from sqlalchemy import Float, ForeignKey, String, Table, Column, Integer, MetaData, Date

# NOTE: MetaData object - object where we place out tables
# Essentialy - this is a facade around Python dicts, that stores series of Table objects keyed to their string name
metadata_obj = MetaData()

# Representation of training table
training = Table(
    "training",
    metadata_obj,
    Column("Id", Integer, primary_key=True),
    Column("Date", Date),
)

# Representation of exercise table
exercise = Table(
    "exercise",
    metadata_obj,
    Column("Id", Integer, primary_key=True),
    Column("Training", ForeignKey("training.Id"), nullable=False),
    Column("Name", String(256)),
)

approach = Table(
    "approach",
    metadata_obj,
    Column("Id", Integer, primary_key=True),
    Column("Exercise", ForeignKey("exercise.Id"), nullable=False),
    Column("Weight", Float),
    Column("Reps", Integer),
)


# NOTE: We can access table metadata with associative array `c`
# print(training.c.keys())
# print(training.primary_key)
print(training.name)