fixing db tables and onplace upgrde

alembic/versions/13939361fc35_data_migration_to_convert_serving_size_.py

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+"""Data migration to convert serving_size to float
+
+Revision ID: 13939361fc35
+Revises: a11a3921f528
+Create Date: 2025-10-01 23:44:34.144506
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision: str = '13939361fc35'
+down_revision: Union[str, None] = 'a11a3921f528'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """
+    Data migration to convert existing string-based 'serving_size' values to floats.
+    This version uses a session to iterate through the data, providing more robust error handling.
+    """
+    bind = op.get_bind()
+    from sqlalchemy.orm import sessionmaker
+    Session = sessionmaker(bind=bind)
+    session = Session()
+
+    # Define a simple table structure for our purpose
+    food_table = sa.Table('foods', sa.MetaData(),
+        sa.Column('id', sa.Integer, primary_key=True),
+        sa.Column('name', sa.String),
+        sa.Column('serving_size', sa.String)  # Treat it as String to be safe
+    )
+
+    try:
+        foods_to_update = session.query(food_table).all()
+        updated_count = 0
+        
+        for food in foods_to_update:
+            # Check if serving_size is a string and needs conversion
+            if isinstance(food.serving_size, str):
+                try:
+                    new_size = float(food.serving_size)
+                    # Use session.execute for the update
+                    session.execute(
+                        food_table.update().
+                        where(food_table.c.id == food.id).
+                        values(serving_size=new_size)
+                    )
+                    updated_count += 1
+                except (ValueError, TypeError):
+                    print(f"Could not convert serving_size for Food ID {food.id} (Name: {food.name}). Value: '{food.serving_size}'")
+
+        if updated_count > 0:
+            session.commit()
+            print(f"Successfully converted {updated_count} food items.")
+        else:
+            print("No food items required an update.")
+
+    except Exception as e:
+        print(f"An error occurred during the data migration: {e}")
+        session.rollback()
+    finally:
+        session.close()
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    # A downgrade for this data migration is not practical as it would require
+    # converting floats back to strings, which could lead to loss of precision.
+    # It is better to back up the database before upgrading.
+    pass
+    # ### end Alembic commands ###

alembic/versions/d0c142fbf0b0_ensure_serving_size_column_is_float.py

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+"""Ensure serving_size column is Float
+
+Revision ID: d0c142fbf0b0
+Revises: 13939361fc35
+Create Date: 2025-10-02 00:27:05.400224
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision: str = 'd0c142fbf0b0'
+down_revision: Union[str, None] = '13939361fc35'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('foods', schema=None) as batch_op:
+        batch_op.alter_column('serving_size',
+               existing_type=sa.VARCHAR(),
+               type_=sa.Float(),
+               existing_nullable=True)
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('foods', schema=None) as batch_op:
+        batch_op.alter_column('serving_size',
+               existing_type=sa.Float(),
+               type_=sa.VARCHAR(),
+               existing_nullable=True)
+    # ### end Alembic commands ###