如何将 python `dict` 转换为 `sqlalchemy.engine.row`
How to convert a python `dict` to a `sqlalchemy.engine.row`
我知道我们可以通过 row_dict = dict(row)
将 sqlalchemy.engine.row
转换为 dict
。是否有可能做相反的事情,即像 row = Row(row_dict)
这样的事情?我试过了,但没有用,错误为 *** TypeError: BaseRow expected 5 arguments, got 1
至少你可以做到
import sqlalchemy as sa
engine = sa.create_engine("sqlite:///:memory:")
# test data
data = {"col1": "foo", "col2": "bar"}
sql = "SELECT " + ", ".join([f":{k} as {k}" for k in data])
print(sql) # SELECT :col1 as col1, :col2 as col2
with engine.begin() as conn:
row = conn.execute(sa.text(sql), data).fetchone()
print(type(row)) # <class 'sqlalchemy.engine.row.LegacyRow'>
print(row) # ('foo', 'bar')
print(row.col1) # foo
我知道我们可以通过 row_dict = dict(row)
将 sqlalchemy.engine.row
转换为 dict
。是否有可能做相反的事情,即像 row = Row(row_dict)
这样的事情?我试过了,但没有用,错误为 *** TypeError: BaseRow expected 5 arguments, got 1
至少你可以做到
import sqlalchemy as sa
engine = sa.create_engine("sqlite:///:memory:")
# test data
data = {"col1": "foo", "col2": "bar"}
sql = "SELECT " + ", ".join([f":{k} as {k}" for k in data])
print(sql) # SELECT :col1 as col1, :col2 as col2
with engine.begin() as conn:
row = conn.execute(sa.text(sql), data).fetchone()
print(type(row)) # <class 'sqlalchemy.engine.row.LegacyRow'>
print(row) # ('foo', 'bar')
print(row.col1) # foo