf)
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# This is the first copy made when the file is ingested
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original_file_path = Column(String)
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# Processed copy path (e.g. /workdir/processed/2024-01-01_Invoice.pdf)
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# This is the final file with embedded metadata before upload
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processed_file_path = Column(String)
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# Size of the file in bytes
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file_size = Column(Integer, nullable=False)
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# MIME type or extension (optional)
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mime_type = Column(String)
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# Deduplication tracking: True if this file is a duplicate of another file
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# When a duplicate is detected, this file record is created but marked as duplicate
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is_duplicate = Column(Boolean, default=False, nullable=False, index=True)
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# If this is a duplicate, record the ID of the original file for reference
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duplicate_of_id = Column(Integer, ForeignKey("files.id"), nullable=True)
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# Timestamp when we inserted this record
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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class FileProcessingStep(Base):
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"""
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Tracks the current status of each processing step for a file.
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This provides a definitive, queryable state for each step without scanning logs.
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"""
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__tablename__ = "file_processing_steps"
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id = Column(Integer, primary_key=True, index=True)
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file_id = Column(Integer, ForeignKey("files.id"), nullable=False, index=True)
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step_name = Column(String, nullable=False, index=True) # e.g., "hash_file", "upload_to_dropbox"
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status = Column(String, nullable=False) # "pending", "in_progress", "success", "failure", "skipped"
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started_at = Column(DateTime(timezone=True), nullable=True) # When step started
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completed_at = Column(DateTime(timezone=True), nullable=True) # When step finished (success/failure)
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error_message = Column(Text, nullable=True) # Error message if status is "failure"
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
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__table_args__ = (UniqueConstraint("file_id", "step_name", name="unique_file_step"),)
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class ProcessingLog(Base):
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__tablename__ = "processing_logs"
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id = Column(Integer, primary_key=True, index=True)
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file_id = Column(Integer, ForeignKey("files.id"), nullable=True) # Optional file association
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task_id = Column(String, index=True) # Celery task ID
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step_name = Column(String) # e.g., "OCR", "convert_to_pdf", "upload_s3"
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status = Column(String) # "pending", "in_progress", "success", "failure"
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message = Column(String, nullable=True) # Error text or success note
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detail = Column(Text, nullable=True) # Verbose worker log output for diagnostics
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timestamp = Column(DateTime(timezone=True), server_default=func.now())
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class ApplicationSettings(Base):
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"""Store application settings in database with precedence over environment variables"""
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__tablename__ = "application_settings"
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id = Column(Integer, primary_key=True, index=True)
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key = Column(String, unique=True, index=True, nullable=False) # Setting key (e.g., 'database_url')
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value = Column(String, nullable=True) # Setting value (stored as string, converted as needed)
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
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