feat(vision): il server esegue tramite worker e salva misure vere

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
2026-08-16 18:40:12 +02:00
parent 05f2937611
commit ddf7788d77
11 changed files with 477 additions and 1 deletions
@@ -0,0 +1,79 @@
+"""one row per vision execution, and camera as an input method
+
+The vision surroundings do not go on `measurements`: statistics and the export
+read that table on every pass. And it would be wrong modelling anyway - one
+acquisition produces N quotes, and image, overlay, device and engine version are
+the same for all of them.
+
+Revision ID: 012_vision_results
+Revises: 011_vision_graph
+Create Date: 2026-08-16
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+revision: str = '012_vision_results'
+down_revision: Union[str, None] = '011_vision_graph'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+OLD_METHODS = ('usb_caliper', 'manual')
+NEW_METHODS = ('usb_caliper', 'manual', 'camera')
+
+
+def upgrade() -> None:
+    op.create_table(
+        'vision_results',
+        sa.Column('id', sa.Integer(), primary_key=True, autoincrement=True),
+        sa.Column('task_id', sa.Integer(),
+                  sa.ForeignKey('recipe_tasks.id'), nullable=False, index=True),
+        sa.Column('image_path', sa.String(length=500), nullable=True),
+        sa.Column('overlay_path', sa.String(length=500), nullable=True),
+        sa.Column('engine_version', sa.String(length=64), nullable=False),
+        sa.Column('executed_on',
+                  sa.Enum('server', 'station', name='vision_executed_on_enum'),
+                  nullable=False),
+        sa.Column('station_id', sa.Integer(),
+                  sa.ForeignKey('stations.id'), nullable=True),
+        sa.Column('device_code', sa.String(length=100), nullable=True),
+        sa.Column('calibration_snapshot', sa.JSON(), nullable=True),
+        sa.Column('graph_snapshot', sa.JSON(), nullable=False),
+        sa.Column('duration_ms', sa.Integer(), nullable=True),
+        sa.Column('executed_at', sa.DateTime(), nullable=False,
+                  server_default=sa.func.now()),
+        mysql_engine='InnoDB',
+        mysql_charset='utf8mb4',
+    )
+
+    with op.batch_alter_table('measurements') as batch:
+        batch.alter_column(
+            'input_method',
+            existing_type=sa.Enum(*OLD_METHODS, name='input_method_enum'),
+            type_=sa.Enum(*NEW_METHODS, name='input_method_enum'),
+            existing_nullable=False,
+        )
+        batch.add_column(
+            sa.Column('vision_result_id', sa.Integer(), nullable=True)
+        )
+        batch.create_foreign_key(
+            'fk_measurements_vision_result',
+            'vision_results', ['vision_result_id'], ['id'],
+        )
+
+
+def downgrade() -> None:
+    with op.batch_alter_table('measurements') as batch:
+        batch.drop_constraint('fk_measurements_vision_result',
+                              type_='foreignkey')
+        batch.drop_column('vision_result_id')
+        batch.alter_column(
+            'input_method',
+            existing_type=sa.Enum(*NEW_METHODS, name='input_method_enum'),
+            type_=sa.Enum(*OLD_METHODS, name='input_method_enum'),
+            existing_nullable=False,
+        )
+
+    op.drop_table('vision_results')