ddf7788d77
Aggiunge POST /api/vision/execute: route l'immagine al worker di visione, mappa le uscite del grafo sulle quote e le salva con save_measurement - stesso verdetto, stesso gate del fuori tolleranza di ogni altra misura. Nuova tabella vision_results (una riga per acquisizione, non per quota) e input_method 'camera' su measurements. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014BBnuACZSCJqXrMYC3LUMU
80 lines
3.0 KiB
Python
80 lines
3.0 KiB
Python
"""one row per vision execution, and camera as an input method
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The vision surroundings do not go on `measurements`: statistics and the export
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read that table on every pass. And it would be wrong modelling anyway - one
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acquisition produces N quotes, and image, overlay, device and engine version are
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the same for all of them.
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Revision ID: 012_vision_results
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Revises: 011_vision_graph
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Create Date: 2026-08-16
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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revision: str = '012_vision_results'
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down_revision: Union[str, None] = '011_vision_graph'
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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OLD_METHODS = ('usb_caliper', 'manual')
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NEW_METHODS = ('usb_caliper', 'manual', 'camera')
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def upgrade() -> None:
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op.create_table(
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'vision_results',
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sa.Column('id', sa.Integer(), primary_key=True, autoincrement=True),
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sa.Column('task_id', sa.Integer(),
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sa.ForeignKey('recipe_tasks.id'), nullable=False, index=True),
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sa.Column('image_path', sa.String(length=500), nullable=True),
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sa.Column('overlay_path', sa.String(length=500), nullable=True),
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sa.Column('engine_version', sa.String(length=64), nullable=False),
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sa.Column('executed_on',
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sa.Enum('server', 'station', name='vision_executed_on_enum'),
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nullable=False),
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sa.Column('station_id', sa.Integer(),
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sa.ForeignKey('stations.id'), nullable=True),
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sa.Column('device_code', sa.String(length=100), nullable=True),
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sa.Column('calibration_snapshot', sa.JSON(), nullable=True),
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sa.Column('graph_snapshot', sa.JSON(), nullable=False),
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sa.Column('duration_ms', sa.Integer(), nullable=True),
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sa.Column('executed_at', sa.DateTime(), nullable=False,
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server_default=sa.func.now()),
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mysql_engine='InnoDB',
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mysql_charset='utf8mb4',
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)
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with op.batch_alter_table('measurements') as batch:
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batch.alter_column(
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'input_method',
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existing_type=sa.Enum(*OLD_METHODS, name='input_method_enum'),
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type_=sa.Enum(*NEW_METHODS, name='input_method_enum'),
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existing_nullable=False,
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)
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batch.add_column(
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sa.Column('vision_result_id', sa.Integer(), nullable=True)
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)
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batch.create_foreign_key(
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'fk_measurements_vision_result',
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'vision_results', ['vision_result_id'], ['id'],
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)
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def downgrade() -> None:
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with op.batch_alter_table('measurements') as batch:
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batch.drop_constraint('fk_measurements_vision_result',
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type_='foreignkey')
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batch.drop_column('vision_result_id')
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batch.alter_column(
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'input_method',
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existing_type=sa.Enum(*NEW_METHODS, name='input_method_enum'),
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type_=sa.Enum(*OLD_METHODS, name='input_method_enum'),
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existing_nullable=False,
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)
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op.drop_table('vision_results')
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