class VectorModel(BaseModel):
name = Column(String, hash_key=True)
list_str = Column(List(String))
set_str = Column(Set(String))
map_nested = Column(Map(**{
"bytes": Binary,
"str": String,
"map": Map(**{
"int": Integer,
"str": String
})
}))
Map,
Number,
Set,
String,
)
# ================================================
# Model setup
# ================================================
Product = Map(
**{
'Name': String,
'Rating': Number,
'Updated': DateTime,
'Description': Map(**{
'Title': String,
'Body': String
}),
'Sellers': Set(Integer)
})
class Item(BaseModel):
id = Column(UUID, hash_key=True)
data = Column(Product)
engine = Engine()
engine.bind(BaseModel)
Integer,
List,
LocalSecondaryIndex,
Map,
Number,
Set,
String,
)
DocumentType = Map(**{
'Rating': Number(),
'Stock': Integer(),
'Description': Map(**{
'Heading': String,
'Body': String,
'Specifications': String
}),
'Id': UUID,
'Updated': DateTime
})
class Document(BaseModel):
id = Column(Integer, hash_key=True)
data = Column(DocumentType)
numbers = Column(List(Integer))
value = Column(Number)
another_value = Column(Number)
some_string = Column(String)
nested_numbers = Column(List(List(Integer)))
from bloop import (Column, DateTime, Integer, UUID, String, Map, TypedMap,
Float, new_base, engine_for_profile)
# ================================================
# Model setup
# ================================================
engine = engine_for_profile("test-user-bloop")
Base = new_base()
Product = Map(
**{
'Name': String,
'Rating': Float,
'Updated': DateTime('US/Pacific'),
'Description': Map(**{
'Title': String,
'Body': String
}),
'Sellers': TypedMap(Integer)
})
class Item(Base):
id = Column(UUID, hash_key=True)
data = Column(Product)
engine.bind(base=Base)
# ================================================