ab0e9b973a
- Set up FastAPI project structure with SQLite database - Create database models for tomato images and severity classifications - Implement image upload and processing endpoints - Develop a segmentation model for tomato disease severity detection - Add API endpoints for analysis and results retrieval - Implement health check endpoint - Set up Alembic for database migrations - Update project documentation
58 lines
2.3 KiB
Python
58 lines
2.3 KiB
Python
"""Initial migration
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Revision ID: e5d7de4b3a28
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Revises:
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Create Date: 2023-10-10 12:00:00.000000
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"""
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from alembic import op
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import sqlalchemy as sa
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# revision identifiers, used by Alembic.
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revision = 'e5d7de4b3a28'
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down_revision = None
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branch_labels = None
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depends_on = None
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def upgrade():
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# Create tomato_images table
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op.create_table('tomato_images',
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sa.Column('id', sa.String(length=36), primary_key=True, index=True),
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sa.Column('filename', sa.String(length=255), nullable=False),
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sa.Column('file_path', sa.String(length=512), nullable=False, unique=True),
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sa.Column('file_size', sa.Integer(), nullable=False),
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sa.Column('mime_type', sa.String(length=50), nullable=False),
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sa.Column('width', sa.Integer(), nullable=True),
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sa.Column('height', sa.Integer(), nullable=True),
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sa.Column('uploaded_at', sa.DateTime(), nullable=False),
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)
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# Create analysis_results table
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op.create_table('analysis_results',
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sa.Column('id', sa.String(length=36), primary_key=True, index=True),
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sa.Column('image_id', sa.String(length=36), sa.ForeignKey('tomato_images.id', ondelete='CASCADE'), nullable=False),
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sa.Column('model_name', sa.String(length=255), nullable=False),
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sa.Column('model_version', sa.String(length=50), nullable=False),
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sa.Column('primary_severity', sa.String(length=50), nullable=True),
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sa.Column('severity_confidence', sa.Float(), nullable=True),
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sa.Column('segmentation_data', sa.Text(), nullable=True),
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sa.Column('processed_at', sa.DateTime(), nullable=False),
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sa.Column('processing_time_ms', sa.Integer(), nullable=True),
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)
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# Create severity_details table
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op.create_table('severity_details',
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sa.Column('id', sa.String(length=36), primary_key=True, index=True),
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sa.Column('analysis_id', sa.String(length=36), sa.ForeignKey('analysis_results.id', ondelete='CASCADE'), nullable=False),
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sa.Column('severity_class', sa.String(length=50), nullable=False),
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sa.Column('confidence', sa.Float(), nullable=False),
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sa.Column('affected_area_percentage', sa.Float(), nullable=True),
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)
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def downgrade():
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op.drop_table('severity_details')
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op.drop_table('analysis_results')
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op.drop_table('tomato_images') |