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https://github.com/sstent/FitTrack_GarminSync.git
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feat: Initial commit of FitTrack_GarminSync project
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37
examples/GarminSync/migrations/alembic.ini
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37
examples/GarminSync/migrations/alembic.ini
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[alembic]
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script_location = migrations/versions
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sqlalchemy.url = sqlite:///data/garmin.db
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[loggers]
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keys = root,sqlalchemy,alembic
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[handlers]
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keys = console
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[formatters]
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keys = generic
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[logger_root]
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level = WARN
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handlers = console
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qualname =
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[logger_sqlalchemy]
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level = WARN
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handlers =
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qualname = sqlalchemy.engine
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[logger_alembic]
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level = WARN
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handlers =
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qualname = alembic
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[handler_console]
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class = StreamHandler
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args = (sys.stderr,)
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level = NOTSET
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formatter = generic
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[formatter_generic]
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format = %(asctime)s.%(msecs)03d %(levelname)-5.5s [%(name)s] %(message)s
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datefmt = %H:%M:%S
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from alembic import op
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import sqlalchemy as sa
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def upgrade():
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op.add_column('power_analysis', sa.Column('peak_power_1s', sa.Float(), nullable=True))
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op.add_column('power_analysis', sa.Column('peak_power_5s', sa.Float(), nullable=True))
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op.add_column('power_analysis', sa.Column('peak_power_20s', sa.Float(), nullable=True))
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op.add_column('power_analysis', sa.Column('peak_power_300s', sa.Float(), nullable=True))
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op.add_column('power_analysis', sa.Column('normalized_power', sa.Float(), nullable=True))
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op.add_column('power_analysis', sa.Column('intensity_factor', sa.Float(), nullable=True))
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op.add_column('power_analysis', sa.Column('training_stress_score', sa.Float(), nullable=True))
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op.add_column('gearing_analysis', sa.Column('estimated_chainring_teeth', sa.Integer(), nullable=True))
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op.add_column('gearing_analysis', sa.Column('estimated_cassette_teeth', sa.Integer(), nullable=True))
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op.add_column('gearing_analysis', sa.Column('gear_ratio', sa.Float(), nullable=True))
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op.add_column('gearing_analysis', sa.Column('gear_inches', sa.Float(), nullable=True))
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op.add_column('gearing_analysis', sa.Column('development_meters', sa.Float(), nullable=True))
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op.add_column('gearing_analysis', sa.Column('confidence_score', sa.Float(), nullable=True))
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op.add_column('gearing_analysis', sa.Column('analysis_method', sa.String(), default="singlespeed_estimation"))
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def downgrade():
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op.drop_column('power_analysis', 'peak_power_1s')
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op.drop_column('power_analysis', 'peak_power_5s')
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op.drop_column('power_analysis', 'peak_power_20s')
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op.drop_column('power_analysis', 'peak_power_300s')
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op.drop_column('power_analysis', 'normalized_power')
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op.drop_column('power_analysis', 'intensity_factor')
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op.drop_column('power_analysis', 'training_stress_score')
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op.drop_column('gearing_analysis', 'estimated_chainring_teeth')
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op.drop_column('gearing_analysis', 'estimated_cassette_teeth')
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op.drop_column('gearing_analysis', 'gear_ratio')
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op.drop_column('gearing_analysis', 'gear_inches')
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op.drop_column('gearing_analysis', 'development_meters')
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op.drop_column('gearing_analysis', 'confidence_score')
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op.drop_column('gearing_analysis', 'analysis_method')
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"""Add avg_heart_rate and calories columns to activities table
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Revision ID: 20240822165438
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Revises: 20240821150000
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Create Date: 2024-08-22 16:54:38.123456
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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 = '20240822165438'
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down_revision = '20240821150000'
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branch_labels = None
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depends_on = None
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def upgrade():
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op.add_column('activities', sa.Column('avg_heart_rate', sa.Integer(), nullable=True))
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op.add_column('activities', sa.Column('calories', sa.Integer(), nullable=True))
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def downgrade():
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op.drop_column('activities', 'avg_heart_rate')
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op.drop_column('activities', 'calories')
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"""Add reprocessed column
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Revision ID: 20240823000000
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Revises: 20240822165438_add_hr_and_calories_columns
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Create Date: 2025-08-23 00:00:00.000000
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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 = '20240823000000'
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down_revision = '20240822165438_add_hr_and_calories_columns'
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branch_labels = None
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depends_on = None
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def upgrade():
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# Add reprocessed column to activities table
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op.add_column('activities', sa.Column('reprocessed', sa.Boolean(), nullable=True, server_default='0'))
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# Set default value for existing records
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op.execute("UPDATE activities SET reprocessed = 0 WHERE reprocessed IS NULL")
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# Make the column NOT NULL after setting default values
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with op.batch_alter_table('activities') as batch_op:
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batch_op.alter_column('reprocessed', existing_type=sa.Boolean(), nullable=False)
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def downgrade():
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# Remove reprocessed column
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with op.batch_alter_table('activities') as batch_op:
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batch_op.drop_column('reprocessed')
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72
examples/GarminSync/migrations/versions/env.py
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72
examples/GarminSync/migrations/versions/env.py
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from alembic import context
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from sqlalchemy import engine_from_config, pool
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from logging.config import fileConfig
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# this is the Alembic Config object, which provides
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# access to the values within the .ini file you've provided
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config = context.config
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# Interpret the config file for Python logging.
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# This line sets up loggers basically.
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if config.config_file_name is not None:
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fileConfig(config.config_file_name)
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# add your model's MetaData object here
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# for 'autogenerate' support
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# from myapp import mymodel
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# target_metadata = mymodel.Base.metadata
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target_metadata = None
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# other values from the config, defined by the needs of env.py,
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# can be acquired:
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# my_important_option = config.get_main_option("my_important_option")
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# ... etc.
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def run_migrations_offline():
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"""Run migrations in 'offline' mode.
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This configures the context with just a URL
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and not an Engine, though an Engine is acceptable
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here as well. By skipping the Engine creation
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we don't even need a DBAPI to be available.
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Calls to context.execute() here emit the given string to the
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script output.
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"""
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url = config.get_main_option("sqlalchemy.url")
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context.configure(
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url=url,
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target_metadata=target_metadata,
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literal_binds=True,
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dialect_opts={"paramstyle": "named"},
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)
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with context.begin_transaction():
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context.run_migrations()
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def run_migrations_online():
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"""Run migrations in 'online' mode.
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In this scenario we need to create an Engine
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and associate a connection with the context.
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"""
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connectable = engine_from_config(
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config.get_section(config.config_ini_section, {}),
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prefix="sqlalchemy.",
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poolclass=pool.NullPool,
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)
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with connectable.connect() as connection:
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context.configure(
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connection=connection, target_metadata=target_metadata
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)
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with context.begin_transaction():
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context.run_migrations()
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if context.is_offline_mode():
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run_migrations_offline()
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else:
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run_migrations_online()
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